Can China achieve the energy-saving and emission reducing objectives during the “13th Five-Year-Plan”? —— A systematic evolutionary analysis

Fang, Guochang; Lu, Longxi; Li, Tian; He, Yan; Bai, Yang

doi:10.1016/j.jclepro.2020.121256

Cited by 20 publications

(7 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the LMDI analysis results, the technical effect was transformed into a reduction effect during the third stage, providing a large contribution of −354.88% to the total carbon reduction. This result was directly linked to the rapid development of science and technology during this stage, while 2015 represented the demarcation point between the latter two stages, and it was also a year when China strongly promoted environmental protection and emphasized ecological development (Fang et al, 2020). In the Paris Agreement signed in 2015, China solemnly pledged to strive to achieve the maximum total carbon emission goals by 2030 (Isabel Hilton, 2014).…”

Section: Discussionmentioning

confidence: 99%

Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

et al. 2021

View full text Add to dashboard Cite

Xinjiang production and Construction Corps (XPCC) is an important provincial administration in China and vigorously promotes the construction of industrialization. However, there has been little research on its emissions. This study first established the 1998-2018 XPCC subsectoral carbon emission inventory based on the Intergovernmental Panel on Climate Change (IPCC) carbon emission inventory method and adopted the logarithmic mean Divisia indexmethod (LMDI) model to analyze the driving factors. The results revealed that from 1998 to 2018, the total carbon emissions in the XPCC increased from 6.11 Mt CO2 in 1998 to 115.71 Mt CO2 in 2018. For the energy structure, raw coal, coke and industrial processes were the main contributors to carbon emissions. For industrial structure, the main emission sectors were the production and supply of electric power, steam and hot water, petroleum processing and coking, raw chemical materials and chemical products, and smelting and pressing of nonferrous metals. In addition, the economic effect was the leading factor promoting the growth of the corps carbon emissions, followed by technical and population effects. The energy structure effect was the only factor yielding a low emission reduction degree. This research provides policy recommendations for the XPCC to formulate effective carbon emission reduction measures, which is conducive to the construction of a low-carbon society. Moreover, it is of guiding significance for the development of carbon emission reduction actions for the enterprises under the corps and provides a reference value for other provincial regions.

show abstract

Section: Discussionmentioning

confidence: 99%

Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Speci cally, the environmental performance of different technologies substantially differs, implying that the related policies are not always compatible with one another, especially those policies surrounding nancial support and tax regime. Further, the clean coal industry has the characteristics of high investment costs, long payback date, and high investment risk, determining it depends strongly on policy subsidies (Fang et al, 2020). Therefore, subsidy policies should be formulated in combination with the sound policy framework, where supervisory policies and pro t evaluation policies are included.…”

Section: Policy Implicationsmentioning

confidence: 99%

Health Impacts of Air Pollution in Chinese Coal-Based Clean Energy Industry: LCA-Based and WTP-Oriented Modeling

Zhang

Yang

Tong

2021

Preprint

View full text Add to dashboard Cite

The evolution of energy system occupies an important position in economic development and quality of life. Influenced by the energy endowment in China, developing the coal-based clean energy industry has been regarded as a guaranteed path to realizing the clean and efficient use of coal resources. However, an evaluation paradigm could systematically assess the health impacts of airborne pollution in this industry is still lack, which is our concern. Combining with life cycle analysis, probabilistic risk models, and health impacts models, this study proposes a series of models which are consistent enough to unite pollutant concentration, health risk, and health impact, and equip assessment results with more intuitive significance using life and economic loss. Further, case studies for three typical coal-based clean energy processing, namely, coal mining, coal-fired power generation, and coal liquefaction are presented to verify the reliability of these models. It is proved that this evaluation paradigm can help to find out the worksite, substage, and airborne pollutant with the most severe impact, and more importantly, the application of evaluation indicators with life and economic meaning is more profitable to provide references for minimizing or eliminating the health impacts, moreover, explicit the developing directions of the national energy industry.

show abstract

“…Climate change has become the common concern of all mankind. It requires rapid and far-reaching changes in the energy system (Fang et al, 2020a).…”

Section: Introductionmentioning

confidence: 99%

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

Bian

Chen²,

Gao³

et al. 2023

Front. Energy Res.

Self Cite

View full text Add to dashboard Cite

This paper attempts to explore the dynamic relationship between new energy industry development and energy structure transformation in China. Based on the real option model and stochastic frontier analysis (SFA), the development scale and technical level of the new energy industry are measured at the provincial level. The eastern region is in the lead, but there has been a certain degree of technological efficiency retreat, especially in Liaoning. The new energy industry in the central region has developed rapidly due to the deepening of the industrialization process. With the aid of PVAR model, impulse response function and variance decomposition, the results show that there exists a bidirectional dynamic relationship between the new energy industry and energy structure. In other words, the development of the new energy industry and the energy transition can be mutually predicted. Specifically, technology effect has a positive continuous and dramatic influence on the transformation of energy structure. In turn, the energy transition first elicits a response to size effects, but has a long-term impact on technology effects. This implies that the new energy industry will usher in scale expansion at the early stage of energy transition. It is worth noting that scale expansion will not always accelerate the transition process. At that time, technology played a long-term and central role. Therefore, reasonable expansion of new energy industry scale and efforts to develop new energy technology are important measures to ensure the orderly energy transition.

show abstract

Can China achieve the energy-saving and emission reducing objectives during the “13th Five-Year-Plan”? —— A systematic evolutionary analysis

Cited by 20 publications

References 32 publications

Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

Carbon Emissions in the Xinjiang Production and Construction Corps and Driving Factors

Health Impacts of Air Pollution in Chinese Coal-Based Clean Energy Industry: LCA-Based and WTP-Oriented Modeling

How to promote the energy transition? —An analysis based on the size and technology effect in new energy industry

Contact Info

Product

Resources

About