A functional index model for dynamically evaluating China's energy security

Wang, Deqing; Tian, Sihua; Fang, Lei; Xu, Yan

doi:10.1016/j.enpol.2020.111706

Cited by 52 publications

(12 citation statements)

References 68 publications

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“…In this paper, we used a global dataset for the period from 1995 to 2019 and constructed the energy security evaluation index system from four dimensions, namely energy supply [ 34 , 36 ], energy use [ 34 ], energy economic development [ 32 , 34 ] and energy environment [ 34 , 36 ] ( Table 1 ). The energy supply dimension describes and evaluates the capacity of the regional energy system to cope with the imbalance of the energy supply–demand relationship, which contains six indicators: energy self-sufficiency rate [ 34 , 36 , 58 ], power generation to energy consumption ratio [ 21 ], renewable power generation to total power generation ratio [ 3 , 21 ], non-fossil fuel consumption ratio [ 21 , 58 , 59 ], fuel imports to energy consumption ratio [ 3 ] and energy production per capita [ 34 , 58 ]. The energy use dimension measures regional energy consumption and efficiency.…”

Section: Methodology and Datamentioning

confidence: 99%

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The Dynamic Evolution of Global Energy Security and Geopolitical Games: 1995~2019

Yang

2022

IJERPH

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Under the influence of economic globalization, the internationalization trend of energy security issues has become increasingly prominent. This paper adopts the natural discontinuity grading method to classify the energy security status of 102 countries into five categories: Best, Better, Good, Poor and Worse types; reveals the dynamic evolution characteristics and main formation mechanisms of world energy security; and puts forward the game focus of future energy geopolitics. The results show that: (1) during 1995–2019, global energy security presents local turbulence and an overall “J” shaped trend; (2) the global energy security pattern coincides with the international geopolitical order. The countries with the “Best” energy security are found in Western Europe and North America while the countries with “Poor” or “Worse” energy security are located in Asia and the less developed regions of Africa; (3) the main reason why developed economies have better energy security is due to their high energy use efficiency, while developing countries lag behind mainly because of their lower innovation capacity, lower productivity and lower disposable income; and (4) the global energy security landscape is expected to be affected by the changing US–China relationship, coercive energy transition and the uncertainty of the political environment.

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Section: Methodology and Datamentioning

confidence: 99%

“…In different studies, indicators are usually assigned to different dimensions. For example, “energy intensity”, as one of the most commonly used indicators, has been assigned to different dimensions such as economy [ 25 ], technology and efficiency [ 32 , 33 ], energy demand [ 34 , 35 ] and security of supply [ 36 ].…”

Section: Introductionmentioning

confidence: 99%

The Dynamic Evolution of Global Energy Security and Geopolitical Games: 1995~2019

Yang

2022

IJERPH

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“…Jefferson [11] predicted that the crude oil price would rise before the third quarter of 2020 and would rise slightly to 40-50 USD per barrel in the first half of 2021. However, Wang et al [12] made a detailed study on energy security, and found that to improve China's energy security coefficient, attention should be paid to energy supply and renewable energy technologies. Chen et al [13] conducted studies on China's oil import system and gave three suggestions to prevent external shocks.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the impact of epidemic situation on total electricity consumption of the United States under the prediction scenario

Wang

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The outbreak of COVID-19 epidemic has led to a decline in electricity consumption in the United States, the world’s second largest consumer of electricity. Based on the monthly data of the United States from August 2015 to July 2020, this paper uses the ARIMA model and the ARIMA-BP model to forecast the power consumption of the United States in the next 17 months. The Mean Absolute Percentage Error (MAPE) is 5.6% and 4.5% respectively. It shows that the prediction results have high reliability. The results of prediction research will provide a scientific basis for the normal adjustment of electricity supply and demand in the United States, and the method used in this study can be used as a reference for the study of electricity consumption in other countries.

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“…Song et al (2019) construct a new comprehensive energy evaluation model from three dimensions of energy supply, economy-technology and environment to evaluate China's energy security in six critical years from 2000 to 2014, and find that China's energy security level presents an "N" curve relationship. Wang et al (2020) construct an evaluation system containing 17 sub-indexes from three dimensions of energy supply, energy consumption and environmental impact to evaluate the trend of energy security changes in China's energy security from 2000 to 2018, and conclude that it presents a "W" curve.…”

Section: Quantitative Evaluation Of Energy Securitymentioning

confidence: 99%

“…This method can fully reflect the focus of the decision maker, but it is also limited by the subjective judgment of the researcher. The objective methods include principal component analysis (Gnansounou, 2008), data envelopment analysis (Zhang et al, 2013), analytic hierarchy process (Wu et al, 2012), fuzzy analytic hierarchy process (Ren and Dong et al, 2018), equal weights method (Sovacool and Brown, 2010), correlation analysis (Zhang et al, 2017), entropy weight (Rani et al, 2019;Liu et al, 2020), functional entropy weighting method (Wang et al, 2020). The entropy method uses the original data information to analyze the index relevance and determine the index weight according to the amount of information carried by each index.…”

Section: Quantitative Evaluation Of Energy Securitymentioning

confidence: 99%

Impact of industrialization on China’s regional energy security in the New Era

Zhang

Wang

Zhang

et al. 2021

Environ Dev Sustain

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Ensuring industrialization and energy security in a positive direction at the same time is significant to achieve high-quality development of the regional economy.This study attempts to provide two evaluation index systems for industrialization and energy security in the new era and discuss the impact of industrialization on energy security in the new era. In doing so, industrialization in the new era is evaluated by the ratio of quality expansion and quantity improvement during industrial development, then the evaluation system of energy security is put forward which has a total of 18 indexes in three dimensions, including energy supply security, energy consumption an environment-friendly development model, encouraging green technological innovation, optimizing the input structure of factors, and building a dynamic balance of energy supply and demand.

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A functional index model for dynamically evaluating China's energy security

Cited by 52 publications

References 68 publications

The Dynamic Evolution of Global Energy Security and Geopolitical Games: 1995~2019

The Dynamic Evolution of Global Energy Security and Geopolitical Games: 1995~2019

Analysis of the impact of epidemic situation on total electricity consumption of the United States under the prediction scenario

Impact of industrialization on China’s regional energy security in the New Era

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