Laura Georgeta Bărăgan

Prof. Dr. Laura Georgeta Bărăgan


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
30 September 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
CSCezar-Petre Simion
Cezar-Petre Simion
LBLaura Georgeta Bărăgan
Laura Georgeta Bărăgan
MVMihai Vrîncuț
Mihai Vrîncuț
Mădălina MazăreMădălina Mazăre
Mădălina Mazăre
The research presented in this article aimed to analyze the impact of circular economy initiatives on the European Union environmental goods and services sector. Data from the Eurostat databases were used to conduct the research. Validation of the five research hypotheses involved the formulation of two regression equations: the first one focused on innovation and recycling performance indicators, and the second equation focused on circular-economy indicators. Both models were estimated using country fixed-effects regression with Driscoll–Kraay standard errors to ensure robust inference. The regression model was selected based on the Hausman test and F-test, but tests for autocorrelation, heteroscedasticity, and multicollinearity were also performed. The main findings, as the results suggest, refer to the central role of private investment in circular sectors and resource productivity, both exerting positive and significant effects on the environmental goods and services sector (EGSS). The material footprint also shows a positive effect, but in contrast, the circular material use rate does not display a significant impact, indicating that increases in the share of recycled materials do not automatically translate into greater economic value.

10 September 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
CSCezar-Petre Simion
Cezar-Petre Simion
LBLaura Georgeta Bărăgan
Laura Georgeta Bărăgan
MVMihai Vrîncuț
Mihai Vrîncuț
Mădălina MazăreMădălina Mazăre
Mădălina Mazăre
The research presented in this article aimed to analyze the impact of circular economy initiatives on the European Union environmental goods and services sector. Data from the Eurostat databases were used to conduct the research. Validation of the five re-search hypotheses involved the formulation of two regression equations: the first one focused on innovation and recycling performance indicators, the second equation fo-cused on circular-economy indicators. Both models were estimated using country fixed-effects regression with Driscoll–Kraay standard errors to ensure robust inference. The regression model was selected based on the Hausman and F-test, but tests for au-tocorrelation, heteroscedasticity and multicollinearity were performed. The main findings, as the results suggest, refer to the central role of private investment in circu-lar sectors and of resource productivity, both exerting positive and significant effects on the EGSS. The material footprint also shows a positive effect but in contrast, the circular material use rate does not display a significant impact, indicating that in-creases in the share of recycled materials do not automatically translate into greater economic value.

13 March 2025 in Preprints.org
Verified
Preprint
Open access
PDF file
Otilia MantaOtilia Manta
Otilia Manta
LBLaura Georgeta Bărăgan
Laura Georgeta Bărăgan
In the digital era, the rapid acceleration of change necessitates that organizations cultivate adaptability as a core capability. To maintain a competitive edge, businesses must develop agile structures that facilitate continuous learning, foster innovation, and enable dynamic responses to shifting market conditions. Digital transformation and globalization have intensified the need for leveraging data, automation, and advanced analytics as strategic assets, reinforcing information’s central role in the knowledge economy. This study advances research on knowledge transfer by investigating the critical factors influencing the dissemination of managerial know-how within organizations. Utilizing the DEMATEL (Decision-Making Trial and Evaluation Laboratory) method, the research systematically maps the causal relationships between key enablers and constraints, offering a more nuanced understanding of how managerial knowledge flows in technology-driven business environments. By identifying the most influential drivers, this study provides actionable insights for enhancing knowledge transfer efficiency and optimizing organizational adaptability.CCS Concepts: Mathematics of computing • Applied computing ➝ Machine learning, social and behavioral sciences ➝ Digital economy.