Self-care strategy of elderly Korean immigrants in the Washington DC Metropolitan Area

1996 ◽  
Vol 11 (3) ◽  
pp. 229-254 ◽  
Author(s):  
Keum Young Chung Pang
Keyword(s):  
Metropolitan Area ◽  
Self Care ◽  
Korean Immigrants ◽  
Washington Dc ◽  
Elderly Korean Immigrants

scholarly journals Social networks and alcohol consumption among first generation Chinese and Korean immigrants in the Los Angeles metropolitan area

2014 ◽  
Vol 3 (4) ◽  
pp. 245-255
Author(s):  
C. Richard Hofstetter ◽  
John D. Clapp ◽  
Jon-Patrick Allem ◽  
Suzanne C. Hughes ◽  
Yawen Li ◽  
...  
Keyword(s):  
Social Networks ◽  
Los Angeles ◽  
Alcohol Consumption ◽  
Metropolitan Area ◽  
First Generation ◽  
Korean Immigrants ◽  
Dual Frame ◽  
Sampling Frame ◽  
Telephone Interviews ◽  
Chinese Origin

Hofstetter, C., Clapp, J., Allem, J., Hughes, S., Li, Y., Irvin, V., Daly, A., Kang, S., & Hovell, M. (2014). Social networks and alcohol consumption among first generation Chinese and Korean immigrants in the Los Angeles metropolitan area. The International Journal Of Alcohol And Drug Research, 3(4), 245-255. doi:http://dx.doi.org/10.7895/ijadr.v3i4.188Aims: To test hypotheses involving mechanisms of reinforcement of alcohol behaviors operating in social networks.Design: Telephone interviews conducted by professional interviewers in Mandarin or Korean or English with first generation Chinese (from Mainland or Taiwan) and Korean immigrants residing using a dual frame stratified sampling design. Combined probability and non-probability approaches for sampling due to the widespread use of cell phones. Interviews were conducted in language of preferences with over 95% of interviews in Korean or Mandarin.Setting: Residents of three counties with the largest proportions of eligible residents (Los Angeles, Orange, and San Bernardino) were included.Participants: Adult residents (21 and over) stratified by gender who could be reached by telephone constituted the sample.Measures: Measures included frequency/amount alcohol consumption drawn from NIAAA standard, a “relax, socialize, have fun with” name generator was used to identify alters. Reinforcers within networks were measured by participant reports of amount of alter drinking, drunkenness, and encouragement to drink, acculturation, and demographic variables were measured by self report.Findings: Using a random effects approach and controlling for other variables, including drinking in the network, acculturation, Korean/Chinese origin, and demographics, source of immigration, network context, as was and sampling frame, encouragement to drink in the network was related to drinking (P<.05).Conclusions: Studies of social networks in relation to health behaviors should include measures of actions within networks, especially reinforcers of behaviors, in order to understand the functioning and consequences of networks.

scholarly journals Settlement Patterns of Korean Immigrants in the Toronto Census Metropolitan Area (DMA)

2021 ◽  
Author(s):  
Colin Chungshik Kang
Keyword(s):  
Metropolitan Area ◽  
Settlement Patterns ◽  
Korean Immigrants ◽  
Employment Rate ◽  
Ethnic Economy ◽  
Self Employment ◽  
Income Data ◽  
Census Metropolitan Area ◽  
High Level ◽  
Transnational Activities

This paper focuses on settlement patterns of Korean immigrants in the Toronto Census Metropolitan Area (CMA) highlighting their high self-employment rate and active transnational activities. The objectives for the paper are to explore various causes of a high level of self-employment rate among Korean immigrants, and to examine settlement patterns of Korean immigrants in the Toronto CMA by reviewing their immigration data, employment income and self-employment income data, residential locations, ethnic economy and human capital, and to understand how their active transnational activities combined with the factors listed above affected their settlement and integration experiences in Canada as they are inter-connected with various social and economic fabrics of the Korean community in the Toronto CMA.

Impacts of Rail Transit Accessibility on Firm Spatial Distribution: Case Study in the Metropolitan Area of Washington, DC

2019 ◽  
Vol 2673 (11) ◽  
pp. 220-232
Author(s):  
Hiroyuki Iseki ◽  
Hyunjoo Eom
Keyword(s):  
Metropolitan Area ◽  
Industrial Development ◽  
Public Transit ◽  
Agglomeration Economies ◽  
Rail Transit ◽  
Washington Dc ◽  
Transit Oriented Development ◽  
Industry Agglomeration ◽  
Positive Effects ◽  
Agglomeration Effects

Agglomeration economies can arise in areas with high concentrations of firms, which can be facilitated by improved transportation accessibility. Accessibility can be improved by public transit infrastructure, especially in combination with careful planning for transit-oriented development (TOD) that creates compact, high density, mixed-use, and pedestrian-friendly built environments in proximity to public transit infrastructure. Although the literature on TOD has increasingly shown positive effects on residential development and property values, its effects on commercial and industrial development, location of firms, and associated agglomeration economies are less clear and require more empirical study. This study analyzes firm location patterns by industry/sector in the metropolitan area of Washington, DC and examines whether significant spatial clusters have developed in relation to: 1) the presence of Metrorail stations; and 2) the presence of specific industry firms in the earlier year, using kernel density analysis and multinomial logit (MNL) regression. The analysis results indicated that firms in certain industries, such as finance and insurance/real estate and public administration, are more likely to benefit from proximity to Metrorail stations than other industries. Furthermore, firms in several industries show the effects of agglomeration within the same industry while several combinations of industries exhibit cross-industry agglomeration effects. The findings of this study contribute to the understanding of which industry sectors are more likely to be located in proximity to rail transit stations and TOD areas and to the understanding of agglomeration effects within the same industry and between different industries.

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