Organic fraction municipal solid waste (OFMSW) has a high potential for energy and value-added product recovery due to its carbon- and nutrient-rich composition; however, traditional value chains have treated OFMSW as an undesired by-product. This study focuses on value chain optimisation to assist the transition to resource recovery value chains. To achieve this, this work combined two stage stochastic mathematical optimisation with geographical spatial analysis and time series waste generation analysis. Existing infrastructure in England, including anaerobic digestion plants and road transportation networks, were included in the model. To account for uncertainty in waste generation, multiple scenarios and their associated probabilities were developed based on environmental variables. The optimisation problem was solved to further advance the understanding of economically optimal waste-to-resource value chains under waste generation variability. The pertinent decision variables included sizing, technology selection, waste flows and location of thermochemical treatment sites. The model highlights the potential reduction in system profitability as a result of different operating constraints, such as minimum plant operating capacity factors and landfill taxation. The latter was shown to have the largest impact on profitability as overconservative systems designs were implemented to hedge against the waste variability. Such computer-aided models offer opportunities to overcome the challenges posed by waste generation variability and waste to resource value chain transformation.

The Karnaphuli River is one of the prime and most important streams in the southeastern part of Bangladesh. The favorable water current and the geographic location have rendered the Karnaphuly River estuary a suitable habitat and a breeding ground for diverse fish species. Reversely, this estuary has been polluted by discharges from many point and non-point sources due to its location in the catchment area of a heavily industrialized area, Chattagram port city. However, published research concerning the status of toxic and trace elements in some commercially important benthic and pelagic coastal fish species in Karnaphuli River estuary was not found in the existing literature. Therefore, it's an important field of study on the assessment of toxic and trace elements concentration in the commercially important benthic and pelagic coastal fish species and their health taxation in the Karnaphuli River Estuary. Energy dispersive X-ray fluorescence (ED-XRF) was used to quantify trace metal concentration in edible parts of the fish species. This study revealed that the rank of the trace metals concentration was as follows (mg/kg): Zn (37.1) > Mn (16.12) > V (11.16) > Cu (9.49) > Rb (5.62) > Pb (2.98) > Cr (1.59) > Co (1.17). The F-test showed that a significant difference at 95 % confidence level in the distribution pattern of trace metals concentration among the examined fish species in the study area. The metal pollution index (MPI) in the muscle of fishes were found to be in the following order: L. bata > P. monodon > T. cirratus > M. bleekeri > O. pabda > H. nehereus > L. calcarifer > P. argenteus > P. paradiseus > T. toli, and the MPIs for most of the benthic fish species were higher compared to the pelagic fishes. On the other hand, the examined fish species were significantly bio-accumulative with the highest bio-accumulation factor value for benthic species. The multivariate analysis identified that the sources of the trace metals were associated with anthropogenic activities. For the human health risk assessment concern, estimated daily intake, target hazard quotient and cancer-causing risk were estimated. The results for non-cancer hazardous index values were found to be lower than unity. On the other hand, the total cancer risk data ranging from 1.24E−05 to 1.70E−05 were fallen within the range for the threshold values (1.0E−06 to 1.0E−04). However, considering the suggested values set by the environmental and regulatory agencies, it has been recommended that no significant non-carcinogenic and cancer-causing health risk for humans was seen due to the consumption of the studied fish species.

Great Lakes states are increasingly faced with questions regarding how plastic debris is impacting marine and coastal ecosystems. This is especially evident along the southern beaches of Lake Erie, where high population and industrial development have contributed to the plastics problem. In Ohio, the most common items found are cigarettes and other smoking related materials, including plastic cigar tips. Given the growing awareness of the issue, and the impact of plastics on beaches throughout the Great Lakes, a focus group convened to investigate strategies to help address the problem. The group was comprised of individuals with practical knowledge of plastic cigar tip use and disposal issues, including representatives of government agencies, nongovernmental organizations, community groups, and local academic institutions. This report represents the exploratory results of the focus group, complete with information regarding the what, why, and how of plastic cigar tip debris in the region, guidance on the material and social barriers to sustaining desired behaviors (cessation of use by minors and/or proper disposal), strategies to overcome those barriers, and suggestions for management and policy actions moving forward. Group members suggest that a combination of education and government-supported financial incentives may be the most effective approach, with community-based positive messaging backed by local taxes on smoking items that have plastic tips and rebates or other rewards for properly disposing of debris.

This paper assesses the multiplexing efficiency of environmental taxes in ensuring environmental, energy, and economic security which is an integral part of sustainability in six European countries that are leaders in the Environmental Performance Index. This study aims to confirm the hypothesis that environmental taxes and payments could simultaneously affect changes in important environmental, energy, and economic security as well as sustainability parameters. Not all the previously selected taxes, which affect the parameters of all three areas of environmental, energy, and economic sustainability and security can ensure their simultaneous growth. Calculations made for the period 1994–2019 showed that in the system of environmental taxation of Denmark, five environmental taxes and fees provide an increase in the integrated level of environmental, economic, and energy security and sustainability; in Belgium, two environmental taxes are characterized by multiplex efficiency; in France, seven environmental taxes and payments; in Austria, four; in Finland, one; and in the UK, four. The paper’s findings could create the basis for improving environmental taxation systems in the countries to increase comprehensive national security growth and ensure sustainable development path of the countries.

In this work, we study a dual-channel closed-loop supply chain (CLSC) where the manufacturer sells the new products via one fair caring retailer in the traditional channel and distributes the remanufactured products through her own direct channel in the presence of the carbon tax regulation. After solving the single-period Stackelberg game model by backward induction and analyzing the impacts of key parameters on the optimal pricing strategies and the performance of channel members, a multi-period dynamic Stackelberg game model with heterogeneous players is further established. The local stability of the Nash equilibrium point and complexity properties of the model are investigated by numerical simulation. The results reveal that (1) the retailer’s fairness concern degree is negatively related to the optimal wholesale price as well as positively related to the optimal retail price of the new product. A high level of consumer discount perception for the remanufactured product is conducive to the manufacturer obtaining more profits while it is detrimental to the retailer. (2) The excessive value of the price adjustment speed, carbon tax rate or retailer’s fairness concern degree has a strong destabilization effect on the system’s stability. (3) The manufacturer suffers profit loss while the retailer’s utility levels are elevated when the system falls into periodic cycles and chaotic motions. (4) The delay feedback control method can eliminate the chaos effectively in the dual-channel CLSC system.

The practices of the joint prevention and control of air pollution (JPCAP) present two disadvantages: the low enthusiasm of governance subjects and an unsatisfactory governance effect. Revealing the existing problems and exploring their causes has been a key issue for promoting JPCAP. Given this, we especially establish a two-stage dynamic game model for air pollution control to explore the advantages and dilemmas of JPCAP by analyzing changes in environmental tax rate and social welfare. The results show that the unfair distribution of social welfare among cities is a key reason for the unsatisfactory effect of JPCAP. Therefore, we improve JPCAP by considering both production-oriented and consumption-oriented pollutions based on environmental justice. In the improved JPCAP mode, the social welfare of each city is higher than that of non-joint control of air pollution (NJCAP), in which the increased degree is positively related to the city’s negotiation ability. In addition, the consumption tax rate is negatively correlated with the negotiation ability of the central city and the trade transfer coefficient. This study not only provides a theoretical and methodological reference for formulating effective planning and compensation scheme for JPCAP but also can be extended to the practice and theoretical analysis of other cross-regional public issues.

The prevalence of smoking in developing countries is known as a significant public health problem, and it is correlated with different demographic and socio-economic factors. This study aimed to determine the environmental and economical related factors of smoking among Iranian adults aged 35 to 70 years. The study sample consisted of 20,152 of Ardabil population aged 35–70 years which was enrolled in the PERSIAN cohort study. Smoking status during the last year was defined as dependent variable and demographic and socio-economic factors considered as independent variables. To identify the main socio-economic factors affecting the smoking prevalence in Ardabil, multivariable logistic regression was used. The prevalence of smoking was 16.1 (95%, CI 15.5–16.4) in this study, where the prevalence of smoking was for men and women 33.4% and 1.4%, respectively. The prevalence of smoking had significant association with old age (2.05, 95% CI, 1.66 to 2.53), male gender (45.15, 95% CI, 37.14 to 54.89), being married (2.60, 95% CI, 1.51 to 4.46), having cardiovascular disease (1.54, 95% CI, 1.32 to 1.79), and negative association with illiteracy (0.50, 95% CI, 0.40 to 0.64), being obese (0.83, 95% CI, 0.73 to 0.94), and lower socio-economic status (0.74, 95% CI, 0.64 to 0.84). The study showed that the prevalence of smoking in Ardabil is higher than many other countries, and different factors, especially socio-economic status, have an association with the prevalence. There are deep needs to policies and regulations such as increasing the taxation on a cigarette to reduce the negative effect of smoking in Iran.

Computable general equilibrium models (CGE) are used to estimate the ex-ante quantitative impact of a change in economic policy. There is a bulk of research in the field of sustainable development applying it for testing implementation of carbon taxation, analyzing reductions of greenhouse gas (GHG), or addressing agricultural issues to work the land efficiently. The main objective of this review is to provide an exhaustive analysis of the literature about these models and their evolution over the last 50 years. The search was conducted in the main academic databases (Scopus and Web of Science), where 1353 articles were found from 1966 to 2019 related to the topic. The results of the descriptives, relational, and content analyses carried out show the current state of the-art, trends, subfields of research, and future gaps to fulfill. This article contributes to the literature that uses CGE models providing an overview of its different applications in the field of sustainability. It gives useful insights to academics who want to further research the field.

The balance between economic development and environmental governance has always been the focus of attention, and this has become a key issue facing in China. In recent years, the means of improving the environment through taxation are common, and it is more in line with China’s national conditions. Carbon tax and fuel tax are considered to be effective environmental supervision measures, and the implementation of this policy is bound to have a critical impact on the advance of economic level. However, the implementation effects of these two mechanisms may be different, and they may also have various effects on regional development. Therefore, based on the panel data of China’s 29 provinces from 2008 to 2018, we adopt the spatial autocorrelation method to explore the relationship between the economic levels of various areas. Then, establishing the panel spatial econometric model of economic growth and carbon tax, economic growth and fuel tax respectively to compare the implementation effects of the two tax policies. It turns out that there is a positive correlation between the economic growth of 29 provinces in China. And whether choosing to levy carbon tax or fuel tax, they all have their own advantages and disadvantages. Finally, according to the results of empirical analysis results, some relevant policy suggestions are put forward.

This paper investigates the impact of several comprehensive risks such as credit risk, capital risk, liquidity risk, and insolvency risks on Pakistani banks’ technical efficiency to assess the nexus between environmental investments with technical efficiency of banks. It also probes into the effect of competition among the Pakistani banks on technical efficiency. The data envelopment analysis (DEA) CCR and BCC models are used to estimate technical, purely technical, and scale efficiencies of the Pakistani banks. The Lerner index measures the banking competition. For estimation, the bootstrap truncated regression is used as an econometric technique. The robustness of results is cross-checked by using an alternative econometric technique (fractional logit regression) and an alternative competition measure (Boone indicator). The study revealed that capital risk has a positive impact on scale efficiency and insolvency risk has a negative impact on technical and pure technical efficiencies. Similarly, there is a positive significant relationship between technical efficiency and environmental investment. Furthermore, the competition has a significant negative effect on Pakistani banks’ technical and pure technical efficiencies. The results suggest that the efficiency of the Pakistani banks is significantly affected by bank size, taxation, diversification, operational cost management, banking development, trade openness, and infrastructure development, which ultimately promotes environmental efficiency and protection. The comparative study indicates that the state-owned banks have higher technical, pure technical, and scale efficiencies than the private, foreign, and Islamic banks.