Comparison of Turkey's performance of greenhouse gas emissions and local/regional pollutants with EU countries

Sözen, Adnan; Alp, İhsan

doi:10.1016/j.enpol.2009.06.069

Cited by 30 publications

(9 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hu and Wang (2006) and Hu and Kao (2007) incorporated the total-factor energy efficiency (TFEE) index in the DEA model, resulting in an approach that was subsequently applied to Japan by Hu (2008, 2013), to Taiwan by Hu et al (2012), and to OECD countries by Honma and Hu (2014). Moreover, Sözen and Alp (2009) compared Turkey's energy efficiency with that of the EU countries by incorporating energy consumption, greenhouse gas emissions, and local pollutants into the DEA model. Lozano and Gutiérreza (2008) proposed DEA models with undesirable outputs to estimate maximum GDP (minimum GHG emissions) compatible with given levels of population, energy intensity, and carbonization intensity (levels of population, GDP, energy intensity, or carbonization index).…”

Section: Introductionmentioning

confidence: 99%

A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions

Honma,

2014

Energy

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions

Honma,

2014

Energy

View full text Add to dashboard Cite

“…A DMU is defined as the concrete or intangible system responsible for transforming inputs into outputs, and whose performance is evaluated. Examples of such units to which DEA has been applied include nations, banks, hospitals, schools, airports, tax offices, libraries, universities or their departments, and also environmental and energy organizations (Emrouznejad et al, 2008;Ray, 2004;Cook & Seiford, 2009;Sözen & Alp, 2009;Alp & Sözen, 2011). Note that one advantage of DEA is that it can be applied to nonprofit organizations participating in public programs.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis

2019

Self Cite

View full text Add to dashboard Cite

Global competition enables countries' advantageous sectors to stand out as an indicator of their economic power. The importance of these sectors may vary by country or the time period they operate in. The textile industry is one of the sectors that significantly contributes to Turkey's economic growth. Thus, it is important to monitor the financial activities of the firms in the textile sector as a performance indicator since it is evident that the financial efficiency of each company will contribute positively to the overall efficiency of the whole sector. In this study, the financial activities of 19 firms in the textile sector being traded on Borsa Istanbul (BIST) for the period 2008-2017 are examined. For efficiency analysis, DEA (Data Envelopment Analysis) -Window Analysis method was applied by using financial indicators of these companies. It was observed that the highest average efficiency value of the companies was realized in 2017 with 94.09%. The average activity levels in other years were found to be in the range of 60%-90%. In the empirical analysis, the efficiency values of the top five companies were determined to be at the level of 90%-100%. DESA has achieved the most successful performance in average efficiencies with a score of 98.04 when the whole period is considered. SÖNMEZ and MENDERES firms have taken the second and the third places with scores of 97.40 and 94.74, respectively. The close performances of the top three firms were also observed in three-years windows. However, in the three-year window analysis, SÖNMEZ ranked the first, DESA ranked the second and MENDERES ranked the third according to their average scores. One of the reasons for this small difference between the rankings is that, firstly, the firms' performances have been very close to each other, and secondly the effect of the low score (76.11) obtained by SÖNMEZ in 2008 has been diminished for the firm in the three-year window analysis. KARSU occupied the last place with the lowest average efficiency score in both rankings.

show abstract

“…A DMU is defined as the concrete or intangible systems responsible for transforming inputs into outputs, and whose performance is evaluated. Examples of such units to which DEA has been applied are as follows: nations, banks, hospitals, schools, airports, tax offices, libraries, universities or their departments and also environment and energy organizations (Emrouznejad et al, 2008;Ray, 2004;Cook and Seiford, 2009;Sözen and Alp, 2009;Alp and Sözen, 2011). Note that one advantage of DEA is that it can be applied to not-for-profit organizations participating in public programs.…”

Section: Data Envelopment Analysismentioning

confidence: 99%

An Evaluation With Window Analysis to Determine the Environmental Efficiencies of the Countries That Pollute the World

Alp

Küpeli

2018

Uluslararası İktisadi Ve İdari İncelemeler Dergisi

Self Cite

View full text Add to dashboard Cite

A b s t r a c tAs it is known, The Kyoto Protocol is an international agreement aims to reduce global warming and manmade 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.

show abstract

Comparison of Turkey's performance of greenhouse gas emissions and local/regional pollutants with EU countries

Cited by 30 publications

References 12 publications

A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions

A panel data parametric frontier technique for measuring total-factor energy efficiency: An application to Japanese regions

Determination of the Efficiencies of Textile Firms Listed in Borsa İstanbul by Using DEA-Window Analysis

An Evaluation With Window Analysis to Determine the Environmental Efficiencies of the Countries That Pollute the World

Contact Info

Product

Resources

About