Recycled Effluent: Should the Polluter Pay?

A coastal city can either dispose of recycled effluent by dumping it in the sea, or transfer it to farmers in its hinterland for irrigation. Who should bear the cost of recycling? Three alternatives are employed: a central planner who maximizes the combined utility of city and farmers; regulation by prices, for which purpose we develop the city's supply function; and a bargaining framework for the allocation of costs. The main conclusions are that "the polluter pays" rule cannot be justified in principle and that bargaining may result in inefficiency. We demonstrate with an example from Israel that essentially conforms to the theoretical structure.     

DYNAMIC FARM—LEVEL PLANNING MODEL FOR BEEF FEEDLOT PRODUCTION AND MARKETING

The study is aimed at formulating and empirically applying a dynamic farm-level model for the planning of optimal beef feedlot production and marketing strategies. A dynamic programming (DP) model is used to calculate the optimal feeding schedule (i.e. liveweight gain sequence), market liveweight and stock replacement for a single bull calf over a one-year planning period, taking into account seasonal fluctuations of planning parameters such as beef prices, feeding costs, nutritional requirements, and stock replacement costs and obtainability. The DP model includes a linear programming (LP) subroutine for calculating least-cost feed rations. The planning model is empirically applied using data and assumptions representative offeedlots in the Coastal Plain region of Israel where most feedlot production and marketing decisions are made by ‘rule-of-thumb’ using set liveweight gain sequences, market standards and stock replacement decisions. The empirical findings indicate that the profitability of feedlot production and marketing could be increased by an average of 10% over that obtained from ‘rule-of-thumb’ decision rules.     

Agri‐environmental Instruments for an Integrated Rural Policy: An Economic Analysis

The new Rural Development Regulation of the EU reflects the shift of attention within rural areas from agricultural production towards rural development and embraces both farmers and non‐farm residents. While agricultural production is required to comply with environmental standards, rural areas also have to fulfil the growing demand for landscape, outdoor recreation and wildlife conservation. This paper develops a model of a rural area where farmers and non‐farm residents live together. A central government uses a combination of two‐policy instruments ‐ direct compensation payments and public services ‐ aimed at encouraging farmers to adopt environmentally beneficial practices and at the same time to increase the provision of countryside amenities and the sustained vitality of the rural area. The optimal mix of the policy instruments is evaluated under various governmental objectives. The analysis suggests that a combination of direct payments to farmers with the supply of local public services is a promising tool for rural policy development initiatives in the EU.     

Uncertain Land Availability and Investment Decisions: The Case of Dutch Dairy Farms

Within the EU, uncertainty about the possibility of acquiring land can be quite significant for individual farmers in sectors like dairy farming. Farm‐level investment decisions are commonly made ex‐ante, when the farmer is not certain about the possibility of purchasing land. This possibility is realised only in a future period. In this paper, we have developed and applied a simple two‐period model in which a profit‐maximising farmer, facing uncertainty about the possibility of acquiring land, has to choose the optimal mix of capital (buildings) investment and land endowment. We illustrate the model using data from Dutch dairy farms.     

Value of information on crop response function to soil salinity in a farm-level optimization model

The study investigates the value of additional information on the response function to soil salinity of a given crop (potatoes), with regard to a stochastic long-run optimization model for utilization of saline water in a single-farm framework. The analysis provides a conceptual and methodological framework for investigating the expected value of sample information (evsi ), as well as an efficient tool for empirical application. Although a few approximations have been used, the results provide an estimate of evsi and indicate the need for additional information.