In this paper, we examine the direction of causal relationships among migration-related fear, economic policy uncertainty, tourism, and economic growth in the panel economies of France, Germany, the UK, and the USA. To the best of our knowledge, this study is the first to examine the interaction and interrelationship between these variables in a multivariate causality study, using a quarterly data over the period 1985Q1–2017Q4 via time-series causality approach as advanced by Emirmahmutoglu and Kose (Econ Model 28:870–876, 2011) that produces country-specific causality statistic and also captures slope heterogeneity in panel data. Empirical results show that migration-related fear is linked with EPU, tourism arrivals, and real income. Thus, we suggest fear-induced economic policy uncertainty, fear-induced tourism, and economic policy uncertainty–induced growth hypotheses with credible policy suggestions for tourist destinations.

The land use changes and farmers’ unreasonable land use behaviors continue to threaten China’s agricultural land, exacerbating the impact of pollution. The factors that persuade farm households to perform pro-environmental actions are preliminary efforts to strengthen environmental protection. The current study aims to better understand how the dual interest preferences of rural households are interrelated and influence their environmental behavior. A structured questionnaire was employed to collect the primary data from 4 provinces in China to develop new methods to measure the dual interest preferences of farmers and to study their impact on pro-environmental behaviors. The structural equation model (SEM) in Stata14 was used to analyze the relationship between latent and observed variables and to understand their impact on farmers’ environmental behavior. The results showed that all the observed variables have the expected signs and have a significant relationship with their latent variables. With the coefficients of 0.76, 0.88, and 0.64, the underlying variables related to the households’ dual interest preferences are statistically significantly correlated. The coefficient 0.34 of the latent variable ensures a direct and significant impact on farm households’ pro-environmental behavior, suggesting that non-uniformity preferences or conflicts exist between the short- and long-term economic interests. Similarly, a positive and significant coefficient of 0.28 suggests the non-uniformity of preferences in short-term economic and social interests. All the fitness indices ensured that our model fits well. To improve the environment and land quality, the current research has policy implications for the adoption of environment-friendly pesticide and organic fertilizers.

Currently, there is an overexploitation of natural resources worldwide due to the need to build various types of civil engineering infrastructure, such as buildings, bridges, housing and, in particular, roads. A large number of countries, including Mexico, additionally do not apply adequate treatment to the material resulting from the demolition of this type of work. Both situations generate significant environmental damage and contribute to the non-sustainability of the road construction sector. This research assesses the linear viscoelastic (LVE²) behavior of asphalt concrete specimens made with different combinations of mineral aggregate and construction and demolition waste (CDW). Complex dynamic modulus tests were performed in compression on cylindrical samples at different temperatures and frequency loading. The ANOVA analysis of test results indicate that the stiffness of the different asphalt concretes evaluated, represented by the complex dynamic modulus, tends to decrease with the temperature and increase with load frequency, which are typical of materials with viscous characteristics. The stiffness of the asphalt concrete evaluated does not show significant changes as the CDW aggregate content varies.

The occurrence and spatial distribution of 22 congener phthalate esters (PAEs) in the Lanzhou section of the Yellow River were investigated using water and sediment samples collected from 12 stations along the river in August 2016 to March 2017. PAEs were determined by liquid–liquid extraction and gas chromatography–mass spectrometry. The average concentrations of PAE in the water samples during the dry and wet periods were 3236.0 ng/L and 2300.0 ng/L, and the average dry and wet periods of the PAEs in the sediments were 4238.9 ng/g and 3959.9 ng/g, respectively. PAEs were detected in all sampling sites. The six PAEs controlled by the United States Environmental Protection Agency (U.S. EPA), namely dimethyl phthalate (DMP), diethyl phthalate (DEP), dibutyl phthalate (DBP), di-2-ethylhexyl phthalate (DEHP), di-n-octyl phthalate (DNOP), and butyl benzyl phthalate(BBP), were detected. DMP, DEP, DBP, and DEHP accounted for more than 70% of all PAEs. In view of time distribution, PAEs concentration in the water samples of the dry season were greater than those of the wet season, but the sediments did not differ remarkably across the different periods. As for spatial distribution, the PAEs initially exhibited low concentrations in the upper reaches, high concentrations in the middle part, and low concentrations in the downstream; a health risk assessment of the six PAEs controlled by the U.S. EPA was carried out according to priority. Results showed that the carcinogenic risk value was less than 10⁻⁶, and the values of the non-carcinogenic compound risk index were less than 1, indicating the absence of carcinogenic damage to organisms or humans.

This study proposes a comparison of different ex situ technologies aimed at the removal of polycyclic aromatic hydrocarbons from marine sediments in terms of performances, costs and energy balance. In accordance with the principles of water-energy nexus, anaerobic bioremediation, soil washing and thermal desorption were investigated under low liquid phase and temperature conditions using phenanthrene (PHE) as model compound. After 42 days of anaerobic bioremediation, the highest PHE biodegradation of 68 and 64% was observed under denitrifying and methanogenic conditions, respectively, accompanied by N₂ and CH₄ production and volatile fatty acid accumulation. During soil washing, more than 97% of PHE was removed after 60 min using a solid-to-liquid ratio of 1:3. Along the same treatment time, low-temperature thermal desorption (LTTD) allowed a PHE removal of 88% at 200 °C. The economic analysis indicated that LTTD resulted in a higher cost (i.e. 1782 € m⁻³) than bioremediation and soil washing (228 and 371 € m⁻³, respectively). The energy balance also suggested that bioremediation and soil washing are more sustainable technologies as a lower required energy (i.e. 16 and 14 kWh m⁻³, respectively) than LTTD (i.e. 417 kWh m⁻³) is needed.

One of the biggest problems of modern world is the air pollution which causes the death of millions of people every year. The heavy metals included in the component of air pollution occupy an important position in human health since they could remain intact in nature for a long time and build bioaccumulation, and also some of them are toxic or carcinogenic even at some low concentrations. Even the heavy metals functioning as micronutrient element could create toxic effect for human beings at the high concentrations. For this reason, the determination of the heavy metal concentration has an important role in terms of the detection of risky regions and risky level. One of the primary sources of heavy metals is industrial plants where the heavy metal ores are processed. Those regions might have risks at high level in terms of particular heavy metals. Consequently, it is significant to find out in which level they influence the area around these plants and to what extent the heavy metal pollution is effective. In this study, Ba, Zn, Cd, K, and Na concentrations are determined by analyzing the samples which are taken from 1- and 2-year-old needles of Scots pines (Pinus sylvestris L.) growing in 1 km, 3 km, 10 km and 25 km distances around a processing and mining of magnesite ore in Russia. In the end of the study, it is concluded that generally, the concentrations of heavy metals subject to the study are increasing depending upon the distance, and this increase is quite apparent in some elements, and finally in many points, the concentrations determined in 2-year-old needles have higher levels than 1-year-old needles.

The development of human activities along the Atlantic coast is responsible for the chronic pollution of the environment with organic and inorganic contaminants. In recent years, environmental regulations such as the MSFD (2008/56/EC) and the OSPAR commission have been developed to preserve coastal environments, giving rise to studies in aquatic biomonitoring. One of them is to use biomarkers to observe the pollutants impact on coastal species such as the bivalve Mimachlamys varia. A defence biomarker was considered in this research to study metal accumulation, with metallothioneins (Mts) involved in the uptake, storage and excretion of metals. To achieve this, bivalves were collected in March 2016 in seven sites along the French Atlantic coasts (open area) and in harbours (semi-open area) with contrasting levels of pollution. Biomarker assays were performed to compare the responses in several tissues (digestive glands, gonads, gills) to inorganic pollutants. The results showed that the accumulation of trace element was different depending on the site and the organ. Mts concentrations were greater in digestive gland compared with gills. Usually, Mts levels were decreased in site showing elevated levels of trace element which explained by downregulation of Mts. Furthermore, results of correlation between Mts and inorganic contaminants and the influence of abiotic factors on Mts suggested that Mts in M. varia is not a relevant biomarker in environments exposed to cocktails of contaminants.

Imazalil (IMZ), a fungicide containing imidazole group, is extensively used for the prevention and treatment of fungal diseases in plants. Current study was performed to examine cyto-genotoxic potential of IMZ on Allium cepa roots by following Allium ana-telophase and single cell gel electrophoresis (comet) assays. The concentration which reduced the growth of the root tips of IMZ by 50% compared to the negative control group (EC₅₀) was found to be 1 μg/mL by Allium root growth inhibition test. 0.5, 1, and 2 μg/mL concentrations of IMZ were exposed to Allium roots for intervals of 24, 48, 72, and 96 h. 10 μg/mL of methyl methane sulfonate (MMS) and distilled water were used as control groups, both positive and negative. Statistical analysis was performed by using one-way ANOVA with Duncan’s multiple comparison tests at p ≤ 0.05 and Pearson correlation test at p = 0.01. IMZ showed cytotoxic effect by statistically decreasing root growth and mitotic index (MI) and also genotoxic effect by statistically increasing chromosomal aberrations (CAs) and DNA damage compared to the negative control group. With these cyto-genotoxic effects, it should be used carefully and further cyto-genotoxic mechanisms should be investigated along with other toxicity tests.

The study seeks to examine the policy scheme of Asian countries and their efforts to achieve sustainable environmental practices in terms of green growth, green financing, and CO2emission reduction programs. This study investigates the role of GDP growth, sources of energy consumption, and other plausible hypothetical factors in CO₂ emissions using evidence from selected Asian countries over the period of 1980–2015. The contribution of this research is unique, with the use of these plausible variables under the framework of EKC, which makes this study different from other studies and helps fill a gap in the literature. This study has used panel Fully Modified OLS (FMOLS) test, the panel Granger causality test namely the Dumitrescu-Hurlin test (2012) and the Innovative Accounting Approach. The results of FMOLS for the full panel set indicates the presence of an EKC hypothesis, where the impact of GDP growth and the square of GDP growth on CO2 emissions are positive and negative, respectively, in the context of 10 Asian economies. The findings of FMOLS for lower income economies do not support the EKC hypothesis; however, the results exhibit that high and upper middle income economies maintain the EKC hypothesis. The results of high income and upper middle income economies confirm the existence of the environment Kuznets curve, and the results of GDPᵢₜ show that both significantly positively impact logGDPᵢₜon CO2 emission.

This paper empirically investigates the impact of overall sustainability reporting as well as its components (economic, environmental, and social sustainability reporting) on the cost of debt and equity capital for Malaysian oil and gas companies. The data was collected from 41 publicly listed oil and gas companies in Malaysia for the period from 2008 to 2017. Qualitative information was gathered for sustainability reporting and then converted into quantitative form by assigning weights according to the extent of reporting. The cost of capital information was sourced through Thomson Reuters Datastream. Panel data analysis was employed using generalized least square (GLS) random effects regression to examine the relationship between sustainability reporting and cost of capital. Firm reputation, size, and profitability were included as control variables. The findings indicate that overall sustainability reporting and one component, economic sustainability reporting, reduce both cost of debt and cost of equity. However, environmental sustainability reporting reduces only the cost of debt but does not reduce the cost of equity. Social sustainability reporting shows no effect on the cost of debt or equity. The findings of this paper should be useful for regulators, legislators, shareholders, creditors, and practitioners in pursuing sustainability practices that not only improve economic and environmental performance but also enhance overall performance by reducing the cost of capital. The results of the paper highlight that companies investing in sustainability can generate positive value through the enhancement of reputational capital. This study is the first to empirically investigate the relationship between overall sustainability reporting, including its three components, and the cost of both debt and equity capital.