Population transitions and temperature change in Minas Gerais, Brazil: a multidimensional approach. Barbieri, A., F., Guedes, G., R., Noronha, K., Queiroz, B., L., Domingues, E., P., Rigotti, J., I., R., Motta, G., P., Chein, F., Cortezzi, F., Confalonieri, U., E., C., & Souza, K. Revista Brasileira de Estudos de População, 32(3):461-488, 12, 2015.
Population transitions and temperature change in Minas Gerais, Brazil: a multidimensional approach [link]Website  abstract   bibtex   
Climate change will exacerbate the vulnerability of places and people around the world in the next decades, especially in less developed regions. In this paper, we investigate future scenarios of population vulnerability to climate change for the next 30 years in 66 regions of the state of Minas Gerais, Brazil. Based upon the Alkire & Foster Index, we integrate simulated and projected dimensions of population vulnerability into a Multidimensional Index, showing how scenarios of temperature change would affect each region's relative vulnerability in the future. Results suggest that economic and health dimensions are the highest contributors to increases in temperature-related vulnerability, with the poorest and agribusiness regions being the most impacted in decades to come.
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 title = {Population transitions and temperature change in Minas Gerais, Brazil: a multidimensional approach},
 type = {article},
 year = {2015},
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 pages = {461-488},
 volume = {32},
 websites = {http://dx.doi.org/10.1590/s0102-3098201500000028,citeulike-article-id:14218294},
 month = {12},
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 abstract = {Climate change will exacerbate the vulnerability of places and people around the world in the next decades, especially in less developed regions. In this paper, we investigate future scenarios of population vulnerability to climate change for the next 30 years in 66 regions of the state of Minas Gerais, Brazil. Based upon the Alkire & Foster Index, we integrate simulated and projected dimensions of population vulnerability into a Multidimensional Index, showing how scenarios of temperature change would affect each region's relative vulnerability in the future. Results suggest that economic and health dimensions are the highest contributors to increases in temperature-related vulnerability, with the poorest and agribusiness regions being the most impacted in decades to come.},
 bibtype = {article},
 author = {Barbieri, A F and Guedes, G R and Noronha, K and Queiroz, B L and Domingues, E P and Rigotti, J I R and Motta, G P and Chein, Flavia and Cortezzi, F and Confalonieri, U E C and Souza, K},
 journal = {Revista Brasileira de Estudos de População},
 number = {3}
}

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