IDEAS home Printed from https://ideas.repec.org/p/uow/depec1/wp10-05.html
   My bibliography  Save this paper

Identifying and Measuring Technical Inefficiency Factors:Evidence from Unbalanced Panel Data for Thai Listed Manufacturing Enterprises

Author

Abstract

This study employs stochastic frontier analysis (SFA) and two-stage DEA approaches to predict firm technical efficiency and analyse an inefficiency effects model. Aggregate translog stochastic frontier production functions are estimated under the SFA approach using an unbalanced panel data of 178 Thai manufacturing enterprises listed in the Stock Exchange of Thailand (SET), covering the period 2000 to 2008. The maximum-likelihood Tobit model is used to conduct the second-stage of the two-stage DEA model to investigate the relationship between technical inefficiency and environmental variables. Both parametric and nonparametric approaches are found to produce consistent results. The empirical evidence from both approaches highlight that Thai listed manufacturing firms had been operating under decreasing returns to scale over the period 2000 to 2008. The SFA approach reports that technical progress decreased over time, and relied on labour input. Both estimation approaches suggest that leverage (financial constraints), executive remuneration, managerial ownership, exports, some types of listed firms (i.e., family-owned firm and foreign-owned firm), and firm size have a negative (positive) and significant effect on technical inefficiency (technical efficiency). The empirical results obtained from both approaches also suggest that liquidity, external financing, and research & development (R&D) have a significantly positive (negative) effect on technical inefficiency (technical efficiency)

Suggested Citation

  • Amornkitvikai, Yot & Harvie, Charles, 2010. "Identifying and Measuring Technical Inefficiency Factors:Evidence from Unbalanced Panel Data for Thai Listed Manufacturing Enterprises," Economics Working Papers wp10-05, School of Economics, University of Wollongong, NSW, Australia.
    • Handle: RePEc:uow:depec1:wp10-05
    as

    Download full text from publisher

    File URL: http://www.uow.edu.au/content/groups/public/@web/@commerce/@econ/documents/doc/uow090519.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dilling-Hansen, Mogens & Madsen, Erik Strojer & Smith, Valdemar, 2003. "Efficiency, R&D and ownership - some empirical evidence," International Journal of Production Economics, Elsevier, vol. 83(1), pages 85-94, 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. Teerawat Charoenrat & Charles Harvie, 2012. "Technical Efficiency of Thai Manufacturing SMEs: a Comparative Study of North-eastern Provinces," Economics Working Papers wp12-03, School of Economics, University of Wollongong, NSW, Australia.
    2. Teerawat Charoenrat & Charles Harvie, 2017. "The Performance of Thai Manufacturing SMEs: Data Envelopment Analysis (DEA) Approach," Global Business Review, International Management Institute, vol. 18(5), pages 1178-1198, October.

    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. Fındık, Derya & Tansel, Aysit, 2013. "Intangible investment and technical efficiency: The case of software-intensive manufacturing firms in Turkey," MPRA Paper 66165, University Library of Munich, Germany, revised 05 Aug 2014.
    2. Hanousek, Jan & Kočenda, Evžen & Shamshur, Anastasiya, 2015. "Corporate efficiency in Europe," Journal of Corporate Finance, Elsevier, vol. 32(C), pages 24-40.
    3. Jürgen Bitzer & Erkan Gören & Sanne Hiller, 2014. "International Knowledge Spillovers: The Benefits from Employing Immigrants," Working Paper Series in Economics 323, University of Lüneburg, Institute of Economics.
    4. Mohammad-Hossein Setayesh & Gholamreza Rezaei & Mostafa Kazemnezhad, 2016. "Corporate Governance, Investment in Research and Development and Company Performance: A Data Envelopment Analysis Approach Based on Data from a Developing Country," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1114-1122.
    5. Wu, Zai Bin & Yeung, Godfrey & Mok, Vincent & Han, Zhaozhou, 2007. "Firm-specific knowledge and technical efficiency of watch and clock manufacturing firms in China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 317-332, June.
    6. Eduardo Duque‐Grisales & Javier Aguilera‐Caracuel & Jaime Guerrero‐Villegas & Encarnación García‐Sánchez, 2020. "Does green innovation affect the financial performance of Multilatinas? The moderating role of ISO 14001 and R&D investment," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3286-3302, December.
    7. Vaclav Broz & Michal Hlavacek, 2018. "What Drives the Distributional Dynamics of Client Interest Rates on Consumer Loans in the Czech Republic? A Bank-level Analysis," Working Papers 2018/6, Czech National Bank.
    8. Rosario SÁNCHEZ-PÉREZ & M. Ángeles DÍAZ-MAYANS, 2013. "Are Large Innovative Firms More Efficient?," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 4(1), pages 89-96.
    9. Derya Findik & Aysit Tansel, 2015. "​ Intangible Investment and Technical Efficiency: The Case of Software-Intensive Manufacturing Firms in Turkey," Working Papers 2015/11, Turkish Economic Association.
    10. Rosario Sanchez & Angeles Díaz, 2014. "Innovation, exports and technical efficiency in Spain," EcoMod2014 6783, EcoMod.
    11. Jan Hanousek & Evžen Kočenda & Anastasiya Shamshur, 2014. "Efektivita evropských firem [Efficiency of European Firms]," Politická ekonomie, Prague University of Economics and Business, vol. 2014(3), pages 303-322.
    12. Jan Hanousek & Evzen Kocenda, 2016. "FDI and Ownership in Czech Firms: Pre- and Post-crisis Efficiency," KIER Working Papers 942, Kyoto University, Institute of Economic Research.

    More about this item

    Keywords

    Stochastic Frontier Analysis (SFA); Data Envelopment Analysis (DEA); Technical Efficiency; Manufacturing; Thailand;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:uow:depec1:wp10-05. 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: Peter Siminski (email available below). General contact details of provider: https://edirc.repec.org/data/deuowau.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.