Panorama da produção científica relacionado a escolaridade e distribuição de renda: proposição de lacunas teóricas

Abstract

The systematic literature review allows scholars on the subject of education and income distribution to consolidate existing knowledge on the topic, by bringing together and synthesizing the findings of several studies already carried out, enabling a broader and deeper understanding of the relationship studied, seeking to identify gaps that may be the subject of future research studies, which justifies carrying out this research. In this sense, the objective of this work is to find evidence about research on the relationship between education and income distribution based on international scientific literature. The systematic literature review technique was used based on the protocol developed by Tranfield, Denyer and Smart (2003) which covers three stages: (1) review planning; (2) carrying out the review and (3) disseminating knowledge. To this end, we used the textual corpus containing 101 primary articles from 78 different journals based on strict sample selection criteria collected in the Scopus and Web of Science journal databases, aiming to answer the research problem. The results obtained for primary articles were stratified in an Excel spreadsheet through content analysis and using the bibliometric packages VOSviewer, Bibliometrix, Gephi and TLab Plus 2022, from which it was possible to assess the validity of the three main bibliometric laws regarding analysis of author productivity (Lotka's Law), journal productivity (Bradford's Law) and word cloud (Zipf's Law). The results found allow us to affirm that there is an exponential trend in the temporal evolution of publications, in addition to showing that there is a research elite on the topic, with a number of 10 authors most engaged in carrying out research. Additionally, the country cluster analysis divided the corpus into 3 groups, the first has 3 countries, with China as a highlight, the second has 6 countries and has the United Kingdom as a highlight and the last cluster has the United States as a reference among 10 countries. Regarding the analysis of the grouping of keywords, it is possible to state that of the 30 words with the highest frequency in the corpus, 150 connections were found, which allows us to affirm that the keywords are not independent, with a strong connection between them. Furthermore, this work provides readers with a list of propositions and insights into the relationship investigated with a view to developing future work.