Project

Entrepreneurship, Clusters and Regional Development

Updates
0 new
0
Recommendations
0 new
0
Followers
0 new
4
Reads
0 new
36

Project log

Héctor O. Rocha
added 2 research items
Cluster policies pervade all the regions of the world to promote employment growth, innovation and entrepreneurship. Yet research mostly focuses on cluster economic performance but less on regional social cohesion, which is important when economic growth coexists with deprivation, poverty and inequality. This paper aims to understand both the economic and social dynamics of clusters by developing a theoretical model based on system dynamics. It shows that clusters with positive economic performance do not necessary lead to regional social cohesion. Multiple positive economic-related feedback processes can be mitigated by negative social-related feedback processes. Implications for academics and policymakers are proposed.
Héctor O. Rocha
added 15 research items
Entrepreneurship and Regional Development aims to make a theoretical and practical contribution meeting the need for studies on the impact of clusters on entrepreneurship and societal outcomes. This book aims to answer the following research question: Do clusters matter to entrepreneurship and entrepreneurship outcomes at the societal level?
The aim of this book is to investigate the impact of clusters on both entrepreneurship and the contribution of entrepreneurship to development at the regional level.
This chapter presents the empirical results from testing the hypotheses formulated in Chapter 3 using the data, operational definitions, and research methods described in Chapter 4. Section 5.1 shows the descriptive statistics and correlation among variables. The results are presented first for the cluster entrepreneurship model (Section 5.2) and then for the cluster-entrepreneurship-regional development model (Section 5.3). These two sections also present the results of both testing the assumptions of all of the statistical techniques, and running three different types of sensitivity analysis to test the robustness of the results. Appendices G and H include the details of these two statistical analyses.