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Production efficiency and GHG emissions reduction potential evaluation in the crop production system based on emergy synthesis and nonseparable undesirable output DEA: A case study in Zhejiang Province China

机译：基于能值合成和不可分离的不良产出DEA的作物生产系统生产效率和温室气体减排潜力评估：以浙江省为例

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摘要

Maintaining crop outputs to feed its large population with limited resources while simultaneously mitigating carbon emissions are great challenges for China. Improving the efficiency of resource use in crop production is important in reducing carbon emissions. This paper constructs a methodological framework combining emergy-based indicator accounting and a nonseparable undesirable output slack-based measurement (SBM) data envelopment analysis (DEA) model. This framework is used to explore the efficiency of inputs and outputs and the greenhouse gas (GHG) emissions reduction potential for crop production systems, using Zhejiang province, China, as a case study. It is found that an emergy synthesis and a nonseparable undesirable output SBM-DEA framework is compatible with the case study. Crop production in Zhejiang province has relied heavily on an increase in agrochemical inputs to maintain agricultural output. Energy and chemical fertilizer use are determined as the province’s major carbon emissions sources. Although carbon emissions per unit of monetary output has decreased sharply, the carbon emissions per unit emergy output has increased, demonstrating a high carbon intensity reality. The DEA highlighted the differences in crop production efficiency, resource factor redundancy and carbon mitigation potential in the different prefectures of the province. To conclude this research, policies to support low carbon agriculture development, including subsidizing low carbon agriculture technology development and expansion and the cancellation of subsidies to high carbon production factors, such as chemical fertilizer production and sales, are discussed to conclude the research.
机译：保持作物产量以有限的资源养活广大人口，同时减少碳排放量，对中国来说是巨大的挑战。提高作物生产中的资源利用效率对减少碳排放非常重要。本文构建了一种基于能值的指标核算与不可分的不期望的基于产出松弛的度量（SBM）数据包络分析（DEA）模型相结合的方法框架。以中国浙江省为例，该框架用于探索投入产出的效率以及作物生产系统的温室气体（GHG）减排潜力。发现能值合成和不可分离的不良输出SBM-DEA框架与案例研究兼容。浙江省的作物生产在很大程度上依靠增加农用化学品的投入来维持农业产量。能源和化肥的使用被确定为该省的主要碳排放源。尽管单位货币产出的碳排放量急剧减少，但单位能值产出的碳排放量却增加了，这表明了高碳强度的现实。 DEA强调了该省不同州在作物生产效率，资源要素冗余和碳减排潜力方面的差异。为完成这项研究，讨论了支持低碳农业发展的政策，包括补贴低碳农业技术的发展和扩展以及取消对高碳生产要素（例如化肥的生产和销售）的补贴。

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    Gang Dong; Zhengzao Wang; Xianqiang Mao;

  • 作者单位
  • 年(卷),期 -1(13),11
  • 年度 -1
  • 页码 e0206680
  • 总页数 20
  • 原文格式 PDF
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