Understanding residential segregation in American cities: Interpreting the evidence

A re-examination of the literature on the factors which influence residential segregation in American cities emphasizes the complexity of the factors involved in generating patterns of separation in urban areas and the necessity of considering more than any single factor in order to understand those patterns. In addition, recent on-going research on residential transition, white flight, and the demographics of school attendance area change further emphasizes the declining importance of public and overt private discrimination. Although private discrimination has not been eliminated from society, it cannot be relied on as a total and unambiguous explanation for the patterns that we observe within metropolitan areas. I would like to thank Tony Pascal for his advice and comments.     

Residential segregation in American cities: a review and interpretation

Significant levels of separation between blacks and whites still exist in large American cities, and debate about the causes of that residential separation has been considerable. A balanced analysis of the factors that might explain residential segregation - economic status (affordability), social preferences, urban structure, and discrimination - suggests that no one factor can account for the patterns that have arisen in U.S. metropolitan areas. Empirical estimation of the impact of economic status suggests that 30–70 percent of racial separation is attributable to economic factors. However, economic factors do not act alone, but in association explanatory weight for present residential patterns. Survey evidence from both national and local studies shows that black households prefer neighborhoods that are half black and half white, while whites prefer neighborhoods ranging from 0 to 30 percent black.The debate about causes seems most polarized over the role of discrimination. Although comments in the literature often focus on the past use of racially restrictive covenants by state-regulated agencies and discriminatory acts by realtors and financial institutions, the documented individual cases of discrimination do not appear to be part of a massive collusion to deny housing opportunities to minorities. A review of the evidence from social science investigations demonstrates that there are multiple causes of racial residential separation in U.S. metropolitan areas.An earlier version of this paper was presented to the U.S. Commission on Civil Rights, Washington, D.C., November 12, 1985.     

ECONOMIC DEPENDENCY AND GENDER DIFFERENCES IN LABOR FORCE SECTORAL CHANGE IN NON-CORE NATIONS

This study examines two versions of how economic dependency has affected relative gender positioning in non-core nations' labor forces since the 1960s. A "new dependency" version asserts that multinational corporate investment in manufacturing has transformed the labor forces of such nations, permitting women unusual access to relatively high-paying, if ephemeral, light manufacturing positions. A "traditional trade dependency" version suggests that, despite the aforementioned transformation in some non-core nations, the dominant form of dependency in most remains traditional: they export primary goods in return for manufactured imports. This version claims that such structures not only deter women's entry into the formal labor force as a whole, but constrain those who do enter to relatively marginal agricultural positions. Panel analyses of data on non-core nations evaluates these versions and both receive considerable support.     

Planning at gulf— A case study: Part I—Early developments of planning models

In this first part of the case study the authors introduced the background to the development of the planning models used by the Gulf Company. Both the Linear Programming model and the Sensitivity model are described, with discussion regarding the inter-relationship of these models and the discrete and mutual objectives behind their use.     

Economic dependency and divorce: implications for the private sphere

"This paper asserts a connection between economic dependency and divorce. It argues that, because dependency deprives women of equal access to the public sphere and because it confines them, through normative definition, to the private sphere, it reduces their likelihood of seeking divorce. The paper also argues, contrary to recent findings, that socioeconomic development should be linearly and positively associated with divorce. Data from 51 nations are examined and multiple regression analysis [suggests] considerable support for these arguments."     

Conceptualizing Adoptive Parent Support Groups: A Mixed-Method Process

Indubitably, the process of adopting a young person, no matter the context, can be challenging. To assist adoptive parents in coping with these challenges, entities (e.g., social service/adoption agencies, etc.) have historically fostered the development of support groups. Despite the intent of these efforts, many adoptive parent support groups utilize frameworks that are not congruent with meeting the needs of group participants. This paper examines the process for using Concept Mapping to conceptualize effective support groups based on the perspectives of adoptive parents in one southeastern state.     

Networking towards (in)equality: Women entrepreneurs in technology

Deploying a multidimensional framework focusing on individual, organizational and societal factors, we investigate gendering practices through which women entrepreneurs become disadvantaged in the technology sector. Through qualitative fieldwork, we focus on women entrepreneurs' experiences networking to access valuable entrepreneurial resources and examine the role of technology incubators and accelerators in facilitating this access. These organizations have the potential to mitigate gender inequities by adopting gender‐aware practices such as increasing access to networks and resources that might otherwise be unreachable for women technology entrepreneurs. Focusing simultaneously on the complex intersections of networking, organizational practices at incubators and accelerators, and institutionalized gender norms in society, we outline how different gendering practices work separately and in tandem to marginalize women technology entrepreneurs. We observe that these organizations engage in ‘gender neutral’ recruitment practices and promote transactional networking which result in the replication rather than eradication of gender inequality. Moreover, organizational attempts to address ‘gender issues’ as they relate to technology entrepreneurs re‐inscribe rather than disrupt societal gender norms. Our research offers new insights for understanding the interrelated individual, organizational and societal factors contributing to gender inequality in technology entrepreneurship and provokes discussion on the possibilities for social change.     

A New Approach to Hazardous Materials Transportation Risk Analysis: Decision Modeling to Identify Critical Variables

We take a novel approach to analyzing hazardous materials transportation risk in this research. Previous studies analyzed this risk from an operations research (OR) or quantitative risk assessment (QRA) perspective by minimizing or calculating risk along a transport route. Further, even though the majority of incidents occur when containers are unloaded, the research has not focused on transportation-related activities, including container loading and unloading. In this work, we developed a decision model of a hazardous materials release during unloading using actual data and an exploratory data modeling approach. Previous studies have had a theoretical perspective in terms of identifying and advancing the key variables related to this risk, and there has not been a focus on probability and statistics-based approaches for doing this. Our decision model empirically identifies the critical variables using an exploratory methodology for a large, highly categorical database involving latent class analysis (LCA), loglinear modeling, and Bayesian networking. Our model identified the most influential variables and countermeasures for two consequences of a hazmat incident, dollar loss and release quantity , and is one of the first models to do this. The most influential variables were found to be related to the failure of the container. In addition to analyzing hazmat risk, our methodology can be used to develop data-driven models for strategic decision making in other domains involving risk.     

Does Futures Research have a corporate role?

The author suggests that Futures Research is an indispensible initial step in the Strategic Planning process. For various reasons, including executives' belief that futurism is not “businesslike”, it appears unwarranted to establish a Futures Research group independent of the Strategic Planning department. In view of the repeated and serious predictions of the demise of the corporation, what could be a better Futures Research project than to seek ways of reversing these forecasts?