Individual microentrepreneurs and economic development in the municipalities of São Paulo from 2010 to 2014

Abstract

Study Aims: to analyze the significant relationship contribution of Individual Microentrepreneurs (MEI) in the socioeconomic development of São Paulo municipalities in the period from 2010 to 2014. Methodology: quantitative approach, of an explanatory nature, with documentary research on data from 637 municipalities in the state of São Paulo. Based on the studies by Silva & Porto Júnior (2006) and Caldarelli & Perdigão (2018), the Gross Domestic Product (Municipal GDP) and the Firjan Municipal Development Index (IFDM) were defined as dependent variables and the total of Existing MEIs per municipality. Main results: there were evidenced positive and significant coefficients of MEI´s in 24 municipalities in São Paulo with low and medium socioeconomic growth, in 2014. Methodological contributions: use of the Quantile Regression technique, more appropriate to estimate independent variables categorized by high variability, as demonstrated in the studies by Hao & Naiman (1949), Santos (2012), Das, Krzywinski & Altman (2019) and Koenker & Hallock (2001). Relevance and originality: the study expands, in part, the understanding of previous studies on the different relationships pointed out between the MEI, the GDP and the IDFM of municipalities in different categories of municipal socioeconomic development. Contributions to management: public managers, from both small and medium or large cities, based on differentiated actions consistent with each context, have a policy of fostering and supporting the creation of micro and small businesses with one of the effective ways to enhance and impact socioeconomic development.

Pesquisa quantitativa em empreendedorismo e o apoio do software R para análise de dados

“…: Panel Study of Entrepreneurial Dynamics -PSED e Global Entrepreneurship Monitor -GEM). Benatti et al (2021), por exemplo, utilizaram dados do Microempreendedor Individual (MEI), extraídos a partir do repositório do Data Sebrae 1 , para avaliar o efeito dessa categoria de empreendimento sobre o desenvolvimento econômico em municípios paulistas. Audretsch et al (2021) conjugaram diversas fontes de dados -dentre elas o GEM -para avaliar o efeito de variáveis institucionais sobre o empreendedorismo de oportunidade e necessidade a nível país.…”

“…Em um exemplo das técnicas de dependência, Benatti et al (2021) dependentes (PIB-M e IFDM). O estudo permitiu identificar que o MEI exerce maior efeito sobre municípios de menor tamanho e de faixas de baixo e médio crescimento do IFDM.…”

Quantitative research in entrepreneurship using R software for data analysis

“…There are governmental and institutional databases, company records, and surveys in this universe devoted primarily to the study of the entrepreneurial phenomenon (for example, the Panel Study of Entrepreneurial Dynamics (PSED) and the Global Entrepreneurship Monitor (GEM)). Benatti et al (2021), for example, used data from the Microempreendedor Individual (MEI), extracted from the Data Sebrae repository 1 , to assess the effect of this category of business on economic development of São Paulo state's municipalities. Audretsch et al (2021) used a variety of data sources, including the GEM, to investigate the impact of institutional variables on opportunity and necessity entrepreneurship at the national level.…”

“…The first cluster was dominated by northern European countries and was labeled as friendly, the second by Asian and African countries and was labeled pragmatic, and the third by countries from southern Europe and Latin America and was labeled progressive. Benatti et al (2021) used dependency techniques to assess the relationship between MEI registration in municipalities in São Paulo and various economic indicators (the Municipal Gross Domestic Product -GDP-M -and Firjan Municipal Development Index -IFDM). The authors collected data from various secondary sources and used quantile regression in two models, both with the MEI record as an independent variable but two different dependent variables (GDP-M and IFDM).…”