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Estimation of Greenhouse Gas Emissions and Analysis of Driving Factors in Jiangxi Province’s Livestock Industry from a Life Cycle Perspective

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  • Xingyue Chen

    (School of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Qifeng Che

    (School of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Guoxiong Chen

    (Xinggan County Agricultural Industry Development Center, Ji’an 331300, China)

  • Tingting Hu

    (School of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Jing Zhang

    (School of Earth Sciences, East China University of Technology, Nanchang 330013, China)

  • Qihong Tu

    (School of Earth Sciences, East China University of Technology, Nanchang 330013, China)

Abstract

As a significant source of greenhouse gas emissions, objectively understanding the quantity of emissions from the livestock industry and their spatiotemporal evolution is crucial for advancing low-carbon and green development in regional livestock industries. Therefore, based on the Life Cycle Assessment (LCA) method, this study estimated greenhouse gas emissions from the livestock industry across 11 municipal regions in Jiangxi Province from 2002 to 2022, revealing the spatiotemporal characteristics of these emissions. The study also employed the Logarithmic Mean Divisia Index (LMDI) model to analyze the influencing factors. The results showed that (1) between 2002 and 2022, total greenhouse gas emissions from Jiangxi Province’s livestock industry exhibited an upward trend, increasing from 13.52 million tons to 21.27 million tons, with an average annual growth rate of 2.36%. (2) During the study period, the spatial patterns of super-high-emission and light-emission zones remained relatively stable, while medium and heavy emission zones showed dynamic evolution. (3) Intensity effects, agricultural structural effects, and rural population size played a suppressive role in livestock greenhouse gas emissions, while regional development levels and urbanization levels were key drivers of increased emissions. Therefore, governments should accelerate the implementation of clean production models, enhance technological innovation, promote pollution reduction at the source, and develop differentiated livestock development strategies based on regional resource endowments and demographic–economic characteristics.

Suggested Citation

  • Xingyue Chen & Qifeng Che & Guoxiong Chen & Tingting Hu & Jing Zhang & Qihong Tu, 2025. "Estimation of Greenhouse Gas Emissions and Analysis of Driving Factors in Jiangxi Province’s Livestock Industry from a Life Cycle Perspective," Sustainability, MDPI, vol. 17(5), pages 1-23, February.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:5:p:2108-:d:1602435
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    References listed on IDEAS

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    1. Stefan Frank & Petr Havlík & Elke Stehfest & Hans Meijl & Peter Witzke & Ignacio Pérez-Domínguez & Michiel Dijk & Jonathan C. Doelman & Thomas Fellmann & Jason F. L. Koopman & Andrzej Tabeau & Hugo Va, 2019. "Agricultural non-CO2 emission reduction potential in the context of the 1.5 °C target," Nature Climate Change, Nature, vol. 9(1), pages 66-72, January.
    2. Zemin Li & Qihang Wei & Xiayan Liu & Rongsheng Zhu & Cuilan Li & Zhaojun Li, 2024. "The Emission Characteristics of Greenhouse Gases from Animal Husbandry in Shandong Province Based on Life Cycle Assessment," Sustainability, MDPI, vol. 16(4), pages 1-15, February.
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