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An alternative DEA measure: a case of OECD countries

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  • A. Emrouznejad

Abstract

Analysis of the production efficiency of industrialized countries, questioning whether certain countries perform better than others in producing more output with the same or less inputs, is an example of the importance of estimating production relationships. In order to estimate efficiency one needs an appropriate model for the two major inputs into production activity, namely labour and capital. A physical asset once installed is capable of contributing several years of output. This implies that investments made in previous years must be taken into account in order to produce a measure of the efficiency and productivity for any given year. The purpose of this article is to introduce a dynamic efficiency model and compare the results with previous work on the analysis of efficiency and productivity of OECD countries. The article proposes that dynamic models capture efficiency better than static models.

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  • A. Emrouznejad, 2003. "An alternative DEA measure: a case of OECD countries," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 779-782.
    • Handle: RePEc:taf:apeclt:v:10:y:2003:i:12:p:779-782
    DOI: 10.1080/1350485032000126703
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    References listed on IDEAS

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    1. 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.
    2. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    3. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455.
    4. Maudos, Joaquin & Pastor, Jose Manuel & Serrano, Lorenzo, 1999. "Total factor productivity measurement and human capital in OECD countries," Economics Letters, Elsevier, vol. 63(1), pages 39-44, April.
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    Cited by:

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    2. Raúl García-Gómez & Jorge Onrubia-Fernández & Antonio Jesus Sanchez-Fuentes, 2019. "Is public sector performance just a matter of money? The case of the Spanish regional governments," Economics and Business Letters, Oviedo University Press, vol. 8(2), pages 74-84.
    3. Yu, Ming-Miin & Nguyen, Minh-Anh Thi, 2023. "Productivity changes of Asia-Pacific airlines: A Malmquist productivity index approach for a two-stage dynamic system," Omega, Elsevier, vol. 115(C).
    4. Ahmet Serhat ULUDAĞ & Asiye Öznur ÜMİT, 2020. "An Analysis of Value-Added Production and Macroeconomic Performances of the Turkic Countries via DEMATEL and COPRAS Methods Abstract: In this study, the macroeconomic and value-added production perfor," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).
    5. Salas-Velasco, Manuel, 2018. "Production efficiency measurement and its determinants across OECD countries: The role of business sophistication and innovation," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 60-73.
    6. Konstantinos Petridis & Alexander Chatzigeorgiou & Emmanouil Stiakakis, 2016. "A spatiotemporal Data Envelopment Analysis (S-T DEA) approach: the need to assess evolving units," Annals of Operations Research, Springer, vol. 238(1), pages 475-496, March.
    7. Emrouznejad, Ali & De Witte, Kristof, 2010. "COOPER-framework: A unified process for non-parametric projects," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1573-1586, December.
    8. Moradi-Motlagh, Amir & Babacan, Alperhan, 2015. "The impact of the global financial crisis on the efficiency of Australian banks," Economic Modelling, Elsevier, vol. 46(C), pages 397-406.
    9. Konstantinos Petridis & Alexander Chatzigeorgiou & Emmanouil Stiakakis, 2016. "A spatiotemporal Data Envelopment Analysis (S-T DEA) approach: the need to assess evolving units," Annals of Operations Research, Springer, vol. 238(1), pages 475-496, March.

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