Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China
Summary. This study maps how agricultural science and technology innovation spreads across 30 Chinese provinces through two stages: R&D and technology application. Using network analysis, researchers found that innovation shows clear spatial correlation and spillover effects across regions. The network has a core-periphery structure with strong stability. Market differences, government agricultural support, geographic proximity, and regional economic development drive innovation spread. The findings support cross-regional coordination mechanisms to address uneven distribution of innovation resources.
Cite this article
Wang, F., Wu, L., & Zhang, F.. (2020). Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China. Symmetry. https://doi.org/10.3390/sym12111773
Wang, Fulin, et al. “Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China.” Symmetry, 2020. https://doi.org/10.3390/sym12111773.
Wang, Fulin, Ling Wu, and Fan Zhang. 2020. “Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China.” Symmetry. https://doi.org/10.3390/sym12111773.
@article{wang-2020-network-structure-influencing-factors-agricultural,
title = {Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China},
author = {Fulin Wang and Ling Wu and Fan Zhang},
journal = {Symmetry},
year = {2020},
doi = {10.3390/sym12111773},
url = {https://doi.org/10.3390/sym12111773}
}
TY - JOUR TI - Network Structure and Influencing Factors of Agricultural Science and Technology Innovation Spatial Correlation Network—A Study Based on Data from 30 Provinces in China AU - Fulin Wang AU - Ling Wu AU - Fan Zhang JO - Symmetry PY - 2020 DO - 10.3390/sym12111773 UR - https://doi.org/10.3390/sym12111773 ER -
Details
- DOI
- 10.3390/sym12111773
- Countries
- China
- Regions
- Asia
- Categories
- agtech, regional-innovation-systems, policy
- Added
- 2026-04-28