IDEAS home Printed from https://ideas.repec.org/a/nax/conyad/v63y2018i2p142-167.html
   My bibliography  Save this article

International efficiency of biodiesel: An analysis for the case of Costa Rica, Spain, the United States and Mexico

Author

Listed:
  • Yéssica Yasmín Santos Equihua

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

  • Irma Cristina Espitia Moreno

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

  • Rodrigo Gómez Monge

    (Universidad Michoacana de San Nicolás de Hidalgo, México)

Abstract

At the international level, there are factors that have led to searches for alternative energy sources, biofuels are among these alternatives. In this context, this research objetive is to determine the level of relative technical efficiency of companies producing vegetable oil and animal fat based biodiesel fuels (BAVyGA) in Mexico, in relation to Costa Rica, Spain and the United States and incorporating inputs, also making also use of the model DEA model as a tool for quantitative economic analysis quantitative. The evaluation was applied to the operations of 30 companies during the year 2014 and can guide de¬cision-making in operational areas of Mexican companies to achieve higher efficiency levels. The main finds, which comply with each of the objectives are the following. There is a wide variability in the size and operability of the companies; in addition the American companies are in general those regarded as a benchmarks, due to their higher level of efficiency; and finally, some companies, mainly Mexican and Costa Rican maintained surpluses in production capacity and the number of employees, that can be used in a best way considering the operation´s from of the North American and Spanish companies.

Suggested Citation

  • Yéssica Yasmín Santos Equihua & Irma Cristina Espitia Moreno & Rodrigo Gómez Monge, 2018. "International efficiency of biodiesel: An analysis for the case of Costa Rica, Spain, the United States and Mexico," Contaduría y Administración, Accounting and Management, vol. 63(2), pages 142-167, Abril-Jun.
    • Handle: RePEc:nax:conyad:v:63:y:2018:i:2:p:142-167
    as

    Download full text from publisher

    File URL: http://www.cya.unam.mx/index.php/cya/article/view/1068/1283
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thomas W. Hertel & Jayson Beckman, 2011. "Commodity Price Volatility in the Biofuel Era: An Examination of the Linkage between Energy and Agricultural Markets," NBER Chapters, in: The Intended and Unintended Effects of US Agricultural and Biotechnology Policies, pages 189-221, National Bureau of Economic Research, Inc.
    2. Pedro Herrera Catalan & Pedro Francke Ballve, 2009. "Analisis de la eficiencia del gasto municipal y de sus determinantes," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, issue 63, pages 113-178.
    3. Coyle, William T., 2007. "The Future of Biofuels: A Global Perspective," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, pages 1-6, November.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Furtado, André, 2009. "Biocombustibles y comercio internacional: una perspectiva latinoamericana," Documentos de Proyectos 3653, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Schuschny, Andrés Ricardo, 2007. "El método DEA y su aplicación al estudio del sector energético y las emisiones de CO2 en América Latina y el Caribe," Estudios Estadísticos 4752, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yéssica Yasmín Santos Equihua & Irma Cristina Espitia Moreno & Rodrigo Gómez Monge, 2018. "Eficiencia internacional del biodiesel: un análisis para el caso de Costa Rica, España, Estados Unidos y México," Contaduría y Administración, Accounting and Management, vol. 63(2), pages 116-141, Abril-Jun.
    2. Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
    3. Simpson, N.C. & Tacheva, Zhasmina & Kao, Ta-Wei, 2023. "Semi-directedness: New network concepts for supply chain research," International Journal of Production Economics, Elsevier, vol. 256(C).
    4. Wen-Min Lu & Qian Long Kweh & Chung-Wei Wang, 2021. "Integration and application of rough sets and data envelopment analysis for assessments of the investment trusts industry," Annals of Operations Research, Springer, vol. 296(1), pages 163-194, January.
    5. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    6. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    7. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    8. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    9. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    10. Rosiak, Ewa & Łopaciuk, Wiesław & Szajner, Piotr & Grochowska, Renata, 2014. "Global production of biofuels in the context of food security," Multiannual Program Reports 206005, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    11. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    12. Gilligan, Daniel O., 1998. "Farm Size, Productivity, And Economic Efficiency: Accounting For Differences In Efficiency Of Farms By Size In Honduras," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20918, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    14. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    15. Juan Aparicio & Jesus T. Pastor & Jose L. Sainz-Pardo & Fernando Vidal, 2020. "Estimating and decomposing overall inefficiency by determining the least distance to the strongly efficient frontier in data envelopment analysis," Operational Research, Springer, vol. 20(2), pages 747-770, June.
    16. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    17. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    18. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
    19. Watkins, K. Bradley & Hristovska, Tatjana & Mazzanti, Ralph & Wilson, Charles E. Jr & Schmidt, Lance, 2014. "Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(1), pages 1-18, February.
    20. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.

    More about this item

    Keywords

    Biodiesel; Efficiency; Energetic Sector; Sustainability.;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nax:conyad:v:63:y:2018:i:2:p:142-167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alberto García-Narvaez (Technical Editor) (email available below). General contact details of provider: https://edirc.repec.org/data/fcunamx.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.