Measuring the Technical Efficiency of Cotton Farms in Turkey Using Stochastic Frontier and Data Envelopment Analysis

Abstract

The determination of technical efficiency for cotton farms can be invaluable in estimating optimum farming practices and in identifying strategic options for the industry. This paper investigates the productive efficiency of a sample of farmers in Turkey's Aegean region by estimating a stochastic frontier production function (SFA), constant returns to scale (CRS) and variable returns to scale (VRS) using output-oriented data envelopment analysis (DEA). Data were obtained from 198 cotton farms using structured questionnaire interviews. The estimates of technical efficiency based on these two frontier methods were compared. While efficiency scores for cotton farms differed between the SFA and the DEA models, the mean efficiency scores are quite low for the CRS DEA model compared with the VRS DEA and SFA approaches. The mean efficiency measure (0.91) obtained from the stochastic frontier was higher than that calculated from the VRS DEA (0.77) and CRS DEA (0.25). This study suggests that more efficient political instruments need to be adopted to review current subsidies because of increasing outlays for diesel oil used in cotton farming.

Türk Tarımında Bitkisel Üretim Etkinliği: 2000 Yılı Sonrası Araştırmaların Genel Değerlendirmesi

“…Derleme olarak analizlerinin yapıldığı etkinlik ile ilgili çalışmalarda, VZA ve SSA yöntemleri ile elde edilen etkinlik skorlarının birlikte kullanılarak bölgelere ya da yıllara göre genel aritmetik ortalamalarının alındığı görülmektedir (Bravo-Ureta et al, 2007). Bunun yanında saf etkinlik şeklinde de adlandırılan ÖGDG skorları ile SSA skorlarının birbiri ile daha uyumlu oldukları birçok çalışmada dile getirilmiştir (Cullinane et al, 2006;Çobanoğlu, 2013). ÖGDG skorlarının hesaplanmadığı, Özden ve Armağan ( 2005) tarafından yapılan çalışma hesaplamalara dahil edilmemiştir.…”

Application of fuzzy DEA and machine learning algorithms in efficiency estimation of paddy producers of rural Eastern India

“…Several methodologies are present to measure performance and provide effective resource use in agriculture. A number of studies were made using different performance measurement tools (Cobanoglu, 2013; Coelli and Battese, 1996; Hossain et al , 2012; Latruffe et al , 2004; Nabavi-Pelesaraei et al , 2017; Theodoridis and Anwar, 2011). Data envelopment analysis (DEA) was found as the most widely used method.…”

Dynamic energy efficiency assessment of dairy farming system in Iran: Application of window data envelopment analysis

“…provinces of Iran in this study) are generally called decision making units (DMUs). DEA has been widely applied in agricultural and horticultural sectors including peanut, rose cut-flower, rice, citrus, paddy, cotton, cranberry, cucumber, sugarcane and greenhouse products (Al-Mezeini et al, 2020;Alemdar and Işik, 2008;Aman and Haji, 2011;Balcombe et al, 2008;Beltrán-Esteve and Reig-Martínez, 2014;Chauhan et al, 2006;Clemente et al, 2015;Cobanoglu, 2013;Dong et al, 2015;Farrell, 1957;Heidari et al, 2012;Ullah et al, 2019). DEA has been used in livestock farming systems such as dairy cow, poultry, and pig farming.…”