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Evaluation of Organic Agriculture Production Efficiency in OECD Countries within the Framework of Sustainable Development Goals

Year 2023, Volume: 41 Issue: Tarım Özel Sayısı, 77 - 97, 31.07.2023
https://doi.org/10.17065/huniibf.1252170

Abstract

In this study, we aim to analyze the efficiency of organic agriculture and the changes in efficiency in OECD countries for each year between 2011 and 2020 to emphasize its potential contribution to global development by evaluating it within the scope of sustainable development. Data Envelopment Analysis (DEA), one of the most widely used efficiency measurement methods in the literature, is used to evaluate the performance of organic agricultural production. Efficiency analysis reveals that most of the countries evaluated are inefficient and have relatively low-efficiency scores. Context-Dependent Data Envelopment Analysis (DEA) groups OECD countries into layers based on their efficiency measures. For the period 2011-2020, countries are clustered at 7 to 9 efficiency levels. Malmquist Total Factor Productivity (TFP) Index is calculated to evaluate the efficiency scores obtained from DEA and the inter-period efficiency. There has been a steady decline in the average Malmquist TFP Index since 2011-2012. The final values obtained from the analyses are compared with the Sustainable Development Goals Index values and evaluated.

References

  • Artukoglu, M. M., Olgun, A., & Adanacioglu, H. (2010). The efficiency analysis of organic and conventional olive farms: Case of Turkey. Agricultural Economics, 56(2), 89. https://doi.org/10.17221/620-AGRICECON
  • Breustedt, G., Latacz-Lohmann, U., & Tiedemann, T. (2011). Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies. Food Policy, 36(2), 223-229. https://doi.org/10.1016/j.foodpol.2010.11.019
  • Boateng, V. F., Donkoh, S. A., & Adzawla, W. (2022). Organic and conventional vegetable production in northern Ghana: farmers’ decision making and technical efficiency. Organic Agriculture, 12(1), 47-61. https://doi.org/10.1007/s13165-021-00379-7
  • 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. https://doi.org/10.2307/1913388
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  • 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., L.M. Seiford and J. Zhu, (2004). Handbook of Data Envelopment Analysis, Kluwer Academic Publishers, Boston.
  • Färe, R. et al. (1992), “Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach, Journal of Productivity Analysis, 3(1-2), 85-101. https://doi.org/10.1007/BF00158770
  • Färe, R., Grosskopf, S., & Lovell, C. K. (1994). Production frontiers. Cambridge University Press.
  • Forschungsinstitut für biologischen Landbau (FIBL) Statistics (2022). Data on organic agriculture worldwide. Erişim tarihi: 28 Ekim 2022, https://statistics.fibl.org/world.html
  • Gamboa, C., Bojacá, C. R., Schrevens, E., & Maertens, M. (2020). Sustainability of smallholder quinoa production in the Peruvian Andes. Journal of Cleaner Production, 264, 121657. https://doi.org/10.1016/j.jclepro.2020.121657
  • Garcia-Cornejo, B., Perez-Mendez, J. A., Roibas, D., & Wall, A. (2020). Efficiency and sustainability in farm diversification initiatives in Northern Spain. Sustainability, 12(10), 3983. https://doi.org/10.3390/su12103983
  • Ho, T. Q., Hoang, V. N., Wilson, C., & Nguyen, T. T. (2018). Eco-efficiency analysis of sustainability-certified coffee production in Vietnam. Journal of Cleaner Production, 183, 251-260. https://doi.org/10.1016/j.jclepro.2018.02.147
  • Latruffe, L., & Nauges, C. (2014). Technical efficiency and conversion to organic farming: the case of France. European Review of Agricultural Economics, 41(2), 227-253. https://doi.org/10.1093/erae/jbt024
  • Madau, F. A., Furesi, R., & Pulina, P. (2017). Technical efficiency and total factor productivity changes in European dairy farm sectors. Agricultural and Food Economics, 5(1), 1-14. https://doi.org/10.1186/s40100-017-0085-x
  • Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de estadística, 4(2), 209-242. https://doi.org/10.1007/BF03006863
  • Morita, H., Hirokawa, K., & Zhu, J. (2005). A slack-based measure of efficiency in context-dependent data envelopment analysis. Omega, 33(4), 357-362. https://doi.org/10.1016/j.omega.2004.06.001 Morita, H. and Zhu, J. (2007), Context-dependent data envelopment analysis and its use, Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, Springer, New York, NY, pp. 241-259.
  • Nastis, S. A., Bournaris, T., & Karpouzos, D. (2019). Fuzzy data envelopment analysis of organic farms. Operational Research, 19, 571-584. https://doi.org/10.1007/s12351-017-0294-9
  • Poudel, K. L., Johnson, T. G., Yamamoto, N., Gautam, S., & Mishra, B. (2015). Comparing technical efficiency of organic and conventional coffee farms in rural hill region of Nepal using data envelopment analysis (DEA) approach. Organic Agriculture, 5(4), 263-275. https://doi.org/10.1007/s13165-015-0102-x
  • Riar, A., Mandloi, L. S., Sendhil, R., Poswal, R. S., Messmer, M. M., & Bhullar, G. S. (2020). Technical efficiencies and yield variability are comparable across organic and conventional farms. Sustainability, 12(10), 4271. https://doi.org/10.3390/su12104271
  • Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. Journal of Econometrics, 46(1-2), 7- 38. https://doi.org/10.3390/su12104271
  • Skolrud, T. (2019). Farm‐level determinants of product conversion: Organic milk production. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 67(3), 261-281. https://doi.org/10.1111/cjag.12201
  • Seiford, L. M., & Zhu, J. (2003). Context-dependent data envelopment analysis—Measuring attractiveness and progress. Omega, 31(5), 397-408. https://doi.org/10.1016/S0305-0483(03)00080-X
  • Tiedemann, T., & Latacz‐Lohmann, U. (2013). Production risk and technical efficiency in organic and conventional agriculture–the case of arable farms in Germany. Journal of Agricultural Economics, 64(1), 73-96. https://doi.org/10.1111/j.1477-9552.2012.00364.x
  • Thanassoulis, E. (2001). Introduction to the theory and application of data envelopment analysis. Dordrecht: Kluwer Academic Publishers.
  • United Nations (2015). Transforming our world: the 2030 Agenda for Sustainable Development. United Nations: New York, NY, USA.
  • Yadava, A. K., & Komaraiah, J. B. (2021). Benchmarking the performance of organic farming in India. Journal of Public Affairs, 21(2), e2208. https://doi.org/10.1002/pa.2208
  • Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets (Vol. 2). New York: Springer.

OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ

Year 2023, Volume: 41 Issue: Tarım Özel Sayısı, 77 - 97, 31.07.2023
https://doi.org/10.17065/huniibf.1252170

Abstract

Bu çalışmada, OECD ülkelerinde 2011-2020 yılları arasındaki her yıl için organik tarım etkinliğini ve bu dönemdeki etkinlikteki değişmeleri incelemek ve bunları sürdürülebilir kalkınma kapsamında değerlendirerek küresel kalkınmaya sunabileceği potansiyel katkının vurgulanması amaçlanmaktadır. Organik tarımsal üretim performansını değerlendirebilmek adına literatürde en çok kullanılan etkinlik ölçüm yöntemlerinden biri olan Veri Zarflama Analizi (VZA) kullanılmıştır. Etkinlik analizleri sonucu ortalama etkinlik skorlarının oldukça düşük değerlere sahip olduğu ve değerlendirme altındaki ülkelerin büyük bir bölümünün etkinsiz olduğu saptanmıştır. Katmanlı Veri Zarflama Analizi (KVZA) yaklaşımı ile OECD ülkeleri etkinlik düzeylerine göre katmanlara bölünerek gruplandırılmıştır. 2011-2020 döneminde ülkeler yıllara göre farklılık göstererek 7 ila 9 etkinlik düzeyinde kümelenmiştir. VZA’dan elde edilen etkinlik skorları ile dönemler arası etkinliği değerlendirebilmek amacıyla Malmquist Toplam Faktör Verimliliği (TFV) Endeksi hesaplanmıştır. 2011-2012 periyodundan itibaren ortalama Malmquist TFV Endeksinde sürekli bir gerileme gözlemlenmiştir. Analizlerden elde edilen nihai değerler ile Sürdürülebilir Kalkınma Hedefleri Endeksi değerleri karşılaştırılarak değerlendirmelerde bulunulmuştur.

References

  • Artukoglu, M. M., Olgun, A., & Adanacioglu, H. (2010). The efficiency analysis of organic and conventional olive farms: Case of Turkey. Agricultural Economics, 56(2), 89. https://doi.org/10.17221/620-AGRICECON
  • Breustedt, G., Latacz-Lohmann, U., & Tiedemann, T. (2011). Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies. Food Policy, 36(2), 223-229. https://doi.org/10.1016/j.foodpol.2010.11.019
  • Boateng, V. F., Donkoh, S. A., & Adzawla, W. (2022). Organic and conventional vegetable production in northern Ghana: farmers’ decision making and technical efficiency. Organic Agriculture, 12(1), 47-61. https://doi.org/10.1007/s13165-021-00379-7
  • 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. https://doi.org/10.2307/1913388
  • Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  • 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., L.M. Seiford and J. Zhu, (2004). Handbook of Data Envelopment Analysis, Kluwer Academic Publishers, Boston.
  • Färe, R. et al. (1992), “Productivity changes in Swedish pharmacies 1980-1989: A non-parametric Malmquist approach, Journal of Productivity Analysis, 3(1-2), 85-101. https://doi.org/10.1007/BF00158770
  • Färe, R., Grosskopf, S., & Lovell, C. K. (1994). Production frontiers. Cambridge University Press.
  • Forschungsinstitut für biologischen Landbau (FIBL) Statistics (2022). Data on organic agriculture worldwide. Erişim tarihi: 28 Ekim 2022, https://statistics.fibl.org/world.html
  • Gamboa, C., Bojacá, C. R., Schrevens, E., & Maertens, M. (2020). Sustainability of smallholder quinoa production in the Peruvian Andes. Journal of Cleaner Production, 264, 121657. https://doi.org/10.1016/j.jclepro.2020.121657
  • Garcia-Cornejo, B., Perez-Mendez, J. A., Roibas, D., & Wall, A. (2020). Efficiency and sustainability in farm diversification initiatives in Northern Spain. Sustainability, 12(10), 3983. https://doi.org/10.3390/su12103983
  • Ho, T. Q., Hoang, V. N., Wilson, C., & Nguyen, T. T. (2018). Eco-efficiency analysis of sustainability-certified coffee production in Vietnam. Journal of Cleaner Production, 183, 251-260. https://doi.org/10.1016/j.jclepro.2018.02.147
  • Latruffe, L., & Nauges, C. (2014). Technical efficiency and conversion to organic farming: the case of France. European Review of Agricultural Economics, 41(2), 227-253. https://doi.org/10.1093/erae/jbt024
  • Madau, F. A., Furesi, R., & Pulina, P. (2017). Technical efficiency and total factor productivity changes in European dairy farm sectors. Agricultural and Food Economics, 5(1), 1-14. https://doi.org/10.1186/s40100-017-0085-x
  • Malmquist, S. (1953). Index numbers and indifference surfaces. Trabajos de estadística, 4(2), 209-242. https://doi.org/10.1007/BF03006863
  • Morita, H., Hirokawa, K., & Zhu, J. (2005). A slack-based measure of efficiency in context-dependent data envelopment analysis. Omega, 33(4), 357-362. https://doi.org/10.1016/j.omega.2004.06.001 Morita, H. and Zhu, J. (2007), Context-dependent data envelopment analysis and its use, Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, Springer, New York, NY, pp. 241-259.
  • Nastis, S. A., Bournaris, T., & Karpouzos, D. (2019). Fuzzy data envelopment analysis of organic farms. Operational Research, 19, 571-584. https://doi.org/10.1007/s12351-017-0294-9
  • Poudel, K. L., Johnson, T. G., Yamamoto, N., Gautam, S., & Mishra, B. (2015). Comparing technical efficiency of organic and conventional coffee farms in rural hill region of Nepal using data envelopment analysis (DEA) approach. Organic Agriculture, 5(4), 263-275. https://doi.org/10.1007/s13165-015-0102-x
  • Riar, A., Mandloi, L. S., Sendhil, R., Poswal, R. S., Messmer, M. M., & Bhullar, G. S. (2020). Technical efficiencies and yield variability are comparable across organic and conventional farms. Sustainability, 12(10), 4271. https://doi.org/10.3390/su12104271
  • Seiford, L. M., & Thrall, R. M. (1990). Recent developments in DEA: the mathematical programming approach to frontier analysis. Journal of Econometrics, 46(1-2), 7- 38. https://doi.org/10.3390/su12104271
  • Skolrud, T. (2019). Farm‐level determinants of product conversion: Organic milk production. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 67(3), 261-281. https://doi.org/10.1111/cjag.12201
  • Seiford, L. M., & Zhu, J. (2003). Context-dependent data envelopment analysis—Measuring attractiveness and progress. Omega, 31(5), 397-408. https://doi.org/10.1016/S0305-0483(03)00080-X
  • Tiedemann, T., & Latacz‐Lohmann, U. (2013). Production risk and technical efficiency in organic and conventional agriculture–the case of arable farms in Germany. Journal of Agricultural Economics, 64(1), 73-96. https://doi.org/10.1111/j.1477-9552.2012.00364.x
  • Thanassoulis, E. (2001). Introduction to the theory and application of data envelopment analysis. Dordrecht: Kluwer Academic Publishers.
  • United Nations (2015). Transforming our world: the 2030 Agenda for Sustainable Development. United Nations: New York, NY, USA.
  • Yadava, A. K., & Komaraiah, J. B. (2021). Benchmarking the performance of organic farming in India. Journal of Public Affairs, 21(2), e2208. https://doi.org/10.1002/pa.2208
  • Zhu, J. (2009). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets (Vol. 2). New York: Springer.
There are 28 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Economics
Journal Section Articles
Authors

Cem Menten 0000-0003-0259-3770

Bülent Çekiç 0000-0001-7134-4220

Nesrin Özal-saraç 0000-0002-5841-0040

Publication Date July 31, 2023
Submission Date February 17, 2023
Published in Issue Year 2023 Volume: 41 Issue: Tarım Özel Sayısı

Cite

APA Menten, C., Çekiç, B., & Özal-saraç, N. (2023). OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 41(Tarım Özel Sayısı), 77-97. https://doi.org/10.17065/huniibf.1252170
AMA Menten C, Çekiç B, Özal-saraç N. OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. July 2023;41(Tarım Özel Sayısı):77-97. doi:10.17065/huniibf.1252170
Chicago Menten, Cem, Bülent Çekiç, and Nesrin Özal-saraç. “OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ”. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi 41, no. Tarım Özel Sayısı (July 2023): 77-97. https://doi.org/10.17065/huniibf.1252170.
EndNote Menten C, Çekiç B, Özal-saraç N (July 1, 2023) OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 41 Tarım Özel Sayısı 77–97.
IEEE C. Menten, B. Çekiç, and N. Özal-saraç, “OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ”, Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, vol. 41, no. Tarım Özel Sayısı, pp. 77–97, 2023, doi: 10.17065/huniibf.1252170.
ISNAD Menten, Cem et al. “OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ”. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 41/Tarım Özel Sayısı (July 2023), 77-97. https://doi.org/10.17065/huniibf.1252170.
JAMA Menten C, Çekiç B, Özal-saraç N. OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2023;41:77–97.
MLA Menten, Cem et al. “OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ”. Hacettepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, vol. 41, no. Tarım Özel Sayısı, 2023, pp. 77-97, doi:10.17065/huniibf.1252170.
Vancouver Menten C, Çekiç B, Özal-saraç N. OECD ÜLKELERİNDEKİ ORGANİK TARIM ÜRETİM ETKİNLİĞİNİN SÜRDÜRÜLEBİLİR KALKINMA HEDEFLERİ ÇERÇEVESİNDE DEĞERLENDİRİLMESİ. Hacettepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2023;41(Tarım Özel Sayısı):77-9.

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