IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i4p3216-d1065951.html
   My bibliography  Save this article

Study on the Impact of Collaborative Agglomeration of Manufacturing and Producer Services on PM 2.5 Pollution: Evidence from Urban Agglomerations in the Middle Reaches of the Yangtze River in China

Author

Listed:
  • Lei Gao

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Jingran Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Yu Tian

    (Institute of Ancient Books, Jilin University, Changchun 130012, China)

  • Xinyu Liu

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Shuxin Guan

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

  • Yuhong Wu

    (School of Economics and Management, Yanshan University, Qinhuangdao 066004, China)

Abstract

In this paper, using panel data of 28 cities in the middle reaches of the Yangtze River from 2003 to 2020 as the research sample, we built a dynamic spatial Durbin model based on the STIRPAT (stochastic impacts by regression on population, affluence, and technology) model and conducted an empirical study on the impact of the coordinated agglomeration of manufacturing and producer services on particulate matter (PM) 2.5 pollution. The results show a significant positive spatial spillover effect of PM 2.5 pollution in the middle reaches of the Yangtze River. The coordinated agglomeration of manufacturing and producer services in the urban agglomerations there is conducive to reducing PM 2.5 pollution. Similar to the inverted-U curve of the classic environmental Kuznets curve hypothesis, there is a significant inverted-U curve relationship between PM 2.5 pollution and economic growth in urban agglomerations in the middle reaches of the Yangtze River. The proportion of coal consumption, the proportion of secondary industry, and the urbanization level are significantly and positively correlated with PM 2.5 pollution in urban agglomerations in this area. Technological innovation, environmental regulation, and annual average humidity play an important role in addressing the PM 2.5 pollution and spatial spillover effect. Industrial structure and technological innovation are the main ways for the coordinated agglomeration of manufacturing and producer services to affect PM 2.5 . The research conclusion can be of great practical significance to optimize the regional industrial layout, control PM 2.5 pollution, and establish a sustainable development policy system in the middle reaches of the Yangtze River in China.

Suggested Citation

  • Lei Gao & Jingran Zhang & Yu Tian & Xinyu Liu & Shuxin Guan & Yuhong Wu, 2023. "Study on the Impact of Collaborative Agglomeration of Manufacturing and Producer Services on PM 2.5 Pollution: Evidence from Urban Agglomerations in the Middle Reaches of the Yangtze River in China," IJERPH, MDPI, vol. 20(4), pages 1-18, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3216-:d:1065951
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/4/3216/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/4/3216/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Min Liu & Jianpeng Fan & Yuanzheng Li & Linan Sun, 2022. "Simulating the Spatial Mismatch between Ecosystem Services’ (ESs’) Supply and Demand Based on Their Spatial Transfer in Urban Agglomeration Area, China," Land, MDPI, vol. 11(8), pages 1-19, July.
    2. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    3. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    4. Eskeland, Gunnar S. & Harrison, Ann E., 2003. "Moving to greener pastures? Multinationals and the pollution haven hypothesis," Journal of Development Economics, Elsevier, vol. 70(1), pages 1-23, February.
    5. Zhu, Huiming & Duan, Lijun & Guo, Yawei & Yu, Keming, 2016. "The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: Evidence from panel quantile regression," Economic Modelling, Elsevier, vol. 58(C), pages 237-248.
    6. Tang, Chor Foon & Tan, Bee Wah, 2015. "The impact of energy consumption, income and foreign direct investment on carbon dioxide emissions in Vietnam," Energy, Elsevier, vol. 79(C), pages 447-454.
    7. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    8. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    9. Andreoni, James & Levinson, Arik, 2001. "The simple analytics of the environmental Kuznets curve," Journal of Public Economics, Elsevier, vol. 80(2), pages 269-286, May.
    10. Brian R. Copeland & M. Scott Taylor, 1994. "North-South Trade and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(3), pages 755-787.
    11. Lei Gao & Taowu Pei & Jingran Zhang & Yu Tian, 2022. "The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    12. Glenn Ellison & Edward L. Glaeser & William R. Kerr, 2010. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns," American Economic Review, American Economic Association, vol. 100(3), pages 1195-1213, June.
    13. Huanbi Yue & Chunyang He & Qingxu Huang & Dan Yin & Brett A. Bryan, 2020. "Stronger policy required to substantially reduce deaths from PM2.5 pollution in China," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    14. Taowu Pei & Lei Gao & Chao Yang & Chang Xu & Yu Tian & Weiming Song, 2021. "The Impact of FDI on Urban PM 2.5 Pollution in China: The Mediating Effect of Industrial Structure Transformation," IJERPH, MDPI, vol. 18(17), pages 1-24, August.
    15. Zhe Zhao & Xiangzheng Deng & Fan Zhang & Zhihui Li & Wenjiao Shi & Zhigang Sun & Xuezhen Zhang, 2022. "Scenario Analysis of Livestock Carrying Capacity Risk in Farmland from the Perspective of Planting and Breeding Balance in Northeast China," Land, MDPI, vol. 11(3), pages 1-13, March.
    16. Doytch, Nadia & Narayan, Seema, 2016. "Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumption," Energy Economics, Elsevier, vol. 54(C), pages 291-301.
    17. Mohammad Anamul Haque & Zhang Biqiong & Muhammad Usman Arshad, 2022. "Sources of Financial Development and Their Impact on FDI Inflow: A Panel Data Analysis of Middle-Income Economies," Economies, MDPI, vol. 10(8), pages 1-18, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hua Yin & Wen Su, 2024. "Industrial Synergy Agglomeration, Urban Innovation Capacity, and Advanced Manufacturing Development," Economies, MDPI, vol. 12(5), pages 1-28, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lei Gao & Taowu Pei & Jingran Zhang & Yu Tian, 2022. "The “Pollution Halo” Effect of FDI: Evidence from the Chinese Sichuan–Chongqing Urban Agglomeration," IJERPH, MDPI, vol. 19(19), pages 1-17, September.
    2. Taowu Pei & Lei Gao & Chao Yang & Chang Xu & Yu Tian & Weiming Song, 2021. "The Impact of FDI on Urban PM 2.5 Pollution in China: The Mediating Effect of Industrial Structure Transformation," IJERPH, MDPI, vol. 18(17), pages 1-24, August.
    3. Opoku, Eric Evans Osei & Boachie, Micheal Kofi, 2020. "The environmental impact of industrialization and foreign direct investment," Energy Policy, Elsevier, vol. 137(C).
    4. Jeffrey A. Frankel & Andrew K. Rose, 2005. "Is Trade Good or Bad for the Environment? Sorting Out the Causality," The Review of Economics and Statistics, MIT Press, vol. 87(1), pages 85-91, February.
    5. Shahbaz, Muhammad & Nasir, Muhammad Ali & Roubaud, David, 2018. "Environmental degradation in France: The effects of FDI, financial development, and energy innovations," Energy Economics, Elsevier, vol. 74(C), pages 843-857.
    6. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    7. Wen Jun & Muhammad Zakaria & Syed Jawad Hussain Shahzad & Hamid Mahmood, 2018. "Effect of FDI on Pollution in China: New Insights Based on Wavelet Approach," Sustainability, MDPI, vol. 10(11), pages 1-20, October.
    8. Jiang, Qichuan & Ma, Xuejiao & Wang, Yun, 2021. "How does the one belt one road initiative affect the green economic growth?," Energy Economics, Elsevier, vol. 101(C).
    9. Mahamuda Firoj & Nair Sultana & Sharmina Khanom & Md Harun Ur Rashid & Abeda Sultana, 2023. "Pollution haven hypothesis and the environmental Kuznets curve of Bangladesh: an empirical investigation," Asia-Pacific Journal of Regional Science, Springer, vol. 7(1), pages 197-227, March.
    10. Ha-Chi Le & Thai-Ha Le, 2023. "Effects of economic, social, and political globalization on environmental quality: international evidence," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(5), pages 4269-4299, May.
    11. Zhang, Chuanguo & Zhou, Xiangxue, 2016. "Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 943-951.
    12. Lei Gao & Junxuan Guo & Xu Wang & Yu Tian & Tielong Wang & Jingran Zhang, 2022. "Research on the Influence of Different Types of Industrial Agglomeration on Ecological Efficiency in Western China," Sustainability, MDPI, vol. 14(21), pages 1-13, November.
    13. Jevan M. Cherniwchan & M. Scott Taylor, 2022. "International Trade and the Environment: Three Remaining Empirical Challenges," NBER Working Papers 30020, National Bureau of Economic Research, Inc.
    14. Xuejiao Ma & Qichuan Jiang, 2019. "How to Balance the Trade-off between Economic Development and Climate Change?," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    15. Vishal Dagar & Farhan Ahmed & Farah Waheed & Štefan Bojnec & Muhammad Kamran Khan & Sana Shaikh, 2022. "Testing the Pollution Haven Hypothesis with the Role of Foreign Direct Investments and Total Energy Consumption," Energies, MDPI, vol. 15(11), pages 1-23, May.
    16. Paramati, Sudharshan Reddy & Mo, Di & Gupta, Rakesh, 2017. "The effects of stock market growth and renewable energy use on CO2 emissions: Evidence from G20 countries," Energy Economics, Elsevier, vol. 66(C), pages 360-371.
    17. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    18. Richard T. Carson, 2010. "The Environmental Kuznets Curve: Seeking Empirical Regularity and Theoretical Structure," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 4(1), pages 3-23, Winter.
    19. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    20. Shahbaz, Muhammad & Nasreen, Samia & Abbas, Faisal & Anis, Omri, 2015. "Does foreign direct investment impede environmental quality in high-, middle-, and low-income countries?," Energy Economics, Elsevier, vol. 51(C), pages 275-287.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:4:p:3216-:d:1065951. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.