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Does the innovation community cultivation promote urban green development? Evidence from the urban agglomeration in the middle reaches of the Yangtze River

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Abstract

A key strategy for reducing regional pollution transfer and hastening the transition to carbon neutrality is to encourage the urban green development (UGD). However, UGD in urban agglomerations is hampered by policy inconsistencies and economic inequalities between cities. Urban Agglomeration innovation communities (UAIC), which are supposed to improve GDA by reducing policy and economic disparities between cities through collaborative innovation, are emerging as a new policy strategy for countries to speed up the integration of urban agglomerations and to promote regional cooperation and sharing of science and technology. However, empirical studies of UAIC effects on the environment are still lacking. Based on measured the UAIC index and the UGD level of the urban agglomeration in the middle reaches of the Yangtze River (TUAMRYR) from 2011 to 2019, this paper used spatial regression model to test the direct effect, spillover effect, and attenuation boundaries of UAIC on UGD, as well as to analyze the various impacts of the four sub-systems of UAIC on UGD, respectively, from the system perspective. The following are the key findings: First, the UAIC and UGD of TUAMRYR have been rising gradually and exhibit a spatial distribution pattern of "center-periphery". Second, for every unit increase in the UAIC index, local UGD can be improved by 0.432 units, and UGD in nearby areas can be encouraged by 0.312 units. Third, 325 km serve as the attenuation barrier for the spatial spillover effect of UAIC on UGD. Finally, UGD can be impacted by independent innovation subsystem, collaborative innovation subsystem, innovation ecological environment subsystem, and innovation performance subsystem, however the impacts they have on UGD vary.

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References

  • Barbour, E., & Markusen, A. (2007). Regional occupational and industrial structure: Does one imply the other? International Regional Science Review, 30, 72–90.

    Article  Google Scholar 

  • Bowman, M.J. (2008). The Power of Place: A National Strategy for Building America's Communities of Innovation.

  • Cao, J., Liu, B., & Li, J. (2016). Research on the development model and path of the Bei**g-Tian**-Hebei Collaborative Innovation Community—Based on the perspective of the imbalance of financial resources. Contemporary Economy, pp 40–41.

  • Cao, L., Wu, Y., & Li, L. (2023). The driving effect of energy efficiency change: From the perspective of collaborative innovation development pattern. Environmental Impact Assessment Review, 99.

  • Ding, X. (2017). Using the innovative experience of San Francisco Bay area for reference to build Guangdong-Hong Kong-Macau Greater Bay Area Innovation Community. Explore, 27–30+59.

  • Feng, Z., & Chen, W. (2018). Environmental regulation, green Innovation, and Industrial Green Development: An empirical analysis based on the spatial Durbin Model. Sustainability, 10.

  • Fernandes, C. I., Veiga, P. M., Ferreira, J. J. M., & Hughes, M. (2021). Green growth versus economic growth: Do sustainable technology transfer and innovations lead to an imperfect choice? Business Strategy and the Environment, 30, 2021–2037.

    Article  Google Scholar 

  • Fritsch, M. (2001). Co-operation in regional innovation systems. Regional Studies, 35, 297–307.

    Article  Google Scholar 

  • Gao, D., Li, G., Li, Y., & Gao, K. (2022). Does FDI improve green total factor energy efficiency under heterogeneous environmental regulation? Evidence from China. Environmental Science and Pollution Research, 29, 25665–25678.

    Article  Google Scholar 

  • He, L., Yuan, E., Yang, K., & Tao, D. (2022). Does technology innovation reduce haze pollution? An empirical study based on urban innovation index in China. Environmental Science and Pollution Research, 29, 24063–24076.

    Article  Google Scholar 

  • Herrmann-Pillath, C., Libman, A., & Yu, X. (2014). Economic integration in China: Politics and culture. Journal of Comparative Economics, 42, 470–492.

    Article  Google Scholar 

  • Hojnik, J., Ruzzier, M., & Manolova, T. S. (2020). Sustainable development: Predictors of green consumerism in Slovenia. Corporate Social Responsibility and Environmental Management, 27, 1695–1708.

    Article  Google Scholar 

  • Hu, A., & Zhou, S. (2014). Green development: Function definition, mechanism analysis and development strategy. Population Resources and Environment in China, 24, 14–20.

    Google Scholar 

  • Huang, Y., & Liao, R. (2021). Polycentric or monocentric, which kind of spatial structure is better for promoting the green economy? Evidence from Chinese urban agglomerations.

  • Huang, L., & Zhang, T., (2013). Innovative Ideas Study on Low-Carbon Urban Planning under Global Climate Change. In Fourth International Conference on Digital Manufacturing & Automation.

  • Huang, J., Lv, H., & Wang, L. (2014). The mechanism of the influence of financial development on regional green development– based on ecological efficiency and spatial measurement. Geographical Research, 33, 532–545.

    CAS  Google Scholar 

  • Ikram, M., Ferasso, M., Sroufe, R., & Zhang, Q.Y. (2021). Assessing green technology indicators for cleaner production and sustainable investments in a develo** country context. Journal of Cleaner Production, 322.

  • Jiang, L., Lu, Y., & Chen, Y. (2018) Urban adjacency effect and Export Comparative advantage. Financial Research, 56–73.

  • **, X., & Zhao, X. (2016). Spillover effects of Central cities and Urban Economic growth– an empirical study based on Urban Panel data of Chinese Urban agglomeration from 2000 to 2012. Journal of Zhejiang University (humanities and Social Sciences Edition), 46, 170–181.

    Google Scholar 

  • **g, W., & Zhang, L. (2014). Environmental regulation, opening to the outside World and Green Technology Progress of Chinese Industry. Economic Research, 49, 34–47.

    Google Scholar 

  • Kormondi, B., Tempfli, J., Kocsis, J. B., Adams, J., & Szkordilisz, F. E. (2019). The secret ingredient - the role of governance in green infrastructure development: Through the examples of European cities, Sustainable Built Environment D-A-CH Conference (SBE). Graz Univ Technol.

    Google Scholar 

  • Lesage, J. P., & Pace, R. K. (2008). Spatial econometric modeling of origin-destination flows*. Journal of Regional Science, 48, 941–967.

    Article  Google Scholar 

  • Li, L., & Chen, W. (2022). Does market integration promote the green development of urban agglomeration in the Yangtze River Economic Belt? Study and Practice, 65–74.

  • Li, Y., & Cui, M. (2022). Analysis on spatial correlation network of green innovation efficiency of China?s High-Tech Industry. Polish Journal of Environmental Studies, 31, 2683–2694.

    Article  Google Scholar 

  • Li, L., & Liao, B. (2022). The influence and Spatial effect of Financial agglomeration on the upgrading of Green Innovation chain. Journal of Central South University (social Science Edition), 28, 124–137.

    Google Scholar 

  • Li, W. W., Zhang, Y. Y., Yang, C. F., Gong, W. F., Wang, C. H., & Zhang, R. Y. (2022). Does producer services agglomeration improve urban green development performance of the Yangtze River Economic Belt in China? Ecological Indicators, 145.

  • Liao, B., & Li, L. (2022a). How can urban agglomeration market integration promote urban green development: Evidence from China’s Yangtze River Economic Belt. Environmental Science and Pollution Research, 29, 10649–10664. https://doi.org/10.1007/s11356-021-16490-x

    Article  Google Scholar 

  • Liao, B., & Li, L. (2022b). How can green building development promote carbon emission reduction efficiency of the construction industry?——Based on the dual perspective of industry and space. Environmental Science and Pollution Research, 29, 9852–9866. https://doi.org/10.1007/s11356-021-16380-2.

    Article  Google Scholar 

  • Liao, B., & Li, L. (2022c). Spatial division of labor, specialization of green technology innovation process and urban coordinated green development: Evidence from China. Sustainable Cities and Society, 80.

  • Lin, X., Zhang, H., & Zhang, M. (2018). The influence of Urban Economic Circle on Regional Economic growth—A study based on Center-periphery Theory. World Economic Literature Exchange, 66–83.

  • Liu, H., & Jiang, S. (2018). The enlightenment of the European study area to the Construction of Bei**g-Tian**-Hebei Collaborative Innovation Community. Hebei Academic Journal, 38, 157–162.

    Google Scholar 

  • Lu, M., & Chen, Z. (2009). Economic growth in segmented markets-why economic openness may intensify local protection? Economic Research, 44, 42–52.

    Google Scholar 

  • Miao, L., & Li, X. (2020). Self-organizing evolution of innovation community and its value co-creation mechanism—an analysis based on the case of "Star of Enlightenment" Incubator. Journal of Party School of **amen Special Economic Zone, 61–65.

  • Nordling, N., Raunio, M., Kautonen, M. Mustikkamäki, N., Karppi, I. & Nordling, N. (2014). Inclusive innovation communities linking Finnish Economy with Global Talent pool. Tekes Policy brief: Aineettomuus, No. 1/2014.

  • Ru, G., Mei, X., & Liu, H. (2018). Exploring the New Mode of Collaborative Development of Scientific and technological Innovation with Science and Technology Innovation Corridor—A theoretical Analysis of Collaborative Innovation based on G60 Science and Technology Innovation Corridor. Shanghai Economy, 72–85.

  • Sun, X., Cheng, S., Lang, J., Ren, Z., & Chao, S. (2018). Development of emissions inventory and identification of sources for priority control in the middle reaches of Yangtze River Urban Agglomerations. Science of the Total Environment, 625, 155–167.

    Article  CAS  Google Scholar 

  • Tang, J., & Qin, F. M. (2021). Analyzing the effect of local government competition on green total factor productivity from the market segmentation perspective in China-evidence from a three-stage DEA model. Frontiers in Environmental Science, 9, 18.

    Article  Google Scholar 

  • Teng, T., Sun, R., & Hu, L. (2019). The coupling coordination and spatial relationship between Scientific and technological Innovation and Green Development in the Yangtze River Economic Belt. Resources and Environment of the Yangtze River Basin, 28, 2574–2585.

    Google Scholar 

  • Tschiggerl, K., & Wolf, P. (2012). Innovative CP networks: The case of the OKOPROFIT (R) network promoting innovative clean production solutions for 20 years. Clean Technologies and Environmental Policy, 14, 1029–1035.

    Article  Google Scholar 

  • Vanhoutteghem, L., Tommerup, H.M., Svendsen, S., Mahapatra, K., Gustavsson, L., Haavik, T., Aabrekk, S., Paiho, S., & Alajuusela, M. (2012). Deliverable 1.2 Analysis of promising sustainable renovation concepts: Report prepared for Nordic Innovation Centre. Department of Engineering & Sustainable Development.

  • Vélez, A., Méndez-Pinzón, M., & Acevedo, O. (2020). Open innovation community for University-Industry knowledge transfer: A Colombian case. Journal of Open Innovation: Technology, Market, and Complexity, 6, 181.

    Article  Google Scholar 

  • Wang, P., & Chen, B. (2019). Research on the technical efficiency and influencing factors of military-civilian fusion enterprises. Management Review, 31, 70–82.

    CAS  Google Scholar 

  • Wang, M. W., Wang, Y., Shen, F. Q., & **, J. L. (2021). A heuristic projection pursuit method based on a connection cloud model and set pair analysis for evaluation of slope stability. Symmetry-Basel, 13, 17.

    CAS  Google Scholar 

  • Wang, W., **ao, W. W., & Bai, C. Q. (2022). Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level. Technology in Society, 68, 12.

    Article  Google Scholar 

  • Wang, Z., & Gong, Y. (2018). Innovation community: Concept, Framework and Model. Science Research 36, 140–148+175.

  • Williams, N. R., & Denning, B. P. (2009). The "New Protectionism" and the American common market technology in society. Notre Dame Law Review, 85, 247–312.

    Google Scholar 

  • Wu, Y., Li, H., Chen, N., & Bai, S. (2022). Research on the connotation, theoretical Framework and practical Model of Multi-helix Innovation Ecological Carrier in China– based on the empirical study of Shandong Innovation and Entrepreneurship Community. Science of Science and Management of Science and Technology, 43, 75–95.

    Google Scholar 

  • Xue, Q., Bai, C., & **ao, W. (2022). Fintech and corporate green technology innovation: Impacts and mechanisms[J]. Managerial and Decision Economics, 43(8), 3898–3914.

    Article  Google Scholar 

  • Yan, Z., Deng, X., & Chen, B. (2016). The impact of green technology progress on the low-carbon transformation of China's Industrial Structure. Comparative Economic & Social Systems, 25–39.

  • Yang, Z., Chen, H., Du, L., Lin, C., & Lu, W. (2021). How does alliance-based government-university-industry foster cleantech innovation in a green innovation ecosystem? Journal of Cleaner Production, 283.

  • Yi, M., Lu, Y., Wen, L., Luo, Y., Xu, S., & Zhang, T. (2022). Whether green technology innovation is conducive to haze emission reduction: Empirical evidence from China. Environmental Science and Pollution Research, 29, 12115–12127.

    Article  Google Scholar 

  • Yin, S. G., Bai, C. Q., & **ao, W. W. (2022). Spatial-temporal evolution of the allometric growth between economic scale and carbon emissions in China's cities and its driving mechanism. Environment Development And Sustainability, 26(1), 269–302.

    Article  Google Scholar 

  • Yuan, H., & Liu, Y. (2019). Financial agglomeration and Green Development—based on the two-dimensional perspective of level and efficiency. Scientific Research Management, 40, 126–143.

    Google Scholar 

  • Yuan, H., Zhang, T., Feng, Y., Liu, Y., & Ye, X. (2019). Does financial agglomeration promote the green development in China? A spatial spillover perspective. Journal of Cleaner Production, 237, 117808.

    Article  Google Scholar 

  • Zavadskas, E. K., Mardani, A., Turskis, Z., Jusoh, A., & Nor, K. M. D. (2016). Development of TOPSIS method to solve complicated decision-making problems: An overview on developments from 2000 to 2015. International Journal of Information Technology & Decision Making, 15, 645–682.

    Article  Google Scholar 

  • Zhang, R. (2020). Research on the operational mechanism innovation of the Regional Innovation Community in the Yangtze River Delta. Innovative Science and Technology, 20, 60–67.

    Google Scholar 

  • Zhang, X., & Wu, X. (2022). Measurement and Spatio-temporal difference of Green Development level between cities in National key Ecological functional areas and adjacent non-Ecological functional areas. Journal of Ecology, 42, 5761–5777.

    Google Scholar 

  • Zheng, W., Kuang, A., Wang, X., & Chen, J. (2020). Measuring network configuration of the Yangtze River middle reaches urban agglomeration: Based on modified radiation model. Chinese Geographical Science, 30, 677–694.

    Article  Google Scholar 

  • Zhou, X., Hao, H., Ye, X., Qin, Y., & Ma, X. (2016). Analysis on the spatio-temporal dynamics of regional economic disparities in the Yellow River Basin. Human Geography, 31, 119–125.

    Google Scholar 

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Liao, B., Li, L. & Li, C. Does the innovation community cultivation promote urban green development? Evidence from the urban agglomeration in the middle reaches of the Yangtze River. Environ Dev Sustain (2024). https://doi.org/10.1007/s10668-024-04809-w

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