The Experts below are selected from a list of 10551 Experts worldwide ranked by ideXlab platform
Janet E Kodras - One of the best experts on this subject based on the ideXlab platform.
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the changing map of american poverty in an era of Economic Restructuring and political realignment
Economic Geography, 1997Co-Authors: Janet E KodrasAbstract:AbstractThe intent of this study is to demonstrate that an understanding of poverty in geographic and historical perspective can powerfully inform the societal debate over the causes of poverty. I argue that conservative theory, attributing poverty to individual deficiencies, such as indolence and low aspirations, falters when the spatial dynamics of poverty in the United States are considered. The changing map of American poverty does not represent an ebb and flow of lassitude among the nation’s population; rather, it reflects the geographic contours of recent transformations in the American political economy. I begin by investigating the changing map of poverty over the last two decades of Economic Restructuring and political realignment in the United States. I then present five brief case studies to demonstrate that poverty is geographically produced, as alterations in the market and the state emanating from the global and national levels are differentially translated into the social order of locales t...
Kevin Lo - One of the best experts on this subject based on the ideXlab platform.
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Analyzing and optimizing the impact of Economic Restructuring on Shanghai’s carbon emissions using STIRPAT and NSGA-II
Sustainable Cities and Society, 2018Co-Authors: Shangguang Yang, Kevin LoAbstract:Abstract The Economic Restructuring of cities has a significant impact on their carbon emissions and is an important pathway to low-carbon development. China is the world’s largest carbon emitter, but few studies provide an in-depth analysis of how Economic Restructuring is affecting carbon emissions at its city level. This study develops a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to analyze the impact of Economic Restructuring on CO2 emissions in Shanghai. The results suggest that Shanghai’s emissions have remained stable post-2007, largely due to the city’s Economic Restructuring in favor of the tertiary sector: every 1% increase in the tertiary sector’s share of GDP is associated with a 0.76% reduction in CO2 emissions. This study also uses a multi-objective genetic algorithm, specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize Economic Restructuring of Shanghai with regard to Economic and climate objectives. The result suggests that Shanghai should aim to reduce the industrial share of gross output from 49.4% in 2012 to 38.3% in 2020. The main conclusion of the study is that Shanghai and, by extension, other Chinese cities, cannot achieve their climate targets without making meaningful changes to the economy geared towards less carbon-intensive activities.
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analyzing and optimizing the impact of Economic Restructuring on shanghai s carbon emissions using stirpat and nsga ii
Sustainable Cities and Society, 2018Co-Authors: Shangguang Yang, Kevin LoAbstract:Abstract The Economic Restructuring of cities has a significant impact on their carbon emissions and is an important pathway to low-carbon development. China is the world’s largest carbon emitter, but few studies provide an in-depth analysis of how Economic Restructuring is affecting carbon emissions at its city level. This study develops a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to analyze the impact of Economic Restructuring on CO2 emissions in Shanghai. The results suggest that Shanghai’s emissions have remained stable post-2007, largely due to the city’s Economic Restructuring in favor of the tertiary sector: every 1% increase in the tertiary sector’s share of GDP is associated with a 0.76% reduction in CO2 emissions. This study also uses a multi-objective genetic algorithm, specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize Economic Restructuring of Shanghai with regard to Economic and climate objectives. The result suggests that Shanghai should aim to reduce the industrial share of gross output from 49.4% in 2012 to 38.3% in 2020. The main conclusion of the study is that Shanghai and, by extension, other Chinese cities, cannot achieve their climate targets without making meaningful changes to the economy geared towards less carbon-intensive activities.
Rene Zenteno - One of the best experts on this subject based on the ideXlab platform.
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Economic Restructuring financial crises and women s work in mexico
Social Problems, 2001Co-Authors: Emilio A Parrado, Rene ZentenoAbstract:This paper contributes to our understanding of the social impact of Economic Restructuring and globalization in Mexico by analyzing changes in entry-level employment across three generations of Mexican women. Using retrospective data, we relate the divergent period conditions represented by each cohort to the process of labor market incorporation and other facets of first employment, namely first occupation, class of worker, and firm size. The analysis tests human capital, new international division of labor, and household strategy explanations of the response of female employment to macro-Economic fluctuations. Results indicate that rising levels of human capital were central to increases in women's labor force participation across generations and improved labor demand conditions during growth cycles were an important impetus for women's incorporation into professional and more formal types of employment. We also find support for international division of labor perspectives, as women's representation in manufacturing (maquiladora) employment grew substantially over time. Overall, household survival theories best captured the effect of Economic Restructuring and globalization on women's work. Economic downturns and financial shocks triggered women's labor market incorporation, particularly among married women, lending strong support to the idea that in periods of Economic uncertainty women join the labor market in order to diversify household earnings and protect against deteriorating family incomes. However, this labor market push was concentrated in domestic and self-employed occupations and in smaller firms, findings that portend challenges to the long-term prospects of women's work in Mexico.
Wei Xu - One of the best experts on this subject based on the ideXlab platform.
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impact of reform and Economic Restructuring on rural systems in china a case study of yuhang zhejiang
Journal of Rural Studies, 2002Co-Authors: Wei XuAbstract:Abstract The purpose of this paper is to investigate the Economic and social impact of rural reform and Economic Restructuring in China. The impact is assessed through a case study of Yuhang, Zhejiang, by focusing on the changing Economic landscape and rural–urban relationship in China during the reform period. While we note that peasant living conditions have been improved, particularly in the 1990s, we argue that such progress has been an outcome of agricultural and industrial production at the household level rather than simply from the rapidly growing township and village enterprises as it is generally believed. In contrast to the macro-level trend, the growing economy has reduced the overall spatial disparity, and produced a fairly even Economic landscape in Yuhang. However, the rise of private industries has caused an Economic gap between social groups, particularly the local entrepreneurs and migrant workers. Participated by both local peasants and outside migrants, urbanization has rapidly penetrated into localities, traditionally referred to as rural, in a “hidden” form, through which people's interactive space is enlarged and villagers become urbanites in activity and behaviour. The reform-induced industrialization and urbanization have also rapidly altered the physical landscape at the local level, as evidenced by the substantial rate of rural housing development, rural to urban migration, and agricultural to non-agricultural land conversion.
Shangguang Yang - One of the best experts on this subject based on the ideXlab platform.
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Analyzing and optimizing the impact of Economic Restructuring on Shanghai’s carbon emissions using STIRPAT and NSGA-II
Sustainable Cities and Society, 2018Co-Authors: Shangguang Yang, Kevin LoAbstract:Abstract The Economic Restructuring of cities has a significant impact on their carbon emissions and is an important pathway to low-carbon development. China is the world’s largest carbon emitter, but few studies provide an in-depth analysis of how Economic Restructuring is affecting carbon emissions at its city level. This study develops a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to analyze the impact of Economic Restructuring on CO2 emissions in Shanghai. The results suggest that Shanghai’s emissions have remained stable post-2007, largely due to the city’s Economic Restructuring in favor of the tertiary sector: every 1% increase in the tertiary sector’s share of GDP is associated with a 0.76% reduction in CO2 emissions. This study also uses a multi-objective genetic algorithm, specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize Economic Restructuring of Shanghai with regard to Economic and climate objectives. The result suggests that Shanghai should aim to reduce the industrial share of gross output from 49.4% in 2012 to 38.3% in 2020. The main conclusion of the study is that Shanghai and, by extension, other Chinese cities, cannot achieve their climate targets without making meaningful changes to the economy geared towards less carbon-intensive activities.
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analyzing and optimizing the impact of Economic Restructuring on shanghai s carbon emissions using stirpat and nsga ii
Sustainable Cities and Society, 2018Co-Authors: Shangguang Yang, Kevin LoAbstract:Abstract The Economic Restructuring of cities has a significant impact on their carbon emissions and is an important pathway to low-carbon development. China is the world’s largest carbon emitter, but few studies provide an in-depth analysis of how Economic Restructuring is affecting carbon emissions at its city level. This study develops a Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to analyze the impact of Economic Restructuring on CO2 emissions in Shanghai. The results suggest that Shanghai’s emissions have remained stable post-2007, largely due to the city’s Economic Restructuring in favor of the tertiary sector: every 1% increase in the tertiary sector’s share of GDP is associated with a 0.76% reduction in CO2 emissions. This study also uses a multi-objective genetic algorithm, specifically the Non-dominated Sorting Genetic Algorithm II (NSGA-II), to optimize Economic Restructuring of Shanghai with regard to Economic and climate objectives. The result suggests that Shanghai should aim to reduce the industrial share of gross output from 49.4% in 2012 to 38.3% in 2020. The main conclusion of the study is that Shanghai and, by extension, other Chinese cities, cannot achieve their climate targets without making meaningful changes to the economy geared towards less carbon-intensive activities.
