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The economics of livestock disease: Farmer choices Governance of Livestock Disease SVEPM 01 April 2009 Why do farmers manage disease the way they do? 1. The conventional view (rational choice): Resource endowment and optimum choice; Farmers as autonomous decision makers who take the world around them as given; Implication: Behaviour and choice viewed as equivalent Why, contd. 2 Behavioural view: Farmers’ decision making subject to influences from outside (e.g., peers, Vets, legislation...) The psychology of economic decision making; • farmer’s own belief, compliance with social convention and degree of control over resources and circumstances. Implication: divergence between choice and behaviour; Why, contd. 3 A network view: Individual farmers are linked with each other in a network of relationships; A farmer’s decision to link with others or not to made on costbenefit considerations; a three-way network interaction assumed among • Structure- e.g., of contact • Behaviour – e.g., mode of disease management • Epidemiology – e.g., prevalence, Evaluation Each view has a contribution to make to the understanding of farmers’ current disease management; Veterinary drugs and medicine e.g., Every disease management associated with a certain cost of drugs (“what is” question); Issue of disease management adoption can be viewed an econopsychological/network problem (why and how questions); How much drug to buy can be viewed as an optimization problem; 5 Economic models of infectious animal disease: lit. audit Conventional modelling – costs and benefits of disease incidence and management, growth models, partial/general equilibrium, etc Game-theoretic models, e.g., Incomplete information – uncertainty, herding • Public goods and other externalities - market response, reputation effects, risk (re)allocation; • Nash equilibrium – impossibility of eradication under selfmotivated behaviour; inefficiency of outcome • Network structures Key questions: efficiency vs. stability, multiplicity, dynamics 6 Conceptual frameworks at GoLD 1. Economic epidemiology’s thesis: the cyclicality of disease prevalence, an example Environmental factors increase disease prevalence; Increased prevalence places a burden on farmers initially; Farmers influence the level of disease prevalence ultimately; Behavioural laxity leads to resurgence of disease, and the cycle repeats; 7 Conceptual frameworks at GoLD 2 Biosecurity and Network structure The natural view of this model is of animals becoming ill and recovering; An alternative centres on farmers: as animals fall ill, farmers • Notice illness and respond with treatment; • e.g. susceptible farms drop links with infected farms (inward biosecurity) and vice versa (outward biosecurity); • This influences the distribution of disease prevalence (of endemicity) within a country 8 Current Empirical frameworks at GoLD Testing whether public incentive mechanisms are compatible with farmers’ incentives for disease control; Testing for farmers’ behavioural response to changes in disease prevalence; Testing for the existence of networks using bio-economic data Research plans Panel estimates of three-way interaction; Policy impact assessment; Agent-based simulation; Model-supported scenario development and gaming What and how much do we know about farmers? Are farmers autonomous in their decision-making? Do social networks influence farmer behaviour? Do farmers respond to changes in endemic disease prevalence rates? Do compensation mechanisms influence the degree of farmers’ disease control?