How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh

Environment, Development and Sustainability - The paper aims to identify the factors that cause prospective tourists’ hesitation to travel. The study also examines whether this relationship...     

Do environmental management systems improve environmental performance? Empirical evidence from Italian companies

This paper reports the results of a research carried out on environmental performance in companies with an environmental management system registered under the EMAS regulation. By applying an empirical approach, the article analyses the trend of the environmental performance of a sample of 64 Italian companies pertaining to 6 different industrial sectors, which have achieved EMAS registration for at least three years. The trends of the environmental indicators included in the environmental statements, officially validated by a third party and traceable to a period of time before and after the registration, were collected and evaluated. In particular, the influence of the EMAS registration on the improvement or the worsening of the environmental performance was analyzed and thus the ability of this instrument to pursue continuous improvement, a founding principle of environmental management certification schemes. Data obtained indicate that in some cases, EMAS leads to an actual improvement of environmental performance, even in the short period.     

Does haze pollution affect public health in China from the perspective of environmental efficiency?

Environment, Development and Sustainability - This study attempts to introduce haze pollution into the environmental efficiency evaluation framework and measures PM2.5 environmental efficiency in...     

Land use change and soil carbon sequestration in China: Where does it pay to conserve?

Regional Environmental Change - This paper estimates the impact of land use change on soil organic carbon (SOC) sequestration in China from 1985 to 2005 using a nationwide, georeferenced database...     

Positive or negative externalities? Exploring the spatial spillover and industrial agglomeration threshold effects of environmental regulation on haze pollution in China

Environment, Development and Sustainability - As one of the efficacious environmental governance instruments, environmental regulations usually have been adopted to control haze pollution in most...     

CO2 emission driving forces and corresponding mitigation strategies under low-carbon economy mode: evidence from China’s Beijing–Tianjin–Hebei region

On account of the background of China’s “new normal” characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing–Tianjin–Hebei region and empirically investigates the relationship between carbon dioxide (CO₂) emissions and its various factors for China’s Beijing–Tianjin–Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO₂ emissions. However, technological progress, especially the domestic independent research and development, plays a key role in CO₂ emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby, our findings provide important implications for policymakers in air pollution control and CO₂ emissions reduction for this region.     

A new multimedia contaminant fate model for China: How important are environmental parameters in influencing chemical persistence and long-range transport potential?

We present a new multimedia chemical fate model (SESAMe) which was developed to assess chemical fate and behaviour across China. We apply the model to quantify the influence of environmental parameters on chemical overall persistence (P_OV) and long-range transport potential (LRTP) in China, which has extreme diversity in environmental conditions. Sobol sensitivity analysis was used to identify the relative importance of input parameters. Physicochemical properties were identified as more influential than environmental parameters on model output. Interactive effects of environmental parameters on P_OV and LRTP occur mainly in combination with chemical properties. Hypothetical chemicals and emission data were used to model P_OV and LRTP for neutral and acidic chemicals with different K_OW/D_OW, vapour pressure and pK_a under different precipitation, wind speed, temperature and soil organic carbon contents (f_OC). Generally for P_OV, precipitation was more influential than the other environmental parameters, whilst temperature and wind speed did not contribute significantly to P_OV variation; for LRTP, wind speed was more influential than the other environmental parameters, whilst the effects of other environmental parameters relied on specific chemical properties. f_OC had a slight effect on P_OV and LRTP, and higher f_OC always increased P_OV and decreased LRTP. Example case studies were performed on real test chemicals using SESAMe to explore the spatial variability of model output and how environmental properties affect P_OV and LRTP. Dibenzofuran released to multiple media had higher P_OV in northwest of Xinjiang, part of Gansu, northeast of Inner Mongolia, Heilongjiang and Jilin. Benzo[a]pyrene released to the air had higher LRTP in south Xinjiang and west Inner Mongolia, whilst acenaphthene had higher LRTP in Tibet and west Inner Mongolia. TCS released into water had higher LRTP in Yellow River and Yangtze River catchments. The initial case studies demonstrated that SESAMe performed well on comparing P_OV and LRTP of chemicals in different regions across China in order to potentially identify the most sensitive regions. This model should not only be used to estimate P_OV and LRTP for screening and risk assessments of chemicals, but could potentially be used to help design chemical monitoring programmes across China in the future.