Eco-tourism, climate change, and environmental policies: empirical evidence from developing economies.

Developing ecotourism services is a suitable solution to help developing countries improve the status of sustainable development indicators and protect their environment. The primary purpose of this paper is to find out the effects of green governance variables and carbon dioxide emissions on ecotourism for 40 developing economies from 2010 to 2021. The results confirmed a uni-directional causal relationship between the green governance indicator and the inflation rate of the ecotourism indicator. In addition, with a 1% improvement in the green governance index of developing countries, the ecotourism of these countries will increase by 0.43%. In comparison, with a 1% increase in the globalization index of these countries, ecotourism will increase by 0.32%. Moreover, ecotourism in developing countries is more sensitive to macroeconomic variables changes than in developed economies. Geopolitical risk is an influential factor in the developing process of ecotourism. The practical policies recommended by this research are developing the green financing market, establishing virtual tourism, granting green loans to small and medium enterprises, and government incentives to motivate active businesses.

A Future Forecasting for FMCG Firm Performance in Covid-19: An Investigation of Consumer and Business Survival.

The Covid-19 outbreak has spread over the world, limiting population and trade, causing job losses, and forcing businesses to close. The study's goal is to look at Covid-19's pandemic and consumer survival as a mediator for the future of running a business when FMCG companies are doing well. The researchers employed a basic random sampling strategy to do a layered transverse evaluation of samples. EFA, CFA, and SEM are used to choose data collection techniques for participants at Covid-19. According to the data, Malaysia has resulted in job losses, business growth, and customer satisfaction retention, as well as an increase in unemployment, company closures, and a drop in overall GDP. The impact of the Covid-19 epidemic on survival, production, and GDP has been demonstrated. Incorporating technology into all aspects of a company's working practices reveals the necessity and capacity of the organization to adapt to new scenarios.

The Amplifying Effect of Conflicts on Case Fatality Rate of COVID-19: Evidence From 120 Countries.

Using the COVID-19 database of Johns Hopkins University, this study examines the determinants of the case fatality rate of COVID-19. We consider various potential determinants of the mortality risk of COVID-19 in 120 countries. The Ordinary Least Squares (OLS) and the Kernel-based Regularized Least Squares (KRLS) estimations show that internal and external conflicts are positively related to the case fatality rates. This evidence is robust to the exclusion of countries across different regions. Thus, the evidence indicates that conflict may explain significant differences in the case fatality rate of COVID-19 across countries.

A survey on acute kidney injury in severely and critically ill COVID-19 patients without chronic kidney disease.

BACKGROUND: Research has shown that acute kidney injury (AKI) has a noticeable incidence in critically ill patients with coronavirus disease 2019 (COVID-19). Patients with prior renal insufficiency are particularly susceptible to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), due to their immune dysfunction. However, most patients with COVID-19 do not have a history of kidney dysfunction, and few studies have focused on the incidence of AKI among COVID-19 patients without chronic kidney disease (CKD). In this study, we aimed to investigate the occurrence of AKI in severely and critically ill COVID-19 patients, with a particular focus on those without a CKD history. METHODS: A single-center retrospective study of 96 patients with COVID-19 in China between February 7 and March 3, 2020 was conducted. All patients were diagnosed by nucleic acid test (NAT) for SARS-CoV-2. Enrolled patients were divided into the severely or critically ill group according to the defined criteria. Patients' epidemiological, clinical, and laboratory characteristics, along with their treatment information, were collected from the medical history system. The occurrence of AKI was compared between the severe and critical patients, and between patients with or without a history of CKD. The diagnostic criteria for AKI included an increase in the serum creatinine level to ≥1.5-fold the level at baseline within 7 days according to the Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. Renal outcomes were defined as AKI or non-AKI. RESULTS: Four patients (4.2%) developed AKI, all of whom were in the critically ill group, and 3 (75%) of whom died. Out of the 90 severely and critically ill COVID-19 patients without CKD, 3 (3.3%) patients developed AKI; out of the 6 patients with CKD, 1 (16.7%) patient developed AKI. Age, disease severity, procalcitonin, C-reactive protein, and interleukin-6 were correlated with AKI onset in severely and critically ill COVID-19 patients, while lymphocyte count and estimated glomerular filtration rate at admission were inversely related to the development of AKI. CONCLUSIONS: Only 3.3% of severely and critically ill COVID-19 patients without CKD in our research cohort developed AKI. Critically ill patients may be more susceptible to AKI than severely ill patients.

Analysis on the Economic Recovery in the Post-COVID-19 Era: Evidence From China.

As a major public health emergency, the COVID-19 pandemic has had a huge impact on economies all over the world. The experience of post-COVID-19 economic recovery is of great significance for achieving sustainable and high-quality economic development. Taking the economic development of China as an example, based on the theory of resilient economy and related measurement methods, this article selects five major indicators that are generally recognized as closely connected with economic resilience to construct a system of economic resilience indicators. In addition, the autoregressive integrated moving average (ARIMA) model is used to predict gross domestic product (GDP) under the scenario of no epidemic. The actual value of China's GDP is compared with the predicted value in the absence of the epidemic, verifying that strong economic resilience plays an important role in the country's economic response to major shocks. Based on the results, policy recommendations are made for countries to strengthen their economic resilience in the postepidemic era.