Index Evaluation and Application of Green Innovation Ability in the Pearl River Delta Science and Technology Park

Authors

  • Hui Xu

    School of Digital Economy and Management, Software Engineering Institute of Guangzhou, Guangzhou 510990, China
  • Xin-yun Ye

    School of Business Administration, Research Institute of Innovation Competitiveness of Guangdong, Hong Kong and Macao Bay Area, Guangdong University of Finance and Economics, Guangzhou 510320, China
  • Wenyi Zhang

    School of Business Administration of Guangdong University of Finance and Economics, Guangzhou 510320, China

DOI:

https://doi.org/10.30564/jees.v7i3.7888
Received: 26 November 2024 | Revised: 19 December 2024 | Accepted: 24 December 2024 | Published Online: 10 March 2025

Abstract

This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample, uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indicators and 9 second-level indicators, and analyzes the essential connotation and key influencing factors of green innovation ability in science and technology park. The research found that among the first-level indicators, “industrial innovation”, “incubator innovation” and “policy innovation” ranked among the top three key factors. Among the second-level indicators, the three factors of “enterprise incubator innovation”, “government policies and fiscal and financial policies” and “the development of new industries and emerging industries” have a significant impact on the innovation capabilities of science and technology parks. Accordingly, some suggested measures are put forward to provide theoretical and practical guidance for improving their green innovation ability. The main innovation of this paper is to construct an evaluation model of science and technology park suitable for the green innovation ability of science and technology park according to the social and economic development of the Pearl River Delta city belt and to test its effectiveness. In view of the technology, complexity, ambiguity and pluralism of the evaluation index construction of green innovation ability in science and technology parks in practice, the index evaluation model and application strategy in this paper hope to provide a theoretical reference for the park operators to improve their benefits and promote the development of regional industrial clusters.

Keywords:

Science and Technology Park; Green Innovation Abilit; Index Evaluation; New Quality Productivity

References

[1] Guo X., Zhou W., 2024. The practical significance of the new quality productivity theory. Available from: https://www.ccps.gov.cn/dxsy/202406/t20240619_163098.shtml?use_xbridge3=true&loader_name=forest&need_sec_link=1&sec_link_scene=im (cited 20 September 2024).

[2] Zhang Z., 2024. Further and comprehensively deepen the reform to empower the development of new quality productive forces. Available from: http://m.toutiao.com/group/7421364226511438376/?upstream_biz=doubao&use_xbridge3=true&loader_name=forest&need_sec_link=1&sec_link_scene=im (cited 8 November 2024).

[3] Porter, M., 2002. National competitive advantage. Li, M., Qiu, R. (Eds.). Huaxia Publishing House: Nanjing, China. pp. 63–64.

[4] The School of Management and Development, Lausanne, Switzerlande, IMD.IMD world city international competitiveness evaluation system. Available from: https://worldcompetitiveness.imd.org

[5] Wang, F., 2008. Overview of urban competitiveness theory and evaluation of Hangzhou urban competitiveness. Productivity Research. 15, 159–160+142.

[6] Lain, B., 1999. ITIES and bompetitiveness. UrbanStudies. 36(5–6), 795–809.

[7] Chinas Urban Competitiveness Research Group, 2009. 2009 urban competitiveness in China. Chinese Academy of Social Sciences, 2009.

[8] Lv, S., Hao, C., Evaluation index system of regional competitiveness of various provinces based on factor analysis method. Journal of Hebei Union University (Social Science Edition). 2014(3), 34–37.

[9] Liu, C., Liao, T., Tan, L., et al., 2024. Research on multidimensional evaluation of innovation and development ability of Agricultural Science and Technology Park in Hunan Province. Economic Geography. 44(01), 139–147.

[10] Fan, S., Wang, J., Yuan, S., et al., 2023. Research on innovation ability evaluation and countermeasures of National Agricultural Science and Technology Park in Chongqing municipality. Southern Agriculture. 17(19), 19–26.

[11] Ma, X., Research on the evaluation index system of innovation ability in high-tech parks [PhD thesis]. Beijing, China: Beijing University of Chemical Technology. 2021. pp. 16–22.

[12] Hu, H., 2023. General secretary Xi Jinpings important discussion on new quality productivity. Economist. 12, 16–24.

[13] Reng-huai Du., 2024. The theoretical implication of Du Renhuais cultivation, development and expansion of new quality productive forces. Observation and Thinking. 6, 14–27.

[14] Schumpeter, S.R., 2005. Schumpeter. An, J. (Ed.). Jiangsu Peoples Publishing House: Nanjing, China. p. 4.

[15] Chen, Z., 2007. Project research: Research on the growth condition system of science and Technology Park. Zhongguancun Weekly. Issue 1, NI, p. 17.

[16] Zuo, C., 2007. Documentary of transformation and Innovation Development of Private Science and Technology Park in Foshan High-tech Zone [N] Science and Technology Daily On February 17.

[17] Yang, F., Feng, W., 2010. Science and Technology Park development and construction strategy of science and technology park model deep discussion.

[18] Sun, B., Wu, Z., 2002. Management, innovation and case of Italian science and technology parks. Global Science, Technology, Technology and Economic Outlook, Issue 2, page 50.

[19] Yangzhou CPPCC Research Group ,Research report on the development of scientific and technological innovative economy to promote the transformation and upgrading of the development park. Available from: https://m.doc88.com/p-645607795899.html?tt_force_outside=1

[20] Ye, X.-y., Huan, Y.-s., Xu, H., 2024. Evaluation of green development of energy consumption in the Pearl River Delta urban agglomeration based on radial basis function neural network, IET Renew. Power Gener. 1–19. DOI: https://doi.org/10.1049/rpg2.13122

[21] Wang, J., Jiang, L., Yu, H., et al., 2024. Computer vision to advance the sensing and control of built environment towards occupant-centric sustainable development: A critical review. Renewable and Sustainable Energy Reviews. 192, 114165. DOI: https://doi.org/10.1016/j.rser.2023.114165

[22] Hossein K., Jordan W., Sunav D., et al., 2024. Automated estimation of cementitious sorptivity via computer vision. Communications. 15, 9935. DOI: https://doi.org/10.1038/s41467-024-53993-w

[23] Porter, M.E., 1990. The Bompetitve advantage of nations. Harvard Business Review. 11, 73–93.

Downloads

How to Cite

Hui Xu, Xin-yun Ye, & Wenyi Zhang. (2025). Index Evaluation and Application of Green Innovation Ability in the Pearl River Delta Science and Technology Park. Journal of Environmental & Earth Sciences, 7(3), 286–305. https://doi.org/10.30564/jees.v7i3.7888

Issue

Vol. 7 , Iss. 3 (March 2025): In Progress

Article Type

Article

License

Copyright © 2025 Hui Xu, Xin-yun Ye, Wenyi Zhang

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

Crossref
Scopus
Google Scholar
Europe PMC