Knowledge Spillovers, Related and Supporting Industries, and Government Intervention: An Integrated Framework for Cluster-Driven Corporate Innovation DOI: https://doi.org/10.33093/ijomfa.2026.7.2.15
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Abstract
Late-developing inland clusters face a notable innovation paradox, in which substantial industrial capacity coexists with weak firm-level innovation. Existing research identifies knowledge spillovers, related and supporting industries, and government intervention as major external drivers of innovation, but pays limited attention to how these external conditions are transformed into corporate innovation capability. Drawing on Regional Innovation System Theory, Dynamic Capability Theory, and Porter’s Diamond Model, this study develops an integrated framework comprising seven propositions on direct effects, mediated pathways, and contextual variation. It proposes that cluster performance, defined as the effectiveness of cross-organisational coordination, mediates the relationship between external cluster conditions and corporate innovation capability. This mediating effect is expected to be stronger in late-developing inland clusters than in mature coastal clusters, where firms are more likely to access external resources directly. Situated within the automotive manufacturing context of the Chengdu-Chongqing Twin-City Economic Circle, this study explains why similar structural advantages may produce different innovation outcomes across regions.
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Al-Kfairy, M., Majdalawieh, M., & Alrabaee, S. (2022). Conceptualising the role of the UAE innovation strategy in university-industry knowledge diffusion process. European Conference on Knowledge Management, 23(2), 1439–1442. https://doi.org/10.34190/eckm.23.2.435
Alqararah, K., & Alnafrah, I. (2024). Innovation-driven clustering for better national innovation benchmarking. Journal of Entrepreneurship and Public Policy, 13(2), 234–254. https://doi.org/10.1108/jepp-01-2023-0007
Andres, B., Díaz-Madroñero, M., Soares, A. L., & Poler, R. (2024). Enabling technologies to support supply chain logistics 5.0. IEEE Access, 12, 43889–43906. https://doi.org/10.1109/access.2024.3374194
Artemenko, A. (2024). Analysis of the current state of cluster development in the regions of Ukraine and the world. Green, Blue and Digital Economy Journal, 5(3), 1–5. https://doi.org/10.30525/2661-5169/2024-3-1
Audretsch, D. B., Belitski, M., Spadavecchia, A., & Zahra, S. A. (2024). The more, the merrier or the less is more? The role of firm capabilities and industry in the knowledge spillover of innovation. Technovation, 138, 103115. https://doi.org/10.1016/j.technovation.2024.103115
Audretsch, D. B., & Belitski, M. (2026). Knowledge spillover of innovation: Entrepreneurial difference. Research Policy, 55(1), Article 105362. https://doi.org/10.1016/j.respol.2025.105362
Baldwin, C. Y., Bogers, M. L. A. M., Kapoor, R., & West, J. (2024). Focusing the ecosystem lens on innovation studies. Research Policy, 53(3), 104949. https://doi.org/10.1016/j.respol.2023.104949
Böttcher, T. P., Röckinghausen, S., Kernstock, P., & Krcmar, H. (2026). From regulation to orchestration: Collective action in the emergence of digital circular ecosystems. Electronic Markets, 36(1), Article 30. https://doi.org/10.1007/s12525-026-00888-x
Bruyaka, O., Prange, C., & Li, H. A. (2024). Dynamic capabilities measurement safari: A roadmap. International Journal of Management Reviews, 26(4), 495–517. https://doi.org/10.1111/ijmr.12364
Butt, M. A., Katuse, P., & Namada, J. (2023). Role of government as moderator: Porter’s Diamond firm strategy, structure, and rivalry attributes and industry’s performance. International Journal of Research in Business and Social Science (2147-4478), 12(7), 85–93. https://doi.org/10.20525/ijrbs.v12i7.2925
Cavalcante, P. L. C. (2022). Heterogeneity is the rule, not the exception? A tentative typology of national innovation systems. Revista Tempo Do Mundo, (28), 85–110. https://doi.org/10.38116/rtm28art3
Chen, K., Xue, Z., Guo, R., & Ning, L. (2025). The holistic role of multi-level government in transformative innovation process: Theoretical framework and evidence from China. Technovation, 139, 103122. https://doi.org/10.1016/j.technovation.2024.103122
Coman, C., Alexoaei, A., & Cojanu, V. (2024). The role of clusters in managing technological challenges and achieving resilient agri-food systems at the global level. Proceedings of the International Conference on Business Excellence, 18, 1495–1505. https://doi.org/10.2478/picbe-2024-0123
Cooke, P., Uranga, M. G., & Etxebarria, G. (1997). Regional innovation systems: Institutional and organisational dimensions. Research Policy, 26(4), 475–491. https://doi.org/10.1016/S0048-7333(97)00025-5
Cosnita, D. A., & Iorgulescu, F. S. (2022). Searching for crisis-proof business models: The case of Romanian industrial clusters. In S. L. Fotea, I. S. Fotea, & S. Vaduva (Eds.), Navigating through the crisis: A special issue on the COVID-19 crises (pp. 17–26). Springer. https://doi.org/10.1007/978-3-030-82755-7_2
D’Amico, E., Belitski, M., Braga, A., & Savoie, R. (2025). Enhancing knowledge spillover of innovation through artificial intelligence: An empirical investigation. The Journal of Technology Transfer. Advance online publication. https://doi.org/10.1007/s10961-025-10217-7
Deng, S., & Wu, Y. (2023). Spatiotemporal evolution and driving factors of urban green technology innovation efficiency in the Chengdu-Chongqing Economic Circle of China. Frontiers in Ecology and Evolution, 11, Article 1234374. https://doi.org/10.3389/fevo.2023.1234374
Derudder, B., & Liu, X. (2025). Cross-border regional innovation systems: concepts, approaches and perspectives. Regional Studies, 59(1), 2418704. https://doi.org/10.1080/00343404.2024.2418704
Di Cataldo, M., Ferranna, L., Gerolimetto, M., & Magrini, S. (2023). Splitting up or dancing together? Local institutional structure and the performance of urban areas. Economic Geography, 99(1), 81–110. https://doi.org/10.1080/00130095.2022.2130749
Fadeikina, N., & Bavykina, E. (2022). About the state cluster policy in the Russian Federation, implemented in order to increase the innovative potential of the national economy and ensure its sustainable economic growth. Siberian Financial School, 3, 193–204. https://doi.org/10.34020/1993-4386-2022-3-193-204
Friedrich, C., & Kagel, A. S. (2025). STI and DUI modes of innovation in poorly developed RIS. Systemic failures and challenges. European Planning Studies, 33(2), 245–263. https://doi.org/10.1080/09654313.2024.2430240
Fulgence, B. E., Hu, X., Larbi-Siaw, O., Tuo, S. J., & Gnahe, F. E. (2022). Impact of knowledge absorptive capacity on innovative performance in SMEs: Mediating effect of cluster environment. Kybernetes, 52(12), 6001–6024. https://doi.org/10.1108/K-03-2022-0373
García Vega, M., & Vicente-Chirivella, Ó. (2024). The role of public external knowledge for firm innovativeness. International Journal of Industrial Organization, 93, 103056. https://doi.org/10.1016/j.ijindorg.2024.103056
Gonzalez, R. (2022). Organizational structure as antecedent of dynamic capability. Gestão & Produção, 29, e1821. https://doi.org/10.1590/1806-9649-2022v29e1821
Grumadaite, K., Jucevicius, G., & Staniuliene, S. (2022). Smart development principles of knowledge ecosystem in an industrial cluster. European Conference on Knowledge Management, 23(1), 478–486. https://doi.org/10.34190/eckm.23.1.761
Guzman, J., Murray, F., Stern, S., & Williams, H. (2024). Accelerating innovation ecosystems: The promise and challenges of regional innovation engines. Entrepreneurship and Innovation Policy and the Economy, 3(1), 9–75. https://doi.org/10.1086/727744
Halkier, H. (2014). Innovation and destination governance in Denmark: Tourism, policy networks and spatial development. European Planning Studies, 22(8), 1659–1670. https://doi.org/10.1080/09654313.2013.784609
Hsu, D. H., Hsu, P.-H., Zhou, K., & Zhou, T. (2025). Industry–university collaboration and commercializing Chinese corporate innovation. Management Science, 71(6), 5351–5375. https://doi.org/10.1287/mnsc.2022.00788
Huang, X. (2023). Integration of industrial chain and innovation chain of equipment manufacturing industry cluster. Academic Journal of Business & Management, 5(5), 48–52. https://doi.org/10.25236/AJBM.2023.050507
Hu, Z., Cao, Z., Du, A., & Tu, Q. (2025). Where does it matter? Revisiting the role of proximity in knowledge spillovers. The American Journal of Economics and Sociology, 84(2), 297–322. https://doi.org/10.1111/ajes.12604
Jha, S., & Basu, S. (2025). Knowledge spillovers between R&D-driven incumbents and start-ups in open innovation: A systematic review and nomological network. Journal of Knowledge Management, 29(2), 588–638. https://doi.org/10.1108/JKM-05-2024-0563
Kasper, L., Sausen, J. O., Ferreira, G. C., & Salvati, A. O. (2025). Dynamic capabilities in regional studies: A systematic literature review. Revista Alcance, 32(2), 58–72. https://doi.org/10.14210/alcance.v32n2(Maio/Ago).p58-72
Kaur, V. (2022). Managerial attention and knowledge-based dynamic capabilities: A meta-theoretical approach to competitive advantage. Journal of General Management, 50, 220–239. https://doi.org/10.1177/03063070221126275
Kim, J., Paek, B., & Lee, H. (2022). Exploring innovation ecosystem of incumbents in the face of technological discontinuities: automobile firms. Sustainability, 14(3), 1606. https://doi.org/10.3390/su14031606
Lehmann, E., Schenkenhofer, J., & Vismara, S. (2025). Hidden champions and knowledge spillovers: innovation-enhancing agglomeration effects and niche technology specificity. Small Business Economics, 1–21. https://doi.org/10.1007/s11187-025-00999-3
Li, B. (2025). Improving the management of regional innovation systems in the context of the knowledge economy. Economics and Management, 30(12), 1545–1555. https://doi.org/10.35854/1998-1627-2024-12-1545-1555
Li, R., Luo, Y., Chen, B., Huang, H., & Liu, P. (2024). Efficiency of scientific and technological resource allocation in Chengdu-Chongqing-Mianyang urban agglomeration: Based on DEA–Malmquist index model. Environment, Development and Sustainability, 26(4), 10461–10483. https://doi.org/10.1007/s10668-023-03153-9
Lin, B. (2024). The spatial-temporal evolution of China’s automobile manufacturing cluster network and its influencing factors. Journal of the Knowledge Economy, 15(4), 16038–16059. https://doi.org/10.1007/s13132-024-01735-0
Lobova, E., Mingaleva, Z., & Sagidullin, A. (2024). Managing the selection of alternative models of industrial clusters, taking into account the density of the institutional environment. Regional Economy. South of Russia, 12(3), 62–75. https://doi.org/10.15688/re.volsu.2024.3.7
MacDonald, P., & Selmanovic, S. (2023). How localised are knowledge spillovers? Evidence from microgeographic data on UK patent citations. Economics of Innovation and New Technology, 33, 323–343. https://doi.org/10.1080/10438599.2023.2184809
Mendes, T., Braga, V., Silva, C., & Ratten, V. (2023). Taking a closer look at the regionally clustered firms: How can ambidexterity explain the link between management, entrepreneurship, and innovation in a post-industrialized world? The Journal of Technology Transfer, 48(6), 2007–2053. https://doi.org/10.1007/s10961-022-09991-5
Munday, M., Huggins, R., Cai, W., Kapitsinis, N., & Roberts, A. (2024). The transformative potential of inward investment on industrial cluster development: The case of the semiconductor industry in Wales. European Planning Studies, 32, 1594–1612. https://doi.org/10.1080/09654313.2024.2319704
Nedelev, D., & Kondev, G. (2024). Adequate assessment of competitive advantages through Porter’s Diamond. Application to Bulgarian non-ferrous metallurgy. Journal of Chemical Technology and Metallurgy, 59(6), 1317–1324. https://doi.org/10.59957/jctm.v59.i6.2024.5
Obschonka, M., Audretsch, D. B., & Moog, P. (2023). The regional entrepreneurship and innovation ecosystem: A review and research agenda. Research Policy, 52(6), Article 104849. https://doi.org/10.1016/j.respol.2023.104849
Piantoni, G., Dell Agostino, L., Arena, M., & Azzone, G. (2023). Assessing shared value in innovation ecosystems: a new perspective of scorecard. International Journal of Productivity and Performance Management, 73(11), 190–212. https://doi.org/10.1108/ijppm-02-2023-0067
Poon, T., Wu, C., & Liu, M. (2023). Developing entrepreneurial ecosystem: A case of unicorns in China and its innovation policy implications. Asian Journal of Technology Innovation, 32, 20–36. https://doi.org/10.1080/19761597.2022.2157849
Porter, M. E. (1990). The competitive advantage of nations. Free Press.
Pratiwi, A. A., Wessiani, N. A., Suwignjo, P., & Fadli, R. (2024). Industrial cluster design using value chain analysis and Porter’s Diamond Model: A case study in Batik Trusmi Cirebon Center. E3S Web of Conferences, 517, Article 05005. https://doi.org/10.1051/e3sconf/202451705005
Rachinger, M., & Müller, J. (2024). Investigating a manufacturing ecosystem in transition toward electric vehicles - A business model perspective. Journal of Manufacturing Technology Management, 35(9), 24–50. https://doi.org/10.1108/jmtm-07-2023-0279
Rasel, S., & Kalfadellis, P. (2021). Global and non-global city locations: The effect of clusters on the performance of foreign firms. Regional Studies, Regional Science, 8, 88–108. https://doi.org/10.1080/21681376.2021.1898461
Ren, F., & Tang, G. (2024). Agglomeration effects of high-tech industries: Is government intervention justified? Economic Analysis and Policy, 83, 685–700. https://doi.org/10.1016/j.eap.2024.07.015
Repushevskaya, O. (2024). Formation of cluster theory to smooth regional differentiation of socio-economic development. Russian Journal of Management, 12(3), 169–179. https://doi.org/10.29039/2409-6024-2024-12-3-169-179
Robledo Fernández, J. C., Martínez Moreno, O. C., & Rodríguez Arias, C. A. (2023). Dynamic capabilities: Theoretical reflection from the field of strategy. Publicaciones e Investigación, 17(2). https://doi.org/10.22490/25394088.7065
Rodríguez, I., Williams, A. M., & Hall, C. M. (2014). Tourism innovation policy: Implementation and outcomes. Annals of Tourism Research, 49, 76–93. https://doi.org/10.1016/j.annals.2014.08.004
Sánchez-García, E., Martínez-Falcó, J., Marco-Lajara, B., & Millán-Tudela, L. A. (2026). Drivers of innovation in specialized regions. Journal of the Knowledge Economy. Advance online publication. https://doi.org/10.1007/s13132-026-03253-7
Sheng, Y., Yang, X., Chih, Y. Y., & Zhang, J. (2024). Foreign direct investment spillovers and regional innovation in China: The spatial moderating role of absorptive capacity. Review of Development Economics, 28(4), 1803–1837. https://doi.org/10.1111/rode.13122
Silva, L. E. N., Gomes, L. A. D. V., Faria, A. M. D., & Borini, F. M. (2024). Innovation processes in ecosystem settings: An integrative framework and future directions. Technovation, 132, 102984. https://doi.org/10.1016/j.technovation.2024.102984
Smorchkova, L. (2023). Administrative-legal support for the development of innovation clusters in modern Russia. Gosudarstvo I Pravo, 3, 101–110. https://doi.org/10.31857/s102694520024776-4
Supriyanto, A., Said, L. R., Firdaus, M., Asma, R., & Redawati, R. (2024). A systematic literature review on dynamic capabilities in marketing. Access Journal - Access to Science, Business, Innovation in the Digital Economy, 5(3), 478–492. https://doi.org/10.46656/access.2024.5.3(6)
Tavares, M. S. D. A., Gohr, C. F., Morioka, S., & Da Cunha, T. R. (2021). Systematic literature review on innovation capabilities in clusters. Innovation & Management Review, 18(2), 192–220. https://doi.org/10.1108/INMR-12-2019-0153
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
Tzabbar, D., Lee, J., & Seo, D. (2022). Collaborative structure and post-mobility knowledge spillovers: A dyadic approach. Strategic Management Journal, 43(9), 1728–1762. https://doi.org/10.1002/smj.3384
Wang, C., Zhang, X., Tao, Y., & Zhang, K. (2026). Artificial intelligence, dynamic capabilities, and innovation resilience: The contingent roles of market competition intensity and technological turbulence. Journal of Innovation & Knowledge, 16, Article 101004. https://doi.org/10.1016/j.jik.2026.101004
Wang, X., Nan, T., Liu, F., & Xiao, Y. (2024). Analysis of the spatiotemporal evolution characteristics and policy factors of eco-innovation efficiency in Chinese urban agglomerations. Ecological Indicators, 163, Article 112106. https://doi.org/10.1016/j.ecolind.2024.112106
Wei, L., & Tong, L. (2024). The impact of university knowledge spillover on the innovation and development of technology enterprises. Journal of Business and Green Innovation, 2(2), 1–20. https://doi.org/10.63646/HYCD9025
Wei, N. (2023). The competitiveness analysis of Chinese automobile industry based on Improved Porter's Diamond Model. Highlights in Business, Economics and Management, 17, 239–246. https://doi.org/10.54097/hbem.v17i.11253
Wilke, U., & Pyka, A. (2024). Assessing the relevance of different proximity dimensions for knowledge exchange and (co-)creation in sustainability-oriented innovation networks. Sustainability Science, 19(4), 1427–1443. https://doi.org/10.1007/s11625-024-01463-z
Xu, Y., Li, X., Tao, C., & Zhou, X. (2022). Connected knowledge spillovers, technological cluster innovation and efficient industrial structure. Journal of Innovation & Knowledge, 7(3), Article 100195. https://doi.org/10.1016/j.jik.2022.100195
Xu, Y., & Zhu, S. (2024). Collaboration for radical and incremental innovation: The roles of intra-region and intra-group knowledge spillover. Journal of Geographical Sciences, 34(11), 2193–2211. https://doi.org/10.1007/s11442-024-2289-9
Yan, G., & Zou, L. (2024). Cluster heterogeneity and efficiency of innovation network-Evidence from Shanghai and Taizhou in China. Growth and Change, 55(3), e12729. https://doi.org/10.1111/grow.12729
Zeng, J., & Wu, X. (2023). Spatial-temporal pattern of scientific and technological talent agglomeration and its influencing factors in Chengdu–Chongqing City Cluster. In N. Akhtar et al. (Eds.), Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) (pp. 269–278). Atlantis Press. https://doi.org/10.2991/978-94-6463-200-2_29
Zhang, J., Zou, Q., & Wang, Y. (2022). Justice in triad: Revisiting supplier involvement in new product development. Business Ethics, the Environment & Responsibility, 32(1), 312–327. https://doi.org/10.1111/beer.12490
Zhang, Y., Wang, D., & Xiao, X. (2023). Network characteristics of innovation ecosystem: Knowledge collaboration and enterprise innovation. Science, Technology and Society, 28, 488–510. https://doi.org/10.1177/09717218231161216
Zou, T. (2024). Technological innovation promotes industrial upgrading: An analytical framework. Structural Change and Economic Dynamics, 70, 150–167. https://doi.org/10.1016/j.strueco.2024.01.012