@article{oai:nagoya.repo.nii.ac.jp:00008739,
 author = {根本, 二郎 and 小澤, 良往 and NEMOTO, Jiro and KOZAWA, Yoshiyuki},
 issue = {4},
 journal = {経済科学},
 month = {Mar},
 note = {This paper is aimed to examine the stochastic frontier analysis as a practical tool for a benchmarking study of efficiency in multiproduct production. We apply a Bayesian approach using Markov Chain Monte Carlo to measuring efficiency of the Solid Waste Management in Japan. This approach allows to specify a more flexible distribution of technical efficiency than one-dimensional distribution normally employed by the conventional maximum likelihood approach. The results are compared to those obtained by the conventional maximum likelihood method. We show that the Bayesian approach gives plausible measurements. In addition, the ranking of efficiency is very similar between two approaches.},
 pages = {19--27},
 title = {複数生産物の場合の確率的フロンティアと技術効率性の計測－一般廃棄物処理事業の効率性分析－},
 volume = {54},
 year = {2007}
}