Adjusting Imperfect Data: Overview and Case Studies

[Excerpt] In this chapter, instead of using the similarity in the cleaned datasets to investigate economic fundamentals, we focus on the differences in the underlying ‘dirty’ data. We describe two data elements that remain fundamentally different across countries, and the extent to which they differ. We then proceed to document some of the problems that affect longitudinally linked administrative data in general, and we describe some of the solutions analysts and statistical agencies have implemented, and some that they did not implement. In each case, we explain the reasons for and against implementing a particular adjustment, and explore, through a select set of case studies, how each adjustment or absence thereof might affect the data. By giving the reader a look behind the scenes, we intend to strengthen the reader’s understanding of the data. Thus equipped, the reader can form his or her own opinion as to the degree of comparability of the findings across the different countries

A validity and reliability study of the Attitudes toward Sustainable Development scale

This article describes the development and validation of the Attitudes toward Sustainable Development scale, a quantitative 20-item scale that measures Italian university students\u2019 attitudes toward sustainable development. A total of 484 undergraduate students completed the questionnaire. The validity and reliability of the scale was statistically tested by computing the KMO and Bartlett tests and via an exploratory factor analysis, descriptive statistics, Cronbach\u2019s alpha, a confirmatory factor analysis and a multi-group invariance testing. The results of the principal components factor analysis show that the scale consists of the following four dimensions, with five items in each: environment, economy, society and education. The overall structure and measurement of the scale are confirmed by the confirmatory factor analysis and by the multi-group invariance testing. Internal reliability, which was found using Cronbach\u2019s alpha, varies between .660 and .854. The results show that the instrument meets the validity and reliability criteria. To demonstrate its utility, the scale was applied to detect differences in sustainable development attitudes among students pursuing degrees in psychology and in agriculture. Relevant differences were detected for the dimensions of environment and society. The Attitudes toward Sustainable Development scale could be useful for understanding the ways in which students think about sustainability issues and could be used to investigate the relationship between sustainability attitudes and other variables

A Fifty-Year Sustainability Assessment of Italian Agro-Forest Districts

DistrictAs cropland management and land use shifted towards more intensive practices, global land degradation increased drastically. Understanding relationships between ecological and socioeconomic drivers of soil and landscape degradation within these landscapes in economically dynamic contexts such as the Mediterranean region, requires multi-target and multi-scalar approaches covering long-term periods. This study provides an original approach for identifying desertification risk drivers and sustainable land management strategies within Italian agro-forest districts. An Environmental Sensitivity Area (ESA) approach, based on four thematic indicators (climate, soil, vegetation and land-use) and a composite index of desertification risk (ESAI), was used to evaluate changes in soil vulnerability and landscape degradation between the years 1960 and 2010. A multivariate model was developed to identify the most relevant drivers causing changes in land susceptibility at the district scale. Larger districts, and those with a higher proportion of their total surface area classified as agro-forest, had a significantly lower increase in land susceptibility to degradation during the 50 years when compared with the remaining districts. We conclude that preserving economic viability and ecological connectivity of traditional, extensive agricultural systems is a key measure to mitigate the desertification risk in the Mediterranean region

Social capital, labour precariousness and the economic performance. An empirical assessment of the strength of weak ties in Italy

This paper carries out an assessment of the influence that different kinds of social ties exert on labour precariousness, on the state of health of urban environments and on the economic performance in Italy. Overall, the empirical evidence shows that weak ties connecting members of voluntary organizations positively affect the economic performance and the quality of urban ecosystems, differently from strong ties connecting family members and close friends, which, on the other side, are proved to reduce labour precariousness.Social capital, Social networks, Civil society, Economic development, Labour precariousness, Structural Equations Modelling

Social capital, labour precariousness and the economic performance. An empirical assessment of the strength of weak ties in Italy

This paper carries out an assessment of the influence that different kinds of social ties exert on labour precariousness, on the state of health of urban environments and on the economic performance in Italy. Overall, the empirical evidence shows that weak ties connecting members of voluntary organizations positively affect the economic performance and the quality of urban ecosystems, differently from strong ties connecting family members and close friends, which, on the other side, are proved to reduce labour precariousness.Social capital; Social networks; Civil society; Economic development; Labour precariousness; Structural Equations Modelling