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Regional difference decomposition and its spatiotemporal dynamic evolution of Chinese agricultural carbon emission: considering carbon sink effect

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Abstract

The current study aims to analyze the regional differences and spatiotemporal dynamic evolution of carbon emission intensity (CEI) and carbon emission per capita (CEPC) of planting industry with consideration of carbon sink effect. The results indicate that: (i) The CEI and CEPC of China’s planting industry present significant non-equilibrium distribution characteristic during the investigate period, provinces with high CEI are mainly distributed in major agricultural provinces, while high CEPC provinces are mainly located in northeast and individual central provinces with large planting industry. (ii) Inter-regional difference is the principal course of the total differences, the CEI Theil index demonstrates gradient decreasing pattern of “western > central > eastern > northeast,” the contribution rate of CEI Theil index shows “northeast > eastern > central > western,” the CEPC Theil index shows the spatial pattern of “northeast > central > western > eastern,” and the contribution rate of CEPC Theil index presents the spatial pattern of “eastern > central > western > northeast.” (iii) The dynamic evolution of CEI and CEPC curve presents polarization or multipolar differential phenomenon accompanies with distinct gradient characteristics, the regional difference of agglomeration level in CEI is gradually narrowing, while the CEPC gradually expanding and the dispersion level is increasing, which implies the “intra-regional convergence and inter-regional divergence.” Consequently, differential carbon reduction policies have been put forward according to the study findings.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. http://www.gov.cn/xinwen/2018-11/27/content_5343609.htm.

  2. Data sources: http://www.sohu.com/a/244169693_100189697.

  3. http://www.ccgp.gov.cn/cggg/dfgg/gkzb/202005/t20200509_14268820.htm.

  4. The “four plates” indicating the eastern area, central area, western area, and northeast of China. The “three supporting belts” including “The Belt and Road Initiative,” “Integrated development of Beijing, Tianjin municipalities and Hebei province,” and “Yangtze River Economic Belt.”

  5. www.webmap.cn.

  6. Based on the availability of data, this study takes the annual deposit interest rate published by the People’s Bank of China as the discount rate instead of the inflation rate.

  7. It is the residual part of organic matter produced by photosynthesis of crops per unit area and unit time after deducting autotrophic respiration consumption.

  8. When X represents the total agricultural output value, T is the Theil index of CEI; When X represents the rural population, T is the Theil index of CEPC.

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Funding

This research is supported by the National Soft Science Project of State Forestry and Grassland Administration (No. 2019131039); Key project of six industrial research institutes of Northwest Agricultural and Forestry University (No. Z221021601); Key special funds of Ministry of agriculture and Ministry of Finance (No. CARS-07-F-1); Major Research Project of County Economy in Shaanxi Province (No. 2019XY012); Scientific Research and Innovation Projects of Northwest Agricultural and Forestry University (No. JGYJSCXXM202001). The authors would like to thank the anonymous referees for their helpful suggestions and corrections on the earlier draft of our paper.

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Yu Cui: Conceptualization, Formal analysis, Investigation, Software, Methodology, Writing - original draft. Sufyan Ullah Khan: Writing - original draft, Data curation, Methodology, Writing - review & editing. Yue Deng: Investigation, Software, Methodology. Minjuan Zhao: Data curation, Funding acquisition, Investigation, Project administration, Supervision.

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Correspondence to Minjuan Zhao.

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Cui, Y., Khan, S.U., Deng, Y. et al. Regional difference decomposition and its spatiotemporal dynamic evolution of Chinese agricultural carbon emission: considering carbon sink effect. Environ Sci Pollut Res 28, 38909–38928 (2021). https://doi.org/10.1007/s11356-021-13442-3

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