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This paper examines the spatial organization of jobs in Kampala, the capital city of Uganda, and applies the Lucas and Rossi-Hansberg (2002) model to explain the observed patterns in terms of the agglomeration forces and the commuting costs of workers. The paper suggests that: (i) Economic activities are concentrated in the downtown -- beyond which employment is spatially dispersed. (ii) Geographically weighted regressions identify five potential subcenters in 2011; however, none of these contribute significantly to employment. When explaining the variation in employment density across localities in Kampala, the research highlights that (i) density falls by 23.5 percent per kilometer increase in distance from the nearest potential subcenter; (ii) an increase in local production externalities of 10 percent increases density by 3.7 percent; and (iii) production externalities in Kampala's potential subcenters are extremely weak to have any significant impact even on nearby tracts.

Although many studies consider the spatial pattern of manufacturing plants in developing countries, the role of services as a driver of urbanization and structural transformation is still not well understood. Using establishment level data from India, this paper helps narrow this gap by comparing and contrasting the spatial development of services with that in manufacturing. The study during the 2001-2010 period suggests that (i) services are more urbanized than manufacturing and are moving toward the urban and, by contrast, the organized manufacturing sector is moving away from urban cores to the rural periphery; (ii) manufacturing and services activities are highly correlated in spatial terms and exhibit a high degree of concentration in just a few states and industries; (iii) manufacturing in urban districts has a stronger tendency to locate closer to larger cities relative to services activity; (iv) infrastructure has a significant effect on manufacturing output, while human capital matters more for services activity; and lastly, (v) technology penetration, measured by the penetration of the Internet, is more strongly associated with services than manufacturing. Similar results hold when growth in activity is measured over the study period rather than levels. Manufacturing and services do not appear to crowd each other out of local areas.

The past two decades have seen exciting changes with developing countries emerging as exporters of services. Technological developments now make it easier to trade services across borders. But other avenues are being exploited: tourists visit not just to sightsee but also to be treated and educated, service providers move abroad under innovative new schemes, and some developing countries defy traditional notions by investing abroad in services."Exporting Services: A Developing Country Perspective" takes a brave approach, combining exploratory econometric analysis with detailed case studies of representative countries: Brazil, Chile, the Arab Republic of Egypt, India, Kenya, Malaysia, and the Philippines. Two questions lead the analysis: How did these developing countries succeed in exporting services? What policy mix was successful and what strategies did not deliver the expected results? The analysis evaluates the role of three sets of factors: First, the fundamentals, which include a country's factor endowments, infrastructure, and institutional quality; second, policies affecting trade, investment, and labor mobility in services; and third, proactive policies in services designed to promote exports or investment. The case studies illustrate the complex nature of reforms and policy making in the service sector as well as the benefits of well-implemented reforms. Although success seems to be explained by a set of conditions that are difficult to replicate, common features can also be identified. Several countries have adopted policies to support exports, especially exports of information technology-related services. This resource will be valuable for policy makers, experts, and academics who are engaged in efforts to reform service and investment policies in their own country.

This paper complements the results of earlier work on factor misallocation. The paper first expands the methodology and provides two important decompositions for the main indices. The main result is that factor and output misallocation across districts is at least as important as misallocation within districts. Second, the paper provides an exploration of the service sector that complements earlier work on manufacturing. The analysis shows that labor plays a fundamental role for misallocation in services, whereas land is the determining factor in manufacturing. Third, the paper expands our earlier work on the effects of policies on misallocation by looking at a much broader range of policies, and find strong evidence of their effects on misallocation. Finally, the paper take steps towards the identification of the causal effect of misallocation on output per worker by developing a novel instrumental variable approach and a simulation approach that allows for checking the consistency of the empirical results.

This paper quantifies the misallocation of manufacturing output and factors of production between establishments across Indian districts during 1989-2010. It first distills a number of stylized facts about misallocation in India, and demonstrates the validity of misallocation metrics by connecting them to regulatory changes in India that affected real property. With this background, the study next quantifies the implications and determinants of factor and output misallocation. Although more-productive establishments in India tend to produce more output, factors of production are grossly misallocated. A better allocation of output and factors of production is associated with greater output per worker. Misallocation of land plays a particularly important role in these challenges.

Trade and participation in global value chains can play a key role in economic diversification and development. This paper deepens the discussion about productivity growth and upgrading in agriculture in Africa, and the role of national, regional, and international value chains in supporting such structural change. The analysis in this report is based on quantitative and qualitative surveys undertaken in 2016 in Ghana, Kenya, and Zambia, where 3,935 farmers, 60 aggregators, and 56 buyers in the maize, cassava, and sorghum value chains were interviewed in the three countries. The descriptive results show that farmers who were on a contract saw greater structural transformation; higher output; and better access to seeds, fertilizers, pesticides, technology, and extension services compared with farmers who were not on a contract. To identify more robustly the link between value chain participation and contract farming with productivity and upgrading, the paper looks at the relationship using a variety of empirical methodologies, ranging from ordinary least squares and probit regressions to propensity score matching. Based on the empirical evidence, the hypothesis that value chain participation leads to structural transformation cannot be confirmed. The paper does find evidence that formal or informal contractual arrangements that regulate the provision of inputs to production, such as fertilizer, technology, extension services, and market information, positively affect upgrading. It remains nevertheless important to understand the impact of government policies on the emergence of value chains given that value chains support contractual arrangements.

Growing research and policy interest focuses on the misallocation of output and factors of production in developing economies. This paper considers the possible misallocation of financial loans. Using plant-level data on the organized and unorganized sectors, the paper describes the temporal, geographic, and industry distributions of financial loans. The focus of the analysis is the hypothesis that land misallocation might be an important determinant of financial misallocation (for example, because of the role of land as collateral against loans). Using district-industry variations, the analysis finds evidence to support this hypothesis, although it does not find a total reduction in the intensity of financial loans or those being given to new entrants. The analysis also considers differences by gender of business owners and workers in firms. Although potential early gaps for businesses with substantial female employment have disappeared in the organized sector, a sizeable and persistent gap remains in the unorganized sector.