Small and Medium Enterprises

An Empirical Study of the Determinants of Self-Employment in Developing Countries

Journal of International Development, 16: 803-820

The paper is co-authored with Matteo Aqulina e Carlo Pietrobelli.

Official statistics record a tremendous diversity in the level and dynamics of the self-employment rate across countries. Such diversity is even more pronounced for developing countries than for industrial countries. In these countries, self-employment figures may represent evidence of the spark of an emerging entrepreneurial class still in its infant stages, or conceal marginal urban manufacturing employment at the mere level of subsistence and disguising actual unemployment in years of economic depression. This paper documents this diversity for developing and developed countries with new empirical evidence, and tests the determinants of this diversity with econometric techniques. Estimates are presented on a sample of 64 developing countries and 19 developed countries in a period from the 1960s through the 1990s.
The results generally confirm a negative association between the rate of self-employment and the stage of development: self-employment would tend to disappear with the development process. However, we present evidence suggesting that in some cases self-employment is also related to high value-added manufactured exports, representing a dynamic and emerging form of entrepreneurship. To this aim, self-employment would not be motivated by the desire to evade taxes, but rather an active role of the government may enhance it. The relationships with the development of the financial sector, educational levels, and other cultural factors tend to vary.

 

The internal heterogeneity in industrial districts in Italy, Brazil and Mexico

Regional Studies, 33(2): 97-108

The paper is written in collaboration with Hubert Schmitz.

Industrial districts have attracted the attention of development economists in the search for new models of industrial development. Many case studies have shown that clustering helps local enterprises to overcome growth constraints and compete in distant markets. However, empirical studies also reveal shortcomings of the industrial district model. This paper shows that, within the districts, there is enormous heterogeneity by size and performance. Even though clustering firms feed on each other, they vary a great deal in the strategies they employ and the growth they achieve. This internal heterogeneity is investigated for three cases: the shoe industries in Italy, Brazil and Mexico.

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External economies and cooperation in industrial districts: a comparison of Italy and Mexico

External economies and cooperation in industrial districts: a comparison of Italy and Mexico

This book was published by McMillan and also translated in Persian.

The success of industrial districts in Europe has attracted the interest of development economists in their search for new industrial development models. This study explores the extent to which the industrial district ‘model’ explains the realities of four footwear clusters in Italy, the ‘land’ of districts, and in Mexico, a less developed country. Empirical investigation confirms that there are gains from clustering; however, differences have also been identified in the intensity and quality of collective effects between the realities studied and the ‘model’. Those differences are attributed to disparities in the external environments, to heterogeneity of economic actors, and to the adoption of a dynamic approach to interpret cluster growth trajectories.

Enterprise clusters and networks as sources of cooperation and technology diffusion for small firms in developing countries

Enterprise clusters and networks as sources of cooperation and technology diffusion for small firms in developing countries

Published by Frank Cass

Edited with Meine Pieter van Dijk

This is a collection of articles on industrial districts in developing countries. It analyses the functions and advantages of clusters and networks for small enterprises in developing countries. In the opening chapter the editors describe different types of clusters and networks and compare the diverse forms of external economies and co-operation effects derived from them. Taking a multidiscplinary approach, they point out it is trust that is the social basis for positive effects of clustering and networking, which are often sources of co-operation and technology diffusion for small enterprises in developing countries.

Read the book here