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.

In Article 25 (1) of the Universal Declaration of Human Rights, the United Nations recognized in 1948 the basic human right to “security in the event of unemployment, sickness, disability, widowhood, old age or other lack of livelihood in circumstances beyond ... control.” This paper examines how economic insecurity is related to, yet different from, poverty and inequality, why it matters for human well-being and how it has been changing in different countries around the world in recent years. The paper concludes with discussion of how economic insecurity has been and will be affected by the Covid-19 pandemic/recession.

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…

Between the many resolutions, speeches, reports and other documents that are produced each year, the United Nations is awash in text. It is an ongoing challenge to create a coherent and useful picture of this corpus. In particular, there is an interest in measuring how the work of the United Nations system aligns with the Sustainable Development Goals (SDGs). There is a need for a scalable, objective, and consistent way to measure how similar any given publication is to each of the 17 SDGs. This paper explains a proof-of-concept process for building such a system using machine learning algorithms. By creating a model of the 17 SDGs it is possible to measure how similar the contents of…

This paper examines the relationship between “Transformative Change,” advocated by the 2030 Agenda for sustainable development, and “Structural Change,” which has been a longstanding and important concept in Development Economics. It shows that while structural change is still relevant, growing concerns for social development and environmental protection made it necessary to switch to the more encompassing concept of “Transformative Change” that provides greater space for inclusion and interaction of all three dimensions of sustainable development. The paper notes that, in the era of greater globalization, countries have followed more varied patterns of structural change, all of which…

Economic diversification is very relevant for poorer developing countries to create jobs and foster economic development. That need has been recognized in key internationally agreed development goals. The empirical economic literature has identified several stylized facts about the pattern of diversification of economies, but the development of explanations for those patterns in general has been only loosely associated with economic theory on growth, trade, technology change and structural transformation. Making that connection is relevant because it could inform policymakers in developing countries in designing and implementing policies for promoting diversification. This paper presents…

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.