SFA模型在生态效率评价中的应用述评  

Review on the Application of SFA Model in Ecological Efficiency Evaluation

作　　者：张振 周利梅[1] ZHANG Zhen;ZHOU Limei(School of Economics,Fujian Normal University,Fuzhou,Fujian 350007)

机构地区：[1]福建师范大学经济学院,福建福州350007

出　　处：《武夷学院学报》2023年第6期47-52,共6页Journal of Wuyi University

基　　金：全国中国特色社会主义政治经济学研究中心(福建师范大学)重点项目(Z202106);福建省创新战略研究项目(2022R0026)。

摘　　要：随机前沿分析(SFA)由一般线性回归逐步拓展到面板数据、空间效应和广义SFA模型,生产函数一般用C-D生产函数、超越对数生产函数或方向距离函数,估计方法大都采用极大似然估计、广义矩估计或者贝叶斯估计。SFA模型作为一种参数方法具有许多优势,在区域、城市和行业的生态效率评价中应用广泛,但也面临函数形式设定、误差项拆分和估计方法复杂等问题,未来应用趋势是丰富函数形式、结合更多计量模型并且不断优化参数估计方法。Stochastic Frontier Analysis(SFA)is gradually extended from general linear regression to panel data,spatial effects and generalized SFA models.The production function generally uses C-D production function,translogarithmic production function or directional distance function.Most of the estimation methods use maximum likelihood estimation,generalized moments estimation,or bayesian estimation.As a parametric method,the SFA model has many advantages and is widely used in the evaluation of ecological efficiency in regions,cities and industries,but it also faces problems such as function form setting,error term splitting and complex estimation methods.The future application trend is to enrich functions form,incorporate more econometric models,and continuously optimize parameter estimation methods.

关 键 词：随机前沿分析 面板数据 生态效率 极大似然估计 

分 类 号：F062.2[经济管理—政治经济学]