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This study aims to explore the relationship between tourism and women’s employment in 32 South American and Caribbean countries from 1996 to 2020.

In this paper, both static (fixed effects and random effects) and dynamic panel data models (system and differenced generalized method of moments) are used. In addition to gross domestic product, trade, education and urban population are also considered in this study.

According to the findings, a boost in tourism led to an increase in women’s engagement in the economy and service sectors. This paper also explores the efficiency of alternate methods to deal with various models of women labor force (WLF) involvement in various sectors. Women’s employment opportunities in the service sector expand as a result of tourism, but in the agricultural and industrial sectors, that employment opportunity is reduced.

This study investigated the impact of tourism on WLF participation and found that it had a significant impact. This study, on the other hand, specifically contributed to the tourism sector in some specific study areas, such as tourism and agriculture, service and industry sectors. This study also displays that female participation in South America and the Caribbean countries is increasing and women are shifting away from traditional economic sectors.

This is the pioneering study to discover tourism and female participation in employment in South American and Caribbean countries. The findings of this study have important implications for future studies and policy debates examining the consequence of the tourism industry on WLF.

The purpose of the current study is to analyze the influence that is caused by ethnicity and volunteer self-employment in entrepreneurship on the initial financing and business performance of Chinese enterprises. The increasing trend of entrepreneurship has raised certain ethnic challenges in entrepreneurship owing to globalization and now there are several minority groups that are running their households in China. So, the current study aims to assess whether the minority-operated and majority-operated firms have different access to initial financing and different business performance.

The data are collected from 25 Chinese enterprises about the current variables, and the relationships are tested. This study has used the ordinary least of square (OLS) regression model to examine the findings.

The purposive sampling is used in the current study because the purpose of the present research is to understand and study the role of ethnicity and self-employment in initial financing and business performance of Chinese enterprises and so the data was collected from related enterprises. This study has used the ordinary least of square (OLS) regression model to examine the findings.

The current findings have significant implications in theory and practice. This study will be a great addition to the literature because the self-employment has never been examined before in such models to assess the role of forceful or volunteer self-employment in entrepreneurship, and so, it will open new doors of research for future researchers.