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DocumentFood security impact of agricultural technology adoption under climate change: micro-evidence from Niger 2014
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No results found.We assess farmers' incentives and the conditioning factors that hinder or promote adoption of agricultural technologies under climate risk and evaluate its impact on food security in Niger. We distinguish between (i) exposure to climatic disruptions, (ii) bio-physical sensitivity to such disruptions, (iii) household adaptive capacity in terms of farmers’ ability to prepare and adjust to the resulting stress, and, finally, (iv) system-level adaptive capacity that serve as enabling factors for hou sehold-level adaptation. We employ multivariate probit and instrumental variable techniques to model the selection decisions and its impact. The results clearly indicate that while the use of modern inputs and organic fertilizers significantly improves crop productivity, results are unclear for the impact of crop residues. Results also show that factors driving modern input use are different than those of crop residues and organic fertilizer which can be characterized at low investment capital r equirements, higher labour requirements and longer time for results versus modern inputs which can be characterized as higher investment capital requirements, less labour requirement and shorter time for returns. Exposure to climatic stress and bio-physical factors are identified as key factors that hinder or accelerate adoption. Results show that greater climate variability as represented by the coefficient of variation of rainfall and temperature and recent climate shocks as represented by ave rage rainfall shortfall increases use of risk-reducing inputs such as crop residue, but reduce the use of modern inputs. Results also show the key role of system-level adaptive capacity in governing input use decision. For instance people who are close to extension offices and periodic markets are more likely to use modern inputs whereas those further away are more likely to use climate-smart agricultural inputs suggesting that role extension in promoting the use of modern inputs. Results presen ted have implications for understanding and overcoming barriers to selection for each practice, distinguishing structural aspects such as exposure and sensitivity from potential interventions at the household or system levels linked to adaptive capacity. -
DocumentFood security impact of agricultural technology adoption under climate change
Micro-evidence from Niger
2015Also available in:
No results found.We assess farmers' incentives and the conditioning factors that hinder or promote adoption of agricultural technologies under climate risk and evaluate its impact on food security in Niger. We distinguish between (i) exposure to climatic disruptions, (ii) bio-physical sensitivity to such disruptions, (iii) household adaptive capacity in terms of farmers’ ability to prepare and adjust to the resulting stress, and, finally, (iv) system-level adaptive capacity that serve as enabling factors for hou sehold-level adaptation. We employ multivariate probit and instrumental variable techniques to model the selection decisions and its impact. The results clearly indicate that while the use of modern inputs and organic fertilizers significantly improves crop productivity, results are unclear for the impact of crop residues. Moreover, factors driving modern input use are different than those of crop residues and organic fertilizer which can be characterized at low investment capital requirements, higher labour requirements and longer time for results versus modern inputs which can be characterized as higher investment capital requirements, less labour requirement and shorter time for returns. Exposure to climatic stress and bio-physical factors are identified as key factors that hinder or accelerate adoption. Results also show that greater climate variability as represented by the coefficient of variation of rainfall and temperature and recent climate shocks as represented by average rai nfall shortfall increases use of risk-reducing inputs such as crop residue, but reduce the use of modern inputs. In addition, the key role of system-level adaptive capacity in governing input use decision. Results presented have implications for understanding and overcoming barriers to selection for each practice, distinguishing structural aspects such as exposure and sensitivity from potential interventions at the household or system levels linked to adaptive capacity. -
MeetingClimate variability, adaptation strategies and food security in Malawi 2014
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No results found.This paper assesses farmers’ incentives and conditioning factors that hinder or promote adaptation strategies and evaluates its impact on crop productivity by utilizing household level data collected in 2011 from nationally representative sample households in Malawi. We distinguish between (i) exposure to climatic disruptions, (ii) bio-physical sensitivity to such disruptions, (iii) household adaptive capacity in terms of farmers’ ability to prepare and adjust to the resulting stress, and, fina lly, (iv) system-level adaptive capacity that serve as enabling factors for household-level adaptation. We employ a multivariate probit (MVP) and instrumental variable technique to model farming practice selection decisions and their yield impact estimates. We find that exposure to delayed onset of rainfall and greater climate variability as represented by the coefficient of variation of rainfall and temperature is positively associated with the choice of risk-reducing agricultural practices suc h as tree planting, legume intercropping, and soil and water conservation (SWC); however, it reduces the use of inputs (such as inorganic fertilizer) whose risk reduction benefits are uncertain. Biophysical sensitivity of plots increases the likelihood of choice of tree planting and SWC. In terms of household adaptive capacity, we find that wealthier households are more likely to adopt both modern and sustainable land management (SLM) inputs; and are more likely to adopt SLM inputs on plots unde r more secure tenure. In terms of system-level adaptive capacity, results show the key role of rural institutions, social capital and supply-side constraints in governing selection decisions for all practices considered, but particularly for tree planting and both organic and inorganic fertilizer. Finally for productivity, we find that on average use of both modern and SLM practices have positive and statistically significant impact on productivity of maize. For SLM practices that also respond t o exposure and sensitivity, these results provide direct evidence of their potential to aide households in adapting to further climate change. Results presented have implications for understanding and overcoming barriers to selection for each practice, distinguishing structural aspects such as exposure and sensitivity from potential interventions at the household or systemic levels linked to adaptive capacity.
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