IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8967-d868480.html
   My bibliography  Save this article

Has Industrial Upgrading Improved Air Pollution?—Evidence from China’s Digital Economy

Author

Listed:
  • Guangzhi Qi

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

  • Zhibao Wang

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

  • Zhixiu Wang

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

  • Lijie Wei

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

Abstract

Air pollution has seriously hindered China’s sustainable development. The impact mechanism of industrial upgrading on air pollution is still unclear, given the rapid digital economy. It is necessary to analyze the impact of industrial structure upgrading on air pollution through the digital economy. To investigate the impact of industrial upgrading and the digital economy on air pollution, this paper selected the industrial advanced index and the digital economy index to construct a panel regression model to explore the improvement effect of industrial upgrading on air pollution and selected China’s three typical areas to construct a zonal regression model. The concentrations of air pollutants showed a downward trend during 2013–2020. Among them, the SO 2 concentration decreased by 63%, which is lower than the PM 2.5 and NO 2 concentrations. The spatial pattern of air pollutants is heavier in the north than in the south and heavier in the east than in the west, with the North China Plain being the center of gravity. These air pollutants have significant spatial spillover effects, while local spatial correlation is dominated by high-high and low-low clustering. Industrial upgrading has a stronger suppressive effect on the PM 2.5 concentration than the suppressive effect on the SO 2 and NO 2 concentrations, while the digital economy has a stronger improvement effect on the SO 2 concentration than its improvement effect on the PM 2.5 and NO 2 concentrations. Industrial upgrading has a stronger improvement effect on air pollution in the Yangtze River Delta urban agglomeration than in Beijing–Tianjin–Hebei and its surrounding areas, while the improvement in air pollution attributable to the digital economy in Beijing–Tianjin–Hebei and its surrounding areas is stronger than in the Yangtze River Delta urban agglomeration. There are significant differences in the effects of industrial upgrading and the digital economy on the various types of air pollutants.

Suggested Citation

  • Guangzhi Qi & Zhibao Wang & Zhixiu Wang & Lijie Wei, 2022. "Has Industrial Upgrading Improved Air Pollution?—Evidence from China’s Digital Economy," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8967-:d:868480
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8967/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8967/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lijiang Jia & Xiaoli Hu & Zhongwei Zhao & Bin He & Weiming Liu, 2022. "How Environmental Regulation, Digital Development and Technological Innovation Affect China’s Green Economy Performance: Evidence from Dynamic Thresholds and System GMM Panel Data Approaches," Energies, MDPI, vol. 15(3), pages 1-25, January.
    2. Xiaoyan Li & Jia Liu & Peijie Ni, 2021. "The Impact of the Digital Economy on CO 2 Emissions: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    3. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    4. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    5. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    6. Sicheng Wang & Pingjun Sun & Feng Sun & Shengnan Jiang & Zhaomin Zhang & Guoen Wei, 2021. "The Direct and Spillover Effect of Multi-Dimensional Urbanization on PM 2.5 Concentrations: A Case Study from the Chengdu-Chongqing Urban Agglomeration in China," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    7. 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.
    8. Zheng, Huiling & Zhou, Jinsheng & Gao, Xiangyun & Xi, Xian & Liu, Donghui & Zhao, Yiran, 2021. "Global impacts of the topological structure of industrial driving networks on energy intensity," Energy, Elsevier, vol. 225(C).
    9. Hering, Laura & Poncet, Sandra, 2014. "Environmental policy and exports: Evidence from Chinese cities," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 296-318.
    10. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    11. Ai, Hongshan & Wang, Mengyuan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2022. "How does air pollution affect urban innovation capability? Evidence from 281 cities in China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 166-178.
    12. Yang Liu & Yanlin Yang & Huihui Li & Kaiyang Zhong, 2022. "Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities," IJERPH, MDPI, vol. 19(4), pages 1-23, February.
    13. Arthur Getis & J. Keith Ord, 2010. "The Analysis of Spatial Association by Use of Distance Statistics," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 127-145, Springer.
    14. Weipeng Yuan & Hui Sun & Yu Chen & Xuechao Xia, 2021. "Spatio-Temporal Evolution and Spatial Heterogeneity of Influencing Factors of SO 2 Emissions in Chinese Cities: Fresh Evidence from MGWR," Sustainability, MDPI, vol. 13(21), pages 1-26, November.
    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. Xiaoxue Liu & Fuzhen Cao & Shuangshuang Fan, 2022. "Does Human Capital Matter for China’s Green Growth?—Examination Based on Econometric Model and Machine Learning Methods," IJERPH, MDPI, vol. 19(18), pages 1-27, September.
    2. Xinfeng Chang & Jian Su & Zihe Yang, 2022. "The Effect of Digital Economy on Urban Green Transformation—An Empirical Study Based on the Yangtze River Delta City Cluster in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    3. Huaxue Zhao & Yu Cheng & Ruijing Zheng, 2022. "Impact of the Digital Economy on PM 2.5 : Experience from the Middle and Lower Reaches of the Yellow River Basin," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    4. Xiaoyu Yang & Jianqiang Dong & Xiaopeng Guo, 2023. "Spatial Dependence of SO 2 Emissions and Energy Consumption Structure in Northern China," Sustainability, MDPI, vol. 15(3), pages 1-14, January.
    5. Xiaoli Wu & Yaoyao Qin & Qizhuo Xie & Yunyi Zhang, 2022. "The Mediating and Moderating Effects of the Digital Economy on PM 2.5 : Evidence from China," Sustainability, MDPI, vol. 14(23), pages 1-17, November.

    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. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    2. Lin Zhu & Xiaoming Li & Yao Huang & Fangyuan Liu & Chengji Yang & Dongyang Li & Hongpeng Bai, 2023. "Digital Technology and Green Development in Manufacturing: Evidence from China and 20 Other Asian Countries," Sustainability, MDPI, vol. 15(17), pages 1-20, August.
    3. Xing Zhang & Jian Zhong & Huanfang Wang, 2023. "Does the Development of Digital Economy Affect Environmental Pollution?," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    4. Lingzhang Kong & Jinye Li, 2022. "Digital Economy Development and Green Economic Efficiency: Evidence from Province-Level Empirical Data in China," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    5. Nagmi Moftah Aimer, 2020. "Renewable energy consumption, financial development and economic growth: Evidence from panel data for the Middle East and North African countries," Economics Bulletin, AccessEcon, vol. 40(3), pages 2058-2072.
    6. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    7. Tianshun Ruan & Ying Gu & Xinhao Li & Rong Qu, 2022. "Research on the Practical Path of Resource-Based Enterprises to Improve Environmental Efficiency in Digital Transformation," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    8. Bande, Roberto & Fernández, Melchor & Montuenga, Víctor, 2008. "Regional unemployment in Spain: Disparities, business cycle and wage setting," Labour Economics, Elsevier, vol. 15(5), pages 885-914, October.
    9. Nghiem, Son & Tran, Bach & Afoakwah, Clifford & Byrnes, Joshua & Scuffham, Paul, 2021. "Wealthy, healthy and green: Are we there yet?," World Development, Elsevier, vol. 147(C).
    10. Yunyan Jiang & Feng Deng, 2022. "Multi-Dimensional Threshold Effects of the Digital Economy on Green Economic Growth?—New Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    11. Economou, Fotini, 2019. "Economic freedom and asymmetric crisis effects on FDI inflows: The case of four South European economies," Research in International Business and Finance, Elsevier, vol. 49(C), pages 114-126.
    12. Piotr Ciżkowicz & Michał Kowalczuk & Andrzej Rzońca, 2016. "Heterogeneous determinants of local unemployment in Poland," Post-Communist Economies, Taylor & Francis Journals, vol. 28(4), pages 487-519, October.
    13. Marwân-al-Qays Bousmah & Daria Onori, 2016. "Financial Openness, Aggregate Consumption and Threshold Effects," Pacific Economic Review, Wiley Blackwell, vol. 21(3), pages 358-380, August.
    14. Chortareas, Georgios & Kapetanios, George, 2009. "Getting PPP right: Identifying mean-reverting real exchange rates in panels," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 390-404, February.
    15. Xiao Tang & Zhengwen Liu & Hongtao Yi, 2016. "Mandatory Targets and Environmental Performance: An Analysis Based on Regression Discontinuity Design," Sustainability, MDPI, vol. 8(9), pages 1-16, September.
    16. Chunying Cui & Ziwei Yan, 2023. "Does the Digital Economy Promote Domestic Non-Tradable Sectors?: Evidence from China," Sustainability, MDPI, vol. 15(3), pages 1-23, February.
    17. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    18. Zhou, Fengxiu & Wen, Huwei & Lee, Chien-Chiang, 2022. "Broadband infrastructure and export growth," Telecommunications Policy, Elsevier, vol. 46(5).
    19. Hong Tang & Chaoyue Cai & Chunxiao Xu, 2022. "Does the Digital Economy Improve Urban Tourism Development? An Examination of the Chinese Case," Sustainability, MDPI, vol. 14(23), pages 1-23, November.
    20. Xinfeng Chang & Jian Su & Zihe Yang, 2022. "The Effect of Digital Economy on Urban Green Transformation—An Empirical Study Based on the Yangtze River Delta City Cluster in China," Sustainability, MDPI, vol. 14(21), pages 1-19, October.

    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:jsusta:v:14:y:2022:i:14:p:8967-:d:868480. 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.