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Study on Mechanisms Underlying Changes in Agricultural Carbon Emissions: A Case in Jilin Province, China, 1998–2018

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  • Hongpeng Guo

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

  • Boqun Fan

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

  • Chulin Pan

    (College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130022, China)

Abstract

Reducing agricultural carbon emissions (ACE) is a key point to achieve green and sustainable development in agriculture. Based on the ACE statistics of Jilin Province in China from 1998 to 2018, this article considers the sources of ACE in depth, and fourteen different carbon sources are selected to calculate ACE. Besides, the paper explores the variation characteristics of ACE in Jilin Province, their structure, and the relationship between the intensity and density of the dynamic changes in ACE in the province in terms of time. Finally, this paper uses the Kaya identity and logarithmic mean Divisia index (LMDI) to analyze the influential factors in ACE. The results show the following: (1) During 1998–2018, the amount of ACE in Jilin Province increased, with an average annual growth rate of 1.13%. However, the chain growth rate has been negative in recent years, which reflects that carbon emission reduction has been achieved to a certain extent. (2) The characteristics of ACE in Jilin Province during the years is that of the low-intensity, high density category. Furthermore, agricultural resource input is the main source of the planting industry’s carbon emissions. From the perspective of animal husbandry, the proportion of CH 4 decreased, while the proportion of N 2 O is relatively stable. (3) Based on the LMDI decomposition model, production efficiency, industrial structure, and labor are the three main factors that reduce ACE in Jilin Province. The economic level is the main factor of ACE, and it will be the most important factor leading to an increase in ACE in the short term. On the basis of comprehensive analysis, this article puts forward reasonable suggestions in terms of policy improvement, production mode and industrial structure adjustment, technological innovation, and talent introduction.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:919-:d:484644
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    1. Hui Peng & Yifan Wang & Yisha Hu & Hong Shen, 2020. "Agglomeration Production, Industry Association and Carbon Emission Performance: Based on Spatial Analysis," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    2. Guofeng Wang & Maolin Liao & Jie Jiang, 2020. "Research on Agricultural Carbon Emissions and Regional Carbon Emissions Reduction Strategies in China," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    3. Hong Qiu & Genhua Hu & Yuhong Yang & Jeffrey Zhang & Ting Zhang, 2020. "Modeling the Risk of Extreme Value Dependence in Chinese Regional Carbon Emission Markets," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    4. Jiancheng Qin & Hui Tao & Chinhsien Cheng & Karthikeyan Brindha & Minjin Zhan & Jianli Ding & Guijin Mu, 2020. "Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    5. Qi Zhang & Jing Xiao & Jianhui Xue & Lang Zhang, 2020. "Quantifying the Effects of Biochar Application on Greenhouse Gas Emissions from Agricultural Soils: A Global Meta-Analysis," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    6. Jianzheng Li & Zhongkui Luo & Yingchun Wang & Hu Li & Hongtao Xing & Ligang Wang & Enli Wang & Hui Xu & Chunyu Gao & Tianzhi Ren, 2019. "Optimizing Nitrogen and Residue Management to Reduce GHG Emissions while Maintaining Crop Yield: A Case Study in a Mono-Cropping System of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    7. Silvia CODERONI & Roberto ESPOSTI, 2011. "Is there a Long-Term Relationship between Agricultural GHG Emissions and Productivity Growth? The Case of Italian Agriculture," Working Papers 369, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Chuanhe Xiong & Shuang Chen & Liting Xu, 2020. "Driving factors analysis of agricultural carbon emissions based on extended STIRPAT model of Jiangsu Province, China," Growth and Change, Wiley Blackwell, vol. 51(3), pages 1401-1416, September.
    9. 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.
    10. Yihui Chen & Minjie Li & Kai Su & Xiaoyong Li, 2019. "Spatial-Temporal Characteristics of the Driving Factors of Agricultural Carbon Emissions: Empirical Evidence from Fujian, China," Energies, MDPI, vol. 12(16), pages 1-23, August.
    11. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    12. Pengyan Zhang & Jianjian He & Xin Hong & Wei Zhang & Chengzhe Qin & Bo Pang & Yanyan Li & Yu Liu, 2017. "Regional-Level Carbon Emissions Modelling and Scenario Analysis: A STIRPAT Case Study in Henan Province, China," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
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