TY - JOUR
T1 - Assessing regional energy security characteristics
T2 - Evidence from Chinese province-level data
AU - Du, Juntao
AU - Gu, Hongwei
AU - Shen, Zhiyang
AU - Song, Malin
AU - Vardanyan, Michael
N1 - Publisher Copyright:
© 2024
PY - 2024/12
Y1 - 2024/12
N2 - Energy security is an essential driver of economic growth and social well-being. Countries worldwide are facing threats to their energy independence stemming from climate change, geopolitical instability, and rising energy prices. Given the significance of China's economy, any threat to its energy security is likely to have a negative impact on the global economy. We assess regional energy security in China using a panel of provinces for the period 2000–2019. We rely on multiple factors likely to affect regional energy independence to define an index of energy security. The entropy weight method, Dagum Gini ratio decompositions, and kernel density estimates are subsequently used to assess the differences in energy security levels across China's regions and their evolution over time. Our results provide evidence of a gradual decline in China's overall energy security, accompanied by increasing disparities in regional energy independence over time. Notably, more than half of the total gap in energy security can be attributed to regional differences among China's eastern, central, western, and northeastern provinces. In addition to their relevance to policymakers in China, our findings provide insights into strategies other developing countries can use to promote their energy independence.
AB - Energy security is an essential driver of economic growth and social well-being. Countries worldwide are facing threats to their energy independence stemming from climate change, geopolitical instability, and rising energy prices. Given the significance of China's economy, any threat to its energy security is likely to have a negative impact on the global economy. We assess regional energy security in China using a panel of provinces for the period 2000–2019. We rely on multiple factors likely to affect regional energy independence to define an index of energy security. The entropy weight method, Dagum Gini ratio decompositions, and kernel density estimates are subsequently used to assess the differences in energy security levels across China's regions and their evolution over time. Our results provide evidence of a gradual decline in China's overall energy security, accompanied by increasing disparities in regional energy independence over time. Notably, more than half of the total gap in energy security can be attributed to regional differences among China's eastern, central, western, and northeastern provinces. In addition to their relevance to policymakers in China, our findings provide insights into strategies other developing countries can use to promote their energy independence.
KW - Dagum Gini ratio decomposition
KW - Energy security
KW - Entropy weight method
KW - Kernel density estimation
UR - http://www.scopus.com/inward/record.url?scp=85206500592&partnerID=8YFLogxK
U2 - 10.1016/j.eneco.2024.107964
DO - 10.1016/j.eneco.2024.107964
M3 - Article
AN - SCOPUS:85206500592
SN - 0140-9883
VL - 140
JO - Energy Economics
JF - Energy Economics
M1 - 107964
ER -