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Empirical regularities in the poverty-environment relationship of African rural households

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  • William Cavendish

Abstract

Analysis of rural households and environmental resources is beset by inadequate data, especially in Africa. Using purpose-collected panel data from Zimbabwe, we demonstrate seven empirical regularities in the rural poverty-environment relationship. Most importantly, environmental resources make a significant contribution to average rural incomes. Poorer households also depend heavily on these resources, which contribute c.40 percent to their incomes. However richer household use greater quantities of environmental resources in total. Finally, considerable differentiation exists in the economic characteristics of environmental goods. These results demonstrate the considerable economic significance of environmental resources to rural households. Surveys which ignore them miscalculate rural incomes and welfare.

Suggested Citation

  • William Cavendish, 1999. "Empirical regularities in the poverty-environment relationship of African rural households," CSAE Working Paper Series 1999-21, Centre for the Study of African Economies, University of Oxford.
  • Handle: RePEc:csa:wpaper:1999-21
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    References listed on IDEAS

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    1. Sandeep H. Patel & Thomas C. Pinckney & William K. Jaeger, 1995. "Smallholder Wood Production and Population Pressure in East Africa: Evidence of an Environmental Kuznets Curve?," Land Economics, University of Wisconsin Press, vol. 71(4), pages 516-530.
    2. Scoones, Ian, 1992. "The economic value of livestock in the communal areas of southern Zimbabwe," Agricultural Systems, Elsevier, vol. 39(4), pages 339-359.
    3. Duraiappah, Anantha K., 1998. "Poverty and environmental degradation: A review and analysis of the nexus," World Development, Elsevier, vol. 26(12), pages 2169-2179, December.
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    3. Zerihun Berhane Weldegebriel & Martin Prowse, 2013. "Climate-Change Adaptation in Ethiopia: To What Extent Does Social Protection Influence Livelihood Diversification?," Development Policy Review, Overseas Development Institute, vol. 31, pages 35-56, November.
    4. Aline Chiabai & Chiara Travisi & Anil Markandya & Helen Ding & Paulo Nunes, 2011. "Economic Assessment of Forest Ecosystem Services Losses: Cost of Policy Inaction," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(3), pages 405-445, November.
    5. Chukwuone, N.A. & Okeke, C.A., 2012. "Can non-wood forest products be used in promoting household food security?: Evidence from savannah and rain forest regions of Southern Nigeria," Forest Policy and Economics, Elsevier, vol. 25(C), pages 1-9.
    6. Zewdu, Getnet Alemu & Malek, Mehrab, 2010. "Implications of land policies for rural-urban linkages and rural transformation in Ethiopia," ESSP working papers 15, International Food Policy Research Institute (IFPRI).
    7. Campbell, Bruce & Mandondo, Alois & Nemarundwe, Nontokozo & Sithole, Bevlyne & De JonG, Wil & Luckert, Marty & Matose, Frank, 2001. "Challenges to Proponents of Common Property Recource Systems: Despairing Voices from the Social Forests of Zimbabwe," World Development, Elsevier, vol. 29(4), pages 589-600, April.
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    9. Sjaastad, Espen & Angelsen, Arild & Vedeld, Pål & Bojö, Jan, 2005. "What is environmental income?," Ecological Economics, Elsevier, vol. 55(1), pages 37-46, October.

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    Keywords

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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General

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