Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China
Summary. Green technology innovation directly reduces agricultural carbon emissions and creates positive spillover effects in neighboring regions. Energy structure optimization and agricultural industry agglomeration both strengthen this effect, though using both mechanisms simultaneously may reduce agglomeration's benefits. The study uses Jiangsu Province data to demonstrate that managing technology transfer between regions while accounting for spatial spillover effects can effectively reduce agricultural emissions.
Cite this article
Rong, J., Hong, J., Guo, Q., Zhou, F., & Chen, S.. (2023). Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China. Ecological Indicators. https://doi.org/10.1016/j.ecolind.2023.111147
Rong, Jing, et al. “Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China.” Ecological Indicators, 2023. https://doi.org/10.1016/j.ecolind.2023.111147.
Rong, Jing, Jun Hong, Quan Guo, Fang Zhou, and Shikun Chen. 2023. “Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China.” Ecological Indicators. https://doi.org/10.1016/j.ecolind.2023.111147.
@article{rong-2023-path-mechanism-spatial-spillover-effect,
title = {Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China},
author = {Jing Rong and Jun Hong and Quan Guo and Fang Zhou and Shikun Chen},
journal = {Ecological Indicators},
year = {2023},
doi = {10.1016/j.ecolind.2023.111147},
url = {https://doi.org/10.1016/j.ecolind.2023.111147}
}
TY - JOUR TI - Path mechanism and spatial spillover effect of green technology innovation on agricultural CO2 emission intensity: A case study in Jiangsu Province, China AU - Jing Rong AU - Jun Hong AU - Quan Guo AU - Fang Zhou AU - Shikun Chen JO - Ecological Indicators PY - 2023 DO - 10.1016/j.ecolind.2023.111147 UR - https://doi.org/10.1016/j.ecolind.2023.111147 ER -
Details
- DOI
- 10.1016/j.ecolind.2023.111147
- Countries
- China
- Regions
- Asia
- Categories
- climate-and-environment, agtech, regional-innovation-systems
- Added
- 2026-04-28