Shared, Competitive, and Comparative Advantages: A Competence-Based View of Industrial-District Competitiveness

Author:

Camisón César1

Affiliation:

1. Department of Business Administration and Marketing, Universitat Jaume I, Campus Riu Sec. 12071 Castellón, Spain

Abstract

The author's aim is to construct and validate empirically a theoretical model that allows performance and competitiveness in firms located in industrial districts to be explained. From the strategic perspective adopted, economic revenues are explained by three types of advantage: shared advantages, competitive advantages, and comparative advantages. Neither integration in the district, nor its attraction due to the shared competences within it, are significant predictors of performance. Empirical results indicate that organisational performance is largely explained by the joint effect of firm distinctive competences and cluster-shared competences. It was also found that the greater the degree of a firm's embeddedness in an industrial district, the greater the effect of its distinctive competences on organisational performance. This evidence suggests that firms which are better endowed with resources and capabilities find the development of sustainable competitive advantages easier when they locate in industrial clusters, as they are more capable of capitalising on the potential for economic rents that these clusters offer. Therefore, the internal heterogeneity of the cluster stems from the different patterns of appropriation of shared competences. In addition, firm embeddedness in an industrial district is also revealed as a moderating variable in the relationship between shared competences and global performance/average return on assets, explained by the positive effects of the participation in models, values, and knowledge flows circulating within the cluster.

Publisher

SAGE Publications

Subject

Environmental Science (miscellaneous),Geography, Planning and Development

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3