Assessment of the Carbon Emission Reduction Effect of the Air Pollution Prevention and Control Action Plan in China

Zhang, Zhenhua; Zhang, Jingxue; Feng, Yanchao

doi:10.3390/ijerph182413307

Cited by 35 publications

(18 citation statements)

References 20 publications

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“…The advantage of this approach is that it can estimate the effect of a specific intervention or treatment by comparing changes in outcomes over time. Many scholars used the DID method to investigate China's clean winter heating policy (Weng et al, 2021;Weng et al, 2022) and air pollution control policy (He et al, 2020;Zhang et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

Weng

Liu²,

Cheng³

2022

Front. Environ. Sci.

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The carbon market is a crucial market-oriented tool in achieving carbon neutrality and has been adopted by many countries and regions. China has established a policy system covering eight carbon trading pilots since 2013 and has implemented effective practices. Despite the evaluation of the carbon markets at the national level, few studies identified the carbon emission reduction effect for a specific region or assessed the differentiated characteristics that may significantly impact the development of the carbon market. This study took the Beijing-Tianjin-Hebei (BTH) region as the research sample and aimed to estimate the carbon emission reduction effect of the carbon market by using a difference-in-differences approach. Our findings suggested that the carbon market in the BTH region effectively reduced its carbon intensity by 14.04%. Our estimations were robust after using a winsorization panel or establishing a new control group. Furthermore, the results also indicated that the carbon market’s effect on reducing carbon intensity differs across cities and shows an increasing trend yearly. Relevant recommendations for promoting carbon trading policies were proposed.

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Section: Methodsmentioning

confidence: 99%

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

Weng

Liu²,

Cheng³

2022

Front. Environ. Sci.

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“…The processing variable is set as whether an enterprise is in the published PITI area. To eliminate the biased estimation results caused by sample self-selection, propensity score matching (PSM) was used to process the samples [ 33 ]. Taking the total industrial water consumption of each enterprise as the response variable, the benchmark multi-period DID Model (1) was obtained as follows:

…”

Section: Methodsmentioning

confidence: 99%

Impact of Environmental Information Disclosure Policy and Trade on Chinese Paper Industry Environmental Effects

Feng

Chen

2022

IJERPH

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While participation in the international division of labor has led to rapid economic development, it has also resulted in pressing environmental issues in China. In the context of “building a resource-saving and environment-friendly society” and the current sustainability requirements, research on the environmental impact of Chinese paper companies from the perspective of Environmental Information Disclosure (EID) policy and trade has not yet reached a consensus. This study constructs an analytical framework for the EID policy impact mechanism and trade on the environmental effects of the paper industry and enterprises. It explores the direct and indirect effects of EID policy and import-and-export trade on the paper industry environmental effects using the Propensity Score Matching and Difference-in-Differences (PSM-DID) model. EID positively impacts the pollution reduction of enterprises mainly through the technical effect. Export trade positively impacts the reduction of enterprises’ emissions through the technology effect. However, the demand of the international market increases the pollution from the paper industries, which has a negative impact. Importing will enable enterprises to obtain greater price advantages which can alleviate and transfer the costs brought by EID. This study analyzes the impact of trade on the environmental effects of Chinese paper enterprises and identifies the impact of China’s EID policy and trade on enterprises’ pollution emissions. It provides a theoretical and practical foundation for the Chinese government to formulate environmental and trade policies.

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“…The existing studies about manufacturing emissions mostly conducted index decomposition analysis at the national level or the provincial level. Only a few studies have investigated the emissions at the city level [ 20 , 21 , 22 ] and have focused on Beijing, Shanghai, Tianjin, Chongqing, and Zhuhai in China [ 23 , 24 ]. Gu et al studied the determinants of Shanghai’s CO 2 emission change during the period 1995–2015 and identified that energy intensity is the main factor for carbon mitigation, followed by economic structure, residential energy intensity, and emission coefficients [ 25 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Heterogeneity and Decomposition Analysis of Manufacturing Carbon Dioxide Emissions in China’s Post-Industrial Innovative Megacity Shenzhen

Liao

Wang

Ren

et al. 2022

IJERPH

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Effectively reducing manufacturing carbon dioxide (CO2) emissions is a vital strategy for China to curb its rapidly rising carbon footprint. Features of such a reduction in manufacturing include an increase in the share of high-tech manufacturing and optimization of the energy consumption structure. This study aims to analyze the case of Shenzhen, a unique post-industrial innovative manufacturing megacity, for its leading experience in China’s manufacturing transition. Disaggregated manufacturing emissions data of Shenzhen, including 27 sub-sectors in four categories, were collected, and driving factors were identified by the logarithmic mean Divisia index (LMDI) method. The results suggest that: (1) CO2 emissions from Shenzhen’s manufacturing show a phased difference between 2008–2012 and 2012–2020. CO2 emissions embodied in electricity consumption have increased by over 30% in the former period and have remained stable at a high level of over 90%. (2) Significant heterogeneity of CO2 emissions in various manufacturing sectors is revealed, with the largest emissions sources being factories that make communication equipment, computers, and other electronic equipment. (3) Lower carbon intensity is the primary factor in reducing CO2 emissions, while the economic activity effect of manufacturing possesses a stimulating impact. (4) The marginal impact of restructuring on CO2 emissions is insignificant since the manufacturing and energy structures of Shenzhen have been upgraded to a low carbon level. Therefore, strengthening the power saving management and improving the energy efficiency of the manufacturing, rather than optimizing the manufacturing and final energy structures, will be a necessary potential solution to the problem of how to reduce CO2 emissions in Shenzhen’s manufacturing.

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Assessment of the Carbon Emission Reduction Effect of the Air Pollution Prevention and Control Action Plan in China

Cited by 35 publications

References 20 publications

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

Reduction effect of carbon markets: A case study of the Beijing-Tianjin-Hebei region of China

Impact of Environmental Information Disclosure Policy and Trade on Chinese Paper Industry Environmental Effects

Heterogeneity and Decomposition Analysis of Manufacturing Carbon Dioxide Emissions in China’s Post-Industrial Innovative Megacity Shenzhen

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