Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)

Empirical Study on the Relationship Between Rural Credit and Farmers' Income in Sichuan Province

Authors
Dongchuan Lin, Ying Chen, Guohui Zhang, Yingzi Shui
Corresponding Author
Dongchuan Lin
Available Online 20 December 2019.
DOI
10.2991/aebmr.k.191217.014How to use a DOI?
Keywords
Rural economics, Rural credit, Farmers’ income
Abstract

This paper studied the relationship between rural credit and farmers' income based on the data from 2000 to 2016 by constructing the C-D production function, comprehensively applying the ADF test, co-integration test and Granger Causality test. It indicated that there was a positive relationship between them in Sichuan Province. Therefore, this paper put forward some suggestions on how to improve the conditions of rural credit, increase the input of rural credit and promote farmers' income.

Copyright
© 2019, 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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Volume Title
Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
20 December 2019
ISBN
10.2991/aebmr.k.191217.014
ISSN
2352-5428
DOI
10.2991/aebmr.k.191217.014How to use a DOI?
Copyright
© 2019, 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  - Dongchuan Lin
AU  - Ying Chen
AU  - Guohui Zhang
AU  - Yingzi Shui
PY  - 2019
DA  - 2019/12/20
TI  - Empirical Study on the Relationship Between Rural Credit and Farmers' Income in Sichuan Province
BT  - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
PB  - Atlantis Press
SP  - 81
EP  - 84
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191217.014
DO  - 10.2991/aebmr.k.191217.014
ID  - Lin2019
ER  -