In general, many factors, including government spending, influence economic growth. In many theoretical and empirical studies, government spending is seen from the ratio between government spending and Gross Domestic Product (GDP) or government size. This research aims to examine the influence of government size on economic growth in districts/cities of South Sumatra Province. The government size to be analyzed is the amount of government spending on public services, housing and public facilities, education, and health. The data used in this study is secondary data for the 2010-2020 and covers 15 regencies/cities. The data was obtained from the Central Statistics Agency and the Regional Financial and Asset Management Agency. The analytical technique used in this research is descriptive analysis technique and quantitative analysis. Klassen Typology Approach was used to identify the regencies/cities with fast growth and the relatively lagging regencies/cities of South Sumatra Province. The study results show that government spending on public services and health has a positive and significant effect on economic growth. Meanwhile, the government spending on housing and public facilities has a positive and insignificant effect. In contrast, the government spending on education has a negative and significant impact on economic growth. This study recommends local governments increase the allocation of regional expenditure to sectors that lead to economic growth, especially in newly created regions.

Consumer characteristics of digital entrepreneurship are indispensable in achieving sustainable growth. Digital entrepreneurship has been rapidly growing and developing worldwide, and Indonesia is no exception. This study aims to determine the effect of socio-demographics on consumer decisions on using products and services of digital entrepreneurship in Indonesia. The study used an online survey of 400 residents of Palembang City, Indonesia. The respondents were selected through a stratified random sampling method. A logistic regression model is estimated to determine the effect of socio-demographic variables that promote start-up entrepreneurship. The empirical results show that age, education, and income have a significant effect on consumers of digital entrepreneurship. The results also confirm that young people are more likely than older people to set up digital entrepreneurship. The higher people’s income and higher their education, the greater their likelihood of using products and services of digital entrepreneurship. The implication is that digital entrepreneurs must consider the reach of consumers to the products and services offered in terms of price, quality, uniqueness, and convenience per socio-demographic conditions. AcknowledgmentThe research team would like to thank the Directorate of Resources, Directorate General Higher Education, Research and Technology Ministry of Education, Culture, Research and Technology as the funder, with Contract number 009/E4.1/AK.04.RA/2021.