台灣近年半導體產業領先全球，為半導體產業最為密集且產業鏈最完整的國家。國內半導體製造產業的營業額和產值影響著台灣的經濟發展，但同時半導體製造業的能源消耗量極為龐大，台灣製造業長期處於我國第二大碳排放來源。在製造及生產的過程中主要的碳排放來源多以能源的消耗為主，如此龐大的能源消耗亦造成碳排放量的上升加劇，而隨著近年環保意識的抬頭以及國際間的規範，在提高生產價值的同時，也需努力減少製造過程中對於環境所帶來的衝擊，考量國內半導體製造業所帶來的經濟機會與對於環境的威脅，必須考慮製造過程中對於環境造成的影響，為了達成永續發展的目標，需要審視半導體製造業產值以及碳排放間的消長關係，找出相關趨勢，並且針對脫鉤因素進行分析，因此本研究以Tapio指標分析法分析台灣半導體產業近年來生產值與能源消耗碳排放之間的脫鉤關係，並且利用LMDI分解法分析碳排放消耗的因素，Tapio指標結果顯示2012年至2014年以及2020年至2021年我國半導體製造業生產價值及能源消耗碳排放呈現弱脫鉤趨勢，而LMDI分解結果更顯示脫鉤因素多被能源密度效果以及燃料係數效果所影響，民國2018年時更因為能源密度效果、能源組合效果以及能源係數效果等三個因素，導致生產價值成長率提升，而能源消耗碳排放成長率下降，達成半導體產值與碳排放的強脫鉤階段。整體而言台灣半導體製造業處於弱脫鉤階段，且本研究結果顯示半導體製造業脫鉤因素與能源相關，台灣發電結構以及發電效率與半導體製造業的碳排放密不可分，本研究可用以檢視近年半導體製造業產值與碳排放間的關係，做為我國推動相關永續政策提供參考。

In recent years, Taiwan's semiconductor industry has led the world, Taiwan has the most intensive semiconductor industry and the most complete industrial chain. The turnover and output value of the domestic semiconductor manufacturing industry affect Taiwan's economic development, but at the same time, the energy consumption of the semiconductor manufacturing industry is extremely large. However, one of the main reasons for the increase in carbon emissions is the use of non-renewable energy sources such as fossil fuels to produce electricity. Taiwan's manufacturing industry has long been the second largest source of carbon emissions. Taiwan's power generation structure is dominated by thermal power generation. Such a huge electricity consumption also causes a large carbon emission. With the rise of environmental awareness and international norms in recent years, while improving production value, it is also necessary to reduce the impact on the environment during the manufacturing process. In order to achieve the goal of sustainable development, it is necessary to examine the relationship between the output value of the semiconductor industry and carbon emissions., find out the relevant trends, and analyze the factors that affect the carbon emissions of semiconductors. Therefore, this study uses the Tapio index analysis method to analyze the decoupling relationship between the production value of Taiwan's semiconductor industry and the carbon emissions of energy consumption in recent years, and uses the LMDI decomposition method to analyze Factors in the consumption of carbon emissions. The Tapio index results show that From 2012 to 2014 and from 2000 to 2021, the production value of Taiwan's semiconductor manufacturing industry and energy consumption carbon emissions showed a weak decoupling trend, and the LMDI decomposition results showed that the decoupling factors were mostly affected by the effect of energy intensity and fuel coefficient. In 2018, energy intensity effect, energy combination effect, and energy coefficient effect, led to an increase in the growth rate of production value, while the growth rate of energy consumption carbon emissions declined, achieving a stage of strong decoupling between semiconductor output value and carbon emissions. Overall, Taiwan's semiconductor manufacturing industry is in a stage of weak decoupling. In order to achieve net zero emissions on 2050, it is still necessary to continue to maintain the decoupling advantage, and to reduce the impact on the environment while increasing the output value.

參考文獻
【1】 Ang, B. W. (2004). "Decomposition analysis for policymaking in energy:: which is the preferred method?" Energy policy 32(9): 1131-1139.
【2】 Ang, B. W. (2015). "LMDI decomposition approach: A guide for implementation." Energy Policy 86: 233-238.
【3】 Dong, J., C. Li and Q. Wang (2021). "Decomposition of carbon emission and its decoupling analysis and prediction with economic development: A case study of industrial sectors in Henan Province." Journal of Cleaner Production 321: 129019.
【4】 Hoballah, A. and S. Averous (2015). "Ensure sustainable consumption and production patterns." UN Chronicle 51(4): 28-29.
【5】 Jia, H., T. Li, A. Wang, G. Liu and X. Guo (2021). "Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective." Resources Policy 74: 102448.
【6】 Kuo, T.-C., C.-Y. Kuo and L.-W. Chen (2022). "Assessing environmental impacts of nanoscale semi-conductor manufacturing from the life cycle assessment perspective." Resources, Conservation and Recycling 182: 106289.
【7】 Li, C., H. Hu, L. Deng, Y. Liu and Z. Wang (2021). "Structural decoupling the sectoral growth from complete energy consumption in China." Energy Strategy Reviews 34: 100634.
【8】 OCED (2002). "Sustainable development: indicators to measure decoupling of environmental pressure from economic growth."
【9】 OECD (2003). "Environmental indicators: development, measurement and use."
【10】 Shuai, C., X. Chen, Y. Wu, Y. Zhang and Y. Tan (2019). "A three-step strategy for decoupling economic growth from carbon emission: Empirical evidences from 133 countries." Science of The Total Environment 646: 524-543.
【11】 Tapio, P. (2005). "Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001." Transport Policy 12(2): 137-151.
【12】 UNEP (2011). Decoupling natural resource use and environmental impacts from economic growth, A Report of the Working Group on Decoupling to the International Resource Panel.
【13】 Wang, K., Y. Zhu and J. Zhang (2021). "Decoupling economic development from municipal solid waste generation in China’s cities: Assessment and prediction based on Tapio method and EKC models." Waste Management 133: 37-48.

【14】 Wang, Q. and S. Wang (2022). "Carbon emission and economic output of China’s marine fishery – A decoupling efforts analysis." Marine Policy 135: 104831.
【15】 世界半導體貿易統計協會 (2022). WSTS Semiconductor Market Forecast.
【16】 台灣電力公司 (2022). 電力淨零排放資訊揭露.
【17】 行政院環境保護署 (2021). 中華民國國家溫室氣體清冊報告2021年版.
【18】 國家發展委員會 (2022). 臺灣 2050 淨零排放路徑及策略總說明.
【19】 國際能源署 (2022). CO2 emissions by sector, Chinese Taipei 1990-2019.
【20】 經濟部能源局 (2021). 2021生產性質能源查核年報.
【21】 經濟部統計處 (2022). 經濟統計數據分析系統.
【22】 黃群達（2006）。住宅與商業部門能源消費及二氧化碳排放特性與趨勢變動分析。國立成功大學環境工程學系碩博士班碩士論文，台南市。
【23】 Yan Song, Junjie Sun, Ming Zhang, Bin Su, (2020) Using the Tapio-Z decoupling model to evaluate the decoupling status of China's CO2 emissions at provincial level and its dynamic trend,Structural Change and Economic Dynamics,
【24】 林韋廷 (2017 )IEA 燃料燃燒碳排放數據分析 ─以全球、亞洲區域及歐美亞的主要國家為例進行探討
【25】 Simon Evans (2017) Mapped: Climate change laws around the world
【26】 財團法人工業技術研究院(2021) 2021生產性質能源查核年報Energy Audit Annual Report For Productive Industries 2021