@article{oai:nagoya.repo.nii.ac.jp:02005367,
 author = {塚本, 高浩 and TSUKAMOTO, Takahiro},
 issue = {4},
 journal = {経済科学, The Economic Science},
 month = {Mar},
 note = {A wide variety of spatial stochastic frontier models, which merge stochastic frontier models and spatial econometric models, have been proposed. However, these models have not been clarified systematically. In this study, we introduce (non-spatial) stochastic frontier models and basic models of spatial econometrics, systematically categorize the spatial stochastic frontier models, and then clarify the characteristics and issues of each. Specifically, we start with the (non-spatial) stochastic frontier models and review the basic models of spatial econometrics—the spatial lag of X model (SLX), the spatial autoregressive model (SAR), and spatial error models (SEM). We then use the category of these three basic models to review the following spatial stochastic frontier models—spatial lag of X stochastic frontier models (SLXSF), spatial autoregressive stochastic frontier models (SARSF), and spatial inefficiency error stochastic frontier models (SIESF). Finally, we discuss the applicability and extensibility of these models.},
 pages = {191--201},
 title = {確率フロンティアモデルにおける生産者間の空間的相互依存関係の考慮},
 volume = {70},
 year = {2023}
}