Impact analysis of coal-electricity pricing linkage scheme in China based on stochastic frontier cost function

Li, Hongzhou; Tian, Xiaofeng; Zou, Tao

doi:10.1016/j.apenergy.2015.04.073

Cited by 28 publications

(13 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variables that represent the economic conditions are similar in their relationship with each factor, like US GDP, industrial production and average pay level. The loading of coal consumption, oil consumption and carbon dioxide emissions is similar (Li et al 2015). The relationship between interest rate and exchange rate is quite independent when compared with other variables (Wang 2012 …”

Section: Resultsmentioning

confidence: 88%

“…Li and Wei (2003) compared the gas price within and outside China and put forward that the major impact factors of the domestic market are the upstream exploitation, transportation pipeline construction and distribution. Li et al (2015) established a model for the relationship between the gas price and alternative energy, taking the theoretical price of gas as the correlation function of alternative energy (Ren and Sovacool 2014b), and made a forecast of the future price trend (Olsen et al 2015).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of factors influencing the Henry Hub natural gas price based on factor analysis

Hong¹,

Zhang²,

Xie³

et al. 2017

Pet. Sci.

View full text Add to dashboard Cite

Henry Hub as an important transaction hub for natural gas sets the gas price standard in the USA. In this paper, the factors influencing Henry Hub natural gas prices are analyzed, and the major factors determining the price levels in the period between January 1997 and December 2016 are studied. It is found that economic conditions, total energy demand, US dollar exchange rate and gas consumption are the major factors. The mechanism of each factor influencing the Henry Hub natural gas price is also explored in the paper.

show abstract

Section: Resultsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Analysis of factors influencing the Henry Hub natural gas price based on factor analysis

Hong¹,

Zhang²,

Xie³

et al. 2017

Pet. Sci.

View full text Add to dashboard Cite

show abstract

“…Due to the unsynchronization of the coal marketization reform and the electric power marketization reform, the price conflict between coal enterprises and coal-fired electricity generation enterprises in the coal-electricity energy supply chain. Then, how to solve the price conflict between coal enterprises and coal-fired electricity generation enterprises has become a hot issue concerned by the government, enterprises and society [1,2,3,4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Decision-Making of Vertical Relationship Governance in China’s Coal-electricity Energy Supply Chain

Wang¹,

Liu²,

Liu

et al. 2021

E3S Web Conf.

View full text Add to dashboard Cite

Coal and coal-fired electricity generation, as interdependent upstream and downstream industries, play a positive role in ensuring energy security, economic development and social stability in China. However, the strategies of coal enterprises and coal-fired power enterprises are influenced by the market structure, coal-electrical energy policies and the characteristics in the coal-electricity energy supply chain. In this paper, considering the upstream for many coal enterprises, the downstream for many coal-fired electricity generation enterprises in coal-electricity energy supply chain model, is concluded that profit calculation model for coal-electricity cooperative enterprises, independent upstream coal enterprises, and independent downstream coal-fired electricity generation enterprises were obtained. In order to maximize the profits, we construct coal enterprises and coal-fired electricity generation enterprises cooperative operation decision-making model, and the different situation of the optimal strategy is studied and analyzed. Using Matlab simulation software for numerical simulation. It is to belong to the simulation results confirm the efficiency of the model.

show abstract

“…Up to now, abundant literature has sought various approaches to open the "black box" of the TFP growth; the stochastic frontier analysis (SFA) is one of the main approaches in the application of estimating TFP growth. SFA was originally proposed by Aigner et al and Meeusen and van den Broeck [37,38], and has been broadly applied by many researchers into study [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54] due to the following fundamental advantages. Firstly, it can explain more accurately the theoretical definition of a production function which estimates the maximum output attainable from a given set of inputs, and secondly, the technical efficiency of the sample may be estimated by comparing the observed output with the predicted (or attainable) output [44,46,[55][56][57].…”

Section: Introductionmentioning

confidence: 99%

Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China

Guang-ming

Jin-lian

et al. 2019

Sustainability

View full text Add to dashboard Cite

To find out whether carbon sequestration is both effective at mitigating climate change and promoting economic growth, in this paper, by adopting a stochastic frontier panel model with translog production function, carbon sequestration is incorporated into endogenous variables to establish estimation model of carbon sequestration total factor productivity (CSTFP) and examine CSTFP growth and its drivers decomposition of the Yangtze River Economic Belt (YREB) of China in three estimations. The result shows that, (1) compared to traditional TFP growth, CSTFP growth in YREB is improved by 26.74 percentages (from −26.55% to 0.20%), contributed by three positive drivers of technical efficiency change (28.59%), technological progress change (18.55%), and scale efficiency change (3.99%); (2) different CSTFP growth exists in three watershed segments of YREB, which firstly is the upper reaches (0.62%), then the lower reaches (0.11%) and the middle reaches (−0.14%). Improved CSTFP growth owes to carbon sequestration’s harmonious symbiosis where natural ecosystems and human activities are naturally blended while insufficient synergies are bottleneck for promotion of CSTFP growth in YREB. Related policy suggestions are provided in the end. The proposed analysis framework is efficient to disclose CSTFP growth in YREB, and can also be applied to similar analysis on CSTFP in regions and extended to multi-country/region analysis.

show abstract

Impact analysis of coal-electricity pricing linkage scheme in China based on stochastic frontier cost function

Cited by 28 publications

References 36 publications

Analysis of factors influencing the Henry Hub natural gas price based on factor analysis

Analysis of factors influencing the Henry Hub natural gas price based on factor analysis

Optimal Decision-Making of Vertical Relationship Governance in China’s Coal-electricity Energy Supply Chain

Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China

Contact Info

Product

Resources

About