Regulatory effectiveness: the impact of good regulatory governance on electricity industry capacity and efficiency in developing countries

This paper assesses for 28 developing countries over the period 1980-2001 whether the existence of a regulatory law and higher quality regulatory governance are significantly associated with superior electricity outcomes. The analysis draws on theoretical and empirical work on the impact of independent central banks and of developing country telecommunications regulators. The empirical analysis concludes that, controlling for other relevant variables and allowing for country specific fixed effects, a regulatory law and higher quality governance is positively and significantly associated with higher per capita generation capacity levels and higher generation capacity utilisation rates. In addition, at least for three years or more, this positive regulatory impact appears to increase with experience

Regulatory effectiveness : the impact of regulation and regulatory governance arrangements on electricity industry outcomes

The authors review a number of studies on the effectiveness of utility regulatory agency and governance arrangements for the electricity industry, particularly for developing countries. They discuss governance criteria and their measurement, both legal frameworks and surveys of regulatory practice. They also discuss the results from econometric studies of effectiveness for regulatory agencies in the electricity and telecommunications industries and compare these with the results from econometric studies of independent central banks and their governance. The authors conclude with a discussion of policy implications and of priorities for information collection to improve understanding of these issues.National Governance,Banks&Banking Reform,Governance Indicators,Administrative&Regulatory Law,Municipal Financial Management

Where We Live Matters for Our Health: Neighborhoods and Health

Details how a neighborhood's physical and socioeconomic environments, such as safety and access to fresh produce, exercise opportunities, and medical services, affect residents' health. Highlights local interventions to make neighborhoods healthier

Market structure, Regulation and the Speed of Mobile Network Penetration

The speed of market penetration (i.e. diffusion) is an important summary measure of how well the market works for potential consumers of a new product. This paper identifies the structural features associated with rapid diffusion of mobile telephony. We use a sample of thirty countries over the sixteen years in which average penetration rose from 2% to 97% of the population (earlier studies observed only the initial years of diffusion during which there was typically only one or two networks). We find a non-monotonic effect of market structure, with three firms maximising consumer uptake. Privatization and independent regulation are also important positive factors. Further results show that the market structure effect works only partially through the level of prices

The competitiveness of nations and implications for human development

This is the post-print version of the final paper published in Socio-Economic Planning Sciences. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.Human development should be the ultimate objective of human activity, its aim being healthier, longer, and fuller lives. Thus, if the competitiveness of a nation is properly managed, enhanced human welfare should be the key expected consequence. The research described here explores the relationship between the competitiveness of a nation and its implications for human development. For this purpose, 45 countries were evaluated initially using data envelopment analysis. In this stage, global competitiveness indicators were taken as input variables with human development index indicators as output variables. Subsequently, an artificial neural network analysis was conducted to identify those factors having the greatest impact on efficiency scores

Exploring masculinities, sexual health and wellbeing across areas of high deprivation in Scotland: the depth of the challenge to improve understandings and practices

Within and across areas of high deprivation, we explored constructions of masculinity in relation to sexual health and wellbeing, in what we believe to be the first UK study to take this approach. Our sample of 116 heterosexual men and women age 18–40 years took part in individual semi-structured interviews (n = 35) and focus group discussions (n = 18), across areas in Scotland. Drawing on a socio-ecological framework, findings revealed experience in places matter, with gender practices rooted in a domestically violent milieu, where localised, socio-cultural influences offered limited opportunities for more egalitarian performances of masculinity. We discuss the depths of the challenge in transforming masculinities in relation to sexual health and wellbeing in such communities

Writing in Britain and Ireland, c. 400 to c. 800

No abstract available

A Multilevel Model for Comorbid Outcomes: Obesity and Diabetes in the US

Multilevel models are overwhelmingly applied to single health outcomes, but when two or more health conditions are closely related, it is important that contextual variation in their joint prevalence (e.g., variations over different geographic settings) is considered. A multinomial multilevel logit regression approach for analysing joint prevalence is proposed here that includes subject level risk factors (e.g., age, race, education) while also taking account of geographic context. Data from a US population health survey (the 2007 Behavioral Risk Factor Surveillance System or BRFSS) are used to illustrate the method, with a six category multinomial outcome defined by diabetic status and weight category (obese, overweight, normal). The influence of geographic context is partly represented by known geographic variables (e.g., county poverty), and partly by a model for latent area influences. In particular, a shared latent variable (common factor) approach is proposed to measure the impact of unobserved area influences on joint weight and diabetes status, with the latent variable being spatially structured to reflect geographic clustering in risk