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

Yot Amornkitvikai and Charles Harvie ()
Additional contact information
Yot Amornkitvikai: University of Wollongong, http://www.uow.edu.au/index.html
Charles Harvie: University of Wollongong, http://business.uow.edu.au/econ/who/UOW010519.html

Economics Working Papers from School of Economics, University of Wollongong, NSW, Australia

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)

Keywords: Stochastic Frontier Analysis (SFA); Data Envelopment Analysis (DEA); Technical Efficiency; Manufacturing; Thailand (search for similar items in EconPapers)
JEL-codes: C14 C23 D22 D24 (search for similar items in EconPapers)
Pages: 36 pages
Date: 2010
New Economics Papers: this item is included in nep-eff and nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.uow.edu.au/content/groups/public/@web/@ ... ts/doc/uow090519.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uow:depec1:wp10-05

Access Statistics for this paper

More papers in Economics Working Papers from School of Economics, University of Wollongong, NSW, Australia School of Economics, University of Wollongong, Northfields Avenue, Wollongong NSW 2522 Australia. Contact information at EDIRC.
Bibliographic data for series maintained by Peter Siminski ( this e-mail address is bad, please contact ).