Digital Finance and Sustainable Urban Transformation: Socio-Technical Pathways to Green Technological Innovation
DOI:
https://doi.org/10.63646/XHER7112Keywords:
Green technological innovation; digital finance; fintech; socio-technical transitions; fsqca; necessary condition analysisAbstract
Green technological innovation (GTI) has moved from the margins of environmental policy to the centre of city-level industrial strategy in emerging economies, yet how it actually materialises across heterogeneous urban contexts remains poorly specified. Departing from the single-variable focus that dominates the existing literature, this study mobilises a socio-technical lens that treats GTI as an outcome of co-evolving technological, financial, regulatory, human-capital, and structural subsystems. Empirically, we draw on data from 283 Chinese prefecture-level cities and combine Necessary Condition Analysis (NCA) with fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify both the prerequisites for, and the equifinal pathways to, urban GTI. The NCA results indicate that no single antecedent reaches the conventional necessity benchmark, although financial technology (FinTech) approaches that threshold and exhibits the most stable bottleneck profile across rising GTI ambitions. Economic development and urbanisation, by contrast, dominate the bottleneck space once cities pursue mid-to-high GTI outcomes. The fsQCA solution returns two consistent recipes for high GTI—a Technology-Structure dual-driven configuration and a fuller Technology-Finance-Talent-Structure synergy—both anchored in the simultaneous presence of FinTech and economic maturity as core conditions. The mirror analysis for non-high GTI yields twelve distinct configurations that we organise into four prototypical failure modes: foundational deficits, compounded multi-factor scarcity, FinTech misalignment with industrial structure, and FinTech misalignment with environmental mandates. The asymmetry between success and failure pathways underscores that low GTI cities are not simply the inverse of high-performers but inhabit qualitatively different causal worlds. The findings carry direct relevance for Southeast Asian and other emerging-market cities navigating the joint imperatives of decarbonisation, digital finance diffusion, and industrial upgrading.
How to Cite
References
Acemoglu, D., Akcigit, U., Hanley, D., & Kerr, W. (2016). Transition to clean technology. Journal of Political Economy, 124(1), 52–104. https://doi.org/10.1086/684511
Aghion, P., Akcigit, U., & Howitt, P. (2015). The Schumpeterian growth paradigm. Annual Review of Economics, 7, 557–575. https://doi.org/10.1146/annurev-economics-080614-115412
Aghion, P., Dechezleprêtre, A., Hémous, D., Martin, R., & Van Reenen, J. (2016). Carbon taxes, path dependency, and directed technical change: Evidence from the auto industry. Journal of Political Economy, 124(1), 1–51. https://doi.org/10.1086/684581
Albort-Morant, G., Leal-Millán, A., & Cepeda-Carrión, G. (2016). The antecedents of green innovation performance: A model of learning and capabilities. Journal of Business Research, 69(11), 4912–4917. https://doi.org/10.1016/j.jbusres.2016.04.052
Allen, F., Gu, X., & Jagtiani, J. (2021). A survey of fintech research and policy discussion. Review of Corporate Finance, 1(3–4), 259–339. https://doi.org/10.1561/114.00000007
Ambec, S., Cohen, M. A., Elgie, S., & Lanoie, P. (2013). The Porter Hypothesis at 20: Can environmental regulation enhance innovation and competitiveness? Review of Environmental Economics and Policy, 7(1), 2–22. https://doi.org/10.1093/reep/res016
Battiston, S., Mandel, A., Monasterolo, I., Schütze, F., & Visentin, G. (2017). A climate stress-test of the financial system. Nature Climate Change, 7(4), 283–288. https://doi.org/10.1038/nclimate3255
Bibri, S. E., & Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183–212. https://doi.org/10.1016/j.scs.2017.02.016
Brunnermeier, S. B., & Cohen, M. A. (2003). Determinants of environmental innovation in US manufacturing industries. Journal of Environmental Economics and Management, 45(2), 278–293. https://doi.org/10.1016/S0095-0696(02)00058-X
Buchak, G., Matvos, G., Piskorski, T., & Seru, A. (2018). Fintech, regulatory arbitrage, and the rise of shadow banks. Journal of Financial Economics, 130(3), 453–483. https://doi.org/10.1016/j.jfineco.2018.03.011
Campiglio, E., Dafermos, Y., Monnin, P., Ryan-Collins, J., Schotten, G., & Tanaka, M. (2018). Climate change challenges for central banks and financial regulators. Nature Climate Change, 8(6), 462–468. https://doi.org/10.1038/s41558-018-0175-0
Caragliu, A., & Del Bo, C. F. (2019). Smart innovative cities: The impact of smart city policies on urban innovation. Technological Forecasting and Social Change, 142, 373–383. https://doi.org/10.1016/j.techfore.2018.07.022
Combes, P.-P., & Gobillon, L. (2015). The empirics of agglomeration economies. In G. Duranton, J. V. Henderson, & W. C. Strange (Eds.), Handbook of Regional and Urban Economics (Vol. 5, pp. 247–348). Elsevier. https://doi.org/10.1016/B978-0-444-59517-1.00005-2
Costantini, V., Crespi, F., & Palma, A. (2017). Characterizing the policy mix and its impact on eco-innovation: A patent analysis of energy-efficient technologies. Research Policy, 46(4), 799–819. https://doi.org/10.1016/j.respol.2017.02.004
Dakhli, M., & De Clercq, D. (2004). Human capital, social capital, and innovation: A multi-country study. Entrepreneurship & Regional Development, 16(2), 107–128. https://doi.org/10.1080/08985620410001677835
Dechezleprêtre, A., Martin, R., & Mohnen, M. (2017). Knowledge spillovers from clean and dirty technologies. Grantham Research Institute on Climate Change and the Environment Working Paper No. 135.
Diebolt, C., & Hippe, R. (2019). The long-run impact of human capital on innovation and economic development in the regions of Europe. Applied Economics, 51(5), 542–563. https://doi.org/10.1080/00036846.2018.1495820
Dul, J. (2016). Necessary condition analysis (NCA): Logic and methodology of "necessary but not sufficient" causality. Organizational Research Methods, 19(1), 10–52. https://doi.org/10.1177/1094428115584005
Dul, J., van der Laan, E., & Kuik, R. (2020). A statistical significance test for necessary condition analysis. Organizational Research Methods, 23(2), 385–395. https://doi.org/10.1177/1094428118795272
Falcone, P. M. (2020). Environmental regulation and green investments: The role of green finance. International Journal of Green Economics, 14(2), 159–173. https://doi.org/10.1504/IJGE.2020.109735
Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420. https://doi.org/10.5465/amj.2011.60263120
Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics, 142(2), 499–516. https://doi.org/10.1016/j.jfineco.2021.01.010
Frantzeskaki, N., McPhearson, T., Collier, M. J., Kendal, D., Bulkeley, H., Dumitru, A., Walsh, C., Noble, K., van Wyk, E., Ordóñez, C., Oke, C., & Pintér, L. (2019). Nature-based solutions for urban climate change adaptation: Linking science, policy, and practice communities for evidence-based decision-making. BioScience, 69(6), 455–466. https://doi.org/10.1093/biosci/biz042
Frenken, K., van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685–697. https://doi.org/10.1080/00343400601120296
Frost, J., Gambacorta, L., Huang, Y., Shin, H. S., & Zbinden, P. (2019). BigTech and the changing structure of financial intermediation. Economic Policy, 34(100), 761–799. https://doi.org/10.1093/epolic/eiaa003
Fuster, A., Plosser, M., Schnabl, P., & Vickery, J. (2019). The role of technology in mortgage lending. The Review of Financial Studies, 32(5), 1854–1899. https://doi.org/10.1093/rfs/hhz018
Geels, F. W. (2019). Socio-technical transitions to sustainability: A review of criticisms and elaborations of the Multi-Level Perspective. Current Opinion in Environmental Sustainability, 39, 187–201. https://doi.org/10.1016/j.cosust.2019.06.009
Geng, Y., Sarkis, J., & Bleischwitz, R. (2019). How to globalize the circular economy. Nature, 565(7738), 153–155. https://doi.org/10.1038/d41586-019-00017-z
Glaeser, E. L., Rosenthal, S. S., & Strange, W. C. (2010). Urban economics and entrepreneurship. Journal of Urban Economics, 67(1), 1–14. https://doi.org/10.1016/j.jue.2009.10.005
Goldstein, I., Jiang, W., & Karolyi, G. A. (2019). To FinTech and beyond. The Review of Financial Studies, 32(5), 1647–1661. https://doi.org/10.1093/rfs/hhz025
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the FinTech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220–265. https://doi.org/10.1080/07421222.2018.1440766
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
Greckhamer, T., Furnari, S., Fiss, P. C., & Aguilera, R. V. (2018). Studying configurations with qualitative comparative analysis: Best practices in strategy and organization research. Strategic Organization, 16(4), 482–495. https://doi.org/10.1177/1476127018786487
He, L., Liu, R., Zhong, Z., Wang, D., & Xia, Y. (2019). Can green financial development promote renewable energy investment efficiency? A consideration of bank credit. Renewable Energy, 143, 974–984. https://doi.org/10.1016/j.renene.2019.05.059
Hojnik, J., & Ruzzier, M. (2016). What drives eco-innovation? A review of an emerging literature. Environmental Innovation and Societal Transitions, 19, 31–41. https://doi.org/10.1016/j.eist.2015.09.006
Horbach, J. (2016). Empirical determinants of eco-innovation in European countries using the Community Innovation Survey. Environmental Innovation and Societal Transitions, 19, 1–14. https://doi.org/10.1016/j.eist.2015.09.005
Jacobsson, S., & Bergek, A. (2011). Innovation system analyses and sustainability transitions: Contributions and suggestions for research. Environmental Innovation and Societal Transitions, 1(1), 41–57. https://doi.org/10.1016/j.eist.2011.04.006
Jagtiani, J., & Lemieux, C. (2018). Do fintech lenders penetrate areas that are underserved by traditional banks? Journal of Economics and Business, 100, 43–54. https://doi.org/10.1016/j.jeconbus.2018.03.001
Karwowski, M., Dul, J., Gralewski, J., Jauk, E., Jankowska, D. M., Gajda, A., Chruszczewski, M. H., & Benedek, M. (2016). Is creativity without intelligence possible? A necessary condition analysis. Intelligence, 57, 105–117. https://doi.org/10.1016/j.intell.2016.04.006
Kemp, R., & Pearson, P. (2007). Final report MEI project about measuring eco-innovation. UNU-MERIT.
Köhler, J., Geels, F. W., Kern, F., Markard, J., Onsongo, E., Wieczorek, A., Alkemade, F., Avelino, F., Bergek, A., Boons, F., Fünfschilling, L., Hess, D., Holtz, G., Hyysalo, S., Jenkins, K., Kivimaa, P., Martiskainen, M., McMeekin, A., Mühlemeier, M. S., Nykvist, B., Pel, B., Raven, R., Rohracher, H., Sandén, B., Schot, J., Sovacool, B., Turnheim, B., Welch, D., & Wells, P. (2019). An agenda for sustainability transitions research: State of the art and future directions. Environmental Innovation and Societal Transitions, 31, 1–32. https://doi.org/10.1016/j.eist.2019.01.004
Kou, G., & Lu, Y. (2025). FinTech: A literature review of emerging financial technologies and applications. Financial Innovation, 11(1), 1–34. https://doi.org/10.1186/s40854-024-00668-6
Lanoie, P., Laurent-Lucchetti, J., Johnstone, N., & Ambec, S. (2011). Environmental policy, innovation and performance: New insights on the Porter hypothesis. Journal of Economics & Management Strategy, 20(3), 803–842. https://doi.org/10.1111/j.1530-9134.2011.00301.x
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
Liu, J., Cheng, Z., & Zhang, H. (2017). Does industrial agglomeration promote the increase of energy efficiency in China? Journal of Cleaner Production, 164, 30–37. https://doi.org/10.1016/j.jclepro.2017.06.222
Lu, Y. (2017). Industry 4.0: A survey on technologies, applications and open research issues. Journal of Industrial Information Integration, 6, 1–10. https://doi.org/10.1016/j.jii.2017.04.005
Lu, Y. (2019). Artificial intelligence: A survey on evolution, models, applications and future trends. Journal of Management Analytics, 6(1), 1–29. https://doi.org/10.1080/23270012.2019.1570365
Lu, Y. (2022). Implementing blockchain in information systems: A review. Enterprise Information Systems, 16(12), Article 2008513. https://doi.org/10.1080/17517575.2021.2008513
Madsen, J. B., Ang, J. B., & Banerjee, R. (2010). Four centuries of British economic growth: The roles of technology and population. Journal of Economic Growth, 15(4), 263–290. https://doi.org/10.1007/s10887-010-9059-5
Markard, J., Raven, R., & Truffer, B. (2012). Sustainability transitions: An emerging field of research and its prospects. Research Policy, 41(6), 955–967. https://doi.org/10.1016/j.respol.2012.02.013
Marrocu, E., Paci, R., & Pontis, M. (2013). Intangible capital and firms' productivity. Industrial and Corporate Change, 22(2), 377–402. https://doi.org/10.1093/icc/dts038
Misangyi, V. F., Greckhamer, T., Furnari, S., Fiss, P. C., Crilly, D., & Aguilera, R. V. (2017). Embracing causal complexity: The emergence of a neo-configurational perspective. Journal of Management, 43(1), 255–282. https://doi.org/10.1177/0149206316679252
Mora, L., Bolici, R., & Deakin, M. (2017). The first two decades of smart-city research: A bibliometric analysis. Journal of Urban Technology, 24(1), 3–27. https://doi.org/10.1080/10630732.2017.1285123
Pan, X., Ai, B., Li, C., Pan, X., & Yan, Y. (2019). Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large-scale provincial panel data in China. Technological Forecasting and Social Change, 144, 428–435. https://doi.org/10.1016/j.techfore.2017.12.012
Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set qualitative comparative analysis (fsQCA): Guidelines for research practice in information systems and marketing. International Journal of Information Management, 58, Article 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310
Popp, D. (2019). Environmental policy and innovation: A decade of research. International Review of Environmental and Resource Economics, 13(3–4), 265–337. https://doi.org/10.1561/101.00000111
Porter, M. E., & van der Linde, C. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of Economic Perspectives, 9(4), 97–118. https://doi.org/10.1257/jep.9.4.97
Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press. https://doi.org/10.7208/chicago/9780226702797.001.0001
Rubashkina, Y., Galeotti, M., & Verdolini, E. (2015). Environmental regulation and competitiveness: Empirical evidence on the Porter Hypothesis from European manufacturing sectors. Energy Policy, 83, 288–300. https://doi.org/10.1016/j.enpol.2015.02.014
Sachs, J. D., Woo, W. T., Yoshino, N., & Taghizadeh-Hesary, F. (2019). Why is green finance important? ADBI Working Paper No. 917. https://doi.org/10.2139/ssrn.3327149
Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences: A guide to qualitative comparative analysis. Cambridge University Press. https://doi.org/10.1017/CBO9781139004244
Shen, N., Liao, H., Deng, R., & Wang, Q. (2019). Different types of environmental regulations and the heterogeneous influence on environmental total factor productivity: Empirical analysis of China's industry. Journal of Cleaner Production, 211, 171–184. https://doi.org/10.1016/j.jclepro.2018.11.170
Smith, A., Voß, J.-P., & Grin, J. (2010). Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges. Research Policy, 39(4), 435–448. https://doi.org/10.1016/j.respol.2010.01.023
Truffer, B., & Coenen, L. (2012). Environmental innovation and sustainability transitions in regional studies. Regional Studies, 46(1), 1–21. https://doi.org/10.1080/00343404.2012.646164
Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Vis, B., & Dul, J. (2018). Analyzing relationships of necessity not just in kind but also in degree: Complementing fsQCA with NCA. Sociological Methods & Research, 47(4), 872–899. https://doi.org/10.1177/0049124115626179
Walrave, B., Talmar, M., Podoynitsyna, K. S., Romme, A. G. L., & Verbong, G. P. J. (2018). A multi-level perspective on innovation ecosystems for path-breaking innovation. Technological Forecasting and Social Change, 136, 103–113. https://doi.org/10.1016/j.techfore.2017.04.011
Wolfram, M., & Frantzeskaki, N. (2016). Cities and systemic change for sustainability: Prevailing epistemologies and an emerging research agenda. Sustainability, 8(2), Article 144. https://doi.org/10.3390/su8020144
Xu, R., Zhu, J., Yang, L., Lu, Y., & Xu, L. D. (2024). Decentralized finance (DeFi): A paradigm shift in the FinTech. Enterprise Information Systems, 18(9), Article 2397630. https://doi.org/10.1080/17517575.2024.2397630
Yang, L., Hou, Q., Zhu, X., Lu, Y., & Xu, L. D. (2025). Potential of large language models in blockchain-based supply chain finance. Enterprise Information Systems, 19(11), Article 2541199. https://doi.org/10.1080/17517575.2025.2541199
Yu, C. H., Wu, X., Zhang, D., Chen, S., & Zhao, J. (2021). Demand for green finance: Resolving financing constraints on green innovation in China. Energy Policy, 153, Article 112255. https://doi.org/10.1016/j.enpol.2021.112255
Zhang, D., Zhang, Z., & Managi, S. (2019). A bibliometric analysis on green finance: Current status, development, and future directions. Finance Research Letters, 29, 425–430. https://doi.org/10.1016/j.frl.2019.02.003
Zhang, J., Kang, L., Li, H., Ballesteros-Pérez, P., Skitmore, M., & Zuo, J. (2020). The impact of environmental regulations on urban green innovation efficiency: The case of Xi'an. Sustainable Cities and Society, 57, Article 102123. https://doi.org/10.1016/j.scs.2020.102123
Zhao, X., & Sun, B. (2016). The influence of Chinese environmental regulation on corporation innovation and competitiveness. Journal of Cleaner Production, 112, 1528–1536. https://doi.org/10.1016/j.jclepro.2015.05.029
Zheng, S., Sun, W., Wu, J., & Kahn, M. E. (2017). The birth of edge cities in China: Measuring the effects of industrial parks policy. Journal of Urban Economics, 100, 80–103. https://doi.org/10.1016/j.jue.2017.05.002