林业对农户增收的影响研究——以陕西省为例  

Study on the Factors Affecting the Increase of Farmers’Income in Forestry--Taking Shaanxi Province as an Example

作　　者：彭雨涵 郭霖萱 王子依 张凝悦 陈文汇[1] 姚宇翔 PENG Yu-han;GUO Lin-xuan;WANG Zi-yi(School of Economics&Management,Beijing Forestry University,Beijing 100083)

机构地区：[1]北京林业大学经济管理学院,北京100083

出　　处：《安徽农业科学》2020年第17期232-235,共4页Journal of Anhui Agricultural Sciences

基　　金：国家级大学生创新创业训练计划项目(201910022060)。

摘　　要：基于陕西省7个区县2018年农户林业增收调研数据,建立了二元Logistic回归模型,发现当地农户林业增收受资金投入、劳动力投入、劳动效率等多种因素的影响。同时运用灰色关联度分析模型,确定了农户增收因素的影响程度序列从高到低依次为:农业劳动效率、林下养殖业资金投入、劳动力投入、林下种植业资金投入、经济林面积、从事林下经济产业种类。据此分析陕西省农户林业增收及发展现状,进而为当地农户增收提出建议。Based on the survey data of farmers’forestry income increase in 7 districts and counties of Shaanxi Province in 2018,a binary Logistic regression model was established,and it was found that the increase of local farmers’forestry income was affected by various factors such as investment,labor input,and labor efficiency.This article further used the gray correlation analysis model to determine the sequence of the impact degree of farmers’income increase factors in order from high to low:agricultural labor efficiency,investment in under-forest plantation and under-forest aquaculture,non-timber forest capital investment per unit of forest land area,number of types engaged in the forestry industry,labor input.Based on this,the forestry income increase and development status of farmers in Shaanxi Province were analyzed,and suggestions for local farmers to increase income were proposed.

关 键 词：林业增收 二元Logistic回归模型 灰色关联度分析 林下经济 

分 类 号：S-9[农业科学]