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.

Lack of fiscal space and the risk of sovereign debt distress remain key stumbling blocks to achieving Sustainable Development Goals (SDGs) in developing countries. Because the allocation of concessional funds and debt relief is essentially reserved to Low Income countries (LICs), official financing strategies and mechanisms to support developing countries provide insufficient support to non-LICs that may need and deserve special consideration concerning official financing. This paper discusses how official financial support allocation could consider countries’ vulnerabilities in critical dimensions, with special reference to Small Island Developing States (SIDS). It explores how a…

As developing countries pursue infrastructure projects, they should aim to address a combination of the pandemic, climate, inequality, and other crises with the right mix of economic and social infrastructure. To do this, governments must invest in a national infrastructure planning process, align planning with the SDGs, and prioritize sustainable infrastructure over infrastructure that does not put people and the planet first. There is no silver bullet for all the challenges; however, incremental changes based on innovative precedents can potentially make a difference on the ground. This paper proposes an analytical framework to consider these challenges and concludes with possible…

This paper investigates the role of trade costs in exporter dynamics in Africa. In comparison to exporters from other regions, African exporting firms are fewer, smaller and relatively less diversified in terms of products and destinations. African countries also display the highest rates of entry, exit and turnover of exporting firms, exporting products and export destinations. This suggests that Africa’s exporting activity is volatile and subject to a lot of experimentation, with exporters having difficulties in maintaining trade relationships. The analysis also confirms that trade costs are a crucial factor in explaining exporter performance in Africa vis-à-vis other regions, but also…

Productive and technological capabilities matter. The more conventional strands of the literature have emphasized them as major engines of export, growth and development. But how they matter is less clear, and many open questions remain on how capabilities influence export dynamics at microeconomic level. This paper empirically investigates their role on export dynamics in 40 developing countries between 2002 and 2012. In doing so, the paper exploits a country-sector-year database containing exporter-level statistical information. The empirical analysis shows that, within sectors, countries with higher productive capacities have more exporters, and the exporters are larger and charge…

We provide a history of past periods of rapid technological change starting from the Industrial Revolution continuing up to today. We find that it takes decades for technological breakthroughs to make a difference to the aggregate economy. The reason for this delay is that to realize the value of these breakthroughs requires complementary investments. Second, for good or for bad, government has played an important role in facilitating these transitions through both investments in physical infrastructure and legal reforms. We also emphasize that because technological breakthroughs are difficult to predict, the responses of governments are necessarily improvisational.

This paper conceptualizes recently negotiated international agreements, particularly the 2030 Agenda for Sustainable Development, as a collective roadmap to overcome challenges associated with globalization. By analyzing the effects and implications of globalization on societies and economies, the paper highlights concrete aspects of the international commitments that address globalization challenges in the three dimensions of sustainable development. Particular focus is placed on global production patterns, labor markets, poverty and inequality, global imbalances, migration and climate change. The paper concludes that, in the context of a changing political economy of globalization and…

This paper offers a unifying conceptual framework for understanding the relationship between climate change and “within-country inequalities,” referred here collectively as “social inequality.” Available evidence indicates that this relationship is characterized by a vicious cycle, whereby initial inequality causes the disadvantaged groups to suffer disproportionately from the adverse effects of climate change, resulting in greater subsequent inequality. The paper identifies three main channels through which the inequality-aggravating effect of climate change materializes, namely (a) increase in the exposure of the disadvantaged groups to the adverse effects of climate change; (b)…

This paper maps interrelationships among targets of the Sustainable Development Goal dedicated to oceans (SDG 14), as well as interrelationships between those targets and other SDGs. This is done using a large number of UN reports as well as scientific publications. The literature identifies many linkages among the targets of SDG 14; most of these targets are potentially synergistic with one another. Many linkages also exist between SDG 14 targets and other SDGs. Different targets under SDG 14 link to different SDGs. This has implications for policy discussions on how to achieve progress on SDG 14. The interrelationships that we highlight can be used as a tool for dialogue between policy…

This paper discusses Uzbekistan’s recent experience with structural shifts and industrial policy and the larger implications for existing theories of industrial policy. The paper has a particular focus on various industry policy instruments.

Two major hypotheses are discussed: (1) the hypothesis of Haussmann, Hwang and Rodrik (the more technologically sophisticated the export structure, the better for growth) and (2) the hypothesis of Justin Yifu Lin (export specialization should build on existing comparative advantages and not jump over the necessary technological stages).

In most developing countries a shortage of long-term, local-currency financing for small-scale infrastructure projects impedes local economic development. Inadequate fiscal transfers, little own source revenue and low creditworthiness make it difficult for local governments to fully fund projects on their own. This paper proposes the use of project finance as a means to attract financing from domestic banks and institutional investors. Donors can play a catalytic role by providing technical assistance to develop projects and credit enhancement to attract commercial financing.

To achieve the greatest possible human welfare, the Stockholm Environment Institute’s Climate and Regional Economics of Development (CRED) model calls for rapid reduction of greenhouse gas emissions to keep cumulative 21st century carbon dioxide emissions below 2,000 Gt. We explain why as some other models claim very slow emission reductions are best. We make three changes to the basic assumptions of the well-known DICE model to include the most recent estimates of economic damages from climate change, express greater concern about the well-being of future generations, and expect rich countries to invest in emissions and poverty reduction in poorer countries.