Conservation Impact Evaluation Using Remotely Sensed Data

40 Pages Posted: 9 Aug 2022

See all articles by Alberto Garcia

Alberto Garcia

University of California, Santa Barbara (UCSB)

Robert Heilmayr

University of California, Santa Barbara (UCSB)

Date Written: August 2, 2022

Abstract

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

Suggested Citation

Garcia, Alberto and Heilmayr, Robert, Conservation Impact Evaluation Using Remotely Sensed Data (August 2, 2022). Available at SSRN: https://ssrn.com/abstract=4179782 or http://dx.doi.org/10.2139/ssrn.4179782

Alberto Garcia (Contact Author)

University of California, Santa Barbara (UCSB) ( email )

South Hall 5504
Santa Barbara, CA 93106
United States

Robert Heilmayr

University of California, Santa Barbara (UCSB) ( email )

South Hall 5504
Santa Barbara, CA 93106
United States

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