The Analysis of Sustainable Development Capacity of Regional Differences in Chinese Rural Credit Cooperatives Based on Panel Data

DOI

10.2991/icesame-16.2016.263How to use a DOI?

Keywords

rural credit cooperatives; sustainable development; regional differences; panel data model

Abstract

We analyzed the sustainable development of China's rural credit cooperatives in each region by constructing a panel data model, which constructed regional indicators of sustainable development of rural credit cooperatives, And we analyzed various indicators which leaded role in the development of rural credit cooperatives of difference factors in the meantime changed in the time factors which affected to differences of the sustainable development of rural credit cooperatives.Number of rural credit cooperatives come on profitable growth in rural credit cooperatives play an important role, We draw the number of rural credit of rural credit cooperatives which played an important role to profit growth This shows that the main business of lending is still mainly rural credit cooperatives, which mainly concerned loans for farmers.So less active of the sustainable development of the region should learn experiences and approaches which the capability of sustainable development are strong in some regionals combined with the actual situation to improve their capacity for sustainable development.

Copyright

© 2016, 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/).

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TY  - CONF
AU  - Xiaohong Dong
PY  - 2016/03
DA  - 2016/03
TI  - The Analysis of Sustainable Development Capacity of Regional Differences in Chinese Rural Credit Cooperatives Based on Panel Data
BT  - Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
PB  - Atlantis Press
SP  - 1237
EP  - 1243
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-16.2016.263
DO  - 10.2991/icesame-16.2016.263
ID  - Dong2016/03
ER  -