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Entrepreneurship policy is a vital component of any entrepreneurial ecosystem. However, the specific policy initiatives that have a greater impact on women's entrepreneurship remain unclear in many developing economies. Therefore, this study aims to evaluate the effectiveness of entrepreneurship policies targeted at women’s entrepreneurship in sub-Saharan Africa (SSA).

Employing fuzzy-set qualitative comparative analysis (fsQCA), this paper utilises and analyses secondary data collected by the World Bank's Women, Business, and the Law (WBL) from 1970 to 2020, encompassing 48 countries within SSA.

Through our analysis, we identified two configurations that sufficiently support women's entrepreneurship. First, a combination of gender-based policies focussing on enabling “access to credit” and “signing of contracts”; and second, a blend of policies supporting “signing of contracts”, “business registration”, and “opening a bank account”, represent significant antecedents to supporting women's entrepreneurship. These distinct pathways are crucial to fostering women’s entrepreneurship in the SSA region.

The study's findings indicate that the impact and effectiveness of entrepreneurship policies targeted at women entrepreneurs in developing economies depend on the effectiveness of other policies that are in place.

This study offers new insights into the intricate interrelationship between entrepreneurship policies and women’s entrepreneurship in developing countries by considering the interdependence and combinative value of gender-based policies that effectively support women’s entrepreneurship in sub-Saharan Africa.

This paper aims to investigate the difference between the impacts of indicators of trade barriers (TBs) on bankrupt enterprises (BEs), new enterprises (NEs) and other enterprises (OEs).

The paper has used a multiple-step approach. At the first stage, the initial data has been collected from interviews with 164 top managers of SMEs in West Azerbaijan in Iran during two periods of 2013–2015 and 2017–2019. At the second step, multiple correspondence analysis has been used to summarize the relationships between variables and construct indices for different groups of TBs. Finally, the generalized structural equation model method was used to examine the impact of export barriers.

The results showed that the political legal index is the main TBs for BEs and NEs, but it had a more significant impact on BEs; the financial index was the second major TBs factor for BEs, while OEs did not have a problem in performance index, and the financial index was classified as a minor obstacle for them. All indicators of marketing barriers (except production index) had a negative and significant effect on all enterprises; the most important TBs for NEs was the information index.

The results indicated that if enterprises have a strong financial system and function, they can lessen the impact of sanctions and keep themselves in the market.