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Comparison of Economic Efficiency Estimation Methods: Parametric and Non–parametric Techniques

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  • Tai–Hsin Huang
  • Mei–Hui Wang

Abstract

We employ a wide range of parametric and non–parametric cost frontiers’ efficiency estimation methods to estimate economic efficiency and economies of scale, using the same panel data of 22 Taiwanese commercial banks over the period 1982–97. According to our empirical implementation, the two methodologies yield similar average efficiency estimates, yet they come to very dissimilar results pertaining to the efficiency rankings, the stability of measured efficiency over time, the consistency between frontier efficiency and conventional performance measures, and the estimates of scale economies. Thus, the choice of an estimation approach can result in very different conclusions and policy implications regarding cost efficiencies and cost economies. These findings suggest that making policy decisions and evaluations relies on multiple techniques and specifications.

Suggested Citation

  • Tai–Hsin Huang & Mei–Hui Wang, 2002. "Comparison of Economic Efficiency Estimation Methods: Parametric and Non–parametric Techniques," Manchester School, University of Manchester, vol. 70(5), pages 682-709, September.
    • Handle: RePEc:bla:manchs:v:70:y:2002:i:5:p:682-709
    DOI: 10.1111/1467-9957.00320
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    1. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    2. Tai-Hsin Huang & Ying-Ting Liao & Li-Chih Chiang, 2010. "An examination on the cost efficiency of the banking industry under multiple output prices' uncertainty," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1169-1182.
    3. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    4. Ajetomobi, J. O. & Adedeji, I. A., 2016. "Productivity Growth of ECOWAS Common Crops: A Tale of Two Competing Frontier Methods of Analysis," Agroeconomia Croatica, Croatian Society of Agricultural Economists, vol. 6(1), pages 1-16, November.
    5. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    6. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    7. Suvash Khanal & Bharat P. Bhatta, 2017. "Evaluating Efficiency of Personnel in Nepalese Commercial Banks," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 23(4), pages 379-394, November.
    8. Ariff, Mohamed & Can, Luc, 2008. "Cost and profit efficiency of Chinese banks: A non-parametric analysis," China Economic Review, Elsevier, vol. 19(2), pages 260-273, June.
    9. Manthos Delis & Anastasia Koutsomanoli-Fillipaki & Christos Staikouras & Gerogiannaki Katerina, 2009. "Evaluating cost and profit efficiency: a comparison of parametric and nonparametric methodologies," Applied Financial Economics, Taylor & Francis Journals, vol. 19(3), pages 191-202.
    10. Francesco Aiello & Graziella Bonanno, 2016. "Efficiency in banking: a meta-regression analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 112-149, January.
    11. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    12. Wang, Mei-Hui & Huang, Tai-Hsin, 2007. "A study on the persistence of Farrell's efficiency measure under a dynamic framework," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1302-1316, August.
    13. Rishabh Goswami & Farah Hussain & Manish Kumar, 2019. "Banking Efficiency Determinants in India: A Two-stage Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(4), pages 361-380, November.
    14. Wirat Krasachat, 2023. "The Effect of Good Agricultural Practices on the Technical Efficiency of Chili Production in Thailand," Sustainability, MDPI, vol. 15(1), pages 1-25, January.
    15. Kyriacou, Andreas P. & Muinelo-Gallo, Leonel & Roca-Sagalés, Oriol, 2019. "The efficiency of transport infrastructure investment and the role of government quality: An empirical analysis," Transport Policy, Elsevier, vol. 74(C), pages 93-102.
    16. Tai‐Hsin Huang & Mei‐Hui Wang, 2003. "Estimation of Technical and Allocative Inefficiency Using Fourier Flexible Cost Frontiers for Taiwan's Banking Industry," Manchester School, University of Manchester, vol. 71(3), pages 341-362, June.
    17. Weill, Laurent, 2006. "On the consistency of aggregate production frontiers," European Journal of Operational Research, Elsevier, vol. 172(1), pages 326-333, July.
    18. Sengphachan Khounthikoumane & Jae Bong Chang & Yoonsuk Lee, 2021. "Profit Efficiency of Rice Farms in Wet-Season Lowlands in Champhone District, Savannakhet Province, Lao PDR," Agriculture, MDPI, vol. 11(7), pages 1-10, July.
    19. Nasma A. Berro, 2023. "Measuring the Cost Efficiency of Lebanese Commercial Banks using the Stochastic Frontier Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(5), pages 1-5.
    20. João Chunga & Luis Mira Silva & Fernando Brito Soares, 2023. "Poultry Value Chain Performance Measurement Using Stochastic Frontier Analysis in Mozambique, Maputo Region," Economies, MDPI, vol. 11(8), pages 1-16, August.
    21. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.

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