393 research outputs found

    Measuring Service Quality: The Opinion of Europeans about Utilities

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    This paper provides a comparative analysis of statistical methods to evaluate the consumer perception about the quality of Services of General Interest. The evaluation of the service quality perceived by users is usually based on Customer Satisfaction Survey data and an ex-post evaluation is then performed. Another approach, consisting in evaluating Consumers preferences, supplies an ex-ante information on Service Quality. Here, the ex-post approach is considered, two non-standard techniques - the Rasch Model and the Nonlinear Principal Component Analysis - are presented and the potential of both methods is discussed. These methods are applied on the Eurobarometer Survey data to assess the consumer satisfaction among European countries and in different years.Service Quality, Eurobarometer, Non Linear Principal Component Analysis, Rasch Analysis, Conjoint Analysis

    Consumers’ Attitudes on Services of General Interest in the EU: Accessibility, Price and Quality 2000-2004

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    The research question addressed by this paper is a simple one: are European consumers happy with the services provided by the utilities after two decades of reforms? We focus on electricity, gas, water, telephone in the EU 15 Member States. The variables we analyse are consumers’ satisfaction with accessibility, price and quality, as reported in three waves of Eurobarometer survey, 2000-2002-2004, comprising around 47,000 observations. We use ordered logit models to analyze the impact of privatization and regulatory reforms, as represented by an OECD dataset, controlling for individual and country characteristics. Our results do not support a clear association between consumers’ satisfaction and a standard reform package of privatization, vertical disintegration, liberalization.Consumers’ Satisfaction, Gas, Electricity, Telephone, Water, Eurobarometer

    Statistical solutions to improving bike-sharing systems

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    Research infrastructures in the LHC era : a scientometric approach

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    When a research infrastructure is funded and implemented, new information and new publications are created. This new information is the measurable output of discovery process. In this paper, we describe the impact of infrastructure for physics experiments in terms of publications and citations. In particular, we consider the Large Hadron Collider (LHC) experiments (ATLAS, CMS, ALICE, LHCb) and compare them to the Large Electron Positron Collider (LEP) experiments (ALEPH, DELPHI, L3, OPAL) and the Tevatron experiments (CDF, D0). We provide an overview of the scientific output of these projects over time and highlight the role played by remarkable project results in the publication-citation distribution trends. The methodological and technical contributions of this work provide a starting point for the development of a theoretical model of modern scientific knowledge propagation over time

    Measuring environmental policy stringency: Approaches, validity, and impact on environmental innovation and energy efficiency

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    Solid tests of the impact of environmental and energy policy on important economic outcomes, such as innovation, productivity, competitiveness and energy and carbon efficiency are impaired by the lack of appropriate empirical proxies for the commitment to, and stringency of, environmental policy. We contribute to the literature by: (1) computing different indicators of environmental policy stringency, (2) testing to what extent they convey similar insights through a statistical comparison exercise, and (3) showing the implications of using one or the other indicator in two illustrative empirical applications focused on environmental innovation and energy efficiency. We conclude by highlighting the implications of our analysis for empirical research focusing on the evaluation of policy impacts, and highlight fruitful future research avenues

    Assessing the reliability and validity of Google Scholar indicators : The case of social sciences in Italy

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    Google Scholar is an appealing data source for the measurement of scientific production in the social sciences and humanities (SSH) fields. Its appeal derives from its extensive coverage of the literature. This contrasts with issues of data quality, which are still quite controversial. This chapter aims to evaluate the reliability and validity of bibliometric indicators taken from Scholar as well as their coverage of the scientific production in the social sciences. The analysis will be based on a comparison of Scholar with other bibliometric data sources (Web of Science and Scopus) plus an institutional dataset. The reliability of Scholar indicators will be investigated through correlational analysis, while their validity will be assessed using different external criteria (the results of national evaluation procedures based on a peer review approach). The analysis will be developed for the population of Italian university professors in a subset of SSH: political philosophy, history, political science and sociology. The final discussion of the results will take into account the various purposes that bibliometric exercises try to achieve

    Evaluation of group discussion on developing oyster culture in Kerala

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    Edible oyster presents good farming potential in Kerala in view of the conducive ecology and manpower availability. As the technology transfer function is vested with the extension personnel of the Socioeconomic Evaluation and Technology Transfer Division of CMFRI, a systematic evaluation of the programme was conducted by the Division to quantify opinions and suggestions and to list out the constraints anticipated in taking up the technology which would be helpful in developing suitable TOT strategies

    Robust Multivariate Calibration

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