Project description:This article presents a global database of government contracts funded by the World Bank, Inter-American Development Bank and EuropeAid, principally from the years 2000-2017. The contract-level data were directly collected from the official contract publication sites of these organisations using webscraping methods. While the source publication formats are diverse both over time and across publishers, we standardized and harmonized the datasets so that they can be analysed jointly. The datasets contain key information on the contracting parties (e.g. buyer and supplier names) the contract's content (e.g. contract value and product description) and details of the contracting process (e.g. contract award date or the procedure followed). In addition, it also contains information on the development aid projects of the contracts (e.g. project title and value). The data has wide reuse potential for researchers looking for detailed micro-level information on how major development aid spending takes place and what impacts it has. This database underlies the research article "Anti-corruption in aid-funded procurement: Is corruption reduced or merely displaced?" [1] which develops corruption risk indicators using the dataset presented.
Project description:Background: Over the past decade gender mainstreaming has gained visibility at global health organisations. The World Bank, one of the largest funders of global health activities, released two World Development Reports showcasing its gender policies, and recently announced a $1 billion initiative for women's entrepreneurship. We summarise the development of the Bank's gender policies and analyse its financing of gender projects in the health sector. This article is intended to provide background for future research on the Bank's gender and global health portfolio. Methods: First, we constructed a timeline of the Bank's gender policy development, through a review of published articles, grey literature, and Bank documents and reports. Second, we performed a health-focused analysis of publicly available Bank gender project databases, to track its financing of health sector projects with a gender 'theme' from 1985-2017. Results: The Bank's gender policy developed through four major phases from 1972-2017: 'women in development' (WID), institutionalisation of WID, gender mainstreaming, and gender equality through 'smart economics'. In the more inclusive Bank project database, projects with a gender theme comprised between 1.3% (1985-1989) and 6.2% (2010-2016) of all Bank commitments. Most funding targeted middle-income countries and particular health themes, including communicable diseases and health systems. Major gender-related trust funds were absent from both databases. The Bank reports that 98% of its lending is 'gender informed', which indicates that the gender theme used in its publicly available project databases is poorly aligned with its criteria for gender informed projects. Conclusion: The Bank focused most of its health sector gender projects on women's and girls' issues. It is increasingly embracing private sector financing of its gender activities, which may impact its poverty alleviation agenda. Measuring the success of gender mainstreaming in global health will require the Bank to release more information about its gender indicators and projects.
Project description:Economic inequality is notoriously difficult to quantify as reliable data on household incomes are missing for most of the world. Here, we show that a proxy for inequality based on remotely sensed nighttime light data may help fill this gap. Individual households cannot be remotely sensed. However, as households tend to segregate into richer and poorer neighborhoods, the correlation between light emission and economic thriving shown in earlier studies suggests that spatial variance of remotely sensed light per person might carry a signal of economic inequality. To test this hypothesis, we quantified Gini coefficients of the spatial variation in average nighttime light emitted per person. We found a significant relationship between the resulting light-based inequality indicator and existing estimates of net income inequality. This correlation between light-based Gini coefficients and traditional estimates exists not only across countries, but also on a smaller spatial scale comparing the 50 states within the United States. The remotely sensed character makes it possible to produce high-resolution global maps of estimated inequality. The inequality proxy is entirely independent from traditional estimates as it is based on observed light emission rather than self-reported household incomes. Both are imperfect estimates of true inequality. However, their independent nature implies that the light-based proxy could be used to constrain uncertainty in traditional estimates. More importantly, the light-based Gini maps may provide an estimate of inequality where previously no data were available at all.
Project description:Understanding the causes of economic inequality is critical for achieving equitable economic development. To investigate whether global warming has affected the recent evolution of inequality, we combine counterfactual historical temperature trajectories from a suite of global climate models with extensively replicated empirical evidence of the relationship between historical temperature fluctuations and economic growth. Together, these allow us to generate probabilistic country-level estimates of the influence of anthropogenic climate forcing on historical economic output. We find very high likelihood that anthropogenic climate forcing has increased economic inequality between countries. For example, per capita gross domestic product (GDP) has been reduced 17-31% at the poorest four deciles of the population-weighted country-level per capita GDP distribution, yielding a ratio between the top and bottom deciles that is 25% larger than in a world without global warming. As a result, although between-country inequality has decreased over the past half century, there is ∼90% likelihood that global warming has slowed that decrease. The primary driver is the parabolic relationship between temperature and economic growth, with warming increasing growth in cool countries and decreasing growth in warm countries. Although there is uncertainty in whether historical warming has benefited some temperate, rich countries, for most poor countries there is >90% likelihood that per capita GDP is lower today than if global warming had not occurred. Thus, our results show that, in addition to not sharing equally in the direct benefits of fossil fuel use, many poor countries have been significantly harmed by the warming arising from wealthy countries' energy consumption.
Project description:BackgroundThis study views sustainability after the exit of development assistance for health (DAH) as a shared responsibility between donors and recipients and sees transitioning DAH-supported interventions into domestic health policy as a pathway to this sustainability. It aims to uncover and understand the reemergent aspects of the donor-recipient dynamic in DAH and how they contribute to formulating domestic health policy and post-DAH sustainability.MethodsWe conducted a case study on two DAH-supported interventions: medical financial assistance in the Basic Health Services Project supported by the World Bank and UK (1998-2007) and civil society engagement in the HIV/AIDS Rolling Continuation Channel supported by the Global Fund (2010-2013) in China. From December 2021 to December 2022, we analyzed 129 documents and interviewed 46 key informants. Our data collection and coding were guided by a conceptual framework based on Walt and Gilson's health policy analysis model and the World Health Organization's health system building blocks. We used process tracing for analysis.ResultsAccording to the collected data, our case study identified three reemergent, interrelated aspects of donor-recipient dynamics: different preferences and compromise, partnership dialogues, and responsiveness to the changing context. In the case of medical financial assistance, the dynamic was characterized by long-term commitment to addressing local needs, on-site mutual learning and understanding, and local expertise cultivation and knowledge generation, enabling proactive responses to the changing context. In contrast, the dynamic in the case of HIV/AIDS civil society engagement marginalized genuine civil society engagement, lacked sufficient dialogue, and exhibited a passive response to the context. These differences led to varying outcomes in transnational policy diffusion and sustainability of DAH-supported interventions between the cases.ConclusionsGiven the similarities in potential alternative factors observed in the two cases, we emphasize the significance of the donor-recipient dynamic in transnational policy diffusion through DAH. The study implies that achieving post-DAH sustainability requires a balance between donor priorities and recipient ownership to address local needs, partnership dialogues for mutual understanding and learning, and collaborative international-domestic expert partnerships to identify and respond to contextual enablers and barriers.
Project description:While many international organisations have independent evaluations, including the International Monetary Fund (IMF) and World Health organization (WHO), uniquely the World Bank in its 2015 World Development Report sought to ascertain the potential biases that influence how its staff interpret evidence and influence policy. Here, we describe the World Bank's study design, including experiments to ascertain the impact on Bank staff's judgements of complexity, confirmation bias, sunk cost bias, and an understanding of the wishes of those whom they seek to help. We then review the Bank's proposed mechanisms to minimise the impact of the biases they identified. We argue that this approach, that we refer to as 'reflective practice,' deserves to be adopted more widely among institutions that seek to use evidence from research to inform policy and practice.