Estimating the effectiveness of forest protection using regression discontinuity

A-Tier
Journal: Journal of Environmental Economics and Management
Year: 2024
Volume: 127
Issue: C

Score contribution per author:

4.022 = (α=2.01 / 1 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This article uses satellite data to estimate the effectiveness of government protection on forested land across the globe over 2000–2022. Since deforestation can have significant negative externalities, measuring the effectiveness of protected areas is important for the future of conservation. It uses a regression discontinuity design at the boundaries of protected forest to counter the fact that protection is not randomly assigned. It estimates that protected areas are 30% effective on average, with significant heterogeneity between countries. Many countries with significant forest have extremely ineffective protection, such as Indonesia, the DRC, and Bolivia, suggesting that improvements to the quality of protection are just as important as the quantity of protected areas to conserve biodiversity.

Technical Details

RePEc Handle
repec:eee:jeeman:v:127:y:2024:i:c:s0095069624000950
Journal Field
Environment
Author Count
1
Added to Database
2026-01-26