State‐contingent analysis of farmers’ response to weather variability: irrigated dairy farming in the Murray Valley,Australia

The agricultural sector is commonly regarded as one of the most vulnerable to climate change. Current understanding of the impact of climate change on this sector relies on the underlying assumptions about farmers’ possible responses to weather variability, including changes in crop choice, input combinations and land management practices. Many previous analyses rely on the implicit (and restrictive) assumption that farmers operate under a fixed technology set across different states of nature. This assumption, represented through stochastic production or profit functions, is commonly made but seldom tested and may understate farmers’ responses to climate change if state‐contingent production technologies are, in reality, more flexible. The potential for farmers to adapt production technologies in response to unforeseen events is at the core of the state‐contingent approach. Advanced in Chambers and Quiggin (2000), the theory contends that producers can manage uncertainty through the allocation of productive inputs to different states of nature. In this article, we test the assumption that farmers’ observed behaviour is consistent with the state‐contingent production theory using farm‐level data from Australia. More precisely, we estimate the milk production technology for a sample of irrigated dairy farms from the southern Murray–Darling Basin over the period from 2006–2007 to 2009–2010.     

Water use and salinity in the Murray–Darling Basin: A state-contingent model*

The supply of water for irrigation is subject to climatic and policy uncertainty. The object of the present paper is to show how the linear and non-linear programming models commonly used in modelling problems such as those arising in the Murray–Darling Basin may be adapted to incorporate a state-contingent representation of uncertainty. Estimates showing the potential value of improved water use are also derived.     

The impact of online low search costs on firms' incentives to invest in quality

The growing use of the Internet has made search costs lower for consumers. We study the effect of this on the incentives for firms to invest in quality. We assume that there are firms producing high-quality products and others producing low-quality products; we also assume that the market share of the latter is higher than that of the former. Besides, we analyse the changes of both the revenue effect and the quantity effect; we show that they go in the same nonintuitive direction. In other words, when search costs decrease, the incentives to invest in quality increase.     

Pricing goods for retailers: A new approach

In the retail sector, pricing goods is usually based on practitioner's experiences. Most of the time, the selling price is obtained by multiplying the buying price by an exogenous multiplier. However, There is no particular scientific procedure to determine such a multiplier except from the Lerner index, which is applicable only if the price elasticity of demand is inferior to −1. This paper generalizes the Lerner index to both elastic and inelastic goods by proposing an original model to determine the optimal markup for both static and intertemporal markets no matter what the price elasticity is. Finally, the paper considers the case of the social planner.     

Modelling socially optimal land allocations for sugar cane growing in North Queensland: a linked mathematical programming and choice modelling study

A modelling framework is developed to determine the joint economic and environmental net benefits of alternative land allocation strategies. Estimates of community preferences for preservation of natural land, derived from a choice modelling study, are used as input to a model of agricultural production in an optimisation framework. The trade-offs between agricultural production and environmental protection are analysed using the sugar industry of the Herbert River district of north Queensland as an example. Spatially-differentiated resource attributes and the opportunity costs of natural land determine the optimal trade-offs between production and conservation for a range of sugar prices.     

Declining inflows and more frequent droughts in the Murray–Darling Basin: climate change,impacts and adaptation*

It is likely that climate change will be associated with reductions in inflows of water to the Murray–Darling Basin. In this study, we analyse the effects of climate change in the Murray–Darling Basin using a simulation model that incorporates a state‐contingent representation of uncertainty. The severity of the impact depends, in large measure, on the extent to which climate change is manifested as an increase in the frequency of drought conditions. Adaptation will partially offset the adverse impact of climate change.