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Climate, Water Navigability, and Economic Development

Author

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  • Andrew D. Mellinger
  • Jeffrey D. Sachs
  • John L. Gallup

Abstract

Geographic information systems (GIS) data was used on a global scale to examine the relationship between climate (ecozones), water navigability, and economic development in terms of GDP per capita. GDP per capita and the spatial density of economic activity measured as GDP per km2 are high in temperate ecozones and in regions proximate to the sea (within 100 km of the ocean or a sea-navigable waterway). Temperate ecozones proximate to the sea account for 8 percent of the world’s inhabited land area, 23 percent of the world’s population, and 53 percent of the world’s GDP. The GDP densities in temperate ecozones proximate to the sea are on average eighteen times higher than in non-proximate non-temperate areas.

Suggested Citation

  • Andrew D. Mellinger & Jeffrey D. Sachs & John L. Gallup, 1999. "Climate, Water Navigability, and Economic Development," CID Working Papers 24, Center for International Development at Harvard University.
  • Handle: RePEc:wop:cidhav:24
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    File URL: http://www.cid.harvard.edu/cidwp/pdf/024.pdf
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    References listed on IDEAS

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    1. John Luke Gallup & Jeffrey D. Sachs & Andrew D. Mellinger, 1998. "Geography and Economic Development," NBER Working Papers 6849, National Bureau of Economic Research, Inc.
    2. Rappaport, Jordan & Sachs, Jeffrey D, 2003. "The United States as a Coastal Nation," Journal of Economic Growth, Springer, vol. 8(1), pages 5-46, March.
    3. David E. Bloom & Jeffrey D. Sachs, 1998. "Geography, Demography, and Economic Growth in Africa," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 29(2), pages 207-296.
    4. John Luke Gallup & Jeffrey D. Sachs & Andrew D. Mellinger, 1998. "Geography and Economic Development," Harvard Institute of Economic Research Working Papers 1856, Harvard - Institute of Economic Research.
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    Cited by:

    1. Nejat Anbarci & Monica Escaleras & Charles A. Register, 2012. "From Cholera Outbreaks to Pandemics: The Role of Poverty and Inequality," The American Economist, Sage Publications, vol. 57(1), pages 21-31, May.
    2. Mihai Mutascu, 2014. "Influence of climate conditions on tax revenues," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 8(3), September.
    3. Bhupatiraju S., 2014. "The geographic dimensions of institutions," MERIT Working Papers 2014-086, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    4. William Easterly & Ross Levine, 2002. "It´s Not Factor Accumulation: Stylized Facts and Growth Models," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Raimundo Soto & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series Editor) (ed.),Economic Growth: Sources, Trends, and Cycles, edition 1, volume 6, chapter 3, pages 061-114, Central Bank of Chile.
    5. Mitchener, Kris James & McLean, Ian W, 2003. "The Productivity of US States since 1880," Journal of Economic Growth, Springer, vol. 8(1), pages 73-114, March.
    6. Edgardo Sica, 2005. "Climatic differences and Economic Growth across Italian Provinces: First Empirical Evidence," Quaderni DSEMS 20-2005, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
    7. Casey Brown & Upmanu Lall, 2006. "Water and economic development: The role of variability and a framework for resilience," Natural Resources Forum, Blackwell Publishing, vol. 30(4), pages 306-317, November.

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    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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