Technical Efficiency on Indonesian Maize Production: Frontier Stochastic Analysis (Sfa) and Data Envelopment Analysis (Dea) Approach

Abstract

In order to achieve maize self-sufficiency in Indonesia, efficiency ought to be increased. Therefore, this study is aimed to assess technical efficiency of wide range of farmers. It is done in order to formulate a policy to increase the productivity of maize. The study was conducted in regions that produce maize. Sample farmers were determined to be nonproportionate stratified random sampling by land class strata, namely wetland and dry land. Analysis methods utilized in this research are Data Envelopment Analysis (DEA) and Analysis Frontier Stochastic (SFA). As for assessment of factors affecting technical efficiency analysis, Tobit regression models is utilized. The results of this research exhibits that the technical efficiency (TE) utilizing SFA approach gained an average of 0.78. On the other hand, the DEA approach obtained an average of 0.9. SFA approach exhibits lower TE value and evenly distributed among farmers compared to DEA approach, where no value is less than 0.6. Factors affecting TE are education, land ownership, extension frequency, and demonstration plot. Based on DEA approach also obtained the fact that most farmers are on the conditions of increasing returns to scale.

The analysis of the spatio-temporal differentiation characteristics of total factor productivity of maize: Introducing the perspective of financial support

“…Meanwhile, under the conditions of stochastic frontier analysis and data envelopment analysis, China's technical efficiency output range can be expanded by 35.5%, 22.2% and 12.3%, respectively (Hassan et al, 2014). Asmara et al (2016) studied the technical performance of maize production in view of the data of maize seeds, fertilizers and pesticides, and maize production in East Java of Indonesia by using data envelopment analysis. The results show that most farmers are in the stage of increasing returns to scale (Asmara et al, 2016).…”

“…Asmara et al (2016) studied the technical performance of maize production in view of the data of maize seeds, fertilizers and pesticides, and maize production in East Java of Indonesia by using data envelopment analysis. The results show that most farmers are in the stage of increasing returns to scale (Asmara et al, 2016). Li and Zhu et al (2018) took maize production population, effective irrigation area and maize planting area of 18 cities in Henan bewten 2006 and 2016 as input indexes, and maize yield as output index.…”

Research on corn production efficiency and influencing factors of typical farms: Based on data from 12 corn-producing countries from 2012 to 2019

“…The efficiencies measured by the stochastic frontier method and DEA were 64.1% and 87.7%, respectively. The average level of corn production efficiency in Indonesia calculated by Asmara using the stochastic frontier method was 0.78, and the technical efficiency calculated using the DEA method was 0.91 [ 21 ].…”

Analisis Efisiensi Produksi Usahatani Jagung Menggunakan Data Envelopment Analysis (DEA) di Desa Maindu, Kecamatan Montong, Kabupaten Tuban

“…Namun kapasitas dan kapabilitas petani tersebut dalam mengakumulasi, memilah dan mengolah informasi yang dibutuhkan dalam pengambilan keputusan dalam mengelola usaha taninya bervariasi antar daerah bahkan mungkin juga berbeda antar lokasi dan antar petani. Jika kapasitas manajerial petani meningkat dalam mengelola usaha taninya maka diharapkan terjadinya peningkatan efisiensi (Asmara, 2016) Provinsi Jawa Timur pada tahun 2015 menyumbang produksi jagung sebanyak 6.131.163 ton atau 31,2% dari total produksi jagung nasional. Daerah Provinsi Jawa Timur yang menjadi sentra produksi jagung terbesar adalah Kabupaten Tuban.…”