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,*
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; https://doi.org/10.58567/rea02040001
Received: 17 October 2023 / Accepted: 3 December 2023 / Published: 2 January 2024

Abstract

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.

Share and Cite

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. https://doi.org/10.58567/rea02040001
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. https://doi.org/10.58567/rea02040001
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. https://doi.org/10.58567/rea02040001
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. https://doi.org/10.58567/rea02040001

Article Metrics

Article Access Statistics

References

  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. https://doi.org/10.1016/j.technovation.2012.11.001
  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. https://doi.org/10.1016/j.lrp.2017.10.002
  3. Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological Forecasting and Social Change 80(8), 1513-1522. https://doi.org/10.1016/j.techfore.2013.03.002
  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. https://doi.org/10.1016/j.techfore.2018.07.022
  5. Cennamo, C., & Santalo, J. (2019). Generativity Tension and Value Creation in Platform Ecosystems. Organization science (Providence, R.I.) 30(3), 617-641. https://doi.org/10.1287/orsc.2018.1270
  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. https://doi.org/10.1016/j.eneco.2022.106156
  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. https://doi.org/10.4018/JOEUC.327365
  9. Dvir, R., & Pasher, E. (2004). Innovation engines for knowledge cities: an innovation ecology perspective. Journal of Knowledge Management 8(5), 16-27. https://doi.org/10.1108/13673270410558756
  10. Ellwood, P., Williams, C., & Egan, J. (2022). Crossing the valley of death: Five underlying innovation processes. Technovation 109, 102162. https://doi.org/10.1016/j.technovation.2020.102162
  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. https://doi.org/10.1080/00036846.2021.1937507
  12. Hagedoorn, J., & Cloodt, M. (2003). Measuring innovative performance: is there an advantage in using multiple indicators? Research Policy 32(8), 1365-1379. https://doi.org/10.1016/S0048-7333(02)00137-3
  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. https://doi.org/10.1016/j.respol.2012.09.004
  15. Jie Yang, & Liu, C. (2006). New product development: An innovation diffusion perspective. The Journal of High Technology Management Research 17(1), 17-26. https://doi.org/10.1016/j.hitech.2006.05.002
  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. https://doi.org/10.1007/s10479-021-04328-1
  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. https://doi.org/10.1016/j.respol.2019.03.014
  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. https://doi.org/10.3390/su142315569
  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. https://doi.org/10.1016/j.jenvman.2022.115605
  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. https://doi.org/10.1007/s11356-023-28449-1
  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 http://doi.org/10.3389/fevo.2022.923354
  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. https://doi.org/10.1016/j.jclepro.2023.138395
  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. https://doi.org/10.58567/rea02020002
  25. Paskaleva, K., & Cooper, I. (2018). Open innovation and the evaluation of internet-enabled public services in smart cities. Technovation 78, 4-14. https://doi.org/10.1016/j.technovation.2018.07.003
  26. Roper, S., Du, J., & Love, J. H. (2008). Modelling the innovation value chain. Research Policy 37(6), 961-977. https://doi.org/10.1016/j.respol.2008.04.005
  27. Rothwell, R., & Robertson, A. B. (1973). The role of communications in technological innovation. Research Policy 2(3), 204-225. https://doi.org/10.1016/0048-7333(73)90003-6
  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. https://doi.org/10.1016/j.technovation.2022.102581
  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. https://doi.org/10.1111/JPIM.12096
  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. https://doi.org/10.1016/j.techfore.2017.04.011
  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. https://doi.org/10.58567/rea02020001
  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. https://doi.org/10.1146/annurev-publhealth-040617-013507
  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. http://doi.org/10.3390/su14074212
  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. http://doi.org/10.1007/s10668-022-02151-7
  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. http://doi.org/10.1371/journal.pone.0274092
  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. https://doi.org/10.58567/rea02010001
  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. https://doi.org/10.1016/j.techsoc.2022.102194
  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. https://doi.org/10.58567/rea01010003
  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. http://dx.doi.org/10.58567/rea02010002