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Dynamic adjustment and the specification of empirical economic models of deforestation

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  • Aisbett, Emma
  • Doupé, Patrick
  • Tacconi, Luca

Abstract

Tropical deforestation has been one of the most significant global environmental changes of recent decades and has spurred a substantial academic literature. Despite this, the empirical literature provides inconsistent evidence on the role of basic economic determinants of deforestation such as income and population. The authors suggest that one explanation for this inconsistency is a tendency to use incomplete or incorrect dynamic regression specifications. They derive three plausible dynamic empirical model specifications and compare their performance both with each other and with an ad hoc model typical of those used in the literature. Statistical tests support the use of more completely specified models which allow for dynamic adjustment of forest cover.

Suggested Citation

  • Aisbett, Emma & Doupé, Patrick & Tacconi, Luca, 2017. "Dynamic adjustment and the specification of empirical economic models of deforestation," Environment and Development Economics, Cambridge University Press, vol. 22(4), pages 470-489, August.
    • Handle: RePEc:cup:endeec:v:22:y:2017:i:04:p:470-489_00
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    Cited by:

    1. Adriano Bressane & Alexandre Siminski & Isadora Gurjon Gomes & Carrie Peres Melo & Graziele Coraline Scofano Rosa & Amanda Louisi Santos Galvão & Mirela Beatriz Silva & Líliam César Castro Medeiros & , 2023. "Prioritization of key indicators for the classification of successional stages in regenerating subtropical Atlantic forest, Southern Brazil: a proposal based on multivariate order statistics," Environment Systems and Decisions, Springer, vol. 43(2), pages 232-241, June.

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