Explaining Production Heterogeneity By Contextual Environments: Two-Stage DEA Application to Technical Change Measurement
One of the most important objectives in efficiency analysis is to investigate the relationships between production decisions and their contextual environments like geographical regions, production time periods, modes of production, or policies and regulations. Using the measurement of technical change as a template, the study presents a general framework to better understand varying production decisions under different time periods by showing how such production heterogeneity can be attributable to the differences in time-specifc technological frontiers at industry level and the differences in the prevalence of technical inefficiency at producer level. In DEA, a leading non/semi-parametric frontier estimation method, these differences can be analyzed through decomposing Malmquist productivity index (MPI) into technical change (TC) and technical efficiency change (TEC) respectively. The decomposition approach falls into the non-Hicks-neutral TC estimation as the mean distance measures among time-specific frontiers, which is generally less restrictive than the Hicks-neutral TC estimation as an intertemporal-shift component of the frontier specification under fixed substitution patterns across time periods. The method is more generally applicable to the comparisons between any two different contextual environments, including before and after a policy intervention, by which a sample can be partitioned. To make the existing method more empirically accessible and appealing, the study proposes a regression-based MPI decomposition that overcomes its limitations, or the need of balanced panel data and the lack of control for potentially confounding non-production factors. The proposed methodology is demonstrated with an empirical application using data from the Schedule F Tax returns of 62 dairy farmers in Maryland during 1995-2009. For conventional, confinement dairy operations, the preliminary results under preferred specifications show a 26.4%/decade expansion in technological frontier, accompanied by a 6.3%/decade decline in the mean technical efficiency levels (i.e. increases in the prevalance of technical inefficiencies). The indicators for farm ownership and off-farm income are associated with a 4.5% increase and a 5.8% decrease in technical efficiency respectively. Higher seasonal rainfalls and temperatures, except for winter rainfall and summer temperature, are associated with larger technical feasibility in a given year.
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- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Jerzmanowski, Michal, 2007. "Total factor productivity differences: Appropriate technology vs. efficiency," European Economic Review, Elsevier, vol. 51(8), pages 2080-2110, November.
- Florens, Jean-Pierre & Simar, Leopold, 2005. "Parametric approximations of nonparametric frontiers," Journal of Econometrics, Elsevier, vol. 124(1), pages 91-116, January.
- Leopold Simar & Valentin Zelenyuk, 2008.
"Stochastic FDH/DEA estimators for Frontier Analysis,"
8, Kyiv School of Economics.
- Léopold Simar & Valentin Zelenyuk, 2011. "Stochastic FDH/DEA estimators for frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(1), pages 1-20, August.
- Eric J. Bartelsman & Mark Doms, 2000.
"Understanding productivity: lessons from longitudinal microdata,"
Finance and Economics Discussion Series
2000-19, Board of Governors of the Federal Reserve System (U.S.).
- Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
- Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
- Byeong U. Park & Leopold Simar & Valentin Zelenyuk, 2008.
"Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application,"
7, Kyiv School of Economics.
- Park, Byeong U. & Simar, Léopold & Zelenyuk, Valentin, 2008. "Local likelihood estimation of truncated regression and its partial derivatives: Theory and application," Journal of Econometrics, Elsevier, vol. 146(1), pages 185-198, September.
- Park, Byeong & Simar, Leopold & Zelenyuk, Valentin, 2006. "Local likelihood estimation of truncated regression and its partial derivatives: theory and application," MPRA Paper 34686, University Library of Munich, Germany.
- Park, B. U. & Sickles, R. C. & Simar, L., 1998.
"Stochastic panel frontiers: A semiparametric approach,"
Journal of Econometrics,
Elsevier, vol. 84(2), pages 273-301, June.
- PARK,Â Beyong U. & SICKLES, Robin C. & SIMAR, LÃ©opold, . "Stochastic panel frontiers: A semiparametric approach," CORE Discussion Papers RP 1330, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- PARK, ByeongÂ U. & SICKLES, RobinÂ C. & SIMAR, LÃ©opold, 1996. "Stochastic Panel Frontiers : A Semiparametric Approach," CORE Discussion Papers 1996038, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Shawna Grosskopf, 2003. "Some Remarks on Productivity and its Decompositions," Journal of Productivity Analysis, Springer, vol. 20(3), pages 459-474, November.
- Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
- Simar, Léopold & Vanhems, Anne & Wilson, Paul W., 2012. "Statistical inference for DEA estimators of directional distances," European Journal of Operational Research, Elsevier, vol. 220(3), pages 853-864.
- Cinzia Daraio & Leopold Simar, 2005.
"Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: a Unifying Approach,"
LEM Papers Series
2005/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
- Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010.
"Optimal bandwidth selection for conditional efficiency measures: A data-driven approach,"
European Journal of Operational Research,
Elsevier, vol. 201(2), pages 633-640, March.
- Luiza Badin & Cinzia Daraio & Léopold Simar, 2008. "Optimal Bandwidth Selection for Conditional Efficiency Measures: a Data-driven Approach," LEM Papers Series 2008/22, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
- Chen, Zhuo & Song, Shunfeng, 2008.
"Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis,"
China Economic Review,
Elsevier, vol. 19(2), pages 287-296, June.
- Zhuo Chen & Shunfeng Song, 2006. "Efficiency and Technology Gap in China's Agriculture: A Regional META-Frontier Analysis," Working Papers 06-005, University of Nevada, Reno, Department of Economics;University of Nevada, Reno , Department of Resource Economics.
- Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
- Timo Kuosmanen, 2008. "Representation theorem for convex nonparametric least squares," Econometrics Journal, Royal Economic Society, vol. 11(2), pages 308-325, 07.
- Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-68, October.
- Simar, Léopold & Vanhems, Anne, 2012.
"Probabilistic characterization of directional distances and their robust versions,"
Journal of Econometrics,
Elsevier, vol. 166(2), pages 342-354.
- Simar, Léopold & Vanhems, Anne, 2010. "Probabilistic Characterization of Directional Distances and their Robust Versions," TSE Working Papers 10-195, Toulouse School of Economics (TSE).
- Kumbhakar, Subal C. & Park, Byeong U. & Simar, Leopold & Tsionas, Efthymios G., 2007. "Nonparametric stochastic frontiers: A local maximum likelihood approach," Journal of Econometrics, Elsevier, vol. 137(1), pages 1-27, March.
- Chad Syverson, 2010.
"What Determines Productivity?,"
NBER Working Papers
15712, National Bureau of Economic Research, Inc.
- Léopold Simar & Paul Wilson, 2011. "Inference by the m out of n bootstrap in nonparametric frontier models," Journal of Productivity Analysis, Springer, vol. 36(1), pages 33-53, August.
- Ku-Hsieh Chen & Hao-Yen Yang, 2011. "A cross-country comparison of productivity growth using the generalised metafrontier Malmquist productivity index: with application to banking industries in Taiwan and China," Journal of Productivity Analysis, Springer, vol. 35(3), pages 197-212, June.
- Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
- George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
- Timo Kuosmanen & Mika Kortelainen, 2012. "Stochastic non-smooth envelopment of data: semi-parametric frontier estimation subject to shape constraints," Journal of Productivity Analysis, Springer, vol. 38(1), pages 11-28, August.
- Chambers Robert G. & Fare Rolf, 1994. "Hicks' Neutrality and Trade Biased Growth: A Taxonomy," Journal of Economic Theory, Elsevier, vol. 64(2), pages 554-567, December.
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