Identifying the Quality of Work by Fuzzy Sets Theory: A Comparison Between Disabled and Non-disabled Workers

The paper assesses the quality of work of people with and without disabilities in Italy using the ISFOL PLUS (Participation, Labour, Unemployment, Survey 2010 Questionnaire, where the data refer to 2009. In particular, we develop a multidimensional indicator of quality of work within the fuzzy set theory. The results of the investigation show a different mechanism of determinants of quality of work for disabled and non-disabled people: while for these last ones seniority seem to highly contribute to the score of quality of work, institutional factors, like Law 68/99, whose aim is the regulation and promotion of the employment of persons with disabilities, appear to play a bigger role in the determination of the score for quality of work for disabled people. For medium and high levels of score of quality of work, education appears to play a similar role for disabled and non-disabled people, as the incidence of people with high quality jobs corresponds to people with a high level of education. However, for disabled people who are in low quality jobs the level of education appears to be irrelevant. Substantial differences emerge with respect to gender among disabled people, where women appear to be in higher quality of work scores than men; no substantial difference between genders emerges for non-disabled people.     

Measuring Flexicurity: Precautionary Notes,a New Framework,and an Empirical Example

Recently, there has been an increase and abundance of literature measuring flexicurity across countries. However, there is yet to be any agreement on the definition of the key concepts of flexicurity as well as the framework in which to base one’s research. Due to this, the outcomes found in the existing studies are rather diverse, far from reaching a consensus, and can be misleading. This paper addresses the issues by first introducing a framework, namely, the various levels and stages of flexicurity, as well as introducing some key issues that should be addressed when doing flexicurity indicators research. In addition, an empirical example is given to show how the framework derived can be used to carry out flexicurity research, and to show how by not regarding these frameworks one can come to misleading outcomes.     

Being Under Time Pressure: The Case of Workers with Disabilities

This article examines levels of time stress reported by people with and without disabilities. Using data at an individual level from the Time Use Survey for Spain in 2002–2003, we estimate an ordered probit model to investigate the determinants of time stress by disability status. We find that disabled individuals work fewer hours, have more free time and engage in more household labour as compared to the non-disabled. The estimation results show that disabled workers (especially those who are severely or moderately limited in their daily activities) suffer from more stress than their non-disabled counterparts. In addition, longer working hours increase the levels of time stress reported by all individuals, but more intensely so among disabled workers.     

多维度失能测度指标体系构建及失能分级研究

以ICF理论框架的交互影响理念为依据,从多维度视角构建了失能测度指标体系。首先,通过赋值法,得到多维度下的失能总分,依据得分将其划分为重度失能、偏重度失能、中度失能、轻度失能及健康五种功能状态,构造死亡概率模型及失能状态转移概率模型,结果显示,失能分级标准是可靠的。其次,利用CLHLS数据库2011年及2014年追踪调查数据,通过构造多状态转移概率矩阵,实证测算了多状态失能转移概率;借助第六次全国人口普查数据,估算了中国65岁及以上失能人口规模、各状态维持时间及预期寿命等。结果显示,初始健康的老人三年期转移概率维持在健康的概率最高,其死亡率也最低;而初始状态为重度失能的老人死亡率最高,其维持重度失能及转移到偏重度等失能状态的概率也最高。研究结论表明,直接依据数据的失能状态转移概率测算比建模估计要准确;基于多状态转移概率矩阵评估的失能规模、预期寿命等均比已有分级测度结果可靠性更高。     

老年残疾问题及其社会政策思考——基于第二次残疾人抽样调查广东数据分析

人口老龄化快速发展致使老年残疾人口快速增加,改变了残疾人口结构和残疾人社会保障与服务需求,老年残疾问题凸显为重要社会问题。本文利用第二次全国残疾人抽样调查数据。分析了老年残疾人的分布状况、生活状况、残疾状况、康复服务与需求状况,指出残疾老年人经济贫困而社会保障不足。本文从社会保障、社会服务、社会救助等层面提出了完善老年残疾人社会政策的若干建议。     

Poverty in People with Disabilities: Indicators from the Capability Approach

People with disability are particularly exposed to poor living conditions: on one hand they have more difficulties in getting an income cause to their inabilities, on the other hand conditions of poverty increase the risk of disability. However, little rigorous quantitative research has been undertaken to measure the real impact of disability on poverty. Methods based on monetary set (income and consumption) may not reflect the real possibility to convert resources into the fulfilment of personal goals. The capability approach, developed by A. K. Sen, offers a useful framework for the evaluation and assessment of individual well-being considering both monetary and non-monetary resources. The study describes a methodology, derived from the capability approach, to estimate the additional income needed for various types of household with and without disabled members to ensure the same satisfaction with economic resources. The method has been applied to the Italian contest, where 2.6 million people with disability live, and then the results are compared with the findings from an analogous study conducted in UK. The study reveals that disabled people in Italy need an income level two times higher to enjoy the same level of economic satisfaction, while in UK 50% of extra resource are sufficient. The findings suggests that traditional evaluations based on consumption lead to an underestimation of the needs of household containing disabled members. It follows that the financial benefits envisaged by actions planned by government through current instruments may not be completely effective.     

On Italian Households’ Economic Inadequacy Using Quali-Quantitative Measures

Motivated by an interest in investigating factors associated with poverty risks in Italy, our study provides insight into the relationship between various socio-economic, demographic, and behavioural variables and a new measure of the economic inadequacy of households. We propose that a household is in a condition of economic inadequacy when it simultaneously has difficulty making ends meet and is in arrears with payments of commitments for more than 90 days. To analyse the determinants of economic inadequacy, we use cross-sectional microdata collected through a structured questionnaire from a 2012 survey of household income and wealth conducted by the Bank of Italy. The results of the analysis show that the probability of economic inadequacy for Italian households is higher when the household is located in regions in southern Italy, has a low equivalent income, registers a decrease in income compared with that of a normal year, has a low liquidity ratio, pays rent for the house of residence, is over-indebted, is indebted to friends and relatives, and has an unhappy and impatient household head. We also propose constructing a composite indicator at the regional level that combines the percentage of households in relative poverty, as measured by the Italian National Institute of Statistics, and the percentage of households that we identify as existing in a condition of economic inadequacy. The composite indicator allows us to take into account some aspects of household living conditions that are not included in the measure of relative poverty.     

韩国劳动力市场灵活稳定性状况研究

根据国际社会提出的灵活稳定性概念对韩国金融危机以后劳动力市场的灵活稳定性状况进行分析。韩国政府采取的许多改革措施没有使劳动力市场的稳定性得到提高,反而使灵活性不断下滑。社会保障体系的不完善及工会组织的政治化是造成韩国劳动力市场灵活稳定性无法提高的主要原因。     

Health-related disabilities and matching of spouses: Analysis of Swedish population data

Recent research concerning the incidence of reported work-limiting disabilities in the married population indicates a degree of interdependence between spouses' disabilities. This pattern is consistent with several hypotheses. Spouses tend to share many lifestyle traits that might lead to common health outcomes. Alternatively, their joint reports might reflect a shared preference for income benefits or workplace accommodations available to disabled individuals. Another possibility is that disabled individuals tend to be matched in the process of marital formation. This paper investigates the latter hypothesis. Taking advantage of a unique data set from the Swedish population, we select a sample of recently married couples and trace them back in time to their single years. Our analysis indicates nonrandom matching on the basis of disability status. After controlling for observed traits such as age and education, we find a residual correlation between future spouses that is positive and strongly significant. The magnitude of the correlation is within the range of residual correlations obtained from other studies that address marital matching in the contexts of education and earnings. The authors wish to thank anonymous referees and the editors of this journal for helpful comments and prompt reviews. Responsible editor: Christian Dustmann.     

中国老年人临终前 生活自理能力的衰退轨迹

本文以老年人为研究对象,以基本生活自理能力(ADL)为测量指标,使用"中国老年健康长寿影响因素跟踪调查"(CLHLS)数据,分析在1998-2014年期间去世的老年人群临终前的生活自理能力的变化轨迹。作者利用组基轨迹模型对男性和女性老年人的生活自理能力变化过程分别进行拟合,发现老年人在临终前的生活自理能力存在显著差异并归纳出三种变化轨迹:生活自理能力完好型、快速发展型和缓慢下降型。研究发现生命历程早期阶段的经历、所处的社会经济状况、年龄效应和队列效应都会对生活自理能力的衰退轨迹产生显著影响。增龄带来的生活自理能力下降使老年人临终前的失能风险及其持续时间增加,而较晚的出生队列在临终前出现长时间失能的可能性较低。在三类轨迹中,自理能力缓慢下降型轨迹受到各种因素的影响最为显著,而该类型的出现概率是影响失能老年人照料负担的主要因素,由此也证明了除去年龄效应与性别差异之外,由社会经济状况、健康行为习惯、生活环境等因素合力产生的健康保护作用将会在失能老年人照料负担增长过程中发挥主导作用。研究还发现老年女性在临终前会面临更高的失能风险和更长时间的失能存活期,其生活自理能力变化过程受到更多因素的影响。     

Same-occupation spouses: preferences or search costs?

Married individuals match with spouses who share their occupation more frequently than should happen by chance if marriage markets are large frictionless search markets covering a particular geographic area. This suggests that either there is a preference for same-occupation matches or that search costs are lower within occupation. This paper uses 2008–2015 data from the American Community Survey to analyze same-occupation matching among a sample of recently married couples. Our empirical strategy compares the difference in wages between same-occupation husbands and different-occupation husbands across occupations with different percent male workers. Under a preference explanation, this difference should become less negative as the share of males in the occupation increases. Under a search cost explanation, this difference should become more negative as the share of males increases. Our results are consistent with the search cost explanation. Furthermore, using an occupation-specific index of workplace communication, we demonstrate that the results are most consistent with the search cost mechanism for occupations with a greater degree of workplace communication. Finally, we show that matching on field of degree for couples in which both spouses have a college degree is also consistent with the search cost explanation.     

What Defines Quality of Life? The Gap Between Public Policies and Locally Defined Indicators Among Residents of Kodagu, Karnataka (India)

Improving quality of life (QoL) is one of the main goals of many public policies. A useful tool to measure QoL needs to get a good balance between indicators guided by theories (top-down approach) and indicators defined by local people (bottom-up approach). However, QoL measurement tools often neglect to include elements that define the standard of living at local level. In this paper, we analyse the correspondence between human development index, as an indicator adopted by governments to assess QoL, and the elements defined by local people as important in their QoL, called here local means. Using a free-listing technique, we collected information from 114 individuals from Kodagu, Kartanataka (India), to capture local means defining QoL. We then compared local means with the indicators used by Human development report (HDR) of Karnataka, the main measurement tool of QoL in Kodagu. The list of local means included access to basic facilities and many issues related to agriculture and natural resources management as elements locally defining QoL. We also found that HDR does not capture the means defined by people as indicators of QoL. Our findings suggest an important gap between current QoL’s indicators considered by public policies and the means of QoL defined by people. Our study provides insights for a set of plausible local indicators useful to achieve a balance between top-down and bottom-up approaches for the local public policies.     

Equality and Diversity in the Classroom: A Comparison of Students’ and Teachers’ Attitudes in Six European Countries

Globalisation and increased mobility of people within the EU have led to increased immigration and greater diversity within many EU countries, which have affected the composition of workplaces and classrooms. This includes diversity in terms of nationality, as well as ethnic, racial and religious diversity. This article expands awareness of diversity issues in the workplace to classrooms. It is based on a crosscultural comparative study of the attitudes of secondary school students and their teachers in six European countries: Ireland, the UK, France, Latvia, Italy and Spain. The sample included 320 students and 208 teachers for a total of 528 respondents. The article compares and contrasts attitudes towards non-national students, ethnic and religious minorities and disabled students, as well as gender issues, bullying and general perceptions of equality and diversity. The findings demonstrate generally positive attitudes among young people towards the increasing diversity in their classrooms. Moreover, the study revealed that in countries where there is greater diversity, the perception of difficulties is lower than in countries with less experience of diversity, suggesting that greater diversity and intergroup contact is resulting in more inclusive attitudes in schools. However, results comparing students with teachers identified consistent gaps in perceptions, with teachers having greater estimates of difficulties posed by diversity, together with smaller estimates of bullying behaviour. The study demonstrated that there is a need for teachers to have enhanced skills and competencies to deal effectively with this new environment in order to facilitate a more inclusive classroom.     

Does Culture Make a Better Citizen? Exploring the Relationship Between Cultural and Civic Participation in Italy

In the last decades, policy discussions have increasingly considered participation in arts and cultural activities as a vehicle to reach broader social policy goals, such as social inclusion or active citizenship. However, convincing empirical evidence on the social impacts of arts and culture is still scarce. In particular, little attention has been given to the impact that cultural participation may have on individuals’ engagement in civil society, especially in Europe. In order to address this lack of evidence, this paper explores the connection between cultural participation and civic participation in Italy using Likert-scale data collected in the ISTAT “Aspetti della Vita Quotidiana” Survey (2014). To do so, two composite indicators—the participation in cultural life indicator and the participation in civic life indicator—have been built using an approach based on partial order theory and the concept of Average Rank. The effect of cultural participation on civic engagement has been estimated using a quantile regression model which controls for potentially cofounding factors such as education, income, age and gender. Results do confirm that participation in arts and cultural activities is highly correlated with participation in civic life. It is particularly worth noticing that at higher levels of civic participation, cultural participation has a positive and strong effect on civic engagement of people having a low educational level.

     

Application of Different Techniques of Factor Analysis to Develop Neighborhood Social Capital Rating Scale

Composite indicators are widely used to determine the ranking of countries, organizations or individuals in terms of overall performance on multiple criteria. Their calculation requires standardization of the individual statistical criteria and aggregation of the standardized indicators. These operations introduce a potential propagation effect of extreme values on the calculation of the composite indicator of all entities. In this paper, we propose robust composite indicators for which this propagation effect is limited. The approach uses winsorization based on a robust estimate of the distribution of the sub-indicators. It is designed such that the winsorization affects only the composite indicator rank but has no effect on the entities ranking in each sub-indicator. The simulation study documents the benefits of distribution-based winsorization in the presence of outliers. It leads to a ranking that is closer to the clean data ranking when compared to the ranking obtained using either no winsorization or the traditional winsorization based on empirical quantiles. In the empirical application, we illustrate the use of winsorization for ranking countries based on the United Nations Industrial Development Organization’s Competitive Industrial Performance index. We show that even though the sub-indicator ranking does not change, the robust winsorization approach has a material impact on the ranking of the composite indicator for countries with large discrepancies in the scores of the sub-indicators.

     

A Sociodemographic Risk Index

In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based on substantial research on children’s development, we chose five variables for the index: family income, family structure, parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places, as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However, analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore, we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as a replacement for the poverty measure.     

The Establishment and Application of a Labor Quality Index: The Case of Taiwan’s Manufacturing Industry

The labor quality index (LQI) not only serves as an important reference for monitoring the progress of the sustainable development of a country, but it can also serve as an important parameter for economic analysis. To compile such an index for Taiwan, we conducted two large-scale surveys of 1000 major enterprises and 844 union leaders, respectively, to determine the appropriate weights for each key factor. We also searched for all the relevant statistics that were used to calculate the weighted sum of the 25 sub-indexes, in order to compile a LQI for Taiwan’s manufacturing industries covering the period from 1990-2000. Our calculations show that this LQI rose from 80.2 in 1990 to 117.5 in 2000, which reflected an impressive 37.3% increase in just one decade. This rate of growth has, however, been slowing down since 1997. Our results indicate that the LQI provides a valuable indicator for monitoring the enhancement of labor quality in this society.     

Measuring World Better Life Frontier: A Composite Indicator for OECD Better Life Index

The OECD Better Life initiative recently released a comprehensive set of 11 indicators of well-being covering a group of countries. Each individual indicator corresponds to a key topic that is essential to well-being. However, the problem of aggregating them is left to users of this dataset. Using these as individual indicators, we propose a composite indicator of overall well-being, which is intended to measure the performance of each country in terms of providing well-being to its people. The ‘benefit of the doubt’ approach (BOD), a well-known aggregation tool based on a weighed sum, assigns the most favourable weights for each entity under investigation. BOD may also be considered to evaluate the performance of each entity in terms of its efficiency. Regarding individual indicators as outputs, it constructs the benchmark production frontier from observed individual indicators. A composite indicator based on BOD equals the distance between each entity’s individual indicator and the production frontier, indicating its efficiency. It is widely considered that the well-being of a country’s people stems from its productive base, which is characterized by capital assets and social infrastructures. Thus, the productive base can be considered the input used to produce well-being, which is reflected by individual indicators. Therefore, when we apply BOD to aggregate individual well-being indicators across countries, we implicitly assume that all countries have the same productive base, as BOD addresses only the output and neglects the input. This inaccurate assumption leads to a distorted performance measure. Data envelopment analysis (DEA), in which BOD has its roots, is a tool to measure the efficiency of each entity by allowing for differences in inputs as well as outputs across entities. DEA also measures efficiency by using the distance to the production frontier; however, unlike BOD, DEA constructs the production frontier more accurately by utilizing the information of inputs as well as outputs, leading to a better performance measure. We apply DEA to aggregate 11 individual well-being indicators into a composite indicator using the World Bank’s estimates of each country’s productive base. The composite indicator based on BOD is distributed similarly to and is highly correlated with the existing Human Development Indicator (HDI). It is also positively correlated with GDP per capita. On the other hand, we show that the composite indicator based on DEA is negatively correlated with HDI as well as GDP per capita.     

Measuring Change Over Time in Socio-economic Deprivation and Health in an Urban Context: The Case Study of Genoa

Poverty and disability are interrelated, but data that can disentangle to what extent one causes the other and vice versa is not available. However, data from Vietnam allows us to examine this interrelationship in a way not done previously. Using small area estimation techniques, we uncover three findings not yet found in the literature. First, disability prevalence rates vary significantly within a country even at the district level. Second, the poverty gap between people with and without disabilities also varies at the district level. And most importantly, the size of that gap lessens based on district characteristics that can be affected by policy. Districts with better health care and infrastructure, such as road and health services, show less of a link between disability and poverty, supporting the hypothesis that improvements in infrastructure and rehabilitation service can lessen the impact of disability on families with disabled members.     

An Assessment of EU 2020 Strategy: Too Far to Reach?

In 2010, EU adopted a new growth strategy which includes three growth priorities and five headline targets to be reached by 2020. The aim of this paper is to investigate the current performance of the EU member and candidate states in achieving these growth priorities and the overall strategy target by allocating the headline targets into the priorities and the priorities into the strategy by the use of a composite indicator methodology. The paper determines how far away each member and candidate state is from the targeted levels of the priorities and the strategy by making a distinction between EU 15 and relatively new member states as well. The developed composite indices enable the observation of the performances of the member and candidate states in a single indicator for the overall strategy and each growth priority. The results of the strategy index and three growth priority indices show that Nordic states possess the highest index scores already having reached many of the targets; many new member states performed as good as EU 15 and some EU 15 states are placed at the bottom of the ranking with quite poor performance in reaching the EU 2020 strategy.