Farm Level Models: A Review of Developments, Concepts and Applications in Canada

Abstract

Development and use of farm‐level models has been a major activity of agricultural economists in Canada during the past twenty‐five years. In this paper, a review is made of the major contributions of Canadian agricultural economists to farm‐level modelling. These activities are interpreted in the context of emerging competition technologies as well as improved understanding of farm‐level decision making. L'élaboration et I'application de modèles d'analyse agro‐économique à I'échelle de I'exploitation agricole individuelle ont été une activité importante des économistes agricoles du Canada au cours des vingt‐cinq dernières années. Les auteurs passent en revue les contributions importantes du Canada dans ce domaine et les interprètent en regard des nouvelles technologies de concurrence, de même que de la meilleure compréhension des mécanismes de prise de décision chez I'exploitant agricole.

The Impacts of Agriculture Support Programs on Wetland Retention on Grain Farms in the Prairie Pothole Region

“…However aggregate models have difficulty capturing individual farm impacts (Klein and Narayanan, 1992). One approach to capturing the complex relationships associated with on-farm drainage decisions is to combine simulation approaches with farm level cash flow models.…”

Modelling conventional and organic farming: a literature review

“…Farm modelling, both empirical and normative, is an important tool for farm planning and extension, research planning and evaluation, and policy analysis (Klein & Narayanan, 1992). Lee (1983) distinguishes three specific needs of farm modelling: (I) understanding likely responses of farms to specific economic conditions and policy provisions, (2) understanding the likely distributive effects of these conditions and provisions, and (3) providing additional detail and likely behavioural responses not well specified in macromodels.…”

Determinants of Sustainability of a Colombian Hillside Farm

“…This study applies a framework proposed by for using stochastic simulation of a farm to characterize sustainability de®ned as the probability of violating speci®ed failure thresholds within a particular interval. Other farm simulation studies (reviewed by Klein andNarayanan, 1992, andJones et al, 1996) have examined factors that contribute to the probability of farm failure. For example, the FLIPSIM farm ®nancial model (Richardson and Nixon, 1985) has been used to study the impacts of farm size (Richardson and Condra, 1981), price variability (Grant et al, 1984), marketing strategies (von Bailey and Richardson, 1985), tenure arrangements and several other policy and management factors on farm survivability.…”