نتایج جستجو برای: especially analyzing spatial inequality
تعداد نتایج: 892214 فیلتر نتایج به سال:
Two geographers specializing in China analyze that country’s health care inequality from 1990 to 2008, for the purpose of: (1) examining spatial-temporal variations of health care inequality at multiple scales (the regional, provincial, and county levels); (2) exploring whether economic growth and transition to a market economy have exacerbated the unevenness of health care; and (3) analyzing t...
A popular methodology of studying spatial income inequality is analysis of beta-convergence (i.e. an inverse relationship between current income per capita and its initial level). Its widespread use is based on a belief that the economic growth theory predicts income convergence among economies (countries or regions within a country), and that beta-convergence suggests decreasing income inequal...
An accurate and reliable model is critical for analyzing racial/ethnic and socioeconomic inequality in the spatial distribution of higher-priced/subprime mortgages. Employing a spatial error model, this research analyzes spatial autocorrelation in higher-priced mortgages in the Philadelphia and Chicago MSAs. The empirical results show that higher-priced mortgages occur disproportionately on tra...
the purpose of this paper is to describe the concept of neoliberalism, globalization. also, the effects of these concepts on space and geographical identity and also by focusing on globalization effects on geography science have been addressed. finally by criticizing the present way that expands neoliberalism ideology is sought to be able to maintain human being dignity in of economic, social a...
Reducing gender inequality is a major policy concern worldwide, and one of the Sustainable Development Goals. However, our understanding of the magnitude and spatial distribution of gender inequality results either from limited-scale case studies or from national-level statistics. Here, we produce the first high resolution map of gender inequality by analyzing over 689,000 households in 47 coun...
regarding the necessity of regional integrated development, analyzing the dependency of human habitats in region-level, is the main duty in every planning. therefore, deprivation and inequality reduction is an important matter, due to its economic and social consequences and needs proper attention. in fact, to achieve comprehensive development and progress in the future; requires the recognitio...
R egional unbalanced growth and the factors affecting it are one of the most important economic issues in developing countries. In this research, after evaluating the regional inequality at the provincial level of Iran, in order to examine the effect of economic factors on it, it was considered as a spatial econometric model using panel data during the period of 2001 to 2015. The evaluatio...
The tremendous changes in China’s development philosophy and regional economies during the last two decades have carved out selectively new locations of development across the nation. While politicians heatedly debate the acceptable levels of regional inequality, most scholarly studies focus on broad aggregate trends of inequality among provinces and groups of provinces, and pay little attentio...
Decomposition analysis is a critical tool for understanding the social and spatial dimensions of inequality, segregation, and diversity. In this paper, I propose a new measure – the Divergence Index – to address the need for a decomposable measure of segregation. Although the Information Theory Index has been used to decompose segregation within and between communities, I argue that it measures...
During the first decade of the twenty-first century, Chinese cities have experienced the unprecedented housing development and marketization, which has profoundly changed housing consumption. Using the latest census data, this paper provides the first evaluation of housing consumption in Chinese cities during 2000–2010. Not surprisingly, housing consumption has improved significantly over time,...
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