Hundreds of cities and communities in the world have joined the WHO’s Global Network for AgeFriendly Cities and Communities since 2010. In order to do quantitative assessments of the age friendliness of cities, the Age-Friendly Cities and Communities Questionnaire (AFCCQ) was developed for the Dutch municipality of The Hague. The purpose of this study was first to translate and test the validity and reliability of the AFCCQ for use in North Macedonia and second to explore perceptions on age-friendliness of the bicultural and bilingual City of Skopje. The AFCCQ proved valid for use in North Macedonia. Overall, older adults in Skopje experience the age-friendliness of the city as neutral (in seven out of nine domains). The best score (“slightly satisfied”) was found in the domain of Housing, which was rated positive in all ten municipalities. The lowest total score (“slightly dissatisfied”) was found in the domain of Outdoor spaces and buildings, which received negative scores in eight out of ten municipalities. In five out of nine domains differences were observed between the Albanian and Macedonian communities. The Albanian sample has slightly higher scores in two domains: 1) Housing and 2) Civic Participation and Employment, while the Macedonian sample scored higher in three domains: 1) Communication and Information; 2) Outdoor Spaces and Buildings and 3) Transportation. A hierarchical cluster analysis further revealed the presence of six distinct age-friendly typologies that can be used for a better understanding of subpopulations in the city and draft policies and action programs on the city level.
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The global agenda to move societies towards a more sustainable course of development also affects the lives of older people in our ageing populations. Therefore, it is important to understand the drivers, intentions and behaviours concerning sustainability among older adults. The aim of this study is to translate and cross-culturally validate an existing instrument (SustainABLE-16 Questionnaire), developed in the Netherlands, which measures how older people view the theme of environmental sustainability in their daily lives, for use in Romania, Poland, North Macedonia and Israel. The SustainABLE-16 covers three domains: 1) Pro-environmental behaviours; 2) Financial position; and 3) Beliefs. The scale was translated in Romanian, Polish, Macedonian, Albanian and Hebrew. Its 16 items were appraised for relevance by older people and experts in the field. A total of 2299 older people, including the original Dutch respondents, were included for the assessment of the level of measurement invariance across six languages, spoken in five countries. As the initial validation of the SustainABLE-16 did not meet internationally-recognised fit requirements, the shorter SustainABLE-8 was validated instead. This instrument proved valid for use in all participating countries (configural validity). Subsequently, increasingly constrained structural equation models were applied to test their fit with the data, ensuring that the fit did not deteriorate. The test results of measurement invariance across the countries indicated that items were stable, achieving partial scalar invariance, with five items demonstrating full scalar invariance. The shorter SustainABLE-8 functions uniformly across all language groups and can, therefore, be used to evaluate sustainable practices among older people. A better understanding of the drivers and practices among older citizens across Europe could, in turn, feed into more fitting public policies on sustainability in the built environment.
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Digitalization is the core component of future development in the 4.0 industrial era. It represents a powerful mechanism for enhancing the sustainable competitiveness of economies worldwide. Diverse triggering effects shape future digitalization trends. Thus, the main research goal in this study is to use sustainable competitiveness pillars (such as social, economic, environmental and energy) to evaluate international digitalization development. The proposed empirical model generates comprehensive knowledge of the sustainable competitiveness-digitalization nexus. For that purpose, a nonlinear regression has been applied on gathered annual data that consist of 33 European countries, ranging from 2010 to 2016. The dataset has been deployed using Bernoulli’s binominal distribution to derive training and testing samples and the entire analysis has been adjusted in that context. The empirical findings of artificial neural networks (ANN) suggest strong effects of the economic and energy use indicators on the digitalization progress. Nonlinear regression and ANN model summary report valuable results with a high degree of coefficient of determination (R2>0.9 for all models). Research findings state that the digitalization process is multidimensional and cannot be evaluated as an isolated phenomenon without incorporating other relevant factors that emerge in the environment. Indicators report the consumption of electrical energy in industry and households and GDP per capita to achieve the strongest effect.
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