Rural communities in the global economy: beyond the classical rural economy paradigms
In: Economic issues, problems and perspectives
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In: Economic issues, problems and perspectives
Quality of life and social welfare are objectives of the social policy of any state. The study aims to identify the influence of factors such as the circular economy, digital innovation, sustainable entrepreneurship on social progress and completes the current approach identified in the literature by assessing the dependencies between the phenomena represented by them. The quantification of the influences of the enumerated factors on social progress was achieved by identifying some synthetic indicators, such as composite indices, which would surprise the complexity of the analyzed phenomena. To measure the progress of the transition to the circular economy – using multivariate analysis methods – a composite indicator has been proposed and determined that allows the ranking of EU states according to its orientation, as a premise of social progress, and can substantiate the adjustment national policies. The integration of the proposed indicator in the regression models used, with similar indices, is done to highlight the impact of the circular economy, innovation and sustainable entrepreneurship on social progress. Thus, the adaptation of digital technologies in current business models, the development of sustainable innovative entrepreneurship support the transition from the linear economy to a circular economy and offer new study opportunities.
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In the financial market of insurance, consumer protection represents an important component contributing to the stability, discipline and efficiency of the market. In this respect, the activity of educating and informing insurance consumers on ensuring and exercising their right to claim plays a leading role in the mechanism of consumer protection. This study aims to improve the decision-making capacity of the financial services consumers from the Romanian insurance market through better information on ensuring and exercising their right to claim under the legislation. Thus, by applying three data analysis techniques – principal components analysis, cluster analysis and discriminant analysis – to the data regarding the petitions that were registered by the 41 insurance companies which operated in the Romanian market in 2012, a classification that assesses the insurance market transparency is achieved, resulting in a better information for consumers and, hence, the improvement of their protection through reducing the level of transactions that are harmful to consumers.
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Since migration is considered to play an important role on the attainment of the sustainable development goals (SDG's) this study analyses the reversed perspective of the migration-SDG's nexus. The data set consists of 308 observations on 28 European Union countries (including the United Kingdom) over a time span of 11 years (between 2008 and 2018). The analysis employed various stages of estimation in order to compare different results obtained from the panel data regression models. Besides the classical panel data regression models, the paper includes the estimation of Arellano-Bover/Blundell-Bond model that uses the Generalized Method of Moments (also known as GMM) as an econometric tool to solve the endogeneity of the selected variables. The focus is on two sustainable development goals: labour and economic growth, and education of the European Union member states plus the United Kingdom. The results showed that there is a significant influence of the selected variables on the migration flows at the European Union level. Although there are some contradictory results regarding the direction and statistical signifikance of the link between the variables of interest, most estimators do not have fundamentally different results. The GDP per capita keeps its positive impact on migration by generating an immigration flow towards countries with high GDP per capita. Economic growth proves to be the main trigger of migration, while education also plays an important role in shaping migration. The importance of this study derives from the reversed perspectives analysis, considering migration as being directly influenced by the achievement of the sustainable development goals.
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In: Land use policy: the international journal covering all aspects of land use, Band 82, S. 855
ISSN: 0264-8377