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Land-use spillovers from environmental policy interventions

心理干预 环境政策 环境规划 自然资源经济学 业务 环境资源管理 环境科学 经济 医学 护理部
作者
Diana Ramírez-Mejía,Yves Zinngrebe,Erle C. Ellis,Peter H. Verburg
出处
期刊:Global Environmental Change-human and Policy Dimensions [Elsevier BV]
卷期号:92: 103013-103013 被引量:6
标识
DOI:10.1016/j.gloenvcha.2025.103013
摘要

Environmental policy interventions are crucial for addressing biodiversity loss and climate change, yet their effectiveness can be compromised by land-use spillovers, where efforts to reduce impacts in one place displace them elsewhere. Despite growing recognition of spillovers, they remain unevenly defined, inconsistently measured, and poorly integrated into policy evaluation and accountability frameworks. This systematic review synthesizes current research on land-use spillovers triggered by environmental policies, including carbon pricing, protected areas, supply chain interventions, and payments for ecosystem services. We identify three dominant pathways: leakage, indirect land use change (iLUC), and positive spillovers, emerging under common conditions such as weak enforcement, market integration, limited livelihood alternatives, and accessible frontier lands. These conditions are shaped by broader institutional, economic, demographic, and biophysical drivers, yet are rarely integrated into policy design and evaluation. While methods to evaluate spillover effects range from global scale ex ante models to local ex post spatial and econometric analyses, few studies bridge scales or connect findings to international policy frameworks such as the Convention on Biological Diversity (CBD) or the United Nations Framework Convention on Climate Change (UNFCCC). Cases are concentrated in climate-linked interventions and in South America, leaving important geographic and sectoral blind spots. This limits their relevance for designing policies that minimize displaced impacts and foster more durable outcomes. Advancing spillover research will require common frameworks, more consistent methodologies, and multi-scale tools that can enhance comparability, attribution, and integration into environmental governance.
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