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GLOBAL ADVANCED RESEARCH JOURNAL OF GEOGRAPHY AND REGIONAL PLANNING (GARJGRP) ISSN: 2315-5108

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Vol. 2(1) January 2013

 

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Global Advanced Research Journal of Geography and Regional Planning (GARJGRP) ISSN: 2315-5108

January 2013 Vol. 2(1): pp. 006-018
Copyright © 2013 Global Advanced Research Journals

 

 

Full Length Research Paper

 

Economic Geography of Small and Cottage Industrial Clusters in Java Island Indonesia

 

Mudrajad Kuncoro

 

Professor in Economics, Faculty of Economics and Business, Gadjah Mada University, Yogyakarta, Indonesia

 

Email: profmudrajadk@gmail.com;  URL: http://www.mudrajad.com.

 

Accepted 14 January, 2013

 

Abstract

 

This paper showed that industrial district theory, rather than the New Economic Geography (NEG) theory, better explained the clustering of Small & Cottage Establishments (SCE) in Java. With a population of 135 millions, Java is not only the “heartland” of SCE but also the world's most populous island amongst more than 17,000 islands in Indonesia. Unlike previous narrowly focused case studies and examined only a small set of clusters, this study covered all manufacturing subsectors and regions in Java by analyzing the unprocessed data of Economic Census. It also found ten clusters dominated in almost all of Java’s industrial subsectors and represented three forms of industrial districts, namely Marshallian industrial districts, industrial complex clusters, and mature clusters. By using a discriminant analysis, the results suggest that the best predictor was average wages, followed by proportion of family workers, proportion of residing in rural regions, and productivity of labour, age of firm, foster parent proportion, number of skilled workers and population. This supports previous study’s suggestion that “the conception of the district surely goes beyond Marshallian externality and agglomeration theory”. This study found that there were SCE within the metropolitan areas that showed high spatial concentration. However, the discriminant analysis showed  that the market  size was the least  important  factors affecting SCE in clustering in the regions. Our study provides at least some justification for integrating the industrial district theory and agglomeration theory to understand the SCE clustering in Java.

 

Keywords: industrial districts, cluster, geography, SCE, LME, NEG, Java, discriminant