Sustainability of what and how do we know? Measuring projects, programs, policies…

On my way to present at the European Evaluation Society’s annual conference, I wanted to close the loop on the Nordic and Netherlands ex-post analysis. The reason is, that we’ll be discussing the intersection of different ways to evaluate ‘sustainability’ over the long- and short-term, and how we’re transforming evaluation systems. The session on Friday morning is called “Long- And Short-Term Dilemmas In Sustainability Evaluations” (Cekan, Bodnar, Hermans, Meyer, and Patterson). We come from academia as professors, consultancies to International organizations, International/ national non-profits, and our European (Dutch, German, Czech), South African, and American governments. We’ll discuss it as a ‘fishbowl’ of ideas.

The session’s abstract adds the confounding factor of program vs project versus portfolio-wide evaluations all-around sustainability.

Details on our session are below and why I’m juxtaposing it to the Nordic and Netherlands ex-posts in detail, comes next. As we note in our EES ’22 session description, “One of the classic complications in sustainability is dealing with short-term – long-term dilemmas. Interventions take place in a local and operational setting, affecting the daily lives of stakeholders. Sustainability is at stake when short-term activities are compromising the long-term interests of these stakeholders and future generations, for instance, due to a focus on the achievement of shorter-term results rather than ensuring durable impacts for participants… Learning about progress towards the SDGs or the daunting task of keeping a global temperature rise this century well below 2 degrees Celsius above pre-industrial levels, for instance, requires more than nationally and internationally agreed indicator-systems, country monitoring, and reporting and good intentions.”

But there are wider ambitions for most sustainability activities undertaken by a range of donors, policy actors, project implementers, and others: Sustainability “needs to span both human-social and natural-ecological systems’ time scales. Furthermore, long-term sustainability, in the face of climate change and SDGs, demands a dynamic view, with due attention for complexity, uncertainty, resilience, and systemic transformation pathways…. the need for a transformation of current evaluation systems – seeing them as nested or networked systems… Their focus may range from focused operational projects to the larger strategic programmes of which these projects are part, to again the larger policies that provide the context or drivers for these programmes. Analogue to these nested layers runs a time dimension, from the short-term projects (months to years), to multi-year programmes, to policies with outlooks of a decade or more.” 

When Preston did his research in 2020-21 which I oversaw, we focused on the projects precisely because that is where we believe ‘impact’ happens in a measurable way by participants and partners. Yet we found that many defined their parameters differently. Preston writes, “This paper focuses on what such research [on projects evaluated at least 2 years post-closure] yielded, not definitive findings of programs or multi-year country strategies that are funded for 20-30 years continuously, nor projects funded by country-level embassies which did not feature on the Ministry site. We focus on project bilateral project evaluations, not multilateral funding of sectors. We also …received input that Sweden’s EBA has a (non-project [not ex-post] portfolio of ‘country evaluations’ which looked back over 10 or even 20-year time horizons

So we present these compiled detailed studies on the Netherlands, Norway, Finland,  Sweden, and Denmark for your consideration. Can we arrive at a unified definition of ‘sustainability’ or imagine a unified ‘sustainability evaluation’ definition and scope? I hope so, will let you know after EES this week! What do you think, is it possible?

Can We Assume Sustained Impact? Verifying the Sustainability of Climate Change Mitigation Results (reposting a book chapter)

So excited to have our chapter verifying the ‘sustainability’ of the Global Environment Facility Trust Fund (GEF) funded projects through examining two tranches of evaluations. My co-writer colleague Susan Legro did a brilliant job pointing out GreenHouse Gasses (GHG) emissions estimated reductions flaws. Given climate change is in full swing, we must trust the data we have.

It appeared in Transformational Change for People and the Planet: Evaluating Environment and Development Edited by  Juha I. Uitto and Geeta Batra. Enjoy!

Abstract

The purpose of this research was to explore how public donors and lenders evaluate the sustainability of environmental and other sectoral development interventions. Specifically, the aim is to examine if, how, and how well post project sustainability is evaluated in donor-funded climate change mitigation (CCM) projects, including the evaluability of these projects. We assessed the robustness of current evaluation practice of results after project exit, particularly the sustainability of outcomes and long-term impact. We explored methods that could reduce uncertainty of achieving results by using data from two pools of CCM projects funded by the Global Environment Facility (GEF).

Evaluating sustainable development involves looking at the durability and continuation of net benefits from the outcomes and impacts of global development project activities and investments in various sectors in the post project phase, i.e., from 2 to 20 years after donor funding ends.1 Evaluating the sustainability of the environment is, according to the Organisation for Economic Co-operation and Development (OECD, ), at once a focus on natural systems of “biodiversity, climate change, desertification and environment” (p.1) that will need to consider the context in which these are affected by human systems of “linkages between poverty reduction, natural resource management, and development” (p. 3). This chapter focuses more narrowly on the continuation of net benefits from the outcomes and impacts of a pool of climate change mitigation (CCM) projects (see Table 1). The sustainability of CCM projects funded by the Global Environment Facility (GEF), as in a number of other bilateral and multilateral climate funds, rests on a theory of change that a combination of technical assistance and investments contribute to successfully durable market transformation, thus reducing or offsetting greenhouse gas (GHG) emissions.

 

Table 1: Changes in OECD DAC Criteria from 1991 to 2019

1991

2019

SUSTAINABILITY:

SUSTAINABILITY: WILL THE BENEFITS LAST?

Sustainability is concerned with measuring whether the benefits of an activity are likely to continue after donor funding has been withdrawn. Projects need to be environmentally as well as financially sustainable.

The extent to which the net benefits of the intervention continue, or are likely to continue. Note: Includes an examination of the financial, economic, social, environmental, and institutional capacities of the systems needed to sustain net benefits over time. Involves analyses of resilience, risks, and potential trade-offs.

IMPACT:

IMPACT:

The positive and negative changes produced by a development intervention, directly or indirectly, intended or unintended. This involves the main impacts and effects resulting from the activity on the local social, economic, environmental, and other development indicators.

The extent to which the intervention has generated or is expected to generate significant positive or negative, intended or unintended, higher-level effects. . . . It seeks to identify social, environmental, and economic effects of the intervention that are longer-term or broader in scope.

Source: OECD/DAC Network on Development Evaluation, (); italics are emphasis added by Cekan

 

CCM projects lend themselves to such analysis, as most establish ex-ante quantitative mitigation estimates and their terminal evaluations often contain a narrative description and ranking of estimated sustainability beyond the project’s operational lifetime, including the achievement of project objectives. The need for effective means of measuring sustainability in mitigation projects is receiving increasing attention (GEF Independent Evaluation Office [IEO], ) and is increasingly important, as Article 13 of the Paris Agreement mandates that countries with donor-funded CCM projects report on their actions to address climate change (United Nations, ). As several terminal evaluations in our dataset stated, better data are urgently needed to track continued sustainability of past investments and progress against emissions goals to limit global warming.

Measuring Impact and Sustainability

Although impactful projects promoting sustainable development are widely touted as being the aim and achievement of global development projects, these achievements are rarely measured beyond the end of the project activities. Bilateral and multilateral donors, with the exception of the Japan International Cooperation Agency (JICA) and the U.S. Agency for International Development (USAID),2 have reexamined fewer than 1% of projects following a terminal evaluation, although examples exist of post project evaluations taking place as long as 15 years (USAID) and 20 years (Deutsche Gesellschaft fur Internationale Zusammenarbeit [GIZ]) later (Cekan, ). Without such fieldwork, sustainability estimates can only rely on assumptions, and positive results may in fact not be sustained as little as 2 years after closure. An illustrative set of eight post project global development evaluations analyzed for the Faster Forward Fund of Michael Scriven in 2017 showed a range of results: One project partially exceeded terminal evaluation results, two retained the sustainability assumed at inception, and the other five showed a decrease in results of 20%–100% as early as 2 years post-exit (Zivetz et al., ).

 

Since the year 2000, the U.S. government and the European Union have spent more than $1.6 trillion on global development projects, but fewer than several hundred post project evaluations have been completed, so the extent to which outcomes and impacts are sustained is not known (Cekan, ). A review of most bilateral donors shows zero to two post project evaluations (Valuing Voices, ). A rare, four-country, post project study of 12 USAID food security projects also found a wide variability in expected trajectories, with most projects failing to sustain expected results beyond as little as 1 year (Rogers & Coates, ). The study’s Tufts University team leaders noted that “evidence of project success at the time of exit (as assessed by impact indicators) did not necessarily imply sustained benefit over time.” (Rogers & Coates, , p. v.). Similarly, an Asian Development Bank (ADB) study of post project sustainability found that “some early evidence suggests that as many as 40% of all new activities are not sustained beyond the first few years after disbursement of external funding,” and that review examined fewer than 14 of 491 projects in the field (ADB, ). The same study described how assumed positive trajectories post funding fail to sustain and noted a

tendency of project holders to overestimate the ability or commitment of implementing partners—and particularly government partners—to sustain project activities after funding ends. Post project evaluations can shed light on what contributes to institutional commitment, capacity, and continuity in this regard. (ADB, , p. 1)

 

Learning from post project findings can be important to improve project design and secure new funding. USAID recently conducted six post project evaluations of water/sanitation projects and learned about needed design changes from the findings, and JICA analysed the uptake of recommendations 7 years after closure (USAID, ; JICA, ). As USAID stated in their  guidance,

An end-of-project evaluation could address questions about how effective a sustainability plan seems to be, and early evidence concerning the likely continuation of project services and benefits after project funding ends. Only a post project evaluation, however, can provide empirical data about whether a project’s services and benefits were sustained. (para. 9)

 

Rogers and Coates () expanded the preconditions for sustainability beyond only funding, to include capacities, partnerships, and ownership. Cekan et al. () expanded ex-post project methods from examining the sustainability of expected project outcomes and impacts post closure to also evaluating emerging outcomes, namely “what communities themselves valued enough to sustain with their own resources or created anew from what [our projects] catalysed” (para. 19). In the area of climate change mitigation, rigorous evaluation of operational sustainability in the years following project closure should inform learning for future design and target donor assistance on projects that are most likely to continue to generate significant emission reductions.

How Are Sustainability and Impact Defined?

The original 1991 OECD Development Assistance Committee (DAC) criteria for evaluating global development projects included sustainability, and the criteria were revised in 2019. The revisions related to the definition of sustainability and emphasize the continuation of benefits rather than just activities, and they include a wider systemic context beyond the financial and environmental resources needed to sustain those benefits, such as resilience, risk, and trade-offs, presumably for those sustaining the benefits. Similarly, the criteria for impact have shifted from simply positive/negative, intended/unintended changes to effects over the longer term (see Table 1).

 

In much of global development, including in GEF-funded projects, impact and sustainability are usually estimated only at project termination, “to determine the relevance and fulfilment of objectives, development efficiency, effectiveness, impact and [projected] sustainability” (OECD DAC, , p. 5). In contrast, actual sustainability can only be evaluated 2–20 years after all project resources are withdrawn, through desk studies, fieldwork, or both. The new OECD definitions present an opportunity to improve the measurement of sustained impact across global development, particularly via post project evaluations. Evaluations need to reach beyond projected to actual measurement across much of “sustainable development” programming, including that of the GEF.

 

GEF evaluations in recent years have been guided by the organization’s 2010 measurement and evaluation (M&E) policy, which requires that terminal evaluations “assess the likelihood of sustainability of outcomes at project termination and provide a rating” (GEF Independent Evaluation Office [IEO], p. 31). Sustainability is defined as “the likely ability of an intervention to continue to deliver benefits for an extended period of time after completion; projects need to be environmentally as well as financially and socially sustainable” (GEF IEO, , p. 27).

 

In 2017, the GEF provided specific guidance to implementing agencies on how to capture sustainability in terminal evaluations of GEF-funded projects (GEF, , para. 8 and Annex 2): “The overall sustainability of project outcomes will be rated on a four-point scale (Likely to Unlikely)”:

  • Likely (L) = There are little or no risks to sustainability;

  • Moderately Likely (ML) = There are moderate risks to sustainability;

  • Moderately Unlikely (MU) = There are significant risks to sustainability;

  • Unlikely (U) = There are severe risks to sustainability; and

  • Unable to Assess (UA) = Unable to assess the expected incidence and magnitude of risks to sustainability

 

Although this scale is a relatively common measure for estimating sustainability among donor agencies, it is not a measure that has been tested for reliability, i.e., whether multiple raters would provide the same estimate from the same data. It has also not been tested for construct validity, i.e., whether the scale is an effective predictive measure of post project sustainability. Validity issues include whether an estimate of risks to sustainability is a valid measure of the likelihood of post project sustainability, whether the narrative estimates of risk are ambiguous or double-barreled; and the efficacy of using a ranked, ordinal scale that treats sustainability as an either/or condition rather than a range (from no sustainability to 100% sustainability).

 

Throughout this chapter, we identify projects by their GEF identification numbers, with a complete table of projects provided in the appendix.

The Limits of Terminal Evaluations

Terminal evaluations and even impact evaluations that mostly compare effectiveness rather than long-term impact were referenced as sources for evaluating sustainability in the GEF’s 2017 Annual Report on Sustainability (GEF IEO, ). Although they can provide useful information on relevance, efficiency, and effectiveness, neither is a substitute for post project evaluation of the sustainability of outcomes and impacts, because projected sustainability may or may not occur. In a terminal evaluation of Mexican Sustainable Forest Management and Capacity Building (GEF ID 4149), evaluators made the case for ex-post project monitoring and evaluation of results:

There is no follow-up that can measure the consolidation and long-term sustainability of these activities. . . . Without a proper evaluation system in place, nor registration, it is difficult to affirm that the rural development plans will be self-sustaining after the project ends, nor to what extent the communities are readily able to anticipate and adapt to change through clear decision-making processes, collaboration, and management of resources. . . . They must also demonstrate their sustainability as an essential point in development with social and economic welfare from natural resources, without compromising their future existence, stability, and functionality. (pp. 5–9)3

 

Returning to a project area after closure also fosters learning about the quality of funding, design, implementation, monitoring, and evaluation and the ability of those tasked with sustaining results to do so. Learning can include how well conditions for sustainability were built in, tracked, and supported by major stakeholders. Assumptions made at design and final evaluation can then also be tested, along with theories of change (Sridharam & Nakaima, ). Finally, post project evaluations can verify the attributional claims made at the time of the terminal evaluation. As John Mayne explained in his  paper:

In trying to measure the performance of a program, we face two problems. We can often—although frequently not without some difficulty—measure whether or not these outcomes are actually occurring. The more difficult question is usually determining just what contribution the specific program in question made to the outcome. How much of the success (or failure) can we attribute to the program? What has been the contribution made by the program? What influence has it had? (p. 3)

 

In donor- and lender-funded CCM projects, emission reduction estimates represent an obvious impact measure. They are generally based on a combination of direct effects—i.e., reductions due to project-related investments in infrastructure—and indirect effects—i.e., reductions due to the replication of “market transformation” investments from other funding or an increase in climate-friendly practices due to improvements in the policy and regulatory framework (Duval, ; Legro, ). Both of these effects are generally estimated over the lifetime of the mitigation technology involved, which is nearly always much longer than the operational duration of a given project (see Table 2).

 

Table 2: Typology of GHG Reductions Resulting from Typical Project Interventions

Type of GHG reductions

Project lifetime (quarterly annual monitoring)

TERMINAL EVALUATION

Post project lifetime (post project evaluation)

Direct reductions

Reductions directly financed by donor-funded pilot project(s) or investment(s)

Continuing reductions from project-financed investments (through the end of the technology lifetime; e.g., 20 years for buildings, 10 years for industrial equipment, etc.)

Indirect reductions

Reductions from policy uptake (e.g., reduced fossil fuel use from curtailment of subsidies, spillover effects from tax incentives, increased government support for renewable energy due to strategy development) (co-) funded by the donor

Continuing reductions from policy uptake (e.g., reduced fossil fuel use from curtailment of subsidies, spillover effects from tax incentives, increased government support for energy efficiency or renewable energy due to strategy development)

Reductions from market transformation (changes in availability of financing, increased willingness of lenders, reduction in perceived risk) supported by pilot demonstrations and/or outreach and awareness raising (co-)funded by the donor

Continuing reductions from market transformation (changes in availability of financing, increased willingness of lenders, reduction in perceived risk) as a legacy of the pilot demonstrations and/or outreach and awareness raising funded by the donor-funded project

New reductions from the continuation of the investment or financing mechanism established by the donor-funded project

 

The increasing use of financial mechanisms such as concessional loans and guarantees as a component of donor-funded CCM projects, such as those funded by the Green Climate Fund (https://www.greenclimate.fund/), can also limit the ability of final evaluations to capture sustainability, because the bulk of subsequent investments in technologies that are assumed with revolving funds will not take place during the project lifetime. A 2012 paper by then-head of the GEF Independent Evaluation Office, Rob van den Berg, supported the need for post project evaluation and importantly included:

Barriers targeted by GEF projects, and the results achieved by GEF projects in addressing market transformation barriers . . . facilitate in understanding better whether the ex-post changes being observed in the market could be linked to GEF projects and pathways through which outcomes and intermediate states . . . [and] the extent GEF-supported CCM activities are reducing GHGs in the atmosphere . . . because it helps in ascertaining whether the incremental GHG reduction and/or avoidance is commensurate with the agreed incremental costs supported by GEF. . . . It is imperative that the ex-ante and ex-post estimates of GHG reduction and avoidance benefits are realistic and have a scientific basis. (GEF IEO, , p. 13)

 

This description of GHG-related impacts illustrates the difficulties associated with accurately drawing conclusions about sustainability from using a single scale to estimate “the likely ability [emphasis added] of an intervention to continue to deliver benefits for an extended period of time” (GEF IEO, , p. 35) due to several factors. First, the GEF’s 4-point scale is supposed to capture two different aspects of continuation: ongoing benefits from a project-related investment, and new benefits from the continuation of financing mechanisms. Without returning to evaluate the continued net benefits of the now-closed investment, such assumptions cannot be fully claimed. Second, the scale is supposed to capture benefits that can be estimated in a quantitative way (e.g., solar panels that offset the use of a certain amount of electricity from diesel generators); benefits that can be evaluated through policy or program evaluation (e.g., the introduction of a law on energy efficiency); and benefits that will require careful, qualitative study to determine impacts (e.g., training programs for energy auditors or awareness-raising for energy consumers, leading to knowledge and decision changes). Aggregating and weighing such an array of methods into one ranking is methodologically on shaky ground, especially without post project measurements to confirm whether results happened at any time after project closure.

Methodology

The impetus for this research was a sustainability analysis conducted by the GEF IEO that was summarized in the 2017 GEF Annual Performance Report (GEF IEO, ). The study stated: “The analysis found that outcomes of most of the GEF projects are sustained during the postcompletion period, and a higher percentage of projects achieve environmental stress reduction and broader adoption than at completion” (p. 17). Learning more about postcompletion outcomes and assessing how post project sustainability was evaluated was the aim of this work.

 

This chapter’s research sample consists of two sets of GEF project evaluations. We chose projects funded by the GEF because of the large size of the total project pool. For example, the Green Climate Fund lacks a large pool of mitigation projects that would be suitable for post project evaluation. Our first tranche was selected from the pool of CCM projects cited in the sustainability analysis, which included a range of projects with the earliest start date of 1994 and the latest closing date of 2013 (GEF IEO, ). These constituted $195.5 million dollars of investments. The pool of projects in the climate change focal area (n = 17), comprising one third of the GEF IEO sample, was then selected from the 53 projects listed in the report for further study. We then classified the selected projects by which ones had any mention of field-based post project verification according to an evaluability checklist (Zivetz et al., ). This list highlights methodological considerations including: (a) data showing overall quality of the project at completion, including M&E documentation needed on original and post project data collection; (b) time postcompletion (at least 2 years); (c) site selection criteria; and (d) proof that project results were isolated from concurrent programming to ascertain contribution to sustained impacts (Zivetz et al., ).

 

Next, we reviewed GEF documentation to identify any actual quantitative or qualitative measures of post project outcomes and impacts. These could include: (a) changes in actual energy efficiency improvements against final evaluation measures used, (b) sustained knowledge or dissemination of knowledge change fostered through trainings, (c) evidence of ownership, or (d) continued or increased dissemination of new technologies. Such verification of assumptions in the final documents typically explores why the assumptions were or were not met, and what effects changes in these assumptions would have on impacts, such as CO2 emissions projections.

 

The second tranche consisted of projects in the climate change focal area that were included in the 2019 cohort of projects for which the GEF received terminal evaluations. As the GEF 2019 Annual Performance Report explained:

Terminal evaluations for 193 projects, accounting for $ 616.6 million in GEF grants, were received and validated during 2018–2019 and these projects constitute the 2019 cohort. Projects approved in GEF-5 (33 percent), GEF-4 (40 percent) and GEF-3 (20 percent) account for a substantial share of the 2019 cohort. Although 10 GEF Agencies are represented in the 2019 cohort, most of these projects have been implemented by UNDP [United Nations Development Programme] (56 percent), with World Bank (15 percent) and UNEP [United Nations Environment Programme] (12 percent) also accounting for a significant share. (GEF IEO, , p. 9)

 

We added the second tranche of projects to represent a more current view of project performance and evaluation practice.

The climate change focal area subset consisted of 38 completed GEF projects, which account for approximately $155.7 million in GEF grants (approximately 20% of the total cohort and 25% of the overall cohort budget). Projects included those approved in 1995–1998 (GEF-1; n = 1) and 2003–2006 (GEF-3; n = 2), but 68% were funded in 2006–2010 (GEF-4; n = 26), and 24% in 2010–2014 (GEF-5; n = 9), making them more recent as a group than the 2019 cohort as a whole. Six GEF agencies were represented: Inter-American Development Bank (IDB), International Fund for Agricultural Development (IFAD), UNDP, UNEP, United Nations Industrial Development Organization (UNIDO), and the World Bank.

 

We eliminated three projects listed in the climate focal area subset from consideration in the second tranche because they had not been completed, leaving a pool of 35 projects. Ex-ante project documentation, such as CEO endorsement requests, and terminal evaluation reports were then reviewed for initial estimates of certain project indicators, such as GHG emission reductions, and ratings of estimated sustainability on the 4-point scale, including the narrative documentation that accompanied the ratings.

Findings

The question of whether post project sustainability was being measured was based on the first tranche of projects and on the sustainability analysis in which they were included. Most of the documents cited in the sustainability analysis were either terminal or impact evaluations focused on efficiency (GEF IEO, ), and most of the documents and report analysis focused on estimated sustainability. Of the 53 “postcompletion verification reports,” as they are referred to in the review (GEF IEO, , p. 62), we found only 4% to contain adequate information to support the analysis of sustainability. Our wider search for publicly available post project evaluations, which would have constituted an evidence base for sustained outcomes and environmental stress reduction and adoption cited in the GEF IEO 2019 analysis, did not identify any post project evaluations. We were unable to replicate the finding that “84% of these projects that were rated as sustainable at closure also had satisfactory postcompletion outcomes. . . . Most projects with satisfactory outcome ratings at completion continued to have satisfactory outcome ratings at postcompletion” (GEF IEO, , p. 3) or to compare the CCM subset of projects with this conclusion. The report stated that “the analysis of the 53 selected projects is based on 61 field verification reports. For 81 percent of the projects, the field verification was conducted at least four years after implementation completion [emphasis added].” However, we found no publicly accessible documentation that could be used to confirm the approach to field verification for 8 of the 17 projects.

 

Similarly, the available documentation for the projects lacked the most typical post project hallmarks, such as methods of post project data collection, comparisons of changes from final to post project outcomes and impacts at least 2 years post closure, and tracing contribution of the project at the funded sites to the changes. Documentation focused on a rating of estimated sustainability with repeated references to only the terminal evaluations and closure reports. In summary, of the 17 projects selected for review in the first tranche, 14 had data consisting of terminal evaluations, and none was 2–20 years post closure. We did not find publicly available evidence to support measurement of post project sustainability other than statements that such evidence was gathered in a handful of cases. Of the pool of 17 projects, only two (both from India) made any reference to post project data regarding the sectors of activity in subsequent years. However, these two were terminal evaluations within a country portfolio review and could not be substantiated with publicly accessible data.

 

We then screened the first tranche of projects using the Valuing Voices evaluability checklist (Zivetz et al., ):

  • High-quality project data at least at terminal evaluation, with verifiable data at exit: Of 14 projects rated for sustainability, only six were rated likely to be sustained and outcome and impact data were scant.

  • Clear ex-post methodology, sufficient samples: None of the evaluations available was a post project evaluation of sustainability or long-term impact. Although most projects fell within the evaluable 2–20 years post project (the projects had been closed 4–20 years), none had proof of return evaluation. There were no clear post project sampling frames, data collection processes including identification of beneficiaries/informants, site selection, isolating legacy effects of the institution or other concurrent projects, or analytic methods.

  • Transparent benchmarks based on terminal, midterm, and/or baseline data on changes to outcomes or impacts: M&E documents show measurable targets and indicators, baseline vs. terminal evaluations with methods that are comparable to methods used in the post project period: For some of the 17 projects, project inception documents and terminal evaluations were available; in other cases, GEF evaluation reviews were available. Two had measurable environmental indicators that compared baseline to final, but none were after project closure.

  • Substantiated contribution vs. attribution of impacts: Examples of substantiated contribution were not identified.

 

Evaluation reports revealed several instances for which we could not confirm attribution. For example, evaluation of the project Development of High Rate BioMethanation Processes as Means of Reducing Greenhouse Gas Emissions (GEF ID 370), which closed in 2005, referenced the following subsequent market information:

As of Nov 2012, capacity installed from waste-to-energy projects running across the country for grid connected and captive power are 93.68MW and 110.74 MW respectively [versus 3.79KW from 8 sub-projects and 1-5 MW projects]. . . . The technologies demonstrated by the 16 sub-projects covered under the project have seen wide-scale replication throughout the country. . . . An installed capacity of 201.03MW within WTE [waste to energy] projects and the 50% of this is attributed to the GEF project. (GEF IEO, , vol. 2, p. 64)

 

Claims of “the technical institutes strengthened as a result of the project were not fully effective at the time of project completion but are now actively engaged in the promotion of various biomethanation technologies” are unsubstantiated in publicly available information; as a result, the ex-post methods of contribution/attribution data are not clear. Another project in India, Optimizing Development of Small Hydel [hydroelectric] Resources in Hilly Areas (GEF ID 386), projected that later investments in the government’s 5-year plans would happen, and the resulting hydropower production would be attributable to the original project (GEF IEO, ); again, this attributional analysis was not documented. Analysis of a third project in India, Coal Bed Methane Capture and Commercial Utilization (GEF ID 325), which closed in 2008, claimed results that could not be reproduced: “Notable progress has been made through replication of projects, knowledge sharing, and policy development” and “expertise was built” (GEF IEO, , Vol. 2, p. 90). Further claims that the project contributed to “the total coal bed methane production in the country and has increased to 0.32 mmscmd [million metric standard cubic meters per day], which is expected to rise to 7.4 mmscmd by the end of 2014” is without proof. The evaluation reported estimates of indirect GHG emission reduction, based on postcompletion methane gas production estimates of 0.2 million m3 per day:

1.0 Million tons equivalent per year, considering an adjustment factor of 0.5 as the GEF contribution [emphasis added], the indirect GHG emission reduction due to the influence of the project is estimated to be 0.5 million tons of CO2 equivalent per annum (2.5 million tons over the lifetime period of 5 years). (GEF IEO, , Vol. 2, p. 91)

 

Yet without verification of coal bed methane capture and commercial utilization continuing, this impact cannot be claimed.

How Is Sustainability Being Captured?

Fifteen of the 17 CCM projects we reviewed in the first tranche were rated on a 4-point scale at terminal evaluation. Of those 15, 12 had overall ratings of either satisfactory or marginally satisfactory, and one highly satisfactory overall. Eleven of the sustainability ratings were either likely or marginally likely. Only two projects were rated marginally unlikely overall or for sustainability, and only one project received marginally unlikely in both categories (the Demand Side Management Demonstration energy conservation project that ended in 1999 [GEF ID 64]). Although none of the documents mentioned outcome indicators, eight of the 17 rated estimated CO2 direct and indirect impacts.

 

In the second pool of projects—the CCM subset of the 2019 cohort—63% of the projects were rated in the likely range for sustainability (n = 22; nine were rated likely and 13 marginally likely). This is slightly higher than the 2019 cohort as a whole, in which 59% were rated in the likely range. In turn, the 2019 annual performance report noted that “the difference between the GEF portfolio average and the 2019 cohort is not statistically significant for both outcome and sustainability rating” (GEF IEO, , p. 9). It is slightly lower than the percentage of CCM projects receiving an overall rating of marginally likely or higher in the 2017 portfolio review (68%, n = 265; GEF IEO, , p. 78).

 

In this second set of projects, only two received a rating of marginally unlikely and only one received a sustainability rating of unlikely. The remainder of the projects could not be classified using the 4-point rating scale, either because they had used an either/or estimate (one project), a 5-point scale (one project), or an estimate based on the assessment of risks to development outcome (two projects). Six projects or could not be assessed due to the absence of a publicly accessible terminal evaluation in the GEF and implementing agency archives.

How Effectively Is Sustainability Being Captured?

Throughout the first set of reports on which the sustainability was claimed, “84% of these projects that were rated as sustainable at closure also had satisfactory postcompletion outcomes, as compared with 55% percent of the unsustainable projects” (GEF IEO, , p. 29). The data did not support the claim, even during implementation.

  • As a Brazilian project (GEF ID 2941) showed, sustainability is unlikely when project achievements are weak, and exit conditions and benchmarks need to be clear: The exit strategy provided by IDB Invest77 is essentially based on financial-operational considerations but does not provide answers to the initial questions how an EEGM [energy efficiency guarantee mechanism] should be shaped in Brazil, how relevant it is and for whom, and to whom the EEGM should be handed over (p. 25).

  • In Russia, the terminal evaluation for an energy efficiency project (GEF ID 292) cited project design flaws that seemed to belie its sustainability rating of likely: “From a design-for-replication point of view the virtually 100% grant provided by the GEF for project activities is certainly questionable” (Global Environment Facility Evaluation Office [GEF EO], , p. 20). Further, the assessment that “the project is attractive for replication, dissemination of results has been well implemented, and the results are likely to be sustainable [emphasis added] for the long-term, as federal and regional legislation support is introduced” (GEF EO, , p. 39), makes a major assumption regarding changes in the policy environment. (In fact, federal legislation was introduced 2 years post project, and the extent of enforcement would require examination.)

  • A Pacific regional project (GEF ID 1058) was rated as likely to be sustained, but its report notes that it “does not provide overall ratings for outcomes, risks to sustainability, and M&E” (p. 1).

  • The Renewable Development Energy project in China (GEF ID 446) that closed in 2007 was evaluated in 2009 (not post project, but a delayed final evaluation). The report considered the project sustainable with a continued effort to support off-grid rural electrification, claiming, “the market is now self-sustaining, and thus additional support is not required” (p. 11). The project estimated avoided CO2 emissions and cited 363% as achieved; however, calculations were based on 2006 emissions values for thermal power sector and data from all wind farms in China, without a bottom-up estimate. The interpolation of this data lacks verification.

  • Similar sampling issues emerge in a project in Mexico (GEF ID 643): “A significant number of farmers . . . of an estimated 2,312 farmers who previously had had no electricity” (p. 20) saw their productivity and incomes increase as a result of their adoption of productive investments (e.g., photovoltaic-energy water-pumping systems and improved farming practices). A rough preliminary estimate is extrapolated from an evaluation of “three [emphasis added] beneficiary farms, leading to the conclusion that in these cases average on-farm increases in income more than doubled (rising by139%)” (p. 21).

 

Baseline to terminal evaluation comparisons were rare, with the exception of photovoltaic energy projects in China and Mexico, and none were post project. Two were mid-term evaluations, which could not assess final outcomes much less sustainability. Ex-post project evaluations far more typically focus on the contributions that projects made, because only in rare cases can the attribution be isolated, especially for a project pool, where the focus is often on creating an enabling environment reliant on a range of actors. One such example is the Indian energy efficiency project approved in 1998 (GEF ID 404), in which

the project resulted in a favorable environment for energy-efficiency measures and the sub-projects inspired many other players in similar industries to adopt the demonstrated technologies. Although quantitative data for energy saved by energy efficiency technologies in India is not available, it is evident that due to the change in policy and financial structure brought by this project, there is an increase in investment in energy efficiency technologies in the industries. (GEF IEO, , Vol. 2., p. 95)

 

And while such GEF evaluators are asking for ex-post evaluation, in an earlier version of this book, Evaluating Climate Change Action for Sustainable Development (Uitto et al., ), the authors encouraged us to be “modest” in expectations of extensive ex-post evaluations and exploration of ex-post’s confirmatory power seemingly has not occurred:

The expectations have to be aligned with the size of the investment. The ex-post reconstruction of baselines and the assessment of quantitative results is an intensive and time-consuming process. If rigorous, climate change-related quantitative and qualitative data are not available in final reports or evaluations of the assessed projects, it is illusive to think that an assessment covering a portfolio of several hundred projects is able to fill that gap and to produce aggregated quantitative data, for example on mitigated GHG emissions. When producing data on proxies or qualitative assessments, the expectations must be realistic, not to say modest. (p. 89)

Project Evaluability

Following an analysis of the sustainability estimates in the first pool of projects, we screened project documentation and terminal evaluations for conditions that foster sustainability during planning, implementation, and exit. We also analyzed how well the projects reported on factors that could be measured in a post project evaluation and factors that would predispose projects to sustainability. These sustained impact conditions consisted of the following elements: (a) resources, (b) partnerships and local ownership, (c) capacity building, (d) emerging sustainability, (e) evaluation of risks and resilience, and (f) CO2 emissions (impacts).

 

Although documentation in evaluations did not verify sustainability, many examples exist of data collection that could support post project analyses of sustainability and sustained impacts in the future. Most reports cited examples of resources that had been generated, partnerships that had been fostered for local ownership and sustainability, and capacities that had been built through training. Some terminal evaluations also captured emerging impacts due to local efforts to sustain or extend impacts of the project that had not been anticipated ex-ante.

 

The Decentralized Power Generation project (GEF ID 4749) in Lebanon provides a good example of a framework to collect information on elements of sustainability planning at terminal (see Table 3).

 

Table 3: Sustainability Planning from a Decentralized Power Generation Project in Lebanon (GEF ID 4749)

Resources

Are there financial risks that may jeopardize the sustainability of project outcomes?

What is the likelihood of financial and economic resources not being available once GEF grant assistance ends?

Ownership

What is the risk, for instance, that the level of stakeholder ownership (including ownership by governments and other key stakeholders) will be insufficient to allow for the project outcomes/benefits to be sustained?

Do the various key stakeholders see that it is in their interest that project benefits continue to flow?

Is there sufficient public/stakeholder awareness in support of the project’s long-term objectives?

Partnerships

Do the legal frameworks, policies, and governance structures and processes within which the project operates pose risks that may jeopardize sustainability of project benefits?

Benchmarks, risks, & resilience

Are requisite systems for accountability and transparency, and required technical know-how, in place?

Are there ongoing activities that may pose an environmental threat to the sustainability of project outcomes?

Are there social or political risks that may threaten the sustainability of project outcomes?

Source: 4749 Terminal Evaluation, p. 45. Note: Capacity Building and Emerging Sustainability were missing from project 4749

 

Tangible examples of the above categories at terminal evaluations include the following.

Resources

The most widespread assumption for sustainability was sufficient financial and in-kind resources, often reliant on continued national investments or new private international investments, which could be verified. National resources that could sustain results include terminal evaluation findings such as:

Funding for fuel cell and electric vehicle development by the Chinese Government had increased from Rmb 60 million (for the 1996-2000 period) to more than Rmb 800 million (for the 2001-2005 period). More recently, policymakers have now targeted hydrogen commercialization for the 2010-2020 period. (GEF ID 445, p. 17)

 

Another example is: “About 65 percent of [Indian] small Hydro electromechanical Equipment is sourced locally” (GEF ID 386; GEF IEO, , Vol.2, p. 76). The terminal evaluation of a global IFC project stated that “Moser Baer is setting up 30 MW solar power plants with the success of the 5 MW project. Many private sector players have also emulated the success of the Moser Baer project by taking advantage of JNNSM scheme” (GEF ID 112, p. 3).

Local Ownership and Partnerships

The Russian Market Transformation for EE Buildings project (GEF ID 3593) showed in its recommendation to governmental stakeholders that their ownership would be essential for sustainability, describing “a suitable governmental institution to take over the ownership over the project web site along with the peer-to-peer network ensuring the sustainability of the tools [to] support the sustainability of the project results after the project completion” (p. xi). An Indian project (GEF ID 386) noted how partnerships could sustain outcomes:

By 2001, 16 small hydro equipment manufacturers, including international joint ventures (compared to 10 inactive firms in 1991) were operational. . . . State government came up with policies with financial incentives and other promotional packages such as help in land acquisition, getting clearances, etc. These profitable demonstrated projects attracted private sector and NGOs to set up similar projects. (GEF IEO, , Vol. 2, p. 74)

Capacity Building

The Renewable Energy for Agriculture project in Mexico (GEF ID 643) established the “percentage of direct beneficiaries surveyed who learned of the equipment through FIRCO’s promotional activities” (86%), “number of replica renewable energy systems installed” (847 documented replicas), and “total number of technicians and extensionists trained in renewable energy technologies” (p. 33). This came to 3022, or 121% of the original goal of 2500, which provides a good measure of how the project exceeded this objective.

Emerging Sustainability

Recent post project evaluations also address what emerged after the project that was unrelated to the existing theory of change. These emerging findings are rarely documented in terminal evaluations, but some projects in the first pool included information about unanticipated activities or outcomes at terminal evaluation, and these could be used for future post project fieldwork follow-up. As a consequence of the hydroelectric resource project, for example, the Indian Institute “developed and patented the designs for water mills” (GEF ID 386; GEF IEO, , Vol. 2, p. 73). The terminal evaluation for another project stated that “following the UNDP-GEF project, the MNRE [Ministry of New and Renewable Energy] initiated its own programs on energy recovery from waste. Under these programs, the ministry has assisted 14 projects with subsidies of US$ 2.72 million” (GEF ID 370; GEF IEO, , Vol. 2, p. 62).

Benchmarks, Risks, and Resilience

As the GEF’s 2019 report itself noted, “The GEF could strengthen its approach to assessing sustainability further by explicitly addressing resilience” (GEF IEO, , p. 33). Not doing so is a risk, as our climate changes. Two evaluations noted “no information on environmental risks to project sustainability;” these were the Jamaican pilot on Removal of Barriers to Energy Efficiency and Energy Conservation (GEF ID 64; p. 68) and a Pacific regional project (GEF ID 1058). For likelihood of sustainability, the Jamaican project was rated moderately unlikely and the Pacific Islands project was rated likely but “does not provide overall ratings for outcomes, risks to sustainability, and M&E” other than asserting that

the follow-up project, which has been approved by the GEF, will ensure that the recommendations entailed in the documents prepared as part of this project are carried out. Thus, financial risks to the benefits coming out of the project are low. (p. 3)

Greenhouse Gas Emissions (Impacts)

In GEF projects, timeframe is an important issue, which makes post project field verification that much more important. As the GEF IEO stated in 2018, “Many environmental results take more than a decade to manifest. Also, many environmental results of GEF projects may be contingent on future actions by other actors.” (GEF IEO, , p. 34).

Uncertainty and Likelihood Estimates

Estimating the likelihood of sustainability of greenhouse gas emissions at terminal evaluation raises another challenge: the relatively high level of uncertainty concerning the achievement of project impacts related to GHG reduction. GHG reductions are the primary objective stated in the climate change focal area, and they appear as a higher level impact across projects regardless of the terminology used. For a global project on bus rapid transit and nonmotorized transport, the objective was to “reduce GHG emissions for transportation sector globally” (GEF ID 1917, p. 9). For a national project on building sector energy efficiency, the project goal was “the reduction in the annual growth rate of GHG emissions from the Malaysia buildings sector” (GEF ID 3598; Aldover & Tiong, , p. i). For a land management project in Mexico, the project objective was to “mitigate climate change in the agricultural units selected . . . including the reduction of emissions by deforestation and the increase of carbon sequestration potential” (GEF ID 4149, p. 21). For a national project to phase out ozone-depleting substances, the project objective was to “reduce greenhouse gas emissions associated with industrial RAC (refrigeration and air conditioning) facilities in The Gambia” (GEF ID 5466, p. vii). Clearly, actual outcomes in GHG emissions need to be considered in any assessment of the likelihood of sustainability of outcomes.

 

Unlike projects in the carbon finance market, GEF projects estimate emissions for a project period that usually exceeds the duration of the GEF intervention. In most cases, ex-ante estimated GHG reductions in the post project period are larger than estimated GHG reductions during the project lifetime. In practice, this means that for projects for which the majority of emissions will occur after the terminal evaluation, evaluators are being asked to estimate the likelihood that benefits will not only continue, but will increase due to replication, market transformation, or changes in the technology or enabling environment. Table 4 provides several examples from the GEF 2019 cohort of how GHG reductions may be distributed over the project lifecycle.

 

Table 4: Distribution of Estimated GHG Reductions Ex-Ante for Selected Projects in the CCM Subset of the GEF 2019 Cohort

GEF ID

Country

Sub-Sector

Ex-ante GHG reduction estimates

% of reductions achieved by the terminal evaluation

During project lifetime (tCO2e)

Total reductions (tCO2e)

2941

Brazil

EE Buildings

705,000

9,588,000

7

2951

China

EE Financing

5,400,000

111,500,000

5

3216

Russia

EE Standards / Labels

7,820,000

123,600,000

6

3555

India

EE Buildings

454,000

5,970,000

8

3593

Russia

EE Industry

0

3,800,000

0

3598

Malaysia

EE Buildings

2,002,000

18,166,000

11

3755

Vietnam

EE Lighting

2,302,000

5,268,000

44

3771

Philippines

EE Industry

560,000

560,000

100

Sources: 2941 Project Document, pp. 35–37; 2951 PAD/CEO Endorsement Request, p. 88; 3216 Project Document, pp. 80–90; 3555 Terminal Evaluation; 3593 Terminal Evaluation, p. 23; 3598 Terminal Evaluation, p. 24; 3755 GEF CEO Endorsement Request; 3771 Terminal Evaluation pp. 8–9

 

The range in Table 4 shows the substantial variation in uncertainty when estimating the likelihood of long-term project impacts. For projects designed to achieve all of their emission reductions during their operational lifetimes, the achievement of GHG reductions can be verified as a part of the terminal evaluation. However, most projects assume that nearly all estimated GHG reductions will occur in the post project period, so uncertainty levels are much higher and estimates may be more difficult to compile. In other evaluations, evaluators may identify inconsistent GHG estimates (e.g., GEF ID 4157 and 5157), or recommend that the ex-ante estimates be downsized (e.g., GEF ID 3922, 4008, and 4160). These trends may also be difficult to capture in likelihood estimates.

Conclusions and Recommendations

While sustainability has been estimated in nearly all of the projects in the two pools we considered, it has not been measured. Assessing the relationship between projected sustainability and actual post project outcomes was not possible due to insufficient data. Further, findings from the first pool of climate change mitigation projects did not support the conclusion that “outcomes of most of the GEF projects are sustained during the postcompletion period” (GEF IEO, , p. 17). In the absence of sufficient information regarding project sustainability, determining post project GHG emission reductions is not possible, because these are dependent on the continuation of project benefits following project closure.

 

We also conclude that although the 4-point rating scale is a common tool for estimating the likelihood of sustainability, the measure itself has not been evaluated for reliability or validity. The scale is often used to summarize diverse trends in the midst of varying levels of uncertainty limits. The infrequency of the unlikely rating in terminal evaluations may result from this limitation—evaluators believe that some benefits (greater than 0%) will continue. However, the 4-point scale cannot convey an estimate of what percentage of benefits will continue. Furthermore, the use of market studies to assess sustainability is not effective in the absence of attributional analysis linking results to the projects that ostensibly caused change.

 

As a result, the current evaluator’s toolkit still does not provide a robust means of estimating post project sustainability and is not suitable as a basis for postcompletion claims. That said, M&E practices in the CCM projects we studied supported the collection of information that documented conditions (e.g., resources, partnerships, capacities, etc.) in a way that projects could be evaluable, or suitable for post project evaluation. We recommend that donors provide financial and administrative support for project data repositories to retain data in-country at terminal evaluation for post project return and country-level learning, and include evaluability (control groups, sampling sizes, and sites selected by evaluability criteria) in the assessment of project design. We also recommend sampling immediately from the 56 CCM projects in the two sets of projects that have been closed at least 2 years.

 

Donors’ allocation of sufficient resources for CCM project evaluations would allow verification of actual long-term, post project sustainability using the OECD DAC () definition of “the continuation of benefits from a development intervention after major development assistance has been completed” (p. 12). It would also enable evaluators to consider enumerating project components that are sustained rather than using an either/or designation (sustained/not sustained). Evaluation terms of reference should clarify the methods used for contribution vs. attribution claims, and they should consider decoupling estimates of direct and indirect impacts, which are difficult to measure meaningfully in a single measure. For the GEF portfolio specifically, the development of a postcompletion verification approach could be expanded from the biodiversity focal area to the climate change focal area (GEF IEO, ), and lessons could also be learned from the Adaptation Fund’s () commissioned work on post project evaluations. Bilateral donors such as JICA have developed rating scales for post project evaluations that assess impact in a way that captures both direct and indirect outcomes (JICA, ).

 

Developing country parties to the Paris Agreement have committed to providing “a clear understanding of climate change action” in their countries under Article 13 of the agreement (United Nations, ), and donors have a clear imperative to press for continued improvement in reporting on CCM project impacts and using lessons learned to inform future support.

Footnotes

  1. 1.

    We use the term “postproject” evaluations to distinguish these longer term evaluations from terminal evaluations, which typically occur within 3 months of the end of donor funding. While some donors (JICA, ; USAID, ) use the term “ex-post evaluation” to refer to evaluations distinct from the terminal/final evaluation and occurring 1 year or more after project closure, other donors use the terms “terminal evaluation” and “ex-post evaluation” synonymously. Other terms include postcompletion, post-closure, and long-term impact.

  2. 2.

    In a  meta-evaluation, Hageboeck et al. found that only 8% of projects in the 2009–2012 USAID PPL/LER evaluation portfolio (26 of 315) were evaluated post-project following the termination of USAID funding.

  3. 3.

    Page numbers provided with GEF ID numbers only refer to project terminal evaluations; see Appendix.

References

  1. Adaptation Fund. (2019). Report of the Adaptation Fund Board, note by the chair of the Adaptation Fund Board – Addendum. AFB/B.34–35/3. Draft – 8 November 2019. https://www.adaptation-fund.org/document/report-of-the-adaptation-fund-board-note-by-the-chair-of-the-adaptation-fund-board-addendum/
  2. Aldover, R. Z., & Tiong, T. C. (2017). UNDP/GEF project PIMS 3598: Building sector energy efficiency project (BSEEP): Terminal evaluation report. Global Environment Facility and United Nations Development Programme. https://erc.undp.org/evaluation/evaluations/detail/8919
  3. Asian Development Bank. (2010). Post-completion sustainability of Asian Development Bank-assisted projects. https://www.adb.org/documents/post-completion-sustainability-asian-development-bank-assisted-projects
  4. Cekan, J. (2015, March 13). When funders move on. Stanford Social Innovation Review. https://ssir.org/articles/entry/when_funders_move_on#
  5. Cekan, J., Zivetz, L., & Rogers, P. (2016). Sustained and emerging impacts evaluation. Better Evaluation. https://www.betterevaluation.org/en/themes/SEIE
  6. Duval, R. (2008). A taxonomy of instruments to reduce greenhouse gas emissions and their interactions. Organisation for Economic Co-operation and Development.  https://doi.org/10.1787/236846121450.CrossRefGoogle Scholar
  7. Global Environment Facility. (2017). Guidelines for GEF agencies in conducting terminal evaluation for full-sized projects. https://www.gefieo.org/evaluations/guidelines-gef-agencies-conducting-terminal-evaluation-full-sized-projects
  8. Global Environment Facility Evaluation Office. (2008). Evaluation of the catalytic role of the GEFhttps://www.gefieo.org/sites/default/files/ieo/ieo-documents/gef-catalytic-role-qualitative-analysis-project-documents.pdf
  9. Global Environment Facility Independent Evaluation Office. (2010). GEF monitoring and evaluation policyhttps://www.gefieo.org/sites/default/files/ieo/evaluations/gef-me-policy-2010-eng.pdf
  10. Global Environment Facility Independent Evaluation Office. (2012). Approach paper: Impact evaluation of the GEF support to CCM: Transforming markets in major emerging economies. https://www.gefieo.org/sites/default/files/ieo/ieo-documents/ie-ccm-markets-emerging-economies.pdf
  11. Global Environment Facility Independent Evaluation Office. (2013). Country portfolio evaluation (CPE) India. http://www.gefieo.org/evaluations/country-portfolio-evaluation-cpe-india
  12. Global Environment Facility Independent Evaluation Office. (2017). Climate change focal area study. https://www.thegef.org/council-meeting-documents/climate-change-focal-area-study
  13. Global Environment Facility Independent Evaluation Office. (2018). Sixth overall performance study of the GEF: The GEF in the changing environmental finance landscape. https://www.thegef.org/sites/default/files/council-meeting-documents/GEF.A6.07_OPS6_0.pdf
  14. Global Environment Facility Independent Evaluation Office. (2019a). Annual Performance Report 2017https://www.gefieo.org/evaluations/annual-performance-report-apr-2017
  15. Global Environment Facility Independent Evaluation Office. (2019b). A methodological approach for post-project completionhttps://www.gefieo.org/council-documents/methodological-approach-post-completion-verification
  16. Global Environment Facility Independent Evaluation Office. (2020). Annual performance report 2019https://www.gefieo.org/evaluations/annual-performance-report-apr-2019
  17. Hageboeck, M., Frumkin, M., & Monschein S. (2013). Meta-evaluation of quality and coverage of USAID evaluations. USAID. https://www.usaid.gov/evaluation/meta-evaluation-quality-and-coverage
  18. Japan International Cooperation Agency. (2004). Issues in ex-ante and ex-post evaluation. In JICA Guideline for Project Evaluation: Practical Methods for Project Evaluation (pp. 115–197). https://www.jica.go.jp/english/our_work/evaluation/tech_and_grant/guides/pdf/guideline01-01.pdf
  19. Japan International Cooperation Agency. (2017). Ex-post evaluation results. In JICA annual evaluation report 2017 (Part II, pp. 1–34). https://www.jica.go.jp/english/our_work/evaluation/reports/2017/c8h0vm0000d2h2gq-att/part2_2017_a4.pdf
  20. Japan International Cooperation Agency. (2020a). Ex-post evaluation (technical cooperation). https://www.jica.go.jp/english/our_work/evaluation/tech_and_grant/project/ex_post/index.html
  21. Japan International Cooperation Agency. (2020b). Ex-post evaluation (ODA loan). https://www.jica.go.jp/english/our_work/evaluation/oda_loan/post/index.html
  22. Legro, S. (2010, June 9–10). Evaluating energy savings and estimated greenhouse gas emissions in six projects in the CIS: A comparison between initial estimates and assessed performance [paper presentation]. International Energy Program Evaluation Conference, Paris, France. https://energy-evaluation.org/wp-content/uploads/2019/06/2010-paris-027-susan-legro.pdf
  23. Mayne, J. (2001). Assessing attribution through contribution analysis: Using performance measures sensibly. The Canadian Journal of Program Evaluation, 16(1), 1–24.Google Scholar
  24. OECD/DAC Network on Development Evaluation. (2019). Better criteria for better evaluation: Revised evaluation criteria definitions and principles for use. Organisation for Economic Co-operation and Development. http://www.oecd.org/dac/evaluation/revised-evaluation-criteria-dec-2019.pdf
  25. Organisation for Economic Co-operation and Development. (2015). OECD and post-2015 reflections. Element 4, Paper 1: Environmental Sustainabilityhttps://www.oecd.org/dac/environment-development/FINAL%20POST-2015%20global%20and%20local%20environmental%20sustainability.pdf
  26. Organisation for Economic Co-operation and Development, Development Assistance Committee. (1991). DAC criteria for evaluating development assistance. https://www.oecd.org/dac/evaluation/2755284.pdf
  27. Rogers, B. L., & Coates, J. (2015). Sustaining development: A synthesis of results from a four-country study of sustainability and exit strategies among development food assistance projects. FANTA III, Tufts University, & USAID. https://www.fantaproject.org/research/exit-strategies-ffp
  28. Sridharam, S., & Nakaima, A. (2019). Till time (and poor planning) do us part: Programs as dynamic systems—Incorporating planning of sustainability into theories of change. The Canadian Journal of Program Evaluation. https://evaluationcanada.ca/system/files/cjpe-entries/33-3-pre005.pdf
  29. Uitto, J., Puri, J., & van den Berg, R. (2017). Evaluating climate change action for sustainable development. Global Environment Facility Independent Evaluation Office. https://www.gefieo.org/sites/default/files/ieo/documents/files/cc-action-for-sustainable-development_0.pdf
  30. United Nations. (2015, December 12). Paris agreementhttps://unfccc.int/sites/default/files/english_paris_agreement.pdf
  31. United States Agency for International Development. (2018). Project evaluation overview. https://www.usaid.gov/project-starter/program-cycle/project-design/project-evaluation-overview
  32. United States Agency for International Development. (2019). USAID’s impact: Ex-post evaluation serieshttps://www.globalwaters.org/resources/ExPostEvaluations
  33. Valuing Voices. (2020). Catalysts for ex-post learninghttps://valuingvoices.com/catalysts-2/
  34. Zivetz, L., Cekan, J., & Robbins, K. (2017a). Building the evidence base for post project evaluation: A report to the faster forward fund. Valuing Voices. https://valuingvoices.com/wp-content/uploads/2013/11/The-case-for-post-project-evaluation-Valuing-Voices-Final-2017.pdf
  35. Zivetz, L., Cekan, J., & Robbins, K. (2017b). Checklists for sustainability. Valuing Voices. https://valuingvoices.com/wp-content/uploads/2017/08/Valuing-Voices-Checklists.pdf

Copyright information

 

© The Author(s) 2022

Open AccessThis chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite: Cekan J., Legro S. (2022) Can We Assume Sustained Impact? Verifying the Sustainability of Climate Change Mitigation Results. In: Uitto J.I., Batra G. (eds) Transformational Change for People and the Planet. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-78853-7_8

 

Follow our path on Ex-Post Sustainability and Resilience Seasonal Joy

Follow our path on Ex-Post Sustainability and Resilience Seasonal Joy

Rarely do we get to teach, innovate, learn, and expand a hidden corner of one’s field. This is what is I am experiencing, and the Fund is sharing. Here is the Adaptation Fund’s ex-post project evaluation of sustainability and resilience path and progress in 2021.

 

I am quoting liberally and highlighting our work from the Adaptation Fund’s website where their commitment to learning from what lasts is clear. “Ex post evaluations are a key element of the AF-TERG FY21-FY23 strategy and work programme, originating from the request of the Adaptation Fund Board to develop post-implementation learning for Fund projects and programmes and provide accountability of results financed by the Fund. They intend to evaluate aspects of both sustainability of outcomes and climate resilience, and over time feed into ex-post-evaluation-informed adjustments within the Fund’s Monitoring Evaluation and Learning (MEL) processes.”

 

How are we defining sustainability’s path to evaluate it? Here is a flowchart from our training:

 

There are four phases from 0 to 3:
Phase 0 Foundational Review: Not only was this work preceded by months of background research on both evaluability of their young portfolio (e.g., under 20 of the 100 projects funded were closed at least three years, a selection criteria we had) and secondary research on evidence of ex-post sustainability evaluation in climate change/ resilience across the Adaptation Fund’s sectors.

Phase 1 Framework and Pilots Shortlist: Our Phase 1 report from mid-2021 provided an overview of the first stage of ex-post evaluations, outlining methods and identifying a list of potential projects for ex-post evaluation pilots from the Fund’s 17 completed, evaluated projects. The framework presented in the report introduced possible methods to evaluate the sustainability of project outcomes, considering the characteristics, strengths, and weaknesses of the Fund portfolio. It also presents an analysis tool to assess climate resilience, bearing in mind that this area is pivotal to climate change adaptation yet has rarely been measured.

 

 

 

 

 

 

 

 

The Phase one report on ex post project sustainability evaluation

Vetting and pilot selection, revised design for evaluating sustained outcomes related to resilience to climate change. Key aspects are: 1) Timing (3-5 years since closure or projects at least 4 years long within the last 5 years and seasonality matches the final evaluation) and 2) Good quality of implementation and M&E with measurable outputs and outcomes traceable to impact(s) and 3) Safety to do fieldwork re: Covid, civil peace, etc.

 

 

We (my so-clever colleagues Meg Spearman and Dennis Bours) introduced a new resilience analysis tool that includes consideration of the climate disturbances, the human and natural systems (and their nexus) affected by and affecting project outcomes. This includes five characteristics of resilience in the outcomes (presence of feedback loops, at scale, plus being diverse, dynamic, and redundant) and means/actions to support outcomes. Resilience can be identified via a clear summary of the structures (S) and functions (F) that typify Resistance, Resilience and Transformation showing where a project is and is moving towards. It is a typology of resistance-resilience-transformation (RRT) onto which the overall project can be mapped based on how actions are designed to maintain or change existing structures and functions. That was integrated into the Adaptation Fund resilience evaluation approach.

 

 

Phase 2 Methods Testing and Ex-post Field-testing: Training of national evaluators and piloting two ex-post evaluations per year includes selecting among these methods to evaluate sustainability ex-post plus the RRT and resilience measures above. In the first ex-post in Samoa’s “Enhancing Resilience of Samoa’s Coastal Communities to Climate Change” (UNDP) happening December 21, it is through qualitative evaluation of wall-infrastructure. The second, Ecuador’s “Enhancing resilience of communities to the adverse effects of climate change on food security, in Pichincha Province and the Jubones River basin “(WFP) has training completed and fieldwork should be from January 22, likely be of food security assets and methods TBD.

 

Phase 3 Evaluations continue, with MEL Capacity Building: Two more years of ex-post pilot evaluations (2 per year) with lesson informing integration into the MEL of the Adaptation Fund. We are already finding out lessons of rigor, of knowledge management, of unexpected benefits of returning years after closure, including indications of sustainability and resilience of the assets, with much more learning to come.

Innovations include “the relative novelty of climate change adaptation portfolios and the limited body of work on ex post evaluation for adaptation, it presents possible methods that will be piloted in field-tested ex post evaluations in fiscal year 2022 (FY22).” This includes piloting shockingly rare evaluation of oft-promised resilience. In the update to AF’s Board three months ago, it transparently outlined shortlisting of five completed projects as potential candidates for the pilots, of which two projects were selected for ex post evaluations. It outlined our process of co-creating the evaluation with national partners to prioritize their learning needs while building national capacity to assess sustainability and resilience of project outcomes in the field onward.

 

Also, training materials for ex post pilots are being shared to foster country and industry learning, focusing on evaluating projects at ex-post and emerging sustainability and resilience, as well as presenting and adapting methods to country and project realities.

 

 

 

 

 

 

 

The training material for ex-post pilots

 

The training had three sessions (which could not have happened without colleague Caroline’s expertise):

  • Part A: Understanding ex-post & resilience evaluations. Introduce and understand ex-post evaluations of sustainability and resilience, especially in the field of climate change adaptation
  • Part B: Discussing country-specific outcome priorities and co-creating learning with stakeholders. Discuss the project and its data more in-depth to understand and select what outcome(s) will be evaluated at ex-post
  • Part C: Developing country-specific methods and approaches. Discuss range of methods with the national evaluator and M&E experts to best evaluate the selected outcome(s) and impact(s)

 

Overall progress can be seen in the document updating the AF’s board: A progress update on ex post evaluations (AFB/EFC.28/Inf.4)

 

So in 2018 I Wished for Sustained Outcomes to be explored and in 2019 I Wished again for more Ex-post Evaluation than Needles in Haystacks. In  2021 some of these wishes are becoming fulfilled!  Seasonal Happiness for me is learning about resilience to climate change, diminished vulnerability and searching for proof of sustainability and emerging outcomes and impact(s) and I am grateful to the Adaptation Fund for its commitment to sustainability.

Accompany us on this path, cheer us on, and do your own ex-post sustainability and resilience evaluations! Happy holidays from the Czech Republic!

Aid providers: More puzzle pieces, including unexpected outcomes; ours is not the whole picture

Aid providers: More puzzle pieces, including unexpected outcomes; ours is not the whole picture

When we did our first ex-post evaluation/ delayed final evaluation in 2006 in Niger for Lutheran World Relief (LWR) funded by the Bill & Melinda Gates Foundation (pg75 on), we found all sorts of unexpected/ unintended outcomes and impacts that far outweighed the original aid’s expectations. The project measured success by the livelihoods rebuilding post-drought ravaged sheep herds and water points for them. Instead, while the LWR aid was beautifully based on ‘habbanaye,’ a pastoralist practice of lending or giving small-stock offspring to poorer family members (and was expanded to passing on animals to poorer community members), and results showed a majority of the poor benefitted, our respondents showed it was far more nuanced. We aid providers (and our expectations) are only a part of any ‘impact’, which needs to be defined by the communities themselves:

  • While many families benefitted from the sheep, enabling some young boys to shepherd several at a time, it turns out the poorest chosen by the communities were not necessarily ones who lost small livestock during the drought but were, in fact, the ultra-poor who had never had them. Therefore, proof of successful ‘restocking’ post-drought left these poor who were helped the most, out, as they were… unexpected;
  • Holding onto the donated sheep was not as important an indicator for some: one woman told us that selling her aid-received sheep to buy her daughter dowry to marry a wealthier husband was a far better investment for their financial future than the sheep would have been. Our main measure of success was not nuanced enough;
  • The provision of water through well-rehabilitation and building in the five villages was a vital resource. Women reported they saved 8 hours every two days by having potable water in their villages. Before then, they spent three hours walking each way to the far-off well and waited two hours to fetch 50l water, which they head-carried back. With the well in place, they generated household income through weaving mats, cooking food for sale, etc., which amounted to as much as 20% of increased household income – a boon! Also, having both time and water access enabled them to bathe themselves and their children, make their husbands lunch, and make their mothers-in-law tea, which led to far more household harmony. No ‘impact’ measures outside of livestock and water were included or could be added;
  • Finally, the resulting show-stopper: in the last village where we interviewed women participants, they said that the groups of fellow recipients were a boon for community solidarity across ethnic groups. In their meetings, thanks to the sheep, water, and collective moral support, they said the conversations turned from conflict to collaboration, and best of all, women reported, “our husbands don’t beat us anymore.” Peace among ethnic groups, within and between households was completely unexpected.

Such a highly unexpected outcome would fall under #2 and #4 of the Netherlands study below. Unfortunately, the Foundation seemed less interested in these unexpected but stellar results. Yet at the same time I have empathy for their position, as so many of us in global development want to help solve problems, and demand proof we have.…. so we can leave and help others, equally deserving. Taking complexity into account, seeing lives in a wider context where our aid can be helping differently or even harming makes garnering more aid hard.

As the brilliant Time to Listen series by CDA showed, aid intervenes in people’s lives in complex ways and we need to listen to our participants and partners who always share more complex views than our reports can honor..A few  of hundreds of quotes of 6000 interviews, this from the Solomon Islands:

Some appreciate the aid as it is given:

“People in my village are very grateful for the road because now with trucks coming into our village, the women can now take their vegetables to the market. Before, the tomatoes just rotted in the gardens. Tomatoes go bad quickly and despite our attempts in the past to take them to the market to sell, we always lost.” Woman from East Malaita

But for others there are great caveats:

“Donors should send their officers to Solomon Islands to implement activities in urban and rural areas. This will help them understand the difficulties we often face with people, environment, culture, geography, etc. ‘no expectem evri ting bae stret’ [Don’t expect everything to go right].” Man, Honiara

“They have their own charters, sometimes we might want to go another way but they don’t want to touch that. So sometimes there is some conflict there; some projects are not really what we would like to address – because the donors only want to do one component, and not another, because it is sensitive, or because they want quick results and to get out.” Government official, Honiara

“What changes have I noticed since independence? Whatever development you see here is due to individual struggles. No single aid program is sustainable. NGOs are created by donors and are comfortable with who they know. NGOs eat up the bulk of help intended for the communities. NGOs become international employers. They do their own thing in our province. Most projects have no impact. I want to say stop all aid except for education and health. If international assistance concentrates on quality education and health, the educated and healthy people will take care of themselves.” Government official, Auki, Malaita

“The most important impacts of aid people do not think about – they are not listed, not planned, they are remote, but these are the longest lasting. Often they are the opposite of the stated objectives. So remote, unintended, unexpected impacts are very often more important and more lasting and more dramatic than the short term intended, measured ones.” Aid consultant, Honiara

How widespread is our myopic focus on our intended results? A recent Netherlands Foreign Aid IOB study found unintended effects were an evaluator’s blindspot as across 664 evaluations over 20 years, “The ‘text miners’ found that only 1 in 6 IOB evaluation documents pay attention to unintended effects.” This dearth of attention to all the other things happening in projects led to 10 micro, macro, meso, and multiple level effects, from negative price effects such as food aid on local food producers or nationalist backlash to Afghan projects to positive effects (they found 40% of projects had this) such as a harbor built happening to expand beach tourism as well. 

But if we don’t look for such effects, we don’t know the true impact of our aid programming. We also don’t honor the breadth of people’s lives rather than just as narrow ‘aid beneficiaries’ (ugh), not even honoring them with the terms’ participants’ much less ‘partners’ in their own development).

In our ex-post work, we find a wide array of ways ownership and implementation of activities is done after donors leave and without additional or with different resources, capacities, and partnerships. Taking emerging outcomes and impacts examples from a different Niger project, and one from Nepal:

1. Partnerships Ownership: Half of the members of the all-women Village Banks reported helping one another deal with domestic disputes and violence. (Pact/Nepal)

2. Capacities: Trained local women charged rates to sell course materials onward (PACT/Nepal)

3. OwnershipParticipants valued clinic-based birthing and sustained it by introducing locally-created social punishments and incentives (CRS/Niger)

4. Resources: New Ministry funding reallocated to sustain [health] investments, and private traders generated large crop purchases and contracts (CRS/Niger)

The assets and capacities we bring to help people and their country systems help only a sliver of their lives, and often in unexpected ways that sadly we aid donors and implementers don’t seem interested in.  There are other puzzle pieces to add…

Let us not forget, as a Sustainable Development Goals Evaluation colleague said in 2017 on a call:

I am sure you, my dear colleagues, have reams of similar findings from your fieldwork. Please share yours!

Valuing Voices Better Ex-Post Evaluation White Paper: Nordics & the Netherlands

Donors often talk about #SustainableDevelopment, and we know they try. But do they return #expost to #evaluate it? Here are lessons from #Nordic (#Norway#Finland#Sweden & #Denmark) and the #Netherlands in our #ValuingVoices #WhitePapers. Let us know what you think… Thanks, Jindra & Preston Stewart..

The document(s) cover:
1) the search process,
2) how ex-post evaluations are defined and categorized,
3) what was done well by each country’s ex-posts,
4) sustainability-related findings and lessons, and
5) what M&E experts in each country can improve on ex-post evaluation practices.
6) Case studies of the Netherlands, Norway, and Finland
One big finding is that there were only 32 evaluations that seemed to be ex-post project, and only 16 of them actually were at least 2 years after project closure.

Executive Summary/ Abstract of the set of White Papers

Ex-post completion or ex-post project evaluations are surprisingly rare given widespread commitments to ‘sustainable development’. Given the well-known commitment of the Nordic countries of Norway, Finland, Sweden, and Denmark as well as the Netherlands, Valuing Voices, a consulting firm specializing in ex-post project evaluation, chose these countries as case studies. We hired an intern from Harvard College, who searched the national databases (in English only) and presented these results. The findings were surprising. There were far fewer ex-posts in total than expected. Those that were included a surprising number that was co-evaluated alongside final evaluations, although final evaluation illuminates relevance, effectiveness, efficiency (and the new OECD criteria of coherence), while ex-post project evaluation illuminates sustainability and impact two or more years after closure.  There were lessons for Ministries about the searchability as well as the quality (and in the case of Denmark and in part, Sweden), the dearth of ex-posts at all. Overall, the recommendations for the five countries researched for this paper include better and more standardized definitions of ex-post project, greater absolute numbers done, transparent sharing of those done in publicly searchable manners,  methodologically clear comparisons (baseline and midterm), and clarity in differentiating different evaluations.

 

There are caveats to these papers. This research was privately by Valuing Voices so the samples featured from the five countries were limited to public sources about ex-post and ex-post evaluations.  While we reached out to Ministry evaluative staff in all countries, only two made themselves available for consultation (the Netherlands and Finland) and provided a handful of additional ex-post evaluations.  This paper focuses on what such research yielded, not definitive findings of programs or multi-year country strategies that are funded for 20-30 years continuously, nor projects funded by country-level embassies which did not feature on the Ministry site. We focus on project bilateral project evaluations, not multilateral funding of sectors. We also presented these findings in a 2021 webinar, during which we received input that Sweden’s EBA has a (non-project) portfolio of ‘country evaluations’ which looked back over 10 or even 20-year time horizons.. Still, we found very few ex-post evaluations at EBA (see cite in Search, below).  No input was received by Norway or Denmark.

 

There are four papers in this series combined in this White Paper. First, the search across databases of all five Nordics (Norway, Finland, Sweden, and Denmark) and the Netherlands (pages 1-21). This is followed by country-specific, detailed, papers for those with ex-posts: The Netherlands (pages 22-37), Norway (pages 38-47), and Finland (pages 48-59).  We look forward to your feedback. Jindra@ValuingVoices.com for the Valuing Voices team.

Let us know what you think… Thanks, Jindra & Preston Stewart

Who is accountable for the ‘sustained development’ of those who suffer, and for how long? US/Czech and Kenyan Views

Who is accountable for the ‘sustained development’ of those who suffer, and for how long?

 

Some of the rarely discussed myths of ‘sustainable development is that the aid we donors and implementers bring will help everyone, and that recipient governments can take over once donors leave and that what we left when the project ended was sustainable. The fact that our ‘global development aid’ helps a small fraction of all those who have equally ‘worthy’ needs in the countries we target is unspoken, as is the fact that these projects aren’t often built to sustainably withstand shocks such as climate changes bearing down now.  As evaluator Michael Quinn Patton writes, “Effective programs… create islands of protected effectiveness in a sea of need and suffering… [we must] assess sustainability over time for Adaptive Resilience.”[1]

 

More often, countries need to be: a) so poor, b) so ‘fragile’, or c) so geopolitically important to warrant our aid. The fact that most USAID and EU bilateral funding (not necessarily multilateral funding to IMF, World Bank, African or Asian or other Development Banks) is focused on fragile/ war-torn or the strategically important countries edges out what is left for the impoverished people of the world. Most of our taxpayers have little idea of this and believe it is needs-based. So, many of us assume that: d) our mostly short-term aid is either only the brief support that they need (the ‘shot in the arm school’) as might be true of emergency or humanitarian aid post-emergencies or e) the results will be so excellent as to spontaneously spread (scale) ‘forever’ that no more aid will be needed or f) that national governments – not donors- need to carry the accountability for sustained improvements forward. Yet those stakeholders in poor or fragile countries (governments, non-profit NGOs) often have the weakest capacities to sustain results. Rutere Kagendo, a fellow Kenyan on the Valuing Voices team, wrote a moving blog about who ends up tasked with sustaining project activities and results: communities, especially women.

 

This is in spite of the fact that ex-post project evaluations done 1+ to 30 years after completion who asked participants and partners about sustainability, show ‘mixed’ results, namely that results fall off as early as 2 years after closure, by between 10-100%. Rarely do ex-posts have results improve or be as sustained as we assume. Some project activities do show somewhat lasting results, ranging from those that provide credit to those generating agriculture. Mostly lackluster results are because global development projects aim for success by closure over sustainability over decades by exiting better with accountability to our participants and partners over time. We do not design what can be locally sustained. Imagine how much would be saved if we did!

 

Jindra Čekan/ova of the USA/ Czech Republic and Peter Kimeu of Kenya offer our perspectives about who is accountable for aid, and for how long.

 

Jindra

 

I have worked for international NGOs (e.g. Catholic Relief Services, the international division of the American Red Cross, large INGOs such as CARE, World Vision, Lutheran World Relief, and others), including bilaterals (USAID) and foundations (the Bill & Melinda Gates Foundation, Aga Khan Foundation) for over 30 years. Most of our projects strove to fulfill objectives of the grants and were successful. Yet rarely did we ask ‘for how long?’ At one point, I worked for a huge International NGO with a program that had been feeding 50,000 West African children breakfast for 30 years. This was part of a bilateral aid education support + ‘safety net’ program. Many studies, including this terrific one from the UN’s World Food Program, show that such school feeding improves “school participation (enrolment, attendance, completion) and learning (scores on cognitive, language and mathematics tests)… [and] decrease child marriages, etc.“

Clearly, they do good. Yet the donor suddenly wanted proof that the effects of this long-term aid had improved national GDP rather than just the nutritional and learning outcomes of assisted individuals, otherwise, the project would be canceled. Letters from the impoverished country– including the country’s president and cabinet -stating they themselves had benefitted from the program which in turn led them to great educational outcomes and leadership had some effect. Yet without lobbying from the donor country’s agriculture and food aid industry that cutting food aid exports would harm them, it would have been canceled. Did they care about the schoolchildren’s learning or only providing outlets to US agricultural surplus producers? Was 30 years too long to keep helping? How do we have these discussions as equal partners? As evaluator Zenda Offir notes regarding the SDG’s No One Left Behind“the burden of supporting and sustaining a majority of ‘leaving no-one behind’ efforts fall inevitably on many of the poorest (low-income) countries in the Global South. The problem is that they cannot afford it, nor can they sustain it. It will therefore be unfair to hold such countries accountable for ‘leaving no-one behind’ strategies. “

 

This brings up the questions of sustainability and accountability ‘to whom’ and ‘for how long’? You may have other questions, including ‘why’ and ‘how we know, which I look forward to addressing, but for now, these two are the focus of this blog. While 65% of Americans favor foreign aid, believing we spend up to 25% of our GDP abroad, the US spends just over 1%.  Most US aid goes to the fragile and geopolitically strategic: “More than two hundred countries receive U.S. aid. It disproportionately goes to a few, however, with the top five all receiving over $1 billion per year as of 2016: Iraq ($5.3 billion), Afghanistan ($5.1 billion), Israel ($3.1 billion), Egypt ($1.2 billion), and Jordan ($1.2 billion).” In Europe, only 3 countries met the OECD goal of giving 0.7% of GNI: Norway, Sweden, and Denmark while the Czech Republic was at 0.13%, just below the USA 0.16%(2019).  A fascinating measure of ‘commitment to development” (CDI) looking at the ‘quality of aid’ found that in the Czech Republic aid performance was very poor: “Adding up both quality-adjusted aid (95.7 million USD) and quality-adjusted charity induced by public policy (1.1 million USD), we arrive at 96.8 million USD for 2009 which amounts to 0.054% of GNI. Translating the percentage onto the standardised CDI scale the Czech Republic… [has] the third least favorable aid policy towards developing countries among DAC countries… [and] Aid allocation is not primarily focused on low-income countries” which is in part explained by the recent shift from aid recipient to aid donor (Syrovatka and Krylova 2012).  Even, worse now, donors and international NGOs distribute aid (especially what is left for the poor countries of the world) that is annually allocated, but as the pandemic has led more spending to be domestic, aid to the poorest has decreased among almost all donor countries, bad news as Covid-economic downturns continue and climate change ramps up.

 

Is there proof there is no more need for aid to places or people? We do not know as we return to evaluate the sustainability after projects close far less than 1% of the time. Mostly this is because we assume that the recipient governments have ‘taken over’, that there is funding from elsewhere, or that the communities and organizations helped have become as resilient as to keep up the good work themselves. Yet the ex-post evaluation data does not bear this out. Few such evaluations are done or done well and many assumptions of positive trajectories are unproven. Donors and INGOs want to help, must leave after money is spent, and assume the best. Local participants implement the projects but they do not design or lead their implementation, which limits continuation after donor support exits.

 

So who is accountable to the poor whom we help? Peter comments on that from the perspective of the CEO of a local Kenyan NGO targeting 15,000 farmers.

 

Peter

 

I have over forty years of experience in development; 8 years lead in Community Initiated (Harambee) High schools, 35 years with Catholic Relief Services in Emergency Relief, Sustainable Development and Justice and Peace Programs, and currently 6 years with the (Kenyan) county-devolved sustainable development. I am the Founder and CEO of Decent Living Institute of Organic Farming promoting avocado farming, aquaculture, and apiculture for improved decent livelihoods. My early life as a young boy makes me a living witness of a life in deep poverty, which the New York Times featured.

 

The question ‘who is accountable for sustained development’ and ‘for how long’ has an assumption that it is possible to attain sustainable development without the continued involvement of those who suffer. I don’t think so. Sustained development occurs as a process to a transformed situation from abject poverty, a condition of want without the capacity to satisfy even the most basic needs, a position of lacking continuously leading to untold suffering and living in dehumanized conditions for the sufferer and the generations to come to the desired decency of fulfilled living. Living as a pauper in my first 30 years of life, having been born in a paupers’ family, I accepted the conditions of poverty and hunger as a way of life. After all, you know nothing better and when you see wealth around you, it is meant for the lucky few, and not for you. The situation limits the poor to survival conditions, eating from hand to mouth and everything is left to luck.

 

Aid to the poor would make sense if it is used as a catalyst to motivate and enable the poor depart from the circle of poverty (the poor giving birth to more poor) and is able to sustain the conditions of being above the poverty line of US$2 a day. Such aid would enable them to have enough to take care of their daily basic needs and create wealth without falling back below the poverty line repeatedly, for generations to come. The impact measure for aid should therefore be participatory learning from and measuring the extent to which success is sustained documenting representative success stories by participants who have left the circle of poverty sustainably. Such would include ‘in the past I couldn’t to find enough to eat occasionally slept without food and now my family has no idea of how it feels like to be hungry.

 

Unfortunately, the manner of delivering aid is seen as pure luck by the targeted poor for it comes without involving the poor as to strategically plan long-term impact that they can sustain. The aid donors and implementing agencies will target a given county, while the identification of targeted community cluster location for aid will be influenced by either by powerful persons from the locality or larger numbers in the public participation, so those with greater authority or louder voice will take the day. The decision on who will participate in the project finally will be determined by the same criteria and not the poverty levels. One example is the aid fund for COVID-19 response in Kenya which was distributed to the well connected to persons of authority and not to those who championed the control of the coronavirus. A decision was made at the county governments to disperse one million Kenya shillings to every cluster of villages to pay the youth for engaging in communal work such as community road works, terracing a degraded land, or even constructing an earth dam and paid per piece work completed – termed employment -to cushion the youth who have lost job opportunities due to the COVID -19 effects. A million shillings in a cluster of ten villages would perhaps engage 100 young people for a week earning Kenya shillings 500 (US$5) a day or $30 a week. The rest of the money – 50% of the total or more – does not go for wages as planned but is used to cover the management of the program by the county officials. The youth will spend this money like it is good luck for it is too little to ever think of the future investments.

 

However, the same amount is what it costs to support a member of the self-help group and collective community-led development in our Decent Living NGO per family of a vulnerable child to grow a vegetable garden, keep six chicks and grow three Hass avocado seedlings. Further, the participants commit to support another poor family with six chicks in a years’ time. From the onset, the poor are involved in ‘planning in advance’ to help others. Their developing vision is guided by the long-term impact they hope for, such as the family economic boost that will cover the full cost of schooling, medical expenses, and family meals, clothing, and shelter for all the children including the most vulnerable. Other long-term indicators will be the percentage of poor families that are above the poverty line meeting the family basic needs sustainably.

 

I see the role of the aid donor as to holding the aid receiver (local government and recipient communities) to their goals of sustainable development and to account for the funds given by reaching their goals and targets that must be time-bound. The aid receivers are also responsible to account for their aid distribution to their intermediary implementing partners (often local non-profits/ NGOs) to meet their targets, goals and should track expected and measurable long-term outcomes within three years after the closure of the project. This means to deliver not only the aid funds but also through the funding the systems established or improved at the conception of the project should be accounted for during the project implementation period and will be impacting long term results transforming the community to the desired state long after the project activities.

It could be building sustainable infrastructure for long-term support to the poor. The sustained impact would then be numbers of poor that have transformed their poverty and created wealth through the developed infrastructure in an intergenerational, long-lasting way that could be measured in later years. Sadly, most of the aid givers do not see their role beyond the performance short-term outputs such as trainings given or outcomes leading to a change in farming practices, like the deliverables for the specific objectives in an agriculture project.  Hence the success of the project is defined by these short-term indicators that measure outputs such as the target number reached with food aid, or even some changes in practices leading to improved yields, but once the project ends, all tracking of results end. The national stakeholders are – or should be- responsible to demonstrate how the results of the project will be assumed by the community’s self-help groups so that the impacts become intergenerational. For it is vital to see that the project does not end with the implementing agencies. It is not only short-sighted by aid donors to believe that it ends, but national stakeholders are absconding their responsibility of accountability to the long-term impacts that are related to relationships and behavior change sustainably when they do not sustain them.

 

The UN’s ‘Sustainable Development Goals’ are merely a dream for most poor until the individual struggling with conditions of want is able to take steps towards permanent solutions for themselves and their future generations. It takes an oppressed dreamer (the poor with empty stomachs) who believes a change is possible to demand accountability. It also takes a progressive facilitator (donors and national stakeholders) who believes in creating enabling conditions for the oppressed to succeed. Both the oppressed dreamers (project participants, local implementing NGO agencies and the progressive facilitator (donor) are accountable to the transformed conditions. For the ‘sustained development’ to occur it must be intentionally dreamed of by all parties engaged in the process of development.

 

I dream of “a just world where everyone is fully a participant and celebrates sustainable development for all” wrote Pope Francis in his 2015 Laudato Si encyclical. He calls for all humanity to take care of our Mother Earth and in return, she will provide for all, including addressing issues of global warming. In my world dream, I see a time when a transformation of the sufferer from distressful and oppressive conditions of living is eased by putting future dreams into action, for those who suffer with deprivation today and are thirsty for change. I wish to make reference to a story told in the bible Jesus meeting a blind beggar (Mark 10:51) shouting to Jesus for help. Jesus asked the beggar to identify what type of aid he needed. And the blind beggar’s request for the power to see was heard and his sight was fully restored, emancipating him from the bondage of begging. We are told he transformed from a beggar into a disciple of Jesus. The transformation of conditions to sustainable options starts with the bilateral donor engaging a poor government to undertake a particular development agenda that in return facilitates its citizens to enjoy sustained development. The donor government should hold the recipient government responsible and accountable of delivering sustainable options for its citizen as per the grant agreements with evaluation two to three years after the project closure.

 

The poor who may be targeted with the aid may seem passive, not having been involved right from the beginning of design, and may have limitations of identifying what to ask for, perhaps those with intermediary implementing INGOs may be aware of how well what is being offered can meet their needs. Setting up the appropriate structures, they may dictate and demand sustained development options for themselves and those who are suppressed in poverty. The major issue is that most often the victims of poverty are never engaged in aid’s design and only implement what is offered. The situation creates room for corrupt national governments, INGOs, and NGOs to make quick money. The donors should hold recipient countries and INGOs accountable for tangible results toward the Sustainable Development Goals indicators for every grant in aid for as long as it takes, not just reporting at the national level.

 

I see a world where what matters most, is how engaged those who have empty stomachs are in the development aid agenda, and how the aid is administered and accounted for themselves and the neighboring suffering households. That development is all about a sustained transformation for empty stomachs of our project participants, their immediate neighbors, their children, their husbands, and their fathers/in law and mothers /in law, their brothers/ in law and sisters/ in law. It is about a better living standard of their neighbors who lends salt and water, the generosity of their firewood friends, those neighbors who will never turn down an opportunity to offer help no matter what. If these impacts and long term outcomes are not evaluated and accounted for, those who suffer poverty will always consider projects as myths of ‘sustainable development’ and the aid provided by bilateral, multilateral donors or through INGOs/NGOs as beneficial to the lucky few, while recipient governments and participating communities and their future generations have no sustainable impact results.

 

Your thoughts?

 

[1] MQ Patton in New Directions for Evaluation “Transformation to Global Sustainability: Implications for Evaluation and Evaluators, 2019  (link inaccessible)