Research on the Effect of Rural Finance on Agricultural Economy Based on Spatial Econometric Model
- DOI
- 10.2991/cimns-18.2018.43How to use a DOI?
- Keywords
- agricultural economy; rural finance; spatial clustering; spatial lag model
- Abstract
Based on panel data of 31 provinces, municipalities and autonomous regions in China from 2010 to 2015, the paper constructs a spatial econometric model to analyze the relationship between rural finance and agricultural economy. According to the spatial correlation test, it is concluded that there is spatial clustering effect in China's agricultural economy development. This paper chooses to establish a spatial lag model (SLM). The empirical results show that rural financial scale and rural financial risk have a significant negative impact on agricultural economy. The impact of rural financial structure on agricultural economy is not well demonstrated; rural financial efficiency has a significant positive impact on agricultural economy. The government influence has a significant positive effect on the agricultural economy. Therefore, when 31 provinces, municipalities and autonomous regions increase investment in rural finance scale, they must pay attention to improving rural financial efficiency and preventing rural financial risks, so that rural finance can better serve agricultural economic development.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Feng Li AU - Chenggang Li PY - 2018/11 DA - 2018/11 TI - Research on the Effect of Rural Finance on Agricultural Economy Based on Spatial Econometric Model BT - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018) PB - Atlantis Press SP - 193 EP - 195 SN - 2352-538X UR - https://doi.org/10.2991/cimns-18.2018.43 DO - 10.2991/cimns-18.2018.43 ID - Li2018/11 ER -