Stefan Alexandru Ionescu

Bio: Stefan Alexandru Ionescu is an academic researcher. The author has contributed to research in topics: Externality & Critical success factor. The author has an hindex of 2, co-authored 2 publications receiving 21 citations.

Do Environment-Related Policy Instruments and Technologies Facilitate Renewable Energy Generation? Exploring the Contextual Evidence from Developed Economies

Abstract: Attaining sustainable development and cleaner production is a major challenge both for developed and developing economies; income, institutional regulations, institutional quality and international trade are the key determinants of environmental externalities The current work attempts to study the role of environmental taxes and regulations on renewable energy generation for developed economies For that, the authors have used the annual dataset for the period 1994 to 2018 More specifically, the study investigates the impacts of environmental taxes, environment-related technologies and the environmental policy stringency index on renewable electricity generation in 29 developed countries Given the short available data of these countries, the authors have developed panel cointegration and panel regressions models (fully modified ordinary least square (FMOLS), quantile regressions) The heterogeneous panel empirics stated that environmental regulations and income level support renewable electricity generation The conclusions further mention that bureaucratic qualities such as decision making and trade openness tend to reduce renewable energy generation The empirical findings allowed us to draw new narrative and implications Overall, the conclusions argue that innovative regulations and policies can be useful for attaining specific sustainable development goals (eg, SDG-7: cleaner and cheap energy)

What Makes Coopetition Successful? An Inter-Organizational Side Analysis on Coopetition Critical Success Factors in Oil and Gas Distribution Networks

Abstract: This paper investigates the inter-organizational Critical Success Factors for coopetition in oil and gas distribution networks. Based on an extensive review of literature, 17 Critical Success Factors were identified and analyzed in the context of oil and gas distribution industry. We concluded that Trust, Outcomes, Outcomes distribution and Tension have the greatest impact on coopetition success within business networks, while Congruence, Governance, Inter-dependence and Equity, even though significant, have the lowest impact. The study contributes to the development of literature concerning Critical Success Factors in business networks by presenting an inter-organizational perspective, by providing a ranking of them, and by discussing the implications for oil and gas distribution companies.

Towards a theoretical framework of collaborative destination marketing : a case study of Elkhart County, Indiana

Abstract: Abstract The fragmented nature of the tourism industry requires a substantial degree of coordination and collaboration among the variety of different players in destination marketing. However, the studies on partnerships and collaboration have taken very narrow perspectives of cooperation relationships and therefore, none of them individually can explain the nature of marketing alliances and networks among tourism organizations. Based upon the results of previous research and a case study of Elkhart County, Indiana, this paper proposes a more integrative theoretical framework in an attempt to better describe and explain the nature and dynamism of collaborative destination marketing. The implications of this framework are provided from both practical and theoretical perspectives.

The increases and decreases of the environment Kuznets curve (EKC) for 8 OECD countries.

Abstract: In this paper, we investigate the validity of the environmental Kuznets curve (henceforth, EKC) hypothesis for 8 OECD countries. To this aim, we decompose the per capita GDP series into its increases and decreases and consider only increases by excluding decreases from the model. Therefore, this method may enable us to test the EKC hypothesis more accurately, in accordance with the original theory. Following decomposition, we apply the fixed-effect regression model with Driscoll-Kraay standard errors, and the common correlated effects mean group (CCEMG) estimator. Empirical findings indicate that while the undecomposed model with undecomposed per capita GDP series supports the EKC hypothesis for 4 out of 8 countries, the decomposed model with decomposed per capita GDP series does not do so for any country. Hence, these mixed results reveal a need to employ different alternative techniques, such as the data transformation/decomposition applied in this study, for testing the EKC hypothesis.

Investigating the role of environmental taxes and regulations for renewable energy consumption: evidence from developed economies

Abstract: The current study aims to explore the role of environmental taxes and regulations for the renewable energy consumption, focusing on reporting policy suggestions to overcome climate change issues an...