Production
https://prod.org.br/article/doi/10.1590/0103-6513.20230028
Production
Research Article

Economic complexity and housing deficit: an econometric analysis in Brazil

Ana Cláudia Andreoli; Diogo Ferraz; Enzo Barberio Mariano

Downloads: 0
Views: 196

Abstract

Paper aims: Housing is pivotal in advancing the quality of life. This study investigates the impact of economic complexity on the housing deficit within the Brazilian states.

Originality: Several studies have investigated the significance of social policies and economic growth as explanatory factors for housing deficits. Our study sheds light on the importance of economic structure in facilitating improved housing conditions for individuals.

Research method: The Fixed Effects Driscoll Kraay (FE-DK) econometric model was employed, utilizing panel data encompassing 27 Brazilian federative units spanning 2009 to 2017.

Main findings: The primary finding of this research elucidates the role of economic complexity as a determining factor that significantly impacts the housing deficit within Brazilian states. In other words, an enhanced economic structure contributes to improved housing conditions for the population and fosters a higher quality of life.

Implications for theory and practice: Theoretically, this paper posits the existence of a novel determinant that elucidates the housing and housing deficit theory. Moreover, the study makes a substantive contribution by advocating for public policies to facilitate housing conditions and enhance social well-being within a developing country. It underscores the pivotal significance of the productive structure in driving the economic development of the nation.

Keywords

Housing deficit, Production structure, Public policy, Economic growth

References

Abidin, N. Z., Abdullah, M. I., Basrah, N., & Alias, M. N. (2019). Residential satisfaction: literature review and a conceptual framework. IOP Conference Series. Earth and Environmental Science, 385(1), 012040. http://dx.doi.org/10.1088/1755-1315/385/1/012040.

Araji, S. Z., & Shahin, B. R. (2021). Identification of effective integrated indicators for sustainable affordable housing provision. IOP Conference Series. Earth and Environmental Science, 856(1), 012055. http://dx.doi.org/10.1088/1755-1315/856/1/012055.

Balland, P. A., Boschma, R., & Frenken, K. (2015). Proximity and innovation: from statics to dynamics. Regional Studies, 49(6), 907-920. http://dx.doi.org/10.1080/00343404.2014.883598.

Brasil. Portal Brasileiro de Dados Abertos. (2021a, September 30). Indicadores sobre Bolsa Família. Retrieved in 10 April 2023, from https://dados.gov.br/dados/conjuntos-dados.

Brasil. Portal Brasileiro de Dados Abertos. (2021b, September 30). Indicadores sobre Minha Casa Minha Vida. Retrieved in 10 April 2023, from https://dados.gov.br/dados/conjuntos-dados.

Brasil. Presidência da República. (2015, March 18). Lei Ordinária nº 11.977, de 7 de julho de 2009. Dispõe sobre o Programa Minha Casa Minha Vida e dá outras providências. Diário Oficial [da] República Federativa do Brasil. Retrieved in 10 April 2023, from http://www.planalto.gov.br/ccivil_03/_Ato2007-2010/2009/Lei/L11977.htm.

Brauw, A., Gilligan, D. O., Hoddinott, J., & Roy, S. (2014). The impact of bolsa família on women’s decision-making power. World Development, 59, 487-504. http://dx.doi.org/10.1016/j.worlddev.2013.02.003.

Bredenoord, J., & van Lindert, P. (2010). Pro-poor housing policies: rethinking the potential of assisted self-help housing. Habitat International, 34(3), 278-287. http://dx.doi.org/10.1016/j.habitatint.2009.12.001.

Breusch, T. S., & Pagan, A. R. (1980). The lagrange multiplier test and its applications to model specification in econometrics. The Review of Economic Studies, 47(1), 239-253. http://dx.doi.org/10.2307/2297111.

Brueckner, J. K., Mation, L., & Nadalin, V. G. (2019). Slums in Brazil: Where are they located, who lives in them, and do they ‘squeeze’the formal housing market? Journal of Housing Economics, 44, 48-60. http://dx.doi.org/10.1016/j.jhe.2019.02.003.

Cardoso, A. L., & Leal, J. A. (2010). Housing markets in Brazil: recent trends and governmental responses to the 2008 crisis. International Journal of Housing Policy, 10(2), 191-208. http://dx.doi.org/10.1080/14616718.2010.480859.

Castro, M. L., & Von Kruger, P. G. (2013). Unidades de seleção tecnológica e inovação na construção habitacional no Brasil. Ambiente Construído, 13(3), 217-233. http://dx.doi.org/10.1590/S1678-86212013000300013.

Chang, H., & Andreoni, A. (2020). Industrial Policy in the 21st Century. Development and Change, 51(2), 324-351. http://dx.doi.org/10.1111/dech.12570.

Confederação Nacional de Municípios. (2012). CNM Habitação: Política Nacional de Habitação. Brasília: CNM

D'Agostino, R. B. (1970). Transformation to normality of the null distribution of G1. Biometrika, 57(3), 679-681. http://dx.doi.org/10.1093/biomet/57.3.679.

Dataviva. (2021, November 18). Dados sobre complexidade econômica dos estados brasileiros. Retrieved in 10 April 2023, from https://www.dataviva.info/pt/rankings/location/international-trade.

Driscoll, J. C., & Kraay, A. C. (1998). Consistent covariance matrix estimation with spatially dependent panel data. The Review of Economics and Statistics, 80(4), 549-560. http://dx.doi.org/10.1162/003465398557825.

Ferraz, D., Falguera, F. P. S., Mariano, E. B., & Hartmann, D. (2021). Linking economic complexity, diversification, and industrial policy with sustainable development: a structured literature review. Sustainability, 13(3), 1265. https://doi.org/10.3390/su13031265.

Ferraz, D., Moralles, H. F., Campoli, J. S., Oliveira, F. C. R., & Rebelatto, D. A. D. N. (2018). Economic complexity and human development: DEA performance measurement in Asia and Latin America. Gestão & Produção, 25(4), 839-853. http://dx.doi.org/10.1590/0104-530x3925-18.

Fundação João Pinheiro, & Diretoria de Estatística e Informações. (2021). Metodologia do deficit habitacional e da inadequação de domicílios no Brasil: 2016-2019. Belo Horizonte: Fundação João Pinheiro.

Ha, S. K. (2010). Housing, social capital and community development in Seoul. Cities (London, England), 27, S35-S42. http://dx.doi.org/10.1016/j.cities.2010.03.004.

Hartmann, D., Guevara, A. M. R., Jara-Figueroa, C., Aristarán, M., & Hidalgo, C. A. (2017). Linking economic complexity, institutions, and income inequality. World Development, 93, 75-93. http://dx.doi.org/10.1016/j.worlddev.2016.12.020.

Hartmann, D., Zagato, L., Gala, P., & Pinheiro, L. (2021). Why did some countries catch-up, while others got stuck in the middle? Stages of productive sophistication and smart industrial policies. Structural Change and Economic Dynamics, 58, 1-13. http://dx.doi.org/10.1016/j.strueco.2021.04.007.

Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Chung, S., Jimenez, J., Simoes, A., & Yildirim, M. A. (2014, July 17). The Atlas of Economic Complexity: mapping paths to prosperity. Retrieved in 10 April 2023, from https://direct.mit.edu/books/oa-monograph/3014/The-Atlas-of-Economic-ComplexityMapping-Paths-to.

Herrera, W. D. M., Strauch, J. C. M., & Bruno, M. A. P. (2020). Economic complexity of Brazilian States in the period 1997-2017. Area Development and Policy, 6(1), 63-81. http://dx.doi.org/10.1080/23792949.2020.1761846.

Hidalgo, C. A. (2021). Economic complexity theory and applications. Nature Reviews Physics, 3(2), 92-113. http://dx.doi.org/10.1038/s42254-020-00275-1.

Hidalgo, C. A., & Hausmann, R. (2009). The building blocks of economic complexity. Proceedings of the National Academy of Sciences of the United States of America, 106(26), 10570-10575. http://dx.doi.org/10.1073/pnas.0900943106. PMid:19549871.

Hsiao, C. (2014). Analysis of panel data. Cambridge: Cambridge University Press. http://dx.doi.org/10.1017/CBO9781139839327.

Inoua, S. (2023). A simple measure of economic complexity. Research Policy, 52(7), 104793. http://dx.doi.org/10.1016/j.respol.2023.104793.

Instituto Brasileiro de Geografia e Estatística. (2014). Síntese de Indicadores Sociais. Uma análise das condições de vida da população brasileira. Rio de Janeiro: IBGE.

Instituto Brasileiro de Geografia e Estatística. (2021). Indicadores Socioeconômicos. Retrieved in 10 April 2023, from http://www.ibge.gov.br/.

Jarque, C. M., & Bera, A. K. (1987). A test for normality of observations and regression residuals. International Statistical Review, 55(2), 163-172. http://dx.doi.org/10.2307/1403192.

Libertun de Duren, N., & Osorio, R. (2020). The effect of public expenditure on the housing deficit in peru at the municipal level. Housing Policy Debate, 30(5), 718-740. http://dx.doi.org/10.1080/10511482.2020.1739107.

Magalhães, K. A., Cotta, R. M. M., Martins, T. C. P., Gomes, A. P., & Batista, R. S. (2013). A Habitação como Determinante Social da Saúde: percepções e condições de vida de famílias cadastradas no Programa Bolsa Família. Saúde e Sociedade, 22(1), 57-72. http://dx.doi.org/10.1590/S0104-12902013000100007.

Makinde, O. O. (2014). Housing delivery system, need and demand. Environment, Development and Sustainability, 16(1), 49-69. http://dx.doi.org/10.1007/s10668-013-9474-9.

Manzoli, V., Duarte, A., & Simões, M. (2020). Housing, inequality and economic growth: evidence from a sample of Brazilian States. Economic Analysis, 1(53), 42-58.

Moore, E. A. (2019). Addressing housing deficit in Nigeria: Issues, challenges and prospects. Economic and Financial Review, 57(4), 15.

Morais, M., Swart, J., & Jordaan, J. A. (2021). Economic complexity and inequality: does regional productive structure affect income inequality in Brazilian states? Sustainability (Switzerland), 13(2), 1006. http://dx.doi.org/10.3390/su13021006.

Olanrewaju, A., Yeow, S., & Lim, L. (2016). Rethinking affordable housing delivery: an analytical insight. MATEC Web of Conferences, 47, 04002.

Olaya, Y., Vásquez, F., & Müller, D. B. (2017). Dwelling stock dynamics for addressing housing deficit. Resources, Conservation and Recycling, 123, 187-199. http://dx.doi.org/10.1016/j.resconrec.2016.09.028.

Operti, F. G., Pugliese, E., Andrade Junior, J. S., Pietronero, L., & Gabrielli, A. (2019). Correction: dynamics in the fitness-income plane: Brazilian states vs World countries. PLoS One, 14(5), e0217034. http://dx.doi.org/10.1371/journal.pone.0217034. PMid:31091296.

Rangel, J. A., da Costa, S. M. F., Lima, V. M., Reschilian, P. R., & Montoia, G. R. M. (2020). Minha casa minha vida program and its repercussion in a regional scale: a study about the amazon river delta. Revista Brasileira de Gestão e Desenvolvimento Regional, 16(1), 32-34.

Sepehrdoust, H., Tartar, M., & Mohtashami, S. (2023). Impact of determinant macro economic variables on environmental changes in Iran. Environmental Health Insights, 17, 11786302221149855. http://dx.doi.org/10.1177/11786302221149855. PMid:36755805.

Soyyigit, S., Topuz, H., & Ozekicioglu, H. (2019). The effects of economic complexity, export and fixed capital investments on income per capita: The case of G-20 countries. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 6(2), 393-407.

Stiglitz, J. E., Sen, A., & Fitoussi, J. P. (2015, April 27). Report by the commission on the measurement of economic performance and social progress, 2009. Retrieved in 10 April 2023, from https://www.economie.gouv.fr/files/finances/presse/dossiers_de_presse/090914mesure_perf_eco_progres_social/synthese_ang.pdf.

United Nations Development Programme. (2022). One United Nations Plaza. Retrieved in 10 April 2023, from https://www.undp.org/.

United Nations. Human Settlements Programme. (2013). Scaling-up affordable housing supply in Brazil: The ‘My House My Life’ Programme. Retrieved in 10 April 2023, from https://unhabitat.org/sites/default/files/download-manager-files/Scaling-up%20Affordable%20Housing%20Supply%20in%20Brazil.pdf.

Vasconcelos, R. S., & Camilo, T. A. (2023). Análise do Programa Minha Casa Minha Vida, e os próximos passos para reduzir o déficit habitacional segundo a literatura. Research, Social and Development, 12(1), e18612139584. http://dx.doi.org/10.33448/rsd-v12i1.39584.

Vu, T. V. (2020). Economic complexity and health outcomes: a global perspective. Social Science & Medicine, 265, 113480. http://dx.doi.org/10.1016/j.socscimed.2020.113480. PMid:33183860.

Wald, A. (1943). Tests of statistical hypotheses concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society, 54(3), 426-482. http://dx.doi.org/10.1090/S0002-9947-1943-0012401-3.

Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge: MIT Press.

Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. Cambridge: MIT Press.

Zanetta, C. (2002). The failings of argentina’s reform program: a view from the municipal and housing sectors. Cities (London, England), 19(3), 173-182. http://dx.doi.org/10.1016/S0264-2751(02)00014-8.

Zu, S., & Li, R. (2017). Economic complexity, human capital and economic growth: empirical research based on cross-country panel data. Applied Economics, 49(38), 3815-3828. http://dx.doi.org/10.1080/00036846.2016.1270413.
 


Submitted date:
04/10/2023

Accepted date:
08/17/2023

653b9c24a953954811043b63 production Articles
Links & Downloads

Production

Share this page
Page Sections