Abstract

Energy security and sustainability are crucial factors for the development of China. The creation of an evaluation theoretical system of the energy has theoretical and practical significance that is important for ensuring the safe and sustainable development of energy security that matches the national development phase and reflects the sustainable development of national energy. Sustainable energy security must not only take into account the security of energy supply–demand in the long-term and short-term, it must also focus on the coordinated development between energy, the environment, and the economy in China. This paper proposes five dimensions of energy security (availability, accessibility, affordability, acceptability, and develop-ability) to construct China’s Sustainable Energy Security (CSES) evaluation index model. Based on the model, an empirical study of China’s energy security is carried out with data from 2005 to 2015, and dynamic changing trends are analyzed accordingly. The results indicate that availability and develop-ability are the most important weights in China’s Sustainable Energy Security index system, where availability shows a general downward trend, and develop-ability presents an inverted U-type trend, with its lowest point in 2011. From 2008 to 2012, China’s sustainable energy security had been at risk. Taking the year 2010 as the demarcation, two phases were obtained: before and after 2010, during which the level of China’s sustainable energy security first dropped, and then rose. However, compared with 2005, CSES level decreased by 28% in 2015 due to the decline of availability and accessibility. During 2005–2015, China’s energy security system had relative high scores in acceptability and develop-ability, while the sustained downward trend of availability is in need of more regulation.

Highlights

  • Energy sources provide the impetus for social and economic development, and energy security plays an indispensable role in national security [1]

  • Since more than half of these areas are in the Middle East and North Africa, which are considered the regions with the highest geopolitical risk in the world, the impact of geopolitics on China’s energy security deserves special attention

  • China’s Sustainable Energy Security (CSES) index was constructed by fully taking policy targets and planning indicators into account

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Summary

Introduction

Energy sources provide the impetus for social and economic development, and energy security plays an indispensable role in national security [1]. Since more than half of these areas are in the Middle East and North Africa, which are considered the regions with the highest geopolitical risk in the world, the impact of geopolitics on China’s energy security deserves special attention. China’s social and economic development are characterized by huge energy consumption and a high proportion of coal in the energy mix, which results in serious negative externalities [6]. It includes the harmonization and sustainability of energy, economic, social, and environmental development, and the high efficiency and diversity of the energy system. China has entered into a new development era and established a scientific and reasonable energy security evaluation system that is of great theoretical and practical guiding significance that adapts to China’s current development mode.

Literature Review on Energy Security Definitions and Index
A11: TPEP per capita
A12: Energy reserve-to-production ratio
A13: Energy self-sufficiency ratio
A21: Share of investment in fixed assets of energy
A22: Crude Oil Market Concentration Risk
A23: Oil Market Liquidity
A31: Domestic fuel price fluctuation ratio
A32: Crude oil price fluctuation ratio
A33: GDP per capita
A41: Share of non-fossil energy consumption
A42: Energy intensity
A43: Carbon emission intensity
A51: TPEC per capita
A52: Carbon emission per unit energy consumption
Data Processing
CSES Evaluation Modeling
Empirical Analysis and Discussion
A11 A12 A13 A21 A22 A23 A31 A32 A33 A41 A42 A43 A51 A52 A53
Dimensional SES Analysis
Conclusions
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