Araştırma Makalesi
BibTex RIS Kaynak Göster

Parametric vs. Non-Parametric Efficiency Assessment: Case of Power Plants in Turkey

Yıl 2017, , 21 - 42, 08.12.2017
https://doi.org/10.17482/uumfd.364087

Öz

Throughout the study, the operational and long term investment
performances of various power plants in Turkey are assessed and compared using Stochastic
Frontier Analysis (SFA) and Data
Envelopment Analysis (DEA). The data set is composed of 65 thermal, hydro and
wind power plants with private and public ownership. Efficiency indices,
reflecting operational and investment performance, are described and elaborated.
Returns to scale, (constant and variable), assurance region, slack based
measure, system comparison and bilateral type DEA models as well as stochastic
frontier analysis employing the Cobb-Douglas and Translog production functions are
used in the analysis. An analysis of returns to scale is carried out. The
properties of the production frontiers are described for all efficiency
indices. Public-private sector plants, renewable-thermal plants as well as
natural gas-coal versus oil fired plants are compared according to their efficiency
performance values. Efficiency scores obtained from DEA and SFA are compared and some relationships are
identified. Interesting relationship are identified by elaborating the efficiency
indices and various input/output factors. Even though natural gas fired power
plants outperforms the coal fired ones in terms of investment efficiency, in
general, reverse is true for operational performance under variable returns to
scale.

Kaynakça

  • Aigner, D.J., Lovell, C.A.K. and Schmidt P. (1977) Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21-37. doi: 10.1016/0304-4076(77)90052-5
  • Bakos, G.C, Tsagas N.F. (2003) Technoeconomic Assessment of a Hybrid Solar/Wind Installation for Energy Saving, Energy and Buildings, 35, 139-145. doi: 10.1016/S0378-7788(02)00023-3
  • Banker, R.D., Charnes A. and Cooper W.W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), 1078-1092. doi: 10.1287/mnsc.30.9.1078
  • Banker, R.D., Thrall R.M. (1992) Estimating Most Productive Scale Size Using Data Envelopment Analysis, European Journal of Operational Research, 62, 74-84. doi: 10.1016/0377-2217(84)90006-7
  • Bauer, P.W. (1990) Recent Developments in the Econometric Estimation of Frontiers, Journal of Econometrics, 46, 39-56. doi: 10.1016/0304-4076(90)90046-V
  • Coelli, T.J. (1992) A Computer Program for Frontier Production Function Estimation: Frontier, Version 2.0., Economics Letters, 39, 29-32. doi: 10.1016/0165-1765(92)90096-H
  • Coelli, T., Rao, D. S. P., Battese, G. E. (1998) An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, London.
  • Charnes, A., Cooper W.W. and Rhodes E. (1978) Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2, 429-444. doi: 10.1016/0377-2217(78)90138-8
  • Dyson, R.G., Thanassoulis E. and Foster M.J. (1987) Relative Efficiency Assessments Using Data Envelopment Analysis: An Application to Data on Rates Departments, Journal of Operational Research Society, 38(5), 397-411. doi: 10.2307/2582729
  • Erdem, H. H., Akkaya, V. A., Cetin, B., Dagdas, A., Sevilgen, S. H., Sahin, B., Teke, I., Gungor, C. and Atas, S., Comparative energetic and exergetic performance analyses for coal-fired thermal power plants in Turkey, International Journal of Thermal Sciences, Volume 48, Issue 11, 2009, Pages 2179-2186. doi: 10.1016/j.ijthermalsci.2009.03.007
  • ExternE (1995) Externalities of Energy- Volumes 2, 3, and 6, The European Commission, Luxembourg, (http://www.externe.jrc.es, 2003).
  • Forsund, F.R., Lovell, C.A.K. and Schmidt, P. (1980) A Survey of Frontier Production Functions and of their Relationship to Efficiency Measurement, Journal of Econometrics, 13; 5-25. doi: 10.1016/0304-4076(80)90040-8
  • Golany, B., Roll Y. and Rybak D. (1994) Measuring Efficiencies of Power Plants in Israel by Data Envelopment Analysis, IEEE Transactiıns on Engineering Management, 41(3); 291-301. doi: 10.1109/17.310144
  • Goto M., Tsutsui M. (2008) Technical efficiency and impacts of deregulation: An analysis of three functions in U.S. electric power utilities during the period from 1992 through 2000, Energy Economics, 30(1), 15-38. doi: 10.1016/j.eneco.2006.05.020
  • Greene, W.H. (1993) The Econometric Approach to Efficiency Analaysis. In Fried, H.O., Lovell, C.A.K. and Schmidt, S.S.(Eds), The Measurement of Productive Efficiency. Oxford University Press: New York, 68-119.
  • IEA-International Energy Agency (2001) Energy Policies of IEA Countries Turkey 2001 Review, Paris.
  • Korhonen, P.J. and Luptacik M. (2004) Eco-efficiency Analysis of Power Plants: An Extension of Data Envelopment Analysis, European Journal of Operational Research, 154(2), 437-446. doi: 10.1016/S0377-2217(03)00180-2
  • Kwak, H.Y., Kim D.J., and Jeon J.S. (2003) Exergetic and Thermoeconomic Analysis of Power Plants, Energy, 28, 343-360. doi: 10.1016/S0360-5442(02)00138-X
  • Liu Y., Ye L., Benoit I., Liu X., Cheng Y., Morel G. and Fu C. (2003) Economic Performance Evaluation Method for Hydroelectric Generating Units, Energy Conversion and Management, 44(6), 797-808. doi: 10.1016/S0196-8904(02)00098-5
  • Olatubi W. O., Dismuke D. E. (2000) A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance, Utilities Policy, 9(2); 47-59. doi: 10.1016/S0957-1787(01)00004-2
  • Mecit, E. D., Alp, İ., (2013) A new proposed model of restricted data envelopment analysis by correlation coefficients, Applied Mathematical Modelling, 37(5), 3407-3425. doi: 10.1016/j.apm.2012.07.010
  • Meeusen, W. and van den Broeck, J. (1977) Efficiency Estimation from Cobb-Douglas Production Functions With Composed Error, International Economic Review, 18; 435-444. doi: 10.2307/2525757
  • Park, S.U. and Lesourd J.B. (2000) The Efficiency of Conventional Fuel Power Plants in South Korea: A Comparison of Parametric and Non-parametric Approaches, International Journal of Production Economics, 63, 59-67. doi: 10.1016/S0925-5273(98)00252-7
  • Park, B., L. Simar and V. Zelenyuk. (2015) Categorical data in local maximum likelihood: theory and applications to productivity analysis, Journal of Productivity Analysis, 43 (2), 199–214. doi: 10.1007/s1112
  • Ray, S.C. (1998) Measuring Scale Efficiency form a Translog Production Function, Journal of Productivity Analysis, 11; 183-194. doi: 10.1023/A:100779220
  • Sàez, R.M., Linares P. and Leal J. (1998) Assessment of the Externalities of Biomass Energy and Comparison of Costs with Coal, Biomass and Bioenergy, 14, 469-478. doi: 10.1016/S0961-9534(98)00016-6
  • Sarica, K., Or, I. (2008) Efficiency Assessment of Turkish Power Plants using Data Envelopment Analysis, Energy, 32 (8), 1484-1499. Doi: 10.1016/j.energy.2006.10.016
  • Schmidt, P. (1986) Frontier Production Functions, Econometric Reviews, 4, 289-328. doi: 10.1080/07474938608800089
  • Sözen, A., Alp, İ., and Özdemir, A. (2010) Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis, Energy Policy, 38, (10), 6194-6203. doi: 10.1016/j.enpol.2010.06.005
  • Thompson, R.G., Singleton F.D., Thrall R.M. and Smith B.A. (1986) Comparative Site Evaluations for Locating a High-Energy Physics Lab. in Texas, Interfaces, 16,35-49. doi: 10.1287/inte.16.6.35
  • Tone, K. (2001) A Slack Based Measure of Efficiency in Data Envelopment Analysis, European Journal of Operational Research, 130(3), 498-509. doi: 10.1016/S0377-2217(99)00407-5
  • Tone, K. (1999) On Returns to Scale under Weight Restrictions in Data Envelopment Analysis, Research Report Series I-99-003. U.S. Nat. Grad. Inst. for Policy Studies.
  • Tone, K. (1993) Data Envelopment Analysis. JUSE Press Ltd. Tokyo.
  • Unsal, M. G., Örkcü, H. H. (2016) A note for weight restriction in the ARIII model based on correlation coefficients, Applied Mathematical Modelling, 40(23), 10820-10827. doi: 10.1016/j.apm.2016.06.052

PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ

Yıl 2017, , 21 - 42, 08.12.2017
https://doi.org/10.17482/uumfd.364087

Öz

Çalışma
boyunca Türkiye’deki çeşitli enerji santrallerinin operasyonel ve uzun vadeli
yatırım performansları Stokastik Sınır Analiz (SSA) ve Veri Zarflama Analizi
(VZA) kullanılarak karşılaştırıldı. Veri kümesi, özel ve kamu mülkiyetindeki 65
termal, hidroelektrik ve rüzgâr enerji santrallerinden oluşturuldu. Operasyonel
ve yatırım performansını yansıtan verimlilik endeksleri ortaya konup incelendi.
Analizde ölçek, sabit ve değişken, güvence bölgesi, gevşek tabanlı ölçüm,
sistem karşılaştırma ve bilateral tip DEA modelleri ile Cobb-Douglas ve
Translog üretim fonksiyonlarını kullanan stokastik sınır analizi kullanıldı.
Ölçek getirisinin analizine yönelik VZA ve SSA modellerinin ortaya koyduğu tüm
indisler kullanılarak değerlendirmeler yapıldı. Kamu-özel, termal-yenilenebilir
karşılaştırmalarının yanı sıra doğal gaz-kömür-petrol santralleri verimlilik
performans değerlerine göre karşılaştırıldı. VZA ve SSA metotlarından elde
edilen sonuçlar karşılaştırıldı. İlginç verimlilik endeksi ve çeşitli
giriş/çıkış faktörleri arasında ilişkiler ortaya kondu ve değerlendirildi.
Doğal gazla çalışan elektrik santralleri, yatırım verimliliği
açısından kömürle çalışan santrallerden daha iyi performans gösterse de,
değişken getiri oranlarına göre operasyonel performansı için tersi geçerlidir.

Kaynakça

  • Aigner, D.J., Lovell, C.A.K. and Schmidt P. (1977) Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6, 21-37. doi: 10.1016/0304-4076(77)90052-5
  • Bakos, G.C, Tsagas N.F. (2003) Technoeconomic Assessment of a Hybrid Solar/Wind Installation for Energy Saving, Energy and Buildings, 35, 139-145. doi: 10.1016/S0378-7788(02)00023-3
  • Banker, R.D., Charnes A. and Cooper W.W. (1984) Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30(9), 1078-1092. doi: 10.1287/mnsc.30.9.1078
  • Banker, R.D., Thrall R.M. (1992) Estimating Most Productive Scale Size Using Data Envelopment Analysis, European Journal of Operational Research, 62, 74-84. doi: 10.1016/0377-2217(84)90006-7
  • Bauer, P.W. (1990) Recent Developments in the Econometric Estimation of Frontiers, Journal of Econometrics, 46, 39-56. doi: 10.1016/0304-4076(90)90046-V
  • Coelli, T.J. (1992) A Computer Program for Frontier Production Function Estimation: Frontier, Version 2.0., Economics Letters, 39, 29-32. doi: 10.1016/0165-1765(92)90096-H
  • Coelli, T., Rao, D. S. P., Battese, G. E. (1998) An Introduction to Efficiency and Productivity Analysis, Kluwer Academic Publishers, London.
  • Charnes, A., Cooper W.W. and Rhodes E. (1978) Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2, 429-444. doi: 10.1016/0377-2217(78)90138-8
  • Dyson, R.G., Thanassoulis E. and Foster M.J. (1987) Relative Efficiency Assessments Using Data Envelopment Analysis: An Application to Data on Rates Departments, Journal of Operational Research Society, 38(5), 397-411. doi: 10.2307/2582729
  • Erdem, H. H., Akkaya, V. A., Cetin, B., Dagdas, A., Sevilgen, S. H., Sahin, B., Teke, I., Gungor, C. and Atas, S., Comparative energetic and exergetic performance analyses for coal-fired thermal power plants in Turkey, International Journal of Thermal Sciences, Volume 48, Issue 11, 2009, Pages 2179-2186. doi: 10.1016/j.ijthermalsci.2009.03.007
  • ExternE (1995) Externalities of Energy- Volumes 2, 3, and 6, The European Commission, Luxembourg, (http://www.externe.jrc.es, 2003).
  • Forsund, F.R., Lovell, C.A.K. and Schmidt, P. (1980) A Survey of Frontier Production Functions and of their Relationship to Efficiency Measurement, Journal of Econometrics, 13; 5-25. doi: 10.1016/0304-4076(80)90040-8
  • Golany, B., Roll Y. and Rybak D. (1994) Measuring Efficiencies of Power Plants in Israel by Data Envelopment Analysis, IEEE Transactiıns on Engineering Management, 41(3); 291-301. doi: 10.1109/17.310144
  • Goto M., Tsutsui M. (2008) Technical efficiency and impacts of deregulation: An analysis of three functions in U.S. electric power utilities during the period from 1992 through 2000, Energy Economics, 30(1), 15-38. doi: 10.1016/j.eneco.2006.05.020
  • Greene, W.H. (1993) The Econometric Approach to Efficiency Analaysis. In Fried, H.O., Lovell, C.A.K. and Schmidt, S.S.(Eds), The Measurement of Productive Efficiency. Oxford University Press: New York, 68-119.
  • IEA-International Energy Agency (2001) Energy Policies of IEA Countries Turkey 2001 Review, Paris.
  • Korhonen, P.J. and Luptacik M. (2004) Eco-efficiency Analysis of Power Plants: An Extension of Data Envelopment Analysis, European Journal of Operational Research, 154(2), 437-446. doi: 10.1016/S0377-2217(03)00180-2
  • Kwak, H.Y., Kim D.J., and Jeon J.S. (2003) Exergetic and Thermoeconomic Analysis of Power Plants, Energy, 28, 343-360. doi: 10.1016/S0360-5442(02)00138-X
  • Liu Y., Ye L., Benoit I., Liu X., Cheng Y., Morel G. and Fu C. (2003) Economic Performance Evaluation Method for Hydroelectric Generating Units, Energy Conversion and Management, 44(6), 797-808. doi: 10.1016/S0196-8904(02)00098-5
  • Olatubi W. O., Dismuke D. E. (2000) A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance, Utilities Policy, 9(2); 47-59. doi: 10.1016/S0957-1787(01)00004-2
  • Mecit, E. D., Alp, İ., (2013) A new proposed model of restricted data envelopment analysis by correlation coefficients, Applied Mathematical Modelling, 37(5), 3407-3425. doi: 10.1016/j.apm.2012.07.010
  • Meeusen, W. and van den Broeck, J. (1977) Efficiency Estimation from Cobb-Douglas Production Functions With Composed Error, International Economic Review, 18; 435-444. doi: 10.2307/2525757
  • Park, S.U. and Lesourd J.B. (2000) The Efficiency of Conventional Fuel Power Plants in South Korea: A Comparison of Parametric and Non-parametric Approaches, International Journal of Production Economics, 63, 59-67. doi: 10.1016/S0925-5273(98)00252-7
  • Park, B., L. Simar and V. Zelenyuk. (2015) Categorical data in local maximum likelihood: theory and applications to productivity analysis, Journal of Productivity Analysis, 43 (2), 199–214. doi: 10.1007/s1112
  • Ray, S.C. (1998) Measuring Scale Efficiency form a Translog Production Function, Journal of Productivity Analysis, 11; 183-194. doi: 10.1023/A:100779220
  • Sàez, R.M., Linares P. and Leal J. (1998) Assessment of the Externalities of Biomass Energy and Comparison of Costs with Coal, Biomass and Bioenergy, 14, 469-478. doi: 10.1016/S0961-9534(98)00016-6
  • Sarica, K., Or, I. (2008) Efficiency Assessment of Turkish Power Plants using Data Envelopment Analysis, Energy, 32 (8), 1484-1499. Doi: 10.1016/j.energy.2006.10.016
  • Schmidt, P. (1986) Frontier Production Functions, Econometric Reviews, 4, 289-328. doi: 10.1080/07474938608800089
  • Sözen, A., Alp, İ., and Özdemir, A. (2010) Assessment of operational and environmental performance of the thermal power plants in Turkey by using data envelopment analysis, Energy Policy, 38, (10), 6194-6203. doi: 10.1016/j.enpol.2010.06.005
  • Thompson, R.G., Singleton F.D., Thrall R.M. and Smith B.A. (1986) Comparative Site Evaluations for Locating a High-Energy Physics Lab. in Texas, Interfaces, 16,35-49. doi: 10.1287/inte.16.6.35
  • Tone, K. (2001) A Slack Based Measure of Efficiency in Data Envelopment Analysis, European Journal of Operational Research, 130(3), 498-509. doi: 10.1016/S0377-2217(99)00407-5
  • Tone, K. (1999) On Returns to Scale under Weight Restrictions in Data Envelopment Analysis, Research Report Series I-99-003. U.S. Nat. Grad. Inst. for Policy Studies.
  • Tone, K. (1993) Data Envelopment Analysis. JUSE Press Ltd. Tokyo.
  • Unsal, M. G., Örkcü, H. H. (2016) A note for weight restriction in the ARIII model based on correlation coefficients, Applied Mathematical Modelling, 40(23), 10820-10827. doi: 10.1016/j.apm.2016.06.052
Toplam 34 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Araştırma Makaleleri
Yazarlar

Kemal Sarıca

Yayımlanma Tarihi 8 Aralık 2017
Gönderilme Tarihi 8 Ağustos 2016
Kabul Tarihi 18 Eylül 2017
Yayımlandığı Sayı Yıl 2017

Kaynak Göster

APA Sarıca, K. (2017). PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, 22(3), 21-42. https://doi.org/10.17482/uumfd.364087
AMA Sarıca K. PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ. UUJFE. Aralık 2017;22(3):21-42. doi:10.17482/uumfd.364087
Chicago Sarıca, Kemal. “PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 22, sy. 3 (Aralık 2017): 21-42. https://doi.org/10.17482/uumfd.364087.
EndNote Sarıca K (01 Aralık 2017) PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 22 3 21–42.
IEEE K. Sarıca, “PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ”, UUJFE, c. 22, sy. 3, ss. 21–42, 2017, doi: 10.17482/uumfd.364087.
ISNAD Sarıca, Kemal. “PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi 22/3 (Aralık 2017), 21-42. https://doi.org/10.17482/uumfd.364087.
JAMA Sarıca K. PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ. UUJFE. 2017;22:21–42.
MLA Sarıca, Kemal. “PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ”. Uludağ Üniversitesi Mühendislik Fakültesi Dergisi, c. 22, sy. 3, 2017, ss. 21-42, doi:10.17482/uumfd.364087.
Vancouver Sarıca K. PARAMETRİK VE PARAMETRİK OLMAYAN VERİMLİLİK DEĞERLENDİRMESİ VE KARŞILAŞTIRILMASI: TÜRKİYE ELEKTRİK SANTRALLERİ ÖRNEĞİ. UUJFE. 2017;22(3):21-42.

DUYURU:

30.03.2021- Nisan 2021 (26/1) sayımızdan itibaren TR-Dizin yeni kuralları gereği, dergimizde basılacak makalelerde, ilk gönderim aşamasında Telif Hakkı Formu yanısıra, Çıkar Çatışması Bildirim Formu ve Yazar Katkısı Bildirim Formu da tüm yazarlarca imzalanarak gönderilmelidir. Yayınlanacak makalelerde de makale metni içinde "Çıkar Çatışması" ve "Yazar Katkısı" bölümleri yer alacaktır. İlk gönderim aşamasında doldurulması gereken yeni formlara "Yazım Kuralları" ve "Makale Gönderim Süreci" sayfalarımızdan ulaşılabilir. (Değerlendirme süreci bu tarihten önce tamamlanıp basımı bekleyen makalelerin yanısıra değerlendirme süreci devam eden makaleler için, yazarlar tarafından ilgili formlar doldurularak sisteme yüklenmelidir).  Makale şablonları da, bu değişiklik doğrultusunda güncellenmiştir. Tüm yazarlarımıza önemle duyurulur.

Bursa Uludağ Üniversitesi, Mühendislik Fakültesi Dekanlığı, Görükle Kampüsü, Nilüfer, 16059 Bursa. Tel: (224) 294 1907, Faks: (224) 294 1903, e-posta: mmfd@uludag.edu.tr