Exploring decoupling relationship between ICT investments and energy consumption in China's provinces: Factors and policy implications

被引:10
作者
Ge, Yihan [1 ]
Yuan, Rong [2 ]
机构
[1] Nankai Univ, Sch Econ, Weijin St 94, Tianjin 300071, Peoples R China
[2] Chongqing Univ, Coll Management & Econ, Shanzheng St 174, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
ICT investments; Energy consumption; Tapio decoupling; GDIM; Cluster analysis; RESEARCH-AND-DEVELOPMENT; CO2; EMISSIONS; ECONOMIC-GROWTH; TRANSPORTATION SECTOR; CARBON EMISSION; DECOMPOSITION; TECHNOLOGY; IMPACT; INFORMATION; DEMAND;
D O I
10.1016/j.energy.2023.129506
中图分类号
O414.1 [热力学];
学科分类号
摘要
Prior studies on ICT and energy consumption in China lack exploration of the decoupling relationship and reasons and fail to propose policy implications for provinces based on energy and ICT investment features. We investigate the decoupling relationship between ICT investments and energy consumption in China's 30 provinces, exploring factors impacting decoupling using the Generalized Divisia Index Method decomposition analysis, including ICT investment scale, revenue scale, gross investment scale, energy intensity of ICT investment scale, energy intensity of ICT revenue, energy intensity of gross investment, ICT investment structure, and efficiency. We find most Chinese provinces showed weak decoupling between energy consumption and ICT investment from 2006 to 2020, except for Beijing, Tianjin, Sichuan, and Hubei which achieved strong decoupling during the 13th Five-Year-Plan period. In many provinces, ICT investment, ICT revenue, and gross fixed asset investment led to an increase in the decoupling index, but energy intensities of these factors were found to significantly reduce the decoupling index. Furthermore, we use K-Means clustering to classify China's provinces based on four ICT-related factors and propose targeted energy-saving policies for each cluster, considering their respective ICT investment characteristics.
引用
收藏
页数:14
相关论文
共 93 条
[1]   Decomposing the. influencing factors of energy consumption in Tunisian transportation sector using the LMDI method [J].
Achour, Houda ;
Belloumi, Mounir .
TRANSPORT POLICY, 2016, 52 :64-71
[2]   An empirical analysis of the non-linear effects of natural gas, nuclear energy, renewable energy and ICT-Trade in leading CO2 emitter countries: Policy towards CO2 mitigation and economic sustainability [J].
Azam, Anam ;
Rafiq, Muhammad ;
Shafique, Muhammad ;
Yuan, Jiahai .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2021, 286
[3]  
B.P, 2022, About us
[4]   Dynamic influence of aging, industrial innovations, and ICT on tourism development and renewable energy consumption in BRICS economies [J].
Bano, Sadia ;
Liu, Lu ;
Khan, Anwar .
RENEWABLE ENERGY, 2022, 192 :431-442
[5]   Energy consumption in China: Spatial effects of industrial concentration, localization, and diversity [J].
Cai, Yuanyuan ;
Hu, Zhiqiang .
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 852
[6]   Information and communication technologies development and the resource curse [J].
Chang, Lei ;
Shi, Fanglan ;
Taghizadeh-Hesary, Farhad ;
Saydaliev, Hayot Berk .
RESOURCES POLICY, 2023, 80
[7]   Potential Role of Fiscal Decentralization on Interprovincial Differences in CO2 Emissions in China [J].
Cheng, Shulei ;
Fan, Wei ;
Meng, Fanxin ;
Chen, Jiandong ;
Liang, Sai ;
Song, Malin ;
Liu, Gengyuan ;
Casazza, Marco .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2021, 55 (02) :813-822
[8]   Multi-sectoral determinants of carbon emission inequality in Chinese clustering cities [J].
Cheng, Shulei ;
Fan, Wei ;
Zhang, Jian ;
Wang, Ning ;
Meng, Fanxin ;
Liu, Gengyuan .
ENERGY, 2021, 214 (214)
[9]   The impact of the urban digital economy on China's carbon intensity: Spatial spillover and mediating effect [J].
Cheng, Yu ;
Zhang, Yue ;
Wang, Jingjing ;
Jiang, Jinxing .
RESOURCES CONSERVATION AND RECYCLING, 2023, 189
[10]   The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach [J].
Cho, Youngsang ;
Lee, Jongsu ;
Kim, Tai-Yoo .
ENERGY POLICY, 2007, 35 (09) :4730-4738