Negotiating Density and Financing Public Goods in Vancouver and New Taipei City: A Development Rights Perspective

ABSTRACT

This article examines two density-based value-capture mechanisms – community amenity contributions (CAC) in Vancouver, Canada, and transfer of development rights (TDR) in New Taipei City, Taiwan – that planners use to finance public goods. To understand the differences in the design of the mechanisms, negotiating dynamics, actors involved, and types of public goods financed, we propose three perspectives on development rights: absolute ownership, bundle of rights, and public asset. We find that the public asset perspective underpins Vancouver’s CAC, whereas in New Taipei City’s TDR development rights are treated more as a commodity, a concept rooted in the absolute ownership perspective.     

An additive–multiplicative mean model for panel count data with dependent observation and dropout processes

This paper discusses regression analysis of panel count data with dependent observation and dropout processes. For the problem, a general mean model is presented that can allow both additive and multiplicative effects of covariates on the underlying point process. In addition, the proportional rates model and the accelerated failure time model are employed to describe possible covariate effects on the observation process and the dropout or follow‐up process, respectively. For estimation of regression parameters, some estimating equation‐based procedures are developed and the asymptotic properties of the proposed estimators are established. In addition, a resampling approach is proposed for estimating a covariance matrix of the proposed estimator and a model checking procedure is also provided. Results from an extensive simulation study indicate that the proposed methodology works well for practical situations, and it is applied to a motivating set of real data.     

The effects of traffic noise on tadpole behavior and development

Urban Ecosystems - Traffic noise is known to negatively affect many wildlife species by interfering with foraging behavior. Frogs often lay their eggs in roadside ditches because they are...     

Timing it right: Suspicious students,family bonds and becoming a woman in Quito,Ecuador

To improve access to education in Ecuador, state actors encourage parents and youth to think of girls’ emotional bonds to family as potential barriers to schooling. High schoolgirls and their mothers respond by synchronising their institutional and family responsibilities with the emotional norms of age grades such as ‘student youth’ and ‘mother’. Girls dedicated to embodying national progress find themselves trying to delay strong emotional commitments to family until after they have completed their schooling. Examining their construction as emotional suspects reveals the stakes of age expectations for female citizens in Ecuador.     

Do All Activities “Weigh” Equally? How Different Physical Activities Differ as Predictors of Weight

In Britain, it is recommended that, to stay healthy, adults should do 150 minutes of moderate‐intensity physical activity every week. The recommendations provided by the U.K. government, however, remain silent in regard to the type of activity that should be done. Using the annual Health Survey for England we compare how different types of physical activities predict a person's weight. In particular, we consider clinically measured body mass index and waist circumference. We document mean slopes emanating from ordinary least squares regressions with these measures as the dependent variables. We show that individuals who walk at a brisk or fast pace are more likely to have a lower weight when compared to individuals doing other activities. Additionally, we highlight that the association between physical activity and weight is stronger for females and individuals over the age of 50. Our overall conclusions are robust to a number of specifications.     

Do Parenting and Family Characteristics Moderate the Relation between Peer Victimization and Antisocial Behavior? A 5‐year Longitudinal Study

Past research has demonstrated that relationships with peers and parents play salient roles in various child outcomes. However, little research has examined the confluence of these two factors in the context of peer victimization. In particular, little is known about which family and parental factors mitigate or intensify the impact of adverse peer relations. The current study bridged this gap by testing whether maternal support and family conflict moderated the association between peer victimization and antisocial behavior. Moderation effects were found for girls but not boys. Cross‐lagged path analyses of nationally representative longitudinal data (N = 1046; 53 percent boys; Time 1: M_age = 10.7) showed that, among girls, higher levels of maternal warmth and mother–child communication significantly attenuated the link between early peer victimization and later antisocial outcomes. By contrast, greater family conflict significantly increased antisocial outcomes among girls who experienced peer victimization. For boys, early peer victimization significantly predicted antisocial outcomes, regardless of parenting and family factors. All findings remained significant even after controlling for preexisting antisocial tendencies and demographic factors, as well as for the stability of victimization in the model.     

Thirty Years of Lottery Public Health Research: Methodological Strategies and Trends

Cognitive measurement techniques, such as self-reports of behavior and reaction time measures, largely dominate the field of psychological research. It is uncommon for researchers to examine a phenomenon of interest by observing actual behavior within natural settings. To illustrate the existence of this methodological trend for gambling research, this article reviews systematically selected samples of the peer-reviewed literature related to lottery gambling in general and the literature related to pathological gambling and lottery more specifically. The results indicate that self-report surveys dominate the extant lottery literature, and experimental investigations of video lottery terminal gambling supplement those papers. This landscape encourages researchers to expand their methodological approaches to the study of lottery gambling. Currently, we know more about what research participants tell us they do with respect to lottery gambling than we do about their real-life lottery gambling behavior.     

Development and Validation of a Multidimensional Measure of Family Supportive Supervisor Behaviors (FSSB)

Due to growing work-family demands, supervisors need to effectively exhibit family supportive supervisor behaviors (FSSB). Drawing on social support theory and using data from two samples of lower wage workers, the authors develop and validate a measure of FSSB, defined as behaviors exhibited by supervisors that are supportive of families. FSSB is conceptualized as a multidimensional superordinate construct with four subordinate dimensions: emotional support, instrumental support, role modeling behaviors, and creative work-family management. Results from multilevel confirmatory factor analyses and multilevel regression analyses provide evidence of construct, criterion-related, and incremental validity. The authors found FSSB to be significantly related to work-family conflict, work-family positive spillover, job satisfaction, and turnover intentions over and above measures of general supervisor support.     

Marginal methods for clustered longitudinal binary data with incomplete covariates

Many analyses for incomplete longitudinal data are directed to examining the impact of covariates on the marginal mean responses. We consider the setting in which longitudinal responses are collected from individuals nested within clusters. We discuss methods for assessing covariate effects on the mean and association parameters when covariates are incompletely observed. Weighted first and second order estimating equations are constructed to obtain consistent estimates of mean and association parameters when covariates are missing at random. Empirical studies demonstrate that estimators from the proposed method have negligible finite sample biases in moderate samples. An application to the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (UDS) demonstrates the utility of the proposed method.