The Natural Resource Curse, Fiscal Decentralization, and Agglomeration Economies

Raveh, Ohad (2011): The Natural Resource Curse, Fiscal Decentralization, and Agglomeration Economies.

Abstract

Natural resource abundance is a blessing for some countries, yet is a curse for others. The degree of fiscal decentralization may account for this divergent outcome. Resources tend to locate in remote, non-agglomerated, and sparsely populated areas; a high degree of fiscal decentralization gives a resource abundant region an advantage in the inter-regional tax competition over capital so that it attracts some capital from agglomerated and densely populated regions. Given a sufficiently high agglomeration level, any such movement of capital would bring a loss of output in the agglomerated region that outweighs the sum of gains from resource income and increased output in the remote region – so that aggregate product in the economy drops. This theory is empirically tested -and confirmed- building on Sachs and Warner’s influential works on the resource curse, employing the World Bank’s Fiscal Decentralization Indicators, and taking the United States as a case study.

• Item Type: MPRA Paper
• Language: English
• Keywords: Natural Resources, Economic Growth, Resource Curse, Fiscal Decentralization, Agglomeration Economies, Tax Competition
• Subjects: O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O18 - Urban, Rural, Regional, and Transportation Analysis ; Housing ; Infrastructure; O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O57 - Comparative Studies of Countries; O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O13 - Agriculture ; Natural Resources ; Energy ; Environment ; Other Primary Products; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q33 - Resource Booms; C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions

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