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THE PRODUCT-BASED EFFICIENCY EVALUATION OF TURKISH AGRICULTURAL SECTOR

Yıl 2020, Sayı: 1, 117 - 141, 13.01.2020

Öz

The main purpose of this study is to measure
efficiency and to observe efficiency change of produced 61 crops in the Turkish
agricultural sector in 2010 - 2016 period with using Data Envelopment Analysis
(DEA) and DEA-based Malmquist Total Factor Productivity Index. Each crop was
considered as a decision-making unit in both of analysis. Following the
efficiency analysis, Malmquist Total Factor Productivity Index analysis was
performed to evaluate the efficiency change between the periods. Thus,
efficiency change of crop production process in Turkish agricultural sector
between the years 2010 - 2016 could be observed and the opportunity to compare
their efficiency scores has been achieved between the periods under evaluation.
The aim is to provide a macro perspective on Turkish agriculture sector with
the results obtained. In efficiency analysis, the highest number of efficient
units in Turkish agriculture is found in the vegetables category during 2010 -
2016. The highest increase rate of Malmquist TFV index was observed in rye unit
with 40.2% and the biggest decrease rate was observed in leek unit with 31,8 %.
In terms of categories, the biggest progress on the Malmquist TFP index was
indicated by fruits, beverages and spice crops.



 

Kaynakça

  • A• ANDERSEN, J. L., BOGETOFT, P., (2007), Gains from Quota Trade: Theoretical Models and an Application to the Danish Fishery, European Review of Agricultural Economics, 34 (1), 105-127.
  • • ASMILD, M., HOUGAARD, J. L., (2006), Economic Versus Environmental Improvement Potentials of Danish Pig Farms, Agricultural economics, 35 (2), 171-181.
  • • ATICI, K. B., PODINOVSKI, V. V., (2015), Using Data Envelopment Analysis for the Assessment of Technical Efficiency of Units with Different Specialisations: An Application to Agriculture, Omega, 54, 72-83.
  • • BALCOMBE, K., FRASER, I., KIM, J. H., (2006), Estimating Technical Efficiency of Australian Dairy Farms Using Alternative Frontier Methodologies, Applied Economics, 38 (19), 2221-2236.
  • • BANKER, R. D., CHARNES, A., COOPER, W. W., (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management science, 30 (9), 1078-1092.
  • • BLANCARD, S., MARTIN, E., (2014), Energy Efficiency Measurement in Agriculture with Imprecise Energy Content Information, Energy Policy, 66, 198-208.
  • • CAVES, D. W., CHRISTENSEN, L. R., DIEWERT, W. E., (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity, Econometrica: Journal of the Econometric Society, 1393-1414.
  • • CHARNES, A., COOPER, W. W., LEWIN, A. Y., SEIFORD, L. M., (1994), Data Envelopment Analysis: Theory, Methodology and Applications, Boston, MA.: Kluwer Academic Publishers.
  • • CHARNES, A., COOPER, W. W., RHODES, E. (1978), Measuring the Efficiency of Decision Making Units, European journal of operational research, 2 (6), 429-444.
  • • COOPER, W. W., SEIFORD, L. M., TONE, K., (2006), Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References, Springer Science & Business Media.
  • • COOPER, W. W., SEIFORD, L. M., ZHU, J., (2011), Handbook on data envelopment analysis, Springer Science & Business Media.
  • • FARE, R., GROSSKOPF, S., NORRIS, M., ZHANG, Z., (1994), Productivity Growth, Technical Progress and Efficiency Change in Industrialized Countries, American economic review, 84 (1), 66-83.
  • • FARRELL, M. J., (1957), The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A (General), 120 (3), 253-290.
  • • GRIFELL-TATJÉ, E., LOVELL, C. K., (1995), A Note on the Malmquist Productivity Index, Economics letters, 47 (2), 169-175.
  • • GUZMÁN, I., ARCAS, N., (2008), The Usefulness of Accounting Information in the Measurement of Technical Efficiency in Agricultural Cooperatives, Annals of Public and Cooperative Economics, 79 (1), 107-131. • HAAG, S., JASKA, P., SEMPLE, J., (1992), Assessing the Relative Efficiency of Agricultural Production Units in the Blackland Prairie, Texas, Applied Economics, 24 (5), 559-565.
  • • KELLY, E., SHALLOO, L., GEARY, U., KINSELLA, A., WALLACE, M., (2012), Application of Data Envelopment Analysis to Measure Technical Efficiency on a Sample of Irish Dairy Farms, Irish journal of Agricultural and food research, 63-77.
  • • KOČIŠOVÁ, K., (2015), Application of the DEA on the Measurement of Efficiency in the EU Countries, Agric. Econ.–Czech, 61 (2), 51-62.
  • • MALMQUIST, S., (1953), Index Numbers and Indifference Surfaces, Trabajos de estadística, 4 (2), 209-242.
  • • MILLAN, J. A., ALDAZ, N., (1998), Agricultural Productivity of the Spanish Regions: A Non-Parametric Malmquist Analysis, Applied Economics, 30 (7), 875-884.
  • • MONCHUK, D. C., CHEN, Z., BONAPARTE, Y., (2010), Explaining Production Inefficiency in China’s Agriculture Using Data Envelopment Analysis and Semi-Parametric Bootstrapping, China Economic Review, 21 (2), 346-354.
  • • MOUSAVI AVVAL, S. H., RAFIEE, S., JAFARI, A., MOHAMMADI, A., (2011), Improving Energy Productivity of Sunflower Production Using Data Envelopment Analysis (DEA) Approach, Journal of the Science of Food and Agriculture, 91 (10), 1885-1892.
  • • MUGERA, A., OJEDE, A., (2014), Technical Efficiency in African Agriculture: Is It Catching up or Lagging Behind?, Journal of International Development, 26 (6), 779-795.
  • • OHE, Y., (2017), Assessing Managerial Efficiency of Educational Tourism in Agriculture: Case of Dairy Farms in Japan, Sustainability, 9 (11), 1931.
  • • REBOLLEDO-LEIVA, R., ANGULO-MEZA, L., IRIARTE, A., GONZÁLEZ-ARAYA, M. C., (2017), Joint Carbon Footprint Assessment and Data Envelopment Analysis for the Reduction of Greenhouse Gas Emissions in Agriculture Production, Science of the Total Environment, 593, 36-46.
  • • THIELE, H., BRODERSEN, C. M., (1999), Differences in Farm Efficiency in Market and Transition Economies: Empirical Evidence from West and East Germany, European Review of Agricultural Economics, 26 (3), 331-347.
  • • THIRTLE, C., PIESSE, J., LUSIGI, A., SUHARIYANTO, K., (2003), Multi-Factor Agricultural Productivity, Efficiency and Convergence in Botswana, 1981–1996, Journal of Development Economics, 71 (2), 605-624.
  • • TIPI, T., REHBER, E., (2006), Measuring Technical Efficiency and Total Factor Productivity in Agriculture: The Case of the South Marmara Region of Turkey, New Zealand Journal of Agricultural Research, 49 (2), 137-145.
  • • TONE, K., (2004), Malmquist Productivity Index, In Handbook on data envelopment analysis (pp. 203-227): Springer.
  • • ULUCAN, A., ATICI, K. B., (2010), Enerji ve Çevre Konularında Parametrik Olmayan Etkinlik Analizi ve Türkiye Elektrik Sanayii Uygulaması, HÜ İktisadi ve İdari Bilimler Fakültesi Dergisi, 28 (1), 173-203.
  • • VLONTZOS, G., NIAVIS, S., MANOS, B., (2014), A DEA Approach for Estimating the Agricultural Energy and Environmental Efficiency of EU Countries, Renewable and Sustainable Energy Reviews, 40, 91-96.

TÜRKİYE TARIM SEKTÖRÜNDE ÜRÜNLER BAZINDA ETKİNLİK DEĞERLENDİRMESİ

Yıl 2020, Sayı: 1, 117 - 141, 13.01.2020

Öz

Bu çalışmanın
temel amacı, 2010 - 2016 döneminde Türkiye tarım sektöründe üretimi yapılan 61
adet bitkisel ürünün Veri Zarflama Analizi (VZA) ve VZA Tabanlı Malmquist Toplam
Faktör Verimlilik (MTFV) Endeksi kullanılarak etkinliklerinin ölçülmesi ve
değerlendirme altındaki yıllar arasında etkinlik değişmelerinin gözlemlenmesidir.
Yapılan analizlerde, her bir bitkisel ürün, karar birimi olarak
değerlendirilmiştir. Etkinlik analizlerini takiben, dönemler arasındaki
etkinlik değişimini değerlendirmek amacıyla Malmquist Toplam Faktör Verimliliği
Endeksi analizleri yapılmıştır. Böylelikle, 2010 - 2016 yılları arasındaki
Türkiye düzeyinde ürün üretim süreç etkinlik değişmeleri gözlemlenebilmiş ve
değerlendirme altındaki dönemler arasında etkinlik skorlarını
karşılaştırılabilme imkânı sağlanmıştır. Elde edilen sonuçlar ile Türk tarım
sektörü üzerine makro boyutta bir bakış açısı sağlanması amaçlanmıştır.
Etkinlik analizlerinde, 2010 - 2016 yılları arasında Türk tarımında en yüksek
sayıda etkin birime sebzeler kategorisinde ulaşılmıştır. Malmquist TFV Endeksindeki
en büyük ilerleme % 40,2 ile çavdar biriminde, en büyük gerileme ise % 31,8 ile
pırasa biriminde gözlenmiştir.
Kategorik
açıdan değerlendirildiğinde,  Malmquist
TFV Endeksinde en büyük ilerlemeyi meyveler, içecek ve baharat bitkileri
sergilemiştir.

Kaynakça

  • A• ANDERSEN, J. L., BOGETOFT, P., (2007), Gains from Quota Trade: Theoretical Models and an Application to the Danish Fishery, European Review of Agricultural Economics, 34 (1), 105-127.
  • • ASMILD, M., HOUGAARD, J. L., (2006), Economic Versus Environmental Improvement Potentials of Danish Pig Farms, Agricultural economics, 35 (2), 171-181.
  • • ATICI, K. B., PODINOVSKI, V. V., (2015), Using Data Envelopment Analysis for the Assessment of Technical Efficiency of Units with Different Specialisations: An Application to Agriculture, Omega, 54, 72-83.
  • • BALCOMBE, K., FRASER, I., KIM, J. H., (2006), Estimating Technical Efficiency of Australian Dairy Farms Using Alternative Frontier Methodologies, Applied Economics, 38 (19), 2221-2236.
  • • BANKER, R. D., CHARNES, A., COOPER, W. W., (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management science, 30 (9), 1078-1092.
  • • BLANCARD, S., MARTIN, E., (2014), Energy Efficiency Measurement in Agriculture with Imprecise Energy Content Information, Energy Policy, 66, 198-208.
  • • CAVES, D. W., CHRISTENSEN, L. R., DIEWERT, W. E., (1982), The Economic Theory of Index Numbers and the Measurement of Input, Output and Productivity, Econometrica: Journal of the Econometric Society, 1393-1414.
  • • CHARNES, A., COOPER, W. W., LEWIN, A. Y., SEIFORD, L. M., (1994), Data Envelopment Analysis: Theory, Methodology and Applications, Boston, MA.: Kluwer Academic Publishers.
  • • CHARNES, A., COOPER, W. W., RHODES, E. (1978), Measuring the Efficiency of Decision Making Units, European journal of operational research, 2 (6), 429-444.
  • • COOPER, W. W., SEIFORD, L. M., TONE, K., (2006), Introduction to Data Envelopment Analysis and Its Uses: With DEA-Solver Software and References, Springer Science & Business Media.
  • • COOPER, W. W., SEIFORD, L. M., ZHU, J., (2011), Handbook on data envelopment analysis, Springer Science & Business Media.
  • • FARE, R., GROSSKOPF, S., NORRIS, M., ZHANG, Z., (1994), Productivity Growth, Technical Progress and Efficiency Change in Industrialized Countries, American economic review, 84 (1), 66-83.
  • • FARRELL, M. J., (1957), The Measurement of Productive Efficiency, Journal of the Royal Statistical Society, Series A (General), 120 (3), 253-290.
  • • GRIFELL-TATJÉ, E., LOVELL, C. K., (1995), A Note on the Malmquist Productivity Index, Economics letters, 47 (2), 169-175.
  • • GUZMÁN, I., ARCAS, N., (2008), The Usefulness of Accounting Information in the Measurement of Technical Efficiency in Agricultural Cooperatives, Annals of Public and Cooperative Economics, 79 (1), 107-131. • HAAG, S., JASKA, P., SEMPLE, J., (1992), Assessing the Relative Efficiency of Agricultural Production Units in the Blackland Prairie, Texas, Applied Economics, 24 (5), 559-565.
  • • KELLY, E., SHALLOO, L., GEARY, U., KINSELLA, A., WALLACE, M., (2012), Application of Data Envelopment Analysis to Measure Technical Efficiency on a Sample of Irish Dairy Farms, Irish journal of Agricultural and food research, 63-77.
  • • KOČIŠOVÁ, K., (2015), Application of the DEA on the Measurement of Efficiency in the EU Countries, Agric. Econ.–Czech, 61 (2), 51-62.
  • • MALMQUIST, S., (1953), Index Numbers and Indifference Surfaces, Trabajos de estadística, 4 (2), 209-242.
  • • MILLAN, J. A., ALDAZ, N., (1998), Agricultural Productivity of the Spanish Regions: A Non-Parametric Malmquist Analysis, Applied Economics, 30 (7), 875-884.
  • • MONCHUK, D. C., CHEN, Z., BONAPARTE, Y., (2010), Explaining Production Inefficiency in China’s Agriculture Using Data Envelopment Analysis and Semi-Parametric Bootstrapping, China Economic Review, 21 (2), 346-354.
  • • MOUSAVI AVVAL, S. H., RAFIEE, S., JAFARI, A., MOHAMMADI, A., (2011), Improving Energy Productivity of Sunflower Production Using Data Envelopment Analysis (DEA) Approach, Journal of the Science of Food and Agriculture, 91 (10), 1885-1892.
  • • MUGERA, A., OJEDE, A., (2014), Technical Efficiency in African Agriculture: Is It Catching up or Lagging Behind?, Journal of International Development, 26 (6), 779-795.
  • • OHE, Y., (2017), Assessing Managerial Efficiency of Educational Tourism in Agriculture: Case of Dairy Farms in Japan, Sustainability, 9 (11), 1931.
  • • REBOLLEDO-LEIVA, R., ANGULO-MEZA, L., IRIARTE, A., GONZÁLEZ-ARAYA, M. C., (2017), Joint Carbon Footprint Assessment and Data Envelopment Analysis for the Reduction of Greenhouse Gas Emissions in Agriculture Production, Science of the Total Environment, 593, 36-46.
  • • THIELE, H., BRODERSEN, C. M., (1999), Differences in Farm Efficiency in Market and Transition Economies: Empirical Evidence from West and East Germany, European Review of Agricultural Economics, 26 (3), 331-347.
  • • THIRTLE, C., PIESSE, J., LUSIGI, A., SUHARIYANTO, K., (2003), Multi-Factor Agricultural Productivity, Efficiency and Convergence in Botswana, 1981–1996, Journal of Development Economics, 71 (2), 605-624.
  • • TIPI, T., REHBER, E., (2006), Measuring Technical Efficiency and Total Factor Productivity in Agriculture: The Case of the South Marmara Region of Turkey, New Zealand Journal of Agricultural Research, 49 (2), 137-145.
  • • TONE, K., (2004), Malmquist Productivity Index, In Handbook on data envelopment analysis (pp. 203-227): Springer.
  • • ULUCAN, A., ATICI, K. B., (2010), Enerji ve Çevre Konularında Parametrik Olmayan Etkinlik Analizi ve Türkiye Elektrik Sanayii Uygulaması, HÜ İktisadi ve İdari Bilimler Fakültesi Dergisi, 28 (1), 173-203.
  • • VLONTZOS, G., NIAVIS, S., MANOS, B., (2014), A DEA Approach for Estimating the Agricultural Energy and Environmental Efficiency of EU Countries, Renewable and Sustainable Energy Reviews, 40, 91-96.
Toplam 30 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Bülent Çekiç

Cem Menten

Kazım Barış Atıcı

Yayımlanma Tarihi 13 Ocak 2020
Gönderilme Tarihi 2 Ocak 2019
Yayımlandığı Sayı Yıl 2020 Sayı: 1

Kaynak Göster

APA Çekiç, B., Menten, C., & Atıcı, K. B. (2020). TÜRKİYE TARIM SEKTÖRÜNDE ÜRÜNLER BAZINDA ETKİNLİK DEĞERLENDİRMESİ. Verimlilik Dergisi(1), 117-141.

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