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Since renewable energy is essentially non-carbohydrate in nature, it can generate little or no pollutants and can therefore help in achieving both sustainable development and environmental quality. In this regard, the question that continues to persist is whether economic growth, economic globalization, and political risk can potentially affect renewable energy in the presence of environmental deterioration. In this context, the current research provides evidence to support this theoretical context by investigating the impact of economic globalization, economic growth environmental degradation, and political risk, on the usage of renewable energy in Vietnam using a dataset spanning the period between 1984 and 2019. For empirical analysis, the dynamic autoregressive distributed lag approach is utilized. Based on our analysis, economic growth positively impacts renewable energy in the long and short term. Economic globalization also positively affects renewable energy in the long term, but a neutral impact is uncovered in the short term. Political risk and environmental degradation are adversely related to renewable energy in the short and long run. The findings from the frequency domain approach reveal a causal interaction from political risk to renewable energy, and from renewable energy to economic globalization, whereas a feedback causal interaction is discovered between renewable energy and environment degradation, as well as between economic growth and renewable energy. From a policy standpoint, we propose that the Vietnamese policymakers need to consider economic globalization as a renewable energy promotion tool via capital inflow, foreign direct investment, and technological transfer.

The novel Covid-19 outbreak has adversely affected every sector of the economy, including the tourism and hospitality sectors. Holding the importance as one of the leading contributors to economic growth, and accommodating a large percentage of the labor force, this study has investigated the impact of Covid-19 on the tourism economy of Beijing (the capital of China), which is one of the leading tourist destinations of China. For this purpose, primary data with 385 sample sizes have been collected via random sampling techniques from the tourism-related respondents. This data has been analyzed using the simple descriptive analysis, graphical estimations, and categorization techniques. The findings of the study show that Covid-19 exerts a negative influence on the tourism and hospitality sector. Specifically, a reduction in the international tourists' arrival has reduced revenue generation, indirectly reducing the contribution to the GDP by many factors. These factors include an increase in the unemployment ratio, cut-off salaries, increases in expenditures, and a decline in the tax payments. However, lack of adequate response from the government in the context of the tourism sector has further fueled the adverse outcomes of Covid-19, leading the industry to a shut-down condition for most firms in this geographical area.

This study fills a gap in the relevant literature by exploring the linear and nonlinear effect of energy productivity on environmental degradation based on economic growth, trade openness, and energy consumption variables for the case of Cyprus, over the period from 1990Q1 to 2018Q4. To the best of our knowledge, this is the first study attempt to conduct this nexus for Cyprus, so the empirical findings are likely to shed light on and open a new debate on the subject of environmental sustainability. The empirical findings of the nonlinear autoregressive distributed lag approach revealed that the outcomes of energy productivity instigated a positive (negative) impact on the atmosphere, where a 1% upsurge in positive shock of energy productivity decreased CO

Günümüzde, artan küreselleşmenin bir sonucu olarak, dış ticarette en yaygın kullanılan taşımacılık modu olan denizyolu taşımacılığının önemi de son derece artmıştır. Üretimin Batı pazarlarından, Doğu pazarlarına kaymasıyla birlikte, Doğu pazarlarında üretilen ürünlerin, Batı pazarlarına ulaştırılması için yeni yollar arayışına girilmiştir. Türkiye, Doğu ve Batı arasında bir köprü görevi gördüğünden, doğru stratejik adımlarla, gelecekte bir lojistik üssü olma potansiyeline sahiptir. Dünya konteyner ticaretinin giderek artması ile birlikte Türkiye de konteyner taşımacılığı pazarından önemli miktarda pay almaya başlamış ve konteyner ticaretindeki payını artırmak için çalışmalar ve yatırımlar yapmaya başlamıştır. Bu doğrultuda, bu çalışmanın amacı, Türkiye’nin en önemli limanlarından olan Aliağa ve İzmir Limanlarını ve bölgenin gelecekteki lojistik potansiyelini özellikle konteyner taşımaları açısından incelemektir.

The automation systems and the human factors advancing within the scope of technologies that develop under the impact of Industry 4.0 become of secondary importance in every field where human dominance exists. While labeling companies as smart factory wherein all courses of action that involves the replacement of human brain with artificial intelligence within the production processes are digitalized, and all transactions are made by digital technologies, it is revealed that this new process provides a more opportunistic system for companies that focus on supply chain management. Smart and data-based technological improvements along with the developments in barcode, sensors, internet of objects and RFID technology, and advancement in Industry 4.0 have provided great convenience to companies that use supply chain processes; logistics companies in particular. The use of artificial intelligence and new technologies ensures supervision of customers and the better management of customer relations, and companies gain a competitive advantage over their competitors. In this study, the transition of companies using traditional supply chain management to the new smart and data-based supply chain process will be explained.

Several investigations show that remittances, renewable energy, and innovation promote the socioeconomic advancement of a nation. Nevertheless, the impacts of remittances and renewable energy on ecological quality are yet to be evaluated thoroughly. Therefore, the current investigation assesses the effects of remittances and renewable energy on CO2 emissions while taking into account the roles of technological innovation, globalization, and economic growth. Toward this end, this paper depends on yearly data between 1990 and 2019. The study employed bounds testing and its results disclosed long-term connections between CO2 and the regressors. Moreover, unlike prior studies that employ time-domain causality, we employed frequency domain causality, which considers causality at different frequencies. Furthermore, the ARDL long- and short-run results showed that economic growth amplified CO2 emissions, while green energy, remittances, and globalization lessened CO2 emissions. Lastly, the frequency domain causality approach revealed that globalization, renewable energy, economic growth, technological innovation, and remittances could predict CO2 emissions in the long-term. These findings’ sturdiness was established utilizing DOLS and FMOLS regression. Several policy recommendations are suggested in light of these ground-breaking discoveries.

This research utilizes a bootstrap rolling-window (BRW) causality test to explore the causal interrelationship between nuclear energy consumption (NUC) and carbon dioxide emissions (CO2) in 6 developed countries from 1980 to 2020. When there are structural shifts in the full-sample time series, empirical research exploring causality between two-time series generates erroneous conclusions. On the other hand, the BRW method allows researchers to find potential time-varying causality between time series using sub-sample data. The outcomes of the BRW causality test disclosed the following results: (i) a unidirectional negative causality from NUC to CO2 without feedback was found for Japan; (ii) a negative causality at sup-sample periods from NUC to CO2 surfaced at the sub-sample period while a positive causality surfaced from NUC to CO2 in sub-sample period for the United States of America (USA) and France; (iii) a negative feedback causality between NUC and CO2 was found For Canada; (iv) a positive unidirectional causality surfaced from NUC to CO2 was found for Germany, which implies that consumption of NUC worsens the environment in the sub-sampled period. The results may have policy consequences for the selected developed countries regarding NUC and CO2 nexus.