We analyze the risk attitude of women and men entrepreneurs in the micro and small enterprises (MSEs) and investigate the factors that influence the risk attitude of MSE owners. The empirical ...analysis of the study consists of two parts. First, we use a moment-based approach to estimate the risk preferences of male and female entrepreneurs. Second, we estimate a regression model to understand the correlates of risk attitude and decompose the gender difference in risk aversion using the Oaxaca-Blinder technique. The results indicate that MSE entrepreneurs are risk-averse, with a relative risk premium of 1.5%. We also find that females are slightly more risk-averse than male entrepreneurs. Our regression estimates show that entrepreneurs’ risk attitude is significantly correlated with the age and experience of the entrepreneur, marital status, education level and financial literacy, wealth, sector, and business form. Furthermore, the predictor variables significantly explain the gender difference in risk aversion, while the unexplained component is insignificant. This suggests that the gender difference in risk aversion is due to disparities in socioeconomic factors than a biological difference in risk preference.
•A survey of 2222 micro and small enterprises in Indonesia.•Determinants of the use of technological-based innovation.•Some business factors as well as firm and owner characteristics matter.•The ...adoption is different during the Covid-19.
A substantial proportion of Indonesian households in Indonesia depend on micro and small enterprises for their income. Mobile phone and internet penetration is expected to substantially drive micro and small enterprises to use technological-based innovation which eventually will improve the productivity and efficiency of those firms. In this paper, using a survey of 2,222 micro and small enterprises in Indonesia, we estimate an empirical model on the determinants of the use of technological-based innovation including digital finance technologies and online sales for micro and small enterprises. By doing so, we are able to improve understanding of the barriers to micro and small business use of digital technologies in Indonesia. Our results reveal that some business factors as well as firm and owner characteristics play significant role in explaining the barriers of adopting digital innovation. We also find that firms with higher income and selling during Covid-19 pandemic mostly adopt digital technologies in their business activity.
In this study the authors tried to identify mediating role of innovation and moderating role of size of enterprise in the relationship Making a living with lawful earnings is possible by working for ...others, becoming self-employed or employing others. This paper aims at providing insights into the role of structural support and the use of E-learning such as business simulations games in developing entrepreneurial intentions of university students. The underlying theories of experiential learning, constructivist learning theory and bloom’s taxonomy are discussed in relation with the objectives of this study. The response of 252 university students from Malaysia was collected through self-administrative survey using simple random sampling technique. The results of PLS-SEM demonstrate a significant positive impact of E-learning resources and perceived structural support from Government in developing entrepreneurial inclinations of students at Universiti Utara Malaysia (UUM). The present study provides an overview and highlight the role assumed by the institutions of higher education through adoption of E-learning resources in order to nurture entrepreneurship among young generation. Additionally, keeping in view the role of higher education in socio-economic development, recommendations have also been proposed for universities and policy makings institutions to cope with the current challenges of higher education. The findings of this study have important implications of enhancing entrepreneurial capacity in Malaysia.
•The study found that the loan to sales revenue and employee wages gradually rose to a stable period, and eventually declined.•A new nonparametric density method is proposed to balance economic ...effect and social responsibility: the loan scale and sales volume remain unchanged, increase employee income, and vice versa.
Regarding the financial support provided to micro and small enterprises (MSEs), deciding whether to prioritize economic benefit or social responsibility is a crucial policy choice, especially in developing countries. This paper establishes a new research framework for density of enterprise output value and wages conditional on loans to balance economic benefit (sales revenue) and social responsibility (employee payroll). Using data on 9125 Chinese enterprises from January 2015 to December 2017, this paper shows that loans have a range effect on sales revenue and employee payroll, which ascends gradually to a plateau and eventually descends. Based on this finding, this paper proposes a reallocation scheme. With total loans unchanged, fixed sales revenue can increase employee payroll by 3.8%. Similarly, fixed employee payroll can increase sales revenue by 5.2%. This study not only provides empirical evidence for financially supporting MSEs, but also provides alternative decision support for policy design.
This study investigates the factors affecting digital adoption by ultra-micro, micro, and small enterprises (UMSEs) based on a survey of 5035 UMSEs in 17 major provinces in Indonesia. We use the ...survey data to construct a digital adoption index to evaluate the variations in digital adoption in the five business processes of e-procurement, POS, e-marketing, e-commerce, and digital payment. This index not only identifies whether a firm has adopted digital technology but also considers the dimensions of use to measure the level of adoption more precisely. Using the primary data, we employ a simple regression model, and the results demonstrate that owner demographic characteristics, firm-specific factors, business environment, connectivity infrastructure quality, and culture are associated with disparities in digital adoption by UMSEs. Our findings also reveal a positive and significant correlation between digital adoption on business performance. Based on a two-stage least squares (2SLS) model, we found strong evidence of the impact of digital adoption on UMSE owners’ level of financial literacy. The latter result suggests that improving digital adoption among UMSEs could enhance their financial literacy. Overall, these findings confirm the vital role of digital transformation for UMSEs to achieve growth and competitiveness in the global market, which requires robust support from policymakers.
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•A survey of 5035 ultra-micro, micro, and small enterprises in 17 major provinces in Indonesia.•A comprehensive index to measure level of digital adoption by ultra-micro, micro, small, and medium-sized enterprises.•Assessing the determinants of digital business adoption by ultra-micro, micro, small, and medium-sized enterprises.•Investigating the impact of digital adoption on business performance and financial literacy.
The study aims to analyze the poverty and micro and small enterprises in 34 provinces in Indonesia, and to analyze the effect of labor and the number of micro and small enterprises on poverty levels ...in Indonesia. The results indicate that Papua Province has the highest poverty rate and the DKI Jakarta Province has the lowest poverty rate. Central Java Province has the largest number of micro-enterprises, and West Papua Province has the lowest number of micro-enterprises. For small enterprises, Central Java Province has the highest number and West Papua Province has the lowest number. Meanwhile, Central Java Province as the largest number of micro-business workers, and West Papua Province has the lowest number workers. For small business workers, Central Java Province has the largest number and West Papua Province has the lowest number. The results of panel data regression show that some variables, such as small-enterprise worker and the number of micro enterprises, have a significantly negative effect on the poverty rate. On the other hand, micro-enterprise worker and the number of small enterprises have a positive and significant effect on poverty rate.
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