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Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road

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  • Hua Zhang
  • Sidai Guo
  • Yubing Qian
  • Yan Liu
  • Chengpeng Lu

Abstract

To better understand the agricultural resources and environmental problems of the provinces along The Belt and Road in China, it is critical to investigate their agricultural carbon emission efficiency and evolutionary trends. Based on the panel data of 18 key provinces and cities between 2006 and 2015, this paper evaluated the agricultural carbon emission efficiency with the data envelopment analysis–Malmquist model and further explored their dynamic evolutionary trends. There were several main findings. First, the efficiency levels of agricultural carbon emissions showed significant regional differentiation among the areas, with that along the 21st-Century Maritime Silk Road being much higher than that along the Silk Road Economic Belt. Second, technical efficiency was the key factor that restricted the improvement of the comprehensive efficiency of agricultural carbon. Third, most provinces invested in too many redundant and unreasonably allocated resources, showing a trend of diminishing returns to scale. Last, According to dynamic evolution analysis, the total productivity still demonstrated a diminishing trend. This paper provides some suggestions for effectively improve the efficiency of agricultural carbon emissions in China, such as optimize the agricultural industrial structure, increasing the investment of carbon emission reduction technology, and implementing a carbon emission quota clearing system. This paper contributes to the improvement of the environment in China.

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  • Hua Zhang & Sidai Guo & Yubing Qian & Yan Liu & Chengpeng Lu, 2020. "Dynamic analysis of agricultural carbon emissions efficiency in Chinese provinces along the Belt and Road," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-22, February.
  • Handle: RePEc:plo:pone00:0228223
    DOI: 10.1371/journal.pone.0228223
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    1. Julian Ramirez-Villegas & Mike Salazar & Andy Jarvis & Carlos Navarro-Racines, 2012. "A way forward on adaptation to climate change in Colombian agriculture: perspectives towards 2050," Climatic Change, Springer, vol. 115(3), pages 611-628, December.
    2. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Shuddhasattwa Rafiq & Ruhul Salim & Nicholas Apergis, 2016. "Agriculture, trade openness and emissions: an empirical analysis and policy options," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(3), pages 348-365, July.
    5. repec:dau:papers:123456789/13362 is not listed on IDEAS
    6. Chengpeng Lu & Bing Xue & Chenyu Lu & Ting Wang & Lu Jiang & Zilong Zhang & Wanxia Ren, 2016. "Sustainability Investigation of Resource-Based Cities in Northeastern China," Sustainability, MDPI, vol. 8(10), pages 1-16, October.
    7. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    8. Christian de Perthuis & Dominic Moran & Erda Lin & Guodong Han & Liping Guo & Xiaotang Ju & Eli Saetnan & Pete Smith & Dali Rani Nayak & Frank Koslowski & Wen Wang, 2014. "Greenhouse gas mitigation in Chinese agriculture: Distinguishing technical and economic potentials," Post-Print hal-01504956, HAL.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    11. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.
    12. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    13. Guo, Xiao-Dan & Zhu, Lei & Fan, Ying & Xie, Bai-Chen, 2011. "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, Elsevier, vol. 39(5), pages 2352-2360, May.
    14. Dogan, Eyup & Sebri, Maamar & Turkekul, Berna, 2016. "Exploring the relationship between agricultural electricity consumption and output: New evidence from Turkish regional data," Energy Policy, Elsevier, vol. 95(C), pages 370-377.
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    Cited by:

    1. Jiang, Qingquan & Khattak, Shoukat Iqbal & Rahman, Zia Ur, 2021. "Measuring the simultaneous effects of electricity consumption and production on carbon dioxide emissions (CO2e) in China: New evidence from an EKC-based assessment," Energy, Elsevier, vol. 229(C).
    2. Sidong Zhao & Yiran Yan & Jing Han, 2021. "Industrial Land Change in Chinese Silk Road Cities and Its Influence on Environments," Land, MDPI, vol. 10(8), pages 1-30, July.
    3. Yizhang He & Wei Song, 2022. "Analysis of the Impact of Carbon Trading Policies on Carbon Emission and Carbon Emission Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    4. Yanqiu He & Xueying Cheng & Fang Wang & Ya Cheng, 2020. "Spatial correlation of China’s agricultural greenhouse gas emissions: a technology spillover perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2561-2590, December.
    5. Guangyue Xu & Juanjuan Li & Peter M. Schwarz & Hualiu Yang & Huiying Chang, 2022. "Rural financial development and achieving an agricultural carbon emissions peak: an empirical analysis of Henan Province, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12936-12962, November.

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