Pollution Intensity Research Articles

Cross-contamination and ecological risk assessment of antibiotics between rivers and surrounding open aquaculture ponds

Antibiotics are causing widespread concern as one of the emerging contaminants. There is the abuse of antibiotics in high-density open aquaculture, and the tailwater is often discharged into surrounding rivers. At the same time, the water replenishment of open aquaculture ponds from nearby rivers containing antibiotic contamination from different sources may result in cross-contamination. However, it is still unclear which pollution intensity is greater in rivers or in open aquaculture. So in this paper, the levels of 20 antibiotics (i.e., Fluoroquinolones (FQs), Sulfonamides (SAs), Tetracyclines (TCs), Macrolides (MLs) and Lincosamides (LCs)) in rivers and high-density open aquaculture ponds were investigated in the Baini River basin in the suburbs of Guangzhou, China. The results showed that norfloxacin (NFX) was the predominant antibiotic in river and aquaculture water, with concentrations ranging from 6.12 to 156.04 ng/L and from 7.47 to 82.62 ng/L in both aquatic systems, respectively. As for the pollution intensity of antibiotics, the annual pollution contribution (28.64 kg/a) of the river water supply to open aquaculture is higher than that (10.81 kg/a) of open aquaculture to the river, which means river pollution has a greater impact on aquaculture ponds. The risk quotient (RQ) showed that the ecological risk of lincomycin (LIN), erythromycin (ERY), sulfamethoxazole (SMX), norfloxacin (NFX), ciprofloxacin (CFX) and chlortetracycline (CTC) in rivers and aquaculture environments had high ecological risks from 1.21 to 1.81. Water interactions with contaminated rivers will result in a corresponding increase in the ecological risk of antibiotics in the aquaculture environment. Overall, according to the results, the risk of polluted rivers to open aquaculture cannot be ignored, and it is recommended that open aquaculture should use these water sources with caution, and that the water quality evaluation of aquaculture water should be increased with monitoring indicators for emerging contaminants such as antibiotics.

Impact of current anthropogenic activities on Blesbokspruit wetland microbiome and functions

Till present, natural wetlands have been continuously subjected to intensive pollution stress in recent years, mainly because of the rapidly growing industrialization and urbanization that are associated with a myriad of anthropogenic activities and land use practices. These man-made sources of pollution change the chemical properties of the natural wetlands, which in turn alter their microbial ecological biodiversity and functions. For the first time, the impact of the current anthropogenic activities and land use practices on the Blesbokspruit wetland chemical status and their consequential effect on the microbial structure and functions were investigated. Sites of high pollution intensity were identified using geographic information systems mapping (GISMapping) and the wetland microbiome and functional profile were studied through the use of high throughput shotgun metagenomics sequencing analysis. The predominant phyla that stemmed along the Blesbokspruit wetland were found to be Proteobacteria which was more dominant in water (93 %) than in the sediments (89 %), followed by firmicutes which was more abundant in sediments (9 %) than in water (6 %), and Bacteroidetes were relatively low in abundance within both the sediments (2 %) and the overlying water (1 %). The genera Klebsiella (70.4 %–28.2 %), Citrobacter (52.0 %–30.6 %), Escherichia (51.0 %–8.4 %), and Lynsinibacillus (9.3 %–1.5 %) were observed in most water and sediment samples. Within the six polluted sites, Site 2 was found to be the most highly polluted site in the Blesbokspruit wetland with very high COD (900 mg/L), TOC (11.60 mg/L), NO3− (39.74 mg/L), NO2− (12.64 mg/L), PO43 (4.14 mg/L), Fl− (143.88 mg/L), Cl− (145.95 mg/L) concentrations recorded in the water and high levels of TOC (0.37 mg/L), TC (6.92 %), TN (1.82 %), TS (0.53 %) in sediments. The microbial community structure and functions were found to be strongly influenced by the high organic content from the intense agricultural activities and sewage spillages and heavy metals from the mining activities nearby.

Water, air pollution and carbon footprints of conspicuous/luxury consumption in India

The literature on the environmental impacts of household consumption in India focuses on carbon and ecological footprints of income groups. This article connects conspicuous/luxury (C/L) consumption in India to its local, regional and global environmental impacts. We evaluate carbon dioxide (CO2), water, and particulate matter (PM2.5) footprints of consumption disaggregated into food-basic, nonfood-basic, and C/L consumption across expenditure deciles. We find that all three footprints rise, but at different rates, with increasing expenditure. Notably, CO2 and PM2.5 intensities of C/L consumption increase with income, unlike all other intensities of consumption. However, in all three footprints, there is a disproportionate rise in the top decile, which is driven by C/L consumption expenditure more than the pollution intensity of C/L consumption. These results imply that demand reduction measures in C/L consumption could have broad-based and deep environmental benefits, while pollutant-specific mitigation policies may face trade-offs with other environmental impacts. There is a need for further research on connecting local and regional environmental footprints with the actual impacts, to better understand the relationships between conspicuous/luxury consumption and multi-dimensional environmental impacts in developing countries context.

Variation in Phosphorus Concentration and Flux at Zhutuo Section in the Yangtze River and Source Apportionment

Phosphorus (P) is a pollutant of great concern in the Yangtze River Basin. The Xiangjiaba Reservoir and Xiluodu Reservoir on the lower reach of the Jinsha River began to operate in 2012 and 2013, respectively, which greatly changed the concentrations of suspended sediment and characteristics of P form and transport in the reservoirs and the downstream reach from Yibin to Jiangjin of the Yangtze River. The Zhutuo section is representative in the water quality of the Yibin-Jiangjin reach, which can not only reflect the comprehensive effects of the formation of the two reservoirs and changes in the aquatic environment in the Min-Tuo Rivers but also reflect the quality of water flowing into the Three Gorges Reservoir. The runoff, concentrations and fluxes of suspended sediments (SS), and P concentrations and fluxes at Zhutuo section were studied during 2002-2019, and the source of P was apportioned based on the principle of river base flow. The results showed that in the past 18 years, the concentrations and fluxes of total phosphorus (TP) and particulate phosphorus (PP) at Zhutuo section in the wet season were higher than those in the level and dry seasons; the rule of positive correlation between PP and SS concentrations remained unchanged. From 2002 to 2019, the concentrations and fluxes of TP, PP, and dissolved P (DP) generally increased first and then decreased, and the operation of the Xiangjiaba Reservoir was a time node for the trend turning. Compared with that in the period from 2002-2012, the SS concentration and flux decreased by 94% and 77%, TP and PP concentrations decreased by 46% and 70%, and TP and PP fluxes decreased by 58% and 74%, respectively, during 2014-2019. The decline mainly occurred in the wet season, followed by that in the level season. After the formation of the two reservoirs, the relationship between water and sediment and the form of P greatly changed, and the proportion of DP in TP increased significantly, whereas the proportion of PP was the opposite. The TP pool in overlying water in the dry and level seasons shifted from mainly particulate to mainly dissolved. The change in water and sediment conditions was the main driving force for the significant change in P concentration, flux, and form. Before the operation of the Xiangjiaba Reservoir, the Jinsha River was the maximum contributor to the whole and diffuse source part of the TP load at Zhutuo section among the contributing catchment sub-basins; however, the Minjiang River became the largest contributor after the operation. The average TP load at Zhutuo section from 2017-2019 was 3.575×104 t·a-1 (after deducting the natural background value), of which the contribution of diffuse sources and point sources accounted for 68% and 32%, respectively. The Minjiang River represented 49%, 43%, and 62% of the total TP load, diffuse source TP load, and point source TP load at Zhutuo section, respectively. Considering the load contribution and pollution intensity, the key area for P pollution control in the area upstream of the Three Gorges Reservoir was the Min-Tuo River Basin.

Re-evaluating the impact and mechanism of digital economy on regional pollution intensity from the perspective of spatial spillover.

Based on the panel data of 259 cities across China from 2011 to 2019, the study investigates the long-run impact of digital economy on regional pollution intensity by employing multiple models. The estimation results reveal that (1) the relatively heavily polluted areas are concentrated in the north, especially in the northeast of China; the overall pollution intensity is decreasing year by year at the national level; (2) the development of digital economy can significantly contribute to the reduction of regional pollution intensity and it has a statistically significant negative spatial spillover effect on the pollution intensity of neighboring cities; (3) mechanism analysis shows that the development of digital economy not only has a direct effect on the reduction of pollution intensity but also promotes the reduction through the channel of industrial structure upgrading and green technology progress; (4) the results of threshold model suggest that as the level of development of the digital economy increases, its marginal inhibitory effect of promoting the decrease in pollution intensity will diminish; (5) heterogeneity analysis shows that the development of digital economy makes the strongest marginal contribution to pollution intensity reduction in the northeast region. Finally, the conclusions remain valid after controlling for exogenous shocks such as "smart city" policy, various robustness, and endogeneity tests.

Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China

This research endeavors to investigate the causal relationship between climate change and pollution intensity, employing a county-level dataset encompassing meteorological data and air pollution measurements from 2008 to 2017 in China. We discern the immediate causal impact of “local temperature shocks” on pollution intensity, uncovering a positive association between climate change and pollution intensity. Notably, this effect manifests with greater significance in economically underdeveloped regions, the northern provinces, and cities not reliant on resource-based industries. Moreover, we disentangle the influence of extreme heat on air pollution into three distinct facets: scale, technological, and structural effects. Our findings reveal that extreme heat augments energy demand, diminishes energy efficiency, and amplifies coal consumption, consequently elevating pollution intensity. Drawing upon the SSP126 and SSP585 climate change scenarios for future Chinese cities in the short-term (2041–2060), mid-term (2061–2080), and long-term (2081–2100), our simulation outcomes demonstrate that the escalating frequency of hot days will perpetuate an adverse impact on pollution intensity across China's counties. This study presents a fresh perspective on the environmental repercussions of climate change and provides theoretical underpinning for local authorities in their endeavors to attain concurrent reductions in both pollution and carbon emissions.

Policy for handling air pollution in Jakarta: Study using System Dynamics Simulation Models

Air pollution in Jakarta has become a severe concern in the last four months. IQAir, in August 2023, revealed that the level of air pollution had reached 161 points on the Air Pollution Standard Index (APSI). The negative impact on society has placed air pollution as a concern for environmental safety and survival in danger. This condition will encourage the development of a national policy agenda to integrate environmental welfare through various energy efficiency channels. This research analyzes the relationship between air pollutant elements that can reduce air quality. The analysis includes pollutant intensity measured by APSI per unit of pollutant as a measure of efficiency. The aim is to observe energy use, which causes an increase in pollutant levels. This research utilizes dynamic system modeling to produce relationships between parameters to produce factors that cause pollution. The parameters used are motorized vehicles, waste burning in landfills, industry, and power plants. The results of historical behavioral tests and statistical suitability tests show that the behavior is suitable for the short and long term. The simulation results show that the pollution level will worsen by the end of 2027, a hazardous condition for society. The optimistic scenario simulation model proposes immediate counter-measures to reduce pollution to 45.01, the ideal condition. To accelerate improvements in air quality, the Government can plan policies to reduce the use of coal by power plants and industry, as well as the use of electric motorized vehicles, resulting in an ideal reduction in pollution by 2024. In conclusion, pollution can be reduced effectively if the Government firmly implements policies to maintain that air quality remains stable below 50 points.

The impact of environmental regulation on innovation and international competitiveness

The purpose of this paper is to analyze the impact of environmental regulation on innovation and international competitiveness. We test the weak, narrow, and strong versions of Porter's hypotheses by looking at the impact of environmental regulation on exports both directly and indirectly through innovation and by introducing the role of pollution intensity in moderating the impact of stringent regulation on innovation and international competitiveness. Green policies are measured with the OECD Environmental Stringency Policy Index, distinguishing between market, non-market instruments, and technology support policies. Differently from previous papers, we adopt the technology gap approach to trade, which is suitable for relating environmental regulation to trade competitiveness and we apply the simultaneous-equation system econometric model with a moderating factor represented by pollution intensity. The results support the weak and strong versions of Porter’s hypotheses and find that the positive impact of regulation on innovation and exports increases with a country’s pollution intensity, suggesting that green policies, if properly coordinated, can represent a win–win strategy, fostering, at the same time, sustainability and international competitiveness.

Distribution of magnetic susceptibility of surface dust in Xining City and its indicative significance to heavy metal pollution

The establishment of heavy metal pollution grade standards based on the magnetic susceptibility of surface dust can provide a simpler magnetic method for the evaluation of heavy metal pollution of surface dust. A total of 251 urban soil surface samples were collected in Xining City, and As, Cd, Cr, Cu, Ni, and Pb were determined V and Zn contents, as well as low-frequency magnetic susceptibility (χLF) and high-frequency magnetic susceptibility (χHF). The common Kriging interpolation method was used to explore the spatial distribution of χLF, and the pollution load index (PLI) was used to evaluate the degree of soil heavy metal pollution, and the correlation analysis between PLI and χLF was established。 The results showed that the average PLI of the seven heavy metals in the urban soil samples of Xining City was 2 34. Moderate pollution, Zn is the most important pollution factor. The average value of soil χLF was 125. 7 × 10-8m3 kg-1, which decreased from “northwest-southeast”, and the high-value area appeared in the northwest near Xining Special Steel along the line. The regression equation between soil heavy metal PLI and χLF was y=3.36E-06x2+0.01x+0.9092, showing a significant positive correlation (p<0.01). The χLF of surface dust can be used to evaluate the degree of heavy metal pollution of surface dust in Xining City: when the χLF of surface dust is ≤66.05 × 10-8m3 kg-1, it is pollution-free; When 66.05 × 10-8m3 kg-1<χLF≤437.332 × 10-8m3 kg-1, it is slightly polluted. When 437.332 × 10-8m3 kg-1<χLF≤652.02 × 10-8m3 kg-1, it is moderately polluted. When χLF > 652.02 × 10-8m3 kg-1, it is an intensity pollution.

The economic and environmental effects of China's environmental expenditure under financing constraints.

Sound ecological and environmental governance systems are critical for promoting green and low-carbon economic transformation and high-quality development. However, financing constraints are major obstacle to the revitalization and transformation of China's real economy. In this study, we constructed an environmental dynamic stochastic general equilibrium (E-DSGE) model that incorporates two types of environmental expenditure and financing constraints, and discussed their economic and environmental effects. Based on this, we further considered the impacts of financing constraints on policy effects. Firstly, we found that increases in carbon emission reduction subsidies in government expenditure (1) increase total economic output and (2) motivate enterprises to increase emission reduction efforts and reduce pollution intensity and emissions, thereby reducing the inventory of environmental pollutants while balancing economic benefits and emission reduction. Secondly, increasing the proportion of government special expenditure on environmental protection promote output growth and directly reduces the pollution stock in the environment. However, such policies may also reduce the emission reduction efforts of enterprises, leading to increases in their pollution emissions and intensity. Lastly, the existence of financing constraints is not conducive to the growth of total output but increases the pollution control effect of emission reduction subsidies and pollution prevention expenditure. Application of the E-DSGE model offers new theoretical insight into environmental economics and macroeconomics. Moreover, the results of this study provide a reference for optimizing the structure of fiscal expenditure.

Unravelling Bangalore's air quality during the second wave: Multifaceted analysis of COVID-19 lockdown impact

This study assesses the impact of the second wave COVID-19 lockdown (March–June 2021) on air pollution levels in Bangalore, India, using real-time data from eight CPCB monitoring stations across the city. This research endeavours to dissect the multifaceted impact of the 2021 ​s wave COVID-19 lockdown on Bangalore's air quality. Leveraging real-time data sourced from eight CPCB monitoring stations across the city, the study meticulously delves into diverse analyses to grasp the nuanced implications of the lockdown measures. It scrutinizes changes in six major pollutants: PM2.5, PM10, CO, NO2, SO2, and O3 during the 2021 lockdown compared to the same period in 2020. The comprehensive studies of different temporal scales were examined such as daily, weekly, and seasonal. The daily and weekly averages were computed to assess the percentage change in air pollutant concentrations during the March to June 2021 lockdown and pre-lockdown phases. The seasonal averages were derived to capture trends in seasonal variations. The examination of air pollution disparities across the city's eight monitoring stations (ST1 to ST8), unravelling localized variations and comprehending the spatial intricacies influencing air quality levels within Bangalore. The comparison of air pollution concentrations between the 2021 and 2020 lockdown periods, offering insights into relative changes in pollutant levels. The concentrations during the 2021 lockdown period (April 27 to June 14) significantly dropped compared to the pre-lockdown phase (March 9 to April 26) by considerable percentages across various pollutants: PM2.5 (45 %), PM10 (49 %), O3 (37 %), NO2 (41 %), SO2 (5 %), and CO (30 %). The comparative evaluation between air pollutant intensity changes during the common lockdown periods of the first wave (2020) and the second wave (2021) of COVID-19. This contiguity illuminates the shifts in pollution levels and underscores the differing dynamics of air quality between these distinct phases. This research provides comprehensive insights into air quality over Bangalore city during the second wave lockdown. The multifaceted analyses offer a detailed understanding of temporal, spatial, and comparative facets of air pollution dynamics, shedding light on the significant impact of COVID-19 restrictions on urban air quality.

A Review Of Perspectives From Earth Observation Data To Investigate The Effects Of COVID-19 On The Environment

Background: Earth observation data has established themselves as extremely useful and very diverse domains for research associated with space, spatio-temporal components, and geography. Following the outbreak of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) last December 2019 in China. This study aims to systematically review and synthetize perspectives from earth observation data to investigate the effects of COVID-19 on the environment. Material and Methods: A total of 41articles were first collected from four main digital databases including Web of Science, SCOPUS, PubMed/MEDLINE, and Google scholar. It will go on comprehensively review and synthesize applications of earth observation data in studies the COVID-19 impacts on environment. Specifically, the content is presented under three sub-sections; namely the use of earth observation data in (i) studies of impacts on water quality, (ii) studies of impacts on air quality, and (iii) studies of other impacts on the environment, respectively. Results: It was found that change in the intensity of air and water pollution after reduced anthropogenic activities around the world were captured by remote sensing – supplying concrete evidence that can help inform improved environmental policy during the COVID-19 pandemic. Conclusion: It can be concluded that the varied use of remote sensing techniques affirms the value of earth observation data to studies of infectious diseases to environment, especially in times of such large-scale disasters as the COVID-19 pandemic.

Does tourism development contribute to the green water-use efficiency of the Yellow River Basin in China?

The coordination between economic development as well as water resources conservation in ecologically fragile areas is the basis for achieving sustainable development in developing countries. Nonetheless, the existing literature pays little attention to such an issue. The purpose of this quantitative study is to explore the causal relationship between tourism development and green water-use efficiency in the Yellow River Basin (YRB) of China. The findings are as follows: (1) Tourism development can significantly enhance the green water-use efficiency in the YRB; For every 1% increase in tourism revenue, the green water-use efficiency will increase by 4.38%. (2) Tourism affects the green water-use efficiency by increasing the intensity of water pollution and decreasing the intensity of water use; For every 1% increase in tourism revenue, the green water-use efficiency will decrease by 0.2% and increase by 0.9% respectively by increasing the intensity of water pollution and decreasing the intensity of water use. (3) Strengthening environmental regulation and improving service facilities will further enhance the positive impact of tourism development; An increase of one standard deviation in the intensity of environmental regulation or one standard deviation in the level of service facilities will increase the impact of tourism on green water-use efficiency by 1.1% or 1.7%, respectively. The aforementioned findings provide enlightenment for effectively promoting the coordination between economic development and water resources protection in ecologically fragile areas of developing countries.

Household air pollution could make children grow shorter in sub-Saharan Africa; but can households help stem the tide on their own?

Recently, there has been growing research interest in the influence of household air pollution on child health. Despite the increasing advocacy for households to switch from the use of polluting cooking fuels due to climate change and health-related concerns, the practice is still prevalent in Sub-Saharan Africa (SSA). The intensity of household air pollution exposure and its influence on child stunting and wasting of children is an important, but understudied, cause for public health concern. Identifying the health effects of polluting fuels, for instance, could stimulate a speedy transition to clean energy. This study, therefore, examines the association between the intensity of household air pollution exposure and child stunting and wasting of children using data from the most recent demographic and health surveys (DHS) from 33 countries in SSA using linear probability modeling. Results show that high levels of intensity of air pollution within households are associated with increased stunting probability of 2.9% − 3.2%. The findings highlight a potential negligible cost measure households can adopt to limit the intensity of pollution they are exposed to and consequently, to reduce the faltering growth in children.

Tracking industry pollution sources and health risks in China

Agglomeration of firms significantly increases pollution emission intensity and brings unintended consequences to public health. We develop the pollution emission indices using the firm-level pollutant emission data in China to track pollution intensities at the source using the locally weighted regression approach. Our constant-quality pollutant emission indices for three pollutants (wastewater discharge, COD, and SO2) and the pollution emission heatmaps show decreasing trends for the three pollutants from 1998 to 2012. We also show significant spatial clustering and regional variations in pollution emission trends. Industrial pollution mitigations in China's Eastern and Central regions have been neglected for decades since 2021, when driving economic growth took priority. The regime shifts in pollution controls from the 10th (2000–2005) to the 11th (2006–2010) Five-Year Plan period show the effects of tightening pollution emission controls. Failure to cut pollution emissions at source causes health consequences to residents living and working in nearby polluting industries. The latent environmental hazard could be a ticking time bomb, which could not be delinked from the emergence of cancer villages in the regions. Therefore, enforcing strict and uniform pollution controls and setting clear emission limits at sources can eliminate free-rider problems by polluting firms.

Mercury bioaccumulation in bats in Madre de Dios, Peru: implications for Hg bioindicators for tropical ecosystems impacted by artisanal and small-scale gold mining.

Mercury (Hg) endangers human and wildlife health globally, primarily due to its release from artisanal small-scale gold mining (ASGM). During gold extraction, Hg is emitted into the environment and converted to highly toxic methylmercury by microorganisms. In Madre de Dios (MDD), Peru, ASGM dominates the economy and has transformed rainforests into expansive deforested areas punctuated by abandoned mining ponds. The aim of this study was to evaluate the use of bats as bioindicators for mercury pollution intensity in tropical terrestrial ecosystems impacted by ASGM. We collected 290 bat fur samples from three post-ASGM sites and one control site in Madre de Dios. Our results showed a wide Hg distribution in bats (0.001 to 117.71 mg/kg) strongly influenced by feeding habits. Insectivorous and piscivorous bats from ASGM sites presented elevated levels of Hg surpassing the mercury small mammal threshold for small mammals (10 mg/kg). We observed the highest reported fur mercury concentrations for insectivorous Neotropical bats reported to date (Rhynchonycteris naso, 117 mg/kg). Our findings further confirm that Hg emissions from ASGM are entering local food webs and exposing wildlife species at several trophic levels to higher levels of Hg than in areas not impacted by mining. We also found that three bat genera consistently showed increased Hg levels in ASGM sites relative to controls indicating potential usefulness as bioindicators of mercury loading in terrestrial ecosystems impacted by artisanal and small-scale gold mining.

Assessment of heavy metals contamination and ecological risk of roadside agricultural soil, used for sunflower (Helianthus annuus L.) cultivation

The present study is an attempt for comprehensive assessment of the pollution intensity and corresponding ecological risk of heavy metals including Cd, Co, Cr, Cu, Fe, Ni, Pb, Zn and Sb for agricultural soil, located alongside the national road II-81 in Bulgaria, used for the sunflower (Helianthus annuus L.) cultivation, by various factors and indices calculation. In total, 18 surface soil samples (0 - 20 cm depth) were collected at distances 11 m, 36 m and 61 m from the road edge at two sunflower plants’ growth stages: vegetative (V-3) and maturity (R9). The total concentrations of heavy metals of soil samples, collected at two different sunflower growth stages were used for assessment of the potential ecological risk. Based on the results for the potential ecological risk index, pollution load index, enrichment factor, contamination factor and the degree of contamination, calculated from the average total concentrations, considerable pollution of the tested agricultural soil was observed, mainly with Sb. The values of enrichment factor show that with the exception of Fe, Cr and Ni the rest of the tested heavy metals are mostly from anthropogenic sources. There are strong, not statistically significant correlations between the enrichment factors, ecological risk index, pollution load index and contamination degree and the distance from the road edge and strong correlations between enrichment factors of heavy metals related to the road traffic emissions and the distance from the road edge. The values of the factors and indices above mentioned are lower at the growth stage R9 than at the growth stage V-3 that shows the sunflower capacity of accumulation of the tested heavy metals.

Investigation of Sediment Pollution in the Gulf of Elefsina Using Environmental Indicators

In this paper, the sediment pollution in the Gulf of Elefsina, over the period 1986-2010, has been measured and presented. The pollution had been measured regarding heavy metals, like cadmium (Cd), chromium (Cr), copper (Cu), iron (Fe), lead (Pb), manganese (Mn), nickel (Ni) and zinc (Zn). Initially, the measured area is presented, along with the sources of pollution in the historical background and the wider region. Three pollutant indicators had been calculated for the investigation of Sediment Pollution: The Pollution Load Index (PLI), the Enrichment Factor (EF) and the Geo-accumulation index (Igeo). The results of the Pollution Control and Environmental Quality Office measurements had been used for the calculation of these indicators, taken at six locations of the coast and three locations in the center of the Gulf of Elefsina. The study of these indicators reveals that there is heavy metal pollution at all sampling locations, while the most heavily affected areas of the Gulf are these near Skaramangas Shipyards and Elefsis Shipyards. More intense pollution is recorded for Cd, Cu, Fe, Pb, Zn. More specifically, high values of Cd had been measured at all sampling points, while for Cu, Fe, Pb and Zn high values had been measured in areas that are active in shipbuilding-repair and dismantling units. In contrast, there is no pollution for Mn.

Environmental Degradation and Economic Growth: A Longitudinal Analysis Across Different Income Group Countries

This study attempts to analyse the relation of ecological footprint (EF) and air pollutants—CO2, N2O, SO2 and CH4—with economic growth, urbanisation, foreign direct investment and energy consumption through environmental Kuznets curve (EKC) framework by employing fixed/random effect model. It involves a panel of 55 selected countries from several income groups—high, middle and low—covering the period 1990–2018. A theoretical approach has been developed to analyse the pollution intensity of population, based on decomposition analysis coherent with application of the notion of Kaya identity. The results confirmed the existence of inverted U-shaped relationship for EF and SO2 in all types of countries. The pollutants—CO2, N2O and CH4—exhibit inverse U-shaped EKC in middle- and low-income countries. Only for high-income countries, N2O model detects the existence of U-shaped curve. The study suggests that reconsideration of some economic and environmental policies is necessary to mitigate environmental degradation issues. JEL Codes: Q54, O4, O21, Q43, Q56

Do cleaner production standards upgrade the global value chain position of manufacturing enterprises? Empirical evidence from China

The harmonious development of trade and environment is extremely crucial for developing countries that face challenges posed by extensive economic models and environmental pollution as they strive to engage more deeply in the global economy. This article utilizes micro-level data from the Chinese Industrial Enterprises Database (CIED) and the Chinese Customs Trade Database (CCTD) from 2000 to 2012. It takes China's implementation of cleaner production standards (CPS) since 2003 as a quasi-natural experiment and applies staggered DID to investigate the impact and mechanisms of exogenous shocks from environmental policies on upgrading and transformation of enterprise value chains. The aim is to provide comprehensive empirical evidence regarding the availability of environmental regulations and the GVC position of Chinese enterprises. Thus, we also offer valuable insights for similar developing countries seeking a path toward high-quality advancement. The research findings are as follows. First, CPS exerts a significant upgrading effect on enterprise value chains, and this conclusion is highly robust. Second, heterogeneity analysis reveals that the upgrading effect of CPS on value chains is predominantly influenced by factors including the enterprise's asset scale, ownership structure, geographical location, trade pattern, as well as the technological level and pollution intensity within its specific industry. Third, further tests through mechanism analysis reveal that CPS expedited the integration of Chinese manufacturing enterprises in GVC by promoting innovation and R&D capabilities, enhancing total factor productivity, and improving labor wages.