Derivation of marginal effects of determinants of technical inefficiency
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DOI: 10.1016/j.econlet.2013.04.041
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Cited by:
- Narangerel Ganbold & Shah Fahad & Hua Li & Tumendemberel Gungaa, 2022. "An evaluation of subsidy policy impacts, transient and persistent technical efficiency: A case of Mongolia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9223-9242, July.
- Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
- Baležentis, Tomas & Sun, Kai, 2020. "Measurement of technical inefficiency and total factor productivity growth: A semiparametric stochastic input distance frontier approach and the case of Lithuanian dairy farms," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1174-1188.
- Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
- Kumbhakar, Subal C. & Peresetsky, Anatoly & Shchetynin, Yevgenii & Zaytsev, Alexey, 2020. "Technical efficiency and inefficiency: Reassurance of standard SFA models and a misspecification problem," MPRA Paper 102797, University Library of Munich, Germany.
- Subal C. Kumbhakar & Kai Sun & Rui Zhang, 2016. "Semiparametric Smooth Coefficient Estimation of a Production System," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 464-482, October.
- Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
- N'cho, Simon Akahoua & Mourits, Monique & Demont, Matty & Adegbola, Patrice Y. & Lansink, Alfons Oude, 2017. "Impact of infestation by parasitic weeds on rice farmers’ productivity and technical efficiency in sub-Saharan Africa," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 12(1), March.
- Caetano Luiz Beber & Sebastian Lakner & Ioannis Skevas, 2021. "Organizational forms and technical efficiency of the dairy processing industry in Southern Brazil," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 9(1), pages 1-22, December.
- Jagoda Zmyślona & Arkadiusz Sadowski & Krzysztof Piotr Pawłowski, 2024. "How Can Overinvestment in Farms Affect Their Technical Efficiency? A Case Study from Poland," Agriculture, MDPI, vol. 14(10), pages 1-16, October.
- Germeshausen, Robert & Panke, Timo & Wetzel, Heike, 2014.
"Investigating the influence of firm characteristics on the ability to exercise market power: A stochastic frontier analysis approach with an application to the iron ore market,"
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14-105, ZEW - Leibniz Centre for European Economic Research.
- Germeshausen, Robert & Panke, Timo & Wetzel, Heike, 2014. "Investigating the Influence of Firm Characteristics on the Ability to Exercise Market Power - A Stochastic Frontier Analysis Approach with an Application to the Iron Ore Market," EWI Working Papers 2014-17, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
- Anbes Tenaye, 2020. "Technical Efficiency of Smallholder Agriculture in Developing Countries: The Case of Ethiopia," Economies, MDPI, vol. 8(2), pages 1-27, April.
- Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2015.
"A post-truncation parameterization of truncated normal technical inefficiency,"
Journal of Productivity Analysis, Springer, vol. 44(2), pages 209-220, October.
- Christine Amsler & Peter Schmidt & Wen-Jen Tsay, 2013. "A Post-Truncation Parameterization of Truncated Normal Technical Inefficiency," IEAS Working Paper : academic research 13-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
- Robert Germeshausen & Timo Panke & Heike Wetzel, 2020. "Firm characteristics and the ability to exercise market power: empirical evidence from the iron ore market," Empirical Economics, Springer, vol. 58(5), pages 2223-2247, May.
- Badunenko, Oleg & Cordero, Jose M. & Kumbhakar, Subal C., 2021. "Are you slacking? Where do you and your country stand in the happiness pursuit?," MPRA Paper 108316, University Library of Munich, Germany.
- Ivanović, Vladan & Uberti, Luca J. & Imami, Drini, 2023. "Opportunistic privatization," European Journal of Political Economy, Elsevier, vol. 80(C).
- Adugna Lemi & Ian Wright, 2020. "Exports, foreign ownership, and firm-level efficiency in Ethiopia and Kenya: an application of the stochastic frontier model," Empirical Economics, Springer, vol. 58(2), pages 669-698, February.
- Neupane, Diwash & Moss, Charles, 2015. "Technical Inefficiency and Its Determinants in US Wheat Production," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196981, Southern Agricultural Economics Association.
- Anneboina, Lavanya Ravikanth & Kavi Kumar, K.S., 2017. "Economic analysis of mangrove and marine fishery linkages in India," Ecosystem Services, Elsevier, vol. 24(C), pages 114-123.
- Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 32(4), pages 71-92.
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More about this item
Keywords
Stochastic frontier model; Inefficiency; Environmental variable;All these keywords.
JEL classification:
- C16 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Econometric and Statistical Methods; Specific Distributions
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
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