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題名 A New Approach to Estimating the Metafrontier Production Function Based on a Stochastic Frontier Framework
作者 黃台心
Huang, Cliff J. ; Huang, Tai-Hsin ; Liu, Nan-Hung
貢獻者 金融系
關鍵詞 Metafrontier;Technical efficiency;Technology gap;Environmental variables
日期 2014.06
上傳時間 6-Nov-2014 16:18:25 (UTC+8)
摘要 This paper proposes a new two-step stochastic frontier approach to estimate technical efficiency (TE) scores for firms in different groups adopting distinct technologies. Analogous to Battese et al. (J Prod Anal 21:91–103, 2004), the metafrontier production function allows for calculating comparable TE measures, which can be decomposed into group specific TE measures and technology gap ratios. The proposed approach differs from Battese et al. (J Prod Anal 21:91–103, 2004) and O’Donnell et al. (Empir Econ 34:231–255, 2008) mainly in the second step, where a stochastic frontier analysis model is formulated and applied to obtain the estimates of the metafrontier, instead of relying on programming techniques. The so-derived estimators have the desirable statistical properties and enable the statistical inferences to be drawn. While the within-group variation in firms’ technical efficiencies is frequently assumed to be associated with firm-specific exogenous variables, the between-group variation in technology gaps can be specified as a function of some exogenous variables to take account of group-specific environmental differences. Two empirical applications are illustrated and the results appear to support the use of our model.
關聯 Journal of Productivity Analysis, 42(3), 241-254
資料類型 article
dc.contributor 金融系en_US
dc.creator (作者) 黃台心zh_TW
dc.creator (作者) Huang, Cliff J. ; Huang, Tai-Hsin ; Liu, Nan-Hungen_US
dc.date (日期) 2014.06en_US
dc.date.accessioned 6-Nov-2014 16:18:25 (UTC+8)-
dc.date.available 6-Nov-2014 16:18:25 (UTC+8)-
dc.date.issued (上傳時間) 6-Nov-2014 16:18:25 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/71190-
dc.description.abstract (摘要) This paper proposes a new two-step stochastic frontier approach to estimate technical efficiency (TE) scores for firms in different groups adopting distinct technologies. Analogous to Battese et al. (J Prod Anal 21:91–103, 2004), the metafrontier production function allows for calculating comparable TE measures, which can be decomposed into group specific TE measures and technology gap ratios. The proposed approach differs from Battese et al. (J Prod Anal 21:91–103, 2004) and O’Donnell et al. (Empir Econ 34:231–255, 2008) mainly in the second step, where a stochastic frontier analysis model is formulated and applied to obtain the estimates of the metafrontier, instead of relying on programming techniques. The so-derived estimators have the desirable statistical properties and enable the statistical inferences to be drawn. While the within-group variation in firms’ technical efficiencies is frequently assumed to be associated with firm-specific exogenous variables, the between-group variation in technology gaps can be specified as a function of some exogenous variables to take account of group-specific environmental differences. Two empirical applications are illustrated and the results appear to support the use of our model.en_US
dc.format.extent 393464 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Journal of Productivity Analysis, 42(3), 241-254en_US
dc.subject (關鍵詞) Metafrontier;Technical efficiency;Technology gap;Environmental variablesen_US
dc.title (題名) A New Approach to Estimating the Metafrontier Production Function Based on a Stochastic Frontier Frameworken_US
dc.type (資料類型) articleen