Decomposition analysis of debt's impact on China's energy consumption

被引:26
作者
Sun, Xiaoqi [1 ]
Liu, Xiaojia [2 ]
机构
[1] Shenzhen Univ, Inst Chinas Overseas Interests, Shenzhen 518060, Guangdong, Peoples R China
[2] Shandong Technol & Business Univ, Sch Econ, Yantai 264005, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Decomposition analysis; Energy consumption; Debt's impact; China; FINANCIAL DEVELOPMENT; CARBON EMISSIONS; ECONOMIC-GROWTH; CO2; EMISSION; CREDIT CONSTRAINTS; INDUSTRIAL SECTORS; DRIVING FORCES; LMDI MODEL; DEMAND; REDUCTION;
D O I
10.1016/j.enpol.2020.111802
中图分类号
F [经济];
学科分类号
02 ;
摘要
Debt can influence the energy consumption of private sectors and public agencies by changing their fiscal budget constraints. From 1996 to 2016, China has had rapid debt growth and become the second-largest borrower in the world. Additionally, China has been the largest energy consumer since 2009. The impact of debt growth on its energy consumption, however, is not much addressed in the literature. Using an extended LMDI model, we investigate the impact of China's debt on its energy consumption from 1996 to 2016 in a new way. The results show that (1) among the closed set of debt-related factors and other conventional variables studied, private debt per capita makes the strongest contribution to China's energy consumption, and population has a moderate impact on the growth of energy consumption; (2) energy efficiency improvement, output efficiency of government debt, debt structure adjustment, and increased tertiary industry share are mitigating forces of energy consumption. These results provide a new, holistic perspective for the Chinese government to formulate synergistic policies of risk control and pollution control.
引用
收藏
页数:12
相关论文
共 80 条
[1]  
Abbas S.M., 2010, IMF Working Papers, P1
[2]   LMDI decomposition approach: A guide for implementation [J].
Ang, B. W. .
ENERGY POLICY, 2015, 86 :233-238
[3]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[4]   A new energy decomposition method: perfect in decomposition and consistent in aggregation [J].
Ang, BW ;
Liu, FL .
ENERGY, 2001, 26 (06) :537-548
[5]  
[Anonymous], 1987, ENERGY J
[6]  
[Anonymous], 2007, TECH REP
[7]   Consumption and credit constraints: International evidence [J].
Bacchetta, P ;
Gerlach, S .
JOURNAL OF MONETARY ECONOMICS, 1997, 40 (02) :207-238
[8]   Defining the rebound effect [J].
Berkhout, PHG ;
Muskens, JC ;
Velthuijsen, JW .
ENERGY POLICY, 2000, 28 (6-7) :425-432
[9]   ENERGY COST OF GOODS AND SERVICES [J].
BULLARD, CW ;
HERENDEEN, RA .
ENERGY POLICY, 1975, 3 (04) :268-278
[10]   The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis [J].
Chai, Jian ;
Liang, Ting ;
Lai, Kin Keung ;
Zhang, Zhe George ;
Wang, Shouyang .
ENERGY POLICY, 2018, 119 :215-225