E3S Web Conf.
Volume 214, 20202020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|Number of page(s)||8|
|Section||Big Data Analysis Application and Energy Consumption Research|
|Published online||07 December 2020|
Behavioral Ability and Division of Forestry Production of Households——Data From Fujian Province in China
1 College of Economics, Fujian Agriculture and Forestry University, Fuzhou, China
2 Collective Forestry Reform and Development Research Center, National Forestry and Grassland Bureau, Fuzhou, China
Division of labor can increase labor productivity. Compared with the division of agricultural production, the division of forestry production has a typical positive externality. It is more scientific to study the division of labor in forestry production. Under the “Three Powers Separated” structure, the behavioral capacity of farmers has an important influence on the division of forestry production. This paper uses the survey data of farmers in Fujian Province to analyze the farmer’s forestry production division of labor behavior from three perspectives of the behavioral ability, the transaction ability and the disposal ability. The results show that the variable of “the contracting right is more important than the management right” in the measure exclusive ability and the difficulty in obtaining transaction information on forestlands to measure the trading capacity, both positively affects farmers’ participation in the division of forestry production. Meanwhile, whether has changed the use of forestlands negatively influences the division of the forestry production. This not only enriches the research results of the forestry production division of labor theory, but also provides a new perspective for promoting the development of the forestry production division of farmers, and thus provides a new source for improving the efficiency of forestry management. It helps promote the connection between small farmers and the development of modern forestry.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.