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The strong interdependency between economic growth and conventional energy consumption have led to significant environmental impact, especially with respect to greenhouse gas emissions. Conventional energy-intensive industries release increasing quantities every year, which has prompted global leaders to consider new approaches based on sustainable consumption. The main purpose of this research is to propose a new energy index that accounts for the complexity and interdependences between the research variables. The methodology is based on Principal Component Analysis (PCA) and combines the key components determined into a score that allows for both temporal and cross-country comparisons. All data analyses were performed using IBM SPSS Statistics 25™. The main findings show that most countries improved their economic performance since 2014, but the speed of the improvement varies a lot from one country to another. The final score determined reflects the complex changes taking place in each country and the efficiency of the governmental measures for sustainable economic growth based on low energy consumption and low environmental pollution.
Ane-Mari Androniceanu; Raluca Căplescu; Manuela Tvaronavičienė; Cosmin Dobrin. The Interdependencies between Economic Growth, Energy Consumption and Pollution in Europe. Energies 2021, 14, 2577 .
AMA StyleAne-Mari Androniceanu, Raluca Căplescu, Manuela Tvaronavičienė, Cosmin Dobrin. The Interdependencies between Economic Growth, Energy Consumption and Pollution in Europe. Energies. 2021; 14 (9):2577.
Chicago/Turabian StyleAne-Mari Androniceanu; Raluca Căplescu; Manuela Tvaronavičienė; Cosmin Dobrin. 2021. "The Interdependencies between Economic Growth, Energy Consumption and Pollution in Europe." Energies 14, no. 9: 2577.
Jani Kinnunen; Irina Georgescu; Zahra Hosseini; Ane-Mari Androniceanu. Dynamic indexing and clustering of government strategies to mitigate Covid-19. Entrepreneurial Business and Economics Review 2021, 9, 7 -20.
AMA StyleJani Kinnunen, Irina Georgescu, Zahra Hosseini, Ane-Mari Androniceanu. Dynamic indexing and clustering of government strategies to mitigate Covid-19. Entrepreneurial Business and Economics Review. 2021; 9 (2):7-20.
Chicago/Turabian StyleJani Kinnunen; Irina Georgescu; Zahra Hosseini; Ane-Mari Androniceanu. 2021. "Dynamic indexing and clustering of government strategies to mitigate Covid-19." Entrepreneurial Business and Economics Review 9, no. 2: 7-20.
The current phenomenon of the economy-accelerated digitalization, known as the “Industry 4.0”, will generate both an increased productivity, connectivity and several transformations on the labor force skills. Our research objectives are to determine the influence that digitalization has had on the workforce in several developed countries and to propose a new composite indicator that reflects these dynamics over time. We have used the Canonical Correlation Analysis (CCA) in order to identify and analyze the correlations between two sets of variables, an independent one and a dependent one. Data were collected from the World Bank and World Economic Forum for the years 2018–2019. Based on the results of our research we have determined and made a consistent analysis of the new composite index of digitalization and labor force in 19 countries. The results of our research are relevant and show not only the impact of digitalization on the labor force in different countries, but also the structural changes required by the new economic and social models. Our research can help decision-makers get in advance the necessary measures in the field of labor force in order to ensure a proper integration of these measures into the new economic model based on digitalization.
Ane-Mari Androniceanu; Irina Georgescu; Manuela Tvaronavičienė; Armenia Androniceanu. Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0. Sustainability 2020, 12, 6812 .
AMA StyleAne-Mari Androniceanu, Irina Georgescu, Manuela Tvaronavičienė, Armenia Androniceanu. Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0. Sustainability. 2020; 12 (17):6812.
Chicago/Turabian StyleAne-Mari Androniceanu; Irina Georgescu; Manuela Tvaronavičienė; Armenia Androniceanu. 2020. "Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0." Sustainability 12, no. 17: 6812.