Cost-effectiveness of farm- vs. regional-level climate change mitigation policies

Q open Pub Date : 2023-10-06 DOI:10.1093/qopen/qoad022
Marta Tarruella, Robert Huber, Gabriele Mack, Nadja El Benni, Robert Finger
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引用次数: 0

Abstract

Abstract Agriculture is a significant source of global greenhouse gas (GHG) emissions, making reduction targets crucially needed. Worldwide, countries have set agricultural GHG reduction goals and discussed methods to reach them. A crucial aspect is, whether the policy target level is set at the individual farm or at a regional level. In this context, we assess the advantages regarding cost-effectiveness and GHG-reduction potential of targets at the regional level. First, we use the bioeconomic farm-level model FarmDyn to simulate the changes in income and GHG emissions of 65 Swiss dairy farms. Secondly, we develop an optimization algorithm to compare the efficiency and efficacy of these two target approaches. Our analysis reveals that regional targets, which consider the heterogenous abatement costs of the sector, are more cost-efficient than farm-level ones. Specifically, they enable a 10 per cent GHG reduction at 88 per cent lower costs, suggesting they might be a more cost-effective alternative to taxation.
农场一级与区域一级减缓气候变化政策的成本效益
农业是全球温室气体(GHG)排放的重要来源,因此制定减排目标至关重要。在世界范围内,各国制定了农业温室气体减排目标,并讨论了实现这些目标的方法。一个关键的方面是,政策目标水平是在个别农场还是在区域一级确定的。在此背景下,我们评估了区域一级目标在成本效益和温室气体减排潜力方面的优势。首先,我们使用农场层面的生物经济模型FarmDyn来模拟65家瑞士奶牛场的收入和温室气体排放的变化。其次,我们开发了一种优化算法来比较这两种目标方法的效率和效果。我们的分析表明,考虑该部门异质性减排成本的区域目标比农场层面的目标更具成本效益。具体来说,它们能够以低88%的成本减少10%的温室气体排放,这表明它们可能是比税收更具成本效益的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.10
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