The war in Afghanistan left significantly negative consequences in all spheres of its society, leading the country to the highest levels of poverty, hunger, and environmental damage. This study explores the long-run impact of civil wars on environmental degradation in Afghanistan using the conceptual framework of the Environmental Kuznets Curve and models augmented with pollutants, civil wars, comprehensive financial development index, and macroeconomic predictors on a set of data from the first quarter of 2002 to the first quarter of 2020. However, while the results confirm long-run relationships amid indicators by the autoregressive distributed lags bound test, the results of the vector error-correcting model to Granger causality reveal bidirectional causality links between CO2 emissions, per capita real GDP, civil wars, the financial development index, energy consumption, trade openness, and the inflation rate in the long-run, while the findings extend to confirm multidimensionality and interdependencies among predictors in the short-run. Moreover, the results indicate dual findings. First, it confirms that civil wars, the financial development index, per capita real gross domestic product, population growth, and the inflation rate significantly increase CO2 emissions, while the squared per capita real gross domestic product, energy consumption, and trade openness reduce CO2 emissions both in the short and long runs. Second, the results confirm an inverted U-shaped relationship, supporting the validity of the Environmental Kuznets Curve hypothesis in Afghanistan. Based on the findings, appropriate policy measures are recommended.

Financial inclusion is critical element of economic growth as it makes financial services available to all facets of society and hence has an influence on environmental quality. Using data from 2004 to 2019, this research evaluates the asymmetric nexus between financial inclusion and environmental quality in the top-10 polluted nations (China, India, Russia, USA, Japan, Iran, Germany, Saudi Arabia, South Korea, and Indonesia). Previous research used panel data approaches, which resulted in usual findings of the connection between financial inclusion and environmental quality, even with the reality that numerous nations did not show such a linkage individually. This research, conversely, utilizes an exclusive method \'Quantile-on-Quantile (QQ)\', which permits us to probe each nation distinctly to provide multilateral yet country-specific information about the relation between the variables. The estimations demonstrate that financial inclusion degrades environmental quality in 7 out of the 10 economies at many quantiles of data distribution. Additionally, the outcomes reveal that the degree of asymmetry between financial inclusion and carbon emissions differs by nation, stressing the need of governments giving particular attention while implementing policies related to financial inclusion and a sustainable environment.

Blue spaces, especially as important urban natural environments, provide various benefits. Despite the increasing number of relevant papers, most recent studies have focused on the association between blue space environmental quality and health, with limited research assessing the environmental quality and user preferences of urban blue spaces. This study establishes a relationship between preference and environmental quality by investigating visitors\' perception of the environmental quality of urban blue spaces (physical and aesthetic). For this purpose, 296 questionnaires were collected from three urban blue spaces and a multiple linear regression analysis was executed. Model results indicated that six of nine environmental quality components had a significant effect on preference scores, with \"harmony\" demonstrating the highest and \"visual spaciousness & diversity\" the lowest effect. The current study shown that two scales provided were used to measure users\' perceived levels of the physical and aesthetic quality of the Urban Blue Spaces were acceptable. These results can help in the effective use of these natural capitals in cities and provide guidance for the environmental design of blue spaces.

Understanding the extent to which demographic changes may affect the prospects of sustainable development is a priority for both academics and policy makers. Accordingly, we attempted to explore the population growth limit of the Xihaigu Mountain area in China. To analyze the optimum population at the county level, the relationship curve between population size and environmental quality was fitted using panel data (2009-2018). The sustainable population size of each county was determined by integrating the population carrying capacity of land resources and optimum population. The results show that the relationship between regional population size and environmental quality conforms to an inverted N-shaped curve. To maintain sustainable development, the population size of Tongxin, Xiji, and Haiyuan should be in the range of 320,800-379,800, 315,800-416,900, and 333,500-416,900, respectively. The current population size of other counties should be maintained, and their surplus construction lands are acceptable to be used for environmentally friendly industries rather than population expansion. We demonstrated a practical approach to calculate a dynamic range of population size under the dual constraints of resource and environment, which overcomes the shortcoming of only considering the maximum carrying capacity to a limited extent. We also identified the population boundary in a \"steady-state economy\" and quantified planetary boundaries of population in Xihaigu Mountain area using a dynamic sustainable population size. The findings provide decision-making references for the local government.

Health outcomes in sub-Saharan Africa are characteristically poor and Nigeria is no exception. Despite the recorded decline in infant and under five mortality rates in Nigeria, they still remain relatively high showing a poor status of the population\'s health. Carbon dioxide emission continues to fluctuate at high levels probably due to the increasing use of non renewable energy forms for economic activities mostly requiring energy consumption. This study examines the health consequences of environmental quality due to carbon dioxide emission in Nigeria for the period 1980 to 2016. Using two health outcome measures and decomposing carbon dioxide emission by sector and type of fuel consumed, a bound cointegration approach and an autoregressive distributed lag model were also employed. The results and a sensitivity analysis revealed that aggregate carbon dioxide emission significantly explained both infant mortality and under five mortality rates. However, when disaggregated, carbon dioxide emission from solid fuel had the greatest contribution to poor health outcomes.

Studies have indicated that urban greenways promote physical and perceived restoration. However, there is a lack of research on the impact of treetop trails on human perceived restoration. In this study, two representative treetop trails in Fuzhou city were selected to investigate treetop trails\' impact on users\' perceived restoration. The study adopted a structural equation modelling approach to explore the influence mechanisms and pathways of treetop trails on users\' perceived restoration, through 412 questionnaires. The results showed that the perceived environmental quality of treetop trails had a significant positive effect on users\' overall psychological wellbeing. Place attachment had a significant positive effect on users\' perceived restoration and a significant mediating effect on users\' perceived environmental quality of trails. The results of this study revealed that the mechanisms of the impact of treetop trails on users\' perceived restoration and the construction of treetop trails can be enhanced in the future by improving trail facilities, enriching trail perception of elevated feeling, improving trail landscape quality, and optimising trail design.

There is a strong association between environmental quality and economic activity. Empirical studies term this relationship as environmental Kuznets curve (EKC) using time series or panel data regression analysis, but their estimates are based on several assumptions. This study has explored the distribution oriented robust effect of disaggregated real GDP on environmental quality. These estimates are free of assumptions and provide the actual distribution of effects rather than a single value of the marginal effect. The data is collected for 189 countries between 1990 and 2018, and estimates are generated using panel quantile regression and quantile on quantile regression. The estimation results point towards the U-shaped industry EKC, inverted U-shaped service EKC, and linear agriculture EKC. The robust, practical, and realistic estimates of real economic activity and environment have paved way towards an in-depth analysis to sustain a better environmental quality.

The use of bryophytes as an indicator of environmental quality has been addressed on numerous occasions and in different places of the world under a variety of conditions. However, in Latin America their use is still limited. In the study described here, the presence and distribution of the bioaccumulation of lead in bryophytes has been evaluated in both contaminated and uncontaminated sites in Villavicencio (Colombia) and its surroundings. Villavicencio is a medium-sized city that is similar in size to many other cities in Latin America. A total of 52 samples of bryophytes were collected, of which 43 belong to points distributed in urban areas of the city (residential, commercial, highway), and the remaining nine are from uncontaminated areas (reference) taken in the surroundings of the city. The samples were treated with acid (nitric and hydrochloric) and subsequently measured by atomic absorption spectrometry. It was found that Pb concentrations in the commercial sector are between 1 and 6 times higher than in the residential and highway sectors. Spatial distribution maps of lead over the sampled territory were created using Arc-GIS 10.1. It is noteworthy that the values obtained are higher than those found in European cities.

This study focuses on four textile industries (DH-GEDA, NOYA, ALMHADI, and ALSAR) established between 2005 and 2008 in the peri-urban areas of Dukem and Gelan. The objectives of the study were to generate baseline information regarding the concentration levels of selected pollutants and to analyze their effects on biophysical environments. This study also attempts to explore the level of exposure that humans and livestock have to polluted effluents and the effects thereof. The findings of this study are based on data empirically collected from two sources: laboratory analysis of sample effluents from the four selected textile plants and quantitative as well as qualitative socioeconomic data collection. As part of the latter, a household survey and focus group discussions (FGDs) with elderly and other focal persons were employed in the towns of Dukem and Gelan. The results of the study show that large concentrations of biological oxygen demand (BOD5), chemical oxygen demand (COD), total suspended solids (TSS), and pH were found in all the observed textile industries, at levels beyond the permissible discharge limit set by the national Environmental Protection Authority (EPA). Furthermore, sulfide (S2), R-phosphate (R-PO43), and Zn were found in large concentrations in DH-GEDA and ALMHADI, while high concentrations were also identified in samples taken from ALSAR and ALMHADI. In spite of the clear-cut legal tools, this study shows that the local environment, people, and their livestock are exposed to highly contaminated effluents. We therefore recommend that the respective federal and regional government bodies should reexamine the compliance to and actual implementation of the existing legal procedures and regulations and respond appropriately.