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A comparative analysis of productivity change in Italian and Portuguese airports. Working Paper 006/2007/DE. (2007)

by C P Barros, N Peypoch
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Airport Benchmarking and Spatial Competition: A Critical Review

by Dmitry Pavlyuk - In Transport and Telecommunication Journal , 2012
"... During the last two decades the European airport industry is liberalised and turned to competitive market environment. This fact attracts an increasing scientific and practical interest to analysis of airport efficiency and its determinants, as well as different aspects of airport competition. This ..."
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During the last two decades the European airport industry is liberalised and turned to competitive market environment. This fact attracts an increasing scientific and practical interest to analysis of airport efficiency and its determinants, as well as different aspects of airport competition. This paper contains a critical review of existing researches in these two areas -airport efficiency and spatial competition among airports. We analysed modern approaches to airport benchmarking, their advantages and shortcomings, and systematised a wide range of related academic studies. We paid special attention to empirical researches of spatial competition as a factor affecting airport efficiency. Despite the fact of a well-developed theory of spatial competition and signs of its growing effects in the airport industry, we discovered a lack of studies devoted to the relationship between airport efficiency and spatial competition.
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...with environmental, structural and managerial variables. This research can be considered as a pioneering one and a base for many modern DEA-based airport benchmarking researches. Another frequently cited DEA application is Sarkis’ US airports performance analysis [33]. Recently published studies include several country-specific DEA application for Spanish [34], [35], Greek [36], Malaysian [37], and Latin America’s [38] airports. Barros et al. applied Gillen-Lall’s approach to analyse airports in United States [39], in Argentine [40], in United Kingdom [30], [41], in Italy and Portugal jointly [42], and in Canada [43]. To the best of our knowledge, the most researched European countries in this aspect are Germany and Italy. German Aviation Research Society (GARS) published a set of researches ([44], [45], [22]), where the approach by Malmqvist-DEA was applied to a sample of German airports. Adler and Liebert [46] complemented DEA efficiency values with second stage OLS, Tobit, and truncated regressions on ownership, regulation, and management characteristics. Ulku, Muller, et al. [31], [47] analysed German airports applying Simar-Wilson’s double bootstrapping procedure (among other rese...

from French Plants

by Corinne Autant-bernard, Jean-pascal Guironnet, Nadine Massard , 2010
"... Abstract: This paper investigates the effect of inter-firm and intra-firm spillovers on the productivity of firms, using French data. The Luenberger Productivity Indicator (LPI) is used to estimate the productivity and to break it down into several components (e.g. efficiency, biased technical progr ..."
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Abstract: This paper investigates the effect of inter-firm and intra-firm spillovers on the productivity of firms, using French data. The Luenberger Productivity Indicator (LPI) is used to estimate the productivity and to break it down into several components (e.g. efficiency, biased technical progress, scale effects, etc.). Using this approach, negative productivity changes are found due to the unfavourable economic situation over 2000-2002. Intangible assets underlying productivity change are then investigated through a Maximum Likelihood Random Effect (MLRE) model. Spillover effects – influencing Total Factor Productivity (TFP) and its correspondent components, technological and efficiency changes – are found.
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...0489260, version 1 - 4 Jun 2010 where � is the measure of inefficiency for firm i in year t. The constraint� θ i = 1 represents the VRS. Then, LPI and the directional distance function are used (e.g. =-=Barros and Peypoch, 2008-=-) to measure the Total Factor Productivity (TFP) of a firm i: 1 Δ TFP = [ Dt ( xt , yt ; g) − Dt ( xt+ 1, yt+ 1; g)] +[ Dt+ 1( xt , yt ; g) − Dt+ 1( xt+ 1, yt+ 1; g)] (4) 2 This indicator can be decom...

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