The digital economy and city innovation convergence – an empirical research based on the innovation value chain theory

    Yijiu Ding Info
    Jianqiang Guo Info
    Yu Ji Info
    Kaiyi Guo Info
    Shenglin Ma Info
DOI: https://doi.org/10.3846/tede.2025.23567

Abstract

Within China’s strategy for innovation-driven development, digital economy (DE) plays a crucial role, significantly influences city innovation convergence. This study, grounded in the theoretical perspective of the innovation value chain theory (IVCT), divides innovation activities into two major phases: technological research phase and results transformation phase, and uses data from 283 Chinese cities spanning 2011 to 2021, it systematically explores, for the first time, the convergence characteristics of city innovation activities in each phase and delves deeply into the role of DE in this process. The findings reveal that city innovation in China’s cities demonstrates notable convergence characteristics during both technological research and achievements transformation phases. These convergence traits persist in both phases, even when accounting for spatial effects, particularly regarding the engagement of DE. Furthermore, in technological research phase, fiscal pressures faced by local governments diminish the effectiveness of DE in fostering city innovation convergence; but, during achievements transformation phase, such fiscal pressures do not impede DE’s capacity to enhance city innovation convergence. Lastly, the difference of city Innovation and entrepreneurial vitality during both technological research and achievements transformation phases restrict DE’s potential to support city innovation convergence, with a more pronounced diminishing effect observed in technological research phase. This study provides important decision-making support for policymakers and helps further uncover and unleash the potential of DE in promoting city innovation convergence.

First published online 05 June 2025

Keywords:

digital economy, city innovation convergence, innovation value chain theory, fiscal pressure, city innovation and entrepreneurial vitality

How to Cite

Ding, Y., Guo, J., Ji, Y., Guo, K., & Ma, S. (2025). The digital economy and city innovation convergence – an empirical research based on the innovation value chain theory. Technological and Economic Development of Economy, 1-36. https://doi.org/10.3846/tede.2025.23567

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References

Adner, R. (2006). Match your innovation strategy to your innovation ecosystem. Harvard Business Review, 84(4), 98–107.

Athey, G., Nathan, M., Webber, C., & Mahroum, S. (2008). Innovation and the city. Innovation, 10(2–3), 156–169. https://doi.org/10.5172/impp.453.10.2-3.156

Bai, J., & Chen, X. (2022). Digital economy, spatial spillover effect and regional innovation efficiency. Research and Development Management, 34(6), 67–68.

Bai, J., & Jiang, F. (2015). Collaborative innovation, spatial correlation and regional innovation performance. Economic Research Journal, 7, 174–187.

Bai, J., Zhang, Y., & Bian, Y. (2022). Whether innovation-driven policies enhance urban entrepreneurship activity: Empirical evidence from National Innovative City Pilot Policies. China Industrial Economics, 6, 61–78.

Barreneche García, A. (2014). Analyzing the determinants of entrepreneurship in European cities. Small Business Economics, 42, 77–98. https://doi.org/10.1007/s11187-012-9462-8

Barrios, C., Flores, E., & Martínez, M. Á. (2019). Club convergence in innovation activity across European regions. Papers in Regional Science, 98(4), 1545–1566. https://doi.org/10.1111/pirs.12429

Baumol, W. J. (1986). Productivity growth, convergence, and welfare: what the long-run data show. The American Economic Review, 76(5), 1072–1085.

Chen, C., Ye, F., Xiao, H., Xie, W., Liu, B., & Wang, L. (2023a). The digital economy, spatial spillovers and forestry green total factor productivity. Journal of Cleaner Production, 405, Article 136890. https://doi.org/10.1016/j.jclepro.2023.136890

Chen, R., Meng, Q., & Yu, J. J. (2023b). Optimal government incentives to improve the new technology adoption: Subsidizing infrastructure investment or usage? Omega, 114, Article 102740. https://doi.org/10.1016/j.omega.2022.102740

Cheng, Z., Liu, J., Li, L., & Gu, X. (2020). Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces. Energy Economics, 86, Article 104702. https://doi.org/10.1016/j.eneco.2020.104702

Chiesa, V., & Frattini, F. (2011). Commercializing technology innovation: Learning from failures in high‐tech markets. Journal of Product Innovation Management, 28(4), 437–454. https://doi.org/10.1111/j.1540-5885.2011.00818.x

China Academy of Information and Communications Technology. (2024). White paper on Global Digital Economy (2023). https://www.caict.ac.cn/kxyj/qwfb/bps/202401/t20240109_469903.htm

Colombelli, A., Paolucci, E., Raguseo, E., & Elia, G. (2024). The creation of digital innovative start-ups: The role of digital knowledge spillovers and digital skill endowment. Small Business Economics, 62(3), 917–937. https://doi.org/10.1007/s11187-023-00789-9

Cong, X., Liu, B., Wang, L., Su, P., Zhang, S., Liu, Y., & Skibniewski, M. J. (2024). Exploration of multiple enhancing pathways of digital economy development of city clusters using fuzzy-set qualitative comparative analysis. Technological and Economic Development of Economy, 30(6), 1769–1804. https://doi.org/10.3846/tede.2024.22436

Cook, S. (2012). -convergence and the cyclical dynamics of UK regional house prices. Urban Studies, 49(1), 203–218. https://doi.org/10.1177/0042098011399595

D’Amico, G., Arbolino, R., Shi, L., Yigitcanlar, T., & Ioppolo, G. (2021). Digital technologies for urban metabolism efficiency: Lessons from urban agenda partnership on circular economy. Sustainability, 13(11), Article 6043. https://doi.org/10.3390/su13116043

Dawson, J. F., & Richter, A. W. (2006). Probing three-way interactions in moderated multiple regression: Development and application of a slope difference test. Journal of Applied Psychology, 91(4), 917–926. https://doi.org/10.1037/0021-9010.91.4.917

Ding, C., Liu, C., Zheng, C., & Li, F. (2021a). Digital economy, technology innovation and high-quality economic development: Based on spatial effect and mediation effect. Sustainability, 14(1), Article 216. https://doi.org/10.3390/su14010216

Ding, K., Xu, H., & Yang, R. (2021b). Taxation and enterprise innovation: Evidence from China’s value-added tax reform. Sustainability, 13(10), Article 5700. https://doi.org/10.3390/su13105700

Doloreux, D. (2002). What we should know about regional systems of innovation. Technology in Society, 24(3), 243–263. https://doi.org/10.1016/S0160-791X(02)00007-6

Elia, G., Margherita, A., & Passiante, G. (2020). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technology Forecasting and Social Change, 150, Article 119791. https://doi.org/10.1016/j.techfore.2019.119791

Escalona-Orcao, A. I., Sánchez-Valverde García, B., Navarro-Pérez, M. C., Pinillos-García, M., & Conejos-Sevillano, A. (2021). Cultural dynamism and business vitality in medium-sized cities – Evidence and proposals for sustainable development. Sustainability, 13(13), Article 7325. https://doi.org/10.3390/su13137325

Fan, F., Lian, H., Liu, X., & Wang, X. (2021). Can environmental regulation promote urban green innovation efficiency? An empirical study based on Chinese cities. Journal of Cleaner Production, 287, Article 125060. https://doi.org/10.1016/j.jclepro.2020.125060

Feng, Y., Liu, Y., & Cheng, F. (2023). Regional differences and spatial convergence of urban green total factor energy efficiency in China. Geographical Research, (9), 2343–2368.

Gomes, L. A. D. V., Facin, A. L. F., Salerno, M. S., & Ikenami, R. K. (2018). Unpacking the innovation ecosystem construct: Evolution, gaps and trends. Technology Forecasting and Social Change, 136, 30–48. https://doi.org/10.1016/j.techfore.2016.11.009

Granstrand, O., & Holgersson, M. (2020). Innovation ecosystems: A conceptual review and a new definition. Technovation, 90–91, Article 102098. https://doi.org/10.1016/j.technovation.2019.102098

Grisorio, M. J., & Prota, F. (2015). The impact of fiscal decentralization on the composition of public expenditure: Panel data evidence from Italy. Regional Studies, 49(12), 1941–1956. https://doi.org/10.1080/00343404.2013.859665

Gu, Y., Hu, L., Zhang, H., & Hou, C. (2021). Innovation ecosystem research: Emerging trends and future research. Sustainability, 13(20), Article 11458. https://doi.org/10.3390/su132011458

Guo, F., Wang, J., Wang, F., Kong, T., Zhang, X., & Cheng, Z. (2020). Measuring the development of digital inclusive finance in China: Index compilation and spatial characteristics. Economics (Quarterly), 19(4), 1401–1418.

Hansen, M. T., & Birkinshaw, J. (2007). The innovation value chain. Harvard Business Review, 85(6), 121–130.

Herman, P. R., & Oliver, S. (2023). Trade, policy, and economic development in the digital economy. Journal of Development Economics, 164, Article 103135. https://doi.org/10.1016/j.jdeveco.2023.103135

Heyman, F., Sjöholm, F., & Tingvall, P. G. (2007). Is there really a foreign ownership wage premium? Evidence from matched employer–employee data. Journal of International Economics, 73(2), 355–376. https://doi.org/10.1016/j.jinteco.2007.04.003

Huang, Q., Yu, Y., & Zhang, S. (2019). Internet development and manufacturing productivity improvement: Internal mechanism and Chinese experience. China Industrial Economics, (8), 5–23.

Kim, Y., & Warner, M. E. (2021). Pragmatic municipalism or austerity urbanism? Understanding local government responses to fiscal stress. Local Government Studies, 47(2), 234–252. https://doi.org/10.1080/03003930.2020.1729751

Kumbhakar, S. C., & Lovell, C. K. (2003). Stochastic frontier analysis. Cambridge University Press.

Lall, S. V., & Yilmaz, S. (2001). Regional economic convergence: Do policy instruments make a difference? The Annals of Regional Science, 35, 153–166. https://doi.org/10.1007/s001680000035

Lee, S. Y., Florida, R., & Acs, Z. (2004). Creativity and entrepreneurship: A regional analysis of new firm formation. Regional Studies, 38(8), 879–891. https://doi.org/10.1080/0034340042000280910

Lerner, J. (2009). Boulevard of broken dreams: Why public efforts to boost entrepreneurship and venture capital have failed – And what to do about it. Princeton University Press. https://doi.org/10.1515/9781400831630

Li, G., Zhou, Y., Liu, F., & Tian, A. (2021). Regional difference and convergence analysis of marine science and technology innovation efficiency in China. Ocean & Coastal Management, 205, Article 105581. https://doi.org/10.1016/j.ocecoaman.2021.105581

Li, X. (2020). New infrastructure construction and policy orientation for a smart society. Reform, 5, 34–48.

Li, Z., & Yang, S. (2018). Fiscal decentralization, government innovation preference and regional innovation efficiency. Management World, 34(12), 29–42.

Lin, B., & Ma, R. (2022). How does digital finance influence green technology innovation in China? Evidence from the financing constraints perspective. Journal of Environmental Management, 320, Article 115833. https://doi.org/10.1016/j.jenvman.2022.115833

Liu, C., & Liu, X. (2024). City innovation and entrepreneurship vitality and core technologies of emerging industries: Spatial polarization, scale threshold and intermediary effect. China Soft Science, (3), 212–224.

Liu, X., Ji X., & Yang B. (2022). Research on the construction and application of evaluation system of city innovation ecosystems: Based on the analysis of pilot cities of “Full innovation and reform”. Science and Technology Management, 43(5), 63–84.

Liu, X., Sun, H., & Ma, X. (2015). Management of science and technology from innovation-ecosystem approach. Science of Science Management of S. & T., 1, 18–27. https://caod.oriprobe.com/articles/43699980/Management_of_Science_and_Technology_from_Innovation_Ecosystem_Approac.htm

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, H., & Qin, S. (2023). Fiscal rules and local government behavior. Modern Economic Science, 45(6), 44–57.

Moore, J. F. (1993). Predators and prey: A new ecology of competition. Harvard Business Review, 71(3), 75–86.

Mullen, C., & Marsden, G. (2015). Transport, economic competitiveness and competition: A city perspective. Journal of Transport Geography, 49, 1–8. https://doi.org/10.1016/j.jtrangeo.2015.09.009

National Bureau of Statistics of China. (n.d.). China city statistical yearbook (2012–2022). China Statistics Press. https://data.cnki.net

Niebel, T. (2018). ICT and economic growth – Comparing developing, emerging and developed countries. World Development, 104, 197–211. https://doi.org/10.1016/j.worlddev.2017.11.024

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

Pagani, M., & Pardo, C. (2017). The impact of digital technology on relationships in a business network. Industrial Marketing Management, 67, 185–192. https://doi.org/10.1016/j.indmarman.2017.08.009

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

Paunov, C., & Rollo, V. (2016). Has the internet fostered inclusive innovation in the developing world? World Development, 78, 587–609. https://doi.org/10.1016/j.worlddev.2015.10.029

Peck, J. (2012). Austerity urbanism: American cities under extreme economy. City, 16(6), 626–655. https://doi.org/10.1080/13604813.2012.734071

Peng, H., Lu, Y., & Gupta, S. (2023). Promoting value emergence through digital platform ecosystems: Perspectives on resource integration in China. Technology Forecasting and Social Change, 189, Article 122338. https://doi.org/10.1016/j.techfore.2023.122338

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), Article 100198. https://doi.org/10.1016/j.jik.2022.100198

Pouri, M. J., & Hilty, L. M. (2021). The digital sharing economy: A confluence of technical and social sharing. Environmental Innovation and Societal Transitions, 38, 127–139. https://doi.org/10.1016/j.eist.2020.12.003

Robaczewska, J., Vanhaverbeke, W., & Lorenz, A. (2019). Applying open innovation strategies in the context of a regional innovation ecosystem: The case of Janssen Pharmaceuticals. Global Transitions, 1, 120–131. https://doi.org/10.1016/j.glt.2019.05.001

Romano, C. A. (1990). Identifying factors which influence product innovation: A case study approach. Journal of Management Studies, 27(1), 75–95. https://doi.org/10.1111/j.1467-6486.1990.tb00754.x

Roper, S., Du, J., & Love, J. H. (2008). Modelling the innovation value chain. Research Policy, 37(6–7), 961–977. https://doi.org/10.1016/j.respol.2008.04.005

Schumpeter, J. A. (1912). The theory of economic development. (1934 ed.). Harvard University Press.

Schwartz, D., & Bar-El, R. (2015). The role of a local industry association as a catalyst for building an innovation ecosystem: An experiment in the State of Ceara in Brazil. Innovation, 17(3), 383–399. https://doi.org/10.1080/14479338.2015.1075855

Shankar, V., Carpenter, G. S., & Krishnamurthi, L. (1998). Late mover advantage: How innovative late entrants outsell pioneers. Journal of Marketing Research, 35(1), 54–70. https://doi.org/10.1177/002224379803500107

Shi, X., & Xi, T. (2018). Race to safety: Political competition, neighborhood effects, and coal mine deaths in China. Journal of Development Economics, 131, 79–95. https://doi.org/10.1016/j.jdeveco.2017.10.008

Solow, R. M. (1956). A contribution to the theory of economic growth. The Quarterly Journal of Economics, 70(1), 65–94. https://doi.org/10.2307/1884513

Song, L., & Zhang, A. (2021). The industrial structure adjustment effect of “Pressure-type” fiscal incentives in China. Finance & Trade Economics, 42(6), 21–36.

Spigel, B. (2017). The relational organization of entrepreneurial ecosystems. Entrepreneurship Theory and Practice, 41(1), 49–72. https://doi.org/10.1111/etap.12167

Sturgeon, T. J. (2021). Upgrading strategies for the digital economy. Global Strategy Journal, 11(1), 34–57. https://doi.org/10.1002/gsj.1364

Su, Z., Wei, J., & Liu, Y. (2023). Digital industrial platform development: A peripheral actor’s perspective. Technology Forecasting and Social Change, 194, Article 122683. https://doi.org/10.1016/j.techfore.2023.122683

Sun, X., Li, H., & Ghosal, V. (2020). Firm-level human capital and innovation: Evidence from China. China Economic Review, 59, Article 101388. https://doi.org/10.1016/j.chieco.2019.101388

Sun, Y., & You, X. (2023). Do digital inclusive finance, innovation, and entrepreneurship activities stimulate vitality of the urban economy? Empirical evidence from the Yangtze River Delta, China. Technology in Society, 72, Article 102200. https://doi.org/10.1016/j.techsoc.2023.102200

Sun, Z., & Hou, Y. (2019). Multi-perspective observations and policy responses to China’s regional unbalanced development. Management World, 35(8), 1–8.

Sweeney, G. P. (1991). Technical culture and the local dimension of entrepreneurial vitality. Entrepreneurship & Regional Development, 3(4), 363–378. https://doi.org/10.1080/08985629100000024

Tang, J., & Cui, W. (2023). Does urban agglomeration affect innovation convergence: Evidence from China. Economics of Innovation and New Technology, 32(4), 563–578. https://doi.org/10.1080/10438599.2021.1973896

Tapscott, D. (1996). Six themes for new learning from: The digital economy: Promise and peril in the age of networked intelligence. Educom Review, 31, 52–54.

Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640

Wang, H., Peng, G., & Du, H. (2024a). Digital economy development boosts urban resilience – Evidence from China. Scientific Reports, 14(1), Article 2925. https://doi.org/10.1038/s41598-024-52191-4

Wang, J., Zhang, J., Cifuentes-Faura, J., Ileana, S. C., & Zhao, X. (2024b). Exploring factors influencing the digital economy: Uncovering the relationship structure to improve sustainability in China. Technological and Economic Development of Economy, 30(2), 441–478. https://doi.org/10.3846/tede.2024.20600

Wen, H., Liang, W., & Lee, C.-C. (2023). Input–output efficiency of China’s digital economy: Statistical measures, regional differences, and dynamic evolution. Journal of the Knowledge Economy, 15(3), 1–26.

World Intellectual Property Organization. (2024). World Intellectual Property Report (2024): Making innovation policy work for development. https://www.wipo.int/publications/en/details.jsp?id=4724

Xiao, M., Dong, R., Yang, J., Song, X., & Kudiwa, S. T. (2024). Can market-based allocation of data elements expand enterprise innovation boundary? Evidence from a quasi-natural experiment in China. Applied Economics Letters, 1–5. https://doi.org/10.1080/13504851.2024.2358185

Xiao, Q., Gao, M., Chen, L., & Jiang, J. (2023). Dynamic multi-attribute evaluation of digital economy development in China: A perspective from interaction effect. Technological and Economic Development of Economy, 29(6), 1728–1752. https://doi.org/10.3846/tede.2023.20258

Xu, K., Mei, R., Liang, L., & Sun, W., (2023). Regional convergence analysis of sustainable innovation efficiency in European Union countries. Journal of Environmental Management, 325, Article 116636. https://doi.org/10.1016/j.jenvman.2022.116636.

Xue, M., Razzaq, A., Afshan, S., & Yang, X. (2023). Fiscal pressure and carbon intensity: A quasi-natural experiment based on education authority reform. Energy Economics, 126, Article 106919. https://doi.org/10.1016/j.eneco.2023.106919

Yang, X., Zhang, H., Lin, S., Zhang, J., & Zeng, J. (2021). Does high-speed railway promote regional innovation growth or innovation convergence? Technology in Society, 64, Article 101472. https://doi.org/10.1016/j.techsoc.2020.101472

Yi, J., Murphree, M., Meng, S., & Li, S. (2021). The more the merrier? Chinese government R&D subsidies, dependence, and firm innovation performance. Journal of Product Innovation Management, 38(2), 289–310. https://doi.org/10.1111/jpim.12564

Zhang, X., Yang, Z., & Tan, Y. (2023). Digital economy, division of labor in the family and gender equality. China Economic Journal (Quarterly), 43(1), 125–141.

Zhang, Y., & Song, Y. (2022). Tax rebates, technology innovation and sustainable development: Evidence from Chinese micro-level data. Technology Forecasting and Social Change, 176, Article 121481. https://doi.org/10.1016/j.techfore.2022.121481

Zhao, W., Zhu, C., & Zhu, Y. (2022). The comparative advantage of cities and innovation value chain: Evidence from China. Sustainability, 14(6), Article 3510. https://doi.org/10.3390/su14063510

Zhao, P., Lu, Z., Kou, J., & Du, J. (2023). Regional differences and convergence of green innovation efficiency in China. Journal of Environmental Management, 325, Article 116618. https://doi.org/10.1016/j.jenvman.2022.116618

Zheng, W., & Lu, Y. (2021). Fiscal pressures, government innovation preference and city innovation quality. Journal of Fiscal Studies, 8, 63–76.

Zhou, Q. (2024). Does the digital economy promote the consumption structure upgrading of urban residents? Evidence from Chinese cities. Structural Change and Economic Dynamics, 69, 543–551. https://doi.org/10.1016/j.strueco.2024.04.001

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2025-06-05

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Ding, Y., Guo, J., Ji, Y., Guo, K., & Ma, S. (2025). The digital economy and city innovation convergence – an empirical research based on the innovation value chain theory. Technological and Economic Development of Economy, 1-36. https://doi.org/10.3846/tede.2025.23567

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