Preferensi Resiko Petani dalam Alokasi Input Usahatani Jagung Menggunakan Model Just and Pope

Abstract

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.

Risk Associated with Corn Farming in Madura Island

“…Based on the use of these inputs, farmers' preferences are categorized as Risk Averse, with an average value of -2.06. The results of this study support the theory (Frank, 1988) and studies conducted by Asmara & Widyawati, (2019); Fauziyah (2010), risk production and technical inefficiency on Tobacco farming in Pamekasan. Frontier production function model with heteroskedastic error structure estimated by Maximum Likelihood estimation developed by Kumbhakar is adopted to analyze the goals.…”

“…Currently, various researches on risk and uncertainty are carried out using parametric approaches, utility functions, and the term distribution error assumption, which is indicated as production or price uncertainty (Kumbhakar & Tsionas, 2010). Several risk preference studies have been carried out by the following researchers (Asmara & Widyawati, 2019;Battese, 2005;Czekaj & Henningsen, 2013;Erny et al, 2019;Fauziyah, 2010;Kijima, 2019;Kumbhakar & Tsionas, 2010) one faces two main problems. The first problem is associated with the choice of functional forms on the mean production function and the risk (variance, etc, using a parametric approach.…”

“…The Consequences are productivity and efficiency at low level. Asmara & Widyawati (2019), which stated that risk-averse farmers, have a lower level of technical efficiency and allocate a smaller number of inputs, compared to those in the risk-taker category. Therefore, based on the background, knowing the risk preferences of corn farmers in Madura is a basis for determining the solutions of low productivity problems.…”

Determinants of Production and Income Risks of Rainfed Lowland Farming: A Case Study in Maros Regency, Indonesia

“…The next step was estimating the production function f(X) and the risk function h(X) together with the maximum likelihood approach by minimizing the number of squares of the two functions. The multiplicative heteroscedasticity model was applied by maximizing the likelihood function (Asmara et al, 2019;Chrisdiyanti and Yuliawati, 2019;Fadlilah et al, 2019). The regression models for the effects of the use of inputs on production and production risk were as the following.…”

Penentuan Harga Premium Asuransi Tanaman Sagu di Kabupaten Luwu Menggunakan Copula FGM

“…Angka ini menunjukkan bahwa hampir separuh populasi penduduk Indonesia bergantung hidup pada sektor Pertanian yang sebenarnya tidak lepas dari ketidakpastian. Ancaman seperti gagal panen, penurunan hasil produksi pertanian, maupun perubahan harga komoditas yang diakibatkan oleh perubahan iklim (kemarau atau banjir), serangan penyakit dan hama tanaman, atau terjadinya bencana alam menjadi risiko tersendiri yang harus dihadapi oleh para petani (Asmara et al, 2019). Oleh karena itu, risiko-risiko yang mengancam para petani harus dapat diminimalisir, salah satunya dengan memberikan perlindungan jaminan berupa asuransi pertanian (crop insurance).…”