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In this paper, the random stochastic frontier model is used to estimate the technical efficiency of Japanese airports taking into regulation and heterogeneity in the variables. The airports are ranked according to their productivity for the period 1987 to 2005 and homogenous and heterogeneous...
Persistent link: https://www.econbiz.de/10005463766
Most empirical investigations of agricultural markets have been conducted using linear models. Therefore, nonlinear dynamic patterns of the market cannot be predicted based on these models under any circumstances. Consequently, little is known about the role of nonlinear dynamics and the whether...
Persistent link: https://www.econbiz.de/10010816449
This paper analyses efficiency drivers of a representative sample of Japanese seaports by means of the two-stage procedure proposed by Simar and Wilson (2007). In the first stage, the technical efficiency of seaports is estimated using several models of data envelopment analysis (DEA) that might...
Persistent link: https://www.econbiz.de/10005628412
This paper evaluates the production activities of Japanese airports by using a finite mixture model that allows controlling for unobserved heterogeneity. In doing so, a stochastic frontier latent class model, which allows the existence of different technologies, is adopted to estimate production...
Persistent link: https://www.econbiz.de/10009395553
This study evaluates efficiency of forest management in Japan. Our results show that efficiency of forest management decreases over 25 years period from 1975 to 2000 on an average. The study indicates a substantial variation in efficiency across prefectures with a potential for output saving in...
Persistent link: https://www.econbiz.de/10010668712
This paper evaluates the production activities of Japanese airports from 1987-2005 by using the directional slacks-based Inefficiency Data Envelopment Analysis model. Three measures of efficiency are estimated: the SBI-directional slacks-based inefficiency measure, the directional distance...
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