Energy Efficiency and Mitigation of Greenhouse Gas Emissions in Mexico's Manufacturing Sector
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- Leopold Simar & Paul Wilson, 2000.
"A general methodology for bootstrapping in non-parametric frontier models,"
Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
- Simar, L. & Wilson, P.W., 1998. "A General Methodology for Bootstrapping in Nonparametric Frontier Models," Papers 9811, Catholique de Louvain - Institut de statistique.
- Zaim, Osman, 2004. "Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA framework," Ecological Economics, Elsevier, vol. 48(1), pages 37-47, January.
- Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010.
"Fractional regression models for second stage DEA efficiency analyses,"
Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
- Pedro Damião de Sousa Henriques & Esmeralda de Jesus Ratinho Lopes Arranhado Ramalho & Joaquim José dos Santos Ramalho, 2010. "Fractional regression models for second stage DEA efficiency analyses," CEFAGE-UE Working Papers 2010_01, University of Evora, CEFAGE-UE (Portugal).
- Böhmelt, Tobias & Vaziri, Farzad & Ward, Hugh, 2018. "Does green taxation drive countries towards the carbon efficiency frontier?," Journal of Public Policy, Cambridge University Press, vol. 38(4), pages 481-509, December.
- A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
- Bannister, Geoffrey J. & Stolp, Chandler, 1995. "Regional concentration and efficiency in Mexican manufacturing," European Journal of Operational Research, Elsevier, vol. 80(3), pages 672-690, February.
- Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.
- Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
- Wu, F. & Fan, L.W. & Zhou, P. & Zhou, D.Q., 2012. "Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis," Energy Policy, Elsevier, vol. 49(C), pages 164-172.
- Zhongsheng Hua & Yiwen Bian, 2007. "DEA with Undesirable Factors," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 103-121, Springer.
- Daoping Wang & Kerui Du & Ning Zhang, 2022. "Measuring technical efficiency and total factor productivity change with undesirable outputs in Stata," Stata Journal, StataCorp LLC, vol. 22(1), pages 103-124, March.
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- Badunenko, Oleg & Tauchmann, Harald, 2018. "Simar and Wilson two-stage efficiency analysis for Stata," FAU Discussion Papers in Economics 08/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
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Keywords
; ; ; ;JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EFF-2025-07-14 (Efficiency and Productivity)
- NEP-ENE-2025-07-14 (Energy Economics)
- NEP-ENV-2025-07-14 (Environmental Economics)
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