Open Access Journal Article

Unlocking the Potential of Chinese Urban Innovation: The Role of Support Policies for New R&D Institutions from an Innovation Chain Management Perspective

by mingyang Zhang a,*
Department of Economics and Management, Qiqihar University, Qiqihar, Heilongjiang Province, China
Author to whom correspondence should be addressed.
REA  2024, 21; 2(4), 21;
Received: 17 October 2023 / Accepted: 3 December 2023 / Published Online: 2 January 2024


The enactment of policies that bolster new research and development (R&D) institutions stands as a pivotal strategy to catalyze urban innovation and development. Adopting a strategic lens of innovation chain management and employing the Differences-in-Differences (DID) method to scrutinize panel data from 43 Chinese cities spanning 2008 to 2019, this study probes the efficacy and underlying mechanisms of policies designed to support nascent R&D institutions in facilitating urban innovation. Empirical findings reveal that policies in support of new R&D institutions have markedly enhanced the three integral stages of the urban innovation chain: research and development, transfer, and application. Furthermore, the innovation ambiance within cities and the innovative activities of enterprises emerge as significant mediators between support policies and the output of urban innovation across these stages. A regional heterogeneity analysis unveils that the impact of support policies on the output of urban innovation diverges across regions, with a notably more pronounced effect observed in the eastern region compared to central and western regions. An objective appraisal of the policy's impact on urban innovation not only aids in delving into the profound implementation effects of policy instruments but also furnishes policy-makers with decision-making references for optimizing the utilization of support policies for new R&D institutions to advance the edification of the national innovation system.

Copyright: © 2024 by Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Zhang, m. Unlocking the Potential of Chinese Urban Innovation: The Role of Support Policies for New R&D Institutions from an Innovation Chain Management Perspective. Review of Economic Assessment, 2023, 2, 21.
AMA Style
Zhang m. Unlocking the Potential of Chinese Urban Innovation: The Role of Support Policies for New R&D Institutions from an Innovation Chain Management Perspective. Review of Economic Assessment; 2023, 2(4):21.
Chicago/Turabian Style
Zhang, mingyang 2023. "Unlocking the Potential of Chinese Urban Innovation: The Role of Support Policies for New R&D Institutions from an Innovation Chain Management Perspective" Review of Economic Assessment 2, no.4:21.
APA style
Zhang, m. (2023). Unlocking the Potential of Chinese Urban Innovation: The Role of Support Policies for New R&D Institutions from an Innovation Chain Management Perspective. Review of Economic Assessment, 2(4), 21.

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  1. Ankrah, S. N., Burgess, T. F., Grimshaw, P., & Shaw, N. E. (2013). Asking both university and industry actors about their engagement in knowledge transfer: What single-group studies of motives omit. Technovation 33(2), 50-65.
  2. Belderbos, R., Gilsing, V., Lokshin, B., Carree, M., & Fernández Sastre, J. (2018). The antecedents of new R&D collaborations with different partner types: On the dynamics of past R&D collaboration and innovative performance. Long Range Planning 51(2), 285-302.
  3. Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological Forecasting and Social Change 80(8), 1513-1522.
  4. Caragliu, A, & Del Bo, CF. (2019). Smart innovative cities: The impact of Smart City policies on urban innovation. Technological Forecasting and Social Change 142, 373-383.
  5. Cennamo, C., & Santalo, J. (2019). Generativity Tension and Value Creation in Platform Ecosystems. Organization science (Providence, R.I.) 30(3), 617-641.
  6. Chen J, Yang Z, & Zhu ZQ. (2020). "Cracking the "neck" technology in the 14th Five-Year Plan period: identification framework, strategic shift and breakthrough path. Reform (12), 5-15
  7. Ding, J., Liu, B., & Shao, X. (2022). Spatial effects of industrial synergistic agglomeration and regional green development efficiency: Evidence from China. Energy Economics 112, 106156.
  8. Ding, J., Liu, B., Wang, J., Qiao, P., & Zhu, Z. (2023). Digitalization of the Business Environment and Innovation Efficiency of Chinese ICT Firms. Journal of Organizational and End User Computing 35(3), 1-25.
  9. Dvir, R., & Pasher, E. (2004). Innovation engines for knowledge cities: an innovation ecology perspective. Journal of Knowledge Management 8(5), 16-27.
  10. Ellwood, P., Williams, C., & Egan, J. (2022). Crossing the valley of death: Five underlying innovation processes. Technovation 109, 102162.
  11. Fan, F., Dai, S., Zhang, K., & Ke, H. (2021). Innovation agglomeration and urban hierarchy: evidence from Chinese cities. Applied Economics 53(54), 6300-6318.
  12. Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy 32(8), 1365-1379.
  13. Hansen, Morten T, & Julian Birkinshaw. (2007). The innovation value chain. Harvard Business Review 85(6), 121-130
  14. Henriques, L., & Larédo, P. (2013). Policy-making in science policy: The ‘OECD model’ unveiled. Research Policy 42(3), 801-816.
  15. Jie Yang, & Liu, C. (2006). New product development: An innovation diffusion perspective. The Journal of High Technology Management Research 17(1), 17-26.
  16. Jing, Z., & Cisheng, W. (2021). Cross-level impact of employees’ knowledge management competence and team innovation atmosphere on innovation performance. Annals of Operations Research.
  17. Lee, H., & Miozzo, M. (2019). Which types of knowledge-intensive business services firms collaborate with universities for innovation?. Research Policy 48(7), 1633-1646.
  18. Li, F., & Zhang, H. (2022). How the “Absorption Processes” of Urban Innovation Contribute to Sustainable Development-A Fussy Set Qualitative Comparative Analysis Based on Seventy-Two Cities in China. Sustainability (Basel, Switzerland) 14(23), 15569.
  19. Li, L., Li, M., Ma, S., Zheng, Y., & Pan, C. (2022). Does the construction of innovative cities promote urban green innovation?. Journal of Environmental Management 318, 115605.
  20. Liu, B., Zheng, K., Zhu, M., Wu, F., & Zhao, X. (2023). Towards sustainability: the impact of industrial synergistic agglomeration on the efficiency of regional green development. Environmental Science and Pollution Research 30(36), 85415-85427.
  21. Liu, B., Wang, J., Li, R. Y. M., Peng, L., & Mi, L. (2022). Achieving Carbon Neutrality – The Role of Heterogeneous Environmental Regulations on Urban Green Innovation. Frontiers in Ecology and Evolution 10
  22. Liu, B., Ding, C. J., Hu, J., Su, Y., & Qin, C. (2023). Carbon trading and regional carbon productivity. Journal of Cleaner Production 420, 138395.
  23. Lin Jiang, & Zhu Jianjun. (2021). A dynamic grey target evaluation method with multiple reference points for new R&D institution performance. Journal of Intelligent and Fuzzy Systems (1), 1-17
  24. Liu, Y, Zhu, T, & Chen, J. (2023). How does Financial Development Affect Regional Economic Growth in China? A Mediating Role of Industrial Structure Optimization. Review of Economic Assessment 2(2), 17-35.
  25. Paskaleva, K., & Cooper, I. (2018). Open innovation and the evaluation of internet-enabled public services in smart cities. Technovation 78, 4-14.
  26. Roper, S., Du, J., & Love, J. H. (2008). Modelling the innovation value chain. Research Policy 37(6), 961-977.
  27. Rothwell, R., & Robertson, A. B. (1973). The role of communications in technological innovation. Research Policy 2(3), 204-225.
  28. Sarpong, D., Boakye, D., Ofosu, G., & Botchie, D. (2023). The three pointers of research and development (R&D) for growth-boosting sustainable innovation system. Technovation 122, 102581.
  29. Sen, N. (2003). Innovation chain and CSIR. Current science (Bangalore) 85(5), 570-574
  30. Van Beers, Cees, & Fardad Zand. (2014). R&D cooperation, partner diversity, and innovation performance:an empirical analysis. Journal of Product Innovation Management 2(31), 292-312.
  31. 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.
  32. Wang, L, Zhao, Q, & Chen, W. (2023). Political Promotion and Manufacturing Firm Productivity: Evidence from Chinese Firms. Review of Economic Assessment 2(2), 1-16.
  33. Wing, C., Simon, K., & Bello-Gomez, R. A. (2018). Designing Difference in Difference Studies: Best Practices for Public Health Policy Research. Annual Review of Public Health 39(1), 453-469.
  34. Xi Jinping. (2022). Holding High the Great Banner of Socialism with Chinese Characteristics and Striving in Unity for the Comprehensive Construction of a Modernized Socialist Country-Report at the Twentieth National Congress of the Communist Party of China
  35. Xiao, W., Kong, H., Shi, L., Boamah, V., & Tang, D. (2022). The Impact of Innovation-Driven Strategy on High-Quality Economic Development: Evidence from China. Sustainability (Basel, Switzerland) 14(7), 4212.
  36. Zhang, J. X., Cheng, J. W., Philbin, S. P., Ballesteros-Perez, P., Skitmore, M., & Wang, G. (2023). Influencing factors of urban innovation and development: a grounded theory analysis. Environment Development and Sustainability 25(3), 2079-2104.
  37. Zhang, R., Ji, C., Tan, L., & Sun, Y. (2022). Evaluation and construction of the capacities of urban innovation chains based on efficiency improvement. PLoS One 17(10), e274092.
  38. Zhao, Q, Luo, Q, Wang, L, & Chen, W. (2023). Are Inventors Better CEOs? Evidence from China. Review of Economic Assessment 2(1), 1-24.
  39. Zhou, J., & Wang, M. (2023). The role of government-industry-academia partnership in business incubation: Evidence from new R&D institutions in China. Technology In Society 72, 102194.
  40. Zhu, T, Zhang, X, & Liu, X. (2022). Can University Scientific Research Activities Promote High-Quality Economic Development? Empirical evidence from provincial panel data. Review of Economic Assessment 1(1), 34-50.
  41. Zor, S, Chen, J, Ailimujiang, J, & Wang, F. (2023). Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency. Review of Economic Assessment 1(2), 25-39.