Socioeconomic and demographic scenario of Brazil, India and Australia

Áurea Machado de Aragão; Antônio Martins de Oliveira Júnior

doi:10.31686/ijier.vol7.iss9.1725

Authors

Áurea Machado de Aragão Federal University of Sergipe, Brazil
Antônio Martins de Oliveira Júnior Federal University of Sergipe, Brazil

DOI:

https://doi.org/10.31686/ijier.vol7.iss9.1725

Abstract views: 135 /

PDF downloads: 146

Keywords:

population, health expenditure, gross domestic product, economically active population, patents

Abstract

This work presents a study on the social, economic and demographic aspects of Brazil, India and Australia. For this study, a socioeconomic and demographic survey was carried out, analysing Brazil, India and Australia, aimed at comparing the current scenario of these three countries. For the qualitative and quantitative analysis, data mining on the World Bank, IndexMundi, CountryEconomy, Trading Economics and the Organisation for Economic Co-operation and Development (OECD) databases was performed, having subsequently drawn graphs that summarise the textual information found. With the results, among other conclusions, it was observed that Indian women are not highly present in the job market, with Brazil and Australia having an analogous rate of working women. Furthermore, a similarity was found between the rates of articles published in scientific journals in both Brazil and Australia. Regarding per capita spending on health, it could be noted that the rate in Australia is 10 times higher than in Brazil, while this rate is 20 times lower in India when compared to Brazil. It was also concluded that, although India has 60% more requests for resident and non-resident patent applications, the revenue from intellectual property in this country is 36% lower than the one in Australia and 19% lower than in Brazil.

Downloads

Download data is not yet available.

Author Biographies

Áurea Machado de Aragão, Federal University of Sergipe, Brazil

Program of Postgraduate in Intellectual Property Science
Antônio Martins de Oliveira Júnior, Federal University of Sergipe, Brazil

Program of Postgraduate in Intellectual Property Science

References

[1] ABREU ,Marcos Vinicius Sanches; OLIVEIRA, Julio Cesar de; ANDRADE, Viviane Delfino Albuquerque; MEIRA, Anderson Donizete. “Proposta metodológica para o cálculo e análise espacial do IDH intraurbano de Viçosa – MG”. R. bras. Est. Pop., Rio de Janeiro, v. 28, n. 1, jan./jun. 2011, pp. 169-186.

[2] AUSTRALIAN GOVERNMENT. Department of Foreign Affairs and Trade. International relations. Edição: 12 fev. 2019. Available at: <https://dfat.gov.au/international-relations/Pages/international-relations.aspx> Accessed on: Fev.16, 2019.

[3] COUNTRYECONOMY.COM. Government Health Expenditure, 2019. Available at: <https://countryeconomy.com/government/expenditure/health> Accessed on: Fev.10, 2019.

[4] CRESWELL, John. W. Projeto de pesquisa: métodos qualitativo, quantitativo e misto. 3. ed. Porto Alegre: Artmed, 2010.

[5] CRESWELL, John. W.; CLARK , Vicki L. Plano. Pesquisa de métodos mistos. 2. ed. Trad. Magda França Lopes. Ver. Téc. Dirceu da Silva. Porto Alegre: Penso, 2013.

[6] GRAY, David, E. Pesquisa no Mundo Real. Trad. Roberto Caraldo Costa. Rev. Téc. Dirceu da Silva. 2.ed. Porto Alegre: Penso, 2012.

[7] INDEXMUNDI. Population growth (annual %), 2016. Available at: <https://www.indexmundi.com/india/population_growth_rate.html>. Accessed on: Dez.02, 2017.

[8] INDEXMUNDI, Labor force - by occupation, 2018. Available at: <https://www.indexmundi.com/brazil/labor_force_by_occupation.html>. Accessed on: Fev. 02, 2019.

[9] KUMAR, Abhay; DEKA, Aniruddha; SINHA, Rajat. “Policy Imperatives for Rural Housing in India”. HUDCO-HSMI Publication. Oct., 2017, v.18, n.2, pp. 20-26

[11] LIMA, Everton Emanuel Campos de; BRAGA, Fernando Gomes. “Da rotatividade migratória à baixa migração: uma análise dos padrões da mobilidade populacional no Brasil de 1995-2000”. R. bras. Est. Pop., Rio de Janeiro, v. 30, n. 1, jan./jun. 2013, pp. 57-75.

[12] OECD- Organisation for Economic Co-operation and Development. OECD Income Distribution Database (IDD): Gini, poverty, income, Methods and Concepts: Key Indicators, 2018. Available at: < http://www.oecd.org/social/income-distribution-database.htm> Accessed on: Fev.11, 2019.

[13] SHAH, Amita. “Poverty in Remote Rural Areas in India: Pattern, Processes of Reproduction, and Policy Imperatives”. Bhavnagar : Gujarat Institute of Development Research. March 2007. Available at: <https://www.odi.org/publications/2672-poverty-remote-rural-areas-india>. Accessed on: Mar. 03, 2019.

[14] TRADING ECONOMICS. Calendário, países, indicadores, mercado, previsões. 2019. Available at: < https://pt.tradingeconomics.com>. Accessed on: Fev. 04, 2019.

[15] WIKIPÉDIA. Relações Internacionais do Brasil. 2018a. Available at: <https://pt.wikipedia.org/wiki/Rela%C3%A7%C3%B5es_internacionais_do_Brasil> Accessed on: Fev. 10, 2019.

[16] WIKIPÉDIA. Relações Internacionais da Índia. 2018b. Available at:
<https://pt.wikipedia.org/wiki/Rela%C3%A7%C3%B5es_internacionais_da_%C3%8Dndia> Accessed on: Fev.15, 2019.

[17] WOLRD BANK . World Bank Open Data, 2019. Available at: <https://data.worldbank.org>. Accessed on: Fev.10, 2019.