Carbon emission efficiency and spatial clustering analyses in China’s thermal power industry: Evidence from the provincial level

Yan, Dan; Lei, Yalin; Li, Li; Song, Wen

doi:10.1016/j.jclepro.2017.04.063

Cited by 178 publications

(62 citation statements)

References 36 publications

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“…China's breath-taking economic growth and power-generation development during the last few decades have helped to lift hundreds of millions of people out of poverty; however, this success has also turned China into the world's largest emitter of carbon dioxide (Steckel et al, 2011). In this context, China's power industry produces nearly 40% of the country's carbon emissions (Yan et al, 2017).…”

Section: Preferential Policiesmentioning

confidence: 99%

Competitiveness of hydropower price and preferential policies for hydropower development in Tibet and the Sichuan-Yunnan Tibetan area of China

Liu

Huang

et al. 2018

Water Policy

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Tibet and the Sichuan-Yunnan Tibetan area have enormous potential for hydropower development. Therefore, accelerating hydropower development in these areas can contribute to water resource utilisation and help relieve the poverty, which has also become a necessary choice of national strategic importance to comply with energysaving, emission reduction, and 'power transmission from west to east' policies. Under existing policies, research has shown that the basic costs of electricity from the typical plants in Tibet and the Sichuan-Yunnan Tibetan area are high and uncompetitive, so that investment enthusiasm for hydropower companies will wane and water resource utilisation will be affected. In this study, we suggest policies to improve the competitiveness and sustainability of the hydropower development in the Tibet and Sichuan-Yunnan Tibetan areas; eventually, the water resources therein can be more effectively utilised. Research has indicated that drafted preferential policies can effectively decrease the cost price. Additionally, the hydropower industry in these areas should be incorporated into the national primary energy balance, forming a government-dominated market mechanism. This would consist of a mandatory market share of the hydropower transmitted from Tibet and the Sichuan-Yunnan Tibetan area and hydropower-carbon trade mechanismthe aim being to promote the consumption of hydropower across the nation.

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Section: Preferential Policiesmentioning

confidence: 99%

Competitiveness of hydropower price and preferential policies for hydropower development in Tibet and the Sichuan-Yunnan Tibetan area of China

Liu

Huang

et al. 2018

Water Policy

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show abstract

“…Wang et al constructed spatial econometric models, which were based on patent data about energy conservation and emission reduction and economic externalities of spatial units that were transplanted into CO 2 emissions research [21]. Yan et al used the undesirable-slacks-based measure (SBM) model and evaluated the carbon emission efficiency [22]. You et al applied the spatial panel method to address the problems of spatial dependency and the spillover effect among neighboring countries [23].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

Feng

et al. 2019

Sustainability

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Based on the carbon emission data in the Beijing–Tianjin–Hebei urban agglomeration from 2007 to 2016, this paper used the method of social network analysis (SNA) to investigate the spatial correlation network structure of the carbon emission. Then, by constructing the synergetic abatement effect model, we calculated the synergetic abatement effect in the cities and we empirically examined the influence of the spatial network characteristics on the synergetic abatement effect. The results show that the network density first increased from 0.205 in 2007 to 0.263 in 2014 and then decreased to 0.205 in 2016; the network hierarchy fluctuated around 0.710, and the minimum value of the network efficiency was 0.561, which indicates that the network hierarchy structure is stern and the network has good stability. Beijing and Tianjin are in the center of the carbon emission spatial network and play important “intermediary” and “bridge” roles that can have better control over other carbon emission spatial spillover relations between the cities, thus the spatial network of carbon emissions presents a typical “center–periphery” structure. The synergetic abatement effect increased from −2.449 in 2007 to 0.800 in 2011 and then decreased to −1.653 in 2016; the average synergetic effect was −0.550. This means that the overall synergetic level has a lot of room to grow. The carbon emission spatial network has a significant influence on the synergetic abatement effect, while increasing the network density and the network hierarchy. Decreasing the network efficiency will significantly enhance the synergetic abatement effect.

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“…At the same time, three elements for constructing a carbon emission trading market system for the power industry were proposed in Chu and Zeng's study (2010) [27]. Yang and Lin (2016) reported that electricity intensity and economic activity were the primary drivers of increasing emissions from China's power industry [28]. Yan et al (2017) investigated the carbon emission efficiency of China's power industry and found that regional differences and agglomeration effects occurred simultaneously [29].…”

Section: Literature Reviewmentioning

confidence: 99%

A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model

Zhu

Zhou

et al. 2019

Sustainability

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With the deterioration caused by environmental pollution, studies on the low-carbon economy have received more attention. As far as we know, electricity production accounts for a large portion of total carbon emissions. Therefore, based on panel data from 2005 to 2014, we used the non-radial directional distance function model based on the data envelope analysis (DEA) to evaluate the static electricity product efficiency of various provinces in China. Further, the global Malmquist index was introduced to analyze the main factors. The relationship between the environmental policy stringency and the regional power production efficiency was also investigated. Static results show that China's regional power production efficiency has a significant difference between coastal developed and inland areas. Dynamic evaluation further proved that the difference is mainly due to technological change. Finally, regression results show that technological change is the only factor directly affecting regional environmental policy stringency.

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Carbon emission efficiency and spatial clustering analyses in China’s thermal power industry: Evidence from the provincial level

Cited by 178 publications

References 36 publications

Competitiveness of hydropower price and preferential policies for hydropower development in Tibet and the Sichuan-Yunnan Tibetan area of China

Competitiveness of hydropower price and preferential policies for hydropower development in Tibet and the Sichuan-Yunnan Tibetan area of China

Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model

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