Economic and Environmental Implications of Energy Taxes: Evidence from Romania

Begu, Liviu Stelian; Meşter, Ioana; Simuț, Ramona; Sehleanu, Mariana; Diana, Perticas

doi:10.24818/18423264/53.3.19.02

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…Starting from the results obtained from the Johansen-Juselius cointegration tests, we can decide if the application of the VECM model is the most appropriate method for each model. After we normalized the cointegrating vector to estimate the error correction model (ECM) of the dynamic structure, we had (Andrei & Bourbonnais, 2017, Begu et al, 2019:…”

Section: Empirical Results and Discussionmentioning

confidence: 99%

ECONOMIC GROWTH AND R&D EXPENDITURE IN ROMANIA. AN EMPIRICAL RESEARCH

Simuț¹,

SIMUȚ²

2022

Proceedings of the International Management Conference

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Research and Development (R&D) seems to be an important element in economic growth, provided it is coupled with several other factors. The benefits of R&D are quantifiable in the long run, as well as in the short run. R&D brings benefits not only at a local level, but also at a regional level, and if done right, it influences nearby countries or states. Private and public funding for R&D are different and bring in different results. As for the source of funding, it seems that government funding is less efficient, compared to private funding. Either way, R&D is beneficial for governments because they can exploit the research output. Higher education produces more R&D, if properly funded, and business enterprises can either exploit or grow around R&D and its output. The aim of this study is to investigate the relationship between the economic growth and the R&D Expenditure in Romania. We used the Johansen cointegration test, VECM model and Granger causality. The findings suggest that R&D Expenditure in the Business enterprise sector corrects the previous period disequilibrium faster than the other two variables, so 10% of this disequilibrium is corrected within the first year from R&D Expenditure in Business enterprise to GDP. In the shortrun, the R&D Expenditure in the Business enterprise sector does not influence the GDP, while the other two variables, R&D Expenditure in the Higher Education sector and R&D Expenditure in the Government sector to GDP, influence the GDP in the short run.

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Section: Empirical Results and Discussionmentioning

confidence: 99%

ECONOMIC GROWTH AND R&D EXPENDITURE IN ROMANIA. AN EMPIRICAL RESEARCH

Simuț¹,

SIMUȚ²

2022

Proceedings of the International Management Conference

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“…The rapid growth of the tourism industry has also enabled connected industries to grow and develop as well. The growth of these adjacent industries and sectors, e.g., energy, public sector, domestic consumption [55] further promotes tourism, as suggested by the results of the Vector error correction model, as a unidirectional relationship. Our findings provide further support to the previous findings of SanchezCarreraetal.…”

Section: Conclusion and Future Researchmentioning

confidence: 94%

Does Tourism Affect Economic Growth of China? A Panel Granger Causality Approach

Cherian

Sial

et al. 2021

Sustainability

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The main purpose of the current study is to investigate if tourism affects economic growth of China. The data set has been acquired from the Beijing Municipal Bureau of Statistics, and the time span of the data set takes into account a 20-year time period, from 2000 to 2019. To determine the strength of the above-mentioned relationship previous models that have been used for this research are mainly VAR (vector auto-regression) and VECM (vector error correction) models. The VAR and VECM models have been conducted together with the Granger causality test. The internal revenue generated from tourism-related activities is taken as being the main indicator for the tourism industry, while economic growth is determined by GDP (gross domestic product). We support the above-mentioned notion, as we found that a strong relationship exists between the development of the tourism industry and economic growth. Moreover, our analysis also indicates that this industry has a major impact on long-term economic growth in the region as well. This study thus provides further support to the existing literature on the topic of tourism and the impact that tourism-related activities have upon economic development and growth. The existence and the impact of tourism-related activities upon long-term economic growth were confirmed by the results of the VAR models. At the same time, the unidirectional results of VECM models have confirmed the existence of economic growth in the short term. In our case, the cardinal relationship between the development of the tourism industry and the economic growth in the Beijing region of China have managed to provide strong empirical support to the earlier stated notions and to the literature alike.

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“…erefore, in the context of GL and GSCM, the government should fully coordinate the relationship between energy demand and economic growth and adopt eco-friendly strategies, such as deploying renewable energy and environmental innovation, to achieve sustainable environment [92,93].…”

Section: Gmm Panel Estimation Regression Of Energymentioning

confidence: 99%

Green Supply Chain Management, Environmental Degradation, and Energy: Evidence from Asian Countries

Zhu

Tian

2021

Discrete Dynamics in Nature and Society

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The purpose of this study is to test the relationship among green logistics, environmental degradation, and energy demand. The system generalized method of moment (system GMM) is used to study the data of Asian countries and four subregions in Asia. The estimation results show that logistics operation consumes nonrenewable energy such as fossil fuels, which has a negative impact on environmental sustainability and energy demand. The service quality and capability (LPITC) in the logistics performance index has a significant contribution to reducing carbon dioxide emissions. The logistics infrastructure (LPIIN) has significantly reduced the energy consumption in Asia, while the customs (LPIC) has significantly increased the energy demand. Other indicators of LPI also have a significant impact on the environment and energy in different subregions of Asia. Industrialization and urbanization both increase carbon emissions in Asia, while trade opening reduces carbon emissions. At the same time, these three variables have a positive impact on reducing energy consumption. The results show that logistics performance is significantly related to environmental degradation and energy, and renewable energy and green supply chain management can reduce the harmful effects of logistics activities on environment and energy. Therefore, Asian countries should give priority to environmental sustainability in supply chain management and encourage the application of green practices in logistics.

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Economic and Environmental Implications of Energy Taxes: Evidence from Romania

Cited by 5 publications

References 15 publications

ECONOMIC GROWTH AND R&D EXPENDITURE IN ROMANIA. AN EMPIRICAL RESEARCH

ECONOMIC GROWTH AND R&D EXPENDITURE IN ROMANIA. AN EMPIRICAL RESEARCH

Does Tourism Affect Economic Growth of China? A Panel Granger Causality Approach

Green Supply Chain Management, Environmental Degradation, and Energy: Evidence from Asian Countries

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