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Damania, Richard

Sustainable Development Practice Group, The World Bank
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Development Economics, Environmental Economics, Natural Resource Economics, Agricultural Economics, Water Economics, Game Theory
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Last updated: November 29, 2023
Biography
Richard Damania is the Chief Economist of the Sustainable Development Practice Group. He has held several positions in the World Bank including as Senior Economic Advisor in the Water Practice, Lead Economist in the Africa Region’s Sustainable Development Department, in the South Asia and Latin America and Caribbean Regions of the World Bank. His work has spanned across multiple sectors and has helped the World Bank become an acknowledged thought-leader on matters relating to environment, water and the economy. Prior to joining the World Bank he held positions in academia and has published extensively with over 100 papers in scientific journals.
Citations 33 Scopus

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2010 - 20152
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End date: 2015 × Item Type: Publication × Sub-Saharan Africa: Africa climate vulnerability ×

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Now showing 1 - 2 of 2
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    Road Improvement and Deforestation in the Congo Basin Countries
    (World Bank, Washington, DC, 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.
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    Ecosystems : Burden or Bounty?
    (World Bank, Washington, DC, 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.