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Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt

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Abstract

In this study, carbon emissions from agricultural energy consumption (CEAEC) are fully analyzed using data from the Yangtze River Economic Belt (YEB) between 2000 and 2017. First, generalized LMDI is adopted to decompose the drivers of CEAEC into five components. Then, the decoupling indicator and the decoupling effort indicator are constructed to quantify the decoupling degrees and examine the government's emission reduction efforts, respectively. The results show that (1) CEAEC in the YEB has shown a phased increase, reaching a peak at 1732.25104t in 2012. Except for some decreases found in Shanghai, Chongqing, and Guizhou, it is shown that all provinces' CEAEC have risen to varying degrees. In contrast, the intensity of CEAEC in the YEB has been declining since 2005. (2) The economic output effect acts as the major contributor to the growth of CEAEC, followed by the population effect. In contrast, both the energy intensity effect and the energy structure effect are the primary reasons for reductions in CEAEC. The spatial difference in CEAEC in the YEB increased significantly from 2000 to 2017. (3) There was an alternating change from decoupling to coupling and then to negative decoupling from 2000 to 2017. Based on the conclusions mentioned above, it is proposed that the formulation of low-carbon agricultural development strategies should consider the structural adjustment of agricultural energy consumption and the advancements of agricultural technology.

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Acknowledgements

Funding was provided by National Natural Science Foundation of China (Grant No. 71704068).

Funding

The financial assistance provided by the National Natural Science Foundation of China (71704068; 72174076; 71774071); MOE (Ministry of Education in China) Project of Humanities and Social Sciences (21YJCZH139); National Key Research and Development Project of China (2017YFC0404600); the China Postdoctoral Science Foundation (2017M621621); National Statistical Science Research Project (2021LY055); Jiangsu Soft Science Research Project (BR2021030); Zhenjiang Soft Science Research Project (RK2021010); the Academic Research Project of Jiaxing University (ICCPR2021007), and Key Research Base of Universities in Jiangsu Province for Philosophy and Social Science “Research Center for Green Development and Environmental Governance” is highly appreciated by researchers of this study. The views and opinions expressed in this article are those of the authors and do not necessarily reflect the views of the funding agencies.

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Contributions

DS and SC contributed to conceptualization. JG contributed to methodology, CZ to software, XY to validation, and ZC and HS to formal analysis. DS and SC carried out investigation, and SC performed data curation. JG and XY contributed to writing—original draft preparation. All authors have read and agreed to the published version of the manuscript.

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Correspondence to Huaping Sun.

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Sun, D., Cai, S., Yuan, X. et al. Decomposition and decoupling analysis of carbon emissions from agricultural economic growth in China's Yangtze River economic belt. Environ Geochem Health 44, 2987–3006 (2022). https://doi.org/10.1007/s10653-021-01163-y

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  • DOI: https://doi.org/10.1007/s10653-021-01163-y

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