Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Analysis on the Influencing Factors of Farmers' Family Operating Income in Heilongjiang Province ---Based on Multiple Linear Regression

Authors
Sha Lou
Corresponding Author
Sha Lou
Available Online April 2017.
DOI
10.2991/emim-17.2017.221How to use a DOI?
Keywords
Family operating income; Influencing factors; Multiple linear regression; Micro perspective
Abstract

Farmers' income in Heilongjiang mainly comes from family operating income, so it is necessary to study the influencing factors of family operating income. The paper, using the research data and constructing the multiple linear regression models, studies the key influencing factors of farmers' family operating income from the micro perspective. The paper arrives at the conclusion that the capital investment, land operation scale, the cultural quality of labor force, the agricultural power and the scientific farming play a major role in promoting family operating income.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
978-94-6252-356-2
ISSN
2352-538X
DOI
10.2991/emim-17.2017.221How to use a DOI?
Copyright
© 2017, 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  - Sha Lou
PY  - 2017/04
DA  - 2017/04
TI  - Analysis on the Influencing Factors of Farmers' Family Operating Income in Heilongjiang Province ---Based on Multiple Linear Regression
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1099
EP  - 1103
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.221
DO  - 10.2991/emim-17.2017.221
ID  - Lou2017/04
ER  -