Technical efficiency measurement within the manufacturing sector in Cote d'Ivoire: A stochastic frontier approach

Karine Chapelle and Patrick Plane ()

Journal of Development Studies, 2005, vol. 41, issue 7, 1303-1324

Abstract: This article analyses the productive performance in four manufacturing sectors of the Ivorian economy: textiles and garments, metal products, food processing, wood and furniture. To appraise the productive performance, econometric production frontier models are estimated, illustrating the maximum output attainable from a given quantity of inputs. The frontier and firm efficiency scores are derived from stochastic production functions estimated on cross-sectional data. The stochastic specification of the models allows for the decomposition of the error term into two components, one the normal random effect and the other to account for technical inefficiency that we explain by various exogenous variables describing the economic and institutional environment. Firm size proves to be a statistically significant determinant of the productive performance. Across the four sectors, the positive impact of being large compensates the negative effect of a formal institutional status in an environment where government regulations still prevail.

Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00220380500170964 (text/html)
Access to full text is restricted to subscribers.

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:taf:jdevst:v:41:y:2005:i:7:p:1303-1324

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FJDS20

DOI: 10.1080/00220380500170964

Access Statistics for this article

Journal of Development Studies is currently edited by Howard White, Oliver Morrissey and Ken Shadlen

More articles in Journal of Development Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().