The Use of Frames Analysis in Evaluating Capacity‐Building in Local Coastal Programs in Louisiana*

Abstract Frames theory has been widely used to explain the dynamics of group processes and decision‐making. Some researchers have applied frames theory to policy adoption and implementation. Following from this, my research applies frames analysis to a regulatory program in coastal Louisiana. The data derive from a pre‐Hurricane Katrina study of the effectiveness of Louisiana's Coastal Resources Program in building coastal zone management (CZM) capacity among local decision‐makers. In this paper, I examine the potential influence of three independent variables (Local Coastal Program development, type of respondent, and frequency of coastal zone management interaction) on the level of agreement with regulator frame ideology. The frames analysis shows that parishes with Local Coastal Programs (LCPs) have a significantly stronger presence of regulator framing than do parishes without LCPs. Among the three types of decision‐makers (CZM administrators/staff, CZM advisory panel members and parish council or police jury) regulator frame agreement is particularly strong among advisory panel members, while agreement with regulator frames is lowest among parish council or police jury officials. Respondents reporting more CZM interaction exhibit higher levels of regulator frame agreement. OLS regression shows that the conditions of having an LCP, or being a panel member and having greater frequency of CZM interactions significantly increase the likelihood of regulator framing. These findings demonstrate the importance of the LCP process in the shaping of frames congruent with lead agency ideology.     

Say on Pay: Ein Überblick über Gestaltungsoptionen, ökonomische Konsequenzen und Erkenntnisse aus Empirie und Laborexperimenten

Most countries of the European Union as well as the US recently introduced shareholder votes on the remuneration of executives, also referred to as “Say on Pay” (SoP). Interestingly, legislators in different jurisdictions opted for quite dissimilar voting right regimes. We provide an overview of the main regulatory approaches and discuss the potential impact of variations in SoP design on the structure of compensation contracts and the utility of shareholders and executives. We find that pre-contractual SoP and conditional post-contractual SoP with binding consequences are in the best interest of shareholders. By contrast, advisory SoP typically suffers from lacking enforceability. We also find that post-contractual SoP with binding consequences results in efficiency losses because it fuels moral hazard on the part of shareholders. We complement the theoretical analysis with a discussion of recent empirical and experimental studies on Say on Pay.     

Assessment of the Effect of Population and Diary Sampling Methods on Estimation of School‐Age Children Exposure to Fine Particles

Population and diary sampling methods are employed in exposure models to sample simulated individuals and their daily activity on each simulation day. Different sampling methods may lead to variations in estimated human exposure. In this study, two population sampling methods (stratified‐random and random‐random) and three diary sampling methods (random resampling, diversity and autocorrelation, and Markov‐chain cluster [MCC]) are evaluated. Their impacts on estimated children's exposure to ambient fine particulate matter (PM_2.5) are quantified via case studies for children in Wake County, NC for July 2002. The estimated mean daily average exposure is 12.9 μg/m³ for simulated children using the stratified population sampling method, and 12.2 μg/m³ using the random sampling method. These minor differences are caused by the random sampling among ages within census tracts. Among the three diary sampling methods, there are differences in the estimated number of individuals with multiple days of exposures exceeding a benchmark of concern of 25 μg/m³ due to differences in how multiday longitudinal diaries are estimated. The MCC method is relatively more conservative. In case studies evaluated here, the MCC method led to 10% higher estimation of the number of individuals with repeated exposures exceeding the benchmark. The comparisons help to identify and contrast the capabilities of each method and to offer insight regarding implications of method choice. Exposure simulation results are robust to the two population sampling methods evaluated, and are sensitive to the choice of method for simulating longitudinal diaries, particularly when analyzing results for specific microenvironments or for exposures exceeding a benchmark of concern.     

Gender-Specific Barriers to Self-Sufficiency Among Former Supplemental Security Income Drug Addiction and Alcoholism Beneficiaries: Implications for Welfare-To-Work Programs and Services

ABSTRACT

This study examines barriers to economic self-sufficiency among a panel of 219 former Supplemental Security Income (SSI) drug addiction and alcoholism (DA&A) recipients following elimination of DA&A as an eligibility category for SSI disability benefits. Study participants were comprehensively surveyed at six measurement points following the policy change. Generalized estimating equations were used to examine full-sample and gender-specific barriers to economic self-sufficiency. Results indicate that access to transportation, age, and time are the strongest predictors of achieving self-sufficiency for both men and women leaving the welfare system. Gender-specific barriers are also identified. Future research needs to assess the generalizability of these results to other public assistance recipients.     

The careful balance of gender and sexuality: rural gay men, the heterosexual matrix, and "effeminophobia"

Based on life narratives, this article explores rural gay men's subjectivity in France and the United States. After growing up in rural cultures, these gay men tend to adopt similar hetero-centered ideas about masculinity. We show that these "conventional" ideas impact their sense of self as they express feelings of "effeminophobia." They differentiate themselves from effeminate gay men and emphasize their similarities with straight men. These ideas are both coercive and disciplinary as they homogenize rural gay men's discourse and masculine identities.     

Life cycle emission distributions within the economy: implications for life cycle impact assessment.

Refinements of methods for life cycle impact assessment (LCIA) are directed at removing unjustified simplifications and quantifying and reducing uncertainties in results. The amount of uncertainty reduction that is actually achieved through LCIA method refinement depends on the structure of the life cycle inventory model. We investigate the general structure of inventory models using an economic input/output (I/O) life cycle assessment model of the U.S. economy. In particular, we study the results of applying a streamlining algorithm to the I/O LCA model. The streamlining algorithm retains only those "branches" of the process tree that are jointly required to account for a specified fraction of the total impacts upstream of each point in the tree. We examine the implications of these "tree pruning" results for site-informed LCIA. Percentiles are presented for U.S. commodities and several important pollutants, for the share of total upstream emissions contributed by the set of processes in each supply tier, that is, each set of processes that directly supply inputs to another set of processes Capturing at least 90% of the total direct plus upstream emissions for criteria air pollutants and toxic releases for at least 75% of the commodities in the U.S. economy requires full modeling of direct emissions plus the first five supply tiers. The requirements for capturing a high percentage (e.g., >80%) of total emissions vary widely across products or commodities. To capture more than 60% of total emissions for more than half of all commodities requires models with more than 4,000 process instances. To well characterize the total impacts of products, life cycle impact assessment methods must characterize foreground process impacts in a site-informed way and mean impacts of far-removed processes in an unbiased way.     

How Is Religiousness Associated With Adolescent Risk‐Taking? The Roles of Emotion Regulation and Executive Function

Existing literature has demonstrated an association between higher adolescent religiousness and lower risk‐taking via higher self‐regulation. This study sought to elucidate the roles of emotion regulation and executive function as parallel mediators in the link between religiousness and risk‐taking in a sample of 167 adolescents (mean age = 14.13 years, 52% male, 82% White at Time 1). Longitudinal results across three waves utilizing structural equation modeling indicated higher religiousness was associated with higher emotion regulation, whereas religiousness was not associated with executive function. Subsequently, higher emotion regulation and executive function were associated with lower risk‐taking. Emotion regulation mediated the association between religiousness and risk‐taking. The findings highlight religiousness as a contextual protective factor for adolescents.     

Sexual Behavior Latent Classes Among Men Who Have Sex With Men: Associations With Sexually Transmitted Infections

Men who have sex with men (MSM) are at disproportionate risk of acquisition of sexually transmitted infections (STIs). We used latent class analysis (LCA) to examine patterns of sexual behavior among MSM and how those patterns are related to STIs. We examined patterns of sexual behavior using behavioral and clinical data from a cross-sectional study of 235 MSM who presented to an urban sexual health clinic for STI testing. Analyzed data were collected using a combination of interviewer- and self-administered surveys and electronic health records. We used LCA to identify underlying subgroups of men based on their sexual behavior, described the demographics of the latent classes, and examined the association between the latent classes and STI status. We identified three latent classes of sexual behavior: Unprotected Anal Intercourse (UAI) Only (67%), Partner Seekers (14%), and Multiple Behaviors (19%). Men in the Multiple Behaviors class had a 67% probability of being STI positive, followed by men in the UAI Only class (27%) and men in the Partner Seekers class (22%). Examining the intersection of a variety of sexual practices indicates particular subgroups of MSM have the highest probability of being STI positive.     

Religious Social Support Protects against Social Risks for Adolescent Substance Use

We used a social developmental perspective to identify how prominent social contexts influence substance use during adolescence. Longitudinal data were collected annually from 167 parent–adolescent dyads over four years. We investigated whether parent substance use was related to adolescent substance use directly and indirectly via peer substance use and whether these associations were moderated by religious social support. Structural equation modeling (SEM) analysis indicated significant moderated mediation: Greater parent substance use predicted increases in adolescent substance use indirectly via increased peer substance use when adolescent religious social support was low or average, but not high. These results suggest religious social support may protect adolescents against prominent social risks for intergenerational substance use.