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Sustainability of the Food Industry: Ecological Efficiency and Influencing Mechanism of Carbon Emissions Trading Policy in China

Author

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  • Jiping Sheng

    (School of Agriculture Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Xiaoge Gao

    (School of Agriculture Economics and Rural Development, Renmin University of China, Beijing 100872, China)

  • Yongqi Sun

    (School of Agriculture Economics and Rural Development, Renmin University of China, Beijing 100872, China)

Abstract

As an important factor affecting ecological sustainability, the food industry’s ecological efficiency (EE) deserves great attention and control. In 2013, China implemented a carbon emissions trading policy (CETP) to limit carbon emissions from various industries to promote the optimization of the ecological environment. To explore the ecological sustainability of China’s food industry, identify the factors affecting the EE of the food industry, and study the influence heterogeneity and influencing mechanisms, the impact of the CETP on the food industry, which emits high volumes of greenhouse gasses, requires evaluation. Many scholars have studied the policy’s effect from the perspective of EE, but they have ignored the food industry, which is the main carbon emitting sector, and there is a lack of heterogeneity analyses of the influencing factors. This study reviewed the implementation process and characteristics of the CETP in the past decades. Using provincial panel data from 2003 to 2019, this study measured the EE in the food industry through the difference-in-difference model, evaluated the emission reduction and economic effects of the CETP on the food industry, characterized the heterogeneity of the policy’s effectiveness, and analysed its mechanism using three-stage mediating regression. The results showed that (1) the CETP significantly affected the food industry’s EE, which increased by 38.3% on average in experimental provinces compared with non-experimental provinces. (2) For the food industry, the policy’s effect was most significant in the food manufacturing and tobacco subsectors, and these subsectors in the experimental provinces increased by 66.0% and 39.7%, respectively; meanwhile, the policy’s effect was not significant in agriculture and subsidiary food processing and beverage manufacturing. By industrial area, the policy’s effects were significantly higher in the eastern region compared with the central and western regions. The influence on the food industry’s EE in the eastern region was close to 150%, while in the central and western regions, it was not significant. (3) The CETP promoted the food industry’s EE by improving energy consumption structure and technological innovation. The proportion of coal consumption decreased by 6.34% on average, and the technological innovation level increased by 25.1% on average in the experimental provinces’ food industries. The research findings indicate that the CEPT is a good practice and worth spreading. For food industry enterprises with high carbon emissions, attention should be paid to low-carbon transformation through technological upgrading and management optimization. For policymakers, targeted policies are needed to establish a national unified carbon trading market so that the national carbon emissions can be controlled, and the gap between regional carbon emissions can be narrowed.

Suggested Citation

  • Jiping Sheng & Xiaoge Gao & Yongqi Sun, 2024. "Sustainability of the Food Industry: Ecological Efficiency and Influencing Mechanism of Carbon Emissions Trading Policy in China," Sustainability, MDPI, vol. 16(5), pages 1-25, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2059-:d:1349732
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    as
    1. Irene Botosaru & Federico H. Gutierrez, 2018. "Difference‐in‐differences when the treatment status is observed in only one period," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 73-90, January.
    2. Ashenfelter, Orley C, 1978. "Estimating the Effect of Training Programs on Earnings," The Review of Economics and Statistics, MIT Press, vol. 60(1), pages 47-57, February.
    3. Hans-Werner Sinn, 2008. "Public policies against global warming: a supply side approach," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(4), pages 360-394, August.
    4. Jia, Shuwei & Liu, Xiaolu & Yan, Guangle, 2019. "Effect of APCF policy on the haze pollution in China: A system dynamics approach," Energy Policy, Elsevier, vol. 125(C), pages 33-44.
    5. Borissov, Kirill & Brausmann, Alexandra & Bretschger, Lucas, 2019. "Carbon pricing, technology transition, and skill-based development," European Economic Review, Elsevier, vol. 118(C), pages 252-269.
    6. Zhou, Yang & Liu, Yansui, 2016. "Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China," Applied Energy, Elsevier, vol. 180(C), pages 800-809.
    7. Zhang, Yue-Jun & Liang, Ting & Jin, Yan-Lin & Shen, Bo, 2020. "The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors," Applied Energy, Elsevier, vol. 260(C).
    8. Mengqi Gong & Zhe You & Linting Wang & Jinhua Cheng, 2020. "Environmental Regulation, Trade Comparative Advantage, and the Manufacturing Industry’s Green Transformation and Upgrading," IJERPH, MDPI, vol. 17(8), pages 1-17, April.
    9. Matthew A. Cole & Eric Neumayer, 2003. "Examining the Impact of Demographic Factors On Air Pollution," Labor and Demography 0312005, University Library of Munich, Germany, revised 13 May 2004.
    10. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    11. Reyer Gerlagh & Roweno J R K Heijmans & Knut Einar Rosendahl, 2021. "An endogenous emissions cap produces a green paradox [Combining price and quantity controls under partitioned environmental regulation]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 36(107), pages 485-522.
    12. Lien, Donald & Zhang, Jiewen & Yu, Xiaojian, 2022. "Effects of economic policy uncertainty: A regime switching connectedness approach," Economic Modelling, Elsevier, vol. 113(C).
    13. Giorgio Petroni & Barbara Bigliardi & Francesco Galati, 2019. "Rethinking the Porter Hypothesis: The Underappreciated Importance of Value Appropriation and Pollution Intensity," Review of Policy Research, Policy Studies Organization, vol. 36(1), pages 121-140, January.
    14. Gerlagh, Reyer & van der Zwaan, B. C. C., 2001. "The effects of ageing and an environmental trust fund in an overlapping generations model on carbon emission reductions," Ecological Economics, Elsevier, vol. 36(2), pages 311-326, February.
    15. Muhammad Bilal Khan & Hummera Saleem & Malik Shahzad Shabbir & Xie Huobao, 2022. "The effects of globalization, energy consumption and economic growth on carbon dioxide emissions in South Asian countries," Energy & Environment, , vol. 33(1), pages 107-134, February.
    16. Tan, Xianchun & Lai, Haiping & Gu, Baihe & Zeng, Yuan & Li, Hui, 2018. "Carbon emission and abatement potential outlook in China's building sector through 2050," Energy Policy, Elsevier, vol. 118(C), pages 429-439.
    17. Wen, Qiang & Zhang, Teng, 2022. "Economic policy uncertainty and industrial pollution: The role of environmental supervision by local governments," China Economic Review, Elsevier, vol. 71(C).
    18. Larelle Chapple & Peter M. Clarkson & Daniel L. Gold, 2013. "The Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme ( ETS )," Abacus, Accounting Foundation, University of Sydney, vol. 49(1), pages 1-33, March.
    19. Peter A. Raymond & Jens Hartmann & Ronny Lauerwald & Sebastian Sobek & Cory McDonald & Mark Hoover & David Butman & Robert Striegl & Emilio Mayorga & Christoph Humborg & Pirkko Kortelainen & Hans Dürr, 2013. "Global carbon dioxide emissions from inland waters," Nature, Nature, vol. 503(7476), pages 355-359, November.
    20. McDonald, Garry W. & Forgie, Vicky E. & MacGregor, Catherine, 2006. "Treading lightly: Ecofootprints of New Zealand's ageing population," Ecological Economics, Elsevier, vol. 56(3), pages 424-439, March.
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