Factors associated with rural aging in Brazilian municipalities: an analysis using quantile regressions
DOI:
https://doi.org/10.12775/bgss-2023-0028Keywords
geography, planning & development, demography, population aging, BrazilAbstract
In rural Brazil, aging is an important phenomenon for the future of the country’s agricultural production. This process is associated with both increased life expectancy and rural-urban migration. According to studies on migration, young people are more likely to change their place of residence, being attracted by the existence of work opportunities and, consequently, repulsed by their scarcity. This study assumes the rate of rural aging tends to be higher in places where the ratio of urban to rural work opportunities is high. Thus, using spatial dependence models and quantile analysis of data from the 2017 Agricultural Census, the effects of factors associated with income, agrarian structure, and location on rural aging in Brazilian municipalities were assessed. The results suggest rural areas with low attractiveness situated close to urban centers are the most susceptible to population aging and, consequently, rural depopulation.
References
Abramovay, R., Ferrari, D.L., Silvestro, M.L., Cortina, N., Testa, V.M. & Baldissera, I.T. (2000). Sucessão profissional e transferência hereditária na agricultura familiar (Professional succession and hereditary transfer in family farming- in Portuguese). In: Ponencia presentada al X Congreso Mundial de Sociología Rural, Río de Janeiro.
Almeida, A.N. (2002). Determinantes do consumo de famílias com idosos e sem idosos com base na pesquisa de orçamentos familiares 1995/96 (Determinants of consumption in families with and without the elderly based on the 1995/96 family budget survey- in Portuguese). Dissertation (master's degree in science) - "luiz de queiroz" college of agriculture, university of são paulo, piracicaba.
Anjos, F.S. & Caldas, N.V. (2005). O futuro ameaçado: o mundo rural face aos desafios da masculinização, do velhecimento e da desagrarização (The threatened future: the rural world facing the challenges of masculinization, ageing and deagrarization- in Portuguese). Ensaios FEE, 26(1): 661-694.
Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical analysis, 27(2): 93-115.
Borah, B.J. & Basu, A. (2013). Highlighting differences between conditional and unconditional quantile regression approaches through an application to assess medication adherence. Health economics, 22(9): 1052-1070.
Brumer, A. (2004). Gênero e agricultura: a situação da mulher na agricultura do Rio Grande do Sul (Gender and agriculture: the situation of women in agriculture in the state of Rio Grande do Sul - in Portuguese). Revista Estudos Feministas, 12: 205-227.
Camarano, A.A. & Abramovay, R. (1999). Êxodo rural, envelhecimento e masculinização no Brasil: panorama dos últimos 50 anos (Rural exodus, ageing and masculinisation in Brazil: an overview of the last 50 years- in Portuguese). Ipea: texto para discussão, 621: 1-28.
Carone, G., Costello, D., Diez Guardia, N., Mourre, G., Przywara, B. & Salomäki, A. (2005). The economic impact of ageing populations in the EU25 Member States. Directorate general for economic and financial affairs European economy economic working paper, (236). Available at: https://ssrn.com/abstract=873872 or http://dx.doi.org/10.2139/ssrn.873872.
Chi, G. & Ventura, S.J. (2011). Population change and its driving factors in rural, suburban, and urban areas of Wisconsin, USA, 1970–2000. International Journal of Population Research, 2011: 1–14.
Carone, G., Costello, D., Diez Guardia, N., Mourre, G., Przywara, B. & Salomäki, A. (2005). The economic impact of ageing populations in the EU25 Member States. Directorate general for economic and financial affairs European economy economic working paper, (236).
Dirven, M. (2016). Juventud rural y empleo decente en América Latina (Rural youth and decent employment in Latin America- in Spanish). Organización de las Naciones Unidas para la Alimentación y la Agricultura. Santiago.
Firpo, S., Fortin, N.M. & Lemieux, T. (2009). Unconditional quantile regressions. Econometrica, 77(3): 953-973.
Filho, H.M., Buainain, A.M., da Silveira, J.M.F.J. & Vinholis, M.D.M.B. (2011). Condicionantes da adoção de inovações tecnológicas na agricultura. Cadernos de Ciência & Tecnologia, 28(1): 223-255.
Fougère, M., Harvey, S., Mercenier, J. & Mérette, M. (2009). Population ageing, time allocation and human capital: A general equilibrium analysis for Canada. Economic Modelling, 26(1): 30-39.
Froehlich, J.M., Rauber, C.D.C., Carpes, R.H. & Toebe, M. (2011). Êxodo seletivo, masculinização e envelhecimento da população rural na região central do RS (Selective exodus, masculinization and rural aging in the central Region of the RS - in Portuguese). Ciência Rural, 41: 1674-1680.
Godoy, C.M., Pérez, F.C.P., Wizniewsky, J.G., Guedes, A.C. & Moraes, C.S. (2010). Juventude rural, envelhecimento e o papel da aposentadoria no meio rural: a realidade do município de Santa Rosa/RS (Rural youth, ageing and the role of retirement in rural areas: the reality of the municipality of Santa Rosa/RS- in Portuguese). In Congresso da sociedade brasileira de economia administração e sociologia rural, 48: 1-18.
Griffith, D.A. & Griffith, D A. (2003). Spatial filtering. Springer Berlin Heidelberg.
Hoffmann, R., & Ney, M.G. (2010). Estrutura fundiária e propriedade agrícola no brasil, grandes regiões e unidades da federação (Land structure and agricultural property in Brazil, major regions and federation units- in Portuguese). Ministério do desenvolvimento agrário, brasília.
Ibge (2011). Instituto brasileiro de geografia e estatística. Características da população e dos domicílios: resultados do universo. Censo demográfico 2010 (Brazilian Institute of Geography and Statistics. Characteristics of the population and households: results of the universe. 2010 demographic census- in Portuguese). Rio de Janeiro. Available at: https://sidra.ibge.gov.br/pesquisa/censo-demografico/demografico-2010/universo-resultados-preliminares (Accessed: 23 August 2019).
Ibge (2005). Instituto brasileiro de geografia e estatística. Médio produtor - ministério da agricultura, pecuária e abastecimento (Brazilian Institute of Geography and Statistics. Medium producer - ministry of agriculture, livestock and supply- in Portuguese). Censo agropecuário. Rio de Janeiro. Available at: https://sidra.ibge.gov.br/pesquisa/censo-agropecuario/censo-agropecuario-2006/dados-sobre-medio-produtor-mapa-em-2006 (Accessed: 23 August 2019).
Ibge (2019). Instituto brasileiro de geografia e estatística. Médio produtor - ministério da agricultura, pecuária e abastecimento (Brazilian Institute of Geography and Statistics. Medium producer - ministry of agriculture, livestock and supply- in Portuguese). Censo agropecuário 2017. Rio de Janeiro. Disponível em: https://sidra.ibge.gov.br/pesquisa/censo-agropecuario/censo-agropecuario-2017/dados-sobre-medio-produtor-mapa-em-2017 (Accessed: 23 August 2019).
Ibge (2015). Instituto brasileiro de geografia e estatística. Pesquisa nacional por amostra de domicílios (pnad). Rio de Janeiro. Available at: https://sidra.ibge.gov.br/pesquisa/pnad. (Accessed at: 23 August 2019).
Ibge (2016). Instituto brasileiro de geografia e estatística. Produto interno bruto dos municípios. Rio de Janeiro. Available at: https://www.ibge.gov.br/estatisticas/economicas/contas-nacionais/9088-produto-interno-bruto-dos-municipios.html?t=resultados. Accessed: (23 August 2019).
Ibge (2017). Instituto brasileiro de geografia e estatística. Resultados preliminares. Características dos estabelecimentos agropecuários.censo agropecuário 2017. Rio de Janeiro. Available at: https://sidra.ibge.gov.br/pesquisa/censo-agropecuario/censo-agropecuario-2006/dados-sobre-medio-produtor-mapa-em-2006 (Accessed: 23 August 2019).
Keats, S. & Wiggins, S. (2016). Population change in the rural developing world making the transition. Over Seas Development Institute.
Koenker, R. & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 33-50.
Maia, A.G. & Buainain, A.M. (2015). O novo mapa da população rural brasileira. Confins. Revue franco-brésilienne de géographie/Revista franco-brasilera de geografia, (25): 1-26.
Mendonça, K.F.C., Ribeiro, E.M., Galizoni, F.M. & Augusto, H.A. (2013). Formação, sucessão e migração: trajetórias de duas gerações de agricultores do Alto Jequitinhonha, Minas Gerais (Training, succession and migration: histories of two generations of farmers in the Upper Jequitinhonha River Area, Minas Gerais - in Portuguese). Revista Brasileira de Estudos de População, 30: 445-463.
Morais, E.P.D., Rodrigues, R.A.P., & Gerhardt, T.E. (2008). Os idosos mais velhos no meio rural: realidade de vida e saúde de uma população do interior gaúcho (Older people in rural areas: the reality of life and health in a population in the interior of the state of Rio Grande do Sul- in Spanish). Texto & Contexto-Enfermagem, 17: 374-383.
Moran, P.A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2): 17-23.
Moreira, M.M. & de Carvalho, J.A.M. (2016). Envelhecimento da população e aposentadoria por idade (Population ageing and retirement by age - in Portuguese). Anais, 309-330.
Murakami, D. & Seya, H. (2019). Spatially filtered unconditional quantile regression: Application to a hedonic analysis. Environmetrics, 30(5): e2556.
Murakami, D. (2017). Spatial regression modeling using the spmoran package: Boston housing price data examples. arXiv preprint arXiv: 1703.04467.
Onofri, P. (2004). The economics of an ageing population. Edward Elgar Publishing.
Queiroz, B.L. & Turra, C.M. (2010). Window of opportunity: socioeconomic consequences of demographic changes in Brazil. Washington, DC: NTA.
Santos, B.R.D. (2012). Modelos de regressão quantílica (Quantile regression mod- in Portuguese). (Doctoral dissertation, Universidade de São Paulo).
Schneider, I. (1994). Êxodo, envelhecimento populacional e estratégias de sucessão na exploração agrícola (Exodus, population ageing and farm succession strategies.- in Portuguese). Indicadores Econômicos FEE, 21(4): 259-268.
Sili, M., Fachelli, S. & Meiller, A. (2016). Juventud rural: factores que influyen en el desarrollo de la actividad agropecuaria. Reflexiones sobre el caso argentino (Juventud rural: factores que influyen en el desarrollo de la actividad agropecuaria. Reflexiones sobre el caso argentino- in Spanish). Revista de Economia e Sociologia Rural, 54: 635-652.
Wongboonsin, K. & Phiromswad, P. (2017). Searching for empirical linkages between demographic structure and economic growth. Economic Modelling, 60: 364-379.
Wu, Y., Song, Y. & Yu, T. (2019). Spatial differences in China’s population aging and influencing factors: The perspectives of spatial dependence and spatial heterogeneity. Sustainability, 11(21): 5959.
Zhang, X., Yu, L. & Xu, X. (2023). Study on the Spatial Distribution Characteristics and Poverty Inducements of Poverty-Stricken Villages in Henan Province. Land, 12(5): 957.
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