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农民工返乡创业政策满意度影响因素分析
引用本文:朱红根,陈昭玖,张月水. 农民工返乡创业政策满意度影响因素分析[J]. 商业研究, 2011, 0(2): 143-148
作者姓名:朱红根  陈昭玖  张月水
作者单位:1. 江西农业大学,经贸学院,南昌,330045
2. 国家统计局江西省调查总队,南昌,330046
基金项目:国家自然科学基金项目,项目编号:70963005; 国家社科基金项目,项目编号:09BJY067; 教育部人文社科基金项目,项目编号:09YJC790128;教育部人文社科基金项目,项目编号:10YJC790119
摘    要:通过实证分析农民工返乡创业政策满意度的影响因素,发现作为中间变量的创业培训评价、创业园区评价、用地优惠评价、简化工商登记评价、信贷扶持评价、信息咨询评价、税收减免评价直接影响农民工返乡创业政策满意度,初始变量中除30-39岁年龄、家庭人均收入、兄弟姐妹数、地理位置、离乡镇远近及村居民收入水平直接影响返乡创业政策满意度外,40-49岁的年龄、婚姻、文化、家庭人口数等因素间接影响农民工对返乡创业政策的满意度。

关 键 词:农民工  返乡创业政策  满意度  影响因素  实证分析

An Analysis of Factors Affecting Migrant Workers' Satisfaction Degree on Returning Start Businesses Policy
ZHU Hong-gen,CHEN Zhao-jiu,ZHANG Yue-shui. An Analysis of Factors Affecting Migrant Workers' Satisfaction Degree on Returning Start Businesses Policy[J]. Commercial Research, 2011, 0(2): 143-148
Authors:ZHU Hong-gen  CHEN Zhao-jiu  ZHANG Yue-shui
Affiliation:ZHU Hong-gen1,CHEN Zhao-jiu1,ZHANG Yue-shui2(1.Economic and Trade College of Jiangxi Agricultural University,Jiangxi 330045,China,2.Jiangxi Survey Team,National Statistics Bureau,Nanchang 330046,China)
Abstract:This paper analyses factors affecting migrant workers ′satisfaction degree on returning start businesses policy.According to empirical results,entrepreneurship training evaluation,business park evaluation,land concessions evaluation,simplifying business registration assessment,credit support evaluation,information evaluation,consultation evaluation and tax relief evaluation have direct effect on satisfaction degree on returning start businesses policy as intermediate variables.40-49 years of age,marriage,culture,family size have indirect effect on satisfaction degree on returning start businesses policy as indirect variables among initial variables,while 30-39 years of age,family income,number of brothers and sisters,geographic location,distance from the township and village level income have direct effect on satisfaction degree on returning start businesses policy.
Keywords:migrant workers  returning start businesses policy  satisfaction degree  influence factor  empirical analysis  
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