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Racial and Ethnic Integration in U.S. Metropolitan Neighborhoods: Patterns, Complexities and Consequences

Karafin, Diana Leilani
http://rave.ohiolink.edu/etdc/view?acc_num=osu1249592358

Abstract Details

2009, Doctor of Philosophy, Ohio State University, Sociology.
In my dissertation, I problematize the current framing and understanding of U.S. racial and ethnic neighborhood integration in an increasingly heterogeneous society. Research questions and analyses are shaped by contemporary race theories which emphasize how societal systems, structures, and racial ideologies condition institutions, outcomes, and a shifting U.S. racial order (Bonilla-Silva 2004; Mills 2004; Omi and Winant 1994). I examine the often implied, yet rarely empirically validated, proposal that long-term racial and ethnic neighborhood integration is a primary remedy for the inequities and deleterious consequences associated with racial residential segregation. I construct a descriptive and analytical national portrait of the patterns and socioeconomic consequences of metropolitan neighborhood integration between 1980 and 2000. I extend existing research by illuminating national patterns that account for Latinos as well as Blacks and Whites, and by directly comparing neighborhood and group-level socioeconomic advantage/disadvantage for a range of integrated and homogenous neighborhood types. Most importantly, I explicitly examine whether Blacks and Latinos residing in durable integrated contexts appear to be meaningfully more advantaged than those situated in long-term, predominantly minority communities. Using data for neighborhoods embedded within metropolitan contexts from the Neighborhood Change Database, I use a racial/ethnic neighborhood integration typology which more fully incorporates differential combinations of Latinos, Blacks, Whites, and Others in neighborhoods than heretofore employed. I find vast differentiation in the frequency, stability, and paths of change among various types of integrated and homogenous contexts. Hierarchical multinomial models demonstrate that the most advantaged integrated contexts were the least stable and the most likely to transition to all White neighborhoods. In contrast, the most disadvantaged integrated contexts were the most stable, with those that do change being more likely to transition to predominantly Black or Latino contexts. Finally, I demonstrate that the average level of Black advantage in stable White-Black neighborhoods was significantly less than the average level for those in long-term Black neighborhoods. In contrast, Latinos had higher levels of advantage in racially stable White-Latino neighborhoods compared to those in stable majority Latino neighborhoods. Overall, my results underscore the problematic nature of making a single generalization of stable racial and ethnic integration as a “success story.”
Lauren J. Krivo (Advisor)
Vincent J. Roscigno (Committee Member)
Rachel E. Dwyer (Committee Member)
Sociology
neighborhood integration; racial and ethnic neighborhood change

Recommended Citations

Citations

  • Karafin, D. L. (2009). Racial and Ethnic Integration in U.S. Metropolitan Neighborhoods: Patterns, Complexities and Consequences [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1249592358

    APA Style (7th edition)

  • Karafin, Diana. Racial and Ethnic Integration in U.S. Metropolitan Neighborhoods: Patterns, Complexities and Consequences. 2009. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1249592358.

    MLA Style (8th edition)

  • Karafin, Diana. "Racial and Ethnic Integration in U.S. Metropolitan Neighborhoods: Patterns, Complexities and Consequences." Doctoral dissertation, Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1249592358

    Chicago Manual of Style (17th edition)

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This open access ETD is published by The Ohio State University and OhioLINK.