AN EVALUATION WITH WINDOW ANALYSIS TO DETERMINE THE ENVIRONMENTAL EFFICIENCIES OF THE COUNTRIES THAT POLLUTE THE WORLD

Year 2018, 18. EYI Special Issue, 855 - 870, 22.01.2018

İhsan Alp , Mihraç Küpeli

https://doi.org/10.18092/ulikidince.350090

Abstract

As it is known, The Kyoto Protocol is an international agreement aims to
reduce global warming and man-made greenhouse gas emissions. Approximately 160
countries entered into framework of the Kyoto Protocol and our world is
polluted by about 50 countries mostly. The purpose of this study is to
investigate values and the trends of performances of environmental/greenhouse
gas emissions of these 50 most polluted countries in period of 2005-2015. At
the same time, it is examined that the trend of the performance of Turkey in
the concerned years. Window Analysis (WA) is a DEA and operational research
(OR) based technique. DEA captures a moment photograph, each application is a
cross-sectional analysis of data. In some applications, observations for DMUs
are available over multiple time periods, so to perform an analysis where
interest focuses on changes over time is important. WA gives us trend of
changes of performance over time, and also details of the stability of
performance.

Keywords

data envelopment analysis, window analysis, greenhouse emission, performance

AN EVALUATION WITH WINDOW ANALYSIS TO DETERMINE THE ENVIRONMENTAL EFFICIENCIES OF THE COUNTRIES THAT POLLUTE THE WORLD

Abstract

Bilindiği gibi, Kyoto Protokolü küresel ısınmayı ve insan yapımı sera gazı salımını
azaltmayı amaçlayan uluslararası bir anlaşmadır. Kyoto Protokolü çerçevesine
yaklaşık 160 ülke girmektedir ve dünya çoğunlukla 50 ülke tarafından
kirletilmektedir. Bu çalışmanın amacı, 2005-2015 döneminde ençok kirleten 50
ülkenin çevre ve sera gazı emisyonlarının değerlerini ve eğilimlerini
araştırmaktır. Aynı zamanda Türkiye’nin bu zaman dilimindeki performans
eğilimini ve kararlılığını incelemektir. Window Analizi bir tür Veri Zarflama
Analizi’dir ve yöneylem araştırması tabanlı bir tekniktir. Veri Zarflama
Analizinde veriler kesitsel olarak analiz edilirler. Bazı uygulamalarda ise
karar verme birimleri için gözlemler çoklu zaman dilimlerinde mevcuttur. Bu
nedenle farklı zaman içindeki değişimlere odaklı bir analiz yapmak önemlidir.
Window analizi zaman içindeki performans değişimlerinin eğilimini ve performans
kararlığının detaylarını sunmaktadır.

Keywords

veri zarflama analizi, window analizi, sera gazı emisyonu, performans

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