Working Papers

This paper proposes the use of synthetic training data generated by large language models
to improve machine learning SDG classifiers. It shows that supplementing existing training data with
synthetic data produced by the ChatGPT tool improves the performance of the SDGClassy classifier.
This addition of synthetic data is especially useful in building SDG classifiers given the limited availability
of properly labeled data and the complex, interconnected nature of the SDGs. Synthetic data thus enables
more effective machine-learning applications in this context.

The pandemic has progressed differently across the world. Using monthly data on COVID-19 cases and fatalities, we evaluate whether income inequality is an important factor in explaining cross-country differences in the spread and mortality of the virus. The results show that income inequality is positively correlated with the number of COVID-19 cases. Higher income inequality is associated with a more rapid spread of the virus and an increase in the number of cases, indirectly increasing mortality rates as well. Also, higher levels of inequality are associated with reduced effectiveness of social distancing measures in containing new infections. Thus, elevated inequalities place…

This paper examines the experience of a set of countries that performed relatively well in coping with the COVID-19 crisis. The goal is to garner insights and lessons that can help countries that may experience initial or second-round outbreaks of the pandemic in the future. The paper finds healthcare, social protection, and overall governance systems as the three main determinants of COVID-19 strategies and their success. Though unique country-specific factors played an important role in confronting the pandemic in some countries, their role was generally mediated through one or the other of the above three main determinants. The findings of the paper suggest that establishing universal…

The COVID-19 pandemic is entailing huge costs worldwide. To help developing countries formulate policy responses to minimize negative impacts of the COVID-19, possible size and duration of the shocks on most vulnerable countries, i.e., least developed countries (LDCs) and Small Island Developing States (SIDS), and their resilience to overcome the shocks need to be assessed. This paper quantitatively examines possible paths of LDCs and SIDS recovering from the impacts of the COVID-19 crisis, using an autoregressive model of income growth and a panel regression model of external demand for LDCs and SIDS. Evidence from the experience of the 2007-08 global financial crisis suggests that the…

Research suggests that achieving the Sustainable Development Goals (SDGs) can open up market opportunities worth USD 12 trillion in the four largest sectors that represent 60 per cent of real economy – food and agriculture; cities; energy and materials; and health and well-being. While the concept of the SDGs creating a win-win situation for all is growing increasingly trendy, further evidence needs to be accumulated to better chart the important discourse on the private sector’s engagement with the SDGs. To this end, this paper aims to shed light on three questions: (i) How is the private sector currently engaging with the SGDs in these sectors?; (ii) What are the key areas of…

In light of the emphasis on “inclusion” in the Sustainable Development Goals (SDGs), this paper contends that social exclusion and inclusion are context-dependent concepts in at least three senses. First, the ideal of an inclusive society varies by country and by region. Second, different places have different histories, cultures, institutions and social structures. These influence the economic, social and political dimensions of social exclusion and the interplay among them. Third, context – where one lives – shapes access to resources and opportunities. Social inclusion is thus spatially uneven. The paper also shows how context matters, identifying some of the mechanisms by which…

This paper synthesizes the evidence of a negative correlation between income inequality and environmental quality. It shows that inequality exerts adverse impact on environmental outcomes through several channels, including the household, community, national, and international channels. These channels however overlap with one another and can thus reinforce the impact of inequality. Other dimensions of inequality, in particular gender inequality, also impact environmental quality negatively. The concept of the Environmental Kuznets Curve (EKC) is not that helpful in explaining the negative correlation between inequality and environmental quality. The findings of the paper suggest that…

Implementation of the Agenda 21 bifurcated into two tracks. While the economic and social development agenda gelled into the Millennium Development Goals (MDGs), the environmental protection agenda moved along a different track, represented by the United Nations Framework Convention on Climate Change (UNFCCC), Convention on Biodiversity (CBD), etc. This bifurcation also led to very different “domain configurations.” While there were some advantages of this bifurcation, it led to a conflict between the human development and the environmental goals. This paper presents a framework for bringing environment and development together in the UN post-2015 agenda.