Scholarlink

This chapter reviews the theoretical foundation of SFA and the shortcomings of traditional deterministic frontiers (which neglect random factors). It then discusses the application of SFA to measure energy efficiency and shadow prices, before extending to Meta-SFA for addressing technological heterogeneity. The chapter further covers the development of spatial stochastic frontier models (SAR-SF, CSSF, SDF-CSD, SDF-STE, endogenous spatial SFA), which integrate spatial econometric techniques to capture efficiency spillover effects under geographic or economic linkages. These models address the biases caused by ignoring spatial dependence and endogeneity in traditional models, thereby expanding the applicability and explanatory power of efficiency analysis.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Stochastic Frontier Analysis

  • 章节

  • 发表日期：

    2026年

查看全文
  • Ning Zhang,
  • Kerui Du

摘要

This chapter reviews the theoretical foundation of SFA and the shortcomings of traditional deterministic frontiers (which neglect random factors). It then discusses the application of SFA to measure energy efficiency and shadow prices, before extending to Meta-SFA for addressing technological heterogeneity. The chapter further covers the development of spatial stochastic frontier models (SAR-SF, CSSF, SDF-CSD, SDF-STE, endogenous spatial SFA), which integrate spatial econometric techniques to capture efficiency spillover effects under geographic or economic linkages. These models address the biases caused by ignoring spatial dependence and endogeneity in traditional models, thereby expanding the applicability and explanatory power of efficiency analysis.