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The Impact of Information and Communication Technology Industrial Co-Agglomeration on Carbon Productivity with the Background of the Digital Economy: Empirical Evidence from China

Author

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  • Xiaowen Wang

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Nishang Tian

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

  • Shuting Wang

    (School of Economics, Lanzhou University, Lanzhou 730000, China)

Abstract

In the era of the digital economy, the information and communication technology (ICT) industry has opened up a new round of expansion, while forming co-located development in the space. ICT industrial co-agglomeration has tremendous advantages in promoting economic development and achieving carbon neutrality goals. This paper analyzes the spatio-temporal characteristics of ICT industrial co-agglomeration and carbon productivity from 2009 to 2019 in China. It empirically explores the impact of ICT industrial co-agglomeration on carbon productivity using a systematic GMM model. Additionally, it analyses the spatial and temporal heterogeneity of ICT industrial co-agglomeration and other factors affecting carbon productivity using a geographically and temporally weighted regression (GTWR) model. The findings are as follows: (1) China’s ICT industrial co-agglomeration and carbon productivity show an upward trend. Additionally, their characteristic of regional distribution is east–high and west–low. (2) ICT industrial co-agglomeration has a positive association with carbon productivity. (3) The impact of ICT industrial co-agglomeration on carbon productivity has significant spatial and temporal heterogeneity. The regression coefficient of ICT industrial co-agglomeration increases continuously during the study period, and the degree of impact is relatively larger in Northern China. As the degree of ICT industrial co-agglomeration continues to increase, its positive impact on carbon productivity across China is deepening. The findings of this paper complete the research on the impact of ICT industrial co-agglomeration on carbon productivity, and the related policy recommendations provide useful references for the digital economy and sustainable development.

Suggested Citation

  • Xiaowen Wang & Nishang Tian & Shuting Wang, 2022. "The Impact of Information and Communication Technology Industrial Co-Agglomeration on Carbon Productivity with the Background of the Digital Economy: Empirical Evidence from China," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
  • Handle: RePEc:gam:jijerp:v:20:y:2022:i:1:p:316-:d:1014562
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    References listed on IDEAS

    as
    1. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    2. Shahbaz, Muhammad & Nasreen, Samia & Ahmed, Khalid & Hammoudeh, Shawkat, 2017. "Trade openness–carbon emissions nexus: The importance of turning points of trade openness for country panels," Energy Economics, Elsevier, vol. 61(C), pages 221-232.
    3. Diodato, Dario & Neffke, Frank & O’Clery, Neave, 2018. "Why do industries coagglomerate? How Marshallian externalities differ by industry and have evolved over time," Journal of Urban Economics, Elsevier, vol. 106(C), pages 1-26.
    4. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1077-1106.
    5. Lu Zhang & Renyan Mu & Nigatu Mengesha Fentaw & Yuanfang Zhan & Feng Zhang & Jixin Zhang, 2022. "Industrial Coagglomeration, Green Innovation, and Manufacturing Carbon Emissions: Coagglomeration’s Dynamic Evolution Perspective," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    6. Kai Chen & Feng Guo & Shuang Xu, 2022. "The Impact of Digital Economy Agglomeration on Regional Green Total Factor Productivity Disparity: Evidence from 285 Cities in China," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    7. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China," Energy Economics, Elsevier, vol. 111(C).
    8. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
    9. Olatunji A. Shobande & Simplice A. Asongu, 2022. "Searching for Sustainable Footprints: Does ICT increase CO2 emissions?," Working Papers 22/062, European Xtramile Centre of African Studies (EXCAS).
    10. 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.
    11. Haochang Yang & Faming Zhang & Yixin He, 2021. "Exploring the effect of producer services and manufacturing industrial co-agglomeration on the ecological environment pollution control in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16119-16144, November.
    12. Long, Ruyin & Shao, Tianxiang & Chen, Hong, 2016. "Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors," Applied Energy, Elsevier, vol. 166(C), pages 210-219.
    13. Bai, Caiquan & Du, Kerui & Yu, Ying & Feng, Chen, 2019. "Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis," Energy Economics, Elsevier, vol. 81(C), pages 698-708.
    14. Ryan M. Gallagher, 2013. "Shipping Costs, Information Costs, And The Sources Of Industrial Coagglomeration," Journal of Regional Science, Wiley Blackwell, vol. 53(2), pages 304-331, May.
    15. Shanzi Ke & Ming He & Chenhua Yuan, 2014. "Synergy and Co-agglomeration of Producer Services and Manufacturing: A Panel Data Analysis of Chinese Cities," Regional Studies, Taylor & Francis Journals, vol. 48(11), pages 1829-1841, November.
    16. 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.
    17. Pan, Xiongfeng & Li, Mengna & Wang, Mengyang & Chu, Junhui & Bo, Hongguang, 2020. "The effects of outward foreign direct investment and reverse technology spillover on China's carbon productivity," Energy Policy, Elsevier, vol. 145(C).
    18. Tuochen Li & Dongri Han & Shaosong Feng & Lei Liang, 2019. "Can Industrial Co-Agglomeration between Producer Services and Manufacturing Reduce Carbon Intensity in China?," Sustainability, MDPI, vol. 11(15), pages 1-15, July.
    19. 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).
    20. Lanaspa, Luis & Sanz-Gracia, Fernando & Vera-Cabello, María, 2016. "The (strong) interdependence between intermediate producer services' attributes and manufacturing location," Economic Modelling, Elsevier, vol. 57(C), pages 1-12.
    21. Rulong Zhuang & Kena Mi & Zhangwei Feng, 2021. "Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data," IJERPH, MDPI, vol. 18(22), pages 1-19, November.
    22. Steijn, Mathieu P.A. & Koster, Hans R.A. & Van Oort, Frank G., 2022. "The dynamics of industry agglomeration: Evidence from 44 years of coagglomeration patterns," Journal of Urban Economics, Elsevier, vol. 130(C).
    23. Shuyi Wang & Daizhong Su, 2022. "Sustainable Product Innovation and Consumer Communication," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    24. Hongwei Xiao & Zhongyu Ma & Peng Zhang & Ming Liu, 2019. "Study of the impact of energy consumption structure on carbon emission intensity in China from the perspective of spatial effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1365-1380, December.
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    1. Ling Zhang, 2024. "Spatial agglomeration of information services industry and its evolution: Evidence from the Pearl River Delta, China," Growth and Change, Wiley Blackwell, vol. 55(1), March.

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