By: |
Tidiane KINDA (Fonds Monétaire International);
Patrick PLANE (Centre d'Etudes et de Recherches sur le Développement International);
Mohamed CHAFFAI (Université Sfax) |
Abstract: |
Production frontiers and inefficiency determinants are estimated by using
stochastic models. Textile manufacturing is considered for a sample of eight
developing countries encompassing about one thousand firms. We find that the
most influential individual inefficiency determinants relate to in-house
organization. Both access to financing and infrastructural services (e.g.
power supply, modern information technologies…) also matter. Information about
determinants is then regrouped into three broad categories (e.g. managerial
organization, economic environment, institutions) by using principal component
analyses. Results do not reject the hypothesis that managerial know-how and
the quality of institutions are the most important determinants. The impact of
the external economic environment is of less importance although statistically
significant. Sector-based simulations are then proposed in order to assess
productivity gains which would occur if firms had the opportunity to evolve in
most favorable environments within the sample. Domestic and international
production contexts are considered, respectively. When referring to domestic
benchmarks, the contribution of in-house organization prevails as the main
source of gains for the eight countries. The role of institutions proves
dominant for Egypt and India when focusing on international simulations. |
Keywords: |
Technical efficiency, external economic environment, firms, institutions, one step stochastic frontier method, organizational know-how, productivity, textile |
Date: |
2009 |
URL: |
http://d.repec.org/n?u=RePEc:cdi:wpaper:1100&r=ara |