摘要
基于地区差异性视角,采用可内生划分组别的潜类别随机前沿模型,研究了各省林业生产的效率状况。研究表明由于地区间人力资本、降水量、年均气温的差异性,全国各省林业分成两个类别,分别有各自的技术前沿和函数形式;a类中,浙江省林业生产效率最高,福建林业生产效率次之;b类中,江苏省林业效率最高,林业生产效率整体呈现出提升态势。
We use the latent class stochastic frontier model that can be endogenously grouping to research the efficiency of the provincial forestry production situation from the perspective of regional heterogeneity. The research shows that due to the differences of regional human capital, precipitation, average temperature, the national provincial forestry is divided into two categories,each having their own technological frontier and functional form;that the forestry production efficiency in Zhe- jiang Province was the highest, and that in Fujian Province takes the second place in category a;that the forestry efficiency in Jiangsu Province was the highest in Category b;and that the forestry production efficiency as a whole presents an ascending trend.
出处
《南昌工程学院学报》
CAS
2017年第3期78-83,共6页
Journal of Nanchang Institute of Technology
基金
教育部人文社科青年项目(15YJC790025)
全国统计科研计划重点课题(2014LZ54)
江西省社科规划项目(15YJ33)
关键词
潜类别随机前沿
地区差异性
林业生产效率
latent class stochastic frontier
regional heterogeneity
forestry production efficiency