Decoupling and decomposition analysis of industrial sulfur dioxide emissions from the industrial economy in 30 Chinese provinces

Qian, Yuan; Cao, Hui; Huang, Si-Min

doi:10.1016/j.jenvman.2020.110142

Cited by 54 publications

(22 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The distribution pattern of SO 2 emissions among the studied cities is basically consistent with that of industrial output values. This is in accordance with the previous studies [48]. Through the coupling analysis, it was found that the development of the industrial economy in the central region of Henan province did not result in the same degree of growth of SO 2 emissions.…”

Section: Discussionsupporting

confidence: 92%

Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO2 Emissions Based on Niche Theory: Taking Henan Province as an Example

Zhang

Lee

et al. 2020

Sustainability

View full text Add to dashboard Cite

Industrial development is critical in improving a nation’s economy and in how it consumes energy resources. However, such development often causes environmental problems. Among others, the haze caused by industrial SO2 emissions is particularly prominent. Based on Niche theory and combined with Exploratory Spatial Data Analysis (ESDA, a decoupling index model, and a Logarithmic Mean Divisia Index (LMDI) factor decomposition model, this paper reports a study on the spatio-temporal distribution and the driving factors of industrial development and industrial SO2 emissions of cities in Henan, China between 2005 and 2014. The results showed that over the studied period in Henan: (1) SO2 emissions reduced by 4.56 × 105 tons and showed a slowly decreasing trend, which gradually transitioned to a “green health” industrial structure in Henan cities; (2) studied cities with high and low industrial niche values (0.038–0.139) showed an absolute decoupling relationship between industrial development and industrial SO2 emissions; (3) except for Zhengzhou city and Hebi city, other studied cities showed a trend of gradually increasing industrial output; (4) along with increases in the values of industrial output, studied cities showed increased levels of SO2 emissions but with energy intensity and energy structure showing a fluctuating trend of increases and decreases in their contributions to SO2 emissions; and (5) the energy consumption intensity and environmental technology were critical factors that were conducive to industrial SO2 emissions and the evolving industrial structure. These findings are important for the control of industrial SO2 emissions, though the levels of their influences are different in different cities. The scale of industrial production and the composition of energy structure in a region could lead to further deterioration of industrial SO2 emissions in the future.

show abstract

Section: Discussionsupporting

confidence: 92%

Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO2 Emissions Based on Niche Theory: Taking Henan Province as an Example

Zhang

Lee

et al. 2020

Sustainability

View full text Add to dashboard Cite

show abstract

“…Although all three methods are workable, they have some limitations. The OECD decoupling factor model cannot distinguish the decoupling states in an expanding and recessive economy [ 21 ]; the VA method cannot distinguish between non-decoupling and re-decoupling [ 22 ]; and the TEA method defines much decoupling states. Wu et al summarized these decoupling methods and compared their advantages and disadvantages; the result showed that the TEA model was more accurate and not limited by the length of time [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO2 Emissions in China

Wang

Shi

Chen

et al. 2020

IJERPH

View full text Add to dashboard Cite

China has a fast-growing economy and is one of the top three sulfur dioxide (SO2) emitters in the world. This paper is committed to finding efficient ways for China to reduce SO2 emissions with little impact on its socio-economic development. Data of 30 provinces in China from 2000 to 2017 were collected to assess the decoupling relationship between economic growth and SO2 emissions. The Tapio method was used. Then, the temporal trend of decoupling was analyzed and the Moran Index was introduced to test spatial autocorrelation of the provinces. To concentrate resources and improve the reduction efficiency, a generalized logarithmic mean Divisia index improved by the Cobb–Douglas function was applied to decompose drivers of SO2 emissions and to identify the main drivers. Results showed that the overall relationship between SO2 emissions and economic growth had strong decoupling (SD) since 2012; provinces, except for Liaoning and Guizhou, have reached SD since 2015. The decoupling indexes of neighboring provinces had spatial dependence at more than 95% certainty. The main positive driver was the proportion of the secondary sector of the economy and the main negative drivers were related to energy consumption and investment in waste gas treatment. Then, corresponding suggestions for government and enterprises were made.

show abstract

“…In the existing research literature, the decoupling analysis of industrial solid waste is rarely seen. [15] 57 BRI countries Carbon dioxide emissions Xia et al [16] Zhejiang, China Industrial air pollutant emissions Wang et al [17] China CO2 emissions in the iron and steel industry Qian et al [18] China Industrial sulfur dioxide emissions Wang et al [19] China CO2 emissions of China's metal industry Decoupling analysis alone cannot evaluate the effects of environmental externalities and capture useful information [20] . This paper jointly uses LMDI method and decoupling analysis.…”

Section: Decoupling Analysismentioning

confidence: 99%

Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

2021

E3S Web Conf.

View full text Add to dashboard Cite

In this paper, LMDI method is used to analyze the driving factors of industrial solid waste production in the Yangtze River Economic Belt from 2005 to 2018, and the decoupling state is analyzed by Tapio indicator. We found that:①Industrial pollution intensity effect and industrial structure effect inhibited industrial solid waste production, while regional output effect and population size effect played a role in increasing the pollution; ②in different periods, the decoupling states of industrial solid waste in the Yangtze River Economic Belt were weak decoupling, weak decoupling and expansive negative decoupling. The decoupling indicator showed a trend of first decreasing and then increasing. It is suggested to guide investment to environment-friendly industries and strengthen the research on solid waste reduction technology.

show abstract

Decoupling and decomposition analysis of industrial sulfur dioxide emissions from the industrial economy in 30 Chinese provinces

Cited by 54 publications

References 94 publications

Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO2 Emissions Based on Niche Theory: Taking Henan Province as an Example

Characteristics of the Spatio-Temporal Trends and Driving Factors of Industrial Development and Industrial SO2 Emissions Based on Niche Theory: Taking Henan Province as an Example

Spatial-Temporal Analysis and Driving Factors Decomposition of (De)Coupling Condition of SO2 Emissions in China

Decomposition and Decoupling Analysis of Industrial Solid Waste in the Yangtze River Economic Belt

Contact Info

Product

Resources

About