6 pages, Background: An effort was made by the Ethiopian government to increase the level of technical efficiency of farmers across the country. However, due to climate change, smallholder farmers were facing challenges to increase technical efficiency in crop production. Adaptation to climate change is crucial to uphold and increase food crop productivity. This study analysis the impact of climate change adaptation and policy issues on food crop production efficiency in Kellem Wollega, Ethiopia.
Methods: The data was gathered from 400 randomly selected food crop smallholder farmers. The Cobb-Douglas production function was used by including the climate change adaptation measures as explanatory variables in technical inefficiency. Simulation was made to adaption measures that can be influenced by the policy variables to see their impact on the level of technical efficiency.
Result: The finding show that the use of adaptive practices (multiple crop type, improved crop varieties, adjusting planting dates and irrigation) had a significant and positive effect on technical efficiency whereas land fragmentation reduces efficiency level. Regarding simulation of policy variables the result show that the mean technical efficiency would increase with rising level of improved crop varieties, adjusting planting dates and irrigation practices. The results of the simulation of land fragmentation climate change adaptation variables show that the mean technical efficiency declines as a result of land fragmentation. Empirical results reveal that with appropriate policy intervention (climate change adaptation measures) the technical efficiency level of food crop farmers can be enhanced.
19 pages, We investigate the relationship between EU Common Agricultural Policy environmental payments, and dairy and beef farm level competitiveness and environmental performance. We use an Irish panel of farm level financial data for the years 2000–2017 and apply stochastic frontier analysis. Our estimates identify a positive relationship between technical efficiency and the Green, Low-Carbon, Agri-Environment Scheme for dairy farms, in contrast with the negative relation identified for previous payments of this kind such as the Rural Environment Protection Scheme for both beef and dairy. We then simulate increases in the first type of environmental payments financed through reductions in decoupled payments. We use alternative scenarios for payment redistribution such as flat allocation, allocation to farms with low stocking rates or proportional reallocation of payments. We find that under the second scenario, marginal environmental gains can potentially be achieved for dairy farms. For beef farms, the proportional allocation performs best regarding environmental gains. We also find that under this scenario, the impacts on income inequality can be smoothed for both farm types.
29 pages, Agent-based models are important tools for simulating farmers’ behaviour in response to changing environmental, economic or institutional conditions and policies. This article introduces an agent-based modelling approach that combines behavioural factors with standard bio-economic modelling of agricultural production. More specifically, our framework integrates the cumulative prospect theory and social interactions with constrained optimisation decisions in agricultural production. We apply our modelling approach to an exemplary bio-economic model on the assessment of weed control decisions. Results show the effects of heterogeneous farm decision-making and social networks on mechanical weed control and herbicide use. This framework provides a generic and conceptually sound approach to improve the scope for representing farmers’ decision-making and allows the simulation of their decisions and recent advances in behavioural economics to be aligned with existing bio-economic models of agricultural systems.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01631
Notes:
Kerry J. Byrnes Collection, Alpha Fertilizer Marketing Simulation, 5 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01647
Notes:
Kerry J. Byrnes Collection, International Fertilizer Development Center, 43 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01653
Notes:
Kerry J. Byrnes Collection, Outreach Division, 2 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01652
Notes:
Kerry J. Byrnes Collection, International Fertilizer Development Center Training Material,9 pages.
(2 copies)
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01651
Notes:
Kerry J. Byrnes Collection, Green Revolution Games, 13 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: KerryByrnes4; Folder: Green Revolution Game File Document Number: D01632
Notes:
Kerry J. Byrnes Collection, Outreach division, 6 pages.
