IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v176y2022ics0040162522000014.html
   My bibliography  Save this article

Industrial agglomeration measured by plants’ distance and CO2 emissions: Evidence from 268 Chinese prefecture-level cities

Author

Listed:
  • Zheng, Yanting
  • Yang, Huidan
  • Huang, Jinyuan
  • Cui, Qi
  • Zhan, Jinyan

Abstract

Industrial agglomeration has a significant effect on carbon emissions. However, studies based on economic indicators seldom adequately addressed the underlying mechanisms (e.g., infrastructure and technology sharing, joint administration), which are often determined by the physical distance between plants. By calculating the distances between plants, the factory scatter index (FSI) was developed to reflect industrial agglomeration. Using a spatial econometric model, we investigated the relationship between the FSI and CO2 emissions in 268 Chinese cities during 1998–2013. The results demonstrate that increasing the FSI leads to an increase in total CO2 emissions and CO2 emission intensity. Differences between this result and those obtained with conventional indicators (e.g., factory density) suggest that the FSI may be more appropriate as a method of formulating spatial optimization guidelines for carbon reduction. Further spatial coupling analyses divided this spatial relationship into four types and explained their changes over time. The results may provide local governments with another possible option to reduce carbon emissions by shortening inter-factory distance, and could additionally help them to understand the implications of the spatial pattern of factories on current carbon emissions and the sensitivity of future carbon emission reduction to the likely pattern of future industrialization.

Suggested Citation

  • Zheng, Yanting & Yang, Huidan & Huang, Jinyuan & Cui, Qi & Zhan, Jinyan, 2022. "Industrial agglomeration measured by plants’ distance and CO2 emissions: Evidence from 268 Chinese prefecture-level cities," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162522000014
    DOI: 10.1016/j.techfore.2022.121469
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522000014
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.121469?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Candau, Fabien & Dienesch, Elisa, 2017. "Pollution Haven and Corruption Paradise," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 171-192.
    2. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    3. Zhang, Fan & Deng, Xiangzheng & Phillips, Fred & Fang, Chuanglin & Wang, Chao, 2020. "Impacts of industrial structure and technical progress on carbon emission intensity: Evidence from 281 cities in China," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    4. Wang, Shaojian & Shi, Chenyi & Fang, Chuanglin & Feng, Kuishuang, 2019. "Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model," Applied Energy, Elsevier, vol. 235(C), pages 95-105.
    5. He, Jie, 2006. "Pollution haven hypothesis and environmental impacts of foreign direct investment: The case of industrial emission of sulfur dioxide (SO2) in Chinese provinces," Ecological Economics, Elsevier, vol. 60(1), pages 228-245, November.
    6. J. Paul Elhorst, 2014. "Spatial Panel Data Models," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 37-93, Springer.
    7. Chikaraishi, Makoto & Fujiwara, Akimasa & Kaneko, Shinji & Poumanyvong, Phetkeo & Komatsu, Satoru & Kalugin, Andrey, 2015. "The moderating effects of urbanization on carbon dioxide emissions: A latent class modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 302-317.
    8. Shao, Shuai & Yang, Lili & Yu, Mingbo & Yu, Mingliang, 2011. "Estimation, characteristics, and determinants of energy-related industrial CO2 emissions in Shanghai (China), 1994-2009," Energy Policy, Elsevier, vol. 39(10), pages 6476-6494, October.
    9. Anu Ramaswami & Kangkang Tong & Andrew Fang & Raj M. Lal & Ajay Singh Nagpure & Yang Li & Huajun Yu & Daqian Jiang & Armistead G. Russell & Lei Shi & Marian Chertow & Yangjun Wang & Shuxiao Wang, 2017. "Urban cross-sector actions for carbon mitigation with local health co-benefits in China," Nature Climate Change, Nature, vol. 7(10), pages 736-742, October.
    10. Yanting Zheng & Sai Zhao & Jinyuan Huang & Aifeng Lv, 2021. "Analysis of the Spatiotemporal Pattern and Mechanism of Land Use Mixture: Evidence from China’s County Data," Land, MDPI, vol. 10(4), pages 1-22, April.
    11. QIN, Bo & WU, Jianfeng, 2015. "Does urban concentration mitigate CO2 emissions? Evidence from China 1998–2008," China Economic Review, Elsevier, vol. 35(C), pages 220-231.
    12. Du, Kerui & Li, Pengzhen & Yan, Zheming, 2019. "Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 297-303.
    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. Hao, Yu & Guo, Yunxia & Li, Suixin & Luo, Shiyue & Jiang, Xueting & Shen, Zhiyang & Wu, Haitao, 2022. "Towards achieving the sustainable development goal of industry: How does industrial agglomeration affect air pollution?," Innovation and Green Development, Elsevier, vol. 1(1).
    2. Wei Wei & Ling He & Xiaofan Li & Qi Cui & Hao Chen, 2022. "The Effectiveness and Trade-Offs of Renewable Energy Policies in Achieving the Dual Decarbonization Goals in China: A Dynamic Computable General Equilibrium Analysis," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    3. Ding, Jian & Liu, Baoliu & Shao, Xuefeng, 2022. "Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China," Energy Economics, Elsevier, vol. 112(C).

    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. Yajie Liu & Feng Dong, 2020. "Corruption, Economic Development and Haze Pollution: Evidence from 139 Global Countries," Sustainability, MDPI, vol. 12(9), pages 1-22, April.
    2. Ul-Durar, Shajara & De Sisto, Marco & Arshed, Noman & Naveed, Shabana & Farooqi, Madiha Rehman, 2024. "FinTech adoption in achieving ecologically sustainable mineral management in Asian OBOR countries – A cross-section and time autoregressive robust analysis," Resources Policy, Elsevier, vol. 91(C).
    3. Wu, Dong & Geng, Yong & Pan, Hengyu, 2021. "Whether natural gas consumption bring double dividends of economic growth and carbon dioxide emissions reduction in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    4. Yuan, Huaxi & Feng, Yidai & Lee, Chien-Chiang & Cen, Yan, 2020. "How does manufacturing agglomeration affect green economic efficiency?," Energy Economics, Elsevier, vol. 92(C).
    5. Yuan Zhao & Tian Zhang & Ting Wu & Shujing Xu & Shuwang Yang, 2021. "Effects of Technological Progress from Different Sources on Haze Pollution in China," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    6. Jianqing Zhang & Haichao Yu & Keke Zhang & Liang Zhao & Fei Fan, 2021. "Can Innovation Agglomeration Reduce Carbon Emissions? Evidence from China," IJERPH, MDPI, vol. 18(2), pages 1-24, January.
    7. Shuddhasattwa Rafiq & Ingrid Nielsen & Russell Smyth, 2016. "Effect of Internal Migration on Air and Water Pollution in China," Monash Economics Working Papers 27-16, Monash University, Department of Economics.
    8. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Li, Li & Hong, Xuefei & Wang, Jun, 2020. "Evaluating the impact of clean energy consumption and factor allocation on China’s air pollution: A spatial econometric approach," Energy, Elsevier, vol. 195(C).
    10. Ling Luo & Yang Fu & Hui Li, 2023. "Do Urban Innovation Policies Reduce Carbon Emission? Empirical Evidence from Chinese Cities with DID," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    11. Natalia Vechiu, 2018. "Foreign direct investments and "green" consumers," Economics Bulletin, AccessEcon, vol. 38(1), pages 159-181.
    12. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    13. Jie Su & Bo Zhou & Yuanpei Liao & Chaoshen Wang & Tian Feng, 2022. "Impact Mechanism of the Urban Network on Carbon Emissions in Rapidly Developing Regions: Example of 47 Cities in Southwest China," Land, MDPI, vol. 11(4), pages 1-19, March.
    14. Zhenhua Zhang & Guoxing Zhang & Shunfeng Song & Bin Su, 2020. "Spatial Heterogeneity Influences of Environmental Control and Informal Regulation on Air Pollutant Emissions in China," IJERPH, MDPI, vol. 17(13), pages 1-22, July.
    15. Shengli Dai & Yingying Wang & Weimin Zhang, 2022. "The Impact Relationships between Scientific and Technological Innovation, Industrial Structure Advancement and Carbon Footprints in China Based on the PVAR Model," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
    16. Rafiq, Shuddhasattwa & Nielsen, Ingrid & Smyth, Russell, 2017. "Effect of internal migration on the environment in China," Energy Economics, Elsevier, vol. 64(C), pages 31-44.
    17. Fhima, Fredj & Nouira, Ridha & Sekkat, Khalid, 2023. "How does corruption affect sustainable development? A threshold non-linear analysis," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 505-523.
    18. Chuanhui Wang & Asong Han & Weifeng Gong & Mengzhen Zhao & Wenwen Li, 2023. "Threshold Effect of Manufacturing Agglomeration on Eco-Efficiency in the Yellow River Basin of China," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    19. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    20. Yu Chen & Yuandi Wang & Ruifeng Hu, 2020. "Sustainability by High–Speed Rail: The Reduction Mechanisms of Transportation Infrastructure on Haze Pollution," Sustainability, MDPI, vol. 12(7), pages 1-18, April.

    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:eee:tefoso:v:176:y:2022:i:c:s0040162522000014. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.