Abstract
A computationally fuzzy multiobjective programming (MOP) approach with a Leontief interindustry model is used to investigate the trade-offs between per capita gross domestic product, national employment, and per capita CO2 emissions in Taiwan. To achieve the objectives of our investigation, the relevant literature is first reviewed, followed by construction of a fuzzy MOP coupled with an input-output model to evaluate the economic impact of the reduction of CO2 emissions on Taiwan’s economy as a whole. Empirical data have been collected, and various strategies for mitigating industrial CO2 emissions are simulated. Based on these simulations, policy recommendations are also proposed.
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