• Energy Research

This research examines several modellers of immigration flows deployed within the European Union (EU), as well as their economic consequences upon the most targeted ten migrant receiving countries. The paper’s aim is to identify specific ways in which migrants can contribute to host countries’ sustainable development through positive spillover upon natives, labour market performance, and the overall economic activity. A set of methods and macro-econometric models, based on country fixed effects, spatial analysis, and structural equations modelling, was applied on a balanced panel formed by ten EU host economies. We analysed distinctly the labour and humanitarian (asylum seekers) migration flows, considered throughout two separate time periods, namely 2000–2015 and 2000–2019 (2019 being the deadline for Brexit negotiations). The results highlight that the immigration flows were mainly shaped by labour market outcomes, while the primary positive immigration impact was induced upon the gross domestic product (GDP) per capita and employment levels, both for natives and the foreign population.

Management financial incentives are an effective way to attract, retain and stimulate managers with beneficial spillover effects on firm performance. This paper explores the relationship between board and executive management compensation and remunerations and the financial performance of European companies from various industries in a sustainable development framework. The sample covers 1594 firms with data extracted from Thomson Reuters Eikon (Refinitiv, New York, NY, USA) databases from 2019 and a selection of specific indicators. The complex methodological endeavor encompassed by our research embeds several robust and two-stage least squares (2SLS/IV) regression models, structural equation modelling, including latent class analysis and network analysis through Gaussian Graphical Models. Main results bring to the fore that management financial incentives/packages reverberate positively and significantly on the performance of European firms, leading to important upwards in enterprise value and company earnings. Moreover, the sustainability indicators (committee, policy, energy use, renewable energies) also have positive effects on the financial performance of analyzed companies, being discussed extensively within the paper.

The research conducted in this paper aims to examine the role of energy innovations, digital technological transformation, and environmental performance in enhancing the sustainable economic development of the European Union (EU) countries, widely shaped by the globalization process. An advanced empirical analysis is configured on a cross-sectional dataset of EU-27 Member States compiled at the level of 2018 based on several modern econometric procedures, namely robust regression, structural equation modelling (SEM) and network analysis through Gaussian graphical models (GGM). We apply the econometric procedures to firstly identify and assess the direct, indirect, and total interlinkages between all considered variables, as well as their further cumulated spillover impact on sustainable economic development. EU countries are afterward clustered according to the Ward method inset on hierarchical clustering for an in-depth assessment and tailored policy design by accounting for the level of financial and trade globalization (captured through the KOF Index of Globalization), environmental performance and sustainability (captured through the Environmental Performance Index—EPI), and the degree of integration of digital technologies (proxied through the Digital Economy and Society Index—DESI). Main results highlight that there are significant beneficial effects induced by energy innovations, increased environmental performance and digital transformation on the sustainable development of EU countries, with notable differentiation among them. Policy guidelines and strategic directions are also enhanced and largely presented within the paper.

This study is set out to identify feasible ways for immigrants’ integration into the major ten host countries within the European Union (EU-10) and increased labor market performance. Eurostat, OECD, and United Nations High Commissioner for Refugees (UNHCR) official data was mainly used to capture essential international migration indicators (for both dimensions—economic and humanitarian), along with education, socio-economic development and labor market credentials, as key variables for immigrants’ integration into EU-10, compiled for 2000–2017. In this respect, spatial analyses, bootstrap estimations, structural equations (SEM), and Gaussian graphical models (GGM) are applied, to better grasp migrants’ labor market outcomes. Significant positive consequences reflected through a reduction in the unemployment rate of the foreign population are generated by active labor market policies, jointly with an enhancement in the attainment for secondary education, and welfare advances. The opposite, a rise in income inequalities has negative effects, while additional support for R&D activities deployed within the business sector is required to entail migrants’ labor market performance. The passive policies need to be redesigned and tailored to significantly downsize the foreign unemployment, since these are currently acting like a disincentive for an active participation of migrants on the European labor market, thus confining their integration.

This study investigates the interlinkages between the dimensions of corporate social responsibility (CSR-economic, environmental, social), financial performance (ROA, ROE), and corporate governance (CG), by applying the structural equation modeling technique (SEM). It is based on a sample of 614 large companies from the European Economic Area, covering specific indicators published by the Thomson Reuters database, for the years 2013–2017. The equation models are structured starting from isolated dependencies between variables, up to the global ones (direct, indirect, and total dependencies). The mixed results obtained imply that the nature and heterogenous content of CSR lead to different statistical dependencies for each of the two financial performance indicators. ROA is positively influenced by the economic dimension of CSR, but, the level of this rate does not necessarily contribute to an increase in the involvement of the company in this type of CSR actions. At the same time, ROA is influenced and affects in a negative way the environmental and social dimensions of CSR. In the case of ROE, it is influenced and impacts the economic and social dimensions in a positive way. The environmental dimension of CSR influences ROE positively, but it is negatively affected by this profitability rate. Corporate governance exerts a positive impact on all of the model’s variables, both as a direct and indirect factor of influence.