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Barriers to micro, small and medium enterprise growth in the Fiji Islands: an empirical estimation using OLS regression model

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  • Suwastika Naidu
  • Anand Chand

Abstract

The primary aim of this research is to compare the problems faced by the MSMEs in the Fiji Islands with the MSMEs in the UK. In order to achieve this aim, Cromie (1991) research framework was used to collect data from the Fiji Islands and later the research findings were compared to Cromie's (1991) study titled 'The problems experienced by young firms'. Using cross sectional data of 247 MSMEs from the Fiji Islands, this study outlines the severity of the problems faced by the MSMEs and the impact of these problems on the profitability of the MSMEs. Similar to the Cromie's (1991) study, this study configured that financial problems are the most severe problem faced by the MSMEs in both the retailing and the manufacturing sector.

Suggested Citation

  • Suwastika Naidu & Anand Chand, 2012. "Barriers to micro, small and medium enterprise growth in the Fiji Islands: an empirical estimation using OLS regression model," International Journal of Entrepreneurship and Small Business, Inderscience Enterprises Ltd, vol. 16(2), pages 147-163.
  • Handle: RePEc:ids:ijesbu:v:16:y:2012:i:2:p:147-163
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    Citations

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    Cited by:

    1. Suwastika Naidu & Anand Chand, 2014. "Exploring the relationship between freedom from corruption and business governance in the Oceania region," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3489-3509, November.
    2. Hong Xu & Jin Zhao & Xincan Yu & Xiaoxia Mei & Xinle Zhang & Chuanjie Yan, 2023. "A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    3. Suwastika Naidu & Anand Chand, 2017. "National Culture, Gender Inequality and Women’s Success in Micro, Small and Medium Enterprises," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 647-664, January.

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