The Effect of Risk Beliefs on Property Values: A Case Study of a Hazardous Waste Site1

Health risk beliefs of homeowners near a landfill site were assessed in a survey and compared to expert judgments of the health risks of living near the site. A bimodal distribution of health risk beliefs suggested sharp disagreement between the experts and at least some of the residents. Correlates of high risk beliefs included perception of odor from the site, exposure to media coverage of the problem, having children living at home, age (younger respondents more concerned), and gender (females more concerned). An aggregated neighborhood health risk belief predicted reductions in home prices even after controlling for home physical characteristics, such as size and other disamenities such as proximity to a freeway. In the 4100 homes near the site, the estimated depression in property values was estimated to total about $40.2 million before the site was closed and to be about $19.7 million after closure. Implications of these results for community conflict and for benefit-cost analysis of hazard site remediation are discussed.     

New technology and the value-based management of transformational leadership

New technology is calling on people to provide adaptive responses in situations where there are many exceptions or where a high degree of variability exists or where people provide linkages between programmable segments. Further, groups of people who are geographically dispersed and unacquainted with each other will work together to solve business problems or define a process and will then disband when the job is done. Thus, the general model of responsible autonomous job behavior becomes the key facet of individual-organization-technological relationships. It is suggested that this model is best activated by the empowerment of people through the value-based management of transformational leadership.     

Assessing the influence of regional Environmental Protection Agency offices on state hazardous waste enforcement decisions

In assessing the influence of regional Environmental Protection Agency EPA offices on the state management of hazardous waste programs, we focused on the extent to which federal administrative decisions affect levels of enforcement activity by state environmental agencies and whether these effects vary over time. Our results indicated that state enforcement actions were affected by state program capacity variables such as primacy and the strength of existing hazardous waste policies as well as one federal-level factor—the distribution of grant monies. The impact of federal oversight decisions was minimal.     

The selection of zero-non-zero patterned cointegrating vectors in error-correction modelling

An effective and efficient search algorithm has been developed to select from an 1(1) system zero-non-zero patterned cointegrating and loading vectors in a subset VECM, B^q(l)y(t-1) + B^q-1 (L)Ay(t) = ε( t ) , where the long term impact matrix Bq(l) contains zero entries. The algorithm can be applied to higher order integrated systems. The Finnish money-output model presented by Johansen and Juselius (1990) and the United States balanced growth model presented by King, Plosser, Stock and Watson (1991) are used to demonstrate the usefulness of this algorithm in examining the cointegrating relationships in vector time series.     

No associative biases in the first name cued recall procedure for eliciting personal networks

One thousand five hundred twenty-five respondents from a representative sample of adult residents of the state of Florida (USA) participated in a telephone survey on personal networks (McCarty et al., 1995). McCarty et al. (1995) elicited samples of alters from respondents' personal network with a first name cued recall interview procedure. This paper reports an assessment of associative biases involved with this technique in a further evaluation of the representativeness of the alter samples elicited with this method. Associative biases would be present if successively recalled alters are more likely to know each other or belong to the same social context (e.g., work, family, school) than alters not recalled successively. Such biases, if present, could influence the characteristics, and thus the representativeness, of the set of alters elicited, such as the density of ties. Analyses indicate that there are no associative biases in the first name cued recall procedure. Future research should investigate the possibility of associative biases in other methods for eliciting personal networks.     

Levels of analysis,theoretical orientations and degrees of abstraction

This article suggests that what often appear to be fundamental conflicts of opinion among sociologists regarding appropriate levels of analysis and theoretical orientations are much less problematic when considered in terms of differences in degrees of abstraction. The critical factor in the compatibility of various levels of analysis and theoretical orientation is the use of degrees of abstraction by the researcher. The impact of this issue on sociological knowledge and some of its applications are examined. Pat Lauderdale is professor of justice and adjunct professor of law at Arizona State University and is completing a book on social conflict and disputes. Steven D. McLaughlin is the director of Battelle’s Health and Populations Research Center in Seattle and presently is conducting research on adolescent fertility and educational attainment. Annamarie Oliverio has completed graduate work in political science and criminology at Simon Fraser University and currently is working on her doctoral dissertation at Arizona State University.