The Impact of Labor Transfer on Farm Households' Adoption of Forestry Technology - Based on the survey data in Hunan, Jiangxi and Fujian provinces

DOI

10.2991/iemetc-17.2017.61How to use a DOI?

Keywords

Camellia Oleifera Cultivation; Technical Requirements; Technical Channels; Labor Transfer

Abstract

The logistic regression method has been used to analyze the impact of labor transfer on farm household' technical requirements and access to forestry technology, based on 247 household data of survey in Hunan, Jiangxi and Fujian provinces which are three main Camellia oleifera producing areas. The results showed that labor transfer has significant effect on farm households' adoption of farming techniques and channels, the high level of labor transfer is not conducive to the adoption of new techniques. Farm households with labor loss have little interest in advanced the techniques of Camellia oleifera cultivation and be more willing to engage in traditional productive activities. While Camellia oleifera growers with the high level of labor transfer tend to get new technology from various ways other than the technical service from government, there is less demand for new techniques in these households. Therefore, for agro-tech departments, it is necessary to pay attention to the technical choice of farmers when developing agro-technical popularization policies, meanwhile, it is needed to focus on the influence of roles differentiation, family characteristics, land scale and other aspects on farm households' adoption of farming techniques and channels, to improve China's forestry technology contribution rate to forestry economic growth more practically.

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/).

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TY  - CONF
AU  - Xiaomin Jiang
AU  - Weiping Liu
PY  - 2017/07
DA  - 2017/07
TI  - The Impact of Labor Transfer on Farm Households' Adoption of Forestry Technology - Based on the survey data in Hunan, Jiangxi and Fujian provinces
BT  - Proceedings of the 2017 9th International Economics, Management and Education Technology Conference (IEMETC 2017)
PB  - Atlantis Press
SP  - 287
EP  - 290
SN  - 2352-5428
UR  - https://doi.org/10.2991/iemetc-17.2017.61
DO  - 10.2991/iemetc-17.2017.61
ID  - Jiang2017/07
ER  -