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On the discrepancy in the social efficiency measures between parametric and non-parametric production technology identification
Institution:1. School of Renewable Natural Resource, Louisiana State University, Baton Rouge, LA 70803, USA;2. Department of Forestry, Mississippi State University, Mississippi State, MS 39762, USA;1. Forest Resource Economics and Management, Faculty of Forestry, University of Toronto, 33 Willcocks Street, Toronto, Ontario M5S 3B3, Canada;2. School of Economics and Management, Beijing Forestry University, Beijing 100083, China
Abstract:In conventional social productive efficiency measurements that consider the production of undesirable outputs such as CO2, a DEA-based non-parametric method of production possibility frontier (PPF) identification coupled with the directional distance-function approach a-la Luenberger (1992) is typically employed. This paper shows that the discrepancy between parametric and non-parametric methods of PPF identification in social inefficiency measures can be non-negligibly large when the number of observations is small or the data are not well-scattered. By using the same data as Ha et al. (2011), who used non-parametric PPF identification to measure the social efficiency of Japan's inter-city transport services with lifecycle CO2 as the undesirable output, this paper demonstrates that adopting parametric PPF identification instead can result in considerably higher inefficiency measures for decision making units (DMUs) with relatively large undesirable outputs.
Keywords:Social efficiency  Data envelopment analysis  Directional distance function  R49  R59  Q53
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