The relationship between the selected sectoral dimensions and sustainable consumption and production within the Sustainable Development Goal 12.

The study's main goal was to quantify the relationships between the selected sectoral dimensions and responsible consumption and production within the Sustainable Development Goal 12 (SDG 12). The SDG 12 goal was examined through the six indicators: (i) raw material consumption tonnes per capita (RMC), (ii) average CO2 emissions per km from new passenger cars (CO2), (iii) circular material use rate, (iv) generation of waste excluding major mineral wastes by hazardousness in kilogram per capita, (v) gross value added in environmental goods and services sector percentage per GDP (VAE), and (vi) energy productivity PPS per kilogram of oil (EPO). The results of the analyses confirmed the existence of the important synergies, but also the significant compromises between the goals of sustainable development. The highest level of association with the raw material consumption was confirmed for the enterprises located in the low-tech manufacturing sector. The results are beneficial for the policymakers and development strategies, for experts dealing with the sector analyses in a relation to sustainable development, creators of the evaluation, and regulatory mechanisms supporting the sustainability of the economies and their environmental goals and strategies.

The relationship between destination image and destination safety during technological and social changes COVID-19 pandemic.

This study aimed to assess the relationship between safety perceptions and destination image in the Central European region during the technological and social environment change brought about by the COVID-19 pandemic. The study sample consisted of respondents from three Central European countries, namely, the Czech Republic, Hungary, and Slovakia. The quantile regression analysis was used to analyze the relationship between the image of the destination and its perceived safety. The results showed that concerns about the safety of the tourism environment could be negatively associated with the image of the infrastructure in Hungary and Slovakia, with value for money in the three countries, and with images of enjoyment in Slovakia. Higher levels of destination safety may be associated with a more positive destination image, with health, facilities and services being the most important dimensions of perceived safety, because of the pandemic. This study contributes to the knowledge of the concept of destination images and the development of tourism.

A look at the focus shift in innovation literature due to Covid-19 pandemic.

This study explores the problems related to the development of innovation research in the field of business and economics and the change in their characteristics following the coronavirus disease 2019 (COVID-19) pandemic. We compile a comprehensive bibliometric analysis of 17,277 pre-epidemic publications and 4,240 post-epidemic publications from the Web of Science. Using bibliometric methods and visualization tools, we present the changes in these publications following the COVID-19 pandemic, and identify the influential countries and regions, sources, and references, and obtain features of keywords over time. The results show that innovation research is rich in content, and involves a wide range; it has been focusing on emerging topics, such as those concerning low-carbon, innovation forms, and epidemic environments, following the COVID-19 pandemic. This study contributes to the body of knowledge on innovation, and helps to understand the features and structures of innovation research in business and economics.

Avoided external energy costs due to penetration of renewables: Evidence form Baltic States.

European Union (EU) has set ambitious energy and climate targets for the EU Member States. Some EU Member States (MS) confirmed to attain 100% of renewables in power generation by 2050 and implement carbon-free economy target. The purpose of this study is to assess and compare the avoided external costs of electricity generation due to the penetration of renewables in the Baltic States by implementing EU energy and climate targets for 2020, 2030 and 2050. The switching to renewables has significant social benefits for the EU member states, as fossil fuel burning is linked with the climate change and emission of classical air pollutants (SO2, NOx, particulate matter, NH3, NMVOC), which can have various negative impacts on the human health. The analysis and forecasts of external costs of power generation by 2050 in the selected countries, i.e., the Baltic States, has shown that Estonia is able to achieve the highest avoided external costs and highest health benefits from renewable promotion due to the oil shale that is dominating in the power generation structure. The main input of this study performed in the Baltic States is to show how subsidies for renewables correspond to the reduction of external costs of power generation and to provide important policy implications for these countries. Moreover, this can be an example for other countries how to assess the benefits of renewables support.

Measuring carbon emission sensitivity to economic shocks: a panel structural vector autoregression 1870-2016.

The study of the link between production, measured in gross domestic product and CO2 emissions, is a topic under intense research. Carbon emissions are moving together with economic shocks (high synchronicity), particularly at troughs and peaks of a business cycle. This research investigates the influence of economic shocks to carbon emissions. Previous studies do not provide a direct empirical evidence on the impact of economic shocks to carbon emissions that are available. We employ structural vector autoregression to explore the impact of economic shocks on carbon emissions in 20 advanced economies from 1870 to 2016. Our empirical results prove a strong, statistically significant connection between emissions and output with a coefficient of elasticity > 1. We identify a strong empirical link using panel structural vector autoregression between carbon emissions and real GDP growth per capita. Up to 40% of the fluctuations in CO2 emissions is explained by combined economic factors (output, population, oil prices, stock exchange). The findings further indicate that carbon emission is determined by energy policy (energy intensity, carbon intensity, relative costs of renewable energy). Our findings contribute to energy policy management, energy, and business cycle research to inspire novel research on energy cycles.

Impact of COVID-19 on the travel and tourism industry.

Our paper is among the first to measure the potential effects of the COVID-19 pandemic on the tourism industry. Using panel structural vector auto-regression (PSVAR) (Pedroni, 2013) on data from 1995 to 2019 in 185 countries and system dynamic modeling (real-time data parameters connected to COVID-19), we estimate the impact of the pandemic crisis on the tourism industry worldwide. Past pandemic crises operated mostly through idiosyncratic shocks' channels, exposing domestic tourism sectors to large adverse shocks. Once domestic shocks perished (zero infection cases), inbound arrivals revived immediately. The COVID-19 pandemic, however, is different; and recovery of the tourism industry worldwide will take more time than the average expected recovery period of 10 months. Private and public policy support must be coordinated to assure capacity building and operational sustainability of the travel tourism sector during 2020-2021. COVID-19 proves that pandemic outbreaks have a much larger destructive impact on the travel and tourism industry than previous studies indicate. Tourism managers must carefully assess the effects of epidemics on business and develop new risk management methods to deal with the crisis. Furthermore, during 2020-2021, private and public policy support must be coordinated to sustain pre-COVID-19 operational levels of the tourism and travel sector.