Inequality and social capital in the EU regions: a multidimensional analysis

Parente, Francesca

doi:10.1080/21681376.2018.1558105

Cited by 8 publications

(6 citation statements)

References 46 publications

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“…The analysis carried out using HDI as the independent variable over the medium term (Table 4); helps us to intuit that the form following the inequality (for the complete sample) has an inverted-U form; indeed, this is as the actual analysis points out. We can therefore expect that in the future, it will effectively decrease the inequality, just as Kuznets argued, as supported by Parente (2019). Again, the term constant is very significant and positive.…”

Section: Robustness Analysismentioning

confidence: 66%

Inequality and development: is the Kuznets curve in effect today?

2020

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The aim of this work is to study the Kuznets curve in order to examine whether the hypothesis on inequality and development that he posited in his 1955 article is verified or not when using the data at our disposal today; these data are more numerous, both for countries and periods available, than when Kuznets originally conducted his study. The approach that makes this research unique is that it will be performed by differentiating the sample in terms of underdeveloped and developed countries. In this regard, at present (with the data and methodologies of Cochrane-Orcutt and GMM System), the Kuznets hypothesis seems to be robustly verified because, when taking a variable other than the Log GDPpc (GDP per capita in logarithms) as a measure of development, such as the HDI or the proportional contribution of the agricultural sector on GDP, the relationship described by Kuznets still seems to be present; this is not a regularity when using the basic GDPpc variable. Moreover, it has been observed that, over the very long term, the Milanovic hypothesis seems to appear; namely, that inequality follows a sinusoid form rather than a concave curve. Finally, a section has been included in which we see how the 3 effects (scale, technique and composition) of world trade on inequality affect, as has been applied in recent years on CO2 emissions in the Environmental Kuznets Curve (EKC).

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Section: Robustness Analysismentioning

confidence: 66%

Inequality and development: is the Kuznets curve in effect today?

2020

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“…To analyse social trust or, more generally, social capital, it is now common to use a composite measure that combines a large array of indicators related to cooperative norms and the density of associational networks. In this study, social trust is calculated following the methodology used in Parente [46].…”

Section: A1 Measuring Social Trustmentioning

confidence: 99%

“…Social capital is a complex notion, which includes various components such as trust, fairness and helpfulness, and social relations[46].…”

mentioning

confidence: 99%

Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe

2021

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Often presented as a global pandemic spreading all over the world, COVID-19, however, hit not only countries but also regions differently. The objective of this paper is to focus on the spatial heterogeneity in the spread of the COVID-19 pandemic and to contribute to an understanding of the channels by which it spread, focusing on the regional socioeconomic dimension. For this, we use a dataset covering 125 European regions in 12 countries. Considering that the impact of the COVID-19 crisis differed sharply not only across countries but also across regions within the same country, the empirical strategy is based, on the one hand, on an exploratory analysis of spatial autocorrelations, which makes it possible to identify regional clusters of the disease. On the other hand, we use spatial regression models to capture the diffusion effect and the role of different families of regional factors in this process. We find that the share of older people in the population, GDP per capita, distance from achieving EU objectives, and the unemployment rate are correlated with high COVID-19 death rates. In contrast, the number of medical practitioners and hospital beds and the level of social trust are correlated with low COVID-19 death rates.

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“…Innovation is not the only dimension of adaptive capacity. Other aspects of adaptive capacity, such as social capital, have been explored at the regional level in previous studies on European growth and inequality (Muringani et al, 2021;Parente, 2019). Future work could examine the extent to which social capital is an important component of adaptive capacity to respond to the declines associated with phase-out of high-carbon industries.…”

Section: Adaptive Capacity: Innovation Potentialmentioning

confidence: 99%

Mapping regional vulnerability in Europe’s energy transition : development and application of an indicator to assess declining employment in four carbon-intensive industries

McDowall

Reinauer

Fragkos³

et al. 2022

Preprint

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Europe’s transition to an energy system compatible with limiting global heating to 1.5°C will require radical changes in energy systems. While this will create substantial new growth industries in clean technologies, some currently important economic activities will decline. The impacts of that transition will not be the same for all regions. We map the economic vulnerability of European regions to ambitious decarbonisation scenarios. To do so, we develop a composite vulnerability indicator that combines each region’s share of employment in a set of high carbon industries with other dimensions of vulnerability and resilience. We then explore how regional patterns of vulnerability are influenced by the technology pathway to 2050, using four scenarios modelled using the European PRIMES model. We show that economic vulnerability to the low-carbon transition is regionally concentrated, with some regions combining high employment shares in industries expected to decline with weak adaptive capacity and high pre-existing unemployment. We also show that there is little variation in regional vulnerability arising from different transition pathways. All scenarios compatible with 1.5°C involve large declines in all high-carbon sectors we analyse, and as a result scenario variation does not lead to large variation in relative vulnerability of regions. The results highlight regions that may be in need of additional policy support to diversify their economies and achieve a just transition.

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Inequality and social capital in the EU regions: a multidimensional analysis

Cited by 8 publications

References 46 publications

Inequality and development: is the Kuznets curve in effect today?

Inequality and development: is the Kuznets curve in effect today?

Are regions equal in adversity? A spatial analysis of spread and dynamics of COVID-19 in Europe

Mapping regional vulnerability in Europe’s energy transition : development and application of an indicator to assess declining employment in four carbon-intensive industries

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