Catastrophic risk perceptions and the analysis of risk attitudes of Maize farming in Bangladesh

Adnan, K.M. Mehadi; Sarker, Swati Anindita; Tama, Riffat Ara Zannat; Shan, Tabia Binte; Datta, Tumpa; Monshi, Mahadi Hasan; Hossain, Md. Sazzad; Akhi, Kaynath

doi:10.1016/j.jafr.2022.100471

Cited by 5 publications

(3 citation statements)

References 32 publications

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“…This implies that younger farmers are more interested in challenging risks than older farmers which could be attributed to the fact that younger farmers are likely to be more innovative and energetic than older farmers. This is consistent with the findings of [33] and [49]. In a similar vein, farmers with more years of farming experience tend to be more riskaverse than farmers with less farming experience.…”

Section: Determinants Of Risk Attitude and Risk Perception Of Rice Fa...supporting

confidence: 90%

Assessing the risk perception, attitude, and management strategies used by the participants in Nigeria’s rice value chain.

Agboola,

Baiyegunhi

2024

Preprint

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The study assessed the risk perception, attitude, and management tools of 260 randomly selected farmers and processors in the rice value chain using data elicited via a structured questionnaire. Descriptive statistics, Equally Likely Certainty Equivalent (ELCE) technique, Binary logistic regression, and a 5-point Likert scale were employed in the data analyses. Descriptive statistics show that the respondents are young, active, and in their productive age with an intermediate education level. Majority of the farmers and processors were risk averse. Risk aversion was common among farmers and processors. Farmers' risk attitudes and perceptions of risk are significantly influenced by a number of factors, including age, access to extension services, farm size, marital status, household size, education, income, training, and experience. Majority of rice farmers consider price risk as the most important risk while majority of processors perceive production risk as the most important risk. Pests and diseases, price fluctuation, drought, and lack of input were the most important source of risk to farmers, while processors perceived price fluctuation, technology adoption, and poor storage facilities as the most important source of risk. Off-farm investment, spraying for pests and diseases, cash contribution, market information, and cooperative were the important risk mitigating management strategies employed by the farmers/processors. The study suggests improvements in the identified risk sources, which could influence the attitude and perception of the farmers and processors.

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Section: Determinants Of Risk Attitude and Risk Perception Of Rice Fa...supporting

confidence: 90%

Assessing the risk perception, attitude, and management strategies used by the participants in Nigeria’s rice value chain.

Agboola,

Baiyegunhi

2024

Preprint

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“…Understanding farmers' perceptions of these alternative methods and their effectiveness in controlling FAW could lead to their wider adoption once they are validated in the field. Attitudes and perceptions towards risk among farmers are crucial factors that impact farming practices, investment decisions, and the implementation of diverse risk management strategies [27]. Other cultural practices, such as regular weeding, intercropping, and trap cropping, can also reduce FAW infestation [28].…”

Section: Discussionmentioning

confidence: 99%

Invasion, Distribution, Monitoring and Farmers Perception of Fall Armyworm (Spodoptera frugiperda) and Farm-Level Management Practices in Bangladesh

Ullah

Sharmin²,

Tumpa

et al. 2023

Insects

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Fall armyworm (FAW), Spodoptera frugiperda, is a major pest of maize that was first detected in Bangladesh in 2018 and rapidly spread throughout the maize-growing areas. The presence of FAW was monitored using sex pheromone traps. Farmers’ pest management practices were assessed through a questionnaire. The damage is most apparent in the early and late whorl stages. As the crop is grown mostly from November to April, both vegetative and reproductive growth stages remain vulnerable to extensive damage. The survey results showed that 100% of the farmers used pesticides for FAW control, 40.4% handpicked and crushed egg masses, 75.8% handpicked and crushed caterpillars, and only 5.4% used other techniques like applying ash/sand in the funnel of maize. Commonly used pesticides included Spinosad, Emamectin benzoate, Imidacloprid, and others. Thirty-four percent of farmers applied pesticides twice in a season and 48% applied pesticides three times in a season and 54% and 39% of farmers sprayed chemicals at 7-day and 15-day intervals, respectively. FAW causes an average economic loss of 37.7% in maize production without pesticides. Increased use of pesticides to control FAW poses hazards to human health, wildlife, and the environment, and is expensive. Therefore, well-tested agroecological practices and bio-control agents are needed for sustainable FAW management.

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“…Farmers need to make decisions about steps to take to reduce the potential impact of risk [5]. Understanding farmers' attitudes and perceptions towards risk is crucial for planners and research organizations in delivering accurate information, framing various risk management strategies, and supplying farming credit and extension facilities [6]. Given the close relationship between economic and agricultural growth, risk management in agriculture may present significant challenges for decision-makers and researchers [7] Generally, Indian farmers exhibit a higher risk aversion behaviour in the decisionmaking process [8].…”

Section: Introductionmentioning

confidence: 99%

Risk Attitude of Farmers in the Climate Extreme Region of Andhra Pradesh, India

Naik,

Vidhyavathi,

Rani

et al. 2023

IJECC

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Aim: The objective of the current study was to assess the risk attitude of both insured and non-insured farmers and identify the factors influencing the risk attitude of insured and non-insured farmers. Study Area and Design: An ex-post-facto study was conducted, and the stratified random sampling method was used to collect the data at selected villages in Prakasam district, Andhra Pradesh. Methodology: A sample of 150 farmers of chilli and cotton was collected (90 insured and 60 non-insured). Data regarding the agriculture year 2021-22 was analysed using Moscardi and de Janvry approach. The socioeconomic, institutional and farm characteristics were analysed by using discriminant analysis to identify the factors influencing farmers’ risk attitudes. Results: The present study results showed that the majority of the farmers are risk neutral. In the case of risk preferers insured farmers are more compared to non-insured farmers. Insured chilli farmers more than non-insured chilli farmers in case of risk-averse but, it is the reverse in the case of cotton farmers. Occupation, constraints in getting credit facility, membership of the association, the proportion of crop income to the total farm income and family size of insured chilli farmers and family size, education level membership of the association, constraints in getting credit facility, the proportion of crop income to total farm income of non-insured chilli farmers are significant. Variables like age, occupation, farming experience, constraints in getting credit facility and age, occupation, education level, and farming experience of insured and non-insured cotton farmers were found to be significant. Conclusion: The majority of the farmers (both insured and non-insured) are risk neutral.

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Catastrophic risk perceptions and the analysis of risk attitudes of Maize farming in Bangladesh

Cited by 5 publications

References 32 publications

Assessing the risk perception, attitude, and management strategies used by the participants in Nigeria’s rice value chain.

Assessing the risk perception, attitude, and management strategies used by the participants in Nigeria’s rice value chain.

Invasion, Distribution, Monitoring and Farmers Perception of Fall Armyworm (Spodoptera frugiperda) and Farm-Level Management Practices in Bangladesh

Risk Attitude of Farmers in the Climate Extreme Region of Andhra Pradesh, India

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