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Dynamic Evolution of Regional Discrepancies in Carbon Emissions from Agricultural Land Utilization: Evidence from Chinese Provincial Data

Author

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  • Xinhai Lu

    (College of Public Administration, Central China Normal University, Wuhan 430079, China
    College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Bing Kuang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jing Li

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Jing Han

    (College of Public Administration, Central China Normal University, Wuhan 430079, China)

  • Zuo Zhang

    (College of Public Administration, Central China Normal University, Wuhan 430079, China)

Abstract

Agricultural land, as an important carbon source, has produced about 20% of carbon dioxide globally. The calculation and spatial-temporal distribution of carbon emissions resulting from agricultural land utilization (ALU) has attracted a great deal of attention from scholars. Most of the existing literature widely agrees that China’s carbon emissions from ALU showed significant regional discrepancies, but rarely pays attention to the evolutionary characteristics of the discrepancies. This study calculated the total carbon emissions from ALU based on six kinds of carbon emissions sources in the 31 provinces of mainland China, which showed obviously different characteristics in terms of their abundances of agricultural land resources, relative scarcities of production factors, levels of science and technology and economic prosperity. We then analyzed the evolutionary process and characteristics of regional discrepancies in carbon emissions from ALU at the national level and regional level with the method of kernel density estimation. The key results demonstrated the following: (1) The carbon emissions from ALU in the whole country and the eastern, central and western regions of China have increased sharply during the study period. From 2000 to 2015, the carbon emissions from ALU in the whole of China, the eastern region, central region, and western region were increased by 2626.11 (10 4 tons), 441.32 (10 4 tons), 1054.45 (10 4 tons), and 1130.3 (10 4 tons), respectively, with an average annual growth rate of 2.75%, 1.29%, 3%, and 4.35%, respectively; (2) The scale of carbon emissions from ALU showed significant spatial disparities at the regional and inter-provincial levels. From 2000 to 2015, the central region had the highest carbon emissions from ALU, while the eastern and western regions had the second and third highest carbon emissions; (3) The distribution curves of carbon emissions from ALU in the whole country and each region all moved in the right direction gradually during the study period, and the width of the curves increased, indicating the regional discrepancies of carbon emissions from ALU was expanding at different spatial scales. Distribution curves of carbon emissions from ALU in the eastern, central and western regions all showed a “multi-polar” differentiation phenomenon in 2000, while presented a “tri-polar”, “bipolar” and “multi-polar” division in 2015, respectively.

Suggested Citation

  • Xinhai Lu & Bing Kuang & Jing Li & Jing Han & Zuo Zhang, 2018. "Dynamic Evolution of Regional Discrepancies in Carbon Emissions from Agricultural Land Utilization: Evidence from Chinese Provincial Data," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:552-:d:132654
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    References listed on IDEAS

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    1. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    2. Hualin Xie & Wei Wang, 2015. "Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model," Sustainability, MDPI, vol. 7(8), pages 1-20, July.
    3. Feng, Tian-tian & Yang, Yi-sheng & Xie, Shi-yan & Dong, Jun & Ding, Luo, 2017. "Economic drivers of greenhouse gas emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 996-1006.
    4. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    5. Chuanhe Xiong & Degang Yang & Jinwei Huo, 2016. "Spatial-Temporal Characteristics and LMDI-Based Impact Factor Decomposition of Agricultural Carbon Emissions in Hotan Prefecture, China," Sustainability, MDPI, vol. 8(3), pages 1-14, March.
    6. Lau, Lawrence J. & Zheng, Huanhuan, 2017. "How much slack was there in the Chinese economy prior to its economic reform of 1978?," China Economic Review, Elsevier, vol. 45(C), pages 124-142.
    7. Feng Xu & Nan Xiang & Jingjing Yan & Lujun Chen & Peter Nijkamp & Yoshiro Higano, 2015. "Dynamic simulation of China’s carbon emission reduction potential by 2020," Letters in Spatial and Resource Sciences, Springer, vol. 8(1), pages 15-27, March.
    8. Anping Chen & Nicolaas Groenewold, 2011. "Regional Equality and National Development in China: Is There a Trade‐Off?," Growth and Change, Wiley Blackwell, vol. 42(4), pages 628-669, December.
    9. Breetz, Hanna L., 2017. "Regulating carbon emissions from indirect land use change (ILUC): U.S. and California case studies," Environmental Science & Policy, Elsevier, vol. 77(C), pages 25-31.
    10. Richard V. Burkhauser & Ludmila Rovba, 2006. "Income Inequality in the 1990s: Comparing the United States, Great Britain and Germany," Discussion Papers of DIW Berlin 576, DIW Berlin, German Institute for Economic Research.
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    17. Hongpeng Guo & Boqun Fan & Chulin Pan, 2021. "Study on Mechanisms Underlying Changes in Agricultural Carbon Emissions: A Case in Jilin Province, China, 1998–2018," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
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