Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach

Wu, Jianxin; Wu, Yue; Guo, Xiumei; Cheong, Tsun Se

doi:10.1016/j.enpol.2015.12.028

Cited by 156 publications

(88 citation statements)

References 30 publications

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“…1) (World Bank, 2016). To mitigate carbon emissions and global warming, China has made different environmental policies and taken effective measures (Li & Lin, 2016;Wu, Wu, Guo, & Cheong, 2016). In particular, China has raised a target of decreasing carbon intensity (CO 2 emissions divided by gross domestic product (GDP)) to 40e45% of 2005 levels by 2020 Qiu, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Analyzing the convergence of carbon intensity is helpful to cognize the change mechanism of carbon intensity and to set evidence-based policies for carbon intensity targets. Convergence of carbon intensity is of particular concern to policymakers in China, and government establishes some important targets of decreasing carbon intensity (Li & Lin, 2016;Wu et al, 2016). Instead of equal allocation of carbon intensity to each province, the allocation of carbon intensity to prefecture-level city can be more effective (Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Convergence of carbon intensity is of particular concern to policymakers in China, and government establishes some important targets of decreasing carbon intensity (Li & Lin, 2016;Wu et al, 2016). Instead of equal allocation of carbon intensity to each province, the allocation of carbon intensity to prefecture-level city can be more effective (Wu et al, 2016). Therefore, investigation of the convergence of carbon intensity is important for policymakers to provide suggestions in allocating carbon intensity targets according to carbon intensity rules.…”

Section: Introductionmentioning

confidence: 99%

“…Although the existing studies have focused on the convergence of carbon emissions (Evans & Kim, 2015;Pettersson et al, 2014;Wu et al, 2016), there were three major limitations. First, the research scale mainly focuses on countries (Fallahi & Voia, 2015;McKitrick & Wood, 2013;Ord as Criado & Grether, 2011) or provinces (Hao et al, 2015a;Wang et al, 2014b).…”

Section: Introductionmentioning

confidence: 99%

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Convergence of carbon intensity in the Yangtze River Delta, China

Huang

Yang

et al. 2017

Habitat International

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a b s t r a c tAs China's industrialization and urbanization have grown rapidly in recent years, China's CO 2 emissions rose from 3405.1799 Mt to 10,249.4630 Mt from 2000 to 2013, and it has reached the highest levels in the word since 2006. Chinese government has emphasized the importance of reducing carbon emissions and set the target of reducing carbon intensity to 60e65% of 2005 levels by 2030. Investigating the convergence of carbon intensity can identify the convergence rate, which is helpful in guiding allocations of carbon intensity reduction. The Yangtze River Delta is one of the key carbon emission regions in China, with higher urbanization levels and larger carbon emissions; thus, we employed prefecture-level panel data derived from grid data between 2000 and 2010 to examine whether the convergence of carbon intensity exists across prefecture-level cities in the Yangtze River Delta. Spatial panel data models were utilized to investigate b-convergence of carbon intensity. The results indicated that carbon intensity showed divergence during 2002e2004 and s-convergence over other periods (2000e2002 and 2004 e2010). Carbon intensity exhibited stochastic convergence, indicating that the shocks to carbon intensity relative to the average level of carbon intensity are only transitory. There was a spatial spillover effect and b-convergence of carbon intensity, suggesting that prefecture-level cities with higher carbon intensity would decrease rapidly in the Yangtze River Delta. Our results highlight the importance of considering the present state of carbon intensity, spatial factors, and socioeconomic factors such as industrial structure and economic levels during allocation planning for reducing carbon intensity.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Convergence of carbon intensity in the Yangtze River Delta, China

Huang

Yang

et al. 2017

Habitat International

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“…The other strand of the literature contributes to model the distribution of the data series to investigate the convergence. Wu et al [19] employed a continuous dynamic distribution approach and panel data of 286 cities at the prefecture and above-prefecture level; the results showed that per capita CO 2 emissions tend to converge during the sample period of 2002 to 2011. Herrerias [20] utilized the distribution dynamics approach to analyze the convergence of CO 2 emissions per capita among the EU-25 countries between 1920 and 2007 and found that the convergence patterns differ strongly before and after World War II.…”

Section: Introductionmentioning

confidence: 99%

The Convergence of Sulphur Dioxide (SO2) Emissions Per Capita in China

Zhang

Zhao

2020

Sustainability

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As the third-largest SO 2 emitter in the world, China is facing mounting domestic and external pressure to tackle the increasingly serious SO 2 pollution. Figuring out the convergence and persistence of sulfur dioxide (SO 2 ) emissions matters much for environmental policymakers in China. This study mainly utilizes the Fourier quantile unit root test to survey the convergence of the SO 2 emissions per capita in 74 cities of China during the period of December 2014 to June 2019, by conducting five traditional unit root tests and a quantile root unit test as a comparative analysis. The empirical results indicate that the SO 2 emissions per capita in 72 out of 74 cities in China are convergent in the sample period. The results also suggest that the unit root behavior of the SO 2 emissions per capita in these cities is asymmetrically persistent at different quantiles. For the cities with the convergent SO 2 emissions, the government should consider the asymmetric mean-reverting pattern of SO 2 emissions when implementing environmental protection policies at different stages. For Hefei and Nanjing, the local governments need to enact stricter environmental protection policies to control the emission of sulfur dioxide.Keywords: SO 2 emissions per capita; quantile unit root test; Fourier quantile unit root test; mean-reverting property Despite the initial achievement, SO 2 emissions in China still surpass the sum of the members of the Organization for Economic Cooperation and Development (OECD) and the U.S. [1]. According to the statistics in China Statistical Yearbook (2019), by the year 2018, in China's total energy consumption, the share of fossil energy (including coal, crude oil, and natural gas) has remained above 85%, while the share of renewable energy (including hydropower, nuclear power, and wind power) has been below 15%. More specifically, in the year 2018, the consumption of coal represents 59% of the total level of energy consumption in China, which leads to the fact that the SO 2 emissions per capita have continuously increased. As the third-largest SO 2 emitter in the world, China is facing mounting domestic and external pressure to tackle the increasingly serious SO 2 pollution.High SO 2 emission is a tremendous threat to the environment change. It is one of the most important on-going anxieties for both emerging countries and developed countries. As a typical traditional contaminant, SO 2 brings many adverse effects to the human body, such as breathing difficulty, pulmonary edema, eye irritation, asthma attacks, cardiopulmonary diseases [2][3][4]. Meanwhile, SO 2 has considerable negative impacts on the ecological environment. For example, a high concentration of SO 2 will change the potential of hydrogen (pH) value of plants, which will lead to agricultural production reduction and forest death. Wei et al. [5] found that in 899 Chinese counties, the estimated cost of agricultural losses induced by SO 2 air pollution reached USD 1.43 billion. According to the data from the Ministry of Ecology and Envir...

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Can low‐carbon development force enterprises to make digital transformation?

Wen

2022

Bus Strat Env

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Enterprises need to innovate business strategies to deal with the negative effects of low-carbon development, among which digital transformation is an important breakthrough technology. This paper discusses the impact of low-carbon development on enterprises' digital transformation. Theoretical analysis shows that environmental regulations driven by low-carbon development have the compensatory effect of stimulating enterprise digital transformation to mitigate misallocation of capital and labor, especially for enterprises with higher productivity. In addition, both the construction of network infrastructure and the development of digital finance can strengthen the incentives for enterprises' digital transformation. The empirical tests based on Chinese A-share listed enterprises show that the degree of enterprises' digital transformation increases by 0.0122 standard deviation for every one standard deviation reduction in regional carbon emission intensity. These results deepen the understanding of the relationship between green development and microenterprise digitalization.

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Convergence of carbon dioxide emissions in Chinese cities: A continuous dynamic distribution approach

Cited by 156 publications

References 30 publications

Convergence of carbon intensity in the Yangtze River Delta, China

Convergence of carbon intensity in the Yangtze River Delta, China

The Convergence of Sulphur Dioxide (SO2) Emissions Per Capita in China

Can low‐carbon development force enterprises to make digital transformation?

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