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Spatial pattern of knowledge innovation function among Chinese cities and its influencing factors

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Abstract

Knowledge innovation is a key component of urban innovation function and an important basis for modern urban development. Combining the multidisciplinary research of knowledge innovation, this paper constructs a measurement framework of urban knowledge innovation function from the perspective of urban geography and analyzes its spatial pattern and influencing factors. The conclusions are as follows: (1) The function of urban knowledge innovation refers to the tasks and roles it undertakes in the process of knowledge creation, knowledge dissemination and knowledge application, which is based on the internal knowledge stock and external practice conditions to meet the needs of human survival and development in the new era. The measurement dimensions include functional scale, functional intensity, functional scale, and functional vitality. (2) The development level of knowledge innovation functions in Chinese cities is uneven, and the cities with outstanding knowledge innovation functions are mainly concentrated in the eastern coastal areas and a few developed areas in the central and western regions, forming the diamond-shaped knowledge innovation structure with the Beijing-Tianjin, the Yangtze River Delta, the Pearl River Delta, Shaanxi-Chengdu-Chongqing as the four vertices and central Wuhan and Hefei as the center. According to the Jenks natural breakpoint method, it is divided into national-level, regional-level, local-level and knowledge-innovative development cities. (3) The spatial differentiation characteristics of urban knowledge innovation function are simultaneously affected by various natural and human factors. Among them, economic environment, opening environment, and cultural environment have the strongest interactive explanatory power with other factors, and are the dominant factors affecting the city’s knowledge innovation function. In the future, China should fully considers the status and characteristics of the city’s own knowledge economy development with corresponding policies and measures suitable for the development of the city’s knowledge economy, and strengthen the dominant position of human and social factors in the constructing the city’s knowledge innovation function.

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References

  • Amidon D M, 1997. Innovation Strategy for the Knowledge Economy: The Ken Awakening. Boston: Butterworth-Heinemann.

    Google Scholar 

  • Asheim B T, Coenen L, 2005. Knowledge bases and regional innovation systems: Comparing nordic clusters. Research Policy, 34(8): 1173–1190.

    Article  Google Scholar 

  • Asheim B, Hansen H K, 2009. Knowledge bases, talents, and contexts: On the usefulness of the creative class approach in Sweden. Economic Geography, 85(4): 425–442.

    Article  Google Scholar 

  • Bathelt H, Malmberg A, Maskell P, 2004. Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1): 31–56.

    Article  Google Scholar 

  • Bjørn Asheim, Høgni Kalsø Hansen, 2009. Knowledge bases, talents, and contexts: on the usefulness of the creative class approach in Sweden. Economic Geography, 85(4): 425–442.

    Article  Google Scholar 

  • Carrillo F J, Yigitcanlar T, García B et al., 2014. Knowledge and the City: Concepts, Applications and Trends of Knowledge-based Urban Development. Routledge.

  • CBN New First-tier City Research Institute, 2019. New graded list of Chinese cities. https://baike.baidu.com/item/.

  • Charlie K, Börje J, Kiyoshi K et al., 2014. Knowledge, Innovation and Space. Cheltenham: Edward Elgar, 1–16. doi: https://doi.org/10.4337/9781783475988.00006.

    Google Scholar 

  • Christaller W, 1998. The Principle of the Southern German Heartland. Chang Zhengwen, trans. Beijing: The Commercial Press.

    Google Scholar 

  • Drucker P, 1999. Knowledge Management. Yang Kaifeng, trans. Beijing: Chinese University Press, 1999: 16–32.

    Google Scholar 

  • de Zubielqui G C, Noel L, Wendy L et al., 2019. Knowledge quality, innovation and firm performance: A study of knowledge transfer in SMEs. Small Bus Econ, 53: 145–164.

    Article  Google Scholar 

  • Fan F Z, 2009. An analytical concept frame on urban function: Yangtze Delta area as an example. Shanghai Journal of Economics, 26(9): 61–71. (in Chinese)

    Google Scholar 

  • Fang Y P, Peng T, Lu L X et al., 2019. Characteristics and influencing factors of urban function evolution in the Guangdong-Hong Kong-Macao Greater Bay Area. Tropical Geography, 39(5): 647–660. (in Chinese)

    Google Scholar 

  • Guo X X, 2015. Research on the evaluation index system of talent innovation environment: Based on the empirical study in Chaoyang district of Beijing [D]. Beijing: Capital University of Economics and Business. (in Chinese)

    Google Scholar 

  • Han B T, Lei X, Xu D Y, 2013. Measurement of regional knowledge absorptive capacity in China. Science & Technology and Economy, 26(2): 11–15. (in Chinese)

    Google Scholar 

  • He J S, Xiong D Y, Liu H W, 2005. Knowledge innovation based on knowledge fermentation. Science of Science and Management of S.&T., 26(2): 54–57, 129. (in Chinese)

    Google Scholar 

  • He S H, Du D B, Jiao M Q et al., 2017. Spatial-temporal characteristics of urban innovation capability and impact factors analysis in China. Scientia Geographica Sinica, 37(7): 1014–1022. (in Chinese)

    Google Scholar 

  • Hu H P, Lyu L C, Huang R et al., 2015. Urban innovation system and function in Guangdong province in the perspective of flow of urban innovation. Urban Development Studies, 22(6): 71–76. (in Chinese)

    Google Scholar 

  • Hu S H, Du D B, You X J et al., 2014. Spatial-temporal evolution analysis on knowledge innovation performance of universities in China’s “growth triangle regions”. Economic Geography, 34(10): 15–22. (in Chinese)

    Google Scholar 

  • Hu X H, Du D B, 2011. Function contents of S&T innovative city and its evaluation index system and criterion. Economic Geography, 31(10): 1625–1629, 1650. (in Chinese)

    Google Scholar 

  • Hu Y P, Meng Y W, Ding Z W et al., 2021. Study on the evolution and influencing factors of urban functional structure in Zhongyuan urban agglomeration. Journal of Henan University (Natural Science), 51(4): 423–436. (in Chinese)

    Google Scholar 

  • Inkinen T, Suorsa K, 2010. Intermediaries in regional innovation systems: High-technology enterprise survey from northern Finland. European Planning Studies, 18(2): 169–187.

    Article  Google Scholar 

  • Institute of Scientific and Technological Information of China, 2020. National Innovation City Innovation Capacity Evaluation Report 2020. Beijing: Scientific and Technical Documentation Press.

    Google Scholar 

  • Jiang C L, 2007. Study on knowledge ability of university and measurement indicators. Journal of Liaoning Technical University (Social Science Edition), 9(6): 612–614. (in Chinese)

    Google Scholar 

  • Lei Y F, Lu C Y, Su Y et al., 2022. Research on the coupling relationship between urban vitality and urban expansion based on multi-source night light data: A case study of urban agglomerations on the west bank of the Taiwan Straits. Human Geography, 37(2): 119–131. (in Chinese)

    Google Scholar 

  • Liu D X, He H, 2015. Analysis on influencing factors of functional specialization in PRD city group. Industrial Economic Review, 9(5): 56–64. (in Chinese)

    Google Scholar 

  • Liu J, Cai P X, Wang F F, 2020. Network structure evolution and influencing factors of collaborative knowledge innovation in Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration. Journal of Technology Economics, 39(5): 68–78. (in Chinese)

    Google Scholar 

  • Liu W T, He H, Lin Y P et al., 2020. Formation mechanism and influencing factors of the specialized division of labor in urban functions: An empirical test based on the urban agglomeration of the Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Commercial Economics, 37(15): 145–149. (in Chinese)

    Google Scholar 

  • Liu Y, Ma X Y, Liu J et al., 2020. Cultural competence: Part I of the 5Cs framework for twenty-first century key competences. Journal of East China Normal University (Educational Sciences), 38(2): 29–44. (in Chinese)

    Google Scholar 

  • Lyu K W, Li X F, Zhao L C, 2017. Evaluation and analysis on regional innovation capability in middle China. Regional Economic Review, (2): 99–106. (in Chinese)

  • Lyu L C, He A, Huang R, 2014. Beijing’s urban innovational function based on knowledge output. Geographical Research, 33(10): 1817–1824. (in Chinese)

    Google Scholar 

  • Lyu L C, Li Y, 2010. A research on Chinese renovation urban system based on urban renovation function. Acta Geographica Sinica, 65(2): 177–190. (in Chinese)

    Google Scholar 

  • Lyu L C, Li Y H, Liu Y H, 2009. Urban innovation function and innovational spatial urban system. Economic Geography, 29(5): 710–713, 751. (in Chinese)

    Google Scholar 

  • Lyu L C, Yu Y J, Luan H, 2022. The relationship between urban amenity, difference and innovation ability in Beijing. Scientia Geographica Sinica, 42(1): 115–125. (in Chinese)

    Google Scholar 

  • Malerba F, McKelvey M, 2019. Knowledge intensive innovative entrepreneurship. Foundations and Trends in Entrepreneurship, 14(6): 555–681.

    Article  Google Scholar 

  • Meng X C, Li J P, 2002. The research on knowledge innovation and regional economic disparities in China. Geography and Territorial Research, 18(4): 79–81, 96. (in Chinese)

    Google Scholar 

  • Muller E, Zenker A. 2001. Business services as actors of knowledge transformation: the role of KIBS in regional and national innovation systems. Research Policy, 30(9): 1501–1516.

    Article  Google Scholar 

  • OECD, 2001. Science, Technology and Industry Scoreboard: Towards a Knowledge-based Economy. Paris: OECD.

    Google Scholar 

  • Pancholi S, Yigitcanlar T, Guaralda M, 2014. Urban knowledge and innovation spaces: concepts, conditions and contexts. Asia Pacific Journal of Innovation and Entrepreneurship, 8(1): 15–38.

    Google Scholar 

  • Song C Y, 2013. Constructing the innovation environment of strategic emerging industry cluster in China based on the perspective of knowledge innovation theory a case study on Hunan province. Scientific Management Research, 31(5): 46–49. (in Chinese)

    Google Scholar 

  • Sun L, 2013. Comparative study on development force in underdeveloped areas of Guangdong [D]. Guangzhou: Guangzhou University. (in Chinese)

    Google Scholar 

  • Wang B, 2019. Research on the evolution of knowledge stock distribution in knowledge network: As the example of Henan Gongyi refractory knowledge network. Journal of Technical Economics & Management, (7): 37–42. (in Chinese)

  • Wang J F, Xu C D, 2017. Geodetector: Principle and prospective. Acta Geographica Sinica, 72(1): 116–134. (in Chinese)

    Google Scholar 

  • Wang J J, Xu X Q, 2004. The review and preview of urban function evolution. Human Geography, 19(3): 12–16. (in Chinese)

    Google Scholar 

  • Wang Y, 2001. Knowledge economy and regional geography innovation. World Regional Studies, 10(3): 8–14. (in Chinese)

    Google Scholar 

  • Wei H T, Liu Y, Tian Z H et al., 2022. Spatial distribution pattern and environmental impact of lung cancer in Henan. Acta Geographica Sinica, 77(1): 245–258. (in Chinese)

    Google Scholar 

  • Wu Z X, Wang J B, 2003. Knowledge Management: Strategy and Practice. Beijing: China Textile & Apparel Press. (in Chinese)

    Google Scholar 

  • Xie Y, 2015. Formation mechanism and dynamic evaluation of regional knowledge innovation ability [D]. Kunming: Yunnan University of Finance and Economics. (in Chinese)

    Google Scholar 

  • Yan S S, 2010. On the connotations and their relationship of knowledge creation and knowledge innovation. Studies in Science of Science, 28(8): 1148–1152. (in Chinese)

    Google Scholar 

  • Yan X F, 2000. Knovledge renovation ability. Journal of PLA Nanjing Institute of Politics, 22(4): 31–36. (in Chinese)

    Google Scholar 

  • Yan X P, Zhou S H, 2003. The influence of information technology on urban functions. City Planning Review, 27(8): 15–18. (in Chinese)

    Google Scholar 

  • Yang Y C, Zhao P J, 2000. The study on the functional classification of valley-cities in the western China. Economic Geography, 20(6): 61–64. (in Chinese)

    Google Scholar 

  • Ye J F, Li Z F, 2006. Study on determinants of knowledge innovation capacity in industrial clusters. Studies in Science of Science, 24(4): 624–628. (in Chinese)

    Google Scholar 

  • Yigitcanlar T, Bulu M, 2015. Dubaization of Istanbul: Insights from the knowledge-based urban development journey of an emerging local economy. Environment and Planning A, 47(1): 89–107.

    Article  Google Scholar 

  • Yigitcanlar T, Lönnqvist A, 2013. Benchmarking knowledge-based urban development performance: Results from the international comparison of Helsinki. Cities, 31: 357–369.

    Article  Google Scholar 

  • Zeng C S, Ke W Q, Wu S D et al., 2020. The evolution mechanism of urban function in Beijing-Tianjin-Hebei urban agglomeration. Urban Development Studies, 27(9): 72–81. (in Chinese)

    Google Scholar 

  • Zeng C S, Lin M S, Zhan D S et al., 2021. A review of research on the characteristics and formation mechanism of urban functions. Progress in Geography, 40(11): 1956–1969. (in Chinese)

    Article  Google Scholar 

  • Zeng C S, Shen Y M, 2015. A study of the functional features of China’s urban service industries. Geographical Research, 34(9): 1685–1696. (in Chinese)

    Google Scholar 

  • Zhang F M, Guo W J, 1999. Some theoritical thingkings on urban function system. Economic Geography, 19(3): 19–24. (in Chinese)

    Google Scholar 

  • Zhang H, 2012. Comparison of S&T innovative function development of Beijing and Shanghai [D]. Shanghai: East China Normal University. (in Chinese)

    Google Scholar 

  • Zhang S J, Zhang X F, 2018. Impact of urban innovation environment on the performance of industry-university-research institute collaborative innovation. Forum on Science and Technology in China, (4): 25–32. (in Chinese)

  • Zhang X P, Gao S R, 2011. A study of the features and mechanism of knowledge innovation in university based on triple helix theory. Management & Engineering, (3): 61–66. (in Chinese)

  • Zhang X T, Yi Y F, Wang C, 2021. The impact of foreign direct investment on the specialization of urban functions: An evidence based on the Pearl River Delta urban agglomeration. Macroeconomics, (9): 86–98. (in Chinese)

  • Zhang Y Q, 1999. Knowledge economy and the new development of economic geography. Economic Geography, 19(6): 18–22. (in Chinese)

    Google Scholar 

  • Zhao J, 2013. Study on evolution and decision of technological innovation path in knowledge-intensive industries [D]. Harbin: Harbin Engineering University. (in Chinese)

    Google Scholar 

  • Zhao J J, Bentlage M, Thierstein A, 2017. Residence, workplace and commute: Interrelated spatial choices of knowledge workers in the metropolitan region of Munich. Journal of Transport Geography, 62: 197–212.

    Article  Google Scholar 

  • Zhou C, Zeng G, Cao X Z, 2017. Chinese inter-city innovation networks structure and city innovation capability. Geographical Research, 36(7): 1297–1308. (in Chinese)

    Google Scholar 

  • Zhou Y X, Bradshaw R, 1988. Classification of industrial functions in Chinese cities (including blind counties): Theories, methods and results. Acta Geographica Sinica, 43(4): 287–298. (in Chinese)

    Google Scholar 

  • Zhu M G, 2007. The measurement research of regional knowledge capability based on the method of entropy weight. Journal of Capital University of Economics and Business, 9(5): 58–60. (in Chinese)

    Google Scholar 

  • Zhu Y M, Yu N W, 2002. Urban flows in the Hu-Ning-Hang urban compact district. Urban Planning Forum, 46(1): 31–33, 44–79. (in Chinese)

    Google Scholar 

Download references

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Correspondence to Lachang Lyu.

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Foundation: National Natural Science Foundation of China, No.41971201

Author: Yu Yingjie (1996−), PhD Candidate, specialized in innovative geographical research.

Corresponding author: Lyu Lachang (1963−), PhD and Professor, specialized in innovative geographical research.

This paper is initially published in Acta Geographica Sinica (Chinese edition), 2023, 78(2): 315–333.

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Yu, Y., Lyu, L. Spatial pattern of knowledge innovation function among Chinese cities and its influencing factors. J. Geogr. Sci. 33, 1161–1184 (2023). https://doi.org/10.1007/s11442-023-2124-8

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