TY - JOUR
T1 - The coordinated development of higher vocational education, scientific and technological innovation, and sustainable economic development
T2 - Spatial distribution, influencing factors and future prediction
AU - Liu, Xia
AU - Wang, Yuli
AU - Luo, Dan
AU - Chen, Lei
AU - Zhang, Hongfeng
N1 - Publisher Copyright:
© 2024 by author(s).
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - coupling coordination degree
KW - grey model
KW - higher vocational education
KW - scientific and technological innovation
KW - spatial autocorrelation
KW - sustainable economic development
UR - http://www.scopus.com/inward/record.url?scp=85203052360&partnerID=8YFLogxK
U2 - 10.24294/jipd.v8i8.5991
DO - 10.24294/jipd.v8i8.5991
M3 - Article
AN - SCOPUS:85203052360
SN - 2572-7923
VL - 8
JO - Journal of Infrastructure, Policy and Development
JF - Journal of Infrastructure, Policy and Development
IS - 8
M1 - 5991
ER -