Browsing by Author "Lincaru, Cristina"

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Competitiveness and sustainable development in public services
(Sciendo, 2019-03) Grigorescu, Adriana; Lincaru, Cristina; Pîrciog, Speranța; Chițescu, Răzvan Ion
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.
Development of a Green Competency Matrix Based on Civil Servants' Perception of Sustainable Development Expertise
(MDPI, 2023-09) Grigorescu, Adriana; Munteanu, Ionela; Dumitrică, Cătălin Daniel; Lincaru, Cristina
This paper analysed the responses of 242 civil servants collected during a survey for public authorities personnel with management or executive responsibilities. The survey focused on the perception of respondents regarding the key competencies and the utility of the sustainability development expert occupation (SDE). Based on the assumption that the responses were influenced by multiple factors, the impact of perceptual theory, agency theory and sustainability theory calibrated the analysis of the collected data. Cronbach's alpha was used to test the reliability of the received responses and multinominal logistic regression with a single dichotomous variable (Regulation Awareness) and several continuous predictor variables (Specialization, Knowledge, Attributions and Competence) was employed to determine to what extent the SDE occupation would contribute to the implementation of sustainable development policies. This paper argues that the 'green' competency matrix appropriate for the implementation of sustainable development policies should include executive, compliance promoting, ethical and reporting competencies. The creation of a green competency matrix is an important step toward changing the organisational culture of the public or private sectors to achieve sustainable and reliable development. This research can help organizations and public authorities understand where their efforts should be focused to efficiently incorporate sustainability development into their systems.
E-Banking Convergence and the Adopter's Behavior Changing Across EU Countries
(SAGE , 2023-10) Grigorescu, Adriana; Oprișan, Oana; Lincaru, Cristina; Pîrciog, Speranța
"The concepts of internet banking and mobile banking have led to changes in people's financial behavior in terms of earning, consuming, and saving. This new concept, which entered the market quite recently, was used at the beginning of the new digital technology in various types of activities, banking operations, and nowadays these services are used by all people who want to save through banks or create new sources of income, as well as to make quick currency exchanges without going to credit institutions. The main purpose of this paper is to analyze people's behavior toward new digital technologies, e-banking adoption, and non-banking financial institutions internet services. The objectives pursued are: whether e-banking users are homogeneous in their characteristics in the EU 27 and which users have the most convergent or divergent behavior in the EU 27. Statistical data taken from Eurostat 2023 was used for the Sigma convergence analysis, the time series taken into consideration being from 2004 to 2022. The results showed that the changes in the procedural-fiscal-financial sphere are the ones that fully reflect the two principles underlying the tax evolution: digitization and simplification. These results confirm that people are adopting the new digital technology and change their behavior from consumer to prosumer. The study shows that all most categories adopted e-banking using new digital technologies when it comes to consumption and saving, with few exceptions that should be carefully supported. E-Banking convergence and the adopter's behaviour within the EU CountriesThe concepts of internet banking and mobile banking have led to changes in people's financial behavior in terms of earning, consuming, and saving. This new concept, which entered the market quite recently, was used at the beginning of the new digital technology in various types of activities, banking operations, and nowadays these services are used by all people who want to save through banks or create new sources of income, as well as to make quick currency exchanges without going to credit institutions. The main purpose of this paper is to analyze people's behavior towards new digital technologies, e-banking adoption, and non-banking financial institutions internet services. The objectives pursued are: whether e-banking users are homogeneous in their characteristics in the EU 27 and which users have the most convergent or divergent behavior in the EU 27. Statistical data taken from Eurostat 2023 was used for the Sigma convergence analysis, the time series taken into consideration being from 2004 to 2022. The results showed that the changes in the procedural-fiscal-financial sphere are the ones that fully reflect the two principles underlying the tax evolution: digitization and simplification. These results confirm that people are adopting the new digital technology and change their behavior from consumer to prosumer. The study shows that all most categories adopted e-banking using new digital technologies when it comes to consumption and saving, with few exceptions that should be carefully supported. Digital transformation is not just about buying new, modern equipment, or retrieving data quickly and securely, but also about the technical implementation of state-of-the-art IT systems. It should be noted that digitization has had important effects on both public and private organizations and people, which can be translated as follows: time saved in people's interaction with public and private organizations; efficiency in administrative processes; transparency in their work. The economic environment becomes much more attractive and leads to investment and innovation in all areas. The digitization of all public or private services would also strengthen the administrative capacity of the whole population. Through studies, research, and future studies, it is essential to analyze and demonstrate that new digital technologies and their use could lead to the elimination of tax fraud, increased public confidence in local or central government and confidence in business. Finally, we can say that it is essential that new research in the field of digitization and e-banking use strengthens the literature reviews and explains at a higher level the answers to all research questions."
Economic Resilience and Sustainable Finance Path to Development and Convergence in Romanian Counties
(MDPI, 2023-10) Oprișan, Oana; Pîrciog, Speranța; Ionașcu, Alina Elena; Lincaru, Cristina; Grigorescu, Adriana
Economic resilience and sustainable finance are two interlinked and crucial issues for development and convergence in Romania's counties increasing cohesion. These issues can contribute to sustainable and balanced growth of local and regional economies and to the reduction of inequalities in regional development. Economic resilience in counties refers to their capacity to adapt and survive in the face of unforeseen economic shocks or challenges, and sustainable finance refers to ensuring responsible management of financial resources to support long-term development and protect the environment. Identifying and understanding the significant variations in economic resilience and sustainable financing between counties is essential for the formulation of regional development policies and strategies. These variations provide valuable information about the vulnerabilities and opportunities of individual counties and guide resource allocation and investment decisions. The research provides new data and relevant information on the significant variations among counties in economic resilience and sustainable financing, using a Markov transition probability matrix and exploratory-visual method. This study on Romanian counties aims to provide valuable information for the formulation of public policies to support balanced economic development across the country. The results showed that economic diversification is essential to increase the resilience of the economy to shocks and fluctuations. Counties that have a diversified economic structure, with multiple sources of income and economic activities, are less vulnerable to the negative impact of economic or natural events. Governance and political stability are key factors in creating a favorable environment for investment and economic development. Well-managed government policies can help maintain macroeconomic stability and increase the resilience of the economy to external fluctuations.
Low-Low (LL) high human capital clusters in public administration employment - predictor for digital infrastructure public investment priority - Romania case study
(Enterpreneurship & Sustainability Center, 2018-12-30) Lincaru, Cristina; Pîrciog, Speranța; Grigorescu, Adriana; Tudose, Gabriela
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 hubs which in the absence of a functional and interconnected national administration IT system makes difficult the public administration modernization, especially in the context of regional decentralization. At the county level is visible the pattern of center periphery, where the center is usually the county residence and the LL clusters are the frontier of the counties. Usually, at this frontier are located marginalized rural areas where are provided poor public services. As a recommendation, the future e-government development must be spatial harmonized with the high human capital in order to assure a valuable public service, everywhere, whether it is the smallest village or a big city, to reconnect the public to the state and the state to the public in an inclusive and intelligent manner.
Mapping European high-digital intensive sectors-regional growth accelerator for the circular economy
(Frontiers , 2023-01-06) Pîrciog, Speranța; Grigorescu, Adriana; Lincaru, Cristina; Popa, Florin Marius; Carlson, Ewa Lazarczyk; Sigurdarson, Hallur Thor
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.
Mapping European high-digital intensive sectors—regional growth accelerator for the circular economy
(Frontiers Media, 2023-01-06) Pîrciog, Speranța; Grigorescu, Adriana; Lincaru, Cristina; Popa, Florin Marius; Lazarczyk Carlson, Ewa; Sigurdarson, Hallur Thor
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.
Mapping post crises the European job growth in travel agencies and tour operator reservation services
(Routledge Journals, Taylor & Francis , 2021-01-01) Grigorescu, Adriana; Lincaru, Cristina; Pîrciog, Speranța; Chițescu, Răzvan Ion
World Tourism Organisation, declares the Tour Operators as tourism engine of strategically importance to support jobs and inclusive growth in all regions. Tour operators emerges following the 2008 crises, as a global job engine. Its atypical profile of highest human capital concentrator in tourism, attract and retain talents, works digital with a high-intensity information use. Is a rapid adopter of technological innovation, generate high value added in highly competitive global markets. We look in this paper to understand why employment is growing or declining in a regional tourism tour operator sector during 2008-2018, in some EU28 regions? We use Exploratory Spatial Data Analysis to map the indicator 'tour operator's employment growth' components decomposed by the Shift Share Analysis Method. Analysed Eurostat data for 266 regions (281 regions) indicates that for the average regional tour operators employment growth heterogeneity is driven almost at half by region-specific factors. The main contributions are: identifying this indicator as appropriate to be a core one in OECD (2013) tourism competitiveness framework & redefine tour operator sector as a core sector of tourism in the Global model of tourism of Harrison.
Parabolic Modeling Forecasts of Space and Time European Hydropower Production
(MDPI, 2024-06) Lincaru, Cristina; Grigorescu, Adriana; Dincer, Hasan
Renewable sources of energy production are some of the main targets today to protect the environment through reduced fossil fuel consumption and CO2 emissions. Alongside wind, solar, marine, biomass and nuclear sources, hydropower is among the oldest but still not fully explored renewable energy sources. Compared with other sources like wind and solar, hydropower is more stable and consistent, offering increased predictability. Even so, it should be analyzed considering water flow, dams capacity, climate change, irrigation, navigation, and so on. The aim of this study is to propose a forecast model of hydropower production capacity and identify long-term trends. The curve fit forecast parabolic model was applied to 33 European countries for time series data from 1990 to 2021. Space-time cube ArcGIS representation in 2D and 3D offers visualization of the prediction and model confidence rate. The quadratic trajectory fit the raw data for 14 countries, validated by visual check, and in 20 countries, validated by FMRSE 10% threshold from the maximal value. The quadratic model choice is good for forecasting future values of hydropower electric capacity in 22 countries, with accuracy confirmed by the VMRSE 10% threshold from the maximal value. Seven local outliers were identified, with only one validated as a global outlier based on the Generalized Extreme Studentized Deviate (GESD) test at a 5% maximal number of outliers and a 90% confidence level. This result achieves our objective of estimating a level with a high degree of occurrence and offering a reliable forecast of hydropower production capacity. All European countries show a growing trend in the short term, but the trends show a stagnation or decrease if policies do not consider intensive growth through new technology integration and digital adoption. Unfortunately, Europe does not have extensive growth potential compared with Asia-Pacific. Public policies must boost hybrid hydro-wind or hydro-solar systems and intensive technical solutions.
Regional Digital Resilience and the 4Helix Model-The Higher Education Institutions' Case in Romania
(MDPI, 2023-06) Grigorescu, Adriana; Lincaru, Cristina; Sigurjonsson, Throstur Olaf; Pîrciog, Speranța
Against the background of multiple and simultaneous global socio-economic shocks, coupled with digital transformation and the green transition, regional resilience triggers new structural transformations. The more complex processes that need to be addressed now require the usage of complex integrated tools. The novelty of the integrated approach is the combination of the models and the synthetic spatial-temporal picture offered. The quadruple helix, or 4Helix, model puts Higher Education Institutions (HEIs) at the nexus of generating regional digital resilience. We posit a new mindset and behavior of human capital to reinforce innovation and knowledge production and transfer. We explore, using the Romanian national case, to what degree the spatial 4Helix model generates regional digital resilience as a positive externality of adoption of the 'new normal' digital education. We analyze this process in three steps. (1) We determine the spatial distribution of HEIs at the Romanian county level (NUTS3). (2) We calculate the regional static and dynamic resilience indexes (at NUTS2) as the outcome of the method for multi-criteria decision making (MCDM) by each region's digital economy as well as individual and regional wealth, social digital use and social digital connectivity dimensions. (3) Lastly, we provide the result of overlaid maps and radar charts (using HEIs number and spatial coverage and each region's static and dynamic digital resilience). These three classes of digital resilience models of 4Helix by region indicate a generalized failure in adopting digital education in Romania. The study contributes by adding a powerful tool to explore the complex processes or phenomena and generating an integrated perspective using a pre-existing framework. In doing so, it enables researchers to better understand and address society's needs, co-create knowledge and solutions together with the end-users, maximize the impact of these solutions, optimize resources usage, and increase the transparency and accountability of the decision-making processes.
Self-employment and unemployment relationship in Romania - Insights by age, education and gender
(Routledge Journals, Taylor & Francis, 2020-01) Grigorescu, Adriana; Pîrciog, Speranța; Lincaru, Cristina
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 self-employed, 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.
Specialization Patterns for the Development of Renewable Energy Generation Technologies across Countries
(MDPI, 2023-10) Grigorescu, Adriana; Lopez Ruiz, Victor Paul; Lincaru, Cristina; Condrea, Elena
Renewable energy is a global priority, as it addresses the goals of carbon neutrality and plays an important role in reshaping energy mixes. The shift from fossil fuels to renewable energy sources (solar, photovoltaic, geothermal, hydropower, wind, and biomass) must be performed without negatively affecting economic growth or our quality of life. Renewable energy-generating technologies (patents) and their implementation (commercialization and usage) play essential roles, as they are the main steps in the process of the transition from conventional to emerging technologies. The decreased usage of fossil fuels, the objectives of the European Green Deal, and other constraints have pushed countries to seek innovative solutions. Depending on the available resources, these solutions involve a wide variety of approaches and may involve the emergence of specific patterns. This study addresses the identification of the cross-country features of specialization patterns in developing renewable energy generation technologies. The methods used are the analysis of the evolution of patent numbers with country fractional value, the application of the Herfindahl-Hirschman Index to renewable energy generation, and the use of the multivariate clustering spatial statistics tool combined with spatial representation. The findings show the differences between countries at the global level and, more specifically, at the EU level, by clustering the countries based on their specialization pattern of renewable energy generation technologies. EU countries belong to the same cluster at the international level, and the deep clustering model shows four patterns. Moreover, the findings highlighted the country profile to be used as a competitive advantage and the group of countries with the same or similar pattern that could be used as partners in implementing new technologies or as models for future actions. The geographical distribution of the specialization offers a picture of potential market development for patents and renewable energy technologies. The countries specialization is a hotspot for decision makers for further developments and policy design support.
Synergy Analysis of Knowledge Transfer for the Energy Sector within the Framework of Sustainable Development of the European Countries
(MDPI, 2022-01) Grigorescu, Adriana; Ion, Amalia Elena; Lincaru, Cristina; Pîrciog, Speranța
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.