摘要
基于冯·诺依曼效用函数和政策干预理论,通过引入补贴和技术风险对技术采用模型进行了修正,从理论上分析了政府补贴对技术采用的影响机理,并利用山西和河北两省调研数据,实证检验了政府补贴对低碳农业技术采用的干预效应。研究结果表明:1)该技术采用率偏低,只有17%;2)补贴政策对技术采用具有显著的促进作用,在考虑样本选择性偏误后,补贴的这种正向干预效应变大;3)技术风险对技术采用具有显著的阻碍作用;4)补贴分配具有一定的内生性,参加项目是补贴分配的制度"门槛",土地规模和土地产权是补贴分配的显著制约因素。
Based on VHM utility functions and government intervention theory,we corrected the technology adoption model with the policy intervention and risk,and analyzed theoretically the impact system of the subsidy on the low carbon technology adoption. Then the intervention effect of the subsidy on the low carbon technology adoption was tested based on survey data in Shanxi and Hebei provinces. The results show as follows： firstly,the rate of the technology adoption was lower,only 17%; secondly,the subsidy had a significant positive effect on the low carbon technology adoption,and the positive effect of the subsidy was larger considering the sample selectivity bias; thirdly,the technology risk factors had a significant negative impact on technology adoption;fourthly,in process of subsidy allocation,participation in the project was the system ＂ threshold＂,land areas and land rights were the significant constraints,therefore the subsidy allocation had a certain endogeneity.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2016年第4期46-50,共5页
Journal of Arid Land Resources and Environment
基金
高等学校博士学科点专项科研基金项目(20120008110032)
公益性行业科研专项(201103001)
北京市果类蔬菜产业创新团队项目
黑龙江省哲学社会科学研究规划项目扶持共建项目(13E082)
黑龙江省社科规划青年项目(13C063)资助
关键词
低碳农业技术
补贴政策
干预效应
冯·诺依曼效用函数
low carbon agricultural technology
subsidies policy
treatment effect
VHM utility functions
