Regional differences in China's fossil energy consumption: an analysis for the period 1997–2013

Chen, Jiandong; Wu, Yinyin; Wen, Jie; Cheng, Shulei; Wang, Jianlin

doi:10.1016/j.jclepro.2016.05.135

Cited by 42 publications

(13 citation statements)

References 39 publications

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“…China's northern cities receive subsidized heating in winter months, whereas China's southern cities are not entitled to this centralized heating system. The main source of energy used for heating is coal, which causes a large number of air pollutants (Almond, Chen, Greenstone, & Li, ; Chen, Wu, Wen, Cheng, & Wang, ). Environmental regulation in northern China has become increasingly strict in recent years due to the severe air pollution (Li et al, ).…”

Section: Resultsmentioning

confidence: 99%

The economic consequences of environmental regulation in China: From a perspective of the environmental protection admonishing talk policy

et al. 2020

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Environmental regulation may lead to undesired economic consequences. China has tightened its environmental policies to deal with severe environmental pollution in recent years, but existing studies pay little attention to the economic consequences of China's environmental policies. Using the panel data of 211 prefecture-level and above cities in China from 2003 to 2016, we for the first time estimate the economic impact of the environmental protection admonishing talk (EPAT) policy, a newly implemented environmental regulation policy in China. We use the difference-in-differences strategy to identify the economic effects of the EPAT policy combined with the propensity score matching method to control a potential selection problem. The results show that a relative decline occurs in gross domestic product per capita in target cities after the implementation of the EPAT, and the negative impact is exerted on the secondary industry rather than the tertiary industry. Furthermore, we find that target cities respond to the environmental protection requirements of higher authorities through a one-size-fits-all approach of limiting the production activities of industrial enterprises. Meanwhile, the EPAT policy does not improve environmental efficiency. Such findings are instructive for policymakers who need to trade off economic welfare and environmental quality when formulating and implementing new environmental policies. K E Y W O R D S environmental policy, economic development, environmental regulation, difference-indifferences model, propensity score matching, China

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Section: Resultsmentioning

confidence: 99%

The economic consequences of environmental regulation in China: From a perspective of the environmental protection admonishing talk policy

et al. 2020

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“…Figure 4 shows that China has overtaken the USA to become not only the world's largest energy consumer overall, but also the largest consumer of non-fossil energy. The rapid growth of primary energy consumption in China has been mainly driven by its booming economy in recent years (Chen et al, 2016(Chen et al, , 2017, while its increasing consumption of non-fossil fuels has been contributed to the development of green technologies and policies supporting circulating economy and cleaner energy (Wu, 2017;Song and Wang, 2018). In addition, although India has experienced relatively rapid growth in primary energy consumption, and its energy consumption now exceeds that of France, it has still seriously lagged behind France in terms of non-fossil fuel consumption.…”

Section: Resultsmentioning

confidence: 99%

Global non-fossil fuel consumption: driving factors, disparities, and trends

Chen

et al. 2019

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Purpose Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality. Design/methodology/approach The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient. Findings Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period. Originality/value The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.

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“…The basic causal relationships in each subsystem are as follows: 1) From an energy point of view, in the traditional developmental mode, economic growth will lead to increased fossil fuel energy use, resulting in increased air pollutant emissions and greater annual average PM 2.5 concentrations (Zhang et al, 2013;Chen et al, 2016).…”

Section: Causal Description Of the Sd Model Systemmentioning

confidence: 99%

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

Zhou

2017

Ecological Indicators

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China faces a contradictory period of economic development and environmental protection, with it being essential to control total emissions within the limit of atmospheric environmental capacity (AEC) by promoting atmospheric environmental carrying capacity (AECC). This implies that well-calculated AEC and AECC values are the key macro-criteria for improving environmental quality and supporting the challenging coordinated development of economy and environment. When considering compound air pollution characterised as fine particulate matter (PM 2.5), conventional methods are not capable of calculating AEC and AECC, but the system dynamics (SD) method retains the advantage of simplicity in resolving complex problems. In the present study, we first describe the background and definitions of AEC and AECC, which are different from Western concepts, and their dialectical relationships. Then, with the statistical data from Wuhan city in 2014, we establish an 'economy-energy-atmospheric environment' dynamic model using the SD method, which does not need to simulate the complicated physicochemical processes of atmospheric transmission and diffusion. Instead, it uses the pollutants' proportionality factors and conversion rates to establish quantitative connections among different types of variables. Finally, we simulate the dynamic trends of gross domestic production (GDP), PM 2.5 , and six air pollutant emissions between 2015 and 2030 in four different scenarios and calculate the results of AEC and AECC constrained by GDP and PM 2.5 .

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Regional differences in China's fossil energy consumption: an analysis for the period 1997–2013

Cited by 42 publications

References 39 publications

The economic consequences of environmental regulation in China: From a perspective of the environmental protection admonishing talk policy

The economic consequences of environmental regulation in China: From a perspective of the environmental protection admonishing talk policy

Global non-fossil fuel consumption: driving factors, disparities, and trends

Urban atmospheric environmental capacity and atmospheric environmental carrying capacity constrained by GDP–PM2.5

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