Assessing the Contribution of the Digital Economy to Rural Industrial Revitalization
评估数字经济对农村产业振兴的贡献
DOI:
https://doi.org/10.65967/siss.v44i3.146Keywords:
Digital economy, Rural industrial revitalization, Sustainable development, Technological innovation, Spatial spillover effectsAbstract
The digital economy has emerged as a key driver of rural industrial development in China, contributing significantly to the country’s economic and social advancement. Using panel data from 30 Chinese provinces covering the period 2011–2021, this study examines the impact of the digital economy on rural industrial revitalization from a sustainable development perspective. The empirical results indicate that the digital economy significantly promotes rural industrial revitalization, while scientific and technological innovation acts as an important mediating mechanism in this relationship.The analysis further reveals notable regional heterogeneity, with the strongest impact observed in central regions, followed by western and eastern regions. Moreover, the influence of the digital economy varies across regions with different levels of rural employment. As the capacity for scientific and technological innovation improves, the positive effect of the digital economy on rural industrial development becomes increasingly pronounced. In addition, the digital economy generates spatial spillover effects, positively influencing local rural industries while exerting negative spillover effects on neighboring regions. Overall, these findings highlight the critical role of the digital economy in fostering sustainable development and promoting rural industrial revitalization in China.
Downloads
References
Castellacci, F., & Tveito, V. (2018). Internet use and well-being: A survey and a theoretical framework. Research Policy, 47(1), 308–325. https://doi.org/10.1016/j.respol.2017.11.007
Chen, M., & Long, Y. A. (2024). Empowering rural revitalization: Unleashing the potential of e-commerce for sustainable industrial integration. Journal of the Knowledge Economy, 1–19. https://doi.org/10.1007/s13132-024-01813-3
Chen, L., & Wang, K. (2022). The spatial spillover effect of low-carbon city pilot scheme on green efficiency in China’s cities: Evidence from a quasi-natural experiment. Energy Economics, 110, 106018. https://doi.org/10.1016/j.eneco.2022.106018
Du, Q., Zhou, F., Yang, T., & Du, M. (2023). Digital financial inclusion, household financial participation and well-being: Micro-evidence from China. Emerging Markets Finance and Trade, 59(6), 1782–1796. https://doi.org/10.1080/1540496X.2022.2153592
Gao, D., Yan, Z., Zhou, X., & Mo, X. (2023). Smarter and prosperous: Digital transformation and enterprise performance. Systems, 11(7), 329. https://doi.org/10.3390/systems11070329
Goodell, J. W., Nammouri, H., Sâadaoui, F., & Ben Jabeur, S. (2023a). Carbon allowances amid climate change concerns: Fresh insights from wavelet multiscale analysis. Finance Research Letters, 55, 103871. https://doi.org/10.1016/j.frl.2023.103871
Goodell, J. W., Yadav, M. P., Ruan, J., Abedin, M. Z., & Malhotra, N. (2023b). Traditional assets, digital assets and renewable energy: Investigating connectedness during COVID-19 and the Russia–Ukraine war. Finance Research Letters, 58, 104323. https://doi.org/10.1016/j.frl.2023.104323
Guo, B., Wang, Y., Zhang, H., Liang, C., Feng, Y., & Hu, F. (2023). Impact of the digital economy on high-quality urban economic development: Evidence from Chinese cities. Economic Modelling, 120, 106194. https://doi.org/10.1016/j.econmod.2023.106194
Hansen, B. E. (1999). Threshold effects in non-dynamic panels: Estimation, testing, and inference. Journal of Econometrics, 93(2), 345–368. https://doi.org/10.1016/S0304-4076(99)00025-1
Heredia, J., Castillo-Vergara, M., Geldes, C., Gamarra, F. M. C., Flores, A., & Heredia, W. (2022). How do digital capabilities affect firm performance? The mediating role of technological capabilities in the “new normal”. Journal of Innovation & Knowledge, 7(2), 100171. https://doi.org/10.1016/j.jik.2022.100171
Hunjra, A. I., Zhao, S., Goodell, J. W., & Liu, X. (2024). Digital economy policy and corporate low-carbon innovation: Evidence from a quasi-natural experiment in China. Finance Research Letters, 60, 104910. https://doi.org/10.1016/j.frl.2023.104910
Huo, P., & Wang, L. (2022). Digital economy and business investment efficiency: Inhibiting or facilitating? Research in International Business and Finance, 63, 101797. https://doi.org/10.1016/j.ribaf.2022.101797
Jiang, Q., Li, J., Si, H., & Su, Y. (2022). The impact of the digital economy on agricultural green development: Evidence from China. Agriculture, 12(8), 1107. https://doi.org/10.3390/agriculture12081107
Kirschning, R., & Mrożewski, M. (2024). Revisiting the knowledge spillover paradox: The impact of infrastructure. Small Business Economics, 63(1), 1–20. https://doi.org/10.1007/s11187-023-00833-8
Lee, C. C., Tang, M., & Lee, C. C. (2023). Reaping digital dividends: Digital inclusive finance and high-quality development of enterprises in China. Telecommunications Policy, 47(2), 102484. https://doi.org/10.1016/j.telpol.2022.102484
Lee, C. C., & Wang, F. (2022). How does digital inclusive finance affect carbon intensity? Economic Analysis and Policy, 75, 174–190. https://doi.org/10.1016/j.eap.2022.05.010
Li, J., Chen, L., Chen, Y., & He, J. (2022). Digital economy, technological innovation, and green economic efficiency: Empirical evidence from 277 cities in China. Managerial and Decision Economics, 43(3), 616–629. https://doi.org/10.1002/mde.3406
Li, F., Zang, D., Chandio, A. A., Yang, D., & Jiang, Y. (2023). Farmers’ adoption of digital technology and agricultural entrepreneurial willingness: Evidence from China. Technology in Society, 73, 102253. https://doi.org/10.1016/j.techsoc.2023.102253
Liu, Y., Zang, Y., & Yang, Y. (2020). China’s rural revitalization and development: Theory, technology and management. Journal of Geographical Sciences, 30, 1923–1942. https://doi.org/10.1007/s11442-020-1819-3
Ma, D., & Zhu, Q. (2022). Innovation in emerging economies: Research on the digital economy driving high-quality green development. Journal of Business Research, 145, 801–813. https://doi.org/10.1016/j.jbusres.2022.03.041
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. https://doi.org/10.1016/j.jbusres.2021.09.061
Park, R. E. (1932). The development of extraterritoriality in China. American Journal of Sociology, 37(5), 806–809. https://doi.org/10.1086/215869
Partridge, M. D., Boarnet, M., Brakman, S., & Ottaviano, G. (2012). Introduction: Whither spatial econometrics? Journal of Regional Science, 52(2), 167–171. https://doi.org/10.1111/j.1467-9787.2012.00767.x
Peng, Z., & Dan, T. (2023). Digital dividend or digital divide? Digital economy and urban–rural income inequality in China. Telecommunications Policy, 47(9), 102616. https://doi.org/10.1016/j.telpol.2023.102616
Peng, Y., & Tao, C. (2022). Can digital transformation promote enterprise performance? From the perspective of public policy and innovation. Journal of Innovation & Knowledge, 7(3), 100198. https://doi.org/10.1016/j.jik.2022.100198
Rijswijk, K., Klerkx, L., Bacco, M., Bartolini, F., Bulten, E., Debruyne, L., Dessein, J., Scotti, I., & Brunori, G. (2021). Digital transformation of agriculture and rural areas: A socio-cyber-physical system framework to support responsibilisation. Journal of Rural Studies, 85, 79–90. https://doi.org/10.1016/j.jrurstud.2021.05.003
Shahbaz, M., Patel, N., Du, A. M., & Ahmad, S. (2024). From black to green: Quantifying the impact of economic growth, resource management, and green technologies on CO₂ emissions. Journal of Environmental Management, 360, 121091. https://doi.org/10.1016/j.jenvman.2024.121091
Shen, Z., Wang, S., Boussemart, J. P., & Hao, Y. (2022). Digital transition and green growth in Chinese agriculture. Technological Forecasting and Social Change, 181, 121742. https://doi.org/10.1016/j.techfore.2022.121742
Struik, P. C., & Kuyper, T. W. (2017). Sustainable intensification in agriculture: The richer shade of green. Agronomy for Sustainable Development, 37(5), 1–15. https://doi.org/10.1007/s13593-017-0445-7
Sun, H., Edziah, B. K., Kporsu, A. K., Sarkodie, S. A., & Taghizadeh-Hesary, F. (2021). Energy efficiency: The role of technological innovation and knowledge spillover. Technological Forecasting and Social Change, 167, 120659. https://doi.org/10.1016/j.techfore.2021.120659
Tan, L., Yang, Z., Irfan, M., Ding, C. J., Hu, M., & Hu, J. (2024). Toward low-carbon sustainable development: Exploring the impact of digital economy development and industrial restructuring. Business Strategy and the Environment, 33(3), 2159–2172. https://doi.org/10.1002/bse.3584
Tang, Y., & Chen, M. (2022). The impact of agricultural digitization on the high-quality development of agriculture: An empirical test based on provincial panel data. Land, 11(12), 2152. https://doi.org/10.3390/land11122152
Tapscott, D. (1996). The digital economy: Promise and peril in the age of networked intelligence. McGraw-Hill.
Wang, H., Li, G., & Hu, Y. (2024a). Impact of the digital economy on public security: Evidence from rural China. Applied Economics Letters, 31, 1–5. https://doi.org/10.1080/13504851.2024.2331665
Wang, H., Peng, G., & Du, H. (2024b). Digital economy development boosts urban resilience: Evidence from China. Scientific Reports, 14(1), 2925. https://doi.org/10.1038/s41598-024-52191-4
Wang, S., Song, Y., Du, A. M., & Liang, J. (2024c). The digital economy and entrepreneurial dynamics: An empirical analysis of urban regions in China. Research in International Business and Finance, 71, 102459. https://doi.org/10.1016/j.ribaf.2024.102459
Wen, Z., Chang, L., Hau, K. T., & Liu, H. (2004). Testing and application of the mediating effects. Acta Psychologica Sinica, 36(5), 614–620.
Xu, J., Tong, X., & Yang, B. (2024). The spatial spillover effect of carbon emission trading scheme on green innovation in China’s cities. Annals of Regional Science, 1–31. https://doi.org/10.1007/s00168-024-01285-y
Xu, N., Zhao, D., Zhang, W., Liu, M., & Zhang, H. (2022). Does digital transformation promote agricultural carbon productivity in China? Land, 11(11), 1966. https://doi.org/10.3390/land11111966
Yang, C., Ji, X., Cheng, C., Liao, S., Obuobi, B., & Zhang, Y. (2024). Digital economy empowers sustainable agriculture: Implications for farmers’ adoption of ecological agricultural technologies. Ecological Indicators, 159, 111723. https://doi.org/10.1016/j.ecolind.2024.111723
Yang, G., Zhou, C., & Zhang, J. (2023). Does industry convergence between agriculture and related sectors alleviate rural poverty: Evidence from China. Environment, Development and Sustainability, 25(11), 12887–12914. https://doi.org/10.1007/s10668-022-02594-y
Yi, M., Liu, Y., Sheng, M. S., & Wen, L. (2022). Effects of digital economy on carbon emission reduction: New evidence from China. Energy Policy, 171, 113271. https://doi.org/10.1016/j.enpol.2022.113271
Yilmaz, S., Haynes, K. E., & Dinc, M. (2002). Geographic and network neighbors: Spillover effects of telecommunications infrastructure. Journal of Regional Science, 42(2), 339–360. https://doi.org/10.1111/1467-9787.00262
Zhang, Y. F., Ji, M. X., & Zheng, X. Z. (2023a). Digital economy, agricultural technology innovation, and agricultural green total factor productivity. SAGE Open, 13(3), 21582440231194388. https://doi.org/10.1177/21582440231194388
Zhang, Y., Ma, X., Pang, J., Xing, H., & Wang, J. (2023b). The impact of digital transformation of manufacturing on corporate performance: The mediating effect of business model innovation and the moderating effect of innovation capability. Research in International Business and Finance, 64, 101890. https://doi.org/10.1016/j.ribaf.2023.101890
Zhang, Z., Sun, C., & Wang, J. (2023c). How can the digital economy promote the integration of rural industries? Evidence from China. Agriculture, 13(10), 2023. https://doi.org/10.3390/agriculture13102023
Zhao, S., Teng, L., Arkorful, V. E., & Hu, H. (2023). Impacts of digital government on regional eco-innovation: Moderating role of dual environmental regulations. Technological Forecasting and Social Change, 196, 122842. https://doi.org/10.1016/j.techfore.2023.122842
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Studies in Science of Science

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


