Access to sustainable healthcare infrastructure: a review of industrial emissions, coal fires, and particulate matter.

Environmental health is critical for the economy's social welfare and environmental sustainability. Using time series data from 1975 to 2020, the research examines the short- and long-run relationship between environmental pollutants and healthcare costs in the context of Pakistan. The study's results reveal that short-term and long-term efforts towards cleaner development in terms of carbon emissions, coal combustion, nitrous oxide (N2O) emissions, and industrial value-added have resulted in significant reductions in healthcare expenses due to improved management of industrial emissions. However, in the long run, particulate matter (PM2.5) has a detrimental effect on a country's sustainable healthcare agenda, leading to increased healthcare costs. Furthermore, the increased use of coal-fired power plants that release polycyclic aromatic hydrocarbons (PAH) and revenue generated by contaminated production lead to higher out-of-pocket healthcare costs, increasing a country's risk of morbidity and mortality. The study's Granger causality estimations demonstrate that carbon emissions are responsible for emissions-driven healthcare expenses in a nation. Additionally, economic growth leads to increased carbon emissions and industrial toxins, which are also emission-led. Through variance decomposition analysis (VDA), the study finds that carbon emissions have the highest variance shock of 32.702% on healthcare expenditures in the next ten years. This is followed by polluted income and continued economic growth, which have a variance shock of 13.243% and 8.858%, respectively, over the same period. The findings indicate that the maximum healthcare benefits may be acquired by mitigating environmental pollutants via stringent environmental regulations, reducing industrial toxins through solid waste management techniques, and minimizing coal combustion reliance through renewable fuels. Environmental research is still required to provide more sustainable solutions to the sustainability of the global healthcare agenda.

Major Determinants of Innovation Performance in the Context of Healthcare Sector.

Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data, cross-sectional methods and quantitative research designs were used. To test the study hypotheses, the SEM technique and multiple regression technique were used. Results reveal that AI and the innovation network support the attainment of innovation performance. The finding demonstrates that the relationship between INs and IP links and AI adoption and IP links is mediated through DI. The healthcare industry plays a vital role in facilitating public health and improving the living standards of the people. This sector's growth and development are largely dependent on its innovativeness. This study highlights the major determinants of IP in the healthcare industry in terms of IN and AI adoption. This study adds to the literature's knowledge via an innovative proposal in which the mediation role of DI among IN-IP and AI adoption-innovation links is investigated.

Government as a Facilitator versus Inhibitor of Social Entrepreneurship in Times of Public Health Emergencies.

COVID-19 established the need for even more social entrepreneurship globally. It is important for keeping society together in times of crises because it creates an environment that improves the quality of life during hard times and public health emergencies such as COVID-19. Even though it plays a unique role in returning things back to normal after a crisis, it faces opposition from many parts of society, especially the government. Still, there are not many studies that look at what the government should do to help or stop social enterprise during public health emergencies. That is why the goal of this study was to find out how the government has helped or hindered social entrepreneurs. Content analysis was conducted on the carefully mined data from the internet. The research found that regulations for social enterprises should be loosened, especially during and after pandemics and disasters. This could also make it easier to accomplish things in the government. It was also found that, in addition to financial help, capacity building through training can help social enterprises do more and make a bigger difference. This research provides broader guidelines for policymakers and new entrants in the field.

Economic growth and carbon emissions in Pakistan: the effects of China's Logistics Industry.

The logistics business is a crucial contributor to economic development, yet it is also the leading source of carbon emissions. Economic growth at the expense of environmental deterioration is a challenging issue; this phenomenon offered a new avenue for scholars and policymakers to investigate and address these issues. The recent study is one of the attempts to explore this intricate subject. The goal of this research is to determine whether or not the Chinese logistics sector has an impact on Pakistan's GDP and carbon emissions as a result of CPEC. The research utilized data from 2007Q1 to 2021Q4 using the ARDL approach for an empirical estimate. Due to the mixed order of variable integration and finite data set, the ARDL technique is well deserved, which helps reach sound policy inferences. The study's key results indicated that China's logistic business enhances Pakistan's economic development and carbon emissions in the short and long term. Similarly, China's energy usage, technology, and transportation contribute to Pakistan's economic progress at the price of environmental damage. The empirical study may be a model for other developing nations, given Pakistan's viewpoint. With the support of the empirical results, policymakers in Pakistan and other associated countries would be able to plan for sustainable growth in conjunction with CPEC.

Spatial Effects of Digital Transformation, PM2.5 Exposure, Economic Growth and Technological Innovation Nexus: PM2.5 Concentrations in China during 2010-2020.

Digital transformation can increase lending by commercial banks, which may have an impact on economic development and technological progress, thus affecting air pollution. However, a limited amount of literature has discussed the impact of the digital transformation of commercial banks (DTCB) on air pollution. Based on city-level data from 2010 to 2020, this study used a spatial Durbin model to explore the spatial effects of DTCB on air pollution. This study shows that DTCB significantly increases air pollution in local and surrounding cities. Heterogeneity analysis shows that DTCB increases local and surrounding city air pollution in non-innovative cities and cities with low digital economy development. However, in innovative cities and cities with high digital economy development, DTCB reduces PM2.5 emissions in local and surrounding cities. Mechanism analysis shows that DTCB has no significant impact on technological innovation, but significantly promotes economic development, thus increasing air pollution. From the perspective of DTCB, this paper deepens the research on digital finance and air pollution. Against the background of DTCB, the government should guide commercial banks to apply digital technology to increase lending for technology innovation and promote DTCB to achieve the dual goals of economic development and improvement in air quality.

A study evaluating the extrinsic and intrinsic determinants of farmers' adoption of climate change adaptation strategies: A novel approach for improving farmers' health.

Small-scale farmers living in mountainous areas are particularly vulnerable to climate change. Although governments have implemented various support programs and policies to support a range of farmers to tackle climatic changes, there are still several difficulties in the implementation of these adaptation strategies. Using the survey data of 758 small-scale farmers this paper employs Multivariate Probit (MVP) and Poisson regression models to measure the effects of intrinsic and extrinsic factors affecting farmers adaptation decision in rural Vietnam. The results reveal that the extrinsic factors such as annual rainfall variations and farm size motivate farmers' adoption of their adaptations. The findings also reveal that the political connection has a significantly positive impact on the respondents' selection, while government interference such as extension training programs has a negative association with the farmers adaptation choice. Public extension programs should be simultaneously redesigned to support farmers in mitigating the impacts of climate change.

Organizational culture and affective commitment to e-learning' changes during COVID-19 pandemic: The underlying effects of readiness for change.

Higher education institutions (HEIs) have been embracing digital transformation for years, but the disruptive influence of the global COVID-19 pandemic has accelerated it. Despite the importance of organizational culture (OC) for the successful delivery of e-learning, empirical studies looking at its impact on academics' readiness and affective commitment to e-learning-induced changes are scant. This study unveils the underlying impacts of multiple employee readiness for change (ERFC) dimensions in the OC-employee affective commitment to change (EACC) relationship. Survey data were obtained from 1,200 Jordanian public HEIs' academics. Structural equation modelling was used to analyze the data, testing the study's six hypotheses. The findings offer a novel contribution by showing that OC types influence different dimensions of ERFC, each having a distinctive impact on EACC. It further shows that two ERFC dimensions, namely self-efficacy and personal valence, function as full mediators in the relationships between group culture/adhocracy culture and EACC.

Do precarious female employment and political autonomy affect the under-5 mortality rate? Evidence from 166 countries.

The United Nations' Sustainable Development Goals (SDGs) were designed to benefit the globalized world by safeguarding economic and environmental resources necessary for quality health and well-being and moderate growth and development. The study focused specifically on SDG-3 (good health and well-being), SDG-5 (gender equality), and SDG-8 (decent work and economic growth) to identify the most significant influencing factors that can affect the under-5 mortality rate in a large cross-section of 166 countries. The research used three different regression apparatuses to produce consistent and unbiased estimates: cross-sectional, robust least squares, and quantile regression approaches. Additionally, the innovation accounting matrix technique examines the intertemporal relationships between the variables over the time horizon. The data reveal that precarious female employment increases the under-5 mortality rate. On the other hand, women's political autonomy continued economic growth, and higher immunization coverage is supporting factors for achieving healthcare sustainability agenda. The ex-ante analysis indicates that per capita income will significantly impact the under-5 mortality rate, followed by women's political autonomy, insecure female employment, and immunization coverage during the next ten years. The results are consistent with other health indicators such as the health damage function, labour market function, and wealth function. The study suggests that the more unlocking women's potential in political life, the more likely it is to achieve equitable healthcare choices and reduce the mortality rate among children under five. As a result, there is an urgent need for women to have an equitable share of the labour market to appropriately meet their family healthcare demands.

Impact of Employees' Workplace Environment on Employees' Performance: A Multi-Mediation Model.

This study examined the impact of workplace environment on employee task performance under the mediating role of employee commitment and achievement-striving ability. For this purpose, data were collected from the academic staff under a cross-sectional research design, and they were approached through convenience sampling technique. As per recommendations of established sample size criteria, we distributed a sum of 420 questionnaires among the respondents. Among these distributed questionnaires, only 330 were received back. The returned questionnaires were checked for missing and incomplete responses and after discarding the missing responses useable responses were 314 which were used for the data analysis. Data had been analyzed through structural equation modeling (SEM) by using Smart PLS 3. The SEM was done based on measurement models and structural models. The results indicated that a positive work environment had the power to improve employee performance. Similarly, a positive work environment also improved the employee commitment level and achievement-striving ability significantly. Both employee commitment and achievement-striving ability also improved employee performance. While in the case of mediation, it had also been observed that workplace environment triggered employee commitment and employee achievement-striving ability which further improved employee performance.

Impact of News Overload on Social Media News Curation: Mediating Role of News Avoidance.

In this global village, easy access to news has resulted in many changes in the preferences and patterns of people for accessing news. Therefore, the present study has attempted to investigate the effects of news relevance, perceived quality, and news overloading on people's news curation preferences. This study has also examined the mediating role of news avoidance between the news relevance, perceived quality, and news overloading on the news curation. A quantitative technique has been employed to check the relationships proposed in the study. A sample size of 217 has been analyzed to check these hypotheses. The findings of the study revealed that news relevance has a negative impact while news overload positively and significantly impact the news curation. However, the news avoidance only mediated the relationship of news quality and news curation. Theoretically, the study has contributed to the literature of journalism and social media by finding that relevance of news has a negative significant impact on the news curation behavior of people, such that if they do not find the news relevant, they happily curate it. Practically, the study implies that the people are more prone to the quality of news rather than quantity; therefore, it is important for the news agencies to ensure that they produce and deliver the quality based news considering the accuracy to penetrate the Theoretic lass level.

Determining the level of essential elements in patients with Ewing Sarcoma: A correlation.

BACKGROUND: Metal ion aberrant metabolism is essential for health and disease, and its research has sparked a lot of interest. This study aims to compare the critical mineral resources-magnesium (Mg), sodium (Na), calcium (Ca) and potassium (K)-in biological materials (scalp hair, blood, and serum) of 87 Ewing Sarcoma (ES) hypertensive men and women, age range 31-60 years, in an urban area, with 62 nonhypertensive subjects from the same age range and living area. METHODS: An atomic-absorption spectrophotometer was used after microwave-induced acid digestion to determine elemental concentrations. The results' authenticity and precision were verified using a traditional wet acid digestion procedure and accredited reference materials. The average convalesces from all elements have been within the 99.2%-99.7% of certified values. RESULTS: In the biological samples from patients with ES hypertension, the amount of Na was found to be higher than in controls. Patients with ES hypertension had lower Mg, K, and Ca levels in their biological samples (scalp hair and blood) than healthy controls of both genders. CONCLUSIONS: Ca, Mg, and K deficiency can work with other ES hypertension risk factors. These findings will help physicians and other healthcare professionals determine the depletion of essential micronutrients in the biological samples (blood and scalp hair) of patients with hypertension. After microwave-induced acid digestion, the elemental concentration was determined using an atomic absorption spectrophotometer. The results' authenticity and precision were confirmed using a traditional wet-acid digestion procedure and accredited oriented materials. The average recoveries from all elements have been within the 99.2%-99.7% of certified values.

Evaluating race-to-the-top/bottom hypothesis in high-income countries: controlling emissions cap trading, inbound FDI, renewable energy demand, and trade openness.

The massive rise in the world's average temperature has created major economic and environmental issues that must be addressed by strict environmental legislation. Carbon pricing is seen as a sustainable instrument capable of assisting in the reduction of negative environmental externalities associated with global carbon emissions. The race-to-the-bottom (RTB) hypothesis describes a competitive environment in which economies sacrifice environmental quality standards to undercut competitors, thus undermining the ecological sustainability objective. The study contributed to the evaluation of the RTB hypothesis by examining the role of emissions cap trading instruments in conjunction with inbound foreign direct investment, economic growth, renewable energy demand, and trade openness in reducing carbon emissions, using aggregated data from high-income countries from 1975 to 2019. The linear and non-linear ARDL estimator is used for empirical analysis. The results show that emissions cap trading lowers carbon emissions in the long run while increasing in the short run. Inbound FDI confirmed the "pollution halo hypothesis" in the long run while verifying the "pollution haven hypothesis" in the short run. The per capita income and its associated positive shocks substantially decrease carbon emissions in the short and long runs. Renewable energy demand and trade openness increases carbon emissions in the short and long runs, respectively. On the other hand, trade openness decreases carbon emissions in the short run. The results confirmed the RTB hypothesis in the short run. At the same time, it substantiates the "race-to-the top" (RTT) in the long run, by imposing stringent environmental policies to the way forward towards green and clean development. The study concludes that emissions cap trading and investment in cleaner technologies played a decisive role in reducing environmental pollution. As a result, it is desired to make environmental regulations more environmentally friendly by adopting carbon pricing and technology transfer that will lower the average world temperature.

Do affluent nations value a clean environment and preserve it? Evaluating the N-shaped environmental Kuznets curve.

Since industrialization, the world has been under great strain from rising temperatures. Economies work hard to boost economic growth by sacrificing natural surroundings that are degrading owing to increased carbon emissions from unsustainable production and consumption. The race-to-the-bottom strategy is seen in different parts of the globalized world, corroborating the pollution haven concept and energy-related emissions. The study assumed that once affluent nations reached a particular economic level, they would concentrate on environmental reforms to safeguard environmental and natural resources. The study built a model of the emissions-growth nexus by controlling inward FDI, information and communication technology, research and development expenditures, and renewable energy using aggregated data from high-income nations from 1976 to 2019. The study verified the N-shaped environmental Kuznets curve using a three-degree polynomial factor of per capita income. On the other hand, inward FDI was assessed as having the potential to support the pollution haven hypothesis (PHH) by increasing carbon emissions. The data show that the square and cubic forms of per capita income have a significant negative and positive effect on carbon emissions in the long run, corroborating the short-peak V-shaped EKC hypothesis. However, the N-shaped EKC hypothesis between income and emissions is verified in the short run. The PHH confirmed that more inward FDI is associated with higher long-term carbon emissions. For decreasing global carbon emissions and unclean production, stringent and incentive-based regulations are preferable.

The impact of carbon pricing, climate financing, and financial literacy on COVID-19 cases: go-for-green healthcare policies.

Climate finance and carbon pricing are regarded as sustainable policy mechanisms for mitigating negative environmental externalities via the development of green financing projects and the imposition of taxes on carbon pollution generation. Financial literacy indicates that it is beneficial to invest in cleaner technology to advance the environmental sustainability goal. The current wave of the COVID-19 epidemic has had a detrimental effect on the world economies' health and income. The pandemic crisis dwarfs previous global financial crises in terms of scope and severity, collapsing global financial markets. The study's primary contribution is constructing a climate funding index (CFI) based on four critical factors: inbound foreign direct investment, renewable energy usage, research and development spending, and carbon damages. In a cross-sectional panel of 43 nations, the research evaluates the effect of climate funding, financial literacy, and carbon pricing in lowering exposure to coronavirus cases. The study utilized Newton-Raphson and Marquardt steps to estimate the current parameter estimates while evaluating the COVID-19 prediction model with level regressors using the robust least squares regression model (S-estimator). Additionally, the innovation accounting matrix predicts estimations over a specific period. The findings indicate that climate finance significantly reduces coronavirus exposure by introducing green financing initiatives that benefit human health, which eventually strengthens the immune system's ability to fight infectious illnesses. Financial literacy and carbon pricing, on the other hand, are ineffectual in controlling coronavirus infections due to rising economic activity and densely inhabited areas that enable the transmission of coronavirus cases across countries. Similar findings were obtained using the alternative regression apparatus. The COVID-19 predicted variable was used as a "response variable," and climate financing was shown to have a favorable impact on containing coronavirus exposure. As shown by the innovation accounting matrix, carbon pricing would drastically decrease coronavirus cases' exposure over a time horizon. The study concludes that climate finance and carbon pricing were critical in improving air quality indicators, which improved countries' health and wealth, allowing them to reduce coronavirus infections via sustainable healthcare reforms.

Do environmental pollutants carrier to COVID-19 pandemic? A cross-sectional analysis.

The coronavirus disease (COVID-19) is a highly transmitted disease that spreads all over the globe in a short period. Environmental pollutants are considered one of the carriers to spread the COVID-19 pandemic through health damages. Carbon emissions, PM2.5 emissions, nitrous oxide emissions, GHG, and other GHG emissions are mainly judged separately in the earlier studies in different economic settings. The study hypothesizes that environmental pollutants adversely affect healthcare outcomes, likely to infected people by contagious diseases, including coronavirus cases. The subject matter is vital to analyze the preventive healthcare theory by using different environmental pollutants on the COVID-19 factors: total infected cases, total death cases, and case fatality ratio, in a large cross-section of 119 countries. The study employed the generalized least square (GLS) method for robust inferences. The results show that GHG and CO2 emissions are critical factors likely to increase total coronavirus cases and death rates. On the other hand, nitrous oxide, carbon, and transport emissions increase the case fatality ratio through healthcare damages. The study concludes that stringent environmental policies and improving healthcare infrastructure can control coronavirus cases across countries.

Evaluating pollution damage function through carbon pricing, renewable energy demand, and cleaner technologies in China: blue versus green economy.

Climate change and increased greenhouse gas emissions boost the global average temperature to less than 2°C, which is the estimated breakeven point. The globe is moving into blue pollution economies as the environmental sustainability objective becomes more distorted. The study looked at three United Nations Sustainable Development Goals, namely (i) affordable and clean energy; (ii) industry, innovation, and infrastructure; and (iii) climate change, to see how far the Chinese economy has progressed toward green and clean development strategy. In the context of China, the "pollution damage function" was intended to refer to carbon damages related to carbon pricing, technological variables, sustained economic growth, incoming foreign investment, and green energy. The data was collected between 1975 and 2019 and analyzed using various statistical approaches. The results of the autoregressive distributed lag model suggest that carbon taxes on industrial emissions reduce carbon damages in the short and long run. Furthermore, a rise in inbound foreign investment and renewable energy demand reduces carbon damages in the short term, proving the "pollution halo" and "green energy" hypotheses; nonetheless, the results are insufficient to explain the stated results in the long run. In the long run, technology transfers and continued economic growth are beneficial in reducing carbon damages and confirming the potential of cleaner solutions in pollution mitigation. The causal inferences show the one-way relationship running from carbon pricing and technology transfer to carbon damages, and green energy to high-technology exports in a country. The impulse response estimates suggested that carbon tax, inbound foreign investment, and technology transfers likely decrease carbon damages for the next 10 years. On the other hand, continued economic growth and inadequate green energy sources are likely to increase carbon pollution in a country. The variance decomposition analysis suggested that carbon pricing and information and communication technology exports would likely significantly influence carbon damages over time. To keep the earth's temperature within the set threshold, the true motivation to shift from a blue to a green economy required strict environmental legislation, the use of green energy sources, and the export of cleaner technologies. Source: Authors' self-extract.

The Nexus Between the Big Five Personality Traits Model of the Digital Economy and Blockchain Technology Influencing Organization Psychology.

The basic aim of the study was to understand the role of the Big Five model of personality in predicting emotional intelligence and consequently in triggering the entrepreneurial behavior of the employees. The emotional intelligence of the individuals plays a very important role in decision making, enhancement of quality of living, and many other social realms. Hence, the intelligent use of emotions can make or break an individual's future considering their attitude toward exploiting the entrepreneurial opportunities available. This study has measured the impact of personality traits on emotional intelligence and EI's role in digital entrepreneurial behavior. The population used in this study was the middle management employees in the corporate sector of the mainland in China. The sample size taken in this study was 260 and selected through convenient sampling. The data was collected through a structured questionnaire measuring each variable. The data collected was employed to SmartPLS 3.3 for analyzing through structural equation modeling to measure the hypotheses. The study has found the partial effect of the Big Five model of personality on emotional intelligence, which significantly predicted the digital entrepreneurial behavior of the employees. The organizations can use the study findings to anticipate the employees' possible prospects and endeavors regarding their digital entrepreneurial behaviors.

Destructive Role of COVID-19 Fear on Nurses Performance: Mediating Role of Stress.

Given its importance to psychological issues, the COVID-19 pandemic has created numerous challenges for all individuals, but healthcare professionals and particularly nursing staff are at front lines, and their performance is significantly affected. The current study relates COVID-19 fear with psychological strain, i.e., stress amongst the nursing staff. Moreover, the intervening role of COVID-19 stress between COVID-19 fear and the performance of the nursing staff has also been tested. An online survey was conducted to collect data from nurses. A total of 471 responses of nurses were received during the process of online data collection from 16 November 2020 to 30 April 2021. Results revealed the significant effect of COVID-19 fear on COVID-19 stress and the performance of nurses. Additionally, the results substantiate that COVID-19 stress mediates between COVID-19 fear and the health care performance of nurses. COVID-19 fear has become a psychological consequence that increases stress among nursing staffs. This study fills the research gap about the performance of the health care sectors, particularly with respect to COVID-19 fear and COVID-19 stress among nurses. Hence, COVID-19 fear plays a significant role in COVID-19 stress in terms of influencing the health care performance of nurses. Overall, the results give pragmatic insights for the consequences of the COVID-19 pandemic.

The psychological attraction of food brand by football player’s Advertisement: A Research study of consumer behavior towards product Choice / La atracción psicológica de la marca de alimentos por el jugador de fútbol Advertisement: Un estudio de investigación del comportamiento del consumidor hacia la elección del producto

This research study measures psychological attraction in relation to food brands by football player’s advertisements. This research is based on consumer behavior and examines the effect of product choices—and has been conducted in the context of China using primary data analysis techniques. For analysis, the data is generated on the basis of responses to specific questions related to the psychological attraction, food brand advertisement, consumer behavior, and product choice. To measure the data, the smart PLS software ran different results such as statistical ratio analysis, T-test analysis, regression analysis, generalized linear model, and that reliability test analysis. This study aimed to better understand the components of product attributes in the sporting environment in order to better understand what makes a product-athlete endorsement connection more effective. While it is usual for businesses to utilize athletes for advertising and marketing their products or services, only a limited number of studies have looked at the qualities of athletes and the roles these characteristics play in developing an effective advertisement relationship. Analysis of data findings shows that psychological attraction has a positive and significant impact on consumer behavior and product choice. On the other hand, food brand advertisement shows a positive but insignificant effect on product choice.(AU)

Impact of Sports Psychology, Human Behavior, and Advertisement on the sales of player's shirts and drinks / Impacto de la Psicología del Deporte, el Comportamiento Humano y la Publicidad en las ventas de camisetas y bebidas de los jugadores

Growing health concerns and being overweight as a result of excessive consumption of soft drink have become a major concern around the world. The primary purpose of this research study is to measure the effect of sports psychology, human behavior, and advertisement on the sale of player's shirts and drinks. This research study uses primary data analysis, collected through a questionnaire including specific questions related to the independent and dependent variables understudy. In this research study, sports psychology, human behavior, and advertisement are consider independent variables, and sales of player's shirts and sales of drinks are the dependent variables. For measuring data analysis, the study uses chi-square analysis, descriptive statistical analysis, regression analysis, least-square analysis and other histogram graphs. According to the overall study results, it has been found that sport psychology shows a positive and insignificant impact on the sale of players' shirts. On the other hand, human behavior is found to have a negative but significant impact on the sale of players' shirts. In other words, sport psychology has a negative effect on the sale of drinks, and human behavior has a positive effect on drinks sales. This study has important implications for marketers and policy-makers concerned with public health in general, and obesity reduction in particular. Through social marketing, soft drink marketers may incorporate obesity-reduction activities. This study proposes a conceptual framework soft drink anti-consumption behavior, emphasizing health concerns and exploring the impact of sociocultural variables on anti-consumption.(AU)