4.7 Article

Scaling up pro-environmental agricultural practice using agglomeration payments: Proof of concept from an agent-based model

期刊

ECOLOGICAL ECONOMICS
卷 126, 期 -, 页码 32-41

出版社

ELSEVIER
DOI: 10.1016/j.ecolecon.2016.03.002

关键词

Agent-based model; Conservation agriculture; Malawi; Adoption; Pro-environmental practice; Agglomeration payment

资金

  1. NERC [NE/L001624/1]
  2. Ecosystem Services for Poverty Alleviation (ESPA) program
  3. Department for International Development (DFID)
  4. Economic and Social Research Council (ESRC)
  5. Natural Environment Research Council (NERC) - US Agency for International Development (USAID)
  6. NERC [NE/L001624/1, NE/L001381/1] Funding Source: UKRI
  7. Natural Environment Research Council [NE/L001381/1, NE/L001624/1] Funding Source: researchfish

向作者/读者索取更多资源

Rates of adoption of pro-environmental practices in agriculture in many parts of the world are low. In some cases, this is attributable to the private costs borne by farmers to adopt these practices, often well in advance of any benefits - public or private- that they may bring. Monetary incentives, such as through payments-for-ecosystem services (PES) programs, may be of assistance, and in this study we examine the potential for a recent innovation (the agglomeration payment) to improve adoption of pro-environmental practice in a rural agricultural context. Agglomeration payments include bonus payments for adoption by neighboring farms, which may help to encourage both compliance with the program they promote as well as the overall diffusion of the program across rural contexts. We develop an abstract agent-based model (ABM) of an agglomeration payment program to encourage adoption of the pro-environment practice of conservation agriculture (CA). We find that agglomeration payments have the potential to improve levels of adoption of pro-environmental practice per program dollar, and may help to reduce required spending on project monitoring and enforcement. (C) 2016 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据