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

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  • 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
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    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).
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