Abstract
An unbalanced panel is used to estimate technical and managerial efficiency levels of manufacturing firms in Côte d’Ivoire. A stochastic frontier production model with non-neutral effects on technical efficiency of the business environment variables is specified. This specification allows to evaluate and to compare technical efficiencies and efficiency levels net of business environment influences. In order to determine net efficiency levels in the non-neutral case, a practical method based on the definition of an artificial environment is proposed. Results suggest that informal firms are less technically efficient than formal firms whereas their managerial performances are closed to those of formal firms.
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References
DJ Aigner CA Knox Lovell P Schmidt (1977) ArticleTitleFormulation and estimation of stochastic frontier production function model J Economet 6 21–37 Occurrence Handle10.1016/0304-4076(77)90052-5
J-P Azam C Morrisson (1994) The political feasibility of adjustment in Côte d’Ivoire and in Morocco Development Centre Studies OECD, Paris
GE Battese SS Broca (1997) ArticleTitleFunctional forms of stochastic frontier production function and models for technical inefficiency effects: a comparative study for wheat farmers in Pakistan J Product Anal 8 395–414 Occurrence Handle10.1023/A:1007736025686
GE Battese T Coelli (1995) ArticleTitleA model for technical inefficiency effects in a stochastic frontier production function and panel data Empirical Econ 20 325–332 Occurrence Handle10.1007/BF01205442
GE Battese T Coelli (1988) ArticleTitlePrediction of firm-level technical efficiencies with a generalized frontier production function and panel data J Economet 38 387–399 Occurrence Handle10.1016/0304-4076(88)90053-X
GE Battese K Lundvall (2000) ArticleTitleFirm size, age and efficiency: evidence from Kenyan manufacturing firms J Develop Studies 36 146–163
Bigsten A, Kimuyu P, Lundvall K (1999) Are informal enterprises really different? Evidence from small manufacturers in Kenya. Institute of Policy Analysis and Research (Kenya) Discussion Paper no. DP/020/99.
T Coelli S Perelman E Romano (2000) ArticleTitleAccounting for environmental influences in stochastic frontier models: with application to international airlines J Product Anal 11 251–273 Occurrence Handle10.1023/A:1007794121363
M Goedhuys L Sleuwaegen (2003) ArticleTitleTechnical efficiency, market share and profitability of manufacturing firms in Côte d’Ivoire: the technology trap Cambridge J Econ 27 851–866 Occurrence Handle10.1093/cje/27.6.851
CJ Huang J-T Liu (1994) ArticleTitleEstimation of non-neutral stochastic frontier production function J Product Anal 5 171–180 Occurrence Handle10.1007/BF01073853
Kumbhakar S, Knox Lovell CA (2000) Stochastic frontier analysis. Cambridge University Press.
Marchat J-M (1997) The impact of tax regulations on firm entry in Côte d’Ivoire. RPED Discussion paper, No. 79. World Bank, Regional Program for Enterprise Development, Washington, DC.
W Meeusen J Broeck ParticleVan Den (1977) ArticleTitleEfficiency estimation from Cobb–Douglas production function with composed error Int Econ Rev 18 435–444 Occurrence Handle10.2307/2525757
V Ramachandran MK Shah (1999) ArticleTitleMinority entrepreneurs and firm performance in Sub-Saharan Africa J Develop Studies 36 71–87
Söderbom M, Teal F (2001) Are African manufacturing firms really inefficient? Evidence from firm-level panel data. The Centre for the Study of African Economies Working Paper Series. Working Paper 152.
J Tybout (2000) ArticleTitleManufacturing firms in developing countries: how well do they do, and why? J Econ Literature 38 11–44
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Roudaut, N. Influences of the Business Environment on Manufacturing Firms Technical Efficiencies: The Côte d’Ivoire Case. J Prod Anal 25, 93–109 (2006). https://doi.org/10.1007/s11123-006-7133-y
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DOI: https://doi.org/10.1007/s11123-006-7133-y