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Australian Government
abare.gov.au
Australian Agricultural and Resource Economics Society (AARES)
An analytical framework for incorporating land use change and forestry in a dynamic CGE model
    Abstract
      Introduction
      Review of LUCF
      modelling in CGE models

      Insights from
      forestry economics

      An alternative framework
      for modelling LUCF
      (3 forests X 3 decisions)

      Modelling investors problem in the forestry sector
      Harvesting forests:
      the supply side of
      the logs market

      Equilibrium conditions
      for the planting sector

      Equilibrium conditions
      for the logging sector

      Modelling the land market
      Summary
      Download PDF

An analytical framework for incorporating land use change and forestry in a dynamic CGE model

Hom M Pant

Abstract

Forestry poses a challenge to computable general equilibrium (CGE) modellers working with recursively dynamic models. This is because of the lag between its inputs and output, which do not correspond to the same time period as other sectors. Inputs are applied for a number of years before a forest is ready for harvest. As a result, attempts in the past to incorporate a well-specified forestry sector in a recursive CGE model have been only partly successful. The purpose of this paper is to fill this gap by presenting a consistent analytical framework which can be used to incorporate forestry into a recursively dynamic global CGE model. A key feature of the framework is that it splits the forestry activity into three parts—planting, holding and harvesting. Planting and harvesting are done by standard production sectors and holding is done by investors, whose behaviour is already modelled in these CGE models. In addition, global forests are classified into three groups—commercial plantation forests, environmental plantation forests and native forests. All harvested forest land is made available for competition for alternative agricultural uses and will be allocated to the activity it is best suited for, given productivity differences for different activities. This framework can be used in a CGE modelling framework to support implementation of the proposed reduced emissions from deforestation and forest degradation (REDD) schemes as well as being applied to study land allocations, nationally and globally, across activities under alternative scenario assumptions. For example, the model can be used to project the effects on food production and prices of an increase in bio-fuel subsidies.

Acknowledgements

The author wishes to thank Sinniah Mahendrarajah, Melanie Ford, Edwina Heyhoe, Evan Calford, Ahmed Hafi, Kenton Lawson, Sally Thorpe, Tim Clancy, Helal Ahammad, Kevin Burns, Mike Hinchy, Bruce Taplin and Jammie Penm for useful comments on the draft and suggestions made on subsequent discussions without implicating them in anyway for the remaining errors.