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Urban Resilience and Sustainability

2024, Volume 2, Issue 4: 307-325. doi: 10.3934/urs.2024016
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Research on the impact of digital trade and energy consumption

  • 1.
    School of Economics and Statistics, Guangzhou University, Guangzhou, 510006, China
  • 2.
    Guangzhou College of Applied Science and Technology, Guangzhou, 511370, China
  • 3.
    Institute of Finance, Guangzhou University, Guangzhou, 510405, China
  • Published: 31 October 2024

  • This study investigates the impact of the digital trade on energy consumption, as well as its mechanism, from 2014 to 2022 by developing a digital trade evaluation index system. We find that the growth of the digital trade can reduce per capital energy consumption and also passes various robustness tests. The main influencing mechanism is that the digital trade affects energy structure transformation and changes in final demand, which results in lower energy consumption. In terms of the spatial distribution, the digital trade decreases per capital energy consumption more in the eastern regions and promotes per capital energy consumption reduction less in the central regions, whereas there is no significant correlation in the western regions. The findings extend the benefits of the digital trade beyond economic and social welfare benefits and provide a consultation for digital economy for green development.

    Citation: Siyu Zhang, Songlan Zhou, Mengxin Wang, Leyan Zuo. Research on the impact of digital trade and energy consumption[J]. Urban Resilience and Sustainability, 2024, 2(4): 307-325. doi: 10.3934/urs.2024016

    Related Papers:

  • This study investigates the impact of the digital trade on energy consumption, as well as its mechanism, from 2014 to 2022 by developing a digital trade evaluation index system. We find that the growth of the digital trade can reduce per capital energy consumption and also passes various robustness tests. The main influencing mechanism is that the digital trade affects energy structure transformation and changes in final demand, which results in lower energy consumption. In terms of the spatial distribution, the digital trade decreases per capital energy consumption more in the eastern regions and promotes per capital energy consumption reduction less in the central regions, whereas there is no significant correlation in the western regions. The findings extend the benefits of the digital trade beyond economic and social welfare benefits and provide a consultation for digital economy for green development.



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    [1] Weber RH (2010) Digital trade in WTO-law-taking stock and looking ahead. Asian J WTO Int Heal 5: 1–24. https://doi.org/10.2139/ssrn.1578139 doi: 10.2139/ssrn.1578139
    [2] Ma SZ, Chao F, Liang YF (2018) Digital trade: Definition, practical significance and research prospects. Int Trade 2018: 16–30. https://doi.org/10.13510/j.cnki.jit.2018.10.002 doi: 10.13510/j.cnki.jit.2018.10.002
    [3] Li W, Li T (2023) Study on China's digital trade development and its comprehensive evaluation in provincial level—Based on quantitative measurement analysis of digital trade development in Fujian province. Price: Theory Pract 2023: 171–175. https://doi.org/10.19851/j.cnki.CN11-1010/F.2023.12.469 doi: 10.19851/j.cnki.CN11-1010/F.2023.12.469
    [4] Zhang YF, Li QY (2024) Measurement of China's digital trade development level and dynamic evolution analysis. Commer Econ 2024: 126–130. Available from: https://kns.cnki.net/kcms2/article/abstract?v = k15566fjT2kic5JHCkriIQ7dml8zzR1C3CpBw7gItv4RLemdElxTzNFinubJyjbwCiusih-qljLi7tU292xhosaQNsek9B_xF8k6oxjHXs-Ivb8dCjw9ZzFdZ9rJ1S_hiLDt4P_e34IBh9oSJPYKMpsCVJuFKBFAE7_LW1uiOh3IK1sK0GTVfy20sEIv_qPzKMhrYlyAl0w.
    [5] Pei GF, Liu Y (2024) The impact of digital trade development on industrial structure upgrading in China: An empirical study based on the Spatial Dubin Model. Stat Decis 2024: 162–166. https://doi.org/10.13546/j.cnki.tjyjc.2024.06.029 doi: 10.13546/j.cnki.tjyjc.2024.06.029
    [6] Shen B, Li X (2020) Financial development, industrial structure upgrading and energy efficiency improvement. Inq Econ Issues 41: 131–138. Available from: http://www.jjwtts.com/CN/Y2020/V41/I12/131.
    [7] Zou GN, Huang JQ, Zhang WC (2023) Can environmental taxes reduce China's energy consumption? Econ Theory Bus Manag 43: 95–105. Available from: http://jjll.ruc.edu.cn/CN/Y2023/V43/I6/95.
    [8] Wang J, Zheng HY, Zhang YJ (2021) How does trade liberalization affect energy consumption?—From the perspective of energy-saving technological progress. Zhejiang Acad J 2021: 108–116. https://doi.org/10.16235/j.cnki.33-1005/c.2021.03.012 doi: 10.16235/j.cnki.33-1005/c.2021.03.012
    [9] Lang CL (2012) Empirical research on influence factors of energy consumption in China—Based on different input and output index of technological innovation. Sci Technol Manag Res 32: 60–67. https://doi.org/10.3969/j.issn.1000-7695.2012.17.013 doi: 10.3969/j.issn.1000-7695.2012.17.013
    [10] Hou GS, Hou Y (2021) An empirical analysis of the relationship between environmental regulation, technological innovation and energy consumption. Sci Technol Manag Res 41: 216–223. https://doi.org/10.3969/j.issn.1000-7695.2021.20.026 doi: 10.3969/j.issn.1000-7695.2021.20.026
    [11] Fu ZH, Jing PQ (2022) Local government governance capability, industrial structure transformation, and energy consumption. Stat Decis 38: 162–166. https://doi.org/10.13546/j.cnki.tjyjc.2022.10.032 doi: 10.13546/j.cnki.tjyjc.2022.10.032
    [12] Li BZ, Cai YQ (2021) Measurement of the impact of manufacturing servitization transformation on energy consumption levels—An empirical analysis based on panel data of 39 industries in China. Southeast Acad Res 2021: 159–169. https://doi.org/10.13658/j.cnki.sar.2021.05.017 doi: 10.13658/j.cnki.sar.2021.05.017
    [13] Zhao TT, Xu MB, Qin LG (2023) Research on the impact of green finance on energy consumption structure. J Tech Econ Manag 2023: 55–59. Available from: https://lib.cqvip.com/Qikan/Article/Detail?id = 7110928765 & from = Qikan_Search_Index.
    [14] Sun F, Liu Y, Sun CL (2024) The impact mechanism of digital empowerment on low–carbon transformation of traditional energy industries. Sci Technol Manag Res 44: 172–180. Available from: http://kjglyj.ijournals.cn/kjglyj/article/abstract/20230603018.
    [15] Xie HQ, Yang Q, Wu XD (2023) Study on the impact of digital trade on China's regional carbon emission reduction. Price: Theory Pract 2023: 180–184. https://doi.org/10.19851/j.cnki.CN11-1010/F.2023.11.448 doi: 10.19851/j.cnki.CN11-1010/F.2023.11.448
    [16] Wen CJ (2024) Mechanism analysis of the impact of digital trade on the green efficiency of China's logistics industry. J Commer Econ 2024: 130–134. Available from: https://kns.cnki.net/kcms2/article/abstract?v = k15566fjT2l2pcrVxHu_0nZxqpfh_yzQ6OzpikhlKVdIdCgwdrJsKrYiNqw_2p1Mn4gBF3sd4nUMfohWKQ4LwdVfGsTPfIStBYXWFgGCZO1znovJpmlO3TGF9BpeCz2P5dzBhEMmOfUNgE8Myd51juMk_NV3N5Tg6GrXM5bDnbE36Xyp3L3dkPylw2345gK7S-e8iYDMnLg.
    [17] Bie F, Yang Y, Shen H, et al. (2024) Inclusive digital economy, resource dependence and changes in the urban energy mix: City level analysis from China. Resour Policy 92: 105027. https://doi.org/10.1016/j.resourpol.2024.105027 doi: 10.1016/j.resourpol.2024.105027
    [18] Liu X, Qin C, Liu B, et al. (2024) The economic and environmental dividends of the digital development strategy: Evidence from Chinese cities. J Clean Prod 440: 140398. https://doi.org/10.1016/j.jclepro.2023.140398 doi: 10.1016/j.jclepro.2023.140398
    [19] Zhu Y, Lu S (2024) Digital economy and carbon neutrality: Exploring the pathways and implications for China's sustainable development. J Knowl Econ 2024: 1–18. https://doi.org/10.1007/s13132-024-01931-y doi: 10.1007/s13132-024-01931-y
    [20] Wang L, Zan L (2024) The impact mechanism and spatial effect of digital financial inclusion on energy-environmental efficiency. J Stat Inform 39: 45–59. Available from: https://link.cnki.net/urlid/61.1421.c.20240529.1527.004.
    [21] Zhang BF, Cai LM (2024) The impact of digital economy on the transformation of energy structure: Theoretical mechanism and empirical test. J China Univ Min Technol 26: 153–168. https://doi.org/10.20089/j.cnki.issn.1009-105x.2024.01.013 doi: 10.20089/j.cnki.issn.1009-105x.2024.01.013
    [22] Xu J, Guan Y, Oldfield J, et al. (2024) China carbon emission accounts 2020–2021. Appl Energy 360: 122837. https://doi.org/10.1016/j.apenergy.2024.122837 doi: 10.1016/j.apenergy.2024.122837
    [23] Guan Y, Shan Y, Huang Q, et al. (2021) Assessment to China's recent emission pattern shifts. Earths Future 9: e2021EF002241. https://doi.org/10.1029/2021EF002241 doi: 10.1029/2021EF002241
    [24] Shan Y, Huang Q, Guan D, et al. (2020) China CO2 emission accounts 2016–2017. Sci Data 7: 54. https://doi.org/10.1038/s41597-020-0393-y doi: 10.1038/s41597-020-0393-y
    [25] Shan Y, Guan D, Zheng H, et al. (2018) China CO2 emission accounts 1997–2015. Sci Data 5: 1–14. https://doi.org/10.1038/sdata.2017.201 doi: 10.1038/sdata.2017.201
    [26] Shan Y, Liu J, Liu Z, et al. (2016) New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors. Appl Energy 184: 742–750. https://doi.org/10.1016/j.apenergy.2016.03.073 doi: 10.1016/j.apenergy.2016.03.073
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