Constraints and Suggestions in Adopting Seasonal Climate Forecasts by Farmers in South India

Shankar, Kripa; Nagasree, K.; Venkateswarlu, B.; Maraty, Pochaiah

doi:10.1080/1389224x.2011.544456

Cited by 12 publications

(7 citation statements)

References 25 publications

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“…The findings are in line with [45,46]. The findings also conform with [47,48] who noted that the absence of location specific climate forecasts followed by poor reliability and failure of the climate forecasts, coupled with poor extension service on climate prediction, forecasts in the media not answering operational needs and low conviction of climate prediction were the major constraints to adaptive capacity of the farmers. Farmers are known to practice different adaptive strategies to minimize the effect of climate change, although it takes time for farm households to recover from climatic events, but households with better access to diverse resources and a more balanced livelihood portfolio would be able to cope with vagaries of the climate.…”

Section: Sample Adequacy and Factorability Of The Data Matrixsupporting

confidence: 88%

Factor Path of Constraints to Adaptive Capacity on Climate Change among IFAD-VCDP Farmers in North Central Nigeria

Sallawu

Nmadu

Coker

et al. 2020

IJECC

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Aim: Adaptive capacity is the ability of the farmer to adjust his farm plans and programmes in the face of emerging risks, constraints and currently available information. In this study, the various constraints faced by International Fund for Agricultural Development-Value Chain Development Programme’s farmers (IFAD-VCDP) in North Central Nigeria in adapting to climate change challenges were investigated. Study Design: A multi-stage sampling technique was employed in the selection of respondents. Place and Duration of Study: The study was conducted in Benue and Niger States of Nigeria in 2018. Methodology: Data were collected from a total of 483 respondents using interview schedule and questionnaire. The data were analysed using exploratory (principal component analysis) and confirmatory (structural equation modelling) factor analysis. Results: The results of the analysis revealed the significant constraints the farmers faced in order to improve their adaptive capacity to climate change which were institutional and technical (49.45%) and climate information (26.62%) constraints, although the factors differ slightly within the two states under study. In Benue State, institutional (31.26%), personal (14.63%), land and farm inputs (12.54%) and population (11.73%) while in Niger State, public and institutional (22.34%), land and farm inputs (14.78%), and personal (10.75) were the constraints to adaptive capacity. Conclusion: These constraints make it harder to plan and implement adaptation actions by restricting the variety and effectiveness of options available to the farmers to improve their productivity and cope with the vagaries of climate change. It was therefore recommended that government and NGOs should intensify efforts on public, institutional, educational and climate policies, assist in increasing the adaptive capacity of the farmers in order to employ more adaptation measures, land governance systems should be strengthened in Nigeria to provide tenure security for all, financial institutions should help facilitate access to credit by farmers and assist in making reliable climate information accessible to all farmers.

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Section: Sample Adequacy and Factorability Of The Data Matrixsupporting

confidence: 88%

Factor Path of Constraints to Adaptive Capacity on Climate Change among IFAD-VCDP Farmers in North Central Nigeria

Sallawu

Nmadu

Coker

et al. 2020

IJECC

View full text Add to dashboard Cite

show abstract

“…During very high temperatures the pest infestation is high and farmers need to be aware of the likely weather changes for risk management. Farmers access to advance information about the rainfall during the forthcoming season has the potential to help farmers in these areas make advantageous decisions about farm investments and adopt management practices that make best use of the season and reverse the current food and poverty situation The results corroborate those of (Kenkel and Norris, 1995;Shankar et al, 2011;Tadesse et al, 2009;WMO, 2015) who found that Seasonal climate forecasts speed up the adoption rate of high yielding and climatic risks reducing technologies and activities. Information about the onset of the rainy season can help farmers choose the crop cultivars that are more suited with the season.…”

Section: Discussion Conclusion and Recommendationssupporting

confidence: 70%

Adoption and Impact of Improved Pigeon Peas on Farming Household Poverty in Semi-Arid South East Kenya

Matere

Busienei

Mbatia

2020

JPID

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Purpose: The purpose of the study was to assess the factors influencing adoption of improved pigeon peas in semi-arid South Eastern Kenya and to evaluate the impact of adoption on households’ poverty. Methodology: The study used cross sectional data gathered through household survey to establish the factors influencing improved pigeon pea adoption. Propensity score matching approach was further used to assess the impact of adoption on households’ poverty. Findings: The results show that farmers’ access to improved pigeon pea seed, contact with agricultural extension service providers and access to market information significantly influenced adoption (p< 0.001). Adopters and non-adopters got an average net farm income of Kenya shillings (KES) 29,570 and 21, 490 per acre per year respectively. Adoption of improved pigeon peas resulted in a decrease of head count poverty by 0.24% and a reduction of poverty gap and poverty severity by 0.30% and 0.20 % respectively. Contribution to theory, practice and policy: The study recommends that both National and County Government make policies that create enabling environment for private sector participation in production of certified seed to improve farmers’ access to improved seed to augment production. Facilitating farmers’ improved access to reliable and timely market information will increase production of marketable surplus of the peas that are adaptable to semi-arid areas, increase fall income and contribute to reduction of rural poverty.

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“…Farmers also found regular visits of extension specialists significant, such as biweekly and monthly compared to occasional and irregular. Extension services also can explain and interpret seasonal forecasts correctly for farmers and help make proper decisions on farming activities [97]. It has also been reported that inadequate support of extension services is also one of the major reasons for farmers' refusal and use of seasonal forecast information.…”

Section: Farmers' Interactions With Agriculture Extension Workersmentioning

confidence: 99%

Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia

et al. 2022

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Effective weather forecast information helps smallholder farmers improve their adaptation to climate uncertainties and crop productivity. The main objective of this study was to assess the impact of weather forecast adoption on crop productivity. We coupled agent-based and crop productivity models to study the impact of farmers’ management decisions on maize productivity under different rainfall scenarios in Ethiopia. A household survey was conducted with 100 households from 5 villages and was used to validate the crop model. The agent-based model (ABM) analyzed the farmers’ behaviors in crop management under different dry, wet, and normal rainfall conditions. ABM results and crop data from the survey were then used as input data sources for the crop model. Our results show that farming decisions based on weather forecast information improved yield productivity from 17% to 30% under dry and wet seasons, respectively. The impact of adoption rates due to farmers’ intervillage interactions, connections, radio, agriculture extension services, and forecast accuracy brought additional crop yields into the Kebele compared to non-forecast users. Our findings help local policy makers to understand the impact of the forecast information. Results of this study can be used to develop agricultural programs where rainfed agriculture is common.

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Constraints and Suggestions in Adopting Seasonal Climate Forecasts by Farmers in South India

Cited by 12 publications

References 25 publications

Factor Path of Constraints to Adaptive Capacity on Climate Change among IFAD-VCDP Farmers in North Central Nigeria

Factor Path of Constraints to Adaptive Capacity on Climate Change among IFAD-VCDP Farmers in North Central Nigeria

Adoption and Impact of Improved Pigeon Peas on Farming Household Poverty in Semi-Arid South East Kenya

Application of Agent-Based Modeling in Agricultural Productivity in Rural Area of Bahir Dar, Ethiopia

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