Techno-economic analysis of biogas production from domestic organic wastes and locally sourced material: the moderating role of social media based-awareness.

Management of organic waste addresses the issue of cleanliness and sanitation in developing nations such as Pakistan, where improper waste management usually leads to significant health problems and early mortality. The control of organic waste in rural regions of Pakistan and other developing nations needs to be undertaken using effective solutions. This study contributes to satisfying local needs such as cooking, lighting, and maintaining a comfortable temperature in anaerobic locations and works as a guideline for converting to biogas. This research aims to ascertain households' most substantial challenges concerning biogas production using domestic organic waste and locally sourced materials. The analysis is conducted on data from 81 respondents gathered using a comprehensive questionnaire assessment. Respondents were carefully chosen with the purposive sampling process. Primary data were collected from a structured questionnaire and partial least squares structural equation modeling (PLS-SEM) to evaluate the formulated assumptions. The results indicate that managing organic waste positively influences the sustainable improvement of biogas using human organic waste and locally resourced materials. The selected variables and their moderating effect significantly and favorably influence this conceptual model. Furthermore, all manipulating influences are constructively connected with implementing biogas technology using organic waste and locally resourced material, minimizing household energy expenses, and satisfying local needs. This study concludes that the government's green energy policy and economic incentives encourage households to use biogas energy produced from organic waste and locally resourced material. The government should use modern technology, resident training, and expert methodological assistance to induce households into biogas production using domestic organic waste and locally resourced material. Finally, the study's limitations and suggestions for further research are also addressed.

Impact of internal metal ions in tea polysaccharides on antioxidant potential and suppression of cancer cell growth.

Four kinds of tea polysaccharides (MBTPS, MGTPS, ZBTPS, ZGTPS) were extracted from Maofeng black tea, Maofeng green tea,Ziyan black tea and Ziyan green tea, and then four tea polysaccharides (RMBTPS, RMGTPS, RZBTPS, RZGTPS) after metal removal were prepared. The physicochemical properties, antioxidant activity and inhibitory activity on cancer cell proliferation of the above polysaccharides were studied. The composition analysis shows that these tea polysaccharides were glycoproteins complexes, composed of a variety of monosaccharides, and the removal of metal ions did not lead to fundamental changes in the composition of polysaccharides. In vitro activity, after removing metal ions, the ABTS free radicals scavenging ability and reducing power of tea polysaccharides were decreased, and the inhibitory effect on proliferation of H22 cells weakened. There was a great correlation between metal elements Al and Ni and biological activity. The results showed that the metal ions in tea polysaccharides, especially Al and Ni, had positive effects on biological activity.

Exploring the China-Pakistan economic corridor project performance during Covid-19 pandemic.

The outburst of the coronavirus into the global arena, first as a respiratory disease and later as a worldwide pandemic and health emergency, pushed the world economic order into complete turmoil and aftermath, posing severe challenges to the financial stability of developing countries like Pakistan. The temporary suspension of economic activities worldwide has resulted in significant disruptions to international supply chains, leading to substantial delays in implementing infrastructure projects associated with the China-Pakistan Economic Corridor (CPEC). The pandemic has further hindered CPEC progress. Building mega-projects, such as the CPEC, is crucial in determining the economic stability of a nation such as Pakistan. Nevertheless, it is essential to consider that the implementation of infrastructure projects can be subject to delays due to the COVID-19 lockdown and travel restrictions. However, it is worth noting that there needs to be more scholarly research available examining the ongoing progress and performance of CPEC projects from a particular perspective. This study aims to assess the impact of the COVID-19 lockdown policy and travel restrictions on CPEC project performances by highlighting the role of socioeconomic and infrastructure development factors. The study will shed light on numerous causes of concerns in project development phases and provide policy recommendations to help CPEC officials reduce project losses and better survival in the event of extreme uncertainty. The data were collected through an online survey from all over Pakistan using self-administered questionnaires with 570 responses from CPEC employees, officials, and professors from management and economic departments. The structural equation modeling (SEM) technique analyzes the problem mentioned above. As per the results of this study, it is evident that the COVID-19 lockdown policy and travel restrictions have a detrimental effect on the construction of the CPEC project. Moreover, it has been observed that the socioeconomic and infrastructure development associated with the CPEC has a notable impact on the performance of the CPEC projects. This paper aims to provide valuable insights to policymakers by examining the management of the COVID-19 pandemic from the perspective of the CPEC.

Comparing characteristics and perspectives of U.S. anesthesiology fellows in training and anesthesiologists in their first year of practice.

BACKGROUND: The purpose of this study was to evaluate relationships between demographics, professional characteristics, and perceived challenges facing the specialty of anesthesiology among physicians who entered a fellowship and those who started independent practice immediately after finishing a U.S. anesthesiology residency. METHODS: Anesthesiologists in the year after their residency graduation were invited to take an online survey during the academic years of 2016-2017, 2017-2018, and 2018-2019, with questions about their personal characteristics, the nature of their professional lives, and their perceptions of the greatest challenge facing the profession of anesthesiology. RESULTS: A total of 884 fellows-in-training and 735 anesthesiologists starting independent practice right after the completion of their residency responded. Fellows were slightly younger (mean = 33.2 vs. 34.0 years old, p < 0.001), were more likely to have a spouse who works outside the home (63.9% vs. 57.0%, p = 0.002), had fewer children (mean = 0.69 vs. 0.88, p < 0.001), worked more hours per week (mean = 56.2 vs. 52.4, p < 0.001), and were less likely to report a personal and professional life balance (66.4% vs. 72.3% positive, p = 0.005) than direct-entry anesthesiologists. Fellows and direct-entry anesthesiologists identified similar challenges in three broad themes - workforce competition (80.3% and 71.8%), healthcare system changes (30.0% and 37.9%), and personal challenges (6.4% and 8.8%). Employment security issues posed by non-physician anesthesia providers and perceived lack of appreciation of anesthesiologists' value were commonly cited. Relative weighting of challenge concerns varied between fellows and direct-entry physicians, as well as within these groups based on gender, fellowship subspecialty, location or size of practice, and frequency of supervisory roles. CONCLUSIONS: Anesthesiology fellows and direct-entry anesthesiologists had largely similar demographics and perspectives on the challenges facing anesthesiology in the United States. Group differences found in some demographics and perspectives may reflect different motivations for choosing their professional paths and their diverse professional experiences.

Does biogas energy influence the sustainable development of entrepreneurial business? An application of the extended theory of planned behavior.

As a result of air pollution and accelerated climate change, entrepreneurship is gradually becoming a deciding factor in the global conversation about saving the planet with renewable energy sources. To sustain the economy and entrepreneurial culture for future generations, researchers and entrepreneurs seek environmentally friendly methods for supporting entrepreneurial enterprises. Fossil fuel-based energy has significantly impeded the country's sustainable development. Pakistan lacks research examining the connection between biogas energy technology and entrepreneurship. This study aims to cover this void in the literature by employing the theory of planned behavior to investigate bioenergy as a business prospect for supportable monetary growth. The primary data comprises 358 comprehensive questionnaire survey respondents. PLS-SEM verifies the model and examines the suppositions. According to pragmatic findings, all views are positively and substantially associated with the sustainable progress of business enterprises implementing biogas energy. In contrast, social media awareness had no moderating effect on the dependent variable. Consequently, social media awareness substantially modifies the associations between all independent variables adopting biogas energy. The results of this research indicate the standing of altering social customs regarding private enterprise, increasing businesspersons' consciousness of these matters, reforming controlling arrangements, and highlighting the assistance of business events made possible by biogas energy technology, which increases businesspeople's investment returns. Conclusively, the study's limits and approvals for future research are emphasized.

Do urban agglomeration planning policies promote the discharge reduction of industrial wastewater: Evidence from the Yellow River Basin in China.

The environmental effects of the urban agglomeration planning policy (UAPP) are an exploration by rapidly developing China and a concern for countries seeking development and urban reform around the world. This paper takes the three regional urban agglomerations in the Yellow River Basin (YRB) as the research object and collects the panel data of 106 prefecture-level cities from 2006 to 2019 to study the reduction effects of UAPP on the industrial wastewater discharge (IWD). The empirical results from Difference-in-Differences models indicate that UAPP can significantly inhibit IWD. UAPP reduces IWD by promoting green innovation, and the development of service industries can strengthen this effect. UAPP shows a stronger IWD reduction effect in the northeast YRB than that in the southwest region. Compared to urban agglomerations with a single provincial jurisdiction, UAPP exerts stronger IWD reduction effects on urban agglomerations with multiple jurisdictions. Moreover, there exist spatial spillover effects of UAPP on IWD. These findings provide support and references for urban reform and the development of green cities in countries around the world, especially in developing countries.

A comparison of the American Board of Anesthesiology's in-person and virtual objective structured clinical examinations.

BACKGROUND: The American Board of Anesthesiology's Objective Structured Clinical Examination (OSCE), as a component of its initial certification process, had been administered in-person in a dedicated assessment center since its launch in 2018 until March 2020. Due to the COVID-19 pandemic, a virtual format of the exam was piloted in December 2020 and was administered in 2021. This study aimed to compare candidate performance, examiner grading severity, and scenario difficulty between these two formats of the OSCE. METHODS: The Many-Facet Rasch Model was utilized to estimate candidate performance, examiner grading severity, and scenario difficulty for the in-person and virtual OSCEs separately. The virtual OSCE was equated to the in-person OSCE by common examiners and common scenarios. Independent-samples t-test was used to compare candidate performance, and partially overlapping samples t-tests were applied to compare examiner grading severity and scenario difficulty between the in-person and virtual OSCEs. RESULTS: The in-person (n = 3235) and virtual (n = 2934) first-time candidates were comparable in age, sex, race/ethnicity, and whether U.S. medical school graduates. The virtual scenarios (n = 35, mean [0.21] ± SD [0.38] in logits) were more difficult than the in-person scenarios (n = 93, 0.00 ± 0.69, Welch's partially overlapping samples t-test, p = 0.01); there were no statistically significant differences in examiner severity (n = 390, -0.01 ± 0.82 vs. n = 304, -0.02 ± 0.93, Welch's partially overlapping samples t-test, p = 0.81) or candidate performance (2.19 ± 0.93 vs. 2.18 ± 0.92, Welch's independent samples t-test, p = 0.83) between the in-person and virtual OSCEs. CONCLUSIONS: Our retrospective analyses of first-time OSCEs found comparable candidate performance and examiner grading severity between the in-person and virtual formats, despite the virtual scenarios being more difficult than the in-person scenarios. These results provided assurance that the virtual OSCE functioned reasonably well in a high-stakes setting.

Exploring the Intertwined Nexus between Globalization, Energy Usage, Economic Complexity, and Environmental Quality in Emerging Asian Economies: A Pathway Towards a Greener Future.

The study aims to examine the relationship between carbon emissions and ecological footprints with economic complexity, core pollution indicators, urbanization, globalization, and renewable and non-renewable energy consumption in eight emerging Asian economies from 1971 to 2020. A panel data framework that considers cross-sectional dependence and heterogeneity was used for analysis. The Pedroni and Johnsen Fisher cointegration showed that carbon emission, ecological footprint, renewable and non-renewable energy consumption, economic complexity, globalization, and urbanization confirmed the presence of cointegration. Moreover, fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DLOS) indicated that globalization, non-renewable energy consumption, and economic complexity increase emission and ecological footprint in the long run, whereas renewable energy generated through biomass, solar, and wind decreases environmental degradation. Furthermore, urbanization also negatively affects the environment. From a policy perspective, policymakers in these countries may manage their natural resources efficiently by escalating the share of renewables in total energy production, offering tax holidays, incentives and encouraging companies to install clean energy plant, and providing support to research and development-oriented companies to engage in research activities to reduce the cost of production of renewable energy.

Can bioenergy act as an entrepreneurial opportunity for the sustainable economic development of an emerging economy? A socio-technical approach.

Challenges in adopting renewable energy have become significant roadblocks to the country's sustainable progress. There is a shortage of studies examining how adopting biogas energy plants affects entrepreneurship in Pakistan's off-grid areas. This study aims to address this gap in the literature by investigating bioenergy as an entrepreneurial opportunity for the sustainable economic development of an emerging economy. Primary data comprising 305 respondents was used in Punjab Province by employing an inclusive questionnaire survey. The partial least square structural equation modeling (PLS-SEM) technique validates the model and analyzes the designated hypotheses. Empirical outcomes reveal that enhanced social and entrepreneurial prosperity adopting biogas plants, sustainable economic development of entrepreneurial businesses adopting biogas plants, and adoption in entrepreneurship improve the standard of living positively and significantly associated with intention to enhance entrepreneurship performance through biogas energy adoption. On the contrary, the production-cost reduction of adopting biogas plants in entrepreneurial businesses had no significant effect on intention to improve entrepreneurship performance through biogas energy adoption. Meanwhile, the intention to enhance entrepreneurship performance through biogas energy adoption positively mediates the relationship among enhanced social and entrepreneurial prosperity adopting biogas plants, sustainable economic development of entrepreneurial businesses adopting biogas plants, biogas plant adoption in entrepreneurship improves the standard of living, and economic development of entrepreneurial activities adopting biogas technology. Correspondingly, social media and word of mouth significantly moderate the relationships between the intention to enhance entrepreneurship performance through biogas energy adoption and the economic development of entrepreneurial activities adopting biogas energy. The results of this study show how crucial it is to change societal norms surrounding entrepreneurship, raise entrepreneurs' awareness of these issues, reform regulatory systems, and emphasize the benefits of entrepreneurial activities offered by biogas energy plants that grow entrepreneurs' standard of living. Finally, the study's limitations and recommendations for additional studies are highlighted.

Career decisions, training priorities, and perceived challenges for anesthesiology residents in the United States.

STUDY OBJECTIVE: This study sought to understand the timing and important factors identified by residents regarding their decision to pursue a career in anesthesiology, training areas deemed important to their future success, perceived greatest challenges facing the profession of anesthesiology, and their post-residency plans. DESIGN: The American Board of Anesthesiology administered voluntary, anonymous, repeated cross-sectional surveys to residents who began clinical anesthesia training in the U.S. from 2013 to 2016 and were subsequently followed up yearly until the completion of their residency. The analyses included data from 12 surveys (4 cohorts from clinical anesthesia years 1 to 3), including multiple-choice questions, rankings, Likert scales, and free text responses. Free responses were analyzed using an iterative inductive coding process to determine the main themes. MAIN RESULTS: The overall response rate was 36% (6480 responses to 17,793 invitations). Forty-five percent of residents chose anesthesiology during the 3rd year of medical school. "Nature of the clinical practice of anesthesiology" was the most important factor influencing their decision (average ranking of 5.93 out of 8 factors, 1 [least important] to 8 [most important]), followed by "ability to use pharmacology to acutely manipulate physiology" (5.75) and "favorable lifestyle" (5.22). "Practice management" and "political advocacy for anesthesiologists" (average rating 4.46 and 4.42, respectively, on a scale of 1 [very unimportant] to 5 [very important]) were considered the most important non-traditional training areas, followed by "anesthesiologists as leaders of the perioperative surgical home" (4.32), "structure and financing of the healthcare system" (4.27), and "principles of quality improvement" (4.26). Three out of 5 residents desired to pursue a fellowship; pain medicine, pediatric anesthesiology, and cardiac anesthesiology were the most popular choices, each accounting for approximately 20% of prospective fellows. Perceived greatest challenges facing the profession of anesthesiology included workforce competition from non-physician anesthesia providers and lack of advocacy for anesthesiologist values (referenced by 96% of respondents), changes and uncertainty in healthcare systems (30%), and personal challenges such as psychological well-being (3%). CONCLUSIONS: Most residents identified anesthesiology as their career choice during medical school. Interest in non-traditional subjects and fellowship training was common. Competition from non-physician providers, healthcare system changes, and compromised psychological well-being were perceived concerns.

Digital transformation: fresh insights to implement green supply chain management, eco-technological innovation, and collaborative capability in manufacturing sector of an emerging economy.

The increasing significance of green supply chain management in developing countries' manufacturing sector is primarily driven by the deteriorating environment, signified by decreasing raw material resources, a surplus of waste sites, and rising pollution levels. Green supply chain management can provide competitiveness while boosting a company's environmental sustainability if implemented effectively. Therefore, it is necessary to determine the effect of green supply chain management practices on the firm performance of the manufacturing sector. This research aims to determine the moderating effect of collaborative capability and the mediating influence of eco-technological innovation and environmental strategy on the relationship between green supply chain management and firm performance. Five hundred fifty survey questionnaires are gathered from manufacturing firms of China. Utilizing structural equation modeling (SEM), the proposed hypotheses have been analyzed and investigated. The results show that green supply chain management indirectly affects the firm performance. Moreover, green supply chain management is positively related to environmental strategy and eco-technological innovation, which effectively enhance firm performance. The findings further indicate that environmental strategy and eco-technological innovation significantly mediate the association between green supply chain management and firm performance. Furthermore, collaborative capability significantly and positively moderates the relationship between green supply chain management and firm performance. As a result, the adoption of these factors influences firm performance positively and will assist the manufacturing sector in meeting diverse yet radically changing requirements and overcoming obstacles originating from a dynamic global business environment. Consequently, it is of the utmost importance that businesses must utilize green practices with relatively low environmental impacts. Companies can considerably maintain and improve their firm performance by reducing the environmental impact if they have effective collaborative capabilities, eco-technological innovation, and environmental strategies.

Sustainable green revolution through the development of solar power projects in Pakistan: a techno-economic analysis.

Energy is essential to a recent way of life that needs to be addressed in economic and environmentally supportable improvement negotiations. The economic output of solar energy development has become the primary concern, particularly in emerging nations like Pakistan. The present research estimates a techno-economic analysis and sustainable green revolution by improving this country's solar energy projects (SEP). The study observes the moderating role of top management and risk factors of the procedures between financial management procedures and the economic output of SEP. A comprehensive opinion poll assessment accomplishes the investigation on facts from 61 respondents (finance executives, financial managers, shareholders, and owner investors). Partly least squares structural equation modeling (PLS-SEM) evaluates the hypotheses. The findings indicate that a techno-economic analysis and green revolution favor the ecological improvement of solar energy installations. The cash-flow analysis significantly contributes to the SEP's improved economic output. In addition, the results reveal that the role of top management and risk factors suggestively moderate the relationship between financial management procedures and the economic output of SEP. These outcomes give policymakers, competent authorities, and regulators an excellent guide to upsurge cleaner fabrication and ecological improvement of SEP.

Modeling the impact of energy poverty on income poverty, health poverty, educational poverty, and environmental poverty: a roadmap towards environmental sustainability.

Energy poverty has gained considerable attention worldwide, adversely affecting income, education, health, and the environment. However, no study has examined the linkages among these dimensions and especially during COVID-19 in the Pakistani perspective. To bridge this research gap, we scrutinized the relationship among these variables to measure the hypotheses. The study analyzed the survey data collected from university students to meet the research objectives. We employed SPSS 26 for statistical description and correlation analysis and AMOS 26 to construct structural equation modeling to test the proposed hypotheses. The findings disclose that COVID-19 pandemic boosts energy poverty in Pakistan. Moreover, energy poverty positively and significantly influences income poverty, health poverty, educational poverty, and environmental poverty. Finally, relevant practical suggestions are provided based on the study findings.

Influence of access to clean fuels and technology, food production index, consumer price index, and income on greenhouse gas emissions from food system: evidence from developed countries.

Sustainable development objectives heavily promote the advancement of cleaner production technologies to reduce emissions and conserve the average world temperature. For the years 1990-2020, the USA, China, Japan, Russia, Germany, and Australia are studied by using the panel fully modified ordinary least square (FMOLS). The results show that clean fuels and technologies and a consumer price index are helpful to reduce greenhouse gas emissions from food system which reduce environmental degradation. Contrarily, increased income and food production contribute to environmental deterioration. There are bidirectional Dumitrescu-Hurlin causal relationships between access to clean fuels and technology and greenhouse gas emissions from food system; real income and greenhouse gas emissions from food system; income and access to clean fuels and technology; income and consumer price index; and income and food production index. This research also revealed a unidirectional causation between the consumer price index and greenhouse gas emissions from food system; food production index and greenhouse gas emissions from food system; access to clean fuels and technology and the consumer price index; and access to clean fuels and technology and the food production index. These findings provide policymakers with relevant content: to promote the goal of green growth, the government should implement consistent measures to subsidize the food industry. Incorporating carbon pricing into food system emissions models would serve to lower production of polluting foods, which would enhance air quality indicators. Finally, a consumer price index should be controlled by controlling prices of green technologies in environmental modeling to improve sustainable development globally and reduce environmental pollution.

A comparison of 3- and 4-option multiple-choice items for medical subspecialty in-training examinations.

BACKGROUND: The American Board of Anesthesiology piloted 3-option multiple-choice items (MCIs) for its 2020 administration of 150-item subspecialty in-training examinations for Critical Care Medicine (ITE-CCM) and Pediatric Anesthesiology (ITE-PA). The 3-option MCIs were transformed from their 4-option counterparts, which were administered in 2019, by removing the least effective distractor. The purpose of this study was to compare physician performance, response time, and item and exam characteristics between the 4-option and 3-option exams. METHODS: Independent-samples t-test was used to examine the differences in physician percent-correct score; paired t-test was used to examine the differences in response time and item characteristics. The Kuder and Richardson Formula 20 was used to calculate the reliability of each exam form. Both the traditional (distractor being selected by fewer than 5% of examinees and/or showing a positive correlation with total score) and sliding scale (adjusting the frequency threshold of distractor being chosen by item difficulty) methods were used to identify non-functioning distractors (NFDs). RESULTS: Physicians who took the 3-option ITE-CCM (mean = 67.7%) scored 2.1 percent correct higher than those who took the 4-option ITE-CCM (65.7%). Accordingly, 3-option ITE-CCM items were significantly easier than their 4-option counterparts. No such differences were found between the 4-option and 3-option ITE-PAs (71.8% versus 71.7%). Item discrimination (4-option ITE-CCM [an average of 0.13], 3-option ITE-CCM [0.12]; 4-option ITE-PA [0.08], 3-option ITE-PA [0.09]) and exam reliability (0.75 and 0.74 for 4- and 3-option ITE-CCMs, respectively; 0.62 and 0.67 for 4-option and 3-option ITE-PAs, respectively) were similar between these two formats for both ITEs. On average, physicians spent 3.4 (55.5 versus 58.9) and 1.3 (46.2 versus 47.5) seconds less per item on 3-option items than 4-option items for ITE-CCM and ITE-PA, respectively. Using the traditional method, the percentage of NFDs dropped from 51.3% in the 4-option ITE-CCM to 37.0% in the 3-option ITE-CCM and from 62.7% to 46.0% for the ITE-PA; using the sliding scale method, the percentage of NFDs dropped from 36.0% to 21.7% for the ITE-CCM and from 44.9% to 27.7% for the ITE-PA. CONCLUSIONS: Three-option MCIs function as robustly as their 4-option counterparts. The efficiency achieved by spending less time on each item poses opportunities to increase content coverage for a fixed testing period. The results should be interpreted in the context of exam content and distribution of examinee abilities.

Effects of globalization, foreign direct investment and economic growth on renewable electricity consumption.

Renewable energy has been seen as a viable solution to the problems of environmental degradation and the energy crisis. This study examines the long - and short-run linkages between economic globalization, foreign direct investment (FDI), economic growth, and renewable electricity consumption in China's Belt and Road Initiative (BRI) countries. Therefore, this study uses the Pooled Mean Group (PMG) autoregressive distributed lag (ARDL) technique to measure the relationship between constructs based on data collected from 2000 to 2020. The overall results show the collaborative integration of Belt and Road (BRI) countries in terms of globalization, economic growth, and renewable electricity utilization. The results show that there is a long-term positive relationship between FDI and renewable electricity consumption, but a negative relationship in the short term. Furthermore, economic growth is positively correlated with renewable electricity consumption in the long run and negatively correlated in the short run. This study suggests that the governments of BRI countries should encourage globalization by improving technology and knowledge related to renewable electricity consumption in all areas.

Determinants of CSR and green purchase intention: Mediating role of customer green psychology during COVID-19 pandemic.

COVID-19 is a viral disease also comprehended as a coronavirus pandemic that has compelled the world to revisit business strategies to encounter COVID-19 challenges. Over the last decade, ample research has been accomplished on corporate social responsibility (CSR) and circular economy. Nevertheless, a key research gap requires to be filled that how CSR can perform a foremost role in engaging stakeholders like consumers during the COVID-19 era. Drawing from the stakeholder theory, this research endeavors to probe CSR's impact on green purchase intention (GPI) with mediating role of green psychology (GP). Data for the study were gathered from mainland China employing convenience sampling and examined by utilizing SEM (Structural Equation Model). First, the study indicated a direct relationship between CSR and GPI as well as between CSR and GP within three streams, i.e., green trust (GT), green satisfaction (GS), and green perceived value (GPV). It is found that GT, GS, and GPV positively influence GPI whereas the positive mediating relationships of each GP factor were autonomously observed between CSR and GPI, respectively. This research can improve the understanding of the enterprises about consumers and how incorporating green activities may enhance consumers' GPI and GP during the COVID-19 pandemic. This study addresses numerous interesting and insightful implications for strategic management together with certain possibilities for prospective researchers.

Antioxidant and hypoglycemic activity of tea polysaccharides with different degrees of fermentation.

Four polysaccharides (GTPS, OTPS, BTPS and DTPS) were extracted from green tea, oolong tea, black tea and dark tea respectively. The physical and chemical properties, antioxidant and hypoglycemic activities were studied. Structural analysis showed that these tea polysaccharides were glycoprotein complexes, and there were significant differences in microstructure, protein, total sugar and uronic acid content. They were all composed of multiple monosaccharides and different molar ratios. In terms of antioxidant activity, completely fermented BTPS and DTPS had higher activity. Regarding to hypoglycemic effects, BTPS showed higher α-glucosidase inhibitory activity in vitro. And in the treatment of type 2 diabetes mice, Oral BTPS significantly controlled the levels of blood glucose, TG, TC, LDL-C, Cr, UREA, ALT and AST in diabetic mice, and improved insulin resistance. Histopathological observation further confirmed that BTPS can alleviate liver injury caused by hyperglycemia and hyperlipidemia. Data showed that BTPS significantly improved hyperglycemia and liver function in diabetic mice.

Optimization of carbon performance evaluation and its application to strategy decision for investment of green technology innovation.

Carbon regulation and the mechanism of carbon emission right motivate firms with high carbon consumption and emission to transition to a production and operation model with higher carbon usage. Green technology innovation is the usual way out, with carbon performance metrics serving as guideposts along the route. The intersection of the two topics is the focus of this study. The carbon performance evaluation is optimized by taking carbon asset variance into account. This criteria investigates investment in green technology innovation for its relationship with carbon performance, and investment plans are assessed and determined for the optimum carbon performance based on a stochastic model using geometric Brownian motion for Monte Carlo simulation and prediction. Strategy design of green technology investment is optimized by comparison among a series of proposed schemes, and the conclusions based on case study are applicable for similar situations of enterprises with carbon consumption. The following are the ways in which this research contributes. 1) Improvement of the carbon performance measure by the addition of carbon asset modifications. 2) The practical application of carbon performance, which serves to direct management practice, is illustrated and realized.

Digital inclusive finance and consumption-based embodied carbon emissions: A dual perspective of consumption and industry upgrading.

Promoting the development of financial instruments can influence carbon emission reduction in the context of the carbon peaking and carbon neutrality goals. There are currently no theoretical mechanisms to explain whether and how digital inclusive finance, as a new type of financial service, influences residential consumption-based embodied carbon emissions. This study employs the mediation model, moderation model, and moderated mediation model to empirically evaluate the influence mechanism of digital inclusive finance on consumption-based embodied carbon emissions per capita in China from 2011 to 2019. The findings demonstrate that the development of digital inclusive finance increases residents' consumption-based embodied carbon emissions by upgrading consumption level and consumption structure, but that upgrading industrial structure does indeed have a significantly negative moderating effect in implications paths, causing consumption-based embodied carbon emissions to shift from positive to negative. This study, by focusing on the advancement of digital inclusive finance, offers policymakers suggestions for reducing consumption-based embodied carbon emissions from the standpoints of consumption upgrading and industrial structure upgrading, respectively.