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The constituent elements of an enterprise are mainly human, material and financial resources. Adjusting the organizational behavior of an enterprise is, in fact, a reasonable arrangement and effective use of the limited resources of the enterprise, especially the human resources, so that it plays the greatest economic and social benefits. Therefore, enterprise managers should deeply study and understand the essence of organizational behavior, renew their ideas, establish a sense of innovation, and implement a "people-oriented" management incentive mechanism.

The Nordic nations have yet to significantly contribute to achieving Sustainable Development Goals (SDG) 7 and 13. This predicament might be attributed to fundamental financialization concerns in these nations and renewable energy generation implementation issues. The Nordic nations are fighting to reduce CO2 emissions as a result of these two situations. Dealing with this problem may necessitate a policy shift, which represents the focus of this research. Utilizing data from 1980 to 2020, we analyze the heterogeneous impacts of financial development and renewable energy on CO2 emissions using advanced panel and time-series methodologies. The advantage of the wavelet tools (wavelet coherence, partial wavelet and multiple wavelet techniques) is that they help to capture policy initiatives at different frequencies, i.e., short, medium and long-term. Our empirical outcomes from the CS-ARDL show that both financial development and renewable energy decrease CO2 emissions in the short and long term. Furthermore, the outcomes of the wavelet coherence show negative co-movement between CO2 and renewable energy in each Nordic nation except for Iceland with renewable energy driving CO2 in all frequencies. Additionally, financial development enhances the 'CO2 emissions-renewable energy consumption' association, but in the short term, it has no stimulating effect. These findings lead to the recommendation of an SDG-oriented policy framework. While this policy agenda is designed to achieve SDGs 7 and 13, it may also be applied to other nations. The study recommends that the Nordic countries implement measures to boost renewable energy supply through enhanced renewable energy technologies. Abbreviations: ASEAN: Association of Southeast Asian Nations; BRICS: Brazil, Russia, India, China and South Africa; CO2: Carbon Emissions; CS-ARDL: Cross Sectional Autoregressive Distributed Lag Model; FD: Financial Development; PMG-ARDL: Pool Mean Group Autoregressive Lag Model; VAR: Vector Autoregressive; VECM: Vector Error Corrected Model; MINT: Mexico, Indonesia, Nigeria and Turkey; REC: Renewable Energy; SDG: Sustainable Development Goal; SD: Sustainable Development [ABSTRACT FROM AUTHOR]

With its contiguous nature, paired with the people's fear and anxiety, the Covid-19 outbreak has become a lethal combination, which despite the lower death ratio, has led to unanticipated financial and economic repercussions that have eventually disturbed the life of every single human being around the globe. In this very context, enterprises that belong to the fields of entertainment, tourism, lodging, dining, hotels, and restaurants have been found to be at a higher risk, as such operations are harshly affected during such unanticipated situations. Hence, based on this notion, the present study has been conducted, in order to precisely identify the effect on China's film and drama industry's stock returns, due to the outburst of the COVID-19 pandemic. Therefore, based on the time-series data from China, spanning from the time period of 01-Jan-2020 to 15-Mar-2021, the quantile autoregressive distributed lag method (QARDL) method has been applied, as the preferred statistical technique for this study. The results have reported that there happens to be a negative impact of the COVID-19 pandemic, on the industry across all the considered quantiles, representing the bearish, normal, and bullish market conditions. Therefore, based on these findings, the government regulations' full compliance regarding social distancing and health assurance has been recommended. [ABSTRACT FROM AUTHOR]

This study aims to analyze the multidimensional effects of COVID-19 on the economy via considering the individuals and multi-sectors such as individuals/households, tourism, travel and transportation sector, environment, globalization, trade, economy, and the response of the government to the pandemic and also the economic and financial conditions of the respondents. Gathering primary data of 1015 sample sizes from eleven countries (including three countries from the top-ten most affected COVID-19 countries), the descriptive and graphical analysis and pre and post COVID-19 comparison confirmed the real impact of the global pandemic. All the mentioned sectors and the education and individual/household, are negatively affected except the environment positively affected. Based on the findings, policy recommendations are provided. [ABSTRACT FROM AUTHOR]