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Carbon Emission Efficiency, Technological Progress, and Fishery Scale Expansion: Evidence from Marine Fishery in China

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  • Guangliang Li

    (Western Guangdong Grassroots Governance Innovation Research Center, Lingnan Normal University, Zhanjiang 524088, China
    School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China
    The first affiliation and the second one contribute equally.)

  • Chunlan Tan

    (School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Weikun Zhang

    (Western Guangdong Grassroots Governance Innovation Research Center, Lingnan Normal University, Zhanjiang 524088, China
    School of Social and Public Administration, Lingnan Normal University, Zhanjiang 524088, China)

  • Wolin Zheng

    (School of Credit Management, Guangdong University of Finance, Guangzhou 524094, China)

  • Yong Liu

    (School of Economics, Liaoning University, Shenyang 110036, China)

Abstract

China’s technical progress on emissions and vast ocean area make the study for CO 2 emission reduction suitable in a marine fishery. This study uses the slack variables of SBM and the Malmquist index to analyze the CO 2 emission efficiency of Trawler, Seine net, Drift net, Fixed net, and Angling, along with their efficiency values, distinguishing the impact of technological progress, scale expansion, and technological efficiency. Results show that the CO 2 emission efficiency of the Angling and Seine industry is high with the development potential of the low-carbon fishery. Moreover, China’s technological progress is increasing, but the technical efficiency of CO 2 emission reduction is declining. Lack of pure technical efficiency is the primary constraint of low-carbon capture fishery, making changes in efficiency show a downward trend. These results expand the research depth of the efficiency impact of technological progress and reveal that technological progress keeps increasing, but the CO 2 emission reduction efficiency is decreasing. This indicates that emission reduction requires both technological growth and the technology’s capacity to reduce CO 2 emissions efficiently.

Suggested Citation

  • Guangliang Li & Chunlan Tan & Weikun Zhang & Wolin Zheng & Yong Liu, 2023. "Carbon Emission Efficiency, Technological Progress, and Fishery Scale Expansion: Evidence from Marine Fishery in China," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6331-:d:1117782
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    References listed on IDEAS

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    1. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    2. Na, Joon-Ho & Choi, A-Young & Ji, Jianhua & Zhang, Dali, 2017. "Environmental efficiency analysis of Chinese container ports with CO2 emissions: An inseparable input-output SBM model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 13-24.
    3. Zhou, Yan & Xing, Xinpeng & Fang, Kuangnan & Liang, Dapeng & Xu, Chunlin, 2013. "Environmental efficiency analysis of power industry in China based on an entropy SBM model," Energy Policy, Elsevier, vol. 57(C), pages 68-75.
    4. Driscoll, John & Tyedmers, Peter, 2010. "Fuel use and greenhouse gas emission implications of fisheries management: the case of the new england atlantic herring fishery," Marine Policy, Elsevier, vol. 34(3), pages 353-359, May.
    5. Pastor, Jesus T. & Lovell, C.A. Knox, 2005. "A global Malmquist productivity index," Economics Letters, Elsevier, vol. 88(2), pages 266-271, August.
    6. Madin, Elizabeth M.P. & Macreadie, Peter I., 2015. "Incorporating carbon footprints into seafood sustainability certification and eco-labels," Marine Policy, Elsevier, vol. 57(C), pages 178-181.
    7. Zhang, Caiqing & Chen, Panyu, 2022. "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries," Energy, Elsevier, vol. 241(C).
    8. Zhang, Yue-Jun & Sun, Ya-Fang & Huang, Junling, 2018. "Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment," Energy Policy, Elsevier, vol. 115(C), pages 119-130.
    9. Tao, Wang & Guang-shun, He & Jing, Guo & Yue, Yin & Lin-lin, Li, 2020. "Energy consumption and economic growth in China’s marine economic zones-an estimation based on partial linear model," Energy, Elsevier, vol. 205(C).
    10. Weijiang Liu & Mingze Du, 2021. "Is Technological Progress Selective for Multiple Pollutant Emissions?," IJERPH, MDPI, vol. 18(17), pages 1-17, September.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    13. Cheilari, Anna & Guillen, Jordi & Damalas, Dimitrios & Barbas, Thomas, 2013. "Effects of the fuel price crisis on the energy efficiency and the economic performance of the European Union fishing fleets," Marine Policy, Elsevier, vol. 40(C), pages 18-24.
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