Technical efficiency and economies of scale of sugar mills in Mexico
DOI:
https://doi.org/10.29312/remexca.v14i5.2999Keywords:
diseconomies of scale, input orientation, returns to scale, sugarcane agroindustryAbstract
During the last decade the sugarcane agroindustry has shown great dynamism by constantly increasing the production of standard sugar and guaranteeing the self-sufficiency of this sweetener in the country, even generating surpluses for export. Nevertheless, even in official documents, it is pointed out that this agroindustry presents a marked technological backwardness and inefficiency. The study was conducted in 2021. This work has two objectives: to estimate the overall technical efficiency by mill and break it down into pure efficiency and scale efficiency, as well as to determine the type of returns to scale of each sugar mill. The method used was the data envelopment analysis and elasticity of scale. The study period was the 2009-2010 harvest, and 54 mills were considered, for which disaggregated information was available. The main finding showed that only 21 mills (38.9%) had an optimal performance as they operated with constant returns to scale. Another 28 mills (51.9%) operated with increasing returns to scale and only five mills (9.3%) operated with decreasing returns to scale. These findings were confirmed by the magnitudes of the elasticity of scale of each group of mills. The main conclusion is that more than ten years ago there was room for mills that operated with increasing returns to scale to be restructured in size and management of inputs over which they have control, which would have allowed improving their overall performance by obtaining economies of scale and improve their pure efficiency and therefore, for the sugarcane agribusiness as a whole.
Downloads
References
Aigner, D.; Lovell, K. and Schmidt, P. 1977. Formulation and estimation of stochastic frontier production function models. J. Econ. 6(1):21-37.
Banker, R. D.; Charnes, A. and Cooper, W. W. 1984. Some models for the estimation of technical and scale inefficiencies in data envelopment analysis. Manage. Sci. 30(9):1078-1092.
Bogetoft, P. 2020. Benchmarking with DEA and SFA. R package version 0.29. https://cran.r-project.org/web/packages/Benchmarking/index.html.
Bröchner, J. 2017. Measuring the productivity of facilities management. J. Facil. Manag. 15(3):1-35.
CEMA. 2017. Compañía editora del manual azucarero mexicano. Manual azucarero mexicano. Ed. SA de CV. Ciudad de México. 487 p.
Charnes, A.; Cooper W. W.; Lewin, A. Y. and Seiford, L. M. 1994. Data envelopment analysis. Theory, methodology, and application. Springer. New York, NY. 507 p.
Charnes, A.; Cooper, W. W. and Rhodes, E. L. 1978. Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6):429-444.
CONADESUCA. 2017. Comité Nacional para el Desarrollo Sustentable de la Caña de Azúcar. 6to informe estadístico del sector agroindustrial de la caña de azúcar en México. Ciudad de México.
CONADESUCA. 2020b. Comité Nacional para el Desarrollo sustentable de la Caña de Azúcar (2020). 7mo informe estadístico del sector agroindustrial de la caña de azúcar en México. Ciudad de México, México.
Escobedo, C, O. A.; Valdivia, A. R.; Sandoval, R. F.; Hernández, O. J. y Gutiérrez, G. F. G. 2019. Análisis de la eficiencia técnica de la agroindustria de la caña de azúcar en México con el análisis envolvente de datos. Rev. Mex. Econ. Agríc. Rec. Natur. 12(1):77-91.
Farrell, M. J. 1957. The Measurement of productive efficiency. J. R Stat. Soc. 120(3):253-290.
FIRA. 2016. Fideicomisos Instituidos en Relación a la Agricultura. Panorama agroalimentario. Azúcar. Morelia, Michoacán, México.
Førsund, F. R. and Hjalmarsson, L. 2004. Calculating scale elasticity in DEA models. J. Oper. Res. Soc. 55(10):1023-1038.
Førsund, F. R.; Hjalmarsson, L.; Krivonozhko, V. E. and Utkin, O. B. 2007. Calculation of scale elasticities in DEA models: direct and indirect approaches. J. Prod. Anal. 28(1):45-56.
Hackman, S. T. 2008. Production economics. Integrating the microeconomic and engineering perspectives. Springer. Berlin, Germany. 522 p.
Meeusen, W. and Van-Broeck, J. 1977. Efficiency estimations from Cobb-Douglas production functions with composed error. Inter. Econ. Review. 18(2): 435-44.
Mulwa, M. R.; Emrouznejad, A. and Murithi, F. M. 2009. Impact of liberation on efficiency and productivity of sugar industry in Kenya. J. Econ. Studies. 36(3):250-264.
Padilla, F. M. D. and Nuthall, P. L. 2009. Technical efficiency in the production of sugar cane in central negros area, philippines: an application of data envelopment analysis. J. Int. Soc. Southeast Asian Agric. Sci. 15(1):77-90.
Rasmussen, S. 2011. Production economics. The basic theory of production optimization. Springer, New York, NY. 287 p.
Rein, P. 2007. Cane sugar engineering. Verlag Dr. Albert Bartens. Berlin, Germany. 746 p.
Setyaningrum, W F.; Ekowati, T. and Kristanto, A. 2020. The efficiency of sugarcane (Saccharum officinarum) farms using the dea (data envelopment analysis) approach in purworejo regency. Agrisocionomics. 4(2):330-335.
Santiago, Z. I. M.; Martínez, D. M. A.; Cuevas, A. C. M.; Valdivia, A. R.; García, H. M. I. y Hernández, T. J. 2021. Productividad y cambio tecnológico en la agroindustria de la caña de azúcar en México. Rev. Mex. Cienc. Agríc. 12(6):1005-1017. Doi: https://doi.org/10.29312/remexca.v12i6.2692.
SIAP. 2020. Servicio de Información Agroalimentaria y Pesquera. Anuario estadístico de la producción agrícola. https://nube.siap.gob.mx/cierreagricola/.
Valdivia, A. R.; Cuevas, A. C. M.; Vázquez, M. J. S.; García, H. M. I.; Santiago, Z. I. M. y Garay, J. A. S. 2022. Análisis de la eficiencia y retornos de escala de los ingenios azucareros de México. Rev. Mex. Cienc. Agríc. 13(1):141-153. Doi: https://doi.org/10.29312/remexca.v13i1.2639.
Zhu, J. 2003. Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets and DEA Excel solver. Kluwer Academic Publisher. Boston, USA. 312 p.
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Revista Mexicana de Ciencias Agrícolas
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors who publish in Revista Mexicana de Ciencias Agrícolas accept the following conditions:
In accordance with copyright laws, Revista Mexicana de Ciencias Agrícolas recognizes and respects the authors’ moral right and ownership of property rights which will be transferred to the journal for dissemination in open access. Invariably, all the authors have to sign a letter of transfer of property rights and of originality of the article to Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP) [National Institute of Forestry, Agricultural and Livestock Research]. The author(s) must pay a fee for the reception of articles before proceeding to editorial review.
All the texts published by Revista Mexicana de Ciencias Agrícolas —with no exception— are distributed under a Creative Commons License Attribution-NonCommercial 4.0 International (CC BY-NC 4.0), which allows third parties to use the publication as long as the work’s authorship and its first publication in this journal are mentioned.
The author(s) can enter into independent and additional contractual agreements for the nonexclusive distribution of the version of the article published in Revista Mexicana de Ciencias Agrícolas (for example include it into an institutional repository or publish it in a book) as long as it is clearly and explicitly indicated that the work was published for the first time in Revista Mexicana de Ciencias Agrícolas.
For all the above, the authors shall send the Letter-transfer of Property Rights for the first publication duly filled in and signed by the author(s). This form must be sent as a PDF file to: revista_atm@yahoo.com.mx; cienciasagricola@inifap.gob.mx; remexca2017@gmail.
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 International license.