Assessing the Effects of Carbon Taxes on Different Industry Sectors – a Fuzzy Goal Programming Model Integrated with Grey Prediction and Input-output Theory
نویسندگان
چکیده
Application of price mechanisms has been the important instrument for carbon reduction, among which the carbon tax have been frequently advocated as a cost-effective economic tool. This study aims to assess the effects of carbon taxes on different industry sectors in Taiwan. A fuzzy goal programming approach, integrated with grey prediction and input-output theory, is used to construct a model for assessing the CO2 reduction potential and the induced economic impacts of a selected carbon tax scenario on different industry sectors. Results indicate that the up-stream sectors show improved CO2 reduction while the down-stream sectors fail to achieve their reduction targets. The results also find that the sectors with significant CO2 reduction usually encounter the greater GDP losses.
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