2,106 research outputs found

    'Core Indicators for Determinants and Performance of Electricity Sector in Developing Countries’

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    Since the early 1990s, substantial resources and effort have been spent on implementing market-oriented electricity reform in developing countries. Important sectoral, economic, and social dimensions are involved in electricity reform, but empirical analysis and evaluation have been of limited use for testing the economic rationale of reform and policy advice. This may partly be attributed to a lack of generally accepted and measured indicators for monitoring progress, impact and performance, unlike areas such as health, education, environment, sustainable development. In this paper we propose a set of indicators as a first step towards filling this gap and developing a coherent framework for studying electricity reform in developing countries covering resource and institutional endowments, key reform steps, market structure, performance, and various impacts.Electricity, Reform, developing countries

    Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution utilities

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    Quality of service has emerged as an important issue in post-reform regulation of electricity distribution networks. Regulators have employed partial incentive schemes to promote cost saving, investment efficiency, and service quality. This paper presents a quality-incorporated benchmarking study of the electricity distribution utilities in the UK between 1991/92 and 1998/99. We calculate technical efficiency of the utilities using Data Envelopment Analysis technique and productivity change over time using quality-incorporated Malmquist indices. We find that cost efficient firms do not necessarily exhibit high service quality and that efficiency scores of cost-only models do not show high correlation with those of quality-based models. The results also show that improvements in service quality have made a significant contribution to the sector’s total productivity change. In addition, we show that integrating quality of service in regulatory benchmarking is preferable to cost-only approaches.quality of service, benchmarking, incentive regulation, data envelopment analysis, electricity

    ‘Electricity Sector Reform in Developing Countries: A Survey of Empirical Evidence on Determinants and Performance’

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    This paper reviews the empirical evidence on electricity reform in developing countries. We find that country institutions and sector governance play an important role in success and failure of reform; reforms appear to have increased operating efficiency and expanded access to urban customers; they have to a lesser degree passed on efficiency gains to customers, tackled distributional effects, or improved rural access. Moreover, some of the literature is not methodologically robust or on a par with general development economics literature and findings on some issues are limited and inconclusive while some important areas are yet to be addressed. Until we know more, implementation of reforms will be more based on ideology and economic theory rather than solid economic evidence.Electricity, reform, developing countries

    Anxiety symptoms as a predictor of head and neck cancer survival and potential for mediation by cancer treatment response.

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    BACKGROUND: Head and neck cancers (HNC) are associated with high rates of depression, which seems to affect overall survival. However, little attention has been paid to the effects of anxiety on overall survival, though anxiety has been shown to activate inflammatory pathways implicated in cancer symptom development and progression. Here it was hypothesized that higher pre-treatment anxiety levels in HNC patients would predict poorer overall two-year survival and a higher likelihood of subsequent HNC treatment failure. Additionally, we expected that the relationship between higher pre-treatment anxiety and poorer two-year overall survival would be mediated by treatment failure. METHODS: Patients (n = 242) reported anxiety symptomatology via the GAD-7 at treatment planning. Clinical data were reviewed at treatment completion, six-month, and two-year follow-up. RESULTS: Higher pre-treatment anxiety levels were not associated with significantly poorer two-year overall survival (hazard ratio [HR], 1.032; 95% confidence interval [CI], 0.995 – 1.070, p = 0.094). The association between GAD-7 total scores (mean centered) and treatment response was also nonsignificant (B = 0.006; odds ratio [OR], 1.006; 95% CI, 0.959 – 1.055, p = 0.805). Therefore, criteria for the mediation of pre-treatment anxiety levels and two-year overall survival by treatment response were not met, and the presence of a mediating relationship could not be tested. However, when transformed into a categorical variable, a significant relationship between only the Moderate category of anxiety and two-year overall survival was shown (HR, 2.827; 95% CI, 1.209 – 6.609; p = 0.016). The associations between all other GAD-7 score categories and treatment response returned non-significant (Very Minimal odds ratio [OR] = 1.295; 95% confidence interval [CI] = 0.523 – 3.206, Mild OR = 1.280; CI = 0.482 – 3.397, Moderate OR = 1.477; CI = 0.551 – 3.959, Severe OR = 1.067; CI = 0.366 – 3.109). CONCLUSIONS: Most head and neck cancer patients experience anxiety in the treatment planning phase, though only those who scored in the Moderate category of the GAD-7 appeared to have significantly poorer two-year overall survival. Screening anxiety with another questionnaire such as the State-Trait Anxiety Inventory may be beneficial to future studies assessing the relationship between anxiety and survival if multiple measurements are taken during and after treatment

    Building performance evaluation and certification in the UK: a critical review of SAP?

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    Improving the efficiency and performance of the UK residential sector is now necessary for meeting future energy and climate change targets. Building Performance Evaluation and Certification (BPEC) tools are vital for estimating and recommending cost effective improvements to building energy efficiency and lowering overall emissions. In the UK, building performance is estimated using the Standard Assessment Procedure (SAP) for new dwellings and Reduced SAP (RdSAP) for existing dwellings. Using a systems based approach we show there are many opportunities for improving the effectiveness of BPEC tools. In particular, if the building stock is going to meet future energy and climate change targets the system driving building energy efficiency will need to become more efficient. In order to achieve this goal, building performance standards across Europe are compared highlighting the most effective strategies where they are found. It is shown that the large variance between estimated and actual energy performance from dwellings in the UK may be preventing the adoption of bottom-up energy efficiency measures. We show that despite popular belief, SAP and RdSAP do not estimate building energy efficiency but instead attempt to estimate the cost-effective performance of a building and thus create perverse incentives that may lead to additional CO2 emissions. In this regard, the SAP standard confounds cost-effectiveness, energy efficiency and environmental performance giving an inadequate estimate of all three policy objectives. Important contributions for improving measurement, analysis, synthesis and certification of building performance characteristics are offered.Efficienc

    A panel model for predicting the diversity of internal temperatures from English dwellings

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    Using panel methods, a model for predicting daily mean internal temperature demand across a heterogeneous domestic building stock is developed. The model offers an important link that connects building stock models to human behaviour. It represents the first time a panel model has been used to estimate the dynamics of internal temperature demand from the natural daily fluctuations of external temperature combined with important behavioural, socio-demographic and building efficiency variables. The model is able to predict internal temperatures across a heterogeneous building stock to within ~0.71°C at 95% confidence and explain 45% of the variance of internal temperature between dwellings. The model confirms hypothesis from sociology and psychology that habitual behaviours are important drivers of home energy consumption. In addition, the model offers the possibility to quantify take-back (direct rebound effect) owing to increased internal temperatures from the installation of energy efficiency measures. The presence of thermostats or thermostatic radiator valves (TRV) are shown to reduce average internal temperatures, however, the use of an automatic timer is statistically insignificant. The number of occupants, household income and occupant age are all important factors that explain a proportion of internal temperature demand. Households with children or retired occupants are shown to have higher average internal temperatures than households who do not. As expected, building typology, building age, roof insulation thickness, wall U-value and the proportion of double glazing all have positive and statistically significant effects on daily mean internal temperature. In summary, the model can be used as a tool to predict internal temperatures or for making statistical inferences. However, its primary contribution offers the ability to calibrate existing building stock models to account for behaviour and socio-demographic effects making it possible to back-out more accurate predictions of domestic energy demand
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