2018, Russ, Jason, Damania, Richard, Barra, A. Federico, Nash, John

Transport infrastructure consumes a large fraction of the development assistance envelope. Yet procedures for evaluating transport infrastructure projects are typically ad hoc. This paper proposes an approach to assess the differential impacts of alternative investment proposals in data constrained environments where conducting reliable impact analyses is difficult. We first demonstrate a technique for estimating the cost of transporting products to markets. We then estimate the impact of improving the road network on economic activity. Finally, we perform simulations to demonstrate a methodology for prioritizing alternative investments. The analysis demonstrates a pragmatic, though rigorous, approach for assessing transport infrastructure benefits.

2015-05, Ali, Rubaba, Barra, A. Federico, Berg, Claudia N., Damania, Richard, Nash, John D., Russ, Jason

This paper addresses an old and recurring theme in development economics: the slow adoption of new technologies by farmers in many developing countries. The paper explores a somewhat novel link to explain this puzzle -- the link between market access and the incentives to adopt a new technology when there are non-convexities. The paper develops a theoretical model to guide the empirical analysis, which uses spatially disaggregated agricultural production data from Spatial Production Allocation Model and Living Standards Measurement Study survey data for Nigeria. The model is used to estimate the impact of transport costs on crop production, the adoption of modern technologies, and the differential impact on returns of modern versus traditional farmers. To overcome the limitation of data availability on travel costs for much of Africa, road survey data are combined with geographic information road network data to generate the most thorough and accurate road network available. With these data and the Highway Development Management Model, minimum travel costs from each location to the market are computed. Consistent with the theory, analysis finds that transportation costs are critical in determining technology choices, with a greater responsiveness among farmers who adopt modern technologies, and at times a perverse (negative) response to lower transport costs among those who employ more traditional techniques. In sum, the paper presents compelling evidence that the constraints to the adoption of modern technologies and access to markets are interconnected, and so should be targeted jointly.

2015-05, Ali, Rubaba, Barra, Alvaro Federico, Berg, Claudia N., Damania, Richard, Nash, John, Russ, Jason

Transport infrastructure is deemed to be central to development and consumes a large fraction of the development assistance envelope. Yet there is debate about the economic impact of road projects. This paper proposes an approach to assess the differential development impacts of alternative road construction and prioritize various proposals, using Nigeria as a case study. Recognizing that there is no perfect measure of economic well-being, a variety of outcome metrics are used, including crop revenue, livestock revenue, non-agricultural income, the probability of being multi-dimensionally poor, and local gross domestic product for Nigeria. Although the measure of transport is the most accurate possible, it is still endogenous because of the nonrandom placement of road infrastructure. This endogeneity is addressed using a seemingly novel instrumental variable termed the natural path: the time it would take to walk along the most logical route connecting two points without taking into account other, bias-causing economic benefits. Further, the analysis considers the potential endogeneity from nonrandom placement of households and markets through carefully chosen control variables. It finds that reducing transportation costs in Nigeria will increase crop revenue, non-agricultural income, the wealth index, and local gross domestic product. Livestock sales increase as well, although this finding is less robust. The probability of being multi-dimensionally poor will decrease. The results also cast light on income diversification and structural changes that may arise. These findings are robust to relaxing the exclusion restriction. The paper also demonstrates how to prioritize alternative road programs by comparing the expected development impacts of alternative New Partnership for Africas Development projects.

2014-05, Scandizzo, Pasquale Lucio, Damania, Richard, Glauber, A.J

This paper presents a somewhat novel approach to explore the economic contribution of ecosystems. It develops linked models to capture connections between resource stocks and flows and the resulting microeconomic and macroeconomic impacts. A bioeconomic model is developed that is imbedded into a computable general equilibrium (CGE) model. Incorporating imperfect regulation, the bioeconomic model characterizes optimal policies, while the CGE model explores the economy-wide consequences of possible changes to the ecosystem. The model is parameterized and calibrated to the case of the Serengeti ecosystem which is perhaps the most intensively researched biome with a relative abundance of data. This ecosystem is also undergoing rapid change from a host of factors related to developments within and around the protected area system. The analysis identifies the contribution of the ecosystem to the economy and finds that changes in tourism and bushmeat hunting have surprisingly diffuse economy-wide impacts, that are especially large in the rural sector. To guard against overstatement, ecosystem impacts are under-stated relative to other effects. The results suggest that linkages to the natural resource sector (backward and forward multipliers) are important and neglecting these may lead to biased estimates.

2015-05, Wheeler, David, Damania, Richard

Road construction has often been viewed as the precursor to deforestation, especially in tropical forests. Traditional responses to such threats have been reactive, with attempts to mitigate impacts through physical measures, or the establishment of protected areas. These approaches often have not been entirely successful, especially in areas where economic potential is significant. This paper seeks to mitigate such conflicts by proposing a proactive approach to development planning and environmental policy. It develops a high-resolution spatial model of road improvement impacts that includes ecological risks and the economics of forest clearing. The approach is implemented by estimating the potential impact of road upgrading on forest clearing and biodiversity in eight Congo Basin countries. The paper demonstrates how the detailed analysis can identify areas of high ecological priority as well as areas at high risk of forest loss. The paper contributes to several aspects of the literature. First, it provides the most recent and reliable estimates of the drivers of deforestation in the Congo Basin, with the latest high-resolution satellite data on forest cover changes. Second, it presents novel estimates of biodiversity threats by creating an index that combines and synthesizes several measures of biodiversity loss and impacts. It then develops an empirical framework for estimating the ecological impacts of road improvement. Finally, the paper illustrates how the empirical framework can be used to preempt impacts and avoid potential ecological damage.

2019-10-07, Desbureaux, Sebastien, Damania, Richard, Scandizzo, Pasquale Lucio, Mikou, Mehdi, Gohil, Deepali, Said, Mohammed

It is no exaggeration to state that Kenya’s wildlife has done much to shape the image and development fortunes of the country. Today tourism is among Kenya’s top sources of foreign exchange, dominates the service sector, and contributes significantly to employment, especially in rural areas where economic opportunities are limited. The typical international tourist arrives on a package tour that may include a safari, a visit to the beach, or both. It is safari tourism, however, that generates the most employment and economic activity across the country. But the wildlife that has lured travelers to Kenya by the planeload is in dramatic decline. In the past three decades, the country has lost more than half of its wildlife. Wild herds that once roamed freely across the borders of Kenya and Tanzania have shrunk dramatically in numbers and vanished completely from much of the North. Perhaps most troubling is that recent monitoring of wildlife populations suggests that long-term declines of many of the charismatic species that attract tourists like lions, elephants, giraffes, impalas, and others are occurring at the same rates within the country’s national parks as outside of these protected areas. This report identifies with greater precision the drivers of land conversion from natural habitats to other uses, and examines the extent to which land conversion leads to the extirpation of wildlife and the loss of tourism incomes.