Maize is one of the food commodities that have a very important role both in food security efforts and in other sectors. Maize is used by various groups either for seeds, feed of independent breeders, feed mill raw materials, direct consumption of household, and also for raw materials of food industry. Tuban Regency is the district of maize which is also the biggest contribution to maize production in East Java. Tuban Regency is in the first place by contributing 8.07% to total maize production in East Java Provinsis. The objectives of the research are 1. To know the extent to which factors of production of seeds, chemical fertilizers, organic fertilizers, herbicides, and labor in influencing the production of maize. 2. To know the technical efficiency level of maize farming in Maindu Village. 3. To know the social factor of age, education level (dummy), land area (dummy), and the number of family (dummy) that influence technical efficiency of maize farming in research area. The result of the first objective is known that the factors that influence the existing maize farming in the research area are seed, chemical fertilizer and labor. The second objective result is the level of technical efficiency in the research area obtained the average value is 0.77 or 77%. The third objective result is the social factor that influence technical efficiency of maize farming that exist in research area are education level, and also land area.
Risk behavior of corn farming is influenced by two main factors, namely the behavior of human resources and the nature of natural resources. One of the natural conditions that causes an increase in risk in the agricultural sector is climate change. Corn farming is one of the food crops that can accept these conditions, namely farming behavior carried out by farmers and climate change that cannot be predicted with certainty. This study analyzes farmers' preferences for the risk of corn production using the Just and Pope model. The results show that farmers with risk seeker preferences use production inputs greater than farmers with risk averse preferences. Farmers with risk seeker preferences are more technically efficient than risk averse preferences. Related to social factors, farmers with risk seeker preferences tend to have a greater number of family dependents, higher education levels, and have a longer experience of corn farming than farmers with risk averse preferences.. Keywords: . risk behavior, efficiency, just and pope models ABSTRAKPerilaku risiko usahatani tanaman jagung dipengaruhi oleh dua faktor utama yaitu perilaku sumberdaya manusia dan sifat sumberdaya alam. Salah satu kondisi alam yang menyebabkan peningkatan risiko pada sektor pertanian ialah perubahan iklim. Usahatani tanaman jagung merupakan salah satu usahatani tanaman pangan yang dapat menerima kondisi tersebut, yaitu perilaku usahatani yang dilakukan petani dan perubahan iklim yang tidak dapat diprediksi secara pasti. Peneletian ini menganalisis preferensi petani terhadap risiko produksi jagung menggunakan model Just and Pope. Hasil penelitian menunjukkan petani dengan preferensi risk seeker menggunakan input produksi lebih besar daripada petani dengan preferensi risk averse. Petani dengan preferensi risk seeker lebih efisien secara teknis daripada preferensi risk averse. Pada kondisi sosial petani dengan preferensi risk seeker cenderung memiliki jumlah tanggungan keluarga yang lebih besar, tingkat pendidikan lebih tinggi, serta memiliki pengalaman usahatani jagung lebih lama daripada petani dengan preferensi risk averse.
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.
By 2045, Indonesia's population is expected to reach 321.4 million, the fifth largest in the world after China, India, Nigeria, and the United States. It is an excellent challenge for Indonesia to provide food in the future as it keeps pace with the rapid population growth. This study aims to analyze forecasting the basic conditions of Indonesia’s rice economy 2019-2045. The research data use time-series data from 1961-2018, including data from the Central Bureau of Statistics (BPS), Ministry of Agriculture/Pusdatin, Food and Agriculture Organization (FAO), International Rice Research (IRR), Department of Commerce, United States Department of Agriculture (USDA), and ASEAN Food Safety Information System (AFSIS). Data analysis using the simultaneous equations model approach. The results show that in 2019-2045 the projection of rice productivity in 2025 is 64,465 quintals per hectare; in 2035, it is 68,797 quintals per hectare, and in 2045 it is 77,462 quintals per hectare. In 2045, the projected land area is 27.64 million hectares. Although Indonesia is forecast to experience a rice surplus of 37.80 million tonnes in 2045, the projected rice production and domestic rice consumption level indicate the potential for rice imports of 15 million tonnes.
ABSTRACT:This study aimed to analyze technical, cost and allocative efficiency, and to analyze the influence factors on the rice, corn and soybean farming in Indonesia. It used Data Envelopment Analysis (DEA) aiming to minimize the cost of inputs. The results show that the propotion of efficient allocative efficiency levels are about 10.20% for rice farmers, 12.28% for corn farmers and 4.55% for soybean farmers. Additionally, the proportion of farmers having technically efficient are 26.53% for rice farmers, 26.32% for corn farmers, and 36.36% for soybean farmers. The lower allocative efficiency shows that farmers face much difficulty in considering input prices and input allocations in their productions. Moreover, the most dominant factors affecting the technical (TE) and cost (CE) efficiency in rice, corn and soybean farming are land area and extension frequency. Those are definitely important factors in improving farming efficiency. Spesifically for extension program, this study confirms empirically that extension is still one of imperative factors should be considered in agriculture development in Indonesia.
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