Structural Decomposition Analysis to Investigate the Changes in Energy Consumption in Pakistan

被引:4
作者
Ali, Yousaf [1 ]
Saleem, Sania Binte [1 ]
Sabir, Muhammad [2 ]
机构
[1] Ghulam Ishaq Khan Inst Engn Sci & Technol, Dept Management Sci & Humanities, Swabi, Kpk, Pakistan
[2] Natl Univ Sci & Technol, NUST Business Sch, Islamabad, Pakistan
关键词
Energy consumption; energy intensity; structural decomposition analysis; CO2; EMISSIONS; CHINA; INTENSITY; DRIVERS; INDUSTRY; ECONOMY; GROWTH; IMPACT;
D O I
10.1007/s11424-020-8148-6
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
The world energy demand is increasing due to rapid growth in the global economy, industrialization, and urbanization. Pakistan is also confronted with increasing energy demand on one hand and is confronted with the challenge of energy demand-supply gap on the other hand. Since energy is the major driver for growth, it becomes important to investigate the trends of energy consumption in a country and the factors that are most affecting the changes in the use of energy. This particular study aims to investigate the use of energy by all the economic sectors of Pakistan during 2000-2012. The major contribution is the first time application of structural decomposition analysis (SDA) for energy usage along with using Input-Output data for the period of 2002-2012. The results show the fluctuation of the energy intensity of the sectors throughout the study period. Also, the overall effect of energy intensity is negative on energy consumption and it shows a negative contribution value of -80.90% for the study period. Furthermore, the focus on more energy-intensive products like cement, automobiles, iron, steel products and the increasing final demand of the economy contributes to the growth of energy consumption in Pakistan during 2000-2012.
引用
收藏
页码:1497 / 1515
页数:19
相关论文
共 69 条
[1]  
Abbas A, 2018, FRESEN ENVIRON BULL, V27, P1053
[2]  
Ahmad M, 1991, PAKISTAN EC SOCIAL R, V29, P57
[3]   Decoupling economic growth from carbon dioxide emissions: A decomposition analysis of Italian energy consumption [J].
Andreoni, V. ;
Galmarini, S. .
ENERGY, 2012, 44 (01) :682-691
[4]   Decomposition analysis for policymaking in energy: which is the preferred method? [J].
Ang, BW .
ENERGY POLICY, 2004, 32 (09) :1131-1139
[5]  
[Anonymous], 2011, EC SURV PAK 2011 12
[6]  
[Anonymous], 2010, EC SURV PAK 2010 11
[7]  
[Anonymous], 2003, STRUCTURAL DECOMPOSI
[8]  
[Anonymous], 2001, EC SURV PAK 2001 02
[9]  
[Anonymous], 2000, EC SURV PAK 2000 01
[10]  
[Anonymous], 2014, ANN PLAN 2014 2015, P119