TY - JOUR
T1 - Towards secure energy systems
T2 - Examining asymmetric impact of energy transition, environmental technology and digitalization on Chinese city-level energy security
AU - Bergougui, Brahim
AU - Murshed, Syed Mansoob
AU - Shahbaz, Muhammad
AU - Zambrano-Monserrate, Manuel A.
AU - Samour, Ahmed
AU - Aldawsari, Mohammed Ibrahim
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2025/1
Y1 - 2025/1
N2 - This study aims to investigate the asymmetric impacts of energy transition (ETI), environmental technology (ENT), and digitalization (DEI) on energy security (ESI) across Chinese cities, addressing a significant gap in empirical research at the city level. We employ the Method of Moments Quantile Regression (MMQR) to analyze data from 275 Chinese cities over the period 2007–2020, examining the differential effects of positive and negative shocks in ETI, ENT, and DEI on ESI across various quantiles. Utilizing MMQR, the analysis yields several key findings: (i) Positive shocks in ETI benefit cities with high pre-existing ESI, while negative shocks surprisingly provide a temporary boost to low-security cities but ultimately hinder progress at higher levels. (ii) Positive shocks in DEI correlate with higher ESI, especially in cities with moderate to high baseline security, whereas negative shocks in DEI exhibit minimal influence on ESI. (iii) Positive shocks in ENT generally enhance energy security across all quantiles except the lowest, indicating that advancements benefit cities at various security levels. Notably, negative shocks initially decrease ESI at the lowest quantile but subsequently increase it at moderate to high levels. These findings highlight the complex, non-linear relationships between ETI, ENT, DEI, and ESI in Chinese cities. The study provides quantitative evidence for policymakers to develop nuanced strategies that balance energy transition, digitalization, and environmental technology advancements with energy security goals. Future research should explore the mechanisms underlying these asymmetric effects and their implications for sustainable urban development in China.
AB - This study aims to investigate the asymmetric impacts of energy transition (ETI), environmental technology (ENT), and digitalization (DEI) on energy security (ESI) across Chinese cities, addressing a significant gap in empirical research at the city level. We employ the Method of Moments Quantile Regression (MMQR) to analyze data from 275 Chinese cities over the period 2007–2020, examining the differential effects of positive and negative shocks in ETI, ENT, and DEI on ESI across various quantiles. Utilizing MMQR, the analysis yields several key findings: (i) Positive shocks in ETI benefit cities with high pre-existing ESI, while negative shocks surprisingly provide a temporary boost to low-security cities but ultimately hinder progress at higher levels. (ii) Positive shocks in DEI correlate with higher ESI, especially in cities with moderate to high baseline security, whereas negative shocks in DEI exhibit minimal influence on ESI. (iii) Positive shocks in ENT generally enhance energy security across all quantiles except the lowest, indicating that advancements benefit cities at various security levels. Notably, negative shocks initially decrease ESI at the lowest quantile but subsequently increase it at moderate to high levels. These findings highlight the complex, non-linear relationships between ETI, ENT, DEI, and ESI in Chinese cities. The study provides quantitative evidence for policymakers to develop nuanced strategies that balance energy transition, digitalization, and environmental technology advancements with energy security goals. Future research should explore the mechanisms underlying these asymmetric effects and their implications for sustainable urban development in China.
KW - Chinese cities
KW - Digitalization
KW - Energy security
KW - Energy transition
KW - Environmental technology
KW - MMQR
UR - https://www.scopus.com/pages/publications/85209568078
U2 - 10.1016/j.renene.2024.121883
DO - 10.1016/j.renene.2024.121883
M3 - Artículo
AN - SCOPUS:85209568078
SN - 0960-1481
VL - 238
JO - Renewable Energy
JF - Renewable Energy
M1 - 121883
ER -