Influence of Innovativeness, Environmental Competitiveness and Government, Industry and Professional Networks on SME Export Likelihood

The authors thank Dr. Stanley Choi and Dr. Julio Sarmiento for their expert advice on STATA analytical tools. The authors also thank the two anonymous reviewers for their very helpful comments and suggestions.

Abstract

The purpose of this study is to examine how small to medium‐sized enterprises (SMEs) in different industry segments utilize government, industry, and professional networks and to test the influence of SME innovativeness, environmental competitiveness and network type for SME export likelihood. Previous studies on networks and exports tend to be qualitative and based on small samples. This study adds to previous scholarship by investigating a large database consisting of 2,263 Australian SMEs. Results indicate SME innovativeness contributes positively to export likelihood while contrary to extant studies, no significant relationship is observed between environmental competitiveness and export likelihood. Moreover, a significant, positive relationship exists between government networks and export likelihood, and a positive though weaker relationship between industry networks and export likelihood. On average, the likelihood of SMEs receiving export income increases by 47 percent if all three network types are accessed between one and three times a year, controlling for other factors. Further analyses of industry sub‐segments indicate a stronger relationship between industry networks and export likelihood.

The authors thank Dr. Stanley Choi and Dr. Julio Sarmiento for their expert advice on STATA analytical tools. The authors also thank the two anonymous reviewers for their very helpful comments and suggestions.

The authors thank Dr. Stanley Choi and Dr. Julio Sarmiento for their expert advice on STATA analytical tools. The authors also thank the two anonymous reviewers for their very helpful comments and suggestions.

Notes

The authors thank Dr. Stanley Choi and Dr. Julio Sarmiento for their expert advice on STATA analytical tools. The authors also thank the two anonymous reviewers for their very helpful comments and suggestions.