An Analysis of the Impact of China’s Pollution Reduction Policy on Sulfur Dioxide Emissions

2015 ◽  
Vol 6 (4) ◽  
pp. 367 ◽  
Author(s):  
Ka Young Kim ◽  
Jae Seung Lee
2019 ◽  
Vol 10 (2) ◽  
pp. 137-156 ◽  
Author(s):  
Ke Wu

Abstract In this paper, we used the panel smooth transition model (PSTR) to study the nonlinear relationship between sulfur dioxide emissions and economic growth in the three regions of China’s eastern, middle and western regions, based on panel data from 31 provinces and autonomous regions in China from 2005 to 2017. And calculated the elasticity of the impact of total export-import volume and urbanization rate on emissions. The empirical results indicate that economic development and sulfur dioxide emissions are positively correlated in the three regions of East, Middle and West. In the eastern region, when the economic scale is lower than the threshold value, it has a negative impact on SO2 emissions; but when it is higher than the threshold value, it has a positive impact on SO2 emissions, and the smoothing rate between the two regime is slow. The per capita GDP in the middle and western regions is weakly positively correlated with SO2 emissions. When the economic scale reaches the threshold value, its positive impact on SO2 emissions will increase, and economic development will further increase emissions.


2022 ◽  
Vol 9 ◽  
Author(s):  
Zumian Xiao ◽  
Lu Yu ◽  
Yinwei Liu ◽  
Xiaoning Bu ◽  
Zhichao Yin

How to utilize financial instrument to deal with environmental issues has been a focal topic. Taking the introduction of green credit program as a “quasi-natural experiment,” the propensity score matching and difference-in-difference approach (PSM-DID) are used to investigate the impact of the green credit policy implemented by Chinese government on firm-level industrial pollutant emissions. The estimation results indicate that the green credit policy significantly reduces corporate sulfur dioxide emissions. Heterogeneity analysis shows this impact is more pronounced for large-scale enterprises and enterprises located in the eastern region. The estimated mediation models reveal that after the implementation of the green credit policy, reduction in sulfur dioxide emissions can be attribute to the increased environmental investment and improved energy consumption intensity. Moreover, the green credit policy is also significantly effective in mitigating the discharge of other common industrial pollutants. Our findings highlight the importance of green credit policies in achieving greener industrial production and more sustainable economic development.


2011 ◽  
Vol 26 (2) ◽  
pp. 77-100
Author(s):  
Wu Yu Jia

In order to control sulfur dioxide (SO2) emissions, the Chinese government in 1998 implemented the Acid Rain and Sulfur Dioxide Emission Control Zones policy (known as the Two Control Zone or TCZ policy). In a panel analysis of the impact of the TCZ policy on China`s industrial SO2 emissions, two-way fixed-effects models show that it did not significantly reduce either per capita SO2 emissions or SO2 intensity in China. The study also reveals that instead of the traditional inverted U-shaped Environmental Kuznets Curve, the relationship between income growth and sulfur pollution in China favors an N-shaped pattern. The empirical results indicate that the TCZ policy has not had a consistent, longterm impact on sulfur pollution control. This is in accord with previous studies and the actual situation in the two control zones. This paper presents two policy recommendations for improving the mitigation of SO2 pollution in China.


Author(s):  
Takeshi Mizunoya ◽  
Noriko Nozaki ◽  
Rajeev Kumar Singh

AbstractIn the early 2000s, Japan instituted the Great Heisei Consolidation, a national strategy to promote large-scale municipal mergers. This study analyzes the impact that this strategy could have on watershed management. We select the Lake Kasumigaura Basin, the second largest lake in Japan, for the case study and construct a dynamic expanded input–output model to simulate the ecological system around the Lake, the socio-environmental changes over the period, and their mutual dependency for the period 2012–2020. In the model, we regulate and control the following water pollutants: total nitrogen, total phosphorus, and chemical oxygen demand. The results show that a trade-off between economic activity and the environment can be avoided within a specific range of pollution reduction, given that the prefectural government implements optimal water environment policies, assuming that other factors constraining economic growth exist. Additionally, municipal mergers are found to significantly reduce the budget required to improve the water environment, but merger budget efficiency varies nonlinearly with the reduction rate. Furthermore, despite the increase in financial efficiency from the merger, the efficiency of installing domestic wastewater treatment systems decreases drastically beyond a certain pollution reduction level and eventually reaches a limit. Further reductions require direct regulatory instruments in addition to economic policies, along with limiting the output of each industry. Most studies on municipal mergers apply a political, administrative, or financial perspective; few evaluate the quantitative impact of municipal mergers on the environment and environmental policy implications. This study addresses these gaps.


2008 ◽  
Vol 177 (3) ◽  
pp. 725-733 ◽  
Author(s):  
Dawn Sweeney ◽  
Philip R. Kyle ◽  
Clive Oppenheimer

Science ◽  
1975 ◽  
Vol 189 (4199) ◽  
pp. 253-253 ◽  
Author(s):  
P. H. Abelson

Author(s):  
Titik Istirokhatun ◽  
Ita Tetriana Agustini ◽  
Sudarno Sudarno

The  presence  of  air  pollution  in  ambient  air  is  closely  related  to  the incidence  of  adverse reactions affecting human health. One of harmful pollutants and potentially major cause health problems is sulfur dioxide (SO 2 ). The number of vehicles that are passing and queuing on the crossroads  because  of  traffic light can  affect  the  concentration  of  SO 2 .  Besides,  in  these locations  there  are a lot of road users  which  are  potentially  exposed  by  contaminants, so information about the concentration of SO 2  is important to know. This study aimed to investigate the  impact  of  meteorological  factors  and  the  number  of vehicles  on  SO 2   concentrations. Impinger was used for air sampling, and pararosaniline method was used for determining SO 2  concentration. Sampling and calculation  of the number of passing vehicles were performed 3 times ie in the morning, afternoon and evening. Based on the results of the study, the highest concentrations of SO 2  were on the range of 15-21 mg/Nm3.


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