Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model


  • Mingyue Du School of Social Science, Swinburne University of Technology, Melbourne, Australia
  • Siyu Ren School of Economics, Nankai University, Tianjin, China



Digital economy, Industrial green transformation, Environmental Regulation, Spatial Durbin model, China


The digital economy based on digital technology is an important force for high-quality economic growth and industrial transformation, and has great potential for value creation. Based on the data of 30 provinces in China from 2007 to 2017, this paper uses entropy method to calculate the industrial green transformation (IGT), and empirically analyzes the impact of Digital economy on IGT. The DE can significantly reduce IGT of local and neighboring areas after excluding the influence of macro system factors and replacing the spatial weight matrix. The DE can indirectly reduce the IGT by accelerating the accumulation of human capital, and green technology innovation. The impact of digital economy on IGT is a non-linear relationship. With the further improvement of environmental regulation, financial development and intellectual property protection, the role of digital economy in IGT is more obvious. To this end, it is necessary to speed up the construction and improvement of digital infrastructure, build an integrated layout of "digital infrastructure", give full play to the radiating role of the digital economy, and implement differentiated development paths based on regional comparative advantages.


Dahlman, C., Mealy, S., & Wermelinger, M. (2016). Harnessing the digital economy for developing countries.

Deng, H., Bai, G., Shen, Z., & Xia, L. (2022). Digital economy and its spatial effect on green productivity gains in manufacturing: Evidence from China. Journal of Cleaner Production, 378, 134539.

Ding, C., Liu, C., Zheng, C., & Li, F. (2021). Digital economy, technological innovation and high-quality economic development: Based on spatial effect and mediation effect. Sustainability, 14(1), 216.

Dong, F., Hu, M., Gao, Y., Liu, Y., Zhu, J., & Pan, Y. (2022). How does digital economy affect carbon emissions? Evidence from global 60 countries. Science of The Total Environment, 852, 158401.

Du, M., Hou, Y., Zhou, Q., & Ren, S. (2022). Going green in China: How does digital finance affect environmental pollution? Mechanism discussion and empirical test, Environmental Science and Pollution Research, 7(1):1–15.

Feng, Z., & Chen, W. (2018). Environmental regulation, green innovation, and industrial green development: An empirical analysis based on the Spatial Durbin model. Sustainability, 10(1), 223.

Fu, J., Xiao, G., Guo, L., & Wu, C. (2018). Measuring the dynamic efficiency of regional industrial green transformation in China. Sustainability, 10(3), 628.

Han, D., Li, T., Feng, S., & Shi, Z. (2020). Does renewable energy consumption successfully promote the green transformation of China’s industry?. Energies, 13(1), 229.

Hao, X., Li, Y., Ren, S., Wu, H., & Hao, Y. (2023). The role of digitalization on green economic growth: Does industrial structure optimization and green innovation matter?. Journal of Environmental Management, 325, 116504.

Hao, Y., Huang, J., Guo, Y., Wu, H., & Ren, S. (2022). Does the legacy of state planning put pressure on ecological efficiency? Evidence from China. Business Strategy and the Environment, 31:403–424.

Hou, J., Teo, T. S., Zhou, F., Lim, M. K., & Chen, H. (2018). Does industrial green transformation successfully facilitate a decrease in carbon intensity in China? An environmental regulation perspective. Journal of cleaner production, 184, 1060-1071.

Jin, G., Shen, K., & Li, J. (2020). Interjurisdiction political competition and green total factor productivity in China: An inverted-U relationship. China Economic Review, 61, 101224.

Kumbhakar, S. C., & Tsionas, E. G. (2006). Estimation of stochastic frontier production functions with input-oriented technical efficiency. Journal of Econometrics, 133(1), 71-96.

Lange, S., Pohl, J., & Santarius, T. (2020). Digitalization and energy consumption. Does ICT reduce energy demand?. Ecological Economics, 176, 106760.

Li, K., & Lin, B. (2017). Economic growth model, structural transformation, and green productivity in China. Applied Energy, 187, 489-500.

Li, K., Kim, D. J., Lang, K. R., Kauffman, R. J., & Naldi, M. (2020). How should we understand the digital economy in Asia? Critical assessment and research agenda. Electronic commerce research and applications, 44, 101004.

Liu, D., Wang, G., Sun, C., Majeed, M. T., & Andlib, Z. (2022a). An analysis of the effects of human capital on green growth: effects and transmission channels. Environmental Science and Pollution Research, 1-8.

Liu, P., Zhao, Y., Zhu, J., & Yang, C. (2022b). Technological industry agglomeration, green innovation efficiency, and development quality of city cluster. Green Finance, 4(4), 411-435.

Luo, K., Liu, Y., Chen, P. F., & Zeng, M. (2022). Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt. Energy Economics, 112, 106127.

Luo, Y., Salman, M., & Lu, Z. (2021). Heterogeneous impacts of environmental regulations and foreign direct investment on green innovation across different regions in China. Science of the total environment, 759, 143744

Mao, W., Wang, W., & Sun, H. (2019). Driving patterns of industrial green transformation: A multiple regions case learning from China. Science of The Total Environment, 697, 134134.

Meng, F., & Zhao, Y. (2022). How does digital economy affect green total factor productivity at the industry level in China: From a perspective of global value chain. Environmental Science and Pollution Research, 29(52), 79497-79515.

Meng, Y., Liu, L., Xu, Z., Gong, W., & Yan, G. (2022). Research on the Heterogeneity of Green Biased Technology Progress in Chinese Industries—Decomposition Index Analysis Based on the Slacks-based measure integrating (SBM). Journal of Economic Analysis, 1(2), 17-34.

Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government information quarterly, 36(4), 101385.

Murthy, K. B., Kalsie, A., & Shankar, R. (2021). Digital economy in a global perspective: is there a digital divide?. Transnational Corporations Review, 13(1), 1-15.

Nadal, M., Marquès, M., Mari, M., & Domingo, J. L. (2015). Climate change and environmental concentrations of POPs: A review. Environmental research, 143, 177-185.

Pan, W., Xie, T., Wang, Z., & Ma, L. (2022). Digital economy: An innovation driver for total factor productivity. Journal of Business Research, 139, 303-311.

Qi, Y., Zou, X., & Xu, M. (2022). Impact of Chinese fiscal decentralization on industrial green transformation: From the perspective of environmental fiscal policy. Frontiers in Environmental Science, 10, 2046.

Ren, S., Hao, Y., & Wu, H. (2022a). Digitalization and environment governance: does internet development reduce environmental pollution?. Journal of Environmental Planning and Management, 1-30.

Ren, S., Hao, Y., Xu, L., Wu, H., & Ba, N. (2021). Digitalization and energy: How does internet development affect China's energy consumption?. Energy Economics, 98, 105220.

Ren, S., Liu, Z., Zhanbayev, R., & Du, M. (2022b). Does the internet development put pressure on energy-saving potential for environmental sustainability? Evidence from China. Journal of Economic Analysis, 1(1), 50-65.

Rogers, D. L. (2016). The digital transformation playbook: Rethink your business for the digital age. Columbia University Press.

Rouse, M. (2016). Digital economy. Techtarget, Newton, MA.

Scoones, I., Leach, M., & Newell, P. (2015). The politics of green transformations (p. 238). Taylor & Francis.

Sorescu, A., & Schreier, M. (2021). Innovation in the digital economy: a broader view of its scope, antecedents, and consequences. Journal of the Academy of Marketing Science, 49(4), 627-631.

Sulemana, I. (2016). Are happier people more willing to make income sacrifices to protect the environment?. Social Indicators Research, 127(1), 447-467.

Teece, D. J. (2018). Profiting from innovation in the digital economy: Enabling technologies, standards, and licensing models in the wireless world. Research policy, 47(8), 1367-1387.

Tian, C., Li, X., Xiao, L., & Zhu, B. (2022). Exploring the impact of green credit policy on green transformation of heavy polluting industries. Journal of Cleaner Production, 335, 130257.

Ustundag, A., & Cevikcan, E. (2017). Industry 4.0: managing the digital transformation. Springer.

Wang, M., Xu, M., & Ma, S. (2021). The effect of the spatial heterogeneity of human capital structure on regional green total factor productivity. Structural Change and Economic Dynamics, 59, 427-441.

Wang, W., Yang, X., Cao, J., Bu, W., Adebayo, T. S., Dilanchiev, A., & Ren, S. (2022). Energy internet, digital economy, and green economic growth: Evidence from China. Innovation and Green Development, 1(2), 100011.

Wu, H., Ba, N., Ren, S., Xu, L., Chai, J., Irfan, M., ... & Lu, Z. N. (2022). The impact of internet development on the health of Chinese residents: Transmission mechanisms and empirical tests. Socio-Economic Planning Sciences, 81, 101178.

Wu, H., Hao, Y., Ren, S., Yang, X., & Xie, G. (2021a). Does internet development improve green total factor energy efficiency? Evidence from China. Energy Policy, 153, 112247.

Wu, H., Xue, Y., Hao, Y., & Ren, S. (2021b). How does internet development affect energy-saving and emission reduction? Evidence from China. Energy Economics, 103, 105577.

Xu, S., Yang, C., Huang, Z., & Failler, P. (2022). Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective. International Journal of Environmental Research and Public Health, 19(9), 5074.

Yang, X., Wang, W., Su, X., Ren, S., Ran, Q., Wang, J., & Cao, J. (2022). Analysis of the influence of land finance on haze pollution: An empirical study based on 269 prefecture‐level cities in China. Growth and Change, 4, 1-29.

Yang, X., Wu, H., Ren, S., Ran, Q., & Zhang, J. (2021). Does the development of the internet contribute to air pollution control in China? Mechanism discussion and empirical test. Structural Change and Economic Dynamics, 56, 207-224.

Zandalinas, S. I., Fritschi, F. B., & Mittler, R. (2021). Global warming, climate change, and environmental pollution: recipe for a multifactorial stress combination disaster. Trends in Plant Science, 26(6), 588-599.

Zhai, X., & An, Y. (2020). Analyzing influencing factors of green transformation in China’s manufacturing industry under environmental regulation: A structural equation model. Journal of Cleaner Production, 251, 119760.

Zhai, X., & An, Y. (2021). The relationship between technological innovation and green transformation efficiency in China: An empirical analysis using spatial panel data. Technology in Society, 64, 101498.

Zhao, X., Ding, X., & Li, L. (2021). Research on environmental regulation, technological innovation and green transformation of manufacturing industry in the Yangtze River Economic Belt. Sustainability, 13(18), 10005.

Zhou, Q., Du, M., & Ren, S. (2022). How government corruption and market segmentation affect green total factor energy efficiency in the post-COVID-19 era: Evidence from China. Frontiers in Energy Research, 10, 1-15.




How to Cite

Du, M., & Ren, S. (2023). Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model. Journal of Information Economics, 1(1), 1–17.