지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.2
- 수록면
- 43 - 65 (23page)
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초록· 키워드
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This paper explores the impact of aggregating Asian nationality groups within the United States on the dissimilarity index, a commonly used measure of distributional unevenness and segregation within ethnic geography and demography. Most use of the index combines all Asian groups together when comparing their level of segregation within the USA to other minority groups, such as blacks and Hispanics. The article argues that this aggregating convention is deeply problematic. I make this argument in part by comparing an aggregated and four disaggregated Asian groups (Korean, Chinese, Japanese, and Filipino) through five quantitative, empirical explorations using US Census data: 1) temporal trends since 1970; 2) the role of different areal units, disaggregated by spatial scale; 3) variation of dissimilarity-index values by both regional size and percentage of minority group; 4) regression analysis of various independent variables that contribute to variation in dissimilarity-index values; and 5) mapping the variation of these values by US state. In addition, I demonstrate that, because of the phenomenon of ecological correlation, an aggregated Asian-dissimilarity-index value will almost always misrepresent the values of the individual, disaggregated Asian groups.
목차
Abstract
1. Introduction
2. The Dissimilarity Index and the Tendency to Aggregate Asians
3. Four East Asian Ethnic Groups in the United States
4. To Aggregate or Disaggregate?
5. Discussion and Conclusion
References
참고문헌 (58)
참고문헌 신청
Aspinall, P. J., 2003, Who is Asian? A category that remains contested in population and health research, Journal of Public Health Medicine, 55(2), 91-97.
Aspinall, P. J., 2005, The operationalization of race and ethnicity concepts in medical classification systems: issues of validity and utility, Health Informatics Journal, 11(4), 259-274.
Aspinall, P. J., 2009, The future of ethnicity classifications, Journal of Ethnic and Migration Studies, 35(9), 1417- 1437.
Brown, L. A. and Chung, S.-Y., 2006, Spatial segregation, segregation indices and the geographical perspective, Population, Space and Place, 12, 797-817.
Catney, G., 2017, Towards an enhanced understanding of ethnic group geographies using measures of clustering and unevenness, The Geographical Journal, 183, 71-83.
Aspinall, P. J., 2005, The operationalization of race and ethnicity concepts in medical classification systems: issues of validity and utility, Health Informatics Journal, 11(4), 259-274.
Aspinall, P. J., 2009, The future of ethnicity classifications, Journal of Ethnic and Migration Studies, 35(9), 1417- 1437.
Brown, L. A. and Chung, S.-Y., 2006, Spatial segregation, segregation indices and the geographical perspective, Population, Space and Place, 12, 797-817.
Catney, G., 2017, Towards an enhanced understanding of ethnic group geographies using measures of clustering and unevenness, The Geographical Journal, 183, 71-83.
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UCI(KEPA) : I410-ECN-0101-2020-981-000409972