IDEAS home Printed from https://ideas.repec.org/p/hhs/cesisp/0164.html
   My bibliography  Save this paper

A Global Malmquist-Luenberger Productivity Index - an application to OECD countries 1990-2004

Author

Listed:
  • Oh, Dong-Huyn

    (CESIS - Centre of Excellence for Science and Innovation Studies, Royal Institute of Technology)

Abstract

The aim of this paper is to introduce an alternative measure that incorporates the concept of a global Malmquist productivity index with a directional distance function. Unlike a conventional geometric mean form of the Malmquist-Luenberger productivity index, this global index is circular and free from linear programming (LP) infeasibility. It can also be decomposed into certain sources of productivity growth such as efficiency change and technical change. The suggested methodology is employed in the analysis of 28 OECD countries over the period of 1990-2004. The empirical result shows that the northern European countries are found to have a higher productivity growth rate when compared with the rest of the OECD countries. Furthermore, we found that the main source of the productivity growth is technical change.

Suggested Citation

  • Oh, Dong-Huyn, 2009. "A Global Malmquist-Luenberger Productivity Index - an application to OECD countries 1990-2004," Working Paper Series in Economics and Institutions of Innovation 164, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    • Handle: RePEc:hhs:cesisp:0164
    as

    Download full text from publisher

    File URL: https://static.sys.kth.se/itm/wp/cesis/cesiswp164.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barros, Carlos Pestana, 2008. "Efficiency analysis of hydroelectric generating plants: A case study for Portugal," Energy Economics, Elsevier, vol. 30(1), pages 59-75, January.
    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. Dubrocard, Anne & Prombo, Michel, 2012. "International comparison of Environmental performance," MPRA Paper 48072, University Library of Munich, Germany, revised 05 Jul 2013.
    2. Zha, Jianping & He, Lamei & Liu, Yang & Shao, Yuhong, 2019. "Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 47-57.

    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. Lynes, Melissa & Featherstone, Allen, 2015. "Economic Efficiency of Utility Plants Under Renewable Energy Policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205674, Agricultural and Applied Economics Association.
    2. Biswaranjita Mahapatra & Chandan Bhar & Sandeep Mondal, 2020. "Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index," Energies, MDPI, vol. 13(18), pages 1-21, September.
    3. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    4. 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).
    5. Alda A. Henriques & Milton Fontes & Ana S. Camanho & Giovanna D’Inverno & Pedro Amorim & Jaime Gabriel Silva, 2022. "Performance evaluation of problematic samples: a robust nonparametric approach for wastewater treatment plants," Annals of Operations Research, Springer, vol. 315(1), pages 193-220, August.
    6. Andreas Eder & Bernhard Mahlberg & Bernhard Stürmer, 2021. "Measuring and explaining productivity growth of renewable energy producers: An empirical study of Austrian biogas plants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 37-63, February.
    7. Gharneh, Naser Shams & Nabavieh, Alireza & Gholamiangonabadi, Davoud & Alimoradi, Mohammad, 2014. "Productivity change and its determinants: Application of the Malmquist index with bootstrapping in Iranian steam power plants," Utilities Policy, Elsevier, vol. 31(C), pages 114-120.
    8. Kim, Kyung-Taek & Lee, Deok Joo & Park, Sung-Joon & Zhang, Yanshuai & Sultanov, Azamat, 2015. "Measuring the efficiency of the investment for renewable energy in Korea using data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 694-702.
    9. Jean-Philippe Boussemart & Walter Briec & Christophe Tavera, 2011. "More evidence on technological catching-up in the manufacturing sector," Applied Economics, Taylor & Francis Journals, vol. 43(18), pages 2321-2330.
    10. Du, Juan & Chen, Yao & Huang, Ying, 2018. "A Modified Malmquist-Luenberger Productivity Index: Assessing Environmental Productivity Performance in China," European Journal of Operational Research, Elsevier, vol. 269(1), pages 171-187.
    11. Bortoluzzi, Mirian & Furlan, Marcelo & dos Reis Neto, José Francisco, 2022. "Assessing the impact of hydropower projects in Brazil through data envelopment analysis and machine learning," Renewable Energy, Elsevier, vol. 200(C), pages 1316-1326.
    12. Lynes, Melissa & Brewer, Brady & Featherstone, Allen, 2016. "Greenhouse Gas Emissions Effect on Cost Efficiencies of U.S. Electric Power Plants," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235890, Agricultural and Applied Economics Association.
    13. Young Bong Chang & Vijay Gurbaxani, 2013. "An Empirical Analysis of Technical Efficiency: The Role of IT Intensity and Competition," Information Systems Research, INFORMS, vol. 24(3), pages 561-578, September.
    14. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    15. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    16. Oh, Dong-hyun & Heshmati, Almas, 2010. "A sequential Malmquist-Luenberger productivity index: Environmentally sensitive productivity growth considering the progressive nature of technology," Energy Economics, Elsevier, vol. 32(6), pages 1345-1355, November.
    17. Yu, Chin-Hsien & Zhao, Jinsong & Qin, Ping & Wang, Shinn-Shyr & Lee, Wen-Chieh, 2022. "Comparison of misallocation between the Chinese thermal power and hydropower electricity industries," Economic Modelling, Elsevier, vol. 116(C).
    18. See, Kok Fong & Coelli, Tim, 2014. "Total factor productivity analysis of a single vertically integrated electricity utility in Malaysia using a Törnqvist index method," Utilities Policy, Elsevier, vol. 28(C), pages 62-72.
    19. Wang, Bing & Nistor, Ioan & Murty, Tad & Wei, Yi-Ming, 2014. "Efficiency assessment of hydroelectric power plants in Canada: A multi criteria decision making approach," Energy Economics, Elsevier, vol. 46(C), pages 112-121.
    20. Lin, Boqiang & Xie, Yongjing, 2022. "Analysis on operational efficiency and its influencing factors of China’s nuclear power plants," Energy, Elsevier, vol. 261(PA).

    More about this item

    Keywords

    Global Malmquist-Luenberger productivity index; Directional distance function; Productivity; Circularity;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hhs:cesisp:0164. 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: Vardan Hovsepyan (email available below). General contact details of provider: https://edirc.repec.org/data/cekthse.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.