Topic
Metropolitan area
About: Metropolitan area is a research topic. Over the lifetime, 26029 publications have been published within this topic receiving 385648 citations. The topic is also known as: metro & metro area.
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TL;DR: In this paper, Essletzbichler et al. investigated the role of industry relatedness for regional economic development in 360 US metropolitan areas and found that technological relatedness is positively related to metropolitan industry portfolio membership and industry entry and negatively related to industry exit.
Abstract: Essletzbichler J. Relatedness, industrial branching and technological cohesion in US metropolitan areas, Regional Studies. Work by evolutionary economic geographers on the role of industry relatedness for regional economic development is extended into a number of methodological and empirical directions. First, relatedness is measured as the intensity of input–output linkages between industries. Second, this measure is employed to examine industry evolution in 360 US metropolitan areas. Third, an employment-weighted measure of metropolitan technological cohesion is developed. The results confirm that technological relatedness is positively related to metropolitan industry portfolio membership and industry entry and negatively related to industry exit. The decomposition of technological cohesion indicates that the selection of related incumbent industries complements industry entry and exit as the main drivers of change in metropolitan technological cohesion.
235 citations
TL;DR: Results indicated that urbanization has accelerated at an unprecedented scale and rate during the study period, leading to a considerable reduction in the area of farmland and green land, and Rapid urban expansion through clearing of vegetation has led to a wide range of eco-environmental degradation.
Abstract: This study explored the spatio-temporal dynamics and evolution of land use/cover changes and urban expansion in Shanghai metropolitan area, China, during the transitional economy period (1979–2009) using multi-temporal satellite images and geographic information systems (GIS). A maximum likelihood supervised classification algorithm was employed to extract information from four landsat images, with the post-classification change detection technique and GIS-based spatial analysis methods used to detect land-use and land-cover (LULC) changes. The overall Kappa indices of land use/cover change maps ranged from 0.79 to 0.89. Results indicated that urbanization has accelerated at an unprecedented scale and rate during the study period, leading to a considerable reduction in the area of farmland and green land. Findings further revealed that water bodies and bare land increased, obviously due to large-scale coastal development after 2000. The direction of urban expansion was along a north-south axis from 1979 to 2000, but after 2000 this growth changed to spread from both the existing urban area and along transport routes in all directions. Urban expansion and subsequent LULC changes in Shanghai have largely been driven by policy reform, population growth, and economic development. Rapid urban expansion through clearing of vegetation has led to a wide range of eco-environmental degradation.
233 citations
16 Dec 2003
TL;DR: The authors examined the relationship between the author's measures of diversity and tolerance and high-technology success in the 50 most populated metropolitan areas in the United States and found that the relationship was not as strong as the author claimed.
Abstract: This study examines the relationship between the author's measures of diversity and tolerance and high-technology success in the 50 most populated metropolitan areas in the United States.
233 citations
TL;DR: To compare the prevalence of mental health disorders and the use of professional help by area of residence, age and sex, and to determine whether the differences parallel differences in suicide rates.
Abstract: OBJECTIVES: To compare the prevalence of mental health disorders and the use of professional help by area of residence, age and sex; and to determine whether the differences parallel differences in suicide rates. DESIGN: Retrospective cross-sectional analysis of Australian national mortality data (1997-2000) and the National Survey of Mental Health and Wellbeing (1997), using broad area-of-residence classifications based on the Rural, Remote and Metropolitan Area (RRMA) index. MAIN OUTCOME MEASURES: (a) Suicide rates; (b) prevalence of depression, anxiety and substance-use disorders; and (c) use of health professionals for mental health problems - by age, sex and area of residence. RESULTS: Higher suicide rates were evident for men, particularly young men in rural (40.4 per 100 000; z, 3.2) and remote (51.7 per 100 000; z, 7.2) populations compared with metropolitan (31.8 per 100 000) populations. Although the proportion of young men reporting mental health disorders did not differ significantly between rural (23.5%; z, -0.5) and remote (18.8%; z, -1.6) areas compared with metropolitan (25.6%) areas, young men with a mental health disorder from non-metropolitan areas were significantly less likely than those from metropolitan areas to seek professional help for a mental health disorder (11.4% v 25.2%; z, -2.2). CONCLUSIONS: There is a need to investigate why young men in non-metropolitan areas, the population with the greatest suicide risk, do and do not engage with mental health services.
232 citations