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A computationally convenient diversity measure: Theory and application

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  • Hayri Önal

Abstract

This paper introduces a computationally convenient measure of structural diversity based on absolute deviations between relative shares of individual groups forming a community. A conceptual framework is developed, some theoretical properties of the measure are derived, and its close relation to the Shannon index, a widely used diversity measure, is explored. The paper also presents an empirical application involving this measure where optimum harvesting strategies are determined under diversity constraints, and investigates the trade off between economic and environmental objectives for a mixed forest in Indonesia. Copyright Kluwer Academic Publishers 1997

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  • Hayri Önal, 1997. "A computationally convenient diversity measure: Theory and application," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 9(4), pages 409-427, June.
    • Handle: RePEc:kap:enreec:v:9:y:1997:i:4:p:409-427
    DOI: 10.1007/BF02441759
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    1. Solow Andrew & Polasky Stephen & Broadus James, 1993. "On the Measurement of Biological Diversity," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 60-68, January.
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    1. Patrick Bottazzi & David Crespo & Harry Soria & Hy Dao & Marcelo Serrudo & Jean Paul Benavides & Stefan Schwarzer & Stephan Rist, 2014. "Carbon Sequestration in Community Forests: Trade-offs, Multiple Outcomes and Institutional Diversity in the Bolivian Amazon," Development and Change, International Institute of Social Studies, vol. 45(1), pages 105-131, January.
    2. Bottazzi, Patrick & Cattaneo, Andrea & Rocha, David Crespo & Rist, Stephan, 2013. "Assessing sustainable forest management under REDD+: A community-based labour perspective," Ecological Economics, Elsevier, vol. 93(C), pages 94-103.
    3. Shone, Bryan M. & Caviglia-Harris, Jill L., 2006. "Quantifying and comparing the value of non-timber forest products in the Amazon," Ecological Economics, Elsevier, vol. 58(2), pages 249-267, June.
    4. Simpson, R. David, 2002. "Definitions of Biodiversity and Measures of Its Value," RFF Working Paper Series dp-02-62, Resources for the Future.
    5. Pacini, Cesare & Wossink, Ada & Vazzana, Concetta & Omodei-Zorini, Luigi, 2000. "Environmental Accounting In Agriculture: A Theoretical Overview With Special Reference To Tuscany," 2000 Annual meeting, July 30-August 2, Tampa, FL 21870, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Bertomeu, M. & Romero, C., 2001. "Managing forest biodiversity: a zero-one goal programming approach," Agricultural Systems, Elsevier, vol. 68(3), pages 197-213, June.
    7. Simpson, R. David, 2002. "Definitions of Biodiversity and Measures of Its Value," Discussion Papers 10551, Resources for the Future.
    8. Safarzynska, Karolina, 2017. "The Implications of Industrial Development for Diversification of Fuels," Ecological Economics, Elsevier, vol. 137(C), pages 37-46.

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