| Peer-Reviewed

The Impact of the Digital Economy on China's Carbon Emissions

Received: 28 May 2022     Accepted: 14 June 2022     Published: 27 June 2022
Views:       Downloads:
Abstract

As a new format, the digital economy will inevitably affect the environment while bringing economic benefits. To explore the mechanism, regional differences of the digital economy on carbon emissions, and provides a theoretical basis for the realization of the carbon peaking and carbon neutrality goals of the digital economy. This paper selects China’s provincial panel data from 2011 to 2019, constructs an indicator system to scientifically measure China’s digital economy development level and carbon emission level, and uses the spatial Durbin model to study and analyze the impact of digital economic development on carbon emissions. The results show that: (1) there is a positive spatial correlation between China’s carbon emissions. The development of the digital economy has an inhibitory effect on carbon emissions in both local and adjacent areas, and the effect of locality is greater than that of adjacent areas. (2) there are obvious regional differences in the relationship between digital economy development and carbon emissions in China. The development of digital economy in eastern and central China has a significant inhibitory effect on carbon emissions. However, the inhibitory effect in the central region is slightly stronger than that in the eastern region, and the development of the digital economy in the western region has not yet shown a significant effect on carbon emissions. (3) According to the results of spatial Durbin model, digital economy development in eastern China has a significant negative spillover effect on carbon emissions, while that in central China has a significant positive spillover effect. The research helps to plan the development strategy of the digital economy according to local conditions, implement low-carbon policies according to the right medicine, and effectively alleviate the problem of unbalanced development in different regions.

Published in International Journal of Economics, Finance and Management Sciences (Volume 10, Issue 3)
DOI 10.11648/j.ijefm.20221003.16
Page(s) 134-149
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

Digital Economy, Carbon Emissions, Carbon Neutrality, Spillover Effects, Spatial Dubin Model

References
[1] Ucal M, Xydis G. Multidirectional Relationship between Energy Resources, Climate Changes and Sustainable Development: Technoeconomic Analysis [J]. Sustainable Cities and Society, 2020, 60: 102210.
[2] Company B P. BP statistical review of world energy 2021, British Petroleum Company, 2021. https://www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/statistical-review/bp-stats-review-2021-full- report.pdf, 2021-06-01.
[3] Cui Panpan, Zhao Yuan, Hao Lisha, Xia Siyou, Xu Xin, Tang Wenmin. Evaluation of Inter-provincial Emission Reduction in the Process of Decreasing Carbon Emission Intensity in China's Energy Industry [J]. Geographical Research, 2020, 39 (08): 1864-1878.
[4] Pan Weihua, He Zhengchu, Pan Hongyu. The spatiotemporal evolution and distribution dynamics of China's digital economy development [J]. China Soft Science, 2021 (10): 137-147.
[5] Sturgeon, TJ. Upgrading strategies for the digital economy [J]. Global Strategy Journal. 2021, 11: 34-57.
[6] Sutherland W, Jarrahi M H. The Sharing Economy and Digital Platforms: A Review and Research Agenda [J]. International Journal of Information Management, 2018, 43: 328-341.
[7] Gasparėnienė, L., Remeikienė, R., Ginevičius, R. and Schieg, M. Adoption of MIMIC model for estimation of digital shadow economy [J]. Technological and Economic Development of Economy, 2018, 24 (4): 1453-1465.
[8] Chihiro W, Kashif N, Yuji T, et al. Measuring GDP in the digital economy: Increasing dependence on uncaptured GDP [J]. Technological Forecasting and Social Change, 2018, 137: 226-240.
[9] Li Y, Yang X, Ran Q, et al. Energy structure, digital economy, and carbon emissions: evidence from China [J]. Environmental Science and Pollution Research, 2021, 28 (45): 64606-64629.
[10] Liu Y, Yang Y, Li H, Zhong K. Digital Economy Development, Industrial Structure Upgrading and Green Total Factor Productivity: Empirical Evidence from China’s Cities [J]. International Journal of Environmental Research and Public Health. 2022, 19 (4): 2414.
[11] Watanabe C, Naveed N, Neittaanmaki P. Digitalized bioeconomy: Planned obsolescence- driven circular economy enabled by Co-Evolutionary coupling [J]. Technology in society, 2019, 56: 8-30.
[12] Wassily W. Leontief. Professor Wassily W. Leontief, 1905-1999 [J]. Economic Journal, 2000, 110 (467): 695-707.
[13] Su B, Ang B W, Li Y. Input-output and structural decomposition analysis of Singapore's carbon emissions [J]. Energy Policy, 2017, 105: 484-492.
[14] Mei Shang, Haochen Geng. A study on carbon emission calculation of residential buildings based on whole life cycle evaluation [J]. E3S Web of Conferences, 2021, 261 (2): 04013.
[15] Li Tingyu, Xiong Hui, Wang Mingli. How to develop China's dairy industry under the "dual carbon" goal: A study on the carbon emissions of dairy industry from the perspective of the whole industry chain [J]. Issues in Agricultural Economy, 2022 (02): 17-29.
[16] Zhang Mei, Huang Xianjin, Chui Xiaowei. Research on China's Urban Carbon Emission Accounting and Influencing Factors [J]. Ecological Economy, 2019, 35 (09): 13-19+74.
[17] Shi K, Yu B, Zhou Y, et al. Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels [J]. Applied Energy, 2019, 233-234.
[18] Obas J E, Anthony J I. Decomposition analysis of CO2 emission intensity Between oil-producing and non-oil-producingsub-Saharan African countries. Energy Policy, 2006, 34 (18): 3599-3611.
[19] Bhattacharyya S C, Matsumura W. Changes in the GHG emission intensity in EU-15: Lessons from a decompositionanalysis. Energy, 2010, 35 (8): 3315-3322.
[20] Simone G, Petra K, Julia K et al. Long-term changes in CO2 emissions in Austria and Czechoslovakia: Identifying thedrivers of environmental pressures. Energy Policy, 2011, 39 (2): 535-543.
[21] Zhang C., Su B., Zhou K., et al. Decomposition analysis of China's CO2 emissions (2000-2016) and scenario analysis of its carbon intensity targets in 2020 and 2030 [J]. Science of The Total Environment, 2019, 668: 432-442.
[22] Sanglimsuwan K, The Impact of Population Pressure Emission on Evidence from a Panel-Econometric Analysis [J]. International Research Journal of Finance and Economics, 2012 (82): 89-94.
[23] Chontanawat J. Driving Forces of Energy-Related CO2 Emissions Based on Expanded IPAT Decomposition Analysis: Evidence from ASEAN and Four Selected Countries [J]. Energies, 2019, 12 (4): 764-776.
[24] Manta Alina Georgiana, Florea Nicoleta Mihaela, Bădîrcea Roxana Maria, Popescu Jenica, Cîrciumaru Daniel, Doran Marius Dalian. The Nexus between Carbon Emissions, Energy Use, Economic Growth and Financial Development: Evidence from Central and Eastern European Countries [J]. Sustainability, 2020, 12 (18): 7747.
[25] Song Wenfei, Mao Hui, Han Xianfeng. The two-sided effects of foreign direct investment on carbon emissions performance in China [J]. Science of the Total Environment, 2021, 791: 148331.
[26] Wang Yafei, Liao Meng, Wang Yafei, Xu Lixiao, Malik Arunima. The impact of foreign direct investment on China's carbon emissions through energy intensity and emissions trading system [J]. Energy Economics, 2021, 97: 105212.
[27] Jin xiaoyu, Cao long, zhang jingyu. Effects of solar radiation modification on the ocean carbon cycle: An earth system modeling study [J]. Atmospheric and Oceanic Science Letters, 2022, 100187.
[28] Tapscott D. The Digital Economy: Promise and Peril In The Age of Networked Intelligence [M]. New York: McGraw Hill, 1996.
[29] Aguila, Padilla A, Ana R, Serarols C, et al. Digital economy and management in Spain [J]. Internet Research, 2003, 13 (1): 6-16.
[30] Chihiro Watanabe, Kashif Naveed, Yuji T, et al. Measuring GDP in the digital economy: Increasing dependence on uncaptured GDP [J]. Technological Forecasting and Social Change, 2018, 137.
[31] Pei Changhong, Ni Jiangfei, Li Yue. Analysis of Political Economy of Digital Economy [J]. Finance & Trade Economics, 2018, 39 (09): 5-22.
[32] Xie Kang, Xiao Jinghua. New problems, new characteristics and new laws of digital economy facing national needs [J]. Reform, 2022 (01): 85-100.
[33] Xu Xianchun, Zhang Meihui. Research on the Scale Measurement of China's Digital Economy——Based on the Perspective of International Comparison [J]. China Industrial Economics, 2020 (05): 23-41.
[34] Zuoqi Chen, Ye Wei, Kaifang Shi et. al. The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level [J]. Computers, Environment and Urban Systems, 2022, 92: 101749.
[35] Chen Menggen, Zhang Xin. Scale measurement and productivity analysis of China's digital economy [J]. The Journal of Quantitative & Technical Economics, 2022, 39 (01): 3-27.
[36] Su J, Su K, Wang S. Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation [J]. Sustainability, 2021, 13 (18): 10105.
[37] Chen B, Zhu H. Has the Digital Economy Changed the Urban Network Structure in China?—Based on the Analysis of China’s Top 500 New Economy Enterprises in 2020 [J]. Sustainability, 2022, 14 (1): 150.
[38] Ren S., Li L., Han Y., Hao Y., Wu H. The emerging driving force of inclusive green growth: Does digital economy agglomeration work? [J]. Business Strategy and the Environment, 2022: 1-23.
[39] Savchenko A. B., Borodina T. L. Green and Digital Economy for Sustainable Development of Urban Areas [J]. Regional Research of Russia, 2020, 10 (4): 12-20.
[40] Yang X, Wu H, Ren S, et al. Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test [J]. Structural Change and Economic Dynamics, 2021, 56: 207-224.
[41] Haseeb Abdul, Xia Enjun, S aud Shah, Ahmad Ashfaq, Khurshid Hamid. Does information and communication technologies improve environmental quality in the era of globalization? An empirical analysis. [J]. Environmental science and pollution research international, 2019, 26 (9): 8594-8608.
[42] Ulucak R, Danish, Khan, SU-D. Does information and communication technology affect CO2 mitigation under the pathway of sustainable development during the mode of globalization? [J]. Sustainable Development, 2020, 28 (4): 857-867.
[43] Bhujabal P., Sethi N., Padhan P. C. ICT, foreign direct investment and environmental pollution in major Asia Pacific countries [J]. Environmental Science and Pollution Research, 2021, 28 (31): 42649-42669.
[44] Shobande OA. Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification [J]. Sustainability. 2021, 13 (9): 4683.
[45] Xu Weixiang, Zhou Jianping, Liu Chengjun. The spatial effect of digital economy development on urban carbon emissions [J]. Geographical Research, 2022, 41 (01): 111-129.
[46] Guo Feng, Wang Jingyi, Wang Fang, Kong Tao, Zhang Xun, Cheng Zhiyun. Measuring the Development of China's Digital Financial Inclusion: Index Compilation and Spatial Characteristics [J]. China Economic Quarterly, 2020, 19 (04): 1401-1418.
Cite This Article
  • APA Style

    Xinman Lv, Hang Yu, Ying Zhang. (2022). The Impact of the Digital Economy on China's Carbon Emissions. International Journal of Economics, Finance and Management Sciences, 10(3), 134-149. https://doi.org/10.11648/j.ijefm.20221003.16

    Copy | Download

    ACS Style

    Xinman Lv; Hang Yu; Ying Zhang. The Impact of the Digital Economy on China's Carbon Emissions. Int. J. Econ. Finance Manag. Sci. 2022, 10(3), 134-149. doi: 10.11648/j.ijefm.20221003.16

    Copy | Download

    AMA Style

    Xinman Lv, Hang Yu, Ying Zhang. The Impact of the Digital Economy on China's Carbon Emissions. Int J Econ Finance Manag Sci. 2022;10(3):134-149. doi: 10.11648/j.ijefm.20221003.16

    Copy | Download

  • @article{10.11648/j.ijefm.20221003.16,
      author = {Xinman Lv and Hang Yu and Ying Zhang},
      title = {The Impact of the Digital Economy on China's Carbon Emissions},
      journal = {International Journal of Economics, Finance and Management Sciences},
      volume = {10},
      number = {3},
      pages = {134-149},
      doi = {10.11648/j.ijefm.20221003.16},
      url = {https://doi.org/10.11648/j.ijefm.20221003.16},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20221003.16},
      abstract = {As a new format, the digital economy will inevitably affect the environment while bringing economic benefits. To explore the mechanism, regional differences of the digital economy on carbon emissions, and provides a theoretical basis for the realization of the carbon peaking and carbon neutrality goals of the digital economy. This paper selects China’s provincial panel data from 2011 to 2019, constructs an indicator system to scientifically measure China’s digital economy development level and carbon emission level, and uses the spatial Durbin model to study and analyze the impact of digital economic development on carbon emissions. The results show that: (1) there is a positive spatial correlation between China’s carbon emissions. The development of the digital economy has an inhibitory effect on carbon emissions in both local and adjacent areas, and the effect of locality is greater than that of adjacent areas. (2) there are obvious regional differences in the relationship between digital economy development and carbon emissions in China. The development of digital economy in eastern and central China has a significant inhibitory effect on carbon emissions. However, the inhibitory effect in the central region is slightly stronger than that in the eastern region, and the development of the digital economy in the western region has not yet shown a significant effect on carbon emissions. (3) According to the results of spatial Durbin model, digital economy development in eastern China has a significant negative spillover effect on carbon emissions, while that in central China has a significant positive spillover effect. The research helps to plan the development strategy of the digital economy according to local conditions, implement low-carbon policies according to the right medicine, and effectively alleviate the problem of unbalanced development in different regions.},
     year = {2022}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - The Impact of the Digital Economy on China's Carbon Emissions
    AU  - Xinman Lv
    AU  - Hang Yu
    AU  - Ying Zhang
    Y1  - 2022/06/27
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijefm.20221003.16
    DO  - 10.11648/j.ijefm.20221003.16
    T2  - International Journal of Economics, Finance and Management Sciences
    JF  - International Journal of Economics, Finance and Management Sciences
    JO  - International Journal of Economics, Finance and Management Sciences
    SP  - 134
    EP  - 149
    PB  - Science Publishing Group
    SN  - 2326-9561
    UR  - https://doi.org/10.11648/j.ijefm.20221003.16
    AB  - As a new format, the digital economy will inevitably affect the environment while bringing economic benefits. To explore the mechanism, regional differences of the digital economy on carbon emissions, and provides a theoretical basis for the realization of the carbon peaking and carbon neutrality goals of the digital economy. This paper selects China’s provincial panel data from 2011 to 2019, constructs an indicator system to scientifically measure China’s digital economy development level and carbon emission level, and uses the spatial Durbin model to study and analyze the impact of digital economic development on carbon emissions. The results show that: (1) there is a positive spatial correlation between China’s carbon emissions. The development of the digital economy has an inhibitory effect on carbon emissions in both local and adjacent areas, and the effect of locality is greater than that of adjacent areas. (2) there are obvious regional differences in the relationship between digital economy development and carbon emissions in China. The development of digital economy in eastern and central China has a significant inhibitory effect on carbon emissions. However, the inhibitory effect in the central region is slightly stronger than that in the eastern region, and the development of the digital economy in the western region has not yet shown a significant effect on carbon emissions. (3) According to the results of spatial Durbin model, digital economy development in eastern China has a significant negative spillover effect on carbon emissions, while that in central China has a significant positive spillover effect. The research helps to plan the development strategy of the digital economy according to local conditions, implement low-carbon policies according to the right medicine, and effectively alleviate the problem of unbalanced development in different regions.
    VL  - 10
    IS  - 3
    ER  - 

    Copy | Download

Author Information
  • School of Economics, Ocean University of China, Qingdao, China

  • Qingdao No. 58 High School, Qingdao, China

  • Yinzhu Sub-district Office, Qingdao, China

  • Sections