Economic growth based in carbon dioxide emission intensity

被引：42
|
作者：
Vujovic, Tanja [1 ]
Petkovic, Zdravka [2 ]
Pavlovic, Milos [2 ]
Jovic, Srdjan [3 ]
机构：
[1] Fac Econ Sci, Ul Kolasinska 156, Kosovska Mitrovica 38220, Serbia
[2] Belgrade Business Sch, Higher Educ Inst Appl Studies, Kraljice Marije 73, Belgrade, Serbia
[3] Univ Pristina, Fac Tech Sci, Kneza Milosa 7, Kosovska Mitrovica 38220, Serbia
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2018年 / 506卷
关键词：
Neuro-fuzzy; Carbon dioxide emission intensity; Energy; Economic growth; FUZZY INFERENCE SYSTEM; RENEWABLE ENERGY; CO2; EMISSIONS; NONRENEWABLE ENERGY; SHEAR-STRENGTH; CONSUMPTION; PREDICTION; CHINA; BEAMS; GENERATION;
D O I：
10.1016/j.physa.2018.04.074
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Energy consumption could has great impact of economic development and on carbon dioxide emission (CO2) intensity. However there are many possibilities to avoid these undesirable problems. One of the solution is to use more alternative and renewable energy sources but CO2 emission intensity from the other sources need to be investigated more. Therefore in this article was analyzed the CO2 emission intensity based on the alternative, fossil and renewable energy. It was analyzed also the economic growth based on the CO2 emission intensity. Neuro-fuzzy method was applied to select the most impactful energy factor for the CO2 emission intensity and economic growth. Presented results confirmed that the alternative energy has the highest influence on the CO2 emission intensity. CO2 emissions intensity from solid fuel has the highest influence on the economic growth. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：179 / 185
页数：7
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