Dividend differentiation, latecomer advantage and diminishing returns: the heterogenous impact of digital technology progress on China’s economic modernization
DOI: https://doi.org/10.3846/tede.2026.25168Abstract
Advances in digital technology are driving a new modernization of economic systems, but the impact is clearly heterogeneous. This study pioneers an economic modernization index evaluation system from the four dimensions of economic innovation, economic greening, economic openness and industrial modernization, and quantitatively analyzes heterogeneous impacts of digital technology progress on economic modernization by panel fixed effect model and threshold regression model, utilizing 11-year provincial panel data (2013–2023) across 30 China’s provinces. The general findings discover that the progress of digital technology has significantly propelled the construction of China’s economic modernization in general. However, in the sub-dimensions of economic modernization, the promoting effect of digital technology progress on economic innovation is stronger than its impact on economic modernization and greening, while the impact on economic openness is not significant and there is an obvious differentiation phenomenon. At the regional level, the promoting effect of digital technology progress on economic modernization is larger in China’s western region relative to eastern China, and stronger in regions with lower level of economic modernization in comparison to regions with higher level, showing a latecomer advantage. Moreover, the enhancing effect of digital technology progress on economic modernization also has the nonlinear feature of “diminishing marginal effect”. Such findings can offer government policy-designer insights in coordinating the use of digital technology dividend, narrowing the regional development gap, identifying the weak points of digital technology dividend, and accelerating the national economic modernization.
First published online 4 March 2026
Keywords:
digital technology, economic modernization, heterogeneityHow to Cite
Share
License
Copyright (c) 2026 The Author(s). Published by Vilnius Gediminas Technical University.

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Amin, N., Song, H., & Farrukh, M. U. (2022). Does sectoral modernization promote CO2 emissions? Dynamic panel analysis of selected Asian countries. Environmental Science and Pollution Research, 29(55), 83612–83623. https://doi.org/10.1007/s11356-022-21618-8
Andal, E. G. T. (2022). Industrialisation, state-related institutions, and the speed of energy substitution: The case in Europe. Energy, 239, Article 122274. https://doi.org/10.1016/j.energy.2021.122274
Bai, D. B., Li, M., Wang, Y. Q., Mallek, S., & Shahzad, U. (2024). Impact mechanisms and spatial and temporal evolution of digital economy and green innovation: A perspective based on regional collaboration within urban agglomerations. Technological Forecasting and Social Change, 207, Article 123613. https://doi.org/10.1016/j.techfore.2024.123613
Bellucci, C., Rubínová, S., & Piermartini, R. (2025). Better together: How digital connectivity and regulation reduce trade costs. Review of International Economics, 33(3), 796–814. https://doi.org/10.1111/roie.12807
Belykh, A. A., & Mau, V. A. (2020). Economic reforms in Russia: Theoretical aspects and the practice of XIX-early XX century. Voprosy Ekonomiki (1), 18–46.
Chang, H., Ding, Q. Y., Zhao, W. Z., Hou, N., & Liu, W. W. (2023). The digital economy, industrial structure upgrading, and carbon emission intensity – empirical evidence from China’s provinces. Energy Strategy Reviews, 50, Article 101218. https://doi.org/10.1016/j.esr.2023.101218
Chen, J., Chen, Y. N., Liang, X. C., Yu, L., Sun, J. L., Luo, X. T., Zhang, M. S., & Wu, Z. Q. (2024). The mitigating effect of new digital technology on carbon emissions: Evidence from China. Environmental Science and Pollution Research, 31(6), 9433–9444. https://doi.org/10.1007/s11356-023-31792-y
Chen, R., Wang, Y. F., Wang, Q., Zhang, L. L., & Xiong, R. X. (2025). Unleashing the digital dividend: Exploring how the digital economy promotes the construction of new urbanization in China’s 284 prefecture-level cities? Economic Analysis and Policy, 85, 818–834. https://doi.org/10.1016/j.eap.2024.12.028
Chen, W., Du, X. Y., Lan, W., Wu, W. L., & Zhao, M. R. (2023a). How can digital economy development empower high-quality economic development? Technological and Economic Development of Economy, 29(4), 1168–1194. https://doi.org/10.3846/tede.2023.18784
Chen, W., Zou, W., Zhong, K., & Aliyeva, A. (2023b). Machine learning assessment under the development of green technology innovation: A perspective of energy transition. Renewable Energy, 214, 65–73. https://doi.org/10.1016/j.renene.2023.05.108
Chen, Y., Xu, S. R., Lyulyov, O., & Pimonenko, T. (2023). China’s digital economy development: Incentives and challenges. Technological and Economic Development of Economy, 29(2), 518–538. https://doi.org/10.3846/tede.2022.18018
Chen, Z., Zhang, X., & Chen, F. (2021). Do carbon emission trading schemes stimulate green innovation in enterprises? Evidence from China. Technological Forecasting and Social Change, 168, Article 120744. https://doi.org/10.1016/j.techfore.2021.120744
Cheng, K., Chen, H. W., Zhang, F., & Zhang, M. Y. (2023). China’s high-quality innovation development from an institutional perspective: Regional differences and convergence. Technological and Economic Development of Economy, 29(6), 1657–1686. https://doi.org/10.3846/tede.2023.20214
Cheng, X. M., Du, A. M., Yan, C. N., & Goodell, J. W. (2025). Internal business process governance and external regulation: How does AI technology empower financial performance? International Review of Financial Analysis, 99, Article 103927. https://doi.org/10.1016/j.irfa.2025.103927
Chotia, V., Khoualdi, K., Broccardo, L., & Yaqub, M. Z. (2025). The role of cyber security and digital transformation in gaining competitive advantage through Strategic Management Accounting. Technology in Society, 81, Article 102851. https://doi.org/10.1016/j.techsoc.2025.102851
Daud, S. N. M., Ahmad, A., & Trinugroho, I. (2024). Financial inclusion, digital technology, and economic growth: Further evidence. Research in International Business and Finance, 70, Article 102361. https://doi.org/10.1016/j.ribaf.2024.102361
Degirmenci, T., Aydin, M., Cakmak, B. Y., & Yigit, B. (2024). A path to cleaner energy: The nexus of technological regulations, green technological innovation, economic globalization, and human capital. Energy, 311, Article 133316. https://doi.org/10.1016/j.energy.2024.133316
Di, Y., Lu, Y., & Razzaq, A. (2025). International differences and dynamic evolution of trade in digitally deliverable services. Technology in Society, 81, Article 102781. https://doi.org/10.1016/j.techsoc.2024.102781
Dong, F., Hu, M. Y., Gao, Y. J., Liu, Y., Zhu, J., & Pan, Y. L. (2022). How does digital economy affect carbon emissions? Evidence from global 60 countries. Science of The Total Environment, 852, Article 158401. https://doi.org/10.1016/j.scitotenv.2022.158401
dos Santos, U. P., & Mendes, P. S. (2023). Regional spillovers of knowledge in Brazil: Evidence from science and technology municipal indicators. Innovation and Development, 13(2), 323–342. https://doi.org/10.1080/2157930X.2021.1978723
Duan, H. Y., & Sun, X. S. (2024). Research on technology spillover of digital economy affecting energy consumption intensity in Beijing-Tianjin-Hebei region. Sustainability, 16(11), Article 4562. https://doi.org/10.3390/su16114562
Eslami, M. H., Pellegrini, L., Lazzarotti, V., Puliga, G., Manzini, R., & Boer, H. (2023). The effect of knowledge collaboration on innovation performance: The moderating role of digital technologies. International Journal of Technology Management, 91(3–4), 162–189. https://doi.org/10.1504/IJTM.2023.128800
Fahmy, H. (2020). Is the sharing economy causing a regime switch in consunitnion? Journal of Applied Economics, 23(1), 281–298. https://doi.org/10.1080/15140326.2020.1750121
Fan, D., Ding, J. Y., Wu, S. H., & Su, Y. Y. (2025). Firewalls or frontlines: Geopolitical tensions and multinationals’ digital technology upgrading. Technological Forecasting and Social Change, 216, Article 124147. https://doi.org/10.1016/j.techfore.2025.124147
Galindo-Martín, M.-Á., Castaño-Martínez, M.-S., & Méndez-Picazo, M.-T. (2019). Digital transformation, digital dividends and entrepreneurship: A quantitative analysis. Journal of Business Research, 101, 522–527. https://doi.org/10.1016/j.jbusres.2018.12.014
Gan, C., Zheng, R., & Yu, D. (2011). An empirical study on the effects of industrial structure on economic growth and fluctuations in China. Economic Research Journal, 46(5), 4–16+31.
Gao, J., & Lu, F. (2025). Green public procurement, external pressures and enterprise green transition: Evidence from China. Journal of Asian Economics, 98, Article 101936. https://doi.org/10.1016/j.asieco.2025.101936
Ge, J., Qu, Y. J., & Guo, Y. C. (2025). The impact of digital technology on the innovation efficiency of manufacturing enterprises: Moderating role based on the Chinese context. Journal of Industrial Integration and Management, 10(1), 1–23. https://doi.org/10.1142/S2424862225500010
Gong, W., Ma, R. Y., & Zhang, H. X. (2024). Digital agricultural technology services and farmers’ willingness to choose digital production technology in Sichuan province, China. Frontiers in Sustainable Food Systems, 8, Article 1401316. https://doi.org/10.3389/fsufs.2024.1401316
Growiec, J. (2023). Industry 4.0? Framing the digital revolution and its long-run growth consequences. Gospodarka Narodowa – the Polish Journal of Economics, 316(4), 1–16. https://doi.org/10.33119/GN/175243
Guo, X. X., Sun, L. P., Han, S., & Lu, J. B. (2022). Dynamic assessment of China’s re-electrification level considering carbon peaking and carbon neutrality goals: A study based on functional data analysis. Frontiers in Energy Research, 10, Article 951140. https://doi.org/10.3389/fenrg.2022.951140
Hong, I., & Ngok, K. (2022). The industrialisation thesis, revisited: Understanding welfare expansion in China through social expenditure data (2000–2019). Social Policy & Administration, 56(6), 874–890. https://doi.org/10.1111/spol.12836
Hu, Y., Fisher-Vanden, K., & Su, B. Z. (2020). Technological spillover through industrial and regional linkages: Firm-level evidence from China. Economic Modelling, 89, 523–545. https://doi.org/10.1016/j.econmod.2019.11.018
Ismail, N. W. (2021). Digital trade facilitation and bilateral trade in selected Asian countries. Studies in Economics and Finance, 38(2), 257–271. https://doi.org/10.1108/SEF-10-2019-0406
Jafarli, H. (2023). Problems of modernization of the structure of the national economy taking into account global economic conditions. Baltic Journal of Economic Studies, 9(2), 1–7. https://doi.org/10.30525/2256-0742/2023-9-2-1-7
Ji, Z., Zhao, L., Song, X., & Gao, X. (2023). Digital economy impact on inclusive green growth: Intermediary and spatial spillover effects in China. Environmental Science and Pollution Research, 30(59), 123657–123678. https://doi.org/10.1007/s11356-023-30898-7
Jiang, Q., Li, J. Z., Si, H. Y., & Su, Y. Y. (2022). The impact of the digital economy on agricultural green development: Evidence from China. Agriculture-Basel, 12(8), Article 1107. https://doi.org/10.3390/agriculture12081107
Jiang, W. M., Fan, J., & Tian, K. L. (2021). Input-output production structure and non-linear production possibility frontier. Journal of Systems Science & Complexity, 34(2), 706–723. https://doi.org/10.1007/s11424-020-9079-y
Jones, E. (2023). Digital disruption: Artificial intelligence and international trade policy. Oxford Review of Economic Policy, 39(1), 70–84. https://doi.org/10.1093/oxrep/grac049
Kamoyo, M., Masamha, T., & Chikazhe, L. (2025). Remote e-learning model in the post COVID-19 era; building a resilient higher education strategy. Cogent Education, 12(1), Article 2498854. https://doi.org/10.1080/2331186X.2025.2498854
Kayanja, W., Kyambade, M., & Kiggundu, T. (2025). Exploring digital transformation in higher education setting: The shift to fully automated and paperless systems. Cogent Education, 12(1), Article 2489800. https://doi.org/10.1080/2331186X.2025.2489800
Klingenberg, C. O., Borges, M. A. V., & Antunes, J. A. d. V. (2022). Industry 4.0: What makes it a revolution? A historical framework to understand the phenomenon. Technology in Society, 70, Article 102009. https://doi.org/10.1016/j.techsoc.2022.102009
Kovács, G., & Bartók, L. (2024). Metamorphoses: The relationship between the banking system and economic modernization in II. in post-World War II France. Public Finance Quarterly-Hungary, 70(2), 31–64. https://doi.org/10.35551/PFQ_2024_2_2
Lei, C., Tao, D. U., Difan, W. U., & Chengrui, L. A. I. (2024). Can digital financial inclusion promote the nighttime economy? – New evidence from Chinese counties’ nighttime lighting data and threshold model. Technological and Economic Development of Economy, 30(6), 1553–1571. https://doi.org/10.3846/tede.2024.22245
Li, B., & Zhou, C. (2024). Robot adoption and urban total factor productivity: Evidence from China. Technological and Economic Development of Economy, 30(5), 1330–1351. https://doi.org/10.3846/tede.2024.21102
Li, J., Wang, Y. N., Zhang, S. H., & Sheng, X. C. (2025). Digital economy, fiscal decentralization, and carbon emission intensity: Evidence from China. Sustainable Futures, 9, Article 100522. https://doi.org/10.1016/j.sftr.2025.100522
Li, Y., Li, N., & Li, Z. B. (2023). Evolution of carbon emissions in China’s digital economy: An empirical analysis from an entire industry chain perspective. Journal of Cleaner Production, 414, Article 137419. https://doi.org/10.1016/j.jclepro.2023.137419
Li, Z., Shao, S., Shi, X., Sun, Y., & Zhang, X. (2019). Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: Evidence of a threshold effect from China. Journal of Cleaner Production, 206, 920–927. https://doi.org/10.1016/j.jclepro.2018.09.241
Li, Z.-G., Wu, Y., & Li, Y.-K. (2024). Technical founders, digital transformation and corporate technological innovation: empirical evidence from listed companies in China’s STAR market. International Entrepreneurship and Management Journal, 20(4), 3155–3180. https://doi.org/10.1007/s11365-023-00852-7
Liang, S., & Tan, Q. (2024). Can the digital economy accelerates China’s export technology upgrading? Based on the perspective of export technology complexity. Technological Forecasting and Social Change, 199, Article 123052. https://doi.org/10.1016/j.techfore.2023.123052
Liao, C.-S., & Li, X. (2024). The impact of R&D efficiency on economic growth in China: Non-linear threshold effects. Technological and Economic Development of Economy, 30(5), 1205–1228. https://doi.org/10.3846/tede.2024.20166
Liu, G., & Liu, B. (2023). How digital technology improves the high-quality development of enterprises and capital markets: A liquidity perspective. Finance Research Letters, 53, Article 103683. https://doi.org/10.1016/j.frl.2023.103683
Liu, H., & Li, X. (2025). How digital technology can improve new quality productive forces? – Perspective of total factor agricultural carbon productivity. Journal of Asian Economics, 98, Article 101921. https://doi.org/10.1016/j.asieco.2025.101921
Liu, J., Yu, Q., Chen, Y., & Liu, J. (2022). The impact of digital technology development on carbon emissions: A spatial effect analysis for China. Resources, Conservation and Recycling, 185, Article 106445. https://doi.org/10.1016/j.resconrec.2022.106445
Liu, J., Wang, Q. B., & Wei, C. Y. (2024a). Unleashing green innovation in enterprises: The transformative power of digital technology application, green human resource, and digital innovation networks. Systems, 12(1), Article 11. https://doi.org/10.3390/systems12010011
Liu, J., Feng, X., Liu, J., & Yamaka, W. (2024b). Digital economy and industrial structure transformation: Mechanisms for high-Quality development in China’s agriculture and rural areas. Agriculture-Basel, 14(10), Article 1769. https://doi.org/10.3390/agriculture14101769
Liu, Y., Jiang, R., Zhang, Y., Dai, J. J., & Cheng, J. (2024). Mitigating digital trade barriers: Strategies for enhancing national value chains performance. International Review of Economics & Finance, 95, Article 103485. https://doi.org/10.1016/j.iref.2024.103485
Lu, D., Hui, E. C. M., Shen, J., & Shi, J. (2024). Digital industry agglomeration and urban innovation: Evidence from China. Economic Analysis and Policy, 84, 1998–2025. https://doi.org/10.1016/j.eap.2024.10.047
Lu, H., Pan, Y., Fan, R., & Guan, W. (2025). Green credit policy and heavily polluting enterprises’ green transition. International Review of Financial Analysis, 103, Article 104162. https://doi.org/10.1016/j.irfa.2025.104162
Lu, T., & Zhu, Z. (2021). Will AI reduce labor income share – A test based on fixed effect model and panel quantile model. Journal of Shanxi University of Finance and Economics, 43(11), 29–41.
Lyu, Y., Wang, W., Wu, Y., & Zhang, J. (2023). How does digital economy affect green total factor productivity? Evidence from China. Science of The Total Environment, 857, Article 159428. https://doi.org/10.1016/j.scitotenv.2022.159428
Ma, R., & Lin, B. (2025). The impact of digital technology innovation on energy-saving and emission reduction based on the urban innovation environment. Journal of Environmental Management, 375, Article 124176. https://doi.org/10.1016/j.jenvman.2025.124176
Ma, R., Lin, Y., & Lin, B. (2023). Does digitalization support green transition in Chinese cities? Perspective from Metcalfe’s Law. Journal of Cleaner Production, 425, Article 138769. https://doi.org/10.1016/j.jclepro.2023.138769
Meng, X., & Wu, C. (2024). Empirical evidence on digitization enabling the transition to a green economy in China. Environmental Science and Pollution Research, 31, 51790–51805. https://doi.org/10.1007/s11356-024-34613-y
Miao, Z. Y. (2022). Industry 4.0: Technology spillover impact on digital manufacturing industry. Journal of Enterprise Information Management, 35(4–5), 1251–1266. https://doi.org/10.1108/JEIM-02-2021-0113
Michelotto, F., & Joia, L. A. (2024). Organizational digital transformation readiness: An exploratory investigation. Journal of Theoretical and Applied Electronic Commerce Research, 19(4), 3283–3304. https://doi.org/10.3390/jtaer19040159
Mignamissi, D., & Nguekeng, B. (2022). Trade openness-industrialization nexus revisited in Africa. Economic Change and Restructuring, 55(4), 2547–2575. https://doi.org/10.1007/s10644-022-09401-8
Mwananziche, J., Myovella, G., Karacuka, M., Haucap, J., & Moshi, G. (2023). Is digitalization a booster for economic growth in Africa? Short run and long run evidence from Tanzania. Telecommunications Policy, 47(10), Article 102679. https://doi.org/10.1016/j.telpol.2023.102679
Narula, S., Tamvada, J. P., Kumar, A., Puppala, H., & Gupta, N. (2024). Putting digital technologies at the forefront of industry 5.0 for the implementation of a circular economy in manufacturing industries. IEEE Transactions on Engineering Management, 71, 3363–3374. https://doi.org/10.1109/TEM.2023.3344373
Navickienė, O., Meidutė-Kavaliauskienė, I., Činčikaitė, R., Morkūnas, M., & Valackienė, A. (2023a). Modernisation of a country in the context of social environmental sustainability: Example of Lithuania. Sustainability, 15(4), Article 3689. https://doi.org/10.3390/su15043689
Navickienė, O., Meidutė-Kavaliauskienė, I., Činčikaitė, R., Morkūnas, M., & Valackienė, A. (2023b). The expression of the country’s modernisation in the context of economic environmental sustainability: The case of Lithuania. Sustainability, 15(13), Article 10649. https://doi.org/10.3390/su151310649
Nunn, N., & Qian, N. (2014). US food aid and civil conflict. American Economic Review, 104(6), 1630–1666. https://doi.org/10.1257/aer.104.6.1630
Oyetade, K., Zuva, T., & Harmse, A. (2025). Integrating Industry 4.0 technologies into IT education. Cogent Education, 12(1), Article 2479195. https://doi.org/10.1080/2331186X.2025.2479195
Pan, X. F., & Yuan, J. H. (2024). Global value chain, GVC, biased technological change and reginal total factor productivity differences. Technological Forecasting and Social Change, 206, Article 123538. https://doi.org/10.1016/j.techfore.2024.123538
Perilla Jiménez, J. R. (2024). Income per-capita across-countries: Stories of catching-up, stagnation, and laggardness. Journal of Applied Economics, 27(1), Article 2339701. https://doi.org/10.1080/15140326.2024.2339701
Philippart, M. H. (2022). Success factors to deliver organizational digital transformation: A framework for transformation leadership. Journal of Global Information Management, 30(8), 1–17. https://doi.org/10.4018/JGIM.304068
Pu, Z., Qian, Y., & Liu, R. (2025). Is digital technology innovation a panacea for carbon reduction? Technological and Economic Development of Economy, 31(2), 496–524. https://doi.org/10.3846/tede.2024.22208
Qiu, Y., Liu, W., & Wu, J. (2025). Digital economy and urban green innovation: from the perspective of environmental regulation. Journal of Environmental Planning and Management, 68(2), 267–289. https://doi.org/10.1080/09640568.2023.2244668
Ramirez, P. (2021). Technological revolutions, socio-technical transitions and the role of agency: Värmland’s transition to a regional bio-economy. Regional Studies, 55(10–11), 1642–1651. https://doi.org/10.1080/00343404.2021.1957810
Ross, P., & Maynard, K. (2021). Towards a 4th industrial revolution. Intelligent Buildings International, 13(3), 159–161. https://doi.org/10.1080/17508975.2021.1873625
Sadik-Zada, E. R. (2021). Natural resources, technological progress, and economic modernization. Review of Development Economics, 25(1), 381–404. https://doi.org/10.1111/rode.12716
Shang, Y. J., Lee, H., & Ma, J. H. (2025). A study on the spatial effects of the digital economy on regional economic growth in China. Sustainability, 17(5), Article 2259. https://doi.org/10.3390/su17052259
Shi, T., Qiao, Y. R., Zhou, Q., & Zhang, J. G. (2022). The regional differences and random convergence of urban resilience in China. Technological and Economic Development of Economy, 28(4), 979–1002. https://doi.org/10.3846/tede.2022.16721
Skripnuk, D. (2020). Analysis of the regional modernization processes in a global context with an example of the Russian northern regions. International Journal of System Assurance Engineering and Management, 11, 100–110. https://doi.org/10.1007/s13198-019-00895-6
Song, M. L., Peng, L. C., Shang, Y. P., & Zhao, X. (2022). Green technology progress and total factor productivity of resource-based enterprises: A perspective of technical compensation of environmental regulation. Technological Forecasting and Social Change, 174, Article 121276. https://doi.org/10.1016/j.techfore.2021.121276
Su, X., & Wang, Y. Y. (2025). Factor conditions and capability building of artificial intelligence empowered digital transformation in the banking sector: A case study of a Chinese bank. International Journal of Technology Management, 97(2–3). https://doi.org/10.1504/IJTM.2025.143587
Takpara, M. M., Djiogap, C. F., Kouty, M., & Sawadogo, B. (2024). Effect of trade facilitation on economic complexity in selected African countries. African Development Review-Revue Africaine De Developpement, 36(4), 568–580. https://doi.org/10.1111/1467-8268.12786
Tan, L., Yang, Z., Irfan, M., Ding, C. J., Hu, M. J., & 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, H., Yao, Q., Boadu, F., & Xie, Y. (2023). Distributed innovation, digital entrepreneurial opportunity, IT-enabled capabilities, and enterprises’ digital innovation performance: A moderated mediating model. European Journal of Innovation Management, 26(4), 1106–1128. https://doi.org/10.1108/EJIM-08-2021-0431
Tang, T., Jiang, X., Zhu, K., Ying, Z., & Liu, W. (2024). Effects of the promotion pressure of officials on green low-carbon transition: Evidence from 277 cities in China. Energy Economics, 129, Article 107159. https://doi.org/10.1016/j.eneco.2023.107159
Thakur, P., & Wilson, V. H. (2024). Circular innovation ecosystem: A multi-actor, multi-peripheral and multi-platform perspective. Environment Development and Sustainability, 26(6), 14327–14350. https://doi.org/10.1007/s10668-023-03196-y
Tsou, H. T., & Chen, J. S. (2023). How does digital technology usage benefit firm performance? Digital transformation strategy and organisational innovation as mediators. Technology Analysis & Strategic Management, 35(9), 1114–1127. https://doi.org/10.1080/09537325.2021.1991575
Vărzaru, A. A. (2022). Assessing artificial intelligence technology acceptance in managerial accounting. Electronics, 11(14), Article 2256. https://doi.org/10.3390/electronics11142256
Wang, H., & Sun, H. (2025). New energy pilot policy, financial subsidies and green technology progress. International Journal of Hydrogen Energy, 115, 400–409. https://doi.org/10.1016/j.ijhydene.2025.01.406
Wang, J., Dong, K., Dong, X., & Taghizadeh-Hesary, F. (2022a). Assessing the digital economy and its carbon-mitigation effects: The case of China. Energy Economics, 113, Article 106198. https://doi.org/10.1016/j.eneco.2022.106198
Wang, J., Ma, X. W., Zhang, J., & Zhao, X. (2022b). Impacts of digital technology on energy sustainability: China case study. Applied Energy, 323, Article 119329. https://doi.org/10.1016/j.apenergy.2022.119329
Wang, L., Luo, G.-L., Sari, A., & Shao, X.-F. (2020). What nurtures fourth industrial revolution? An investigation of economic and social determinants of technological innovation in advanced economies. Technological Forecasting and Social Change, 161, Article 120305. https://doi.org/10.1016/j.techfore.2020.120305
Wang, S., Shu, W., & Cui, L. (2024). Green finance policy and green economic transformation. International Review of Financial Analysis, 96, Article 103785. https://doi.org/10.1016/j.irfa.2024.103785
Wang, X., Wang, Z., & Li, G. (2025). Barriers to digital services trade: Evaluation of their restrictiveness with application of Brier Score. Oeconomia Copernicana, 16(1), 197–245. https://doi.org/10.24136/oc.3435
Wang, Y., Shi, M., Liu, J., Huang, H., & Yu, K. (2025). Environmental pollution management effects of technological convergence between digital and real economy industries: A perspective of tripartite co-governance by company, government, and public. Journal of Cleaner Production, 501, Article 145201. https://doi.org/10.1016/j.jclepro.2025.145201
Wang, Y., & Li, L. (2024). Digital economy, industrial structure upgrading, and residents’ consumption: Empirical evidence from prefecture-level cities in China. International Review of Economics & Finance, 92, 1045–1058. https://doi.org/10.1016/j.iref.2024.02.069
Wang, Z.-Z., Xu, S.-Q., & Guan, Y.-J. (2025). Impact of the innovation promotion strategy on digital technology diffusion in regional innovation ecosystems. Technology Analysis & Strategic Management, 37(13), 3946–3962. https://doi.org/10.1080/09537325.2024.2426743
Wu, B., Ma, W. X., & Zhao, Q. (2025). Digital economy and urban green transformation. International Review of Financial Analysis, 104, Article 104286. https://doi.org/10.1016/j.irfa.2025.104286
Xia, W., Ruan, Z., Ma, S., Zhao, J., & Yan, J. (2025). Can the digital economy enhance carbon emission efficiency? Evidence from 269 cities in China. International Review of Economics & Finance, 97, Article 103815. https://doi.org/10.1016/j.iref.2024.103815
Yang, C.-H. (2023). External technological sources, subsidies and firm productivity in China. Applied Economics, 55(47), 5572–5590. https://doi.org/10.1080/00036846.2022.2140113
Ye, L. (2025). Digital economy and high-quality agricultural development. International Review of Economics & Finance, 99, Article 104028. https://doi.org/10.1016/j.iref.2025.104028
Yu, H., Wang, J., Xu, J., & Ding, B. (2024). Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective. Environment, Development and Sustainability, 27, 7379–7406. https://doi.org/10.1007/s10668-023-04197-7
Yu, Y., Liu, D., & Dai, Y. (2024). Carbon emission effect of digital economy development: Impact of digital economy development on China’s carbon dioxide emissions. Clean Technologies and Environmental Policy, 26, 2707–2720. https://doi.org/10.1007/s10098-024-02751-z
Zhang, L., Mu, R., Zhan, Y., Yu, J., Liu, L., Yu, Y., & Zhang, J. (2022). Digital economy, energy efficiency, and carbon emissions: Evidence from provincial panel data in China. Science of The Total Environment, 852, Article 158403. https://doi.org/10.1016/j.scitotenv.2022.158403
Zhang, T., & Zhang, R. (2024). The spatial effect of low-carbon development of regional industries driven by the digital economy: Evidence from Chinese cities. Humanities & Social Sciences Communications, 11(1), Article 706. https://doi.org/10.1057/s41599-024-03215-x
Zhang, X., Wan, G., Zhang, J., & He, Z. (2019). Digital economy, financial inclusion, and inclusive growth. Economic Research Journal, 54(8), 71–86.
Zhang, X., Xu, Y. Y., & Ma, L. (2023). Information technology investment and digital transformation: The roles of digital transformation strategy and top management. Business Process Management Journal, 29(2), 528–549. https://doi.org/10.1108/BPMJ-06-2022-0254
Zhang, X., Yu, Q., Liu, J., He, Y., & Xu, A. (2024). The application of industrial robots and changes in capital-labour income disparity in China. Economic Analysis and Policy, 84, 42–56. https://doi.org/10.1016/j.eap.2024.08.020
Zhang, Y. (2023). The development of enterprise management innovation in the digital economy era based on the Schumpeter model. Applied Mathematics and Nonlinear Sciences, 8(2), 1695–1704. https://doi.org/10.2478/amns.2023.1.00156
Zhang, Y. (2021). The regional disparity of influencing factors of technological innovation in China: Evidence from high-tech industry. Technological and Economic Development of Economy, 27(4), 811–832. https://doi.org/10.3846/tede.2021.14828
Zhang, Y., Su, Y., & Wang, S. (2025). Digital economy and entrepreneurial vitality: Unveiling the impact and mechanisms through the lens of smart cities. Scientific Reports, 15(1), Article 14228. https://doi.org/10.1038/s41598-025-98014-y
Zhang, Z., Jin, J., Li, S., & Zhang, Y. (2023). Digital transformation of incumbent firms from the perspective of portfolios of innovation. Technology in Society, 72, Article 102149. https://doi.org/10.1016/j.techsoc.2022.102149
Zhao, Y., Zhao, X., & Yang, J. (2024). Coupling coordination and influencing factors between digital village development and agricultural and rural modernization: Evidence from China. Agriculture-Basel, 14(11), Article 1901. https://doi.org/10.3390/agriculture14111901
Zheng, C., Wang, Z.-a., Pan, S., Chen, X., & Jia, S. (2023). Does financial structure still matter for technological innovation when financial technology and financial regulation develop? Technological Forecasting and Social Change, 194, Article 122747. https://doi.org/10.1016/j.techfore.2023.122747
Zhou, Y., Yang, Q. J., & Lu, S. (2023). Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China. Technology in Society, 75, Article 102398. https://doi.org/10.1016/j.techsoc.2023.102398
Zhu, Y., Deng, J., Wang, M., Tan, Y., Yao, W., & Zhang, Y. (2022). Can agricultural productive services promote agricultural environmental efficiency in China? International Journal of Environmental Research and Public Health, 19(15), Article 9339. https://doi.org/10.3390/ijerph19159339
View article in other formats
Published
Issue
Section
Copyright
Copyright (c) 2026 The Author(s). Published by Vilnius Gediminas Technical University.
License

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