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Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province

Author

Listed:
  • Pengnan Xiao

    (College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yuan Zhang

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Peng Qian

    (Department of Economics, Party School of Henan Provincial Committee of C.P.C., Zhengzhou 451464, China)

  • Mengyao Lu

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Zupeng Yu

    (School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China)

  • Jie Xu

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Chong Zhao

    (School of Chemistry and Environmental Engineering, Wuhan Polytechnic University, Wuhan 430040, China)

  • Huilin Qian

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

The carbon emission level and spatiotemporal characteristics in Hubei Province were estimated and studied using the Intergovernmental Panel on Climate Change (IPCC) carbon emission coefficient technique based on county data from Hubei Province from 2000 to 2020. The relationship between carbon emissions from cultivated land utilization and agricultural economic growth was examined using the Tapio decoupling index, and the factors influencing carbon emissions in Hubei Province were further examined using the Logarithmic Mean Divisia Index (LMDI model). The results demonstrate that: (1) Spatiotemporal variations in carbon emissions are evident. In terms of time, the volume of carbon emissions in Hubei Province is still substantial, and the transition to low-carbon land use is quite gradual. Geographically, the high-value region of the middle east coexists with the low-value zone of the west, with apparent regional contrasts. (2) The decoupling between carbon emissions and agricultural economic growth is becoming more and more obvious in Hubei Province. The number of counties and cities in a negative decoupling state has significantly decreased, and the majority of counties are now in a strong decoupling condition. (3) Agricultural production efficiency is the most significant driving factor for restricting carbon emission, according to the decomposition results of carbon emission driving factors based on the LMDI model. In addition, the results of sample decomposition based on topographic characteristics indicate that agricultural production efficiency is primarily responsible for the suppression of carbon emissions in flat regions. The increase in carbon emissions in hilly regions is primarily influenced by agricultural productivity. The increase in carbon emissions in mountainous regions is mostly influenced by agricultural labor intensity. This study′s finding has enlightening implications for the high-quality growth of agriculture.

Suggested Citation

  • Pengnan Xiao & Yuan Zhang & Peng Qian & Mengyao Lu & Zupeng Yu & Jie Xu & Chong Zhao & Huilin Qian, 2022. "Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province," IJERPH, MDPI, vol. 19(15), pages 1-32, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9326-:d:876176
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    References listed on IDEAS

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    4. Luhao Jia & Mingya Wang & Shili Yang & Fan Zhang & Yidong Wang & Penghao Li & Wanqi Ma & Shaobo Sui & Tong Liu & Mingshi Wang, 2024. "Analysis of Agricultural Carbon Emissions and Carbon Sinks in the Yellow River Basin Based on LMDI and Tapio Decoupling Models," Sustainability, MDPI, vol. 16(1), pages 1-26, January.
    5. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
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    7. Yujie Liu & Jie Xu & Yong Zhou & Amat Muhtar & Li Wang, 2022. "Spatiotemporal Differentiation of the Coupling and Coordination of Production-Living-Ecology Functions in Hubei Province Based on the Global Entropy Value Method," IJERPH, MDPI, vol. 19(23), pages 1-27, November.

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