IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v284y2023ics0360544223020613.html
   My bibliography  Save this article

Assessing the role of digital economy agglomeration in energy conservation and emission reduction: Evidence from China

Author

Listed:
  • Yu, Hongyang
  • Wang, Jinchao
  • Xu, Jiajun

Abstract

As an important economic phenomenon and development trend, it is meaningful to understand the impact of digital economy agglomeration (DIAGG) on energy conservation and emission reduction to achieve the dual carbon target in China. Using the panel data of 285 cities in China from 2011 to 2018, the study comprehensively investigates the influence mechanism, nonlinear effect, and spatial spillover effect of DIAGG on energy conservation and emission reduction by employing multiple econometric models. The results show that the DIAGG is beneficial to promote energy conservation and emission reduction by the mechanisms of the innovation effect, structural effect, and scale effect. However, the threshold model shows that DIAGG has a non-linear impact on energy conservation and emission reduction. When the DIAGG exceeds 0.083 and 1.194, respectively, the impact of DIAGG on emission reduction changes from inhibiting to promoting, while the marginal effect on energy conservation decreases. In addition, there is a significant positive spatial spillover effect of DIAGG on energy conservation and emission reduction, which inhibits energy conservation and emission reduction in surrounding cities. This spatial spillover effect decreases in the maturity period. This study provides policy insights for promoting energy conservation and emission reduction to achieve sustainable urban development.

Suggested Citation

  • Yu, Hongyang & Wang, Jinchao & Xu, Jiajun, 2023. "Assessing the role of digital economy agglomeration in energy conservation and emission reduction: Evidence from China," Energy, Elsevier, vol. 284(C).
  • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223020613
    DOI: 10.1016/j.energy.2023.128667
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223020613
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2023.128667?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. C. Cindy Fan & Allen J. Scott, 2003. "Industrial Agglomeration and Development: A Survey of Spatial Economic Issues in East Asia and a Statistical Analysis of Chinese Regions," Economic Geography, Taylor & Francis Journals, vol. 79(3), pages 295-319, July.
    2. 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.
    3. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    4. Wang, Lianghu & Shao, Jun, 2023. "Digital economy, entrepreneurship and energy efficiency," Energy, Elsevier, vol. 269(C).
    5. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    6. Yang, Qiuyue & Song, Deyong, 2019. "How does environmental regulation break the resource curse: Theoretical and empirical study on China," Resources Policy, Elsevier, vol. 64(C).
    7. Guo, Xiaopeng & Dong, Yining & Ren, Dongfang, 2023. "CO2 emission reduction effect of photovoltaic industry through 2060 in China," Energy, Elsevier, vol. 269(C).
    8. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    9. Ilhan Ozturk & Gazi Salah Uddin, 2012. "Causality Among Carbon Emissions, Energy Consumption and Growth Inindia," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 25(3), pages 752-775, January.
    10. Alina Sorescu & Martin Schreier, 2021. "Innovation in the digital economy: a broader view of its scope, antecedents, and consequences," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 627-631, July.
    11. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    12. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    13. Siyeon Kim & Meesung Lee & Ilhan Yu & JeongWook Son, 2022. "Key Initiatives for Digital Transformation, Green New Deal and Recovery after COVID-19 within the Construction Industry in Korea," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    14. Peng, Dan & Li, Rongrong & Shen, Chenrong & Wong, Zoey, 2022. "Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 18-28.
    15. Lau, Lawrence J., 2023. "The benefits and potential costs of a digital economy," Telecommunications Policy, Elsevier, vol. 47(8).
    16. Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    17. Feng, Yidai & Liu, Yaobin & Yuan, Huaxi, 2022. "The spatial threshold effect and its regional boundary of new-type urbanization on energy efficiency," Energy Policy, Elsevier, vol. 164(C).
    18. 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).
    19. Congbo Chen & Azhong Ye, 2021. "Heterogeneous Effects of ICT across Multiple Economic Development in Chinese Cities: A Spatial Quantile Regression Model," Sustainability, MDPI, vol. 13(2), pages 1-13, January.
    20. Avom, Désiré & Nkengfack, Hilaire & Fotio, Hervé Kaffo & Totouom, Armand, 2020. "ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    21. Zhou, Yi & Zhuo, Chengfeng & Deng, Feng, 2021. "Can the rise of the manufacturing value chain be the driving force of energy conservation and emission reduction in China?," Energy Policy, Elsevier, vol. 156(C).
    22. Wu, Haitao & Xue, Yan & Hao, Yu & Ren, Siyu, 2021. "How does internet development affect energy-saving and emission reduction? Evidence from China," Energy Economics, Elsevier, vol. 103(C).
    23. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    24. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    Full references (including those not matched with items on IDEAS)

    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. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    2. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    3. Xue, Yan & Tang, Chang & Wu, Haitao & Liu, Jianmin & Hao, Yu, 2022. "The emerging driving force of energy consumption in China: Does digital economy development matter?," Energy Policy, Elsevier, vol. 165(C).
    4. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    5. Ma, Ruiyang & Lin, Boqiang, 2023. "Digitalization and energy-saving and emission reduction in Chinese cities: Synergy between industrialization and digitalization," Applied Energy, Elsevier, vol. 345(C).
    6. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    7. Tang, Chang & Xue, Yan & Wu, Haitao & Irfan, Muhammad & Hao, Yu, 2022. "How does telecommunications infrastructure affect eco-efficiency? Evidence from a quasi-natural experiment in China," Technology in Society, Elsevier, vol. 69(C).
    8. Theile, Philipp & Farag, Markos & Kopp, Thomas, 2022. "Does information substitute or complement energy? - A mediation analysis of their relationship in European economies," VfS Annual Conference 2022 (Basel): Big Data in Economics 264123, Verein für Socialpolitik / German Economic Association.
    9. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    10. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    11. Charfeddine, Lanouar & Umlai, Mohamed, 2023. "ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    12. Zhang, Yiren & Ran, Congjing, 2023. "Effect of digital economy on air pollution in China? New evidence from the “National Big Data Comprehensive Pilot Area” policy," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 986-1004.
    13. Zhong Ren & Jie Zhang, 2023. "Digital Economy, Clean Energy Consumption, and High-Quality Economic Development: The Case of China," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    14. Fang, Zhen & Razzaq, Asif & Mohsin, Muhammad & Irfan, Muhammad, 2022. "Spatial spillovers and threshold effects of internet development and entrepreneurship on green innovation efficiency in China," Technology in Society, Elsevier, vol. 68(C).
    15. Tao Ma & Xiaoxi Cao, 2022. "FDI, technological progress, and green total factor energy productivity: evidence from 281 prefecture cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 11058-11088, September.
    16. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    17. Feng, Yidai & Yuan, Huaxi & Liu, Yaobin, 2023. "The energy-saving effect in the new transformation of urbanization," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 41-59.
    18. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    19. Luan, Bingjiang & Zou, Hong & Huang, Junbing, 2023. "Digital divide and household energy poverty in China," Energy Economics, Elsevier, vol. 119(C).
    20. Xu, Qiong & Zhong, Meirui & Li, Xin, 2022. "How does digitalization affect energy? International evidence," Energy Economics, Elsevier, vol. 107(C).

    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:energy:v:284:y:2023:i:c:s0360544223020613. 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.journals.elsevier.com/energy .

    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.