Analysis of influencing factors of energy consumption in Beijing: based on the IPAT model

被引:5
作者
Zhang, Zheng [1 ,2 ]
Mu, Xianzhong [1 ,2 ]
Hu, Guangwen [1 ,2 ]
机构
[1] Beijing Univ Technol, Fac Mat & Mfg, Beijing, Peoples R China
[2] Beijing Univ Technol, Inst Circular Econ, Beijing, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Energy consumption; IPAT model; Complete decomposition model; Beijing; ECONOMIC-GROWTH; CO2; EMISSIONS; DECOMPOSITION ANALYSIS; SHANDONG PROVINCE; SAVING BEHAVIOR; CARBON EMISSION; CHINA; DEMAND; IMPACT; INDEX;
D O I
10.1007/s10668-023-03900-y
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beijing is a typical energy-imported city, and the study of energy consumption factors in Beijing is important for the sustainable development of Beijing. There are many influencing factors of energy consumption in Beijing, and the influence degree of each factor differs in different development periods. By constructing the IPAT model of energy consumption change in Beijing, this paper breaks down the factors that cause the change in energy consumption in Beijing into population, affluence, and technological progress. The results show that Beijing is a highly energy-consuming city and the change in energy consumption in Beijing is the superposition of multiple effects. The energy consumption change caused by population growth in Beijing continues to increase through data from 2006 to 2020, but begins to show a downward trend, with a maximum change in energy consumption of 19.8 million tons of standard coal. The largest change in energy consumption is caused by per capita GDP growth, which reached 50.3 million tons of standard coal in 2018-2019, and the effect caused by affluence is greater than the impact of population changes. Technological advances always reduce energy consumption and are increasingly effective. To reduce energy consumption and improve environmental quality, the following two things need to be done: first, to continuously control the population of Beijing, and second, to enhance the development and introduction of innovative technologies for energy conservation.
引用
收藏
页码:12569 / 12588
页数:20
相关论文
共 79 条
[51]   To reduce energy consumption and to maintain rapid economic growth: Analysis of the condition in China based on expended IPAT model [J].
Song, Malin ;
Wang, Shuhong ;
Yu, Huayin ;
Yang, Li ;
Wu, Jie .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2011, 15 (09) :5129-5134
[52]   Energy and the city: density, buildings and transport [J].
Steemers, K .
ENERGY AND BUILDINGS, 2003, 35 (01) :3-14
[53]   Changes of energy consumption with economic development when an economy becomes more productive [J].
Tang, Erzi ;
Peng, Chong ;
Xu, Yilan .
JOURNAL OF CLEANER PRODUCTION, 2018, 196 :788-795
[54]   Impact of technology on the relation between disaggregated energy consumption and CO2 emission in populous countries of Asia [J].
Tang, Zhengxia ;
Batool, Zakia ;
Ali, Sajjad ;
Haseeb, Mohammad ;
Jain, Vipin ;
Raza, Syed Muhammad Faraz ;
Chakrabarti, Prasun .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (26) :68327-68338
[55]   Using the IPAT identity and decoupling analysis to estimate water footprint variations for five major food crops in China from 1978 to 2010 [J].
Tian, Yuanhong ;
Ruth, Matthias ;
Zhu, Dajian .
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2017, 19 (06) :2355-2375
[56]   Determinants of energy consumption in the tertiary sector: Evidence at European level [J].
Tzeiranaki, Sofia Tsemekidi ;
Bertoldi, Paolo ;
Economidou, Marina ;
Clementi, Enrico Luca ;
Gonzalez-Torres, Maria .
ENERGY REPORTS, 2023, 9 :5125-5143
[57]   A STIRPAT-based investigation on the role of economic growth, urbanization, and energy consumption in shaping a sustainable environment in the Mediterranean region [J].
Ulucak, Recep ;
Erdogan, Fatma ;
Bostanci, Seda H. .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (39) :55290-55301
[58]   Research on club convergence effect and its influencing factors of per capita energy consumption: Evidence from the data of 243 prefecture-level cities in China [J].
Wang, Bangjun ;
Cui, Linyu ;
Feng, Ji ;
Yue, Wang .
ENERGY, 2023, 263
[59]   Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang [J].
Wang, Changjian ;
Wang, Fei ;
Zhang, Xinlin ;
Yang, Yu ;
Su, Yongxian ;
Ye, Yuyao ;
Zhang, Hongou .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 67 :51-61
[60]   Scenario Analysis of China's Primary Energy Demand and CO2 Emissions Based on IPAT Model [J].
Wang Di ;
Nie Rui ;
Shi Hai-ying .
2010 INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND DEVELOPMENT (ICEED2010), 2011, 5 :365-369