Estimating the effectiveness of forest protection using regression discontinuity

IF 5.5 3区 经济学 Q1 BUSINESS
Timothy Neal
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引用次数: 0

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.

利用回归非连续性估算森林保护的有效性
本文利用卫星数据估算了 2000-2022 年间政府对全球林地保护的有效性。由于砍伐森林会产生巨大的负外部效应,因此衡量保护区的有效性对未来的保护工作非常重要。该研究在受保护森林的边界采用了回归不连续设计,以应对保护不是随机分配的这一事实。据估计,保护区的平均有效性为 30%,但各国之间存在显著差异。许多拥有大量森林的国家(如印度尼西亚、刚果民主共和国和玻利维亚)的保护效果极差,这表明提高保护质量与保护区数量对于保护生物多样性同样重要。
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来源期刊
CiteScore
8.00
自引率
4.30%
发文量
91
期刊介绍: The Journal of Environmental Economics and Management publishes theoretical and empirical papers devoted to specific natural resources and environmental issues. For consideration, papers should (1) contain a substantial element embodying the linkage between economic systems and environmental and natural resources systems or (2) be of substantial importance in understanding the management and/or social control of the economy in its relations with the natural environment. Although the general orientation of the journal is toward economics, interdisciplinary papers by researchers in other fields of interest to resource and environmental economists will be welcomed.
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