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A diffusion model for the adoption of agricultural innovations in structured adopting populations AgEcon
McRoberts, Neil; Franke, A.C..
We introduce a new model for examining the dynamics of uptake of technological innovations in agricultural systems, using the adoption of zero-till wheat in the rice-wheat system in Haryana state, India, as a case study. A new equation is derived which describes the dynamics of adoption over time and takes into account the effect of aggregation (e.g. on a spatial and/or cultural basis) in the adopting population on the rate of adoption. The model extends previous phenomenological models by removing the assumption of homogeneity in the non-adopting fraction of the population. We show how factors affecting the per capita rate of adoption can be captured using cognitive mapping and simulate the dynamics of the adoption process.
Tipo: Working or Discussion Paper Palavras-chave: Bass curve; Adoption; Innovation; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies.
Ano: 2008 URL: http://purl.umn.edu/61117
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Karpography: a generic concept of quality for chain analysis and knowledge transfer in supply chains AgEcon
McRoberts, Neil.
As with other areas of science, supply chain analysis suffers from the fact that practitioners of its different component disciplines often find it exchange results and methods of analysis. For fresh produce supply chains a key issue is how to unite the elegant mathematical work on the physiology of quality change with the more qualitative methods of social science that are applied to the analysis supply chain management. This paper explores the possibility of utilising approaches which are widely used in demography to unify concepts of quality modelling and supply chain efficiency in the fresh produce sector. A key feature of demographic (or karpographic) models is that they use the average properties of individuals to model the behaviour of cohorts (or...
Tipo: Working or Discussion Paper Palavras-chave: Quality; Modelling; Matrix model; Variance; Supply chain; Probability; Agribusiness.
Ano: 2006 URL: http://purl.umn.edu/45995
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