Author
Hyunsu Oh
Bio: Hyunsu Oh is an academic researcher from University of California, Merced. The author has contributed to research in topics: Gentrification & Metropolitan area. The author has an hindex of 1, co-authored 3 publications receiving 4 citations.
Papers
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TL;DR: Research on crime and neighborhood racial composition establishes that Black neighborhoods with high levels of violent crime will experience an increase in Black residents and concentrated disadvan... as discussed by the authors, which is consistent with our findings.
Abstract: Research on crime and neighborhood racial composition establishes that Black neighborhoods with high levels of violent crime will experience an increase in Black residents and concentrated disadvan...
9 citations
TL;DR: In this article , the authors measured the level of physical disorder in a Google Street View survey and found that high-income people move into these neighbourhoods, and the signs of disorder should dissipate.
Abstract: ABSTRACT The “broken windows” hypothesis has led to millions of citizen/police encounters through aggressive enforcement of minor infractions. Despite extensive research on the relationship between broken windows and crime, there is less research on whether police officers focus on areas with broken windows, and the few studies that exist have mixed findings. Another set of studies finds high levels of policing in gentrifying neighbourhoods. On the one hand, then, studies show there is more policing in neighbourhoods with visible signs of disorder as police departments that adhere to the tenets of broken windows policing would be likely to send officers to patrol areas with broken windows, litter, and unkempt lawns in an effort to prevent crime in these areas. On the other hand, as high-income people move into these neighbourhoods, the signs of disorder should dissipate. This raises the question: Is there more policing in neighborhoods with signs of physical disorder or in neighbourhoods with signs of reinvestment? We measure this using three data sources: 1) an original housing survey using Google Street View that evaluates the level of physical disorder; 2) geocoded data from the Washington, DC Metropolitan Police Department on stop and frisks; and 3) Census and ACS data on population characteristics. These data allow us to answer our research questions: Are residents more likely to be stopped and frisked in neighbourhoods with high levels of physical disorder? Or, conversely, are residents more likely to be stopped and frisked in neighbourhoods experiencing an in-migration of middle-class residents?
2 citations
24 Oct 2018
TL;DR: The positive influence of institutional supports from social networks on psychological well-being of immigrants is extensively acknowledged in the literature as discussed by the authors, however, immigration experiences outsi..., but it is difficult to quantify the impact of institutional support on immigrants.
Abstract: The positive influence of institutional supports from social networks on psychological well-being of immigrants is extensively acknowledged in the literature. However, immigration experiences outsi...
1 citations
TL;DR: This paper explored the association between discriminatory experiences and self-reported health status among Asian populations in the USA and its subethnic group variation using distinct measures for racial microaggressions and discrimination.
Abstract: Purpose Using distinct measures for racial microaggressions and discrimination, this article explored the association between discriminatory experiences and self-reported health status among Asian populations in the USA and its subethnic group variation. Methods This article investigated 4393 Asian American adults from the 2016 Post-Election National Asian American Survey (NAAS). Binary measure of self-reported health (not good/good) was accounted for. Two measures of racial microaggressions included (1) verbal microaggression and (2) behavioral microaggression. Two measures of discrimination encompassed (1) workplace discrimination and (2) institutional racism. Ethic groups were classified to (1) East Asian (n=1491), (2) Southeast Asian (n=1758), or (3) South Asian (n=1144). Results Findings from logistic regression analyses showed that increased workplace discrimination and institutional racism yielded decreased odds of reporting good health status. The association between racial microaggressions, discrimination, and self-reported health status varied across ethnic subgroup, indicating that the verbal aggression score was more predictive for the East Asian group while institutional racism was most harmful to Southeast Asians. Discussion Findings highlighted the racialized interpretation and its variations in self-reported health status among Asian populations. Relating to variations in experiences of racialization and attainment of socioeconomic status, disproportionate relationships of discriminatory experiences and health among Asian populations were further discussed.
TL;DR: In this article , the association between racial capitalism and neighborhood-level health disparities, with a particular focus on COVID-19 in California, was explored, and it was shown that a greater income disadvantage for racial minorities is connected to a more COVID19 incidence.
Abstract: This article explores the association between racial capitalism and neighborhood-level health disparities, with a particular focus on COVID-19 in California.This article investigates COVID-19 incidence in 58 California counties. To account for racial capitalism, the study looks at the per capita incomes ratios (1) between whites and Blacks and (2) between whites and Hispanics. Other county-level neighborhood characteristics were controlled.Findings from spatial autoregressive models indicate that increases in white-Black and white-Hispanic income disadvantages lead to an increase in COVID-19 incidence in 58 California counties. Findings also reveal that the disadvantage that results from the white-Black income ratio in COVID-19 spread decreases in counties that report high levels of income inequality between whites and Hispanics.Findings indicate that a greater income disadvantage for racial minorities is connected to a more COVID-19 incidence. With regard to racial demographics in California, the interaction effect between measures for racial income disadvantages is discussed.
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81 citations
TL;DR: Hristov as mentioned in this paper unpacks the black box of paramilitarism in Colombia and illuminates the relationship between processes of violence, capital accumulation, and deepening socioeconomic inequalities.
Abstract: ical claims—such as her statement that paramilitaries have been responsible for the majority of murders, tortures, and forced disappearances of civilians (p. 3)—that, while correct, leave the reader no other option but to trust the author. Last, she makes an insufficient case for her argument that paramilitarism is inextricably intertwined with global processes of capital accumulation. While the author touches on the matter, writing about the transnationalization of the Colombian state (Chapter 5), she could have argued this point in greater depth. Perhaps this could be a point of departure for further investigations on the relationship between paramilitarism and global capitalism. Nonetheless, these weaknesses do not overshadow Hristov’s contributions to sociological debates. This book unpacks the black box of paramilitarism in Colombia and illuminates the relationship between processes of violence, capital accumulation, and deepening socio-economic inequalities. In doing so, the book deals with issues that are at the heart of sociology and poses some of the discipline’s greatest questions regarding structural income inequalities, varieties and consequences of capitalism, the origins and impacts of war and violence, and the role of the state and elites in processes of social transformation.
32 citations
TL;DR: In this article, the authors argue that "academics largely define gentrification based on changes in the class demographics of neighborhood residents from predominately low-income to middle-class".
Abstract: Academics largely define gentrification based on changes in the class demographics of neighborhood residents from predominately low-income to middle-class. This ignores that gentrification always o...
28 citations
TL;DR: In this article , a survey of Hurricane Katrina survivors, tract-level health estimates from the 500 Cities Project, and tractlevel census data was used to assess the relationship of gentrification with self-reported physical and mental health, controlling for four measures of neighborhood collective resources.
Abstract: Abstract The relationship of neighborhood conditions with health outcomes has been well documented, but less is known about importance of neighborhood change. Research that examined the relationship of gentrification with health outcomes produced mixed results, but only a few studies were able to examine the role of local social capital as a potential moderating influence. Using a survey of Hurricane Katrina survivors, tract-level health estimates from the 500 Cities Project, and tract-level census data, we assess the relationship of gentrification with self-reported physical and mental health, controlling for four measures of neighborhood collective resources in post-Katrina New Orleans, Louisiana. Our findings indicate rates of poor self-rated physical and mental health were higher in neighborhoods that experienced gentrification and that other neighborhood changes may function to dampen the impacts of gentrification on health outcomes. Our results underscore the importance of considering local community characteristics in evaluating the relationship of gentrification with health.
2 citations
01 Jan 2018
TL;DR: In this paper, the authors used data on over 2200 house sales in inner-city Houston, TX to estimate the impact of crime on house prices and found that crime does have a measurable impact on home sale price and that proximity of crime is important.
Abstract: This research used data on over 2200 house sales in inner-city Houston, TX to estimate the impact of crime on house prices. A GIS was used to tabulate home sale data from the MLS, neighborhood characteristics and crime data published by the Houston Police Department. Hedonic Pricing Models were built to assess how crime effects housing price and if proximity to the criminal event matters. Results show that crime does have a measurable impact on home sale price and that proximity of crime is important. An increase in number of violent criminal events leads to a discount in home price. An increase in all criminal events (violent and non-violent) leads to an increase in home price, suggesting a dichotomy in how/when crime is reported to police.
1 citations