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Marginal abatement cost of agricultural carbon emissions in China: 1993-2015

Author

Listed:
  • Xianrong Wu
  • Junbiao Zhang
  • Liangzhi You

Abstract

Purpose - The purpose of this paper is to estimate shadow prices of agricultural carbon emissions produced by agricultural inputs, rice paddy and burning crop residue, and to explore the impact of cropping pattern on marginal abatement cost (MAC). Design/methodology/approach - The shadow price of agricultural carbon emissions is estimated by applying directional distance function and non-parametric methods. Findings - The estimated shadow price of agricultural carbon emissions ranges from 6.78 to 557.83 yuan/ton, and the average value is 62.50 yuan/ton (or $10.18/ton). The MAC value varies in different provinces and years. The regional difference of MAC shows a decreasing trend during the investigation period. Cropping pattern shows a significant negative impact on agricultural MAC. A 1 percent decrease of rice proportion leads to a 0.31 percent increase in MAC value. This implies that the higher the proportion of rice is, the lower the economic cost to reduce agricultural carbon emissions would be. Practical implications - It is feasible to draw up appropriate mechanisms for the allocation of emission reduction responsibilities according to conditions in various regions, with emphasis on the local cropping patterns. There is a trade-off between reducing carbon emission and increasing crop yields. Originality/value - This study calculates agricultural MAC by using the shadow price approach, taking agricultural carbon emissions as undesired environmental output. The study also provides a reference emission right price and provides guidance to make use of cropping structure adjustment and optimization for exploring the emission reduction strategy.

Suggested Citation

  • Xianrong Wu & Junbiao Zhang & Liangzhi You, 2018. "Marginal abatement cost of agricultural carbon emissions in China: 1993-2015," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 10(4), pages 558-571, July.
  • Handle: RePEc:eme:caerpp:caer-04-2017-0063
    DOI: 10.1108/CAER-04-2017-0063
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    Citations

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    Cited by:

    1. Yan Wang & Lingling Zuo & Shujing Qian, 2022. "Green-Biased Technical Change and Its Influencing Factors of Agriculture Industry: Empirical Evidence at the Provincial Level in China," IJERPH, MDPI, vol. 19(23), pages 1-24, December.
    2. Shibin Wen & Yuxiang Hu & Hongman Liu, 2022. "Measurement and Spatial–Temporal Characteristics of Agricultural Carbon Emission in China: An Internal Structural Perspective," Agriculture, MDPI, vol. 12(11), pages 1-16, October.
    3. Qunli Wu & Shuting Gu, 2021. "Exploring the focus of future CO2 emission reduction in China's industrial sectors," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(4), pages 682-696, August.
    4. Dai, Xiao-wen & Sun, Zhanli & Müller, Daniel, 2021. "Driving factors of direct greenhouse gas emissions from China’s pig industry from 1976 to 2016," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 20(1), pages 319-329.
    5. Yun Tian & Rui Wang & Minhao Yin & Huijie Zhang, 2023. "Study on the Measurement and Influencing Factors of Rural Energy Carbon Emission Efficiency in China: Evidence Using the Provincial Panel Data," Agriculture, MDPI, vol. 13(2), pages 1-16, February.

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