1,082 research outputs found
Predator State: Corruption in a Council-Manager System–The Case of Bell, California
This article seeks to explain recent patterns of corruption in the City of Bell, California. After reviewing the literature on municipal corruption, Progressive reform, and political participation in immigrant communities, the article examines the Bell case study. It argues that the council-manager form of government contributes to civic disengagement in California’s high-immigration cities. Insulated from civic accountability, Bell became effectively a ‘predator state’ as local officials exploited governmental power and resources for personal gain. Implications for political reform and local state- building in high immigration cities are discussed
Using Cognitive Mapping Techniques to Measure Longitudinally the Brand Equity of Irish Political Parties
This paper applies cognitive mapping techniques to understand how political brand equity is formed, differs, and changes, across the four largest Irish political parties, between 2013 and 2016. It assesses the fundamental aspects of branding and brand equity in the marketing and political marketing literatures and offers an insight into the Irish political environment. Primary data was generated through the participation of 232 citizens in the brand elicitation stages in 2013 and 2016 and a further 76 and 105 citizens respectively were involved in the construction of the cognitive maps of brand equity. In all, across both time points, 614 citizens participated. From the mapping process we can see how the participants’ perceptions of the Irish political parties’ brands have changed. This article constitutes a first attempt to measure longitudinally changing political brand equity through cognitive mapping techniques
Improvements in prevalence trend fitting and incidence estimation in EPP 2013
OBJECTIVE: Describe modifications to the latest version of the Joint United Nations Programme on AIDS (UNAIDS) Estimation and Projection Package component of Spectrum (EPP 2013) to improve prevalence fitting and incidence trend estimation in national epidemics and global estimates of HIV burden. METHODS: Key changes made under the guidance of the UNAIDS Reference Group on Estimates, Modelling and Projections include: availability of a range of incidence calculation models and guidance for selecting a model; a shift to reporting the Bayesian median instead of the maximum likelihood estimate; procedures for comparison and validation against reported HIV and AIDS data; incorporation of national surveys as an integral part of the fitting and calibration procedure, allowing survey trends to inform the fit; improved antenatal clinic calibration procedures in countries without surveys; adjustment of national antiretroviral therapy reports used in the fitting to include only those aged 15–49 years; better estimates of mortality among people who inject drugs; and enhancements to speed fitting. RESULTS: The revised models in EPP 2013 allow closer fits to observed prevalence trend data and reflect improving understanding of HIV epidemics and associated data. CONCLUSION: Spectrum and EPP continue to adapt to make better use of the existing data sources, incorporate new sources of information in their fitting and validation procedures, and correct for quantifiable biases in inputs as they are identified and understood. These adaptations provide countries with better calibrated estimates of incidence and prevalence, which increase epidemic understanding and provide a solid base for program and policy planning
Measuring Political Brand Equity in Ireland
Measuring Political Brand Equity in the Republic of Ireland
This paper will apply cognitive mapping techniques to understand the manner in which political brand equity is formed and distributed amongst the four largest Irish political parties from the perspective of citizens. It assesses the fundamental aspects of branding and brand equity in the marketing and political marketing literatures and offers and overview of the market in question – the Irish political environment. Primary data was generated through the participation of 232 citizens in the political brand elicitation stage and a further 75 citizens were involved in the construction of the cognitive maps of brand equity. From the mapping process we see that Irish political parties brands are plagued by a number of negative associations. Fianna Fáil’s brand is overshadowed by past mistakes and past leaders with bad reputations; whilst the Fine Gael brand is wracked by low levels of engagement. This paper constitutes the first attempt to measure the political brand equity of Irish political parties
Using Cognitive Mapping to Longitudinally Examine Political Brand Associations
This paper uses cognitive mapping techniques to understand how brand associations, an important aspect of political brand equity are formed, differ, and change, from the perspective of citizens, across the four largest Irish political parties between 2013 and 2016. The paper focuses in particular upon the strength, favourability and uniqueness of these brand associations. The results constitute a first attempt to longitudinally explore changing political brand associations through cognitive mapping techniques, using data generated with the participation of hundreds of citizens. Our findings suggest that this approach can contribute to our understanding of how and why political brand associations change over time
Addressing Inequity to Achieve the Maternal and Child Health Millennium Development Goals: Looking Beyond Averages.
Inequity in access to and use of child and maternal health interventions is impeding progress towards the maternal and child health Millennium Development Goals. This study explores the potential health gains and equity impact if a set of priority interventions for mothers and under fives were scaled up to reach national universal coverage targets for MDGs in Tanzania. We used the Lives Saved Tool (LiST) to estimate potential reductions in maternal and child mortality and the number of lives saved across wealth quintiles and between rural and urban settings. High impact maternal and child health interventions were modelled for a five-year scale up, by linking intervention coverage, effectiveness and cause of mortality using data from Tanzania. Concentration curves were drawn and the concentration index estimated to measure the equity impact of the scale up. In the poorest population quintiles in Tanzania, the lives of more than twice as many mothers and under-fives were likely to be saved, compared to the richest quintile. Scaling up coverage to equal levels across quintiles would reduce inequality in maternal and child mortality from a pro rich concentration index of -0.11 (maternal) and -0.12 (children) to a more equitable concentration index of -0,03 and -0.03 respectively. In rural areas, there would likely be an eight times greater reduction in maternal deaths than in urban areas and a five times greater reduction in child deaths than in urban areas. Scaling up priority maternal and child health interventions to equal levels would potentially save far more lives in the poorest populations, and would accelerate equitable progress towards maternal and child health MDGs
Maternal deaths in Pakistan : intersection of gender, class and social exclusion.
Background: A key aim of countries with high maternal mortality rates is to increase availability of competent
maternal health care during pregnancy and childbirth. Yet, despite significant investment, countries with the
highest burdens have not reduced their rates to the expected levels. We argue, taking Pakistan as a case study,
that improving physical availability of services is necessary but not sufficient for reducing maternal mortality
because gender inequities interact with caste and poverty to socially exclude certain groups of women from
health services that are otherwise physically available.
Methods: Using a critical ethnographic approach, two case studies of women who died during childbirth were
pieced together from information gathered during the first six months of fieldwork in a village in Northern Punjab,
Pakistan.
Findings: Shida did not receive the necessary medical care because her heavily indebted family could not afford it.
Zainab, a victim of domestic violence, did not receive any medical care because her martial family could not afford
it, nor did they think she deserved it. Both women belonged to lower caste households, which are materially poor
households and socially constructed as inferior.
Conclusions: The stories of Shida and Zainab illustrate how a rigidly structured caste hierarchy, the gendered
devaluing of females, and the reinforced lack of control that many impoverished women experience conspire to
keep women from lifesaving health services that are physically available and should be at their disposal
- …