Impact Of Digital Economy On Carbon Emission Intensity
The Moderating Effect Of FDI
DOI:
https://doi.org/10.54097/7msyxw95Keywords:
Digital economy, foreign direct investment, carbon intensity, mediating effect, inverted U-shaped relationship.Abstract
The rapid and widespread development of digital economy has given renewed impetus to efforts to peak and reduce carbon emissions, and has heralded significant changes in the energy sector. In this paper, panel data of 70 major countries from 2010 to 2019 are selected as samples, and an indicator system is constructed to measure the level of digital economy development in each country using the entropy weight method to study the development status of digital economy development and carbon emission intensity in each country. This research utilizes a regression model incorporating curve moderating effects to investigate how the carbon emission intensity is influenced by the digital economy, while also considering the moderating influence of foreign direct investment (FDI). The findings unequivocally confirm the presence of a noteworthy U-shaped relationship between the digital economy and carbon emissions. As the digital economy progresses, it moves from supporting to reducing carbon emissions. Improving FDI plays a critical part in regulating the digital economy's relationship to carbon intensity. The shape of the curve is flattened by the moderating effect of FDI. Based on the obtained conclusions, the paper puts forward targeted recommendations in order to curb carbon emissions and further improve the ecological environment.
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Yu, B., Fang, D., Kleit, A.N., Kun, S., 2022a. Exploring the driving mechanism and the evolution of the low‐carbon economy transition: lessons from OECD developed countries. World Econ. 45, 2766–2795.
United Nations Climate Change, 2021. United Nations Framework Convention on climate change (UNFCCC).
Ishida, H., The effect of ICT development on economic growth and energy consumption in Japan. Telematics and Informatics 2015, 32 (1), 79-88.
Wu, H.; Hao, Y.; Ren, S.; Yang, X.; Xie, G., Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy 2021, 153.
Wu, H.; Xue, Y.; Hao, Y.; Ren, S., How does internet development affect energy-saving and emission reduction? Evidence from China. Energy Economics 2021, 103.
Azam, A.; Rafiq, M.; Shafique, M.; Yuan, J., An empirical analysis of the non-linear effects of natural gas, nuclear energy, renewable energy and ICT-Trade in leading CO(2) emitter countries: Policy towards CO(2) mitigation and economic sustainability. J Environ Manage 2021, 286, 112232.
Ren, S.; Hao, Y.; Xu, L.; Wu, H.; Ba, N., Digitalization and energy: How does internet development affect China's energy consumption? Energy Economics 2021, 98.
Kwon, O.; Lee, N.; Shin, B., Data quality management, data usage experience and acquisition intention of big data analytics. International Journal of Information Management 2014, 34 (3), 387-394.
Shin, D.-H.; Choi, M. J., Ecological views of big data: Perspectives and issues. Telematics and Informatics 2015, 32 (2), 311-320.
Hampton, S. E.; Strasser, C. A.; Tewksbury, J. J.; Gram, W. K.; Budden, A. E.; Batcheller, A. L.; Duke, C. S.; Porter, J. H., Big data and the future of ecology. Frontiers in Ecology and the Environment 2013, 11 (3), 156-162.
Dong, F.; Li, Y.; Qin, C.; Zhang, X.; Chen, Y.; Zhao, X.; Wang, C., Information infrastructure and greenhouse gas emission performance in urban China: A difference-in-differences analysis. Journal of Environmental Management 2022, 316.
Dong, F.; Li, Y.; Gao, Y.; Zhu, J.; Qin, C.; Zhang, X., Energy transition and carbon neutrality: Exploring the non-linear impact of renewable energy development on carbon emission efficiency in developed countries. Resources, Conservation and Recycling 2022, 177.
Wang, J.; Dong, X.; Dong, K., How does ICT agglomeration affect carbon emissions? The case of Yangtze River Delta urban agglomeration in China. Energy Economics 2022, 111.
Jin, X.; Yu, W., Information and communication technology and carbon emissions in China: The rebound effect of energy intensive industry. Sustainable Production and Consumption 2022, 32, 731-742.
Salahuddin, M.; Alam, K., Information and Communication Technology, electricity consumption and economic growth in OECD countries: A panel data analysis. International Journal of Electrical Power & Energy Systems 2016, 76, 185-193.
Dong, F.; Pan, Y.; Li, Y.; Zhang, S., How public and government matter in industrial pollution mitigation performance: Evidence from China. Journal of Cleaner Production 2021, 306.
Li, Z.G., Wang, J., 2022. How does the digital economy affect spatial carbon emissions under economic agglomeration? Journal of Xi'an Jiao tong University (Social Sciences) 1–16 in Chinese.
Kim, K.; Bounfour, A.; Nonnis, A.; Özaygen, A., Measuring ICT externalities and their contribution to productivity: A bilateral trade based approach. Telecommunications Policy 2021, 45 (2).
Kim, J.; Park, J. C.; Komarek, T., The impact of Mobile ICT on national productivity in developed and developing countries. Information & Management 2021, 58 (3).
Kouton, J., Information Communication Technology development and energy demand in African countries. Energy 2019, 189.
Tamazian, A., Chousa, J.P., Vadlamannati, K.C., 2008. Does higher economic and financial development lead to environmental degradation: evidence from BRIC countries. Energ Policy 37 (1), 246–253.
Sun, Y.; Bailey, R., Effect of Applied Cathodic Potential on Friction and Wear Behavior of CoCrMo Alloy in NaCl Solution. Lubricants 2020, 8 (11).
Wang, K.; Wu, M.; Sun, Y.; Shi, X.; Sun, A.; Zhang, P., Resource abundance, industrial structure, and regional carbon emissions efficiency in China. Resources Policy 2019, 60, 203-214.
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