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Does the Entry Mode of Foreign Banks Matter for Bank ... - EconomiX

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The ability <strong>of</strong> managers to convert inputs into outputs is <strong>of</strong>ten influenced byexogenous variables that characterize <strong>the</strong> environment in which production takes place.The question <strong>the</strong>n is how to account <strong>for</strong> <strong>the</strong>se environmental factors?There are three competing approaches regarding <strong>the</strong> way <strong>the</strong> issue <strong>of</strong> environmentis addressed.Environmental factors in <strong>the</strong> production frontierThe first approach assumes that <strong>the</strong> environmental factors influence <strong>the</strong> shape <strong>of</strong><strong>the</strong> technology. There<strong>for</strong>e, <strong>the</strong>se factors should be included directly into <strong>the</strong> nonstochasticcomponent <strong>of</strong> <strong>the</strong> production frontier (e.g., Good et al. (1993)). This leads to amodel <strong>of</strong> <strong>the</strong> <strong>for</strong>mln qi= x β + z γ + v − u'i'iwhere z i is a vector <strong>of</strong> (trans<strong>for</strong>mations <strong>of</strong>) environmental variables and γ is a vector <strong>of</strong>unknown parameters. In this case, it is assumed that each firm faces a differentproduction frontier.Environmental factors in <strong>the</strong> inefficiency termThe second approach assumes <strong>the</strong> environmental factors influence <strong>the</strong> degree <strong>of</strong>technical inefficiency (and not <strong>the</strong> shape <strong>of</strong> technology) and hence that <strong>the</strong>se factorsshould be modeled so that <strong>the</strong>y directly influence <strong>the</strong> inefficiency term 6 . The underlyinghypo<strong>the</strong>ses is that all firms share <strong>the</strong> same technology represented by <strong>the</strong> productionfrontier and that <strong>the</strong> environmental factors have an influence only on <strong>the</strong> distance thatseparates each firm from <strong>the</strong> best practice function.Early empirical papers (e.g. (Pitt & Lee, 1981) and (Kalirajan, 1981)) explore <strong>the</strong>relationship between environmental variables and predicted technical efficiencies using atwo-stage approach. In <strong>the</strong> first stage, <strong>the</strong> firm-specific inefficiency effects assumed to beidentically distributed are retrieved from <strong>the</strong> estimated stochastic frontier. In <strong>the</strong> secondstage, <strong>the</strong> predicted inefficiencies are used as a dependent variable in a regression modelin which explanatory exogenous variables seek to explain differences in <strong>the</strong>se effects(e.g. (Mester, 1993)). This approach is subject to two main weaknesses. One is that, in<strong>the</strong> first stage, when <strong>the</strong> production or cost relationship is estimated, <strong>the</strong> efficiency termsii6 For a comparison <strong>of</strong> <strong>the</strong>se two approaches, see Coelli et al. (1999).-20-

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