IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v197y2018icp99-111.html
   My bibliography  Save this article

Efficiency, productivity gains, and the size of Brazilian supermarkets

Author

Listed:
  • Neves Bezerra de Melo, Felipe Luiz
  • Sampaio, Raquel Menezes Bezerra
  • Sampaio, Luciano Menezes Bezerra

Abstract

The supermarket sector is an important segment of the Brazilian economy. In recent years, the role of large retailers and market globalization has transformed this sector in one of the most competitive in the country. This paper aims to evaluate the technical efficiency and scale of the Brazilian supermarket sector through Bootstrap Data Envelopment Analysis, and to measure changes in productivity from 2005 to 2012, applying the Bootstrapped Malmquist index. A second stage analysis is performed to explain efficiency levels and productivity gains in terms of supermarket chains characteristics. We found that the Brazilian supermarket chains have low average efficiency levels and, in general, there was an increase in productivity in the period. The consolidations that took place in this sector can be explained in terms of scales of operation. Small supermarket chains had lower efficiency levels both in 2005 and 2012, but experienced higher levels of productivity growth in the period. Results of second stage analysis shows that some supermarket chains characteristics are correlated to productivity gains.

Suggested Citation

  • Neves Bezerra de Melo, Felipe Luiz & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2018. "Efficiency, productivity gains, and the size of Brazilian supermarkets," International Journal of Production Economics, Elsevier, vol. 197(C), pages 99-111.
    • Handle: RePEc:eee:proeco:v:197:y:2018:i:c:p:99-111
    DOI: 10.1016/j.ijpe.2017.12.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S092552731730422X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2017.12.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Simar, L. & Wilson, P.W., 1998. "Productivity Growth in Industrialized Countries," Papers 9810, Catholique de Louvain - Institut de statistique.
    3. Oleg Badunenko & Pavlo Mozharovskyi, 2016. "Nonparametric frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 550-589, September.
    4. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    5. Perrigot, Rozenn & Barros, Carlos Pestana, 2008. "Technical efficiency of French retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 296-305.
    6. Christopher J. O’Donnell, 2016. "Nonparametric Estimates of the Components of Productivity and Profitability Change in U.S. Agriculture," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 515-541, Springer.
    7. Justo de Jorge Moreno, 2010. "Productivity growth of European retailers: a benchmarking approach," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(3), pages 288-313, August.
    8. repec:bla:scandj:v:98:y:1996:i:2:p:303-13 is not listed on IDEAS
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Wheelock, David C & Wilson, Paul W, 1999. "Technical Progress, Inefficiency, and Productivity Change in U.S. Banking, 1984-1993," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(2), pages 212-234, May.
    11. 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.
    12. Yu, Wantao & Ramanathan, Ramakrishnan, 2009. "An assessment of operational efficiency of retail firms in China," Journal of Retailing and Consumer Services, Elsevier, vol. 16(2), pages 109-122.
    13. Supran Kumar Sharma & Raina Dalip, 2014. "Efficiency and productivity analysis of Indian banking industry using Hicks-Moorsteen approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 63(1), pages 57-84, January.
    14. Wilson, Paul W., 2008. "FEAR: A software package for frontier efficiency analysis with R," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 247-254, December.
    15. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    16. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    17. See, Kok Fong & Li, Fei, 2015. "Total factor productivity analysis of the UK airport industry: A Hicks-Moorsteen index method," Journal of Air Transport Management, Elsevier, vol. 43(C), pages 1-10.
    18. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
    19. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    20. 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.
    21. Arjomandi, Amir & Valadkhani, Abbas & O’Brien, Martin, 2014. "Analysing banks’ intermediation and operational performance using the Hicks–Moorsteen TFP index: The case of Iran," Research in International Business and Finance, Elsevier, vol. 30(C), pages 111-125.
    22. C. O’Donnell, 2012. "An aggregate quantity framework for measuring and decomposing productivity change," Journal of Productivity Analysis, Springer, vol. 38(3), pages 255-272, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arabmaldar, Aliasghar & Hatami-Marbini, Adel & Loske, Dominic & Hammerschmidt, Maik & Klumpp, Matthias, 2024. "Robust data envelopment analysis with variable budgeted uncertainty," European Journal of Operational Research, Elsevier, vol. 315(2), pages 626-641.
    2. Wang, Ching-Hsin & Chen, Kuen-Suan, 2020. "New process yield index of asymmetric tolerances for bootstrap method and six sigma approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 216-223.

    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. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    2. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    3. Léopold Simar & Paul W. Wilson, 2023. "Another look at productivity growth in industrialized countries," Journal of Productivity Analysis, Springer, vol. 60(3), pages 257-272, December.
    4. Léopold Simar & Paul W. Wilson, 2015. "Statistical Approaches for Non-parametric Frontier Models: A Guided Tour," International Statistical Review, International Statistical Institute, vol. 83(1), pages 77-110, April.
    5. Aggelopoulos, Eleftherios & Georgopoulos, Antonios, 2017. "Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1170-1188.
    6. Ohene-Asare, Kwaku & Turkson, Charles & Afful-Dadzie, Anthony, 2017. "Multinational operation, ownership and efficiency differences in the international oil industry," Energy Economics, Elsevier, vol. 68(C), pages 303-312.
    7. Aparicio, Juan & López-Torres, Laura & Santín, Daniel, 2018. "Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index," Economic Modelling, Elsevier, vol. 71(C), pages 34-44.
    8. Falavigna, Greta & Ippoliti, Roberto & Ramello, Giovanni B., 2018. "DEA-based Malmquist productivity indexes for understanding courts reform," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 31-43.
    9. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    10. Kim, Man-Keun & Harris, Thomas R., 2008. "An Efficiency Analysis of Nevada and Utah Counties: Region Size Leads Regional Efficiency," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6338, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Kao, Chiang & Liu, Shiang-Tai, 2014. "Measuring performance improvement of Taiwanese commercial banks under uncertainty," European Journal of Operational Research, Elsevier, vol. 235(3), pages 755-764.
    12. Massimo Finocchiaro Castro & Calogero Guccio & Ilde Rizzo, 2014. "An assessment of the waste effects of corruption on infrastructure provision," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(4), pages 813-843, August.
    13. Cuadrado-Ballesteros, Beatriz & García-Sánchez, Isabel-María & Prado-Lorenzo, José-Manuel, 2013. "Effect of modes of public services delivery on the efficiency of local governments: A two-stage approach," Utilities Policy, Elsevier, vol. 26(C), pages 23-35.
    14. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2015. "Performance of microfinance institutions in achieving the poverty outreach and financial sustainability: When age and size matter?," MPRA Paper 69821, University Library of Munich, Germany.
    15. George E. Halkos & Nickolaos G. Tzeremes, 2015. "Measuring Seaports' Productivity: A Malmquist Productivity Index Decomposition Approach," Journal of Transport Economics and Policy, University of Bath, vol. 49(2), pages 355-376, April.
    16. Isabel-María García-Sánchez & Luis Rodríguez-Domínguez & Javier Parra-Domínguez, 2013. "Yearly evolution of police efficiency in Spain and explanatory factors," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(1), pages 31-62, January.
    17. José M. Cordero & Agustín García-García & Enrique Lau-Cortés & Cristina Polo, 2021. "Efficiency and Productivity Change of Public Hospitals in Panama: Do Management Schemes Matter?," IJERPH, MDPI, vol. 18(16), pages 1-21, August.
    18. Fernández, Ana Isabel & Gascón, Fernando & González , Eduardo, 2001. "Economic Efficiency and Value Maximization in Banking Firms," Efficiency Series Papers 2001/11, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    19. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    20. Cristian Barra & Roberto Zotti, 2016. "Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(1), pages 11-33, February.

    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:eee:proeco:v:197:y:2018:i:c:p:99-111. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.