Internet interventions and therapies for addressing the negative impact of digital overuse: a focus on digital free tourism and economic sustainability.

BACKGROUND: The excessive use of information technologies (IT) and online digital devices are causing symptoms of burnout, anxiety, stress and dependency that affect the physical and mental health of our society, extending to leisure time and work relationships. Digital free tourism (DFT) is a phenomenon that emerges as a solution to technostress and pathologies derived from digital hyperconnection. The objective of this research is to advance the knowledge of new structures of motivational factors that can understand the decision of a tourist to make a DFT trip. To this end, it is investigated whether family and social engagement and health and relaxation have a positive impact on the behavioral intention of the potential tourist and whether this influences sustainability due to the importance of DFT in the new economic framework. METHODS: With a quantitative approach, the methodology used consisted of an online questionnaire among potential travelers. IBM SPSS Statistics 22.0 statistical software was used to evaluate the data obtained and confirm the relationships of the model and the research hypotheses. RESULTS: The results of the questionnaire assessed the contribution of each construct to the tourist's behavioral intention and the tourist's decision to make the decision to undertake a DFT experience. CONCLUSIONS: DFT can be a driver of economic sustainability and health therapy in tourism in the digital age. This study aims to expand the lines of research on DFT and determine the complex factors that can lead a tourist to participate in the DFT experience. The results obtained can help managers of companies in the sector to offer more efficient and sustainable services that contribute to the health and wellbeing of tourists as a differentiating factor.

Winter condition variability decreases the economic sustainability of reindeer husbandry.

Wild and semidomesticated reindeer are one of the key species in Arctic and subarctic areas, and their population dynamics are closely tied to winter conditions. Difficult snow conditions have been found to decrease the calving success and survivability of reindeer, but the economic effects of variation in winter conditions on reindeer husbandry have not been studied. In this study, we combine state-of-the-art economic-ecological modeling with the analysis of annual reindeer management reports from Finland. These contain local knowledge of herding communities. We quantify the occurrence probabilities of different types of winters from annual management reports and analyze the effects of this variation in winter conditions on reindeer husbandry using an age- and sex-structured bioeconomic reindeer-lichen model. Our results show that difficult winters decrease the net revenues of reindeer husbandry. However, they also protect lichen pastures from grazing, thereby increasing future net revenues. Nonetheless, our solutions show that the variability of winter conditions overall decrease the net income of herders compared to constant winter conditions. Low lichen biomass appears to make reindeer management more sensitive to the effects of difficult winter conditions. We also found that it is economically sensible to use supplementary feeding during difficult winters, but the net revenues still decrease compared to average winters because of the high feeding costs. Overall, our analysis suggests that the increasing variability of winter conditions due to climate change will decrease net revenues in reindeer husbandry. This decrease will still occur even if the most extreme effects of climate change do not occur. This study shows that combining a state-of-the-art bioeconomic model and practitioner knowledge can bring compatible insights, ideas, results, and a bottom-up perspective to the discussion.

Does the intensity of use of social media influence the economic sustainability of the university?

In the last decades the term sustainability has become indispensable for society, governments and companies. Its correct implementation is of utmost importance, and therefore public institutions continuously promote the actions of sustainable development. During the pandemic, universities adapted to online teaching, using different platforms or even social media. The intensity of social media use has had positive and negative impacts. Several studies have linked the use of social media to sustainable development. Therefore, this study analyses the intensity of social media use in public universities and the relationship between the three dimensions of sustainability. To achieve the objectives set out, a sample of 447 users was used, and the data was analysed based on PLS-SEM (Partial Least Squares Structural Equation Modeling). Variance-based SEM is a methodological option to carry out analyses that measure the simultaneous behaviour of dependence relationships. The results have shown that the intensity of the use of social media and the economic sustainability of universities is weak, even if it is positive. Furthermore, there is a strong and positive relationship between the three dimensions of sustainability at the university level. This study contributes to the academic literature on the subject and highlights the critical role of higher education institutions in promoting sustainability.

Modeling long-term impacts of the COVID-19 pandemic and oil price declines on Gulf oil economies.

The COVID-19 pandemic has been detrimental on hydrocarbon-overdependent Gulf states. The effects of the unprecedented oil price declines and substantial COVID-relief packages on Gulf economies are critical, as they can become enduring and foundational if the energy transitions accelerate to meet the Paris Agreement targets. Thus, this study assesses the impacts of the pandemic on the long-term economic sustainability of Gulf economies, using illustrations from Kuwait using the economy-wide WAFRA Applied General Equilibrium (WAFRAGE) Model applied to Kuwait (WAFRAGE-KWT Model). The simulation results indicate that post-pandemic, the economic resiliency of these states has significantly waned, primarily because the pandemic hit during a state of weakened economic resilience following the 2014 oil price collapse and subsequent government response. Although COVID-relief packages appeared in the form of counter-cyclical fiscal policy, Gulf states are unable to realize this policy's full potential benefits. They are incapable of being truly counter-cyclical under their current economic structure and the consumption-based nature of the COVID-relief packages, which protect oligopolistic firms' profits and reduce production, non-oil exports, and economic efficiency. The eroded fiscal and economic resiliency also threatens Gulf states' ability to weather energy transitions. The implication of the findings is that long-term sustainability requires immediate phased implementation of economic and energy reforms.

First Wave of COVID-19 Pandemic in Italy: Data and Evidence.

INTRODUCTION: Unexpectedly, Italy was the first Western country to face COVID-19 outbreak, but promptly it was the first one to adopt stringent procedures to stem the spread of infection. The objective of this study was to describe the epidemiological situation and comorbidities in Italy, in addition to containment measures and health system and social protection strengthening ones applied in this country. METHODS: Available population data were collected, managed, and analysed from the daily reports on COVID-19 published every day, from 1 February to 8 June 2020. RESULTS: Lombardia, a northern region of Italy, is considered the epicentre for the wave of the infection with the first diagnosed case, but in a few weeks other regions were involved (with Piemonte, Emilia-Romagna, and Veneto covering more than 70% of the Italian total cases). In the European context, after 3 months of containing measures of the sanitary emergency, Italy is the fourth country for the number of total positive cases (with 235,278 total case as at 8 June 2020), after Russia, the United Kingdom, and Spain, whereas it is the second for the number of deaths (with 33,964 deaths as at 8 June 2020), only after the United Kingdom. Regarding incidence, the curve of daily new cases shows an increasing trend up to 22 March 2020 with 6557 new daily cases and then a decreasing trend up to 280 as at 8 June. This turnaround can be explained by the application of national lockdown starting from 9 March and by the following 14 days of incubation of infection. Profiles of subjects at major risk of poor prognosis and death for COVID-19 are elderly (mean age of 80 years) and with three or more comorbidities. These characteristics can partially explain the high lethality rate for coronavirus observed in Italy, which is the European country with the highest share of elderly. In addition, other possible explanations of this high lethality are differences in testing policies among countries that influence the number of asymptomatic or pauci-symptomatic patients diagnosed as coronavirus positive, together with differences in definition and in the way of recording deaths for coronavirus. In the absence of a vaccine, severe nonpharmaceutical interventions (NPIs), including national lockdown, quarantine, social distancing, and use of facial masks, have been applied with success to reduce the virus spread and the burden on the National Health System. In addition to these stringent containment measures to fight the pandemic, other policies have been adopted searching to ensure economic sustainability, social safety, and stability. CONCLUSION: Italy was the first Western country with a wide spread of COVID-19, but it was the first one to introduce containment restrictions, tightening them week by week and subjecting the 60 million people living in the country to unprecedented limitations. Many measurements have been adopted by the government, such as lockdown during the early stages of infection and subsequent social distancing and wearing face masks in public areas. Italians were compliant with all the measures ordered by the government and their discipline reflected in the COVID numbers: the curve of daily new cases after a peak at the end of March now shows a consistent decreasing trend up. In this phase of current reduction of virus diffusion, it is crucial to accommodate the need to continue protecting citizens from the risk of infection with the undeferrable, although gradual, restart of the economic and social system. This new scenario requires an active collaboration among all the actors: statutory bodies, employers, civil society, and the third sector.

Three pillars of sustainability in the wake of COVID-19: A systematic review and future research agenda for sustainable development.

The COVID-19 pandemic has immensely impacted the economic, social, and environmental pillars of sustainability in human lives. Due to the scholars' increasing interest in responding to the urgent call for action against the pandemic, the literature of sustainability research considering COVID-19 consequences is very fragmented. Therefore, a comprehensive review of the COVID-19 implications for sustainability practices is still lacking. This research aims to analyze the effects of COVID-19 on the triple bottom line (TBL) of sustainability to support the future sustainable development agenda. To achieve that, the following research questions are addressed by conducting a systematic literature review: (i) what is the current status of research on the TBL of sustainability considering COVID-19 implications? (ii) how does COVID-19 affect the TBL of sustainability? and (iii) what are the potential research gaps and future research avenues for sustainable development post COVID-19? The results manifest the major implications of the COVID-19 outbreak for the triple sustainability pillars and the sustainable development agenda from the economic, social, and environmental points of view. The key findings provide inclusive insights for governments, authorities, practitioners, and policy-makers to alleviate the pandemic's negative impacts on sustainable development and to realize the sustainability transition opportunities post COVID-19. Finally, five research directions for sustainable development corresponding to the United Nations' sustainable development goals (SDGs) post COVID-19 are provided, as follows: (1) sustainability action plan considering COVID-19 implications: refining sustainability goals and targets and developing measurement framework; (2) making the most of sustainability transition opportunities in the wake of COVID-19: focus on SDG 12 and SDG 9; (3) innovative solutions for economic resilience towards sustainability post COVID-19: focus on SDG 1, SDG 8, and SDG 17; (4) in-depth analysis of the COVID-19 long-term effects on social sustainability: focus on SDG 4, SDG 5, and SDG 10; and (5) expanding quantitative research to harmonize the COVID-19-related sustainability research.

Organizational resilience and social-economic sustainability: COVID-19 perspective.

COVID-19 has affected the global economy like no other crisis in the history of mankind. It forced worldwide lockdown and economic shutdown to the point from where the recovery process has been very difficult. It has affected demand, supply, production and consumption in such a way that the entire economic development cycle has gone to its lowest levels. COVID-19 has also affected the social and economic sustainability structure which has led from one crisis to another and the developing countries have been the worst hit. Economic crisis resulted in unemployment leading to labour migrations, inevitable casualties and rising poverty etc. However, at a certain level, a few industries and organizations have shown resilience with better anticipation and survivability which may lead them to a quicker recovery. The current study aims at presenting a holistic view of organizational resilience which leads to the overall sustainable development. The study considers three aspects of organizational resilience as crisis anticipation, organizational robustness and recoverability. It assesses the impact of the aspects of resilience on social sustainability and economic sustainability. The study uses empirical analysis of primary data which is analysed to verify the hypothesized relationships by using a structural equation modelling approach. The study finds out that predicting the crisis and disruptions, building robustness and recoverability have a positive effect on both the social and economic aspects of sustainability. Findings of the study have their practical implications for industry, researchers and society.

Vulnerability of rangeland beef cattle production to climate-induced NPP fluctuations in the US Great Plains.

The vulnerability of rangeland beef cattle production to increasing climate variability in the US Great Plains has received minimal attention in spite of potentially adverse socioeconomic and ecological consequences. Vulnerability was assessed as the frequency and magnitude of years in which net primary production (NPP) deviated >±25% from mean values, to represent major forage surplus and deficit years, for a historic reference period (1981-2010), mid-century (2041-2065), and late-century (2075-2099) periods. NPP was simulated by MC2, a dynamic global vegetation model, driven by five climate projections for representative concentration pathway (RCP) 4.5 and 8.5. Historically, 4-4.7 years per decade showed either NPP surpluses or deficits. The future number of extreme years increased to 5.4-6.4 and 5.9-6.9 per decade for RCP 4.5 and 8.5, respectively, which represents an increase of 33%-56% and 38%-73%, respectively. Future simulations exhibited increases in surplus years to between 3 and 5 years in the Northern Plains and 3-3.5 in the Southern Plains. The number of deficit years remained near historic values of 2 in the Northern Plains, but increased in the Southern Plains from 2.5 to 3.3 per decade. Historically, NPP in extreme surplus and deficit years both deviated 40% from mean NPP in all three regions. The magnitude of deficit years increased by 6%-17% in future simulations for all three regions, while the magnitude of surplus years decreased 16% in the Northern Plains and increased 16% in the Southern Plains. The Southern Plains was the only region to exhibit an increase in the magnitude of both surplus and deficit years. Unprecedented future variability of NPP may surpass the existing adaptive capacity of beef producers and adversely impact the economic viability of rangeland cattle production and ecological sustainability of rangeland resources.

Potential development of Irish agricultural sustainability indicators for current and future policy evaluation needs.

There is a significant and detailed range of sustainability indicators for Irish agri-food production, but there remain areas where further indicator development or new indicators could prove valuable. This review provides an outline of potential developments in Irish assessment of agricultural sustainability following the latest research and in order to meet policy demands. Recent research findings have suggested means of improved quantitative modelling of greenhouse gas emissions, but additional dietary and soil data may be important for this, especially for the potential inclusion of any soil sequestration. This information could also benefit more detailed modelling of nutrient losses to water. Specific concerns over pesticide and antibiotic use may require additional survey work on the particular locations or types of farms of interest. Biodiversity monitoring could be improved by expanding the range of results-oriented agri-environment schemes or employing remote-sensing habitat monitoring, likely supplemented with targeted field surveys for specific objectives. Farm-level economic sustainability is largely well-covered, but additional data collection may be of benefit to address specific issues such as labour costs. Recent additional surveys on farm-level social sustainability have addressed important social indicators of isolation and access to local services, and could be rolled out on a larger number of farms in the future. Wider societal concerns such as animal welfare, genetically modified materials in foodstuffs and antibiotic resistance have limited indicators currently available, and could also benefit from additional surveys. The breadth and detail required in agri-food sustainability indicators present a significant challenge to survey design and implementation, but many developments can be achieved without additional surveys through the use of remote sensing and geospatial technologies and integration of existing datasets. Despite the important benefits of further developments in Irish sustainability indicators, consideration must also be given to farmer confidentiality and survey fatigue.

An Economy Viewed as a Far-from-Equilibrium System from the Perspective of Algorithmic Information Theory.

This paper, using Algorithmic Information Theory (AIT), argues that once energy resources are considered, an economy, like an ecology, requires continuous energy to be sustained in a homeostatic state away from the decayed state of its (local) thermodynamic equilibrium. AIT identifies how economic actions and natural laws create an ordered economy through what is seen as computations on a real world Universal Turing Machine (UTM) that can be simulated to within a constant on a laboratory UTM. The shortest, appropriately coded, programme to do this defines the system's information or algorithmic entropy. The computational behaviour of many generations of primitive economic agents can create a more ordered and advanced economy, able to be specified by a relatively short algorithm. The approach allows information flows to be tracked in real-world computational processes where instructions carried in stored energy create order while ejecting disorder. Selection processes implement the Maximum Power Principle while the economy trends towards Maximum Entropy Production, as tools amplify human labour and interconnections create energy efficiency. The approach provides insights into how an advanced economy is a more ordered economy, and tools to investigate the concerns of the Bioeconomists over long term economic survival.

Feeding strategies and manure management for cost-effective mitigation of greenhouse gas emissions from dairy farms in Wisconsin.

Greenhouse gas (GHG) emissions from dairy farms are a major concern. Our objectives were to assess the effect of mitigation strategies on GHG emissions and net return to management on 3 distinct farm production systems of Wisconsin. A survey was conducted on 27 conventional farms, 30 grazing farms, and 69 organic farms. The data collected were used to characterize 3 feeding systems scaled to the average farm (85 cows and 127ha). The Integrated Farm System Model was used to simulate the economic and environmental impacts of altering feeding and manure management in those 3 farms. Results showed that incorporation of grazing practices for lactating cows in the conventional farm led to a 27.6% decrease in total GHG emissions [-0.16kg of CO2 equivalents (CO2eq)/kg of energy corrected milk (ECM)] and a 29.3% increase in net return to management (+$7,005/yr) when milk production was assumed constant. For the grazing and organic farms, decreasing the forage-to-concentrate ratio in the diet decreased GHG emissions when milk production was increased by 5 or 10%. The 5% increase in milk production was not sufficient to maintain the net return; however, the 10% increase in milk production increased net return in the organic farm but not on the grazing farm. A 13.7% decrease in GHG emissions (-0.08kg of CO2eq/kg of ECM) was observed on the conventional farm when incorporating manure the day of application and adding a 12-mo covered storage unit. However, those same changes led to a 6.1% (+0.04kg of CO2eq/kg of ECM) and a 6.9% (+0.06kg of CO2eq/kg of ECM) increase in GHG emissions in the grazing and the organic farms, respectively. For the 3 farms, manure management changes led to a decrease in net return to management. Simulation results suggested that the same feeding and manure management mitigation strategies led to different outcomes depending on the farm system, and furthermore, effective mitigation strategies were used to reduce GHG emissions while maintaining profitability within each farm.

Advanced membrane-based high-value metal recovery from wastewater.

Considering the circular economy and environmental protection, sustainable recovery of high-value metals from wastewater has become a prominent concern. Unlike conventional methods featuring extensive chemicals or energy consumption, membrane separation technology plays a crucial role in facilitating the sustainable and efficient recovery of valuable metals from wastewater due to its attractive features. In this review, we first briefly summarize the sustainable supply chain and significance of sustainable recovery of aqueous high-value metals. Then, we review the most recent advances and application potential in promising state-of-the-art membrane-based technologies for recovery of high-value metals (silver, gold, rhenium, platinum, ruthenium, palladium, iridium, osmium, and rhodium) from wastewater effluents. In particular, pressure-based membranes, liquid membranes, membrane distillation, forward osmosis, electrodialysis and membrane-based hybrid technologies and their mechanism of high-value metal recovery is thoroughly discussed. Then, engineering application and economic sustainability are also discussed for membrane-based high-value metal recovery. The review finally concludes with a critical and insightful overview of the techno-economic viability and future research direction of membrane technologies for efficient high-value metal recovery from wastewater.

Circular design strategies and economic sustainability of construction projects in china: the mediating role of organizational culture.

This research aims to elucidate the relationship between circular design strategies (CDS) and the economic sustainability of construction projects (ESCP), examining the mediating role of organizational culture (OC). Motivated by the imperative to develop a sustainable circular economy (CE) model in the building industry, our study focuses on a crucial dimension of CE processes. Specifically, we investigate how construction firms' organizational values shape their pursuit of desired economic outcomes within CE theory. Through a comprehensive analysis of 359 responses from a cross-sectional survey of Chinese construction firms employing Partial Least Squares-Structural Equation Modeling (PLS-SEM), our findings reveal a positive albeit weakly impactful association between CDS and ESCP. Simultaneously, OC is identified as a factor detrimental to ESCP. Notably, this study unveils the influential roles of hierarchical culture (HC) and group culture (GC) in shaping the current state of ESCP in China. Emphasizing the significance of CDS, we propose that contract administrators proactively reposition their organizations to adopt strategies conducive to achieving the necessary economic output for construction projects. The originality aspect lies in this research contributes to the existing body of knowledge by offering empirical insights into the theoretical framework, marking the first such empirical study in northern China. We conclude by critically examining research outcomes and limitations while providing insightful recommendations for future research to foster sustainable construction practices in the Chinese context.

Assessing economic sustainability and resilience of tomato farming ventures in Addis Ababa: A project-based evaluation.

This study assessed the economic sustainability and contribution of tomato farming ventures to Addis Ababa's resilience. Using a project-based evaluation method, the profitability of tomato production was analyzed with and without the cost of water. The results showed that including the cost of water, the venture had a negative net present value (NPV) of 30100 USD/hectare/annum, an internal rate of return (IRR) of 0.2%, a payback period (PBP) of over ten years, and a cost-benefit ratio (CBR) of 0.83. However, without the cost of water, the venture showed a subtle profit, with an NPV of 15100 USD/hectare/annum, an IRR of 21%, a PBP of 2.9 years, and a CBR of 1.02. Sensitivity analysis revealed that an increase in sales price and yield positively affected profitability, while an increase in operating cost had a negative effect. The study concluded that when water costs are considered, the tomato venture in Addis Ababa is not profitable or sustainable, and does not contribute to the city's resilience. However, without water cost accounting, the venture's contribution to the city's resilience is minimal. The study recommends policy interventions to enhance farmers' access to the market, establish agro-industries, and improve their bargaining power.

The role of digital transformation in supply chain efficiency and economic output.

From the perspective of sustainable supply chain management (SSCM), this research looks at the key elements influencing how small- and medium-sized companies (SMEs) move toward a circular economy (CE). This research aims to understand the elements that influence SMEs to embrace CE principles and determine the real-world applications of SSCM practices. This research gathered and analyzed data from diverse European SMEs working inside CE networks using a mixed-method approach. We received answers from several of these firms using a survey form sent and emailed to them. The replies were then assessed using an independent t test to account for any biases. We used confirmatory factor analysis (CFA) for the validity assessment, compound consistency, and corrected-item-total association measures to validate the model's validity and reliability. According to our research, SMEs are influenced significantly by societal pressures, green economic incentives, and environmental dedication when deciding whether to adopt CE practices. Our study further emphasizes the importance of SSCM for SMEs' successful transition to a CE model, especially regarding resource and waste management efficiency. This work contributes to the corpus of research on the topic by providing empirical support for the function of SSCM in easing the transition towards CE in the setting of SMEs. The results might serve as a reference for managers and policymakers as they create plans to encourage SMEs to embrace CE practices and to emphasize the advantages of such a change on the economic, social, and environmental fronts. Putting a particular emphasis on the vital roles that public pressure, green financial incentives, and ecological dedication play, this research provides insights into the complex interactions between SSCM and CE transition in SMEs. Further study is needed to examine how these determinants could fluctuate across various industries and geographies.

Human capital development and economic sustainability linkage in Sub-Saharan African countries: Novel evidence from augmented mean group approach.

Sustainable Development Goal number four (SDG-4) strongly emphasizes quality education, which is crucial to human capital development. The importance of human capital development for sustainable economic development has thus risen to the top of the global policy agenda. However, the empirical literature on the topic has several limitations, including utilizing inappropriate measurement of human capital development and being unable to investigate the quality dimensions of education. Therefore, this study used years of schooling and return on education to fill the gap, and also considered the role of institutional and political factors in its empirical estimation. The main objective of this study is to investigate the effect of human capital development on economic sustainability in 30 Sub-Saharan African countries, employing panel data from 2000 to 2020. The augmented mean group model was used in the empirical investigation. The findings of the study showed that human capital development negatively and significantly affects economic sustainability in Sub-Saharan African countries. Thus, among the policy alternatives that Sub-Saharan African countries and policymakers should pursue to attain the goals of economic sustainability is revisiting the entire human capital development architecture and putting more of an emphasis on quality education than on access to education.

Replacement of SO2 with an Unripe Grape Extract and Chitosan during Oak Aging: Case Study of a Sangiovese Wine.

The aim of this study was to evaluate the chemical, microbiological and sensory characteristics of a Sangiovese wine aged in barrique with the addition of an unripe grape extract (UGE) as an alternative to sulfur dioxide. Three samples were considered: control wine (TQ) with free SO2 of approximately 15 mg/L; sample A with chitosan (100 mg/L) and UGE (200 mg/L); and sample B with UGE (400 mg/L). The results achieved in this work demonstrated that the UGE, either alone or in combination with chitosan, was able to maintain the color characteristics of the Sangiovese wine and its sensory quality. Moreover, the addition of UGE contributed to an early and better stabilization of the color through the formation of polymeric pigments. The microbiological stabilization was comparable to SO2 when UGE was used at 200 mg/L in combination with chitosan. The market survey conducted in the present study confirmed how the use of UGE as an alternative to sulfitation was positively accepted by consumers, who are increasingly attentive not only to the quality of the wines they select but also to the sustainability of the production processes from which they derive and to the fact that they are not harmful to human health.

COVID-19 and Public Health Spending; Effects on the Economic Sustainability of the Spanish Private Healthcare System.

This research analyzes the influence of COVID-19 and public health spending policies on the economic sustainability of Spanish private hospitals. Moreover, it explores the relationship between public health spending policies and the spread of COVID-19 in Spain. Private health care is an understudied sector, yet it is fundamental to the health of citizens. Moreover, the economic causes linked to the spread of the pandemic have not yet been clearly established. Therefore, this work covers a gap in the literature. Private hospital profitability was analyzed by applying ordinary least squares and panel data regressions on financial and macroeconomic data for the period 2017-2020. The spread of COVID-19 was examined by means of cluster and component analysis. The results show that the COVID-19 pandemic negatively affected the economic sustainability of Spanish private hospitals, which was also influenced by public health spending. In turn, the spread of the pandemic was mainly related to population density, but was also influenced by public health spending and the gross domestic product of the region. Therefore, policymakers must consider that it is essential to make adequate investments in the healthcare system to cope with pandemics such as COVID-19. In addition, managers can see how corporate social responsibility is a valuable strategy for maintaining hospital profitability.

Financial outreach, financial innovation, and sustainable development in Africa.

There has been a call on policy makers in the African continent to formulate and implement initiatives that help to realise some of the Sustainable Development Goals (SDGs), due to the low performance of the continent in terms of meeting the targets of the SDGs. Because of this, the study sought to investigate how banks' financial outreach and intermediation contribute to sustainable development in the continent. Information was collected on 34 African economies for a period of 11 years spanning from 2010 to 2020. The study employed the two-step system generalised method of moments technique to estimate the findings. It was discovered that financial outreach has a significant positive and negative relationship with sustainable development, depending on the indicator used to measure outreach. On various dimensions, financial outreach had a negative influence on carbon dioxide emissions, a positive impact on economic sustainability, and an inverse relationship with social sustainability. It was also revealed that financial innovation has a significant negative link with sustainable development in Africa. Additionally, the findings revealed that both financial outreach and innovation serve as moderating variables in the finance/development nexus. The study recommends that governments and policy makers in various African countries work together with financial service providers to ensure fair, flexible, and alluring interest rates on loans to the underprivileged, disadvantaged ones in society, and vulnerable businesses to smooth their consumption and boost their businesses.

The Consequences of COVID-19 Disruption on Sustainable Economy in the Top 30 High-Tech Innovative Countries.

This study aims to investigate the effects of the COVID-19 pandemic on the innovation index, Gross Domestic Product (GDP), high technology exports, and human development (HDI) in the world's leading 30 high-tech innovative countries. Using grey relational analysis models, the association between COVID-19 and other economic development indices was investigated. The model selects the country least affected by the pandemic from the top 30 innovative countries through a conservative (maximin) method based on grey association values. Data was collected from World Bank databases and analyzed to compare pre- and post-COVID-19 periods (2019, 2020). The outcomes of this study provide essential recommendations for industries and decision-makers with suitable action plans to preserve economic systems from further harm caused by the global COVID-19 outbreak. The ultimate goal is to boost the innovation index, GDP, high-tech exports, and HDI of high-tech economies and pave the way for a sustainable economy. To the author's knowledge, this is the first study to develop a multidimensional framework to assess COVID-19's impact on the sustainable economy of top 30 high-tech innovative countries, and to conduct a comparative analysis to identify the strong and weak effects of COVID-19 on sustainable economic growth.