Conservation Impact Evaluation Using Remotely Sensed Data
40 Pages Posted: 9 Aug 2022
Date Written: August 2, 2022
Conservation scientists are increasingly measuring the impacts of conservation interventions by applying quasiexperimental impact evaluation to remotely sensed panel data on land use change. However, these applications come with new challenges. Using Monte Carlo simulations and analytical proofs, we demonstrate that many of the panel econometric models employed for conservation impact evaluation are biased - the significance, magnitude and even direction of estimated effects from many studies are likely incorrect. These errors threaten to undermine the evidence base that underpins conservation policy adoption and design. We review the methods in this burgeoning literature and develop guidance for the design of econometric models quantifying conservation policy effectiveness.
Keywords: Deforestation, Conservation, Impact evaluation, Remote sensing
JEL Classification: Q23, Q24, Q57, C23
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