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Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.

This study highlights the appropriateness of innovation management principles to successfully manage radical change in the e-commerce industry during the COVID-19 period. The study focuses on transforming delivery platforms in the context of popular e-commerce organizations in the U.A.E. We conducted the study through interviews, and the results reflect the development of three major themes (shifting consumer behavior, implementation of innovation, and innovation for effective change management) since the beginning of the COVID-19 pandemic. During the transition stage, critical aspects concerning product delivery have emerged to stabilize logistics performance with sustainability. The study suggests that firms need to be faster and more flexible to address the market uncertainty through innovative practices. Similar organizations can use this study to develop mechanisms to improve their delivery systems. Additionally, the study also argues that collaborative innovation significantly contributes to the enhancement of consumers’ well-being and boosts economic growth.

Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has caused a rapidly spreading pandemic and is severely threatening public health globally. The human-to-human transmission route of SARS-CoV-2 is now well established. The reported clinical observations and symptoms of this infection in humans appear in the range between being asymptomatic and severe pneumonia. The virus can be transmitted through aerosols and droplets that are released into the air by a carrier, especially when the person coughs, sneezes, or talks forcefully in a closed environment. As the disease progresses, the use and handling of contaminated personal protective equipment and facemasks have become major issues with significant environmental risks. Therefore, providing an effective method for treating used/contaminated facemasks is crucial. In this paper, we review the environmental challenges and risks associated with the surge in facemask production. We also discuss facemasks and their materials as sources of microplastics and how disposal procedures can potentially lead to the contamination of water resources. We herein review the potential of developing nanomaterial-based antiviral and self-cleaning facemasks. This review discusses these challenges and concludes that the use of sustainable and alternative facemask materials is a promising and viable solution. In this context, it has become essential to address the emerging challenges by developing a new class of facemasks that are effective against the virus, while being biodegradable and sustainable. This paper represents the potentials of natural and/or biodegradable polymers for manufacturing facemasks, such as wood-based polymers, chitosan, and other biodegradable synthetic polymers for achieving sustainability goals during and after pandemics.

Abstract Achieving carbon peak and carbon neutrality is an inherent requirement for countries to promote green recovery and transformation of the global economy after the COVID-19 pandemic. As "a smoke-free industry", its agglomeration may have significant impacts on CO2 emission reduction. This study uses nightlight data to calculate the CO2 emissions of 268 cities in China from 2005 to 2017 and then employs dynamic spatial Dubin model and intermediary effect model to explore the impact and transmission mechanism of producer services agglomeration (PSA) on CO2 emissions. Furthermore, the dynamic threshold model is used to analyze the nonlinear characteristics of PSA on CO2 emissions under different degrees of government intervention. The findings indicate that: (1) Generally, China's CO2 emissions are path-dependent in the time dimension, showing a "snowball effect". PSA not only significantly inhibits local CO2 emissions, but also reduces CO2 emissions in adjacent areas through spatial spillover effect; (2) PSA can indirectly curb CO2 emissions through economies of scale, technological innovation and industrial structure upgrading, Heterogeneity analysis shows that there are significant differences in the impact of PSA on CO2 emissions in different regions, time nodes and sub-industries; (3) The impact of PSA on China's CO2 emissions has an obvious double threshold effect under different degree of government intervention. Accordingly, the Chinese government should increase the support for producer services, dynamically adjust industrial policies, take a moderate intervention, and strengthen market-oriented reform to reduce CO2 emissions so that the goal of "carbon peak and carbon neutrality” can be early achieved.

Food security is a central priority for international policy as one of the world’s most significantly urgent targets to achieve. It is considered one of the most pressing issues in many countries, the degree of food security representing the level of self-sufficiency and well-being of citizens. In particular, in the current COVID-19 pandemic era, it has more than ever become a mission-critical goal. In this research, we report on the food security drivers and the current state of recommended policies addressing chronic food insecurity aimed at ensuring the sustainability of future food production. Mapping the determinants of food security contributes to a better understanding of the issue and aids in the development of appropriate food security policies and strategies to enhance the sustainability of food production in all facets; namely environmental, social, and economic. Adopting the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) data screening and selection guidelines and standards, we carried out a comprehensive, reliable, systematic, and rigorous review of research from the last ten years in order to identify the most frequently mentioned drivers and policies of food security in the literature available in two databases: Scopus and Web of Science (WOS). The number of extracted articles was 141 papers in total. An analysis revealed 34 drivers of food security and 17 most recommended policies for the mitigation of food insecurity. The existence of food loss and waste (FLW) policies was the primary driver of food security, followed by food security policies (FSP) in their different forms. However, FSP were the most recommended policies, followed by FLW policies. The identified food security drivers and recommended policies should be used by policy-makers to improve food security, thus contributing to sustainable food production. Our research findings, reflected in the latest version of the Global Food Security Index (GFSI), resulted in more tangible policy implications, suggesting the addition of two dimensions regarding food security. We also identified elements not listed under the GFSI that could be considered in its future revision, including environmental policies/indicators, consumer representation, and traceability throughout the entire supply chain. Overall, it can be concluded that food security is a complicated and multi-faceted issue that cannot be restricted to a single variable, necessitating the deeper integration of various multi-disciplinary interventions.

In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.

Understanding and examining energy markets correctly is crucial for stakeholders to attain maximum benefit and avoid risks. As a matter of fact, the volatility that occurred in energy markets and recent crises had major impacts on national economies. Dynamic connectedness relationships (DCRs) can make quite powerful predictions for both low-frequency data and limited time-series data. The objective of this study is to explicate the dynamic connectedness relationships among the BIST sustainability index, BIST 100 index, S&P Global Clean Energy index (S&P GCEI), and S&P GSCI carbon emission allowances (EUA). The daily data obtained over the period 11 April 2014–11 November 2022 were used for the research study. The DCRs among the variables used in the study were investigated by employing the time-varying parameter vector autoregressive (TVP-VAR) model. As a result of the study, the volatility from carbon emission allowances was determined to spill over to S&P GCEI, BIST 100, and BIST sustainability indexes. During the COVID-19 pandemic, significant reductions were detected in the volatility spillover (VS) from carbon emission allowances to S&P GCEI, BIST 100, and BIST sustainability indexes. Moreover, it was revealed that a weak VS existed from S&P GCEI to BIST sustainability and BIST 100 indexes. The findings reveal the importance of policymakers taking some incentive measures in EUA prices and also its role in portfolio diversification.

This study aims to identify why firms, specifically SMEs in the hospitality and tourism industry, downsized during the recent global economic distress caused by COVID-19. This study applied a quantitative methodology by distributing online questionnaires to SME owners and managers who operate in the tourism industry of the UAE. We analysed the collected data using structural equation modelling. A total of 320 questionnaires were analysed using the PLS-SEM analytic tool. Our findings revealed that the investigated constructs, namely financial sustainability, SMEs’ innovativeness, and technology adoption predict the implementation of downsizing strategies during economic distress. However, financial sustainability failed to expedite SMEs’ innovativeness and technology adoption during this period. Therefore, the findings of this study show the impacts of financial strength, technology adoption, and innovativeness on implementing downsizing strategies, and provide suggested recommendations in light of the observed results.