High-quality development in China requires higher vocational education, scientific and technological innovation, and sustainable economic development. The spatial distribution patterns of these factors show higher levels in the east and coastal areas compared to the west and inland regions, emphasizing the need for coupling coordination with the social economy. This study examines the impact of sustainable economic development on the coupling coordination degree using the spatial Durbin model. The results show a positive promotion and spillover effect, with regional variations. The main factors affecting the difference in coupling coordination are the amount of technology market contracts, fiscal expenditure on science and technology, patent application authorizations, tertiary industry output value, and the number of R&D institutions. According to the grey prediction model, the coupling coordination degree is expected to increase from 2022 to 2025, but achieving primary coordination may still be challenging in some areas. Therefore, strategies that utilize regional characteristics for coordinated development should be developed to improve the level of coupling coordination and create a mutually beneficial environment.

1. An, Z., He, E., Du, X., et al. (2024). Path analysis of regional logistics and economy coordinated development: An fsQCA approach. PLOS ONE, 19(2), e0297441. https://doi.org/10.1371/journal.pone.0297441
2. Cai, W., Chen N., & Shi, H. (2022). An Empirical Study on Coupling Coordination Between Higher Education Investment and Economic Growth in Chengdu—Chongqing Economic Circle. Heilongjiang Researches on Higher Education, (02), 46–53. https://doi.org/10.19903/j.cnki.cn23-1074/g.2022.02.007
3. Chen, J. (2020). Research on Fit Degree Between Specialties Setting of Higher Vocational Education and Regional Industrial Development under Background of High-quality Development——A Case Study of Guangzhou Municipal Higher Vocational Colleges. Vocational and Technical Education, (20), 31–35. https://doi.org/CNKI:SUN:ZYJW.0.2020-20-007
4. Chen, J., & Wang, F. (2021). Research on the Fit between Specialty Setting of Higher Vocational Education and Regional Industrial Structure in Guangdong-HongKong-Macao Greater Bay Area from the Perspective of Industry-education Integration. Education and Vocation, (17), 34–39. https://doi.org/10.13615/j.cnki.1004-3985.2021.17.005
5. Cheng, Z., Zhao, T., Zhu, Y., & Li, H. (2022). Evaluating the Coupling Coordinated Development between Regional Ecological Protection and High-Quality Development: A Case Study of Guizhou, China. Land, 11(10), 1775. https://doi.org/10.3390/land11101775
6. Fu, S., Liu, J., Wang, J., et al. (2023). Enhancing urban ecological resilience through integrated green technology progress: evidence from Chinese cities. Environmental Science and Pollution Research, 31(25), 36349–36366. https://doi.org/10.1007/s11356-023-29451-3
7. Gao, Z. G., Zhi, Y., & Han, Y. L. (2023). Research on the impact of science and technology innovation on the high-quality development of China’s regional economy—A measurement analysis based on data on the development level of 30 provinces from 2009 to 2018. China University Science & Technology, (03), 14–21. https://doi.org/10.16209/j.cnki.cust.2023.03.032
8. Geng, M., & Tian H. (2023). The Coupling and Coordination between Higher Education and Industry and Its Economic Effect: An Empirical Analysis Based on the Provincial Panel Data and Spatial Dubin Model. Chongqing Higher Education Research, (03), 64–78. https://doi.org/10.15998/j.cnki.issn1673-8012.2023.03.005
9. Geng, Y. Q., Chen, L. Y., Li, J. Y., & Iqbal, K. (2023). Higher education and digital Economy: Analysis of their coupling coordination with the Yangtze River economic Belt in China as the example. Ecological Indicators, 154, 110510. https://doi.org/10.1016/j.ecolind.2023.110510
10. Geng, Y., & Yan, Y. (2021). Higher education and science popularization: Can they achieve coordinated growth? PLOS ONE, 16(9), e0256612. https://doi.org/10.1371/journal.pone.0256612
11. Geng, Y., Chen, L., Li, J., & Iqbal, K. (2023). Higher education and digital economy: Analysis of their coupling coordination with the Yangtze River economic belt in China as the example. Ecological Indicators, 154, 110510. https://doi.org/10.1016/j.ecolind.2023.110510
12. Guo, X. J., Li, J. Q., Ma, Y. J., et al. (2023). Study on the Coupling and Coordination between Urban Resilience and Low-Carbon Development of Central Plains Urban Agglomeration. Sustainability, 15(24), 16748. https://doi.org/10.3390/su152416748
13. Han, D., Chen, L., Wu, H., et al. Evaluation on coupling coordinated development of population economy and eco-geological environment in the twin-city economic circle of Chengdu—Chongqing region. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-40352-w
14. Han, X., Fu, L., Lv, C., & Peng, J. (2023). Measurement and spatio-temporal heterogeneity analysis of the coupling coordinated development among the digital economy, technological innovation and ecological environment. Ecological Indicators, 151, 110325. https://doi.org/10.1016/j.ecolind.2023.110325
15. Han, Y., Ni, R., Deng, Y., et al. (2023). Supply and demand of higher vocational education in China: Comprehensive evaluation and geographical representation from the perspective of educational equality. PLOS ONE, 18(10), e0293132. https://doi.org/10.1371/journal.pone.0293132
16. Hu, R. F., & Xu, W. Q. (2022). Exploring the Technological Changes of Green Agriculture in China: Evidence from Patent Data (1998–2021). Sustainability, 14(17), 10899. https://doi.org/10.3390/su141710899
17. Huang, Z., Fan, S., Zhou, Y., et al. (2023). The collaborative development of graduate education and high economic quality and its dynamic evolution forecast. Heliyon, 9(11), e21438. https://doi.org/10.1016/j.heliyon.2023.e21438
18. Jiang, J., & Zhang, Y. (2023). Empirical Study on the Coupling between Specialty Cluster Setting and Industrial Structure of Higher Vocational Education in Jiangsu. Vocational and Technical Education, (23), 36–41. https://doi.org/CNKI:SUN:ZYJW.0.2023-23-006
19. Lesage, J. P. (2008). Introduction to spatial econometrics. Varia, 1223, 19–44. https://doi.org/10.4000/rei.3887
20. Li, H. J., & Liu, S. (2021). Higher Education, Technological Innovation, and Regional Sustainable Development: Insights from a VAR Model. Discrete Dynamics in Nature and Society, 2021, 8434528. https://doi.org/10.1155/2021/8434528
21. Li, W., & Yi, P. (2020). Assessment of city sustainability—Coupling coordinated development among economy, society and environment. Journal of Cleaner Production, 256, 120453. https://doi.org/10.1016/j.jclepro.2020.120453
22. Li, X., Fang, B., Yin, M., et al. (2022). Multi-Dimensional Urbanization Coordinated Evolution Process and Ecological Risk Response in the Yangtze River Delta. Land, 11(5), 723.
23. Li, Y., Luo, D., Chen, L., et al. (2021). Study on the Influencing Factors and Countermeasures of Tourism Development in Sanya City Based on Grey Relational Analysis. In: Zeng, J., Qin, P., Jing, W., et al. (editors). ICPCSEE 2021—Communications in Computer and Information Science. Springer, Singapore. https://doi.org/10.1007/978-981-16-5943-0_28
24. Lin, S. (2022). Research on the Adaptability Between Specialty Setting and Industrial Structure in Guangdong Higher Vocational Colleges. Education and Vocation, (11), 46–50. https://doi.org/10.13615/j.cnki.1004-3985.2022.11.014
25. Liu, H., & Liu, Z. (2024). On the Spatiotemporal Evolution of the Integration of Industry and Education in Higher Vocational Education under the Background of High-Quality Development. Research in Higher Education of Engineering, (01), 151–157. https://doi.org/CNKI:SUN:GDGJ.0.2024-01-024
26. Liu, X. F., & Ma, L. (2023). Sustainable Development of Business Economy Based on Big Data Algorithm under the Background of Low-Carbon Economy. Sustainability, 15(7), 5840. https://doi.org/10.3390/su15075840
27. Liu, X., & Chen, L. (2022). Research on the Adaptability of Specialty Set-up in Higher Vocational Colleges upon Industrial Structure—An Empirical Study Based on 14 Higher Vocational Colleges in Hainan. Vocational and Technical Education (35), 33–39. https://doi.org/CNKI:SUN:ZYJW.0.2022-35-006
28. Liu, X., Yang, J., Chen, L., & Chen, M. (2016). Prediction for air route passenger flow based on a grey prediction model. In: Proceedings of the 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). pp. 185–190. https://doi.org/10.1109/CyberC.2016.45
29. Ma, W. (2022). Research on the coupling and coordination of green finance, higher education, and green economic growth. Environmental Science and Pollution Research, 29(39), 59145–59158.
30. Pan, H., & Weng, X. (2021). A study on the coupling relationship between higher vocational education and economic and social development in China: based on the panel data of 31 provinces from 2006 to 2018. Journal of Higher Education Management, (02), 12–23. https://doi.org/10.13316/j.cnki.jhem.20210206.002
31. Peng, S. L., & Wu, M. Y. (2021). Research on the coupled and coordinated development of higher education scale and regional economy in China. Statistics & Decisiong, (09), 109–112. https://doi.org/10.13546/j.cnki.tjyjc.2021.09.025
32. Ren, X., & Zhou, Y. (2022). Coupling and coordinated development of higher vocational education and economic development in the Yangtze River economic belt from 2008 to 2020. Computational Intelligence and Neuroscience, 2022, 1–13. https://doi.org/10.1155/2022/2643635
33. Shi, H. (2023). Research on the Coupling Coordination Development of Provincial Higher Education and Digital Economy in China. Chongqing Higher Education Research, (06), 90–102. https://doi.org/10.15998/j.cnki.issn1673-8012.2023.06.009.23
34. Song, M., & Li, M. (2019). The Coupling Degree and Its Determinants of Higher Education, Scientific and Technological Innovation and Economic Development in China. Modern Education Management, (03), 19–25. https://doi.org/10.16697/j.cnki.xdjygl.2019.03.004
35. Sun, F., Shan, Y., Tian, Y., & Lv, Z. (2023). The Coupling and Coordination Relationship and Characteristics of Vocational Education Scale and Regional Economic Development—Analysis Based on Panel Data of 31 Provinces from 2014 to 2020. Contemporary Vocational Education, (01), 35–45. https://doi.org/10.16851/j.cnki.51-1728/g4.2023.01.007
36. Tao, H., & Liao, H. (2016). Research on the Docking between Professional Setting and Industrial Structure of Higher Vocational Colleges in Guangdong Province. Vocational & Technical Education Forum, (18), 40–44. https://doi.org/CNKI:SUN:ZJLT.0.2016-18-008
37. Tao, H., & Shan, L. (2019). Study on the Specialty Setting of Vocational Colleges and Industrial Structure Adaptability in Guangdong-Hong Kong-Macao Greater Bay Area. Journal of Vocational Education, (09), 126–131. https://doi.org/CNKI:SUN:ZJLT.0.2019-09-023
38. Wang, H, & Su, B. (2023). Research on the Coupling and Coordination of Science and Technology Innovation of Higher Education Institutions and Regional Economy and Influencing Factors—Based on the Relevant Data of 30 Provinces in China from 2013–2019. China University Science & Technology, (06), 37–43. https://doi.org/10.16209/j.cnki.cust.2023.06.017
39. Wang, H., & Tang, Y. Spatiotemporal Distribution and Influencing Factors of Coupling Coordination between Digital Village and Green and High-Quality Agricultural Development—Evidence from China. Sustainability, 2023, 15, 8079. https://doi.org/10.3390/ su15108079
40. Wang, J., Shi, X., & Du, Y. (2021). Exploring the relationship among marine science and technology innovation, marine finance, and marine higher education using a coupling analysis: a case study of China’s coastal areas. 132, 104706. https://doi.org/10.1016/j.marpol.2021.104706
41. Wang, M., Zhu, X., & Yin, S. Spatial-temporal coupling coordination and interaction between digitalization and traditional industrial upgrading: A case study of the Yellow River Basin. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-44995-7
42. Wei, Y., Xuan, M., & Liao, D. (2023). Analysis of the Adaptability of the Professional Structure of Agricultural Vocational Education—Based on the Transformation and Upgrading Development of Guangxi’s Agricultural Industrial Structure. Social Scientist, (08), 155–160.
43. Wu, L. R., & Chen, W. (2023). Technological achievements in regional economic development: An econometrics analysis based on DEA. Heliyon, 9(6), e17023. https://doi.org/10.1016/j.heliyon.2023.e17023
44. Xu, H. Y., Hsu, W. L., Meen, T. H., & Zhu, J. H. (2020). Can Higher Education, Economic Growth and Innovation Ability Improve Each Other? Sustainability, 12(6), 2515. https://doi.org/10.3390/su12062515
45. Xu, S., & Xu, D. (2022). On the Regional Industrial Adaptability of Vocational Education Under the Associated Logic——An Empirical Case from Ningbo City. Education Research Monthly, (09), 68–74. https://doi.org/10.16477/j.cnki.issn1674-2311.2022.09.009
46. Yang, J., & Cheng, H. D. (2023). Coupling Coordination between University Scientific & Technological Innovation and Sustainable Economic Development in China. Sustainability, 15(3), 2494. https://doi.org/10.3390/su15032494
47. Ye, C. (2020). Research on Coupling Coordination Development between Scale of Higher Vocational Education and Regional Economy—An Empirical Analysis Based on Panel Data of 12 Provinces (Municipality and Autonomous Regions) in Western China. Vocational and Technical Education, (21), 51–56. https://doi.org/CNKI:SUN:ZYJW.0.2020-21-012.46
48. You, M., Shen, L., & Li, Y. (2021). Analysis on the Adaptability of Higher Vocational Colleges’ Professional Settings and Industrial Structure under the Background of “Double-Higher”—Taking Jiangsu Agricultural-related Higher Vocational Colleges as an Example. Chinese Vocational and Technical Education, (20), 47–51. https://doi.org/CNKI:SUN:ZONE.0.2021-20-008
49. Yu, Z., & Yu, J. (2023). Evaluation of the coordinated development between Chinese cultural industry and scientific & technological innovation. PLOS ONE, 18(7), e0284213. https://doi.org/10.1371/journal.pone.0284213
50. Zhan, Q., Li, G., & Zhan, W. (2023). Measurement of the coupling coordination relationship between the structures of secondary vocational school programs and industries in China. Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01834-4
51. Zhang, Y., Hong, X., & Wang, Y. (2023). Study on the Coupled and Coordinated Development and Evolution of Digital Economy and Green Technology Innovation. Sustainability, 15(10), 8063. https://doi.org/10.3390/su15108063