Economic risk analysis of alternative farming systems for smallholder farmers in central and north-east Thailand

Abstract

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to investigate farmers' risk aversion using the equally likely certainty equivalent approach and the negative exponential utility function to identify risk preference classification. Design/methodology/approach -Stochastic efficiency with respect to a function is applied to determine the risk efficient farming systems for the farmers in central and north-east regions of Thailand. Findings -The study results showed that maize followed by sorghum is the most risk efficient farming system for the extremely risk averse rain-fed farmers in the central region of Thailand. Intensive planting of wet rice and dry rice cultivation is preferred by the extremely risk averse central region irrigated farmers. Wet rice and cassava together with raising small herd of cattle is the most economically viable farming system for the extremely risk averse rain-fed farmers in the north-east region, while two rice crops with raising cattle is preferred by the extremely risk averse north-east irrigated farmers of Thailand. Originality/value -The findings of this study provide useful information to reinforce the empirical basis for risk analysis for Thai farmers. The results will provide more accurate information regarding risk at the farm level to policy makers and researchers.

Assessing Organic Cherry Farmers’ Strategies under Different Policy Options

“…Stochastic dominance and stochastic efficiency with respect to a function (SDRF and SERF) analyses have a major advantage in that they reduce the set of all possible risky choices to a small group of alternatives. The SERF technique is a novel improved methodology for assessing and ranking risky alternatives but empirical studies using SERF are limited, Especially in agriculture, SDRF and SERF analyses have been used to compare risky alternatives regarding farm production, marketing and financial matters [11]. In Greece, SERF analysis has been used by Tzouramani et al [12] to determine risk efficiency between organic and conventional lemons and citrus cultivation and by Tzouramani et al [13], to explore the economic viability of conventional and organic sheep farming.…”

Determinants of the risk perception of farmer–herder conflicts: evidence from rural Nigeria

“…, 2021; Rizwan et al. , 2020; Aditto, 2011). A systematic review of farmers' perception of agricultural risks found climate change, human and market risks to be the most feared risk in the crop sector (Duong et al.…”

“…Extant literature has found age, gender, educational level and farming experience, farm size and off-farm work to have a significant influence on farmers' perceived source of agricultural risks (Il Islam et al, 2021;Rizwan et al, 2020;Aditto, 2011). A systematic review of farmers' perception of agricultural risks found climate change, human and market risks to be the most feared risk in the crop sector (Duong et al, 2019).…”

“…Farmer characteristics like age (Cohn et al, 1995;Otani et al, 1992;Il Islam et al, 2021;Rizwan et al, 2020) and education (Savage, 1993;Il Islam et al, 2021;Rizwan et al, 2020) have been found to be significant predictors of the risk perception of climate change and other disasters. Gender of household head is also included to capture the variations in perceived risk of FH conflict by male and female farmers (Aditto, 2011;Duong et al, 2019). A binary variable for religious affiliation of rural household is included to control for the influence of religion on the risk perception of FH conflicts.…”

Analisis Risiko Usaha Pembenihan Ikan Nila Merah Di Kelompok Pembudidaya Ikan Mino Ngremboko Kecamatan Ngemplak Kabupaten Slema

“…Penerimaan merupakan hasil kali produksi total benih ikan nila merah dengan harga produk ikan nila merah sesuai dengan ukurannya Berikut merupakan biaya total, rata-rata penerimaan dan pendapatan pada pembenihan ikan nila merah di KPI Mino Ngemboko : Identifikasi Sumber-sumber Risiko Pembenihan Ikan Nila Merah Pembudidaya dalam menjalankan pembenihan ikan nila merah tentunya tidak terlepas dari berbagai permasalahan. Pembudidaya selalu menghadapi risiko di dalam usahanya, terutama karena kebanyakan hasil pertanian masih bergantung pada musim dan cuaca seperti di negara-negara lain India (Kumar dan Singh, 2017), Thailand (Aditto, 2011), Estonia (Laanemets, 2011) termasuk juga pembenihan ikan nila merah masih bergantung dengan alam. Beberapa sumber risiko yang terjadi saling berhubungan dan tidak bisa dipisah satu sama lain.…”