We check on the short term if self-employment in Romania influences unemployment and vice versa. Age, education and gender characteristics treat both variables, and self-employment considers both cases with and without employees. The objective is to look at the job creation and unemployment reduction in quarterly variation during the 1999Q1-2017Q3 period. On autoregressive models, we apply the Toda and Yamamoto (1995) procedure, detailed by Giles (2011), to assess for Granger Causality. We found for unemployment rates a push effect in the self-employment rate for adults and youth with low education level to self-employment without employees' rate for adults and self-employment with employees' rate for old adults. We establish a 'Schumpeter' effect for the adult with a low level of education self-employment to unemployment, for adults' males with tertiary education and selfemployed, and older adults self-employed without employees to unemployment. We conclude that unemployment work as an inclusion mechanism for some vulnerable groups but inefficient for others. Self-employment with employees is less diversified, indicating a high-risk aversion and low start-up effect. In general, the labour market presents a unidirectional flexibility effect.
Disruptive innovations generated by digital technologies push the public services to digital transformation in order to become not only a problems solver for community, but a real social, economic and environmental development engine. With all significant progress, the use of e-Government services in Romania remains the lowest in the EU; high quality services are not available in a significant part of rural areas. The paper highlighted the spatial heterogeneities of the broadband infrastructure at level of NUTS -5 expansion correlated to Low-Low (LL) high human capital clusters in public administration and marginalized rural areas. Using data from World Bank studies, provided in the ArcGis Cloud, from Romanian broadband investment prioritization and micro data provided by INS census, we developed a spatial cluster analysis by the means of ESDA method. In public administration the high human capital is clustered in a few innovative
Leadership of the future in an AI world is dependent on talents. Ethics, Cohesion, CSR, Brain drain and Talents literature points towards the ethical leadership. In a global world in deficit for talents, ethics could be the solution. Our research question is the job tenure a potential measure of ethical behaviour in a firm in view to attract and maintain talents. The first step of the study is presenting spatial analyse at regional level (NUTS2) for all 28 EU countries (254 regions), covering 2008-2018, for five key variables, data provided by Eurostat. Considered variables are employed in science and technology and employed persons in technology and knowledge intensive sectors, tertiary education, and participation in training, population ageing, and job tenure. The results are valuable inputs for Redefining Purpose and Strategy in the Fourth Industrial Revolution as Canals and Heukamp, (2020) announced. Regardless the depth and length of coronavirus crises, the Sneader and Singhal (2020) named "path to the next normal", has to be created by talents in an ethical manner. The future sustainable economic development depends on a total reshape of the relation with human resources and environment. Models of identifying, keeping, recalling and loyalty the talents are the starting points of renew the business management and the leadership.
The last years were of profound transformation in public services that knows more or less the challenge from the private sector. A second dimension of competitiveness for the public services staring from 2007 was the free access of the citizens to at least education and health services in European Union. The paper aims to show the evolution of the cohabitation of the public and private sectors on the services of public interest, their development and evolution in different regions. Identifying and highlighting the key issues in competitiveness and quality of the services provided, will give us the main lines for the further development and public policies that should be considered. Considering the cohesion policy of European Union, an analysis of the public and private sectors in public services in Romanian counties could drive us to a conclusion about the affordability and the quality of the services. Using the statistics it can be show the regional distribution of the service providers especially for education, health, water supply and other services. The integrated analysis we offer a global picture of the regional potential and development. Based on the findings the public decision makers could better set up the sectorial public policies and the public spending. Never the less, the European support could be also directed to increase the quality and efficiency of the public services.
The target for 2030 of reaching a 32% share of renewable energy in the gross final energy consumption can be achieved by speeding up the transformation pending the implementation of knowledge transfer (KT) policies that foster regional cooperation for the cost-effective development of renewables. The research purpose is the analysis of important factors in the development of the renewable energy sector through knowledge sharing and collaboration across the Member States in a comparable manner. The hypotheses are as follows: Hypothesis 1 (H1) there are synergies between knowledge transfer and economic impact through income and jobs for the renewable energy sector and Hypothesis 2 (H2) the EU countries have different profiles of synergy. The research proposition was established through the employment of a quantitative synergy and trade-offs analysis based on the knowledge transfer indicators and the sustainable development framework. The research method, namely the advanced sustainability analysis (ASA), uses the quantitative assessment tool for the understanding of synergies between two or three dimensions of sustainable development, presuming that the combined effect of the factors is greater than the sum of their individual effects. The current research comprises an evaluation of the renewable energy sector knowledge transfer policy models at the national level for 24 EU countries and four other European states, focusing on the capabilities to create synergies. The results of the study represent a valuable input for the policy makers, allowing for a coherent and sustainable planning and programming of the new electricity market, adopted through the Clean Energy Package, and following a highly dynamic and radically disruptive background, exploiting the ‘successful’ profiles.
Globalization and the Fourth Industrial Revolution or Industry 4.0 act as shocks on regional labor markets and regional economies. The presence of a digital economy has high spillover effects on regional development, job creation, economic resilience, and sustainability; furthermore, it valuates eco-innovation and the clean economy. We believe that the process of digital transformation has a robust impact on the green and clean aspects of the entire economy. The consistency of high digital-intensive (HDI) sectors can be evaluated through high digital-intensive employment, human resources, and technological infrastructure, as these are the main pillars of digital transformation. The shift-share analysis method (SSM) is used in this study on employment growth during 2008–2018 for the EU27, the United Kingdom, and Norway, combined with a second stage of exploratory spatial data analysis (ESDA). The findings on national growth, industrial mix, and competitiveness are presented in GIS mapping system considering the Local Indicators of Spatial Association (LISA) technique at the NUTS2 level. This approach allows us to determine the clustering level of high digital-intensive employment and sectors, resilience based on connectivity and eco-innovation, and the regional potential of digital transformation. Policymakers and political or governmental decision-makers could consider the results of the present study as the starting point for developing and implementing their policies for a sustainable green regional economy and determine the emerging area patches that need to be stimulated.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.