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Effects and Spatial Spillover of Manufacturing Agglomeration on Carbon Emissions in the Yellow River Basin, China

Author

Listed:
  • Dan Wang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Yan Liu

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

  • Yu Cheng

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China)

Abstract

Manufacturing agglomeration is an important manifestation for cities to enhance their competitiveness, and the resource and environmental effects caused by agglomeration have become a hot topic. Based on the relevant data of prefecture-level cities in the Yellow River Basin from 2006 to 2019, this study used a Markov transition matrix to study the characteristics of carbon emission transfer and constructed an SDM model to analyze the effect of manufacturing agglomeration on carbon emissions and spatial spillover; the study drew the following conclusions: carbon emissions and the concentrations of manufacturing industries in the Yellow River Basin are on the rise, with carbon emissions showing a distribution pattern of “downstream > midstream > upstream”. Manufacturing agglomeration has a significant positive influence on carbon emissions, reflecting the necessity for the green transformation of manufacturing agglomeration. Manufacturing agglomeration has a spatial spillover effect on carbon emissions. The direct effect is positive, and the indirect effect is negative. The polarization effect caused by agglomeration weakens the development degree of neighboring areas, which may reflect the technological spillover effect of manufacturing agglomeration on neighboring areas. Manufacturing agglomeration has regional heterogeneity in carbon emissions. Compared with the middle and lower reaches of the Yellow River Basin, the effect is more obvious in the upper reaches. The study proposes countermeasures in terms of optimizing the spatial pattern of the manufacturing industry and other aspects to provide references for promoting the transformation development of the manufacturing industry in the Yellow River Basin.

Suggested Citation

  • Dan Wang & Yan Liu & Yu Cheng, 2023. "Effects and Spatial Spillover of Manufacturing Agglomeration on Carbon Emissions in the Yellow River Basin, China," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9386-:d:1168427
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    1. Giutini, Ron & Gaudette, Kevin, 2003. "Remanufacturing: The next great opportunity for boosting US productivity," Business Horizons, Elsevier, vol. 46(6), pages 41-48.
    2. Yali Zhang & Yihan Wang & Xiaoshu Hou, 2019. "Carbon Mitigation for Industrial Sectors in the Jing-Jin-Ji Urban Agglomeration, China," Sustainability, MDPI, vol. 11(22), pages 1-13, November.
    3. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
    4. Shen, Neng & Peng, Hui, 2021. "Can industrial agglomeration achieve the emission-reduction effect?," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    5. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    6. Dingbang, Cang & Cang, Chen & Qing, Chen & Lili, Sui & Caiyun, Cui, 2021. "Does new energy consumption conducive to controlling fossil energy consumption and carbon emissions?-Evidence from China," Resources Policy, Elsevier, vol. 74(C).
    7. Fang, Jiayu & Tang, Xue & Xie, Rui & Han, Feng, 2020. "The effect of manufacturing agglomerations on smog pollution," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 92-101.
    8. Tommi Inkinen & Inka Kaakinen, 2016. "Economic Geography of Knowledge-Intensive Technology Clusters: Lessons from the Helsinki Metropolitan Area," Journal of Urban Technology, Taylor & Francis Journals, vol. 23(1), pages 95-114, January.
    9. Shuyi Wang & Daizhong Su, 2022. "Sustainable Product Innovation and Consumer Communication," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    10. Song, Yan & Zhang, Ming, 2019. "Research on the gravity movement and mitigation potential of Asia's carbon dioxide emissions," Energy, Elsevier, vol. 170(C), pages 31-39.
    11. Xu, Jin-Jin & Wang, Hai-Jie & Tang, Kai, 2022. "The sustainability of industrial structure on green eco-efficiency in the Yellow River Basin," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 775-788.
    12. Xinyu Zhang & Mufei Shen & Yupeng Luan & Weijia Cui & Xueqin Lin, 2022. "Spatial Evolutionary Characteristics and Influencing Factors of Urban Industrial Carbon Emission in China," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    13. Wang-Helmreich, Hanna & Kreibich, Nicolas, 2019. "The potential impacts of a domestic offset component in a carbon tax on mitigation of national emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 453-460.
    14. Jing Song & Mengyuan Li & Shaosong Wang & Tao Ye, 2022. "To What Extent Does Environmental Regulation Influence Emission Reduction? Evidence from Local and Neighboring Locations in China," Sustainability, MDPI, vol. 14(15), pages 1-9, August.
    15. Zhao, Jun & Shahbaz, Muhammad & Dong, Xiucheng & Dong, Kangyin, 2021. "How does financial risk affect global CO2 emissions? The role of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    16. Gao, Yuning & Zhang, Meichen & Zheng, Jinghai, 2021. "Accounting and determinants analysis of China's provincial total factor productivity considering carbon emissions," China Economic Review, Elsevier, vol. 65(C).
    17. Dan O'Donoghue & Bill Gleave, 2004. "A Note on Methods for Measuring Industrial Agglomeration," Regional Studies, Taylor & Francis Journals, vol. 38(4), pages 419-427.
    18. Kang Zhao & Rui Zhang & Hong Liu & Geyi Wang & Xialing Sun, 2021. "Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    19. Lan, Fei & Sun, Li & Pu, Wenyan, 2021. "Research on the influence of manufacturing agglomeration modes on regional carbon emission and spatial effect in China," Economic Modelling, Elsevier, vol. 96(C), pages 346-352.
    20. Clark, William C. & Gleick, Peter H., 2010. "Climate Change and the Integrity of Science," Scholarly Articles 9795466, Harvard Kennedy School of Government.
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    1. Hongfeng Zhang & Miao Liu & Yixiang Wang & Xiangjiang Ding & Yueting Li, 2023. "Spatio-Temporal Evolution and Action Path of Environmental Governance on Carbon Emissions: A Case Study of Urban Agglomerations in the Yellow River Basin," Sustainability, MDPI, vol. 15(19), pages 1-20, September.

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