International Journal of Management and Applied Science (IJMAS)
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Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 66
Paper Published : 4089
No. of Authors : 8401
  Journal Paper




Paper Title :
Comparison of High and Upper-Middle Income Level Countries in terms of Sustainable Energy

Author :Bilge Acar Bolat, Neslihan Fidan Keçeci

Article Citation :Bilge Acar Bolat ,Neslihan Fidan Keçeci , (2017 ) " Comparison of High and Upper-Middle Income Level Countries in terms of Sustainable Energy " , International Journal of Management and Applied Science (IJMAS) , pp. 60-62, Volume-3,Issue-8

Abstract : Sustainable energy is crucial for sustainable development. Access to modern energy services is fundamental for human development. One fifth of people in the world still lacks of access to electricity. This is one of the major barriers to eliminate poverty. Throughout the world, inefficient energy use damages economic productivity and energy-related emissions which contributes significantly to dangerous warming of world. One of the Sustainable Development Goals (SDGs) is Sustainable energy for All (SE4All), which is global initiative co-chaired by the United Nations and World Bank. SE4All has three key development objectives for the energy sector to ensure universal access to modern energy services, double the global rate of improvement in energy efficiency, and double the share of renewable energy in the global energy mix by 2030. In this study, High and upper-middle income level countries are compared in terms of SE4All indicators covering 2012. The preferred method is logistic regression analysis, as a special type of regression analysis where binary dependent variable is related to a set of independent variables. As the dependent variable is country income levels, the independent variables are indicators of energy access, energy efficiency, renewable energy in our study. The logistic regression analysis is used to assess the association between SE4All indicators and country income levels. Key words - Energy indicators, Income level, Logistic Regression Analysis, Sustainable Energy for All (SE4All).

Type : Research paper


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