Level Of Environmental Quality Research Articles

Infrastructure for sustainable energy access in Sub-Saharan Africa: Leveraging social factors and natural capital

This study investigates the impact of infrastructure development on energy poverty in 28 Sub-Saharan African (SSA) countries over the period 2010–2021. Utilizing the Africa Infrastructure Development Index (AIDI) as a comprehensive measure, the research examines both linear and nonlinear effects of infrastructure development on energy poverty reduction, while also exploring its influence on renewable energy production, underscoring its contribution to achieving sustainable development goals. The findings reveal that enhanced infrastructure significantly improves electricity access and alleviates energy poverty. The results further suggest that infrastructure development is only effective in alleviating energy poverty when a certain level of social development and environmental quality is achieved. Employing sensitivity analyses with alternative energy poverty indicators as well as physical infrastructure indicators confirms the stability of these results. This study underscores the importance of integrated infrastructure policies that consider social and environmental factors to effectively address energy poverty and support sustainable development goals in SSA.

Nursing students' engagement in online learning.

Reliance on digital technology may have implications for our social and economic wellbeing, including factors such as health, environmental quality, social interaction, and educational levels. Although there may be concerns, it is important to acknowledge that digital technology also offers immediate, cost-effective and accessible solutions that are transforming various services. The COVID-19 pandemic, through the disruption of educational systems worldwide, has accelerated the transformation of higher education, leading to changes in the way it is perceived. However, there is a lack of understanding regarding the relationship between digital poverty, digital literacy, and students' online experiences. This article aims to explore the engagement of nursing students in online learning post COVID.

Evaluating Competitiveness of Container Shipping Operators in the Sustainability and Digitalization Era

This study aims to comprehensively analyze the operational status and international competitiveness of global container shipping enterprises in the era of sustainability and digitalization within the field of international container transportation. Utilizing the entropy method, this study quantitatively evaluates the direct operational strength of 14 leading container shipping enterprises while considering multiple factors including environmental protection, service quality, company scale, customer satisfaction, research and development level, and brand influence. The contributions of this study to the existing knowledge are primarily manifested in several aspects: firstly, by constructing a comprehensive evaluation framework, it offers a new perspective for assessing the international competitiveness of container shipping enterprises, facilitating a more comprehensive understanding of their strengths and weaknesses. Secondly, this study emphasizes the crucial roles of environmental protection and customer service in the competitiveness of shipping enterprises, providing new strategic directions for the industry’s sustainable development and digital transformation. Lastly, through detailed analysis of the operational performance of different companies, this study provides specific improvement suggestions for shipping enterprises, aiding them in achieving more precise management and more efficient development. The research findings demonstrate that companies exhibit varied performance in different aspects, showcasing their respective strengths and challenges. Particularly, this study identifies leading enterprises that have made significant progress in environmental technology innovation and customer service, while also highlighting deficiencies in some companies regarding scale expansion and brand building. These findings not only offer valuable insights for the development of the shipping industry but also serve as a window for policymakers, investors, and consumers to gain a deeper understanding of the shipping market. Through the thorough analysis conducted in this study, we aim to contribute to the sustainable development and digital transformation of the global container shipping industry.

Fog and haze control and enterprise green total factor productivity - evidence from China

Advancing fog and haze control and improving environmental quality levels reflect the Chinese government's institutional efforts to establish a green economic system. This paper examines the relationship between fog and haze control and enterprise green total factor productivity. The results show that fog and haze control can promote enterprises to improve green total factor productivity, and this effect is more pronounced in state-owned enterprises and enterprises in the central region. The government should advance environmental governance policies, induce enterprises to innovate in related green technologies, and achieve a win-win for both the environment and economic development.

Can tourism growth drive environmental improvements in the Eurozone economic space: A panel data analysis

Tourism extensively exploits natural resources and uses ecosystem services to expand its potential and increase market share. The present study investigates potential tourism's effects and causalities on the environmental quality levels in the context of the tourism-induced Environmental Kuznets Curve hypothesis (T-EKC). We conceptualize tourism as a function of its contribution to a country's Gross Domestic Product (GDP), whereas we consider capital investment spending directly connected with the travel and tourism sector as an additional determinant of environmental quality. We contextualize environmental degradation as a means of greenhouse gas emissions (GHGs), methane, and nitrous oxide emissions. Furthermore, our models include primary and energy consumption patterns to emphasize energy efficiency in limiting environmental degradation levels. This study's approach also discusses the role of renewables as an explanatory variable. This set of variables remains less visible in the relevant literature, whereas it extensively covers the T-EKC hypothesis concept. We process panel data analyses for the Eurozone member states from 1996 to 2019. Research findings confirm the inverted U-shaped curve for all models regarding tourism's contribution to GDP. Moreover, capital investment spending does not Granger cause air pollution. Additionally, the percentage of renewables should be increased from a long-term perspective since they decrease environmental degradation. Practical implications call for enhancing sustainable growth in the tourism system in light of energy efficiency issues and eco-friendly investments.

A methodological approach to identify priority zones for monitoring and assessment of wild bee species under climate change

Climate change is affecting wild populations worldwide, and assessing the impacts on these populations is essential for effective conservation planning. The integration of advanced analytical techniques holds promise in furnishing detailed, spatially explicit information on climate change impacts on wild populations, providing fine-grained metrics on current environmental quality levels and trends of changes induced by estimated climate change scenarios. Here, we propose a framework that integrates three advanced approaches aiming to designate the most representative zones for long-term monitoring, considering different scenarios of climate change: Species Distribution Modeling (SDM), Geospatial Principal Component Analysis (GPCA) and Generalized Procrustes Analysis (GPA). We tested our framework with a climatically sensible Neotropical stingless bee species as study case, Melipona (Melikerria) fasciculata Smith, 1854. We used the SDM to determine the climatically persistent suitable areas for species, i.e. areas where the climate is suitable for species today and in all future scenarios considered. By using a GPCA as a zoning approach, we sliced the persistent suitable area into belts based on the variability of extremes and averages of meaningful climate variables. Subsequently, we measured, analyzed, and described the climatic variability and trends (toward future changes) in each belt by applying GPA approach. Our results showed that the framework adds significant analytical advantages for priority area selection for population monitoring. Most importantly, it allows a robust discrimination of areas where climate change will exert greater-to-lower impacts on the species. We showed that our results provide superior geospatial design, qualification, and quantification of climate change effects than currently used SDM-only approaches. These improvements increase assertiveness and precision in determining priority areas, reflecting in better decision-making for conservation and restoration.

Analysis of the impact of energy consumption data visualization using augmented reality on energy consumption and indoor environment quality

This study proposes augmented reality (AR) as one of the methods to effectively reduce energy consumption in smart homes while maintaining an acceptable level of indoor environmental quality (IEQ). The experiment was conducted for a total of 90 min in an environment chamber where IEQ could be controlled, and participants were able to adjust the IEQ as desired throughout the duration of the experiment. Targeting a total of 21 participants, data on energy consumption, IEQ, and psychological response were collected under two conditions: (i) without providing energy consumption data through AR software, and (ii) with providing energy consumption data. The results show that AR software can positively impact energy consumption reduction. Also, reducing energy consumption through AR software did not significantly affect the psychological response to the subjects’ IEQ, suggesting that AR software can be used as an effective tool for reducing energy consumption without compromising occupant comfort concerning IEQ. In other words, when occupants are satisfied with indoor environments and are aware of their energy consumption, it means that energy consumption can be reduced for economic benefits. The results of this study suggest potential economic and social benefits from reducing building energy consumption.

Structural Racism as a Contributor to Lung Cancer Incidence and Mortality Rates Among Black Populations in the United States.

Although racial disparities in lung cancer incidence and mortality have diminished in recent years, lung cancer remains the second most diagnosed cancer among US Black populations. Many factors contributing to disparities in lung cancer are rooted in structural racism. To quantify this relationship, we examined associations between a multidimensional measure of county-level structural racism and county lung cancer incidence and mortality rates among Black populations, while accounting for county levels of environmental quality. We merged 2016-2020 data from the United States Cancer Statistics Data Visualization Tool, a pre-existing county-level structural racism index, the Environmental Protection Agency's 2006-2010 Environmental Quality Index (EQI), 2023 County Health Rankings, and the 2021 United States Census American Community Survey. We conducted multivariable linear regressions to examine associations between county-level structural racism and county-level lung cancer incidence and mortality rates. Among Black males and females, each standard deviation increase in county-level structural racism score was associated with an increase in county-level lung cancer incidence of 6.4 (95% CI: 4.4, 8.5) cases per 100,000 and an increase of 3.3 (95% CI: 2.0, 4.6) lung cancer deaths per 100,000. When examining these associations stratified by sex, larger associations between structural racism and lung cancer rates were observed among Black male populations than among Black females. Structural racism contributes to both the number of new lung cancer cases and the number of deaths caused by lung cancer among Black populations. Those aiming to reduce lung cancer cases and deaths should consider addressing racism as a root-cause.

Quality of Life and Wellbeing Parameters of Academic Dental and Nursing Personnel vs. Quality of Services.

Quality of life (QOL) is based on one's perception of one's position in life with respect to one's goals, expectations, standards, and concerns. It is also influenced by one's culture and value system, workflow, and workplace situation; in turn, QOL influences the quality of service one is able to provide. In this study, we aim to report on dental and nursing academics' QOL and wellbeing at the end of the third year of the COVID-19 pandemic. There are several studies on the impact of the COVID-19 pandemic on health professionals (nurses and dentists), but it is important to investigate their quality of life three years later; furthermore, knowledge about academic staff is very limited. The World Health Organization Quality of Life-BREF Scale (WHOQOL-BREF) tool, recording the physical, psychological, social, and environmental dimensions of QOL, was used. The WHOQOL-BREF was modified using a spiritual coaching/mentoring approach in a two-step design and validation procedure. The modified SHQOL-BREF (Spiritual Healthcare version) designed for this study was uploaded and filled in online during April-June 2023. The staff (N = 120, 75% female) of the Departments of Dentistry (44.2%) and Nursing (55.8%) of the National and Kapodistrian University of Athens participated anonymously. QOL in terms of physical health was reported at a higher level (M = 72.2 points) compared to social relationships (M = 69 points), psychological health (M = 65 points), and environment (M = 59 points) (scores reported on a 0-100 scale). Overall, QOL was rated at 66 points, while satisfaction with one's health was at 72 points. Job satisfaction (M1 = 3.2) and spirituality (M2 = 3.0) were reported at a medium level on a five-point scale, while personal beliefs and values were reported at a high level (M3 = 4.0). The four areas of QOL are associated with job satisfaction, personal beliefs, and spirituality. Participant age presented a significant moderate-strong effect on physical health (F (3.97) = 2.89, p < 0.05, η2p = 0.08) and on the environment (F (3.97) = 2.80, p < 0.05, η2p = 0.08), and marital status had a significant effect on social relationships (F (1.97) = 9.66, p < 0.05, η2p = 0.09). Married participants reported consistently higher levels of QOL compared to single participants, for all age groups. The department had a significant moderate effect on social relationships (F (1.97) = 5.10, p < 0.05, η2p = 0.05), and education had a significant moderate-strong effect on psychological health (F (2.97) = 3.74, p < 0.05, η2p = 0.07). PhD-level participants in both departments presented higher levels of psychological health compared to those with lower educational levels. Also, participants from the Department of Dentistry reported higher levels of social relationship QOL in all educational groups compared to the Department of Nursing. Overall, according to our findings, PhD participants generally had better psychological health. Those under 40 years of age had higher levels of physical health and environmental quality of life, while married participants and those from the Department of Dentistry had higher levels of social interactions than those from the Department of Nursing. Strategic planning on sustainability and QOL initiatives should be introduced after the COVID-19 pandemic for dental and nursing academic personnel to promote resilience and QOL scores. Enhancing the QOL of academic staff is essential for developing health promotion activities at universities and can help boost performance among staff and students.

Ecological restoration evaluation of afforestation in Gudao Oilfield based on multi-source remote sensing data

The growing petroleum industry poses significant ecological challenges, prompting an increased focus on ecological restoration projects in onshore oilfields. Current efforts focus on revegetation in deforested oilfields, while research remains limited on alternative ecological restoration strategies aimed at establishing new ecosystems in oilfields. This study employed multi-source remote sensing data from 1985 to 2022 to calculate a remote sensing-based ecological index (RSEI) and constructed an integrated forest health index (IFHI), in order to evaluate the ecological restoration effects in the Gudao shelterbelt of Shengli Oilfield in the Yellow River Delta, and investigated the impact of oil extraction by considering forest phenology. The RSEI of the shelterbelt showed an upward trend and reached a Good level of ecological environment quality from 1990 to 2003, but it declined after that, indicating the potential of RSEI to quickly assess ecological restoration effects and guide management at different stages. Comparing the restoration effects of different tree species, a Robinia pseudoacacia L. (RP) and Fraxinus velutina Torr. (FV) mixed forest demonstrated the greatest capacity to improve environmental quality, with the most years (25 years) of the Good and Excellent levels and the highest IFHI value (1.52). In contrast, Ulmus pumila L. (UP) and Sophora japonica L. (SJ) were unsuitable for mixed planting for ecological restoration. The study also found that monospecific RP forests within 30 m of oil wells were significantly impacted by oil extraction (P ≤ 0.05), necessitating tailored forest management. The research aims to serve as a reference for ecological restoration in global onshore oil production areas, particularly in delta regions and sparsely vegetated areas.

The Role of the Energy Use in Buildings in Front of Climate Change: Reviewing a System’s Challenging Future

Energy keeps the global economy alive, while also being extensively exposed to various climate change impacts. In this context, severe business competition (e.g., the building sector) and the unwise use of natural resources and ecosystem services (e.g., fossil fuel energy sources) seem to sharpen the relevant effects of climate change. Indicatively, contemporary issues at the interface of building energy performance and environmental quality levels include consequences from global warming, the increasing release of carbon dioxide to peak electrical loads, power grids, and building planning, and energy demand and supply issues. In light of such concerns, the present review paper attempts to disclose the multifaceted and multidisciplinary character of building energy use at the interface of the economy, the environment, and society against climate change. This review highlights energy efficiency concepts, production, distribution, consumption patterns, and relevant technological improvements. Interestingly, the reviewed contributions in the relevant literature reveal the need and necessity to alter the energy mix and relevant energy use issues. These include developments in climate-proof and effective systems regarding climate change impacts and shocks. Practical implications indicate that the sustainable development goals for clean energy and climate action should be followed if we wish to bring a sustainable future closer and faster to our reality.

Air pollution and willingness to pay for health risk reductions in Egypt: A contingent valuation survey of Greater Cairo and Alexandria households

Egypt ranks first worldwide for the number of deaths attributable to PM2.5 air pollution, yet the economic value of improved air quality and the value of reducing mortality risk due to industrial air pollution has never been evaluated using primary data for Egypt. In this paper, we fill this gap focusing on the Greater Cairo and Alexandria metropolitan areas, where more than 80 percent of the country’s industrial activities take place. We find that 73% of the 1051 surveyed households are supportive of improved air quality strategy and a reduction by 50 percent from current level of pollution is valued between 212 and 302 LE per month (13.5–19.3US$). The health risk reduction is measured with Value of Statistical Life (VSL) measures that range between 3.81 and 7.0 million LE (242,675–446,000US$). The results confirm that residents are sensitive to environmental air quality levels. Furthermore, when provided with information about the health consequences of pollution, survey respondents increased both their level of support for the policy, and their Willingness to Pay for it.

Mapping of Ecological Environment Based on Google Earth Engine Cloud Computing Platform and Landsat Long-Term Data: A Case Study of the Zhoushan Archipelago

In recent years, with the rapid advancement of China’s urbanization, the contradiction between urban development and the ecological environment has become increasingly prominent, and the urban ecological system now faces severe challenges. In this study, we proposed an ecological index-based approach to monitor and evaluate the ecological environment using a Google Earth Engine cloud-based platform and Landsat time series. Firstly, a long-term series of Landsat images was obtained to construct and calculate the remote sensing-based ecological index (RSEI). Then, the Theil–Sen median estimation and the Mann–Kendall test were used to evaluate the trend and significance of the RSEI time series and combined with the Hurst index to predict the future development trend of the ecological environment in the study area. Finally, the coefficient of variation method was used to determine the temporal stability of the ecological environment. Taking Zhoushan Archipelago, China, as the study area, we mapped the distribution of the ecological environment using a spatial resolution of 30 m and evaluated the ecological environment from 1985 to 2020. The results show that (1) from 1985 to 2020, the average RSEI in the Zhoushan Archipelago decreased from 0.7719 to 0.5817, increasing at a rate of −24.64%. (2) The changes in the areas of each level of ecological environmental quality show that the ecological environment in the Zhoushan Archipelago generally exhibited a decreasing trend. During the study period, the proportion of the areas with excellent ecological environmental quality decreased by 38.83%, while the proportion of areas with poor and relatively poor ecological environmental quality increased by 20.03%. (3) Based on the overall change trend, the degradation in the ecological environment in the Zhoushan Archipelago was greater than the improvement, with the degradation area accounting for 84.35% of the total area, the improvement area accounting for 12.61% of the total area, and the stable area accounting for 3.05% of the total area. (4) From the perspective of the sustainability of the changes, in 86.61% of the study area, the RSEI exhibited positive sustainability, indicating that the sustainability of the RSEI was relatively strong. (5) The coefficient of variation in the RSEI was concentrated in the range of 0–0.40, having an average value of 0.1627 and a standard deviation of 0.1467, indicating that the RSEI values in the Zhoushan Archipelago during the study period were concentrated, the interannual fluctuations of the data were small, and the time series was relatively stable. The results of this study provide theoretical methods and a decision-making basis for the dynamic monitoring and regional governance of the ecological environment in island areas.

Spatio-temporal variability of the earth’s surface temperature and the changes in land user/land cover: implications for sustainable tourism development

ABSTRACT Tourism both contributes to environmental change and is, in turn, affected by such change. One area that is of considerable significance is tourism’s contribution to land use change and its subsequent impacts. Land use change, such as tourism urbanization, together with global heating leads to an increase in surface temperature and deterioration in environmental quality and human comfort levels. Understanding the implications of tourism-related land use change is therefore of considerable importance for climate adaptation. Using Landsat satellite images, the evolution of land users/covers and the temperature of the land surface between 1985 and 2020 were studied in Cyprus. The analysis of the data confirms that tourism development activities have influenced the increase in urban hotspots. This destination has experienced a 6.2°C increase in average temperature and 168.8% in the urban hotspot. Based on the findings the study highlights the implications for sustainable tourism development and potential means of mitigation.

Analisis Capaian Pembangunan Inklusif Hijau Pada Tingkat Kabupaten/Kota Di Jawa Timur dengan Balanced Inclussive Green Growth Index

Growth development is a multidimensional process that includes economic growth, the level of social welfare and environmental quality. This study aims to measure the achievement of balanced green economy inclusive growth at the district/city level in East Java in 2018 and 2021 using the concept of the Balance Inclusive Green Growth Index (BIGGI). Based on the results of the analysis conducted, it shows that the results of the BIGGI index in East Java are quite even. In general, the entire region of East Java has a high social dimension, except for districts on Madura Island. As for urban areas and industrial centers, BIGGI's achievements are influenced by the high value of the economic and social dimensions, but followed by the low value of the environmental dimension. The low value of the environmental dimension also affects the BIGGI pro forma imbalance in urban areas, where the BIGGI value is lower than the IGGI.

The synergistic roles of green openness and economic complexity in environmental sustainability of Europe's largest economy: Implications for technology-intensive and environmentally friendly products

The degrowth approach posits the idea that sustainable development and economic expansion are mutually exclusive. Conversely, it is believed that international trade within a complex economic system can help distribute green products to simultaneously ensure economic expansion and sustainable development. For this reason, the dynamic ARDL simulations technique was adopted to analyze the German economy's data from 2000 to 2020 toward determining the specific and interactive ecological implications of international green openness and economic complexity in Europe's largest economy. We discovered that green openness and economic complexity each have desirable impacts on ecofootprint, and their interaction further confirms a strong ecological-enhancing synergistic effect. The presence of the EKC phenomenon was also upheld from the analysis while clean energy exerts a positive impact on Germany's environmental quality level. The study further posits that a faster shift into the manufacture of technology-intensive and environmentally friendly products is possible for nations that invest in strengthening their internal technological skills to curb ecological harm. It is therefore advocated that even if the manufacturing of green items is not optimally done domestically, the special opportunities presented by international trade in the distribution of green products should always be leveraged to foster environmental sustainability.

Landscape Pattern Changes and Climate Response in Nagqu Hangcuo National Wetland Park in the Tibetan Plateau

Wetlands are vital ecosystems in the Tibetan Plateau that play a crucial role in water conservation, flood storage, and biodiversity maintenance. They are sensitive to climate change and typically have high ecological and environmental quality levels due to minimal human disturbance. This study aimed to quantify landscape pattern changes within the Nagqu Hangcuo National Wetland Park (NNWP) and identify the impact of climate on wetland change. Using remote sensing data from six periods (1990, 1995, 2000, 2005, 2010, and 2015), dynamic change analysis, landscape pattern analysis, and correlation analysis were employed to determine the evolutionary features of the wetland landscape and explore their relationship with climatic factors. The results showed that the total wetland area increased from 15.11 km2 in 1990 to 15.23 km2 in 2015. The meadow area increased the most among landscape types, primarily converted from swamps. Over 25 years, the fragmentation of the NNWP’s landscape increased while diversity decreased and its shape became more complex. Meadows were more sensitive to climatic factors than other landscape types, with correlation coefficients between wetland separation and sunshine duration being more significant than other climatic factors. Therefore, it is imperative to monitor landscape pattern changes and the effects of climate change to better protect wetland parks through long-term planning, suitable mechanisms, and advanced technology.

The environmental effects of undertaking industrial transfer in developing countries: a quasi-natural experimental evidence in China.

The construction of National Industrial Relocation Demonstration Zones (NIRDZ) is important for China's industrial transfer, but its environmental influence cannot be neglected. This study explores the environmental effects of industrial transfers by studying China's NIRDZ. By employing panel data of 284 cities in China between 2005 and 2019, we compare environmental quality changes over time in areas with and without demonstration zones based on the staggered difference-in-differences (DD) technique. The results demonstrate a 0.032 increase in the environmental quality level of industrial receivers after the implementation of demonstration zones. The effect of demonstration zones on environmental improvement is moderated by natural resources, capital accumulation, and technological innovation capabilities. This impact is more fully realized in cities with resource-based, low-capital accumulation, and high-tech innovation but is not statistically significant difference at various levels of human resources. The environmental improvement effect of the NIRDZ is powerful in central cities and small- and medium-sized cities instead of western regions and large-scale cities. Additionally, mediation analysis is adopted to assess the potential mechanism between the association of NIRDZ and the environment. The demonstration area negatively affects environmental quality through the economic scale effect while improving environmental quality through the technological innovation effect. We provide empirical evidence that the NIRDZ is positively correlated with the environment and identify the technology effect as one underlying driver of this correlation to help developing countries address its detrimental impacts.

Environment-growth nexus and corruption in the MENA region: Novel evidence based on method of moments quantile estimations

This study contributes to the environment-growth nexus literature by examining corruption's effect on environmental quality in 17 Middle East and North Africa (MENA) countries between 1984 and 2018. We use four different indicators of environmental degradation (ecological footprint, carbon dioxide emissions, greenhouse gas emissions, and carbon emission intensity) to gain a comprehensive view of the relationship. This study's methodological value added is the application of the method of moments quantile regression, which enables us to account for different relationships between the independent variables and environmental quality at different levels of environmental degradation. The results indicate that corruption worsens environmental quality based on three of the four indicators of environmental degradation, while the impact appears to become less severe at higher levels of environmental deterioration. The results also indicate that traditional mean-based panel data estimation methods provide an incomplete picture of the factors behind environmental problems: The explanatory variables' impacts tend to vary at different levels of environmental quality, and the impact's sign can even change when moving from the lowest to the highest environmental degradation quantiles. Overall, the results highlight the importance of curbing corruption to enable enforcement of more stringent environmental regulations.

Has pilot zones policy for green finance reform and innovations improved the level of green financial development and environmental quality?

This study uses the green finance reform and innovation pilot zone policy approved by the State Council in 2017 as a quasi-natural experiment to explore whether the implementation of the policy has improved the level of green finance development and environmental quality in Chinese cities at the prefecture level and above. The results show that the green financial reform and innovation pilot zone policy can significantly improve the level of regional green financial development and environmental quality, and the results are robust. Further heterogeneity analysis finds that the green financial reform and innovation pilot zone policy have heterogeneous effects on the level of green financial development and environmental quality in different regions, sizes, environmental regulation intensity, financial development levels, and cities of different administrative levels. Based on this conclusion, suggestions are made that the scope should be further expanded and green finance policies should be formulated differently.