CONTEXT

Climate change mitigation in the agricultural sector is a key policy goal. Marginal abatement cost curves allow comparing the cost-effectiveness of agricultural greenhouse gas mitigation measures. Existing studies often do not account for the heterogeneity of farms and interactions between mitigation measures.

OBJECTIVE

The objective of this study is to present a new approach that allows the calculation of a marginal abatement cost curve that considers farm level interaction effects of climate change mitigation measures. We assess the influence of farm structural heterogeneity on the greenhouse gas abatement potential and the corresponding abatement costs when measures are implemented jointly on the farm level.

METHODS

We use the bio-economic farm model FarmDyn to simulate farm-specific abatement potential and mitigation costs for a set of mixed dairy farms in a Swiss case study region (n = 66) and develop an approach to calculate a bottom-up, marginal abatement cost curve based on our sample of farms. Simulation results are used to identify and quantify the effect of heterogeneous farm structures (e.g., size, land use, etc.) on the interactions of climate change mitigation measures using regression analysis.

RESULTS AND CONCLUSIONS

In our study, interaction effects reduce marginal abatement costs by 7% and the overall greenhouse gas abatement potential by 3% compared to a stand-alone consideration of four climate change mitigation measures. Our analysis of how the underlying farm structures affect interaction effects between climate change mitigation measures shows that complex processes on the farm level can have ambiguous effects (i.e., increasing or decreasing greenhouse gas emissions). We conclude that our approach can provide important knowledge about how heterogeneity affects marginal abatement costs when mitigation measures interact with each other.

SIGNIFICANCE

Knowledge about the effectiveness and efficiency of climate change mitigation measures and their interaction effects improves our understanding and development of bottom-up marginal abatement cost curves, which represent an important and widely used tool to inform policymakers and stakeholders on cost-efficient and cost-effective climate change mitigation in agriculture.

中文翻译：

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考虑农场异质性和相互作用影响的瑞士乳制品生产边际气候变化减排成本

语境

农业部门减缓气候变化是一个关键的政策目标。边际减排成本曲线允许比较农业温室气体减排措施的成本效益。现有研究通常不考虑农场的异质性和缓解措施之间的相互作用。

客观的

本研究的目的是提出一种新方法，允许计算边际减排成本曲线，该曲线考虑了气候变化缓解措施在农场层面的相互作用影响。我们评估了农场结构异质性对温室气体减排潜力的影响，以及在农场层面联合实施措施时相应的减排成本。

方法

我们使用生物经济农场模型 FarmDyn 来模拟瑞士案例研究区域（ n = 66）中一组混合奶牛场的农场特定减排潜力和缓解成本，并开发一种方法来计算自下而上的边际 减排基于我们农场样本的成本曲线。模拟结果用于识别和量化异构农场结构（例如，规模、土地利用等）对使用回归分析的气候变化缓解措施的相互作用的影响。

结果和结论

在我们的研究中，与单独考虑四种气候变化减缓措施相比，相互作用效应将边际减排成本降低了 7%，将整体温室气体减排潜力降低了 3%。我们对基础农场结构如何影响气候变化缓解措施之间的相互作用的分析表明，农场层面的复杂过程可能会产生模棱两可的影响（即增加或减少温室气体排放）。我们的结论是，我们的方法可以提供有关当缓解措施相互作用时异质性如何影响边际减排成本的重要知识。

意义

关于气候变化缓解措施的有效性和效率及其相互作用的知识提高了我们对自下而上的边际减排成本曲线的理解和发展，这是一种重要且广泛使用的工具，可让决策者和利益相关者了解成本效益和成本效益农业减缓气候变化。