Occurrences of six steroid estrogens from different effluents in Beijing, China

Concentration levels of six natural and anthropogenic origin steroid estrogens, namely, diethylstilbestrol (DES), estrone (E1), estradiol (E2), estriol (E3), ethinylestradiol (EE2), and estradiol-17-valerate (Ev), from different effluents in Beijing were assessed. Sampling sites include two wastewater treatment plants (WWTPs), a chemical plant, a hospital, a pharmaceutical factory, a hennery, and a fish pool. In general, concentrations of estrogens in the effluents varied from no detection (nd) to 11.1 ng/l, 0.7 to 1.2 × 10³ ng/l, nd to 67.4 ng/l, nd to 4.1 × 10³ ng/l, nd to 1.2 × 10³ ng/l, and nd to 11.2 ng/l for DES, E1, E2, EE2, E3, and Ev, respectively. The concentration levels of steroid estrogens from different effluents decreased in the order of pharmaceutical factory and WWTP inlets > hospital > hennery > chemical factory > fish pool. This study indicated that natural estrogens E1, E2, and E3 and synthetic estrogen EE2 are the dominant steroid estrogens found in the different Beijing effluents. For source identification, an indicator (hE = E3/(E1 + E2 + E3)) was used to trace human estrogen excretion. Accordingly, hE in effluents from the hospital and WWTP inlets exceeded 0.4, while much smaller values were obtained for the other effluents. Human excretions were the major contributor of natural estrogens in municipal wastewater. Estimation results demonstrated that direct discharge was the major contributor of steroid estrogen pollution in receiving waters.     

The role of physical and human capital in FDI-pollution-growth nexus in countries with different income groups: A simultaneity modeling analysis

This paper examines the causal links between foreign direct investment (FDI), CO₂ emissions, and economic growth in a global panel of 101 countries and four diverse income groups (low, lower-middle, upper-middle, and high) countries using the simultaneous equations framework, with data from 1990 to 2014. Considering physical capital and human capital, this is the first time these two determinants have been linked to the FDI-pollution-growth simultaneous equation model. The dependent variables in the three simultaneous equations are inflow of foreign direct investment, CO₂ emissions as a proxy for environmental pollution, and real gross domestic product. Three critical inferences can be drawn from the results. First, there is a two-way causal relationship between growth and FDI in the global panel and across all income groups (except for lower-middle-income groups). Likewise, except for high-income countries, there is a two-way causal relationship between FDI and CO₂ emissions in the global panel. Second, the results support a one-way causal relationship between economic growth and CO₂ emissions in the global panel and the income subgroup, but only in the low-middle and high-income groups support the environmental Kuznets curve (EKC) and pollution haven hypothesis (PHH). Third, the heterogeneous impact of human and physical capital on the environment is genuinely striking: human capital improves its quality while physical capital degrades it. The results suggest that physical and human capital contributes to economic growth and attracts foreign direct investment.     

Technological innovation and sustainable development : Does the stage of development matter?

Technological innovation has generated much interest among scholars, practitioners, and policymakers as a critical instrument for achieving sustainable development. Although the relationship between technological innovation and sustainable development has been extensively discussed in the academic and policy circles, little studies have empirically examined the simultaneous impact of technological innovation on the three pillars of sustainable development. To fill this gap, the present study examines the ability of technological innovation to simultaneously promote economic progress and advance social and environmental conditions in the case of 75 low-, middle-, and high-income countries by demonstrating how this impact differs across the stages of economic development. From both long-run estimates and causality analysis, our findings reveal that technological innovation contributes simultaneously to the three pillars of sustainable development only in the case of rich countries; however, it only affects the economic and environmental dimensions in the middle-income countries, and no impact is found in the case of low-income countries. Future research directions, policy and managerial implications are also discussed.     

Determination of Steroid Estrogens in Wastewater Treatment Plant of A Controceptives Producing Factory

Steroid estrogens such as estrone (E1), 17β-estradiol (E2), estriol (E3), and 17α-ethynylestradiol (EE2) have been suspected to be the main contaminants, which can affect the endocrine system of animals. Many authors have investigated these chemicals in the domestic wastewater treatment plants (WTP). However, wastewater from industries producing steroid contraceptives has not got ample attention. From the environmental point of view, the four steroids are very significant because even very low concentrations (ng/L) can cause reproductive disturbances in human, livestock and wildlife. The main purpose of the present investigation was to develop an analytical method for the determination of the four steroid estrogens present in WTP of a pharmacy factory, mainly producing contraceptive medicine in Beijing, China. Analysis was performed by solid-phase extraction (SPE) system and liquid chromatography combined with tandem mass spectrometry (LC/MS/MS). The average recoveries from effluent samples ranged from 88% to 103% and the precision of the method ranged from 9% to 4%. Based on 0.5-L wastewater samples, the limit of quantification (LOQ) was determined at 0.7 ng/L for E1, 0.8 for E2, 0.9 ng/L for E3, and 0.5 ng/L for EE2 in influent, and 1.0 ng/L for E2 and EE2, and 2.0 ng/L for E1 and E3 in effluent. In the influent samples, average concentrations of 80, 85, 73 and 155 ng/L were determined for E1, E2, E3 and EE2, respectively, showing that they were removed in this WTP to the extent of 79, 73, 85 and 67%, respectively.     

Occurrence and fate of steroid estrogens in the largest wastewater treatment plant in Beijing, China

Concern over steroid estrogens has increased rapidly in recent years due to their adverse health effects. Effluent discharge from wastewater treatment plants (WWTPs) is the main pollutant source for environmental water. To understand the pollutant level and fate of steroid estrogens in WWTPs, the occurrence of estrone (E1), 17-β-estradiol (E2), estriol (E3), and 17-β-ethinylestradiol (EE2) was investigated in the Gaobeidian WWTP in Beijing, China. Water samples from influent as well as effluent from second sedimentation tanks and advanced treatment processes were taken monthly during 2006 to 2007. In influent, steroid estrogen concentrations varied from 11.6 to 1.1?×?10(2)?ng/l, 3.7 to 1.4?×?10(2)?ng/l, no detection (nd) to 7.6×10(2)?ng/l and nd to 3.3?×?10(2)?ng/l for E1, E2, E3, and EE2, respectively. Compared with documented values, the higher steroid estrogen concentrations in the WWTP influent may be due to higher population density, higher birthrate, less dilution, and different sampling time. Results revealed that a municipal WWTP with an activated sludge system incorporating anaerobic, anoxic, and aerobic processes could eliminate natural and synthetic estrogens effectively. The mean elimination efficiencies were 83.2%, 96.4%, 98.8%, and 93.0% for E1, E2, E3, and EE2, respectively. The major removal mechanism for natural estrogens and synthetic estrogen EE2 were biodegradation and sorption on the basis of mass balance in water, suspension particles, and sludge. In the WWTP effluent, however, the highest concentrations of E1, E2, E3, and EE2 attained were 74.2, 3.9, 5.1, and 4.6?ng/l, respectively. This is concerning as residual steroid estrogens in WWTP effluent could lead to pollution of the receiving water. Advanced flocculation treatment was applied in the WWTP and transformed the residual estrogen conjugates to free species, which were reduced further by filtration with removal shifting from 32% to 57% for natural estrogen, although no EE2 was removed.     

Revealing the pattern and evolution of global green development between different income groups: A global meta-frontier by-production technology approach

A clear understanding of the overall pattern of global green development and the green development discrepancies among countries has a bearing on how each country participates in global environmental governance, which is more conducive to promoting the process of global green development in the future. This study constructed a global meta-frontier by-production technology model to evaluate the green total-factor productivity (GTFP), and studied the discrepancies of green development process and their growth sources for a sample of 163 countries (or regions) during the period 1990–2017. The results indicate that global GTFP witnessed remarkable growth before financial crisis occurred in 2007, but showed a slow growth trend after a decline during the financial crisis. The performance of GTFP exhibits significant regional disparity and dynamic change disparity. GTFP was the highest in high-income group, while lower than 0.55 in the upper middle-income and lower middle-income group in all years. Technological gap between regions was the principal factor leading to this result. Dynamically, among all countries covered in this study, there are twenty-five countries (or regions) experienced GTFP decline. Technological gap enlargement was the most important factor causing their GTFP decline, followed by the resource allocation inefficiency.     

Assessment of urban sustainability efficiency based on general data envelopment analysis: a case study of two cities in western and eastern China

Sustainable urban development focuses on enhancing urban well-being, while also balancing the demands of urban social and economic development, natural resource consumption, and environmental pollution. This work used general data envelopment analysis to assess the urban sustainability efficiency (USE) and sustainability potential (SP) in Lanzhou and Xiamen, two cities that are characteristic of urban areas in western and eastern China. The assessment indicator system included important natural and urban welfare factors as input and output indices, respectively. The results showed that overall urban sustainability efficiency increased in Lanzhou and Xiamen from 1985 to 2010, but that the sustainability of natural resources clearly decreased. The urban sustainability efficiency of Xiamen was higher than that of Lanzhou, and the sustainability potential of Xiamen was lower than that of Lanzhou; this indicates that Xiamen performed better in terms of urban sustainable development. The urban sustainability efficiency in Xiamen has increased with increasing urban population, and the rate and scale of economic development have been higher than in Lanzhou. The assessment and analysis performed in this study show that cities with different natural resources and development characteristics have different forms, patterns, and trajectories of sustainable development.     

Occurrence of estrogenic chemicals in South Korean surface waters and municipal wastewaters

Broad scale monitoring of estrogenic compounds was performed at 19 sampling points throughout the Yeongsan and Seomjin river basins and 5 wastewater treatment plants (WWTPs) adjacent to the Gwangju area, Korea, from December 2005 to August 2007. The concentrations of estrogenic compounds, including estrone (E1), 17β-estradiol (E2), 17α-ethynylestradiol (EE2), bisphenol-A, nonylphenol (NP) and 4-octylphenol (OP), in the samples was measured with gas chromatography/mass spectrometry (GC-MS). In addition, the estrogenic activities throughout the river were investigated using the E-screen assay. Of the six estrogenic chemicals, NP (114.6-336.1 ng L(-1)) and EE2 (0.23-1.90 ng L(-1)) were detected at the highest and lowest levels, respectively in both the river waters and the WWTP effluents. Bisphenol-A showed the largest concentration range, from 7.5 to 335 ng L(-1). The concentrations of E1, E2 and octylphenol ranges were 3.6-69.1, 1.2-10.7, and 2.2-16.9 ng L(-1), respectively. According to the calculated estradiol equivalent concentration (EEQ); however, no estrogenic contribution was observed due to the phenolic compounds in the river waters and effluents. E1 and E2 dominated in both the river water and effluent samples, with contributions to the calculated EEQ of over 79 and 77%, respectively. Conversely, EE2 was rarely detected in the river waters (21%) and effluents (0%). The largest contribution of EE2 to the calculated EEQ was 21% in the river water at S-7. The levels of E1, E2, and EE2 were remarkably decreased in the effluents, indicating that the 5 WWTPs did not contribute to the estrogenic effect of the receiving streams. Overall, the WWTPs did not contributed to the estrogenic activity of the receiving waters, but the livestock industry or wildlife may play an important role in the estrogenic contribution to river water.     

The WHO/UNEP Pilot Project on Assessment of Human Exposure to Pollutants through Biological Monitoring

The objectives, development and current status of the WHO/UNEP Pilot Project on Assessment of Human Exposure to Pollutants through Biological Monitoring are described. The project is being carried out within the framework of UNEP's Global Environmental Monitoring System (GEMS) and is supported by funds from UNEP. The long-term objective is to develop and strengthen national, regional and global biological monitoring programmes that will make it possible to accurately assess human exposure to selected toxic pollutants by measuring their concentrations in human tissues and body fluids. In this pilot project the levels of lead and cadmium in venous blood, cadmium in kidney cortex and certain organochlorine compounds in breast milk are being determined in selected population groups in 10–12 countries in different parts of the world. Each participating laboratory has been required to achieve satisfactory results in the quality assurance phase of the project before starting to analyse the human samples and quality assurance has been continued during the monitoring phase. The project started in 1978 and is scheduled for completion by July 1982.     

Good governance for sustainable development goals: Getting ahead of the pack or falling behind?

This article extends previous sustainability literature by demonstrating the effectiveness of good governance in rebalancing the economic, environmental, and social components of sustainable development. Good economic, political, and institutional governance are considered as conditional variables, which allow rebalancing these three components in the case of 20 selected MENA economies for the period 1996–2014. Using simultaneous-equation modeling approach, we find that (i) political and institutional governance positively contribute to the three components of sustainable development; (ii) there exists a two-way linkages between human development and economic growth, meaning that they are interrelated and may very well serve as complements to each other; (iii) increased economic growth conducts to further emissions, which, in turn, decreases economic growth; (iv) enhancing human development conducts to a reduction in carbon dioxide emissions, which, in turn, negatively affects human development; (v) improving both political and institutional governance permits MENA governments to moderate both the negative impacts of carbon emissions on economic growth and human development and the positive impact of economic growth on increasing emissions, and as a result sustainable development.     

Human Capital,Innovation, and Climate Policy: an Integrated Assessment

This paper looks at the interplay between human capital and innovation when climate and educational policies are implemented. Following recent empirical studies, human capital and general purpose research and development (R&D) are introduced in an integrated assessment model used to study the dynamics of climate change mitigation. Our results suggest that climate policy stimulates general purpose as well as clean R&D but reduces the incentive to invest in human capital formation. Both innovation and human capital have a scale effect, which increases pollution, as well as a technique effect, which saves emissions for each unit of output produced. While the energy-saving effect prevails when innovation increases, human capital is pollution-using, also because of the gross complementarity between the labor and energy input. When the role of human capital is the key input in the production of general purpose and energy knowledge is accounted for, the crowding-out of education induced by climate policy is mitigated, though not completely offset. By contrast, a policy mix that combines educational as well as climate objectives offsets the human capital crowding-out, at moderate and short-term costs. Over the long run, the policy mix leads to global welfare gains.     

What matters in the distributions of clean development mechanism projects? A panel data approach

The Clean Development Mechanism (CDM) suggests that both developed and developing countries can take actions to mitigate global climate change. Carbon reduction and sustainable development are the goals of the CDM. However, the uneven distribution of the CDM projects in developing countries may jeopardize the fulfilment of these goals. This paper uses panel data from 107 host countries to explore the influencing factors of the CDM using a negative binomial regression. The club convergence model is used to divide the host countries into different sub-groups according to their numbers of operating CDM projects in a year. The results show that affluence, the sophisticated international trading experience, and the growing demands for energy of the host countries have a positive impact on the successful registrations of the CDM projects, while the cost of carbon emission abatement hinders the registration. But for countries with fewer CDM projects, the industrial level and national carbon emission have no significant impacts on the distribution of CDM projects. In the end, target policy implications were made based on the results.     

Latitudinal and longitudinal variations in the impact of air pollution on well-being in China

Air pollution has resulted in high costs of living due to additional expenditures to combat the negative health effects, and the relationship between air pollution and well-being is of burgeoning interest. In this paper, the development and life index including 42 indicators is introduced to measure much broader dimensions of well-being in China at the macro level, which helps to compare the well-being of different regions. This paper uses provincial-level panel data from 2004 to 2013 in China, to empirically analyze and compare the impact of air pollution on well-being in latitudinal and longitudinal settings, based on regression methods, such as 2SLS, LIML, GMM and IGMM. The results show that although increased air pollution negatively affects well-being in general, the magnitude of the impact differs by region. Specifically, in China's northern regions, air pollution had a significantly negative impact on well-being, while the negative impact was weaker in southern China; moreover, a strong negative impact was found in western China, while a weak negative impact was found in eastern and central China. The time effect was also found to influence air pollution. Finally, this paper found that the natural birth rate and income level served as functional mechanisms of the effect of air pollution on regional well-being. These findings are useful in guiding government policy for determining the optimal balance between air quality control for economic growth and regional well-being.     

Circular economy development in China-current situation,evaluation and policy implications

Circular economy (CE), distinguishing from the traditional linear developmental model, is a new mode which stresses recycling resources to save resources, protect environment and achieve economic development. Thus, many countries have made the development of circular economy as a strategy, since it has played an important role in adjusting the industrial structure, changing the way of economic growth, constructing ecological civilization and finally promoting sustainable development. However, to evaluate the level of CE development is rarely seen. China has experienced “11th Five Year” and “12th Five Year” to promote the development of circular economy through the whole country, and have made remarkable achievements. We assessed the circular economy development levels of 31 Chinese provincial regions in 2017 using data envelopment analysis (DEA) in this study. This analysis applied indicators which can well reflect the characteristics of circular economy. Results show that large differences still exist in the development level of circular economy in different regions. 23% of the provinces (e.g. Beijing, Shanghai, Tianjin) are relatively efficient. 70% of the regions being inefficient in scale efficiency show decreasing returns to scale. The overall efficiency of Inner Mongolia ranks last. In addition, this study finds the inhibitors of circular economy development according to the DEA results and proposed suggestions for establishing an effective mechanism to promote CE development. Overall, our research methods and findings may help China and other regions abroad measure the level of circular economy development and promote the development of circular economy     

Development of a landfill model to prioritize design and operating objectives

The application of scientifically based decision making tools to help address solid waste management issues dates back to the early 1960s. Researchers continue to use operations research tools to help optimize landfill design and operating parameters. This paper discusses the application of another type of decision making tool, the analytical hierarchy process (AHP), to address priority ranking for a number of landfill engineering design and operating objectives in developing and developed countries. In this application, the AHP is used to rank, and prioritize, economic, environmental, health and safety, legislative and public perception objectives for landfill design and operations specific to landfill distance from a community, and precipitation levels. Results from a global survey using the Delphi process are included, with a discussion on the survey’s impact on the objective rankings relative to community proximity and precipitation. The Delphi process worked extremely well, and was an excellent tool to use in this application. The initial results from the objective rankings show promise in the development of an integrated model for landfill design and operation.     

Occurrence and removal of endocrine-disrupting chemicals in wastewater treatment plants in the Three Gorges Reservoir area, Chongqing, China

Concentrations of six endocrine-disrupting compounds (EDCs), bisphenol A (BPA), estrone (E(1)), 17β-estradiol (E(2)), estriol (E(3)), 17α-ethynylestradiol (EE(2)) and diethylstilbestrol (DES), were assessed in influents, effluents and excess sludge in ten municipal wastewater treatment plants (WWTPs) in the Three Gorges Reservoir (TGR) area, Chongqing, China. Three types of activated sludge treatment processes, oxidation ditch (OD), reversed anaerobic-anoxic-oxic (rA(2)/O) technology and sequential batch reactor (SBR), were used in the surveyed WWTPs. These WWTPs were all combined landfill leachate-sewage treatment plants. All analytes were extracted by solid-phase extraction (SPE) in the dissolved phase and by accelerated solvent-based extraction (ASE) in sludge. Gas chromatography-mass spectrometry (GC-MS) was employed for the analysis of EDCs. Among these EDCs, BPA was the most frequently detected and abundant compound (100.0-10566.7 ng L(-1), 15.5-1210.7 ng L(-1) and 85.0-2470.4 ng g(-1) with respect to the influents, effluents and excess sludge samples). The greatest levels of steroidal estrogens in municipal influents were observed in E(3) which were all >100 ng L(-1), followed by E(1) (42.2-110.7 ng L(-1)) and E(2) (7.4-32.7 ng L(-1)), and in the effluents and sludge were E(1) > E(3) > E(2) which were all <31 ng L(-1) and 105 ng g(-1), respectively. Regarding synthetic estrogens, EE(2) was frequently detected in the influents, occurring below 50 ng L(-1), while DES was not detected at all. A high correlation coefficient was observed between the leachate-sludge ratio and concentrations of influent EDCs, and it was statistically significant (i.e., R > 0.65, P < 0.05), but removal efficiency of the EDCs did not show significant differences with OD, rA(2)/O and SBR processes. Furthermore, modification of treatment technology as well as operational parameters, such as hydraulic retention time (HRT), sludge retention time (SRT) and disinfection process (DP), were recommended to further eliminate the residual EDCs.     

In situ polar organic chemical integrative sampling (POCIS) of steroidal estrogens in sewage treatment works discharge and river water

A passive sampler (the polar organic chemical integrative sampler; POCIS) was assessed for its ability to sample natural estrogens (17β-estradiol, E2; estrone, E1 and estriol, E3) and the synthetic estrogen (17α-ethynylestradiol, EE2) in the outlet of a sewage treatment works over several weeks. The performance of the POCIS was investigated and optimised in the laboratory before field deployment with high recoveries (66-99%) were achieved for all estrogens. Moreover, it was shown that POCIS does not exhibit any preferential selectivity towards any of the target compounds. The sampling rates of E1, E2 and E3 were 0.018 ± 0.009, 0.025 ± 0.014 and 0.033 ± 0.019 L d(-1), respectively. Following field deployments of 28 days in the discharge of a sewage works, POCIS was shown to enhance the sensitivity of estrogen detection, especially for E3, and provide time-weighted average (TWA) concentrations of E1, E2 and E3, ranging from undetectable to 12 ng L(-1) upstream of the outflow of a sewage treatment works, 13 to 91 ng L(-1) at the outflow and 8 to 39 ng L(-1) downstream of the outflow. This revealed that E1, E2 and E3 are not completely removed during sewage treatment, with concentrations most likely being maintained by contributions from conjugated estrogen analogues. Grab water samples showed considerable variation in the concentrations of estrogens over a longer period (6 months). The results confirm that POCIS is an effective and non-discriminatory method for the detection of low concentrations of estrogens in the aquatic environment.     

徐州市污水厂内分泌干扰物的去除及生态风险评价

对徐州市3家不同处理工艺污水厂进出水中的17α-乙炔基雌二醇(EE2)、雌三醇(E3)、雌二醇(E2)、雌酮(E1)、双酚A(BPA)等5种雌激素物质进行了分析,采用固相萃取技术对这些物质进行富集分离,使用LC-MS对目标物进行检测。结果表明,3座污水厂的雌激素(除BPA)平均进出水浓度较高,污水厂对EE2和BPA的去除效果较好,分别为84.89%和98.38%;但对E3、E2、E1去除效果不够理想。经对内分泌干扰物的雌激素活性及生态风险进行评价,建议徐州地区应优先控制EE2、E1和E3。     

Decomposition of energy consumption and its decoupling with economic growth in the global agricultural industry

The development of mechanization and technology has triggered the growing energy consumption in the agricultural industry. Energy saving in the agriculture industry becomes equally essential with that in the manufacturing, building, and transportation industries. The implementation of reducing energy consumption should be without costing the agricultural production, which is closely related to the food security of human beings. Strong decoupling between energy consumption and economic growth indicates the former decreases while the latter grows, which should be pursued by nations. Therefore, as the first research objective, this study analyzed the decoupling statuses between energy consumption and economic growth in the agricultural industry of 89 countries whose data exist across the period of 2000 to 2016. As a result, only 18 countries have reached strong decoupling. Secondly, this study decomposed agricultural energy consumption in the 89 countries to the effects of a driving factor (i.e., agricultural economic output) and three inhibiting factors (i.e., agricultural land, labor intensity, and energy intensity in descending order). With the identified decoupling statuses, this study provides a substantial understanding of the relationship between agricultural energy consumption and production from a global perspective. Meanwhile, the decomposed factors and corresponding policy implications provide evidence for decision makers of each nation to tailor energy-saving strategies in its agricultural industry.     

Assessing the impact of emissions trading scheme on low-carbon technological innovation: Evidence from China

A global consensus on carbon emission reductions has been reached for combating climate change. The Chinese government has clearly stated that it is necessary to make full use of market means to improve the level of environmental governance. Emissions trading scheme (ETS) is a typical market means to accelerate low-carbon economic transition. Low-carbon technological innovation is one of the key factors affecting carbon emissions. However, literature on the relationship between ETS and low-carbon technological innovation is relatively scarce at present. This study assesses the effect of pilot ETSs on low-carbon technological innovation, and a difference in differences (DID) model is adopted to analyze China's provincial panel data from 2003 to 2017. The results indicate that China's pilot ETSs can significantly promote low-carbon technological innovation, and changing the window period, PSM-DID and placebo test all verify the robustness of this finding. The dynamic effect test reveals that China's pilot ETSs will gradually increase the effect on low-carbon technological innovation over time. The heterogeneity analysis shows that the effect of China's pilot ETSs on low-carbon technological innovation is more obvious in Guangdong, Hubei, Tianjin and Chongqing. The mechanism analysis suggests that marketization degree and green consumption concept can positively moderate the impact of China's pilot ETSs on low-carbon technological innovation, and industrial structure upgrading plays a positive mediating role between China's pilot ETSs and low-carbon technological innovation. This study is conducive to assessing the policy effectiveness of China's pilot ETSs and provides an empirical evidence for promoting the development of the carbon emissions trading market.