One: The Global Warming Problem.- 1.1 Introduction.- 1.2 The Greenhouse Effect.- 1.3 Historical Data Substantiating the Greenhouse Effect.- 1.4 Uncertainties in Estimating Global Warming.- 1.5 Impacts of Global Warming.- 1.6 Conclusion.- Two: Policy Responses and International Coordination.- 2.1 Introduction.- 2.2 Policy Objectives.- 2.3 Policy Coordination and International Cooperation.- 2.4 Conclusion.- Three: The Mathematical Model.- 3.1 Introduction.- 3.2 Model Nomenclature.- 3.3 Set Specifications.- 3.4 The Model Equations.- Four: Numerical Data for a Multi-Regional, Multi-Sectorial, and Multi-Process Optimal Growth Model.- 4.1 Introduction.- 4.2 Input-Output Coefficients (A Matrix).- 4.3 Capital Coefficients (B matrix).- 4.4 Capital-Output Coefficient.- 4.5 Land-Output Coefficients.- 4.6 Energy-Output Coefficients.- 4.7 Carbon Dioxide Emission Coefficients.- 4.8 Carbon Dioxide Emission Coefficients from Deforestation.- 4.9 Initial Conditions.- 4.10 Transfer Coefficients for the Carbon Cycle.- Five: Numerical Results of Policy Experiments.- 5.1 Introduction.- 5.2 Experiment One: Business As Usual (BASE).- 5.3 Experiment Two: Stabilizing CO2 Emissions Levels (SCE).- 5.4 Experiment Three: The Developed Region Accepts a CO2 Protocol, "PayBack" (PB).- 5.5 Experiment Four: The Developing Region Accepts a CO2 Protocol, the "Bribe" Experiment(B).- 5.6 Experiment Five: Holistic Model Simulation (Holistic Base).- 5.7 Conclusion.- Six: Sensitivity Analysis.- 6.1 Introduction.- 6.2 Sensitivity Analysis on Feedback Parameters.- 6.3 Sensitivity Analysis on Land-Output Coefficient.- 6.4 Conclusion.- Seven: Summary and Conclusion.- Appendix ONE The GAMS Statement.- Appendix TWO Data Calibration.
