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The construction and use of composite indicators has recently increased considerably because such indicators permit the comparison and ranking of countries with respect to complex phenomena of global importance. Together with the diffusion of these composite indicators, a major debate has emerged over their real capacity to produce objective and reliable results. The paper aims to discuss these issues.

In this paper, an analysis of the results of the Gender Gap Labour Market Index (GGLMI) – an ad hoc composite indicator constructed by the authors to analyse the gender gap in European labour markets – is proposed, in order to identify the most appropriate choices in the construction of composite indicators, to obtain reliable results. This is a sensible approach, especially when various aspects (some of them controversial) have to be synthesised.

In addition to highlighting the greater robustness of non-compensatory methods, this analysis confirms the variability of countries’ rankings on graded positional lists, and suggests the need to use a procedure based on a set of alternative methods conveniently combined in each step of the composite indicator construction.

The research identifies the weak steps in composite indicator construction and the data characteristics which increase the volatility. Only an approach based on various alternative paths can control for it.

It offers some reflections on the extent to which gender disparities in labour market still persist in European countries and the different ways in which it manifests.

The analysis of characteristics and policies activated in countries at the top of the ranking can suggest initiatives to promote gender equality.

Besides of testing the robustness of results, an effort in order to identify the best way to obtain a synthetic and reliable single rank is made. Further, the results produced by the GGLMI for the year 2011 are presented and discussed.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The measurement and comparison across countries of female conditions in labour market and gender gap in employment is a very complex task, given both its multidimensional nature and the different scenarios in terms of economic, social and cultural characteristics. The paper aims to discuss these issues.

At this aim, different information about presence and engagement of women in labour market, gender pay gap, segregation, discrimination and human capital characteristics was combined and a ranking of 26 European countries is proposed through the composite indicator methodology. It satisfies the need to benchmark national gender gaps, grouping together economic, political and educational dimensions.

The results show that female conditions in labour market are the best in Scandinavian countries and Ireland while many Eastern and Southern European countries result at the bottom of classification.

In order to take into account the subjectivity of some choices in composite indicator construction and to test robustness of results, different aggregation techniques were applied.

The authors hope that this new index will stimulate the release of a sort of best practices useful to close labour market gaps, starting from best countries’ scenarios, and the launching of pilot gender parity task forces, as it happened with the Global Gender Gap Index in some countries. Finally, relating gender gap indexes with country policies frameworks for gender inequalities and the connected policy outcomes, it is possible to evaluate their effectiveness and to identify the most adequate initiatives to undertake because policies reducing gender gaps can significantly improve economic growth and standard of living.

The analysis gives a contribution in the evaluation of the policies and regulations effectiveness at national level considering the existing welfare regimes and the associated gaps in labour market. It can help policy makers to understand the ramifications of gaps between women and men. The Gender Gap Labour Market Index is constrained by the need for international comparability, but limiting its analysis to European countries; it has been based on ad hoc indicators concerning developed economies and could be readily adapted for use at the national and local levels.

In this paper the authors propose a new composite indicator index specifically focused on gender gap in labour market. Several papers analysed gender differences in wages, employment or segregation, but few of them consider them together, allowing to get a satisfactory informative picture on gender inequalities in labour market and studying in deep its multiple aspects, including discrimination indicators ad hoc calculated, giving to policy makers an useful tool to evaluate female employees conditions and put them in relation with the different input factors existing within each country.

Researchers, policymakers and hospital managers often encounter numerous quality measures when assessing hospital quality. The purpose of this paper is to address the challenge of summarising, interpreting and comparing multiple quality measures across different quality dimensions by proposing a simple method of constructing a composite quality index. The method is applied to hospital administrative data to demonstrate its use in analysing hospital performance.

Logistic and fixed effects regression analyses are applied to secondary admitted patient data from all hospitals in the state of Victoria, Australia for the period 2000/2001–2011/2012.

The derived composite quality index was used to rank hospital performance and to assess changes in state-wide average hospital quality over time. Further regression analyses found private hospitals, day hospitals and non-acute hospitals were associated with higher composite quality, while small hospitals were associated with lower quality.

The method will enable policymakers and hospital managers to better monitor the performance of hospitals. It allows quality to be related to other attributes of hospitals such as size and volume, and enables policymakers and managers to focus on hospitals with relevant characteristics such that quantity and quality changes can be better understood, monitored and acted upon.

A simple method of constructing a composite quality is an indispensable practical tool in tracking the quality of hospitals when numerous measures are used to capture different aspects of quality. The derived composite quality can be used to summarise hospital performance and to identify factors associated with quality via regression analyses.

Recent news articles about pension funding issues highlight the importance of transparent financial reporting and disclosures for defined benefit pension plans. Using pension-related data for local governments in Michigan and Pennsylvania, we provide descriptive evidence regarding the actuarial methods and assumptions adopted and the factors that explain a government’s propensity to adopt optimistic actuarial methods and assumptions that reduce the annual required contribution. Our descriptive data suggests that actuaries are making aggressive assumptions for some governments' pension benefits. Our regression results also suggest there is an association between monitoring mechanisms, fiscal constraints, and socioeconomic factors and the choice of optimistic actuarial methods and assumptions that reduce the annual required contribution. The GASB should consider our findings as they determine whether existing standards should be clarified or whether allowable actuarial methods and assumptions should be restricted.

A major consequence of global environmental change is projected to be the alteration in flood periodicity, magnitude, and geographic patterns. There are a number of extant methods designed to help identify areas vulnerable to these consequences, the construction of composite vulnerability indices prominent among them. In this paper we have implemented the Order Rated Effectiveness (ORE) model (Klimberg & Ratick, 2020) to produce composite flood vulnerability indicators through the aggregation of six constituent vulnerability indicators future projected for 204 hydrologic subbasins that cover the contiguous US. The ORE aggregation results, when compared with those obtained using the Weighted Linear Combination and Data Envelopment Analysis, provided a more robust and actionable distribution of composite vulnerability results for decision-makers when prioritizing Hydrologic Unit Codes for further analysis and for effectively and efficiently implementing adaptation and mitigation strategies to address the flooding consequences due to global climate change.

Differently from traditional approaches that rely on the analysis of single dimensions of the tourism phenomenon, this study aims to experiment a systemic approach based on structured and unstructured data sources to elaborate a composite index to measure the tourist competitiveness of marginal areas, with the final aim to design and plan proper socio-economic development strategies.

The methodology adopted to carry out the study follows a four-step process and relies on indicators that are both relevant and accessible. The first step concerns the analysis of the literature about the existing approaches to calculate a tourism index. The second step concerns the definition of the indicators and the collection of data by using both structured and unstructured sources. The third step focuses on the population of the data set. Finally, the fourth step aims at calculating the tourism index through a composite-based methodology and using it for a pilot application in a Southern Italy province.

The study calculates a synthetic tourism index for each of the 97 municipalities of the Province of Lecce (a city located in the southeast of Italy). The proposed index combines administrative, institutional and open data sources to derive a single indicator for each municipality, thus supporting decision-makers in understanding the complex reality and competitiveness level of territories in the tourism industry.

The main elements of originality of the study are the breadth and typology of data sources considered to calculate the composite indicator of tourism competitiveness (both structured and unstructured); and the use of weighting and aggregation procedures in the methodological issues.

This paper aims to develop and implement a new approach of ranking countries according to their level of economic competitiveness.

Competitiveness is conceptualized as the degree of participation in global integration, measured by the levels of exports, capital inflows and immigration. Based on a wide range of development indicators, composite indicators are constructed by means of a principal component analysis. In turn, these composites enter a canonical correlation analysis and estimated canonical weights are used as weights in the calculation of index scores.

Measures of institutional and political quality are shown to be most closely connected to a country’s ability to export and to attract foreign factors of production. Inflows of foreign capital turn out to correlate much less with our weighting composites than export volumes.

Regarding prospects for future research, a broad range of further applications of this approach in the macro area is conceivable, including measures of a country’s quality of schooling, the quality of its health care system or of its governmental institutions.

In comparison to prevailing macroeconomic indices, this method of index construction is superior in at least two respects. First, direct measures of a country’s performance are methodologically separated from mere performance drivers, contributing to higher clarity concerning the concept to be measured. Second, weights of performance drivers are not determined arbitrarily or based on subjective judgment, but emerge from a transparent and well-established statistical procedure.

Examines the fifthteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.