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Real Drivers and Spatial Characteristics of CO 2 Emissions from Animal Husbandry: A Regional Empirical Study of China

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  • Xiaowen Dai

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Xin Wu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Yi Chen

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Yanqiu He

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Fang Wang

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

  • Yuying Liu

    (College of Management, Sichuan Agricultural University, Chengdu 611130, China)

Abstract

(1) Studying the driving factors and spatiotemporal characteristics of China’s regional animal husbandry emissions is highly relevant to policy formulation. (2) Methods: We calculated the total CO 2 equivalent emissions of animal husbandry across the country and each province separately, and then used the Logarithmic Mean Divisia Index (LMDI) to analyze how the driving forces of animal husbandry emissions changed across the country and in different provinces from 2001 to 2019. (3) Results: ① During the period 2001–2019, national animal husbandry carbon emissions showed an overall downward trend. Economic growth and population contributed positively to the emissions (which means more CO 2 ), while technological advancement, structural change in agriculture, and change in the national industrial structure had negative effects (which means less CO 2 ). ② Using aspects of provincial animal husbandry, we categorized 31 provinces into four types: fluctuating rising, fast falling, slow falling, and steadily falling. Then, according to the magnitude of the different driving forces in different provinces, we classified 31 provinces into three types: economic structure adjustment-driven, technological progress-driven, and economic growth-driven. ③ The driving effects of agricultural structural change and population in some provinces are not consistent with the effects shown at the national level.

Suggested Citation

  • Xiaowen Dai & Xin Wu & Yi Chen & Yanqiu He & Fang Wang & Yuying Liu, 2022. "Real Drivers and Spatial Characteristics of CO 2 Emissions from Animal Husbandry: A Regional Empirical Study of China," Agriculture, MDPI, vol. 12(4), pages 1-18, April.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:4:p:510-:d:786886
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    as
    1. You, Wanhai & Lv, Zhike, 2018. "Spillover effects of economic globalization on CO2 emissions: A spatial panel approach," Energy Economics, Elsevier, vol. 73(C), pages 248-257.
    2. Fergus Green & Nicholas Stern, 2017. "China's changing economy: implications for its carbon dioxide emissions," Climate Policy, Taylor & Francis Journals, vol. 17(4), pages 423-442, May.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Christoph Müller & Richard D. Robertson, 2014. "Projecting future crop productivity for global economic modeling," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 37-50, January.
    5. Berhanu, Yonas & Angassa, Ayana & Aune, Jens B., 2021. "A system analysis to assess the effect of low-cost agricultural technologies on productivity, income and GHG emissions in mixed farming systems in southern Ethiopia," Agricultural Systems, Elsevier, vol. 187(C).
    6. Li, Li & Hong, Xuefei & Peng, Ke, 2019. "A spatial panel analysis of carbon emissions, economic growth and high-technology industry in China," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 83-92.
    7. Agras, Jean & Chapman, Duane, 1999. "A dynamic approach to the Environmental Kuznets Curve hypothesis," Ecological Economics, Elsevier, vol. 28(2), pages 267-277, February.
    8. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    9. James Chege Wangui & Paul R. Kenyon & Peter R. Tozer & James P. Millner & Sarah J. Pain, 2021. "Bioeconomic Modelling to Assess the Impacts of Using Native Shrubs on the Marginal Portions of the Sheep and Beef Hill Country Farms in New Zealand," Agriculture, MDPI, vol. 11(10), pages 1-21, October.
    10. Heena Panchasara & Nahidul Hoque Samrat & Nahina Islam, 2021. "Greenhouse Gas Emissions Trends and Mitigation Measures in Australian Agriculture Sector—A Review," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    11. Ge, Suqin & Yang, Dennis Tao & Zhang, Junsen, 2018. "Population policies, demographic structural changes, and the Chinese household saving puzzle," European Economic Review, Elsevier, vol. 101(C), pages 181-209.
    12. Giuseppe Todde & Maria Caria & Filippo Gambella & Antonio Pazzona, 2017. "Energy and Carbon Impact of Precision Livestock Farming Technologies Implementation in the Milk Chain: From Dairy Farm to Cheese Factory," Agriculture, MDPI, vol. 7(10), pages 1-11, September.
    13. Sanjutha Shanmugam & Ram C. Dalal & Hans Joosten & R. J. Raison & Goh Kah Joo, 2018. "SOC Stock Changes and Greenhouse Gas Emissions Following Tropical Land Use Conversions to Plantation Crops on Mineral Soils, with a Special Focus on Oil Palm and Rubber Plantations," Agriculture, MDPI, vol. 8(9), pages 1-17, September.
    14. Robert H. Beach & Benjamin J. DeAngelo & Steven Rose & Changsheng Li & William Salas & Stephen J. DelGrosso, 2008. "Mitigation potential and costs for global agricultural greenhouse gas emissions-super-1," Agricultural Economics, International Association of Agricultural Economists, vol. 38(2), pages 109-115, March.
    15. Tapio, Petri, 2005. "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001," Transport Policy, Elsevier, vol. 12(2), pages 137-151, March.
    16. Wang, Feng & Wei, Xianjin & Liu, Juan & He, Lingyun & Gao, Mengnan, 2019. "Impact of high-speed rail on population mobility and urbanisation: A case study on Yangtze River Delta urban agglomeration, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 99-114.
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    1. Shixiong Song & Siyuan Zhao & Ye Zhang & Yongxi Ma, 2023. "Carbon Emissions from Agricultural Inputs in China over the Past Three Decades," Agriculture, MDPI, vol. 13(5), pages 1-12, April.

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