| Summary: | 碩士 === 國立成功大學 === 環境工程學系 === 88 === This study aims to find energy consumption and CO2 emission characteristics of the rubber products industry of Taiwan. Input-output analysis is used to quantify inter-industry linkage relationships. And factor analysis is use to identify the major factor causing of CO2 emissions. A survey was used to collect industrial opinions. The study also uses grey fuzzy multi-objective programming (GFMOP) to simulate the CO2 reduction model and to evaluate feasible CO2 reduction scenarios by adjusting energy price, imposing carbon tax, and changing industrial production capacity. The goal of the model is to return the CO2 emissions of rubber products industry at year 2020 to year 2000.
Factor analysis shows that energy intensity and economic growth are major factors for the increase of CO2 emissions, while the structure share is the only cause for the decrease of CO2. Results of multiplier analysis demonstrates that indirect CO2 effect increases yearly, that means the CO2 emissions from related industries have contributed rapidly that the rubber products industry.
Even though most of the factories surveyed tend to impose energy or carbon taxes with energy use, ‘information lack’ and ‘limits of technique’ are their main difficulties. Results indicate that grey fuzzy multi-objective programming (GFMOP) can reflect the uncertain situation of reality. It is only possible to achieve the above goal when the rubber products industry reduces 10% of industrial production capacity combined with a carbon tax of $25/tonCO2.
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