Environmental sustainability: a clean energy aspect versus poverty

Environmental Science and Pollution Research - Poverty reduction and environmental sustainability are the two significant challenges the world needs to cope with in the twenty-first century...     

Renewable energy and greenhouse gas emissions from the waste sectors of European Union member states: a panel data analysis

In the last two decades, there has been a rich debate about the environmental degradation that results from exposure to solid urban waste. Growing public concern with environmental issues has led to the implementation of various strategic plans for waste management in several developed countries, especially in the European Union. In this paper, the relationships were assessed between economic growth, renewable energy extraction and greenhouse gas (GHG) emissions in the waste sector. The Environmental Kuznets Curve hypothesis was analysed for the member states of the European Union, in the presence of electricity generation, landfill and GHG emissions for the period 1995 to 2012. The results revealed that there is no inverted-U-shaped relationship between income and GHG emissions in European Union countries. The renewable fuel extracted from waste contributes to a reduction in GHG, and although the electricity produced also increases emissions somewhat, they would be far greater if the waste-based generation of renewable energy did not take place. The waste sector needs to strengthen its political, economic, institutional and social communication instruments to meet its aims for mitigating the levels of pollutants generated by European economies. To achieve the objectives of the Horizon 2020 programme, currently in force in the countries of the European Union, it will be necessary to increase the share of renewable energy in the energy mix.     

Effects of urbanization and nonrenewable energy on carbon emission in Africa

This study investigates the impact of urbanization and nonrenewable energy consumption on carbon emissions. The context of the analysis is 54 African Union countries from 1996 to 2019. For estimation, we use panel quantile regression (PQR) and fully modified ordinary least squares (FMOLS). Our regression results demonstrate that there is a positive correlation between urbanization and CO₂ emission. Further, our empirical results confirmed that nonrenewable energy consumption increases environmental pollution in African Union countries. The outcomes demonstrate the EKC hypothesis because at the initial stage of development, when economic growth increases, environmental pollution increases; after a threshold point, environmental pollution decreases as economic growth increases. It can find an inverted U-shaped relationship between economic growth and CO₂ emission. The findings also show that urbanization should be planned; otherwise, it can lead to environmental degradation in the long run. Africa continent takes strict action and builds a blueprint for efficient and effective energy production and consumption. The only solution to achieve green growth in Africa is to shift from fossil fuel energy supply to renewable energy supply.

     

Asymmetric investigation to track the effect of urbanization,energy utilization,fossil fuel energy and CO2 emission on economic efficiency in China: another outlook

Environmental Science and Pollution Research - The accelerated urbanization in China was already coupled with a steadily increasing demand for energy usage. The present study major aim was to...     

Modelling the interaction between tourism,energy consumption,pollutant emissions and urbanization: renewed evidence from panel VAR

Environmental Science and Pollution Research - In less than two decades, the global tourism industry has overtaken the construction industry as one of the biggest polluters, accounting for up to 8%...     

Non-linear relationship between tourism,economic growth,urbanization, and environmental degradation: evidence from smooth transition models

Environmental Science and Pollution Research - The study aims to analyze two objectives: first is to explore the non-linear relationship between tourism development, economic growth, urbanization,...     

Environmental protection and energy efficiency improvement by using natural gas fuel in maritime transportation

Environmental Science and Pollution Research - Emissions from vessels are a major environmental concern because of their impacts on the deterioration of the environment, especially global warming...     

Pollutant emission effect of tourism,real income,energy utilization,and urbanization in OECD countries: a panel quantile approach

Environmental Science and Pollution Research - Although the Organization for Economic Co-operation and Development (OECD) member countries are largely regarded as a high human development index and...     

城镇化建设对旅游资源的影响及策略探讨

分析了城镇化建设对旅游资源的影响,提出了城镇化建设对旅游资源的保护措施,并研究了城镇化建设与旅游资源开发利用中需注意的问题.在旅游的产业链条上,把环境资源作为利益相关者的必然组成,从而实现旅游的可持续发展.     

Temporal and spatial variations in the relationship between urbanization and water quality

With the development of economy, most of Chinese cities are at the stage of rapid urbanization in recent years, which has caused many environmental problems, especially the serious deterioration of water quality. Therefore, the research of the relationship between urbanization and water quality has important theoretical and practical significance, and it is also the main restriction factor in the urbanization advancement. In this work, we investigated the impact of urbanization on the water quality of the nearby river. We established a comprehensive environmental assessment framework by combining urbanization and water quality, and one model was designed to examine the impact of urbanization on the water quality in Jinan from 2001 to 2010 with factor component analysis. The assessment of urbanization level was accomplished using a comprehensive index system, which was based on four aspects: demographic urbanization, economic urbanization, land urbanization, and social urbanization. In addition, synthetic pollution index method was utilized to assess the water pollution of Xiaoqing River in the study area. Through the analysis of regression curves, we conclude that (1) when the urbanization level is below 25 %, the relationship is low and irregular; (2) if the urbanization level varies between 25 and 40 %, there will be an irreversible degradation of stream water quality; (3) there is a positive correlation between urbanization and pollution levels of urban river after the adjustment period; and (4) land and demographic aspects have the highest independent contribution. This study is a useful reference for policymakers in terms of economic and environmental management.     

福州市城市化进程与大气污染关系研究

以福州市为研究区域,选取福州市1996—2012年的时间序列数据,将大气污染物浓度作为被解释变量,城市化水平作为解释变量,分别设定二次曲线模型和三次曲线模型,通过比较PM10、SO2、NO2浓度与城市化水平的二次曲线和三次曲线模型的回归拟合效果,得出福州市大气污染与城市化水平之间的演化规律。结果表明,1996—2012年,福州市城市化水平平稳上升,城市的大气污染程度与城市化水平之间的关系并不完全符合"倒U型"的环境库兹涅茨曲线,不同的污染物类型具有不同的演化规律。PM10、SO2与城市化水平呈"倒N型"的曲线关系;NO2与城市化水平之间呈现"倒U型"曲线关系。由于研究的时间序列较短,因而研究结果可能只是真实曲线的一部分,福州市的大气污染与城市化水平之间的关系还有待进一步研究。     

Policy insight from renewable energy,foreign direct investment (FDI), and urbanization towards climate goal: insight from Indonesia

This study is premised on Indonesia’s climate goal amidst good economic performance. To test the environmental implication of this macroeconomic performance of Indonesia, we adopt Indonesian quarterly data of 1990Q1–2018Q4 for empirical analysis. Relevant instruments in the economic performance of Indonesia such as urbanization, foreign direct investment (FDI), and renewable energy source are all adopted for accurate estimations and analysis of this topic. Different approaches (structural break test, autoregressive distributed lag (ARDL)-bounds testing and Granger causality) are all adopted in this study. Our analysis and policy recommendations are based on the short-run and long-run ARDL dynamics and Granger causality. Findings from ARDL confirmed negative relationship between carbon emission and renewable energy source, FDI, and urbanization. Also, a U-shape instead of inverted U-shaped EKC is found confirming the impeding implication of Indonesian economic growth to its environmental performance if not checkmate. From Granger causality analysis, all the variables are seen transmitting to urbanization in a one-way causal relationship. Also, FDI and renewable energy prove to be essential determinants of the country’s environment development; hence, FDI is seen transmitting to both energy sources (fossil fuels and renewables) in a one-way causal relationship. Renewable energy is as well seen having two ways causal relationship with both carbon emission and fossil fuels. This result has equally exposed the significant position of the three instruments (urbanization, FDI, and renewable energy source) in Indonesian environment development.

     

沿海地区城镇化与生态环境协调发展的时空分析

通过构建城镇化与生态环境协调发展的综合评价指标体系,运用熵值法、协调度模型,对2003—2012年中国沿海地区的城镇化与生态环境发展过程及其协调程度进行时空分析。结果表明:(1)沿海地区城镇化综合指数不断提高,空间城镇化年均发展速度快于人口城镇化,而人口城镇化又快于生活城镇化,经济城镇化最低,且呈现出明显的区域集聚性特征。(2)生态环境综合指数呈波动上升趋势,生态环境压力加大,城镇化地区面临的生态环境问题更多。(3)2003—2005年,城镇化与生态环境协调度等级为中度失调,2006—2012年为轻度协调。     

Environmental pollution,energy import,and economic growth: evidence of sustainable growth in South Africa and Nigeria

Environmental Science and Pollution Research - Simultaneous achievement of sustainable development goals (SDGs), especially energy efficiency (SDG 7), economic growth (SDG 8), and pollution...     

环境监测在环境影响评价中的作用分析

在新时期,环境保护工作的发展面临着新的机遇和挑战。环境监测贯穿于整个环境影响评价体系之中,即环境影响评价中的评价初期、建设期、运行期以及后评价期,均需环境监测数据来支撑,因此,环境监测是环境影响评价的技术基础,同时还具有较强的监督功能。     

Environmental impacts,human health,and energy consumption of nitrogen management for maize production in subtropical region

Environmental Science and Pollution Research - Over-application of fertilizers could not improve crop yield and agronomic efficiency, but result in increasing nitrogen (N) surplus and adverse...     

Improvement of receptor model use in analytical aspect

In this study, four certified particle standards including NIST SRM 1648 urban particulate matter, BCR Reference Material No. 176 city waste incineration ash, NIST SRM 2709 San Joaquin soil, and NIST SRM 1633b coal fly ash were used to simulate ambient particulate matter. Twenty-five samples were prepared with the four certified particulate standards. A total of 23 elements were analyzed per sample, 19 by ICP-AES and ICP-MS, three by IC, and one element, Si, by spectrophotometer. Results showed that combining the three IC-analyzed ionic species with the 19 ICP-AES/MS analyzed elements into the CMB model did not improve the source identification significantly. In addition, when all 23 analyzed chemical species per sample were used in the CMB model, they were still not good enough to effectively make the parameters of the CMB model fit the statistical criteria. Some of high variation and low recovery chemical species, i.e. Cd, V, Sb, etc., may have caused poor CMB model simulation. Omitting some poor quality analyzed species (such as relative analysis error >20%) could improve the CMB model simulation. Therefore, high quality chemical species data are important for the CMB model. In addition, co-linearity of source profiles also affects the CMB model; combining the co-linear sources could enhance the solubility of the CMB model. In this study, a two-step procedure was developed for CMB model simulation to improve source identification.     

PCDD/Fs and PCBs in butter samples from new European Union member states and a candidate country: analytical quality control, results and certain PCB-specific aspects

Milk and milk products have shown to be good indicator samples for the contamination of persistent organic pollutants (POPs) along the food chain. To gather information on whether exposure to dioxins and PCBs might cause a problem in countries about to join the European Union in 2004 or later, a study for evaluation of dioxin and levels of PCBs in 16 butter samples from eight countries (Cyprus, Czech Republic, Estonia, Lithuania, Poland, Romania, Slovenia and Slovakia) was performed. Comprehensive quality assurance/quality control (QA/QC) was requested. For this, eight quality control samples were included (in comparison to long-term mean, mean recovery for WHO-PCDD/F-TEQ of 97.9% with a CV of 3.0%, mean recovery for WHO-PCB-TEQ of 100.4% with a CV of 3.3%). Additionally, all butter samples were run as duplicates resulting in a confidence region of 95% statistical certainty of 4.6% for WHO-PCDD/F-TEQ and of 3.5% for WHO-PCB-TEQ. All samples except one from Romania were in the range of 0.21-0.59 pg WHO-PCDD/F-TEQ/g fat (upper bound), all samples except one from Romania and one from Estonia in the range of 0.32-0.82 pg WHO-PCB-TEQ/g fat (upper bound) and all samples except one from Romania and one from Estonia in the range of 0.57-1.23 pg sum WHO-TEQ/g fat (upper bound). The maximum values were found in samples from Romania (0.98 pg WHO-PCDD/F-TEQ/g fat; 1.75 pg WHO-PCB-TEQ/g fat) and Estonia (0.26 pg WHO-PCDD/F-TEQ/g fat; 1.62 pg WHO-PCB-TEQ/g fat). As a conclusion, all samples except one from Romania and one from Estonia were in the range of the actual low background contamination for PCDD/F and dioxin-like PCBs. The samples with elevated concentrations were below the EU action and maximum levels which have been valid since 2002, or will be applied from November 2006. In all samples except in one from Estonia, the contribution of dioxin-like PCBs to sum WHO-TEQ was 47-68% which reflects the usual range in Europe. In one sample from Estonia this contribution was 86% which points to a particular yet unknown PCB source. Thirty eight PCB congeners were determined allowing a detailed discussion of the relative contribution of individual congeners to the total PCB concentration. Correlation between PCB 153 and WHO-PCB-TEQ varied considerably between samples from different countries. Major tetra- or pentachlorinated mono-ortho PCBs without assigned TEFs were PCBs 60, 66, 74, and 110.