The spatial effect of fiscal decentralization on haze pollution in China

Environmental Science and Pollution Research - The fiscal decentralization system under China’s political centralization affects local economic and environmental policies, and thus has an...     

The spatial spillover and threshold effect of green finance on environmental quality: evidence from China

Environmental Science and Pollution Research - Green finance is a priority for alleviating environmental degradation pressures. Based on panel data of 30 provinces in China from 2009 to 2017, this...     

Analysis of the spatial effect of outward foreign direct investment on air pollution: evidence from China

Environmental Science and Pollution Research - Outward foreign direct investment (OFDI) plays a pivotal role in the strategy to build a high-level and open economy. This research used spatial panel...     

Polycentric agglomeration and haze pollution: evidence from China

Polycentric agglomeration has gradually become a salient feature of rapid growth in urbanization in China. Using province-level balanced panel data over the period 2000–18, we examine the impact of polycentric agglomeration on haze pollution and its mechanism of action. The results show that the impact of polycentric agglomeration on haze pollution exhibits a significant inverted U-shaped feature. Nevertheless, except for a few provinces where polycentric agglomeration exceeds the turning point, the degree of polycentric concentration in most provinces lies to the left of the turning point. Further, a mediating effect model illustrates that industrial structure rationalization and technological progress are effective paths through which polycentric agglomeration affects haze pollution. Finally, we demonstrate that the effect of polycentric agglomeration on haze pollution is influenced by transportation and communication infrastructure; improved transportation and communication infrastructure contributes to the haze control effect of polycentric agglomeration.

     

Association between particulate matter pollution and the incidence of mumps in 31 provinces from China

Environmental Science and Pollution Research - Previous studies have found that particulate matter (PM) pollution is a risk factor for respiratory disease by affecting body’s immunity and...     

Air pollution and post-COVID-19 work resumption: evidence from China

Environmental Science and Pollution Research - To cope with the coronavirus disease (COVID-19), national or sub-national regions have carried out many powerful anti-pandemic measures such as...     

A spatial temporal assessment of pollution from PCBs in China

This research represents an assessment of the current state of pollution from polychlorinated biphenyls (PCBs) in China. Various environmental media including sediment, water, organism and soil were analyzed and the spatial character of PCB pollution in each environmental medium was determined. On a national basis, PCB levels in all environmental media were relatively low, with little evidence of major contamination in China's main regions and rivers. However, there were some locations with high PCB concentrations. Sediments in Pearl River (83.1 ng/g) and its estuary (58.9 ng/g), Dalian Bay (58.1 ng/g) and Songhua River (36.8 ng/g) had relatively high level of PCBs. There were also some areas, which were mainly the industrial pollution sites or PCB equipment storage locations, remained seriously polluted with the highest PCB residue level of 150,000 ng/g. In addition, Minjiang Estuary (985.2 ng/g) and Taihu Lake (631 ng/g) had high levels of water pollution, while Pearl Estuary (635.7 ng/g) and Jiaozhou Bay (273.3 ng/g) had relatively high PCB levels in organisms. PCB pollution in soil was limited to a few special pollution areas with the highest PCB level of 4.5448 x 10(6) ng/g. Point source pollution was the common pattern of contamination, influenced primarily by local geographic, economic and historical factors. Analysis of PCB concentrations from the 1980s to 1990s shows an increasing trend, possibly due to the improper disposal of and leakage from PCB containers, chemical transfers, and the general rise of industrial pollution.     

Exploring the spatial pattern of renewable energy technology innovation: evidence from China

Environmental Science and Pollution Research - Considering the obvious regional differences in China, research on the drivers for renewable energy technology innovation (RETI) needs to fully...     

Have driving restrictions reduced air pollution: evidence from prefecture-level cities of China

Environmental Science and Pollution Research - With rapid economic development, air pollution became a serious problem in China. Vehicle’s exhaust emissions are among the main sources of air...     

Industrial digitization and synergy between pollution and carbon emissions control: new empirical evidence from China

Industrial digital transformation is a key engine to help developing countries reduce pollution and carbon emissions. We used the composite system synergy model (CSSM) and modified entropy weight method to measure the degree of synergy between pollution and carbon emissions control (SPCEC) and the level of industrial digitization in each province and city based on the Chinese inter-provincial panel data from 2011 to 2020. We then used the two-way fixed effects and panel quantile regression models to test the heterogeneous influence of industrial digitization on the SPCEC. We found that: (1) industrial digitization had a positive contribution to the SPCEC. (2) Digitization of industry contributes more to the SPCEC level than the digitization of agriculture and services. (3) The promotion of SPCEC by industrial digitization is significant in the western region, but not in the eastern, central and northeastern regions. (4) In provinces and municipalities with lower level of SPCEC, the contribution of industrial digitization to the SPCEC is higher. This paper reveals the impact of industrial digitization on the SPCEC and can provide a policy reference for the realization of the SPCEC from the perspective of the integration of industry and digitization.

     

Air pollution and hospitalization in megacities: empirical evidence from Pakistan

Environmental Science and Pollution Research - Air pollution has become a threat to human health in urban settlements, ultimately leading to negative impacts on overall economic system as well....     

Benefits of environmental information disclosure in managing water pollution: evidence from a quasi-natural experiment in China

Environmental Science and Pollution Research - Environmental information disclosure (EID) is playing an increasingly important role in water pollution management. However, since EID is hard to...     

唐山市工业区大气污染对小学生肺功能的影响

探讨了工业区大气污染对小学生肺功能的影响。在唐山市工业区和相对清洁区选取452名小学生为研究对象,进行肺功能的测定和问卷调查。用多元回归分析建立模型后,以实测值占预计值的百分比为统计量进行分析。调查结果显示小学生肺功能指标中MVV、V25污染区低于对照区,VC、FEV、V25、V50的异常率高于对照区,且与大气中SO2的浓度有关。     

Carbon dioxide emissions,urbanization level,and industrial structure: empirical evidence from North China

Environmental Science and Pollution Research - This paper aims to examine the nexus among carbon dioxide (CO2) emissions, urbanization level and industrial structure in North China over the period...     

Top-runner incentive scheme in China: a theoretical and empirical study for industrial pollution control

Environmental Science and Pollution Research - Pollution control policies have achieved remarkable results in China. However, industrial firms still lack enthusiasm for technological innovation to...     

Dynamic effects of fiscal and monetary policy instruments on environmental pollution in ASEAN

Environmental Science and Pollution Research - This study aims to re-examine the impacts of monetary and fiscal policy on environmental quality in ASEAN countries from 1990 to 2019. We utilized the...     

Exploring the dynamic effects of shocks in monetary and fiscal policies on the environment of developing economies: evidence from the CS-ARDL approach

Environmental Science and Pollution Research - The literature review of ample body indicates that the majority of the studies rely on a single proxy, while exploring the determinants of...     

Effects of the spatial resolution of urban drainage data on nonpoint source pollution prediction

Environmental Science and Pollution Research - Detailed urban drainage data are important for urban nonpoint source (NPS) pollution prediction. However, the difficulties in collecting complete...     

中国工业水污染及其成因的de Bruyn模型分析

选取废水、挥发酚、氰化物、COD、石油类和氨氮为中国工业水污染指标,利用分解分析方法将2004—2010年间的污染变化分解为规模效应、结构效应、污染治理效应、清洁技术效应和广义技术效应。结果显示,这5类效应的平均作用强度分别为2.08%、3.04%、15.61%、17.37%和32.88%,其中规模效应和广义技术效应是影响工业水污染的主导效应。各类效应对不同污染物的作用方向并不完全一致,规模效应促进污染物排放量的增加;结构效应以加重污染为主,污染治理效应和清洁技术效应以减轻污染为主;广义技术效应的平均作用强度和负向作用概率均最大,是现阶段中国工业水污染控制最为有效的手段。