Effect of regional housing hardship on spatial variation in cancer incidence: Does housing stress increase cancer incidence?

By Haishi Yu1, Jinyu Huang2, Yang Wang2, Xiaoli Yue2, Yingmei Wu2, Hong’ou Zhang3

1. Yunnan Normal University Hospital 2. Faculty of Geography, Yunnan Normal University 3. Guangzhou Institute of Geography, Guangdong Academy of Sciences

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Abstract

In order to analyze the relationship between housing difficulties and Cancer incidence, this study takes 1058 counties(459 urban areas and 599 non-urban areas)on the Yangtze River Economic Belt(YREB) as an example and develops a factor model related to housing difficulties, which includes one independent variable, Three explanatory variables (Housing price-to-income ratio, Per capita living area, Rental household proportion) and nine control variables (Real GDP per capita, Wages, Education years per capita, Household size, Proportion of employment in secondary sector of economy, PM2.5 concentration, Temperature, Precipitation, Atmospheric pressure). The data required by the model is provided by excel data.

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Researchers should cite this work as follows:

  • Haishi Yu; Jinyu Huang; Yang Wang; Xiaoli Yue; Yingmei Wu; Hong’ou Zhang (2024), "Effect of regional housing hardship on spatial variation in cancer incidence: Does housing stress increase cancer incidence?," https://mygeohub.org/resources/1703.

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