Multiple Effects of Urban Innovation Activities on Growth of Key Industries: Case Study in Hangzhou, China
Publication: Journal of Urban Planning and Development
Volume 148, Issue 1
Abstract
Promoting the development of innovation activities has become one important strategy for major countries and municipalities globally to promote economic growth. How can innovation-based economic activities promote the formation and development of industries? Potential answers to this question are quite significant for economic development both at the city and at the metropolitan levels. China’s Hangzhou was selected as a case study to investigate the driving effects of urban innovation activities on the growth of key industries. Based on the patent data and the output value of related industries from 2008 to 2017, this research first analyzed the spatial pattern of innovation activities and then examined the correlation and causality between innovation activities and industrial growth. The results show that in innovation-based development, the local innovation activities that can be effectively intervened are generally related to the growth of their key industries, but not all of them are causal. The innovation activities related to the high-end equipment manufacturing industry have a causal relationship with their industrial developments in Hangzhou. The development of such innovation activities to a large extent shows the trend of polycentric development and noncontinuous block agglomeration. This trend is also represented as a different development process and characteristics within different regions and directions in this city. Suggestions are provided to promote the development of relevant innovation activities, which could provide spatial strategies for the effective realization of innovation-driven development in Chinese cities and beyond.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research was funded by the National Nature Science Foundation Project (51508499), the project sponsored by SRF for ROCS, SEM (J20150130), and the Center for Balance Architecture, Zhejiang University.
References
Balland, P. A., J. A. Belso-Martinez, and A. Morrison. 2016. “The dynamics of technical and business knowledge networks in industrial clusters: Embeddedness, status, or proximity?” Econ. Geogr. 92 (1): 35–60. https://doi.org/10.1080/00130095.2015.1094370.
Bathelt, H., and J. Glückler. 2011. The relational economy: Geographies of knowing and learning. Oxford: Oxford University Press.
Bathelt, H., A. Malmberg, and P. Maskell. 2004. “Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation.” Prog. Hum. Geogr. 28 (1): 31–56. https://doi.org/10.1191/0309132504ph469oa.
Batty, M. 2013. The new science of cities. Cambridge, MA: MIT Press.
Bergman, E. M. 2009. “Embedding network analysis in spatial studies of innovation.” Ann. Reg. Sci. 43 (3): 559–565. https://doi.org/10.1007/s00168-008-0250-y.
Boschma, R. A., and R. Martin. 2010. The handbook of evolutionary economic geography. Cheltenham, UK: Edward Elgar.
Cai, Y., and Y. Fu. 2017. “The technical and structural effects of TFP growth: Measurement and decomposition based on China’s macro and sector data.” Econ. Res. 52 (1): 72–88.
Cheng, Y., J. Ren, Y. Chen, and C. Xu. 2016. “Spatial evolution and driving mechanism of China’s environmental regulation efficiency.” Geog. Res. 35 (1): 123–136.
Coe, N. M., P. Dicken, and M. Hess. 2008. “Global production networks: Realizing the potential.” J. Econ. Geogr. 8 (3): 271–295. https://doi.org/10.1093/jeg/lbn002.
Cooke, P. 2011. Handbook of regional innovation and growth. Cheltenham, UK: Edward Elgar.
Cui, J., and Y. Cheng. 2015. “Innovation performance evaluation from innovation value chain perspective.” Soft Sci. 29 (11): 1–5+10.
Du, Z., L. Lyu, and R. Huang. 2016. “Spatial pattern of industrial innovation efficiency for Chinese cities at prefecture level and above.” Sci. Geog. Sin. 36 (3): 321–327.
Fischer, M. M., and D. A. Griffith. 2008. “Modeling spatial autocorrelation in spatial interaction data: An application to patent citation data in the European Union.” J. Reg. Sci. 48 (5): 969–989. https://doi.org/10.1111/j.1467-9787.2008.00572.x.
Ganotakis, P., and J. H. Love. 2012. “The innovation value chain in new technology-based firms: Evidence from the U.K.” J. Prod. Innov. Manage. 29 (5): 839–860. https://doi.org/10.1111/j.1540-5885.2012.00938.x.
Guan, J., and N. Liu. 2016. “Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy.” Res. Policy 45 (1): 97–112. https://doi.org/10.1016/j.respol.2015.08.002.
Hanna, K. 2016. Spaces to think. Innovation districts and the changing geography of London’s knowledge economy. London: Centre for London.
Hansen, M. T., and J. Birkinshaw. 2007. “The innovation value chain.” Harvard Bus. Rev. 85 (6): 121.
Harbin Statistical Bureau. 2017. 2008–2017 Hangzhou Statistical Yearbook. Hangzhou, China: Hangzhou Statistical Bureau.
von Hippel, E. 2005. “Democratizing innovation: The evolving phenomenon of user innovation.” J. Betriebswirtsch. 55 (1): 63–78. https://doi.org/10.1007/s11301-004-0002-8.
Kilinc, N., G. B. Ozturk, and I. Yitmen. 2015. “The changing role of the client in driving innovation for design-build projects: Stakeholders’ perspective.” Procedia Econ. Finance 21: 279–287. https://doi.org/10.1016/S2212-5671(15)00178-1.
Lachang, L., L. Zhengji, and H. Ru. 2015. “The innovation linkage among Chinese major cities.” Sci. Geog. Sin. 35 (1): 30–37.
Li, L., Z. Fu, and W. Li. 2019. “Evaluation on technical innovation efficiency of China’s environmental protection industry based on innovation value chain.” Sci. Technol. Manage. Res. 39 (13): 74–80.
Liu, J., and J. Fan. 2019. “A research on product innovation mechanism of Chinese internet enterprises from the perspective of innovation value chain—A nested multi-case analysis based on Tencent 1998–2016.” Sci. Res. Manage. 40 (5): 35–46.
Martin, P., and G. Ottaviano. 2001. “Growth and agglomeration.” Int. Econ. Rev. 42 (4): 947–968. https://doi.org/10.1111/1468-2354.00141.
Qin, X., D. Du, S. Liu, and F. Fan. 2017. “Spatial–temporal pattern and influencing factors in transforming efficiency of scientific research achievements of universities on a provincial scale in China based on the network SBM method.” Geog. Res. 36 (9): 1641–1652.
Roper, S., and S. Arvanitis. 2012. “From knowledge to added value: A comparative, panel-data analysis of the innovation value chain in Irish and Swiss manufacturing firms.” Res. Policy 41 (6): 1093–1106. https://doi.org/10.1016/j.respol.2012.03.002.
Scott, A. J. 1988. New industrial spaces: Flexible production, organisation and regional development in North America and Western Europe. London: Pion.
Sorensen, E., and J. Torfing. 2018. “Co-initiation of collaborative innovation in urban spaces.” Urban Aff. Rev. 54 (2): 388–418. https://doi.org/10.1177/1078087416651936.
Tan, J., P. Zhang, and J. Li. 2016. “Spatio-temporal characteristics of regional innovation performance and Its influencing factors in China.” Sci. Geog. Sin. 36 (1): 39–46.
Wang, R., J. Li, M. Li, X. Shi, and M. Huang. 2018. China’s urban innovation competitiveness development report (2018). Beijing: Social Science Literature Press.
Wang, W., Z. Zhang, and J. Hou. 2019. “Innovative value chain and its structure: A theoretical framework.” Sci. Technol. Prog. Policy 36 (1): 36–43.
Xu, H., L. Zhao, and L. Zhu. 2019. “Spillover effect of innovation efficiency of China’s hightech industry in the perspective of innovation value chain.” J. Shanghai Univ. (Soc. Sci.) 36 (5): 67–77.
Yigitcanlar, T., I. R. Edvardsson, H. Johannesson, M. Kamruzzaman, G. Ioppolo, and S. Pancholi. 2017. “Knowledge-based development dynamics in less favoured regions: Insights from Australian and Icelandic university towns.” Eur. Plann. Stud. 25 (12): 2272–2292. https://doi.org/10.1080/09654313.2017.1358699.
Yu, Y., and D. Liu. 2013. “The effect of the space outflow of China’s regional innovation and the effect of the outflow of value chains: A study, from the perspective of the innovative value chain on the model of the panel of multidimensional space.” Manage. World 7: 6–20+70+187.
Zhao, L. 2018. “Study on the spillover effect of innovation efficiency in China’s manufacturing industry based on innovation value chain.” Sci. Technol. Prog. Policy 35 (18): 74–82.
Zheng, J., and Y. Ding. 2007. “Construction of index system to assess technical innovation efficiency in high-tech industry.” J. Harbin Inst. Technol. (Social Sci. Ed.) 6: 105–108.
Information & Authors
Information
Published In
Journal of Urban Planning and Development
Volume 148 • Issue 1 • March 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Jul 22, 2020
Accepted: Jul 26, 2021
Published online: Oct 22, 2021
Published in print: Mar 1, 2022
Discussion open until: Mar 22, 2022
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.
Cited by
- Yuquan Zhou, Xiong He, Yiting Zhu, Identification and Evaluation of the Polycentric Urban Structure: An Empirical Analysis Based on Multi-Source Big Data Fusion, Remote Sensing, 10.3390/rs14112705, 14, 11, (2705), (2022).
- Xiang Li, Ruihui Pu, Hong Liao, The impacts of innovation capability and social adaptability on undergraduates’ employability: The role of self-efficacy, Frontiers in Psychology, 10.3389/fpsyg.2022.954828, 13, (2022).