| 研究生: |
顏琴芳 Yen, Chin-Fang |
|---|---|
| 論文名稱: |
以資料包絡分析法探討歐盟製造業之生產—消費效率與碳排放表現 Evaluating Production and Consumption Efficiency and Carbon Emissions in EU Manufacturing: A DEA Approach |
| 指導教授: |
林泰宇
Lin, Tai-Yu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系 Department of Business Administration |
| 論文出版年: | 2025 |
| 畢業學年度: | 113 |
| 語文別: | 中文 |
| 論文頁數: | 89 |
| 中文關鍵詞: | 動態二階段SBM資料包絡模型 、製造業 、碳排放效率 、能源效率 |
| 外文關鍵詞: | Dynamic Two-Stage SBM DEA, Manufacturing industry, Carbon efficiency, Energy efficiency |
| 相關次數: | 點閱:53 下載:4 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在極端氣候事件日益頻繁與全球推動淨零碳排的背景下,製造業作為碳排放主要來源及經濟成長核心部門,面臨綠色轉型的高度壓力。歐盟製造業不僅對經濟具有關鍵貢獻,在碳中和政策下更被視為實現減碳目標的重要推動者。為促進產業低碳轉型,歐盟近年陸續提出《歐洲綠色政綱》、《Fit for 55》與「潔淨產業政綱」等法規,要求製造業提升能源效率與環境表現,同時建立碳邊境調整機制以加強產業競爭與永續責任。
本研究針對2016至2020年間歐洲22個國家製造業,採用動態兩階段SBM資料包絡分析模型(Dynamic two-stage SBM-DEA),整合生產與銷售兩階段效率分析,並以製造業資本作為跨期變數,考量資本累積對整體效率的影響。在生產階段,投入變數包括製造業勞動力、廠商家數、土地投資與能源產品購入,產出則包含製造業產值、溫室氣體排放與能源消耗;在銷售階段,投入變數為製造業進口額,產出為製造業銷售額,藉此反映市場需求與產出銷售效益。
為深入分析製造業對外依賴程度與環境效率之間的關聯性,本研究依「製造業進口額佔製造業產值比重」進行三等分群,比較不同依存度組別的效率表現。結果顯示,進口依存度愈高,能源使用與碳排放效率普遍較低;反之,依存度愈低的國家多能兼具高能源效率與低碳排放,顯示進口依賴程度與環境績效之間存在反向關係。
本研究認為,製造業對外依賴程度與在地供應鏈結構為影響綠色轉型成效之關鍵因素。政策上應針對不同依存度類型國家,採取差異化策略,如推動在地化、導入碳定價機制、發展綠色出口導向產業等,以提升整體製造業部門之永續競爭力與環境效率。
This study evaluates the energy and carbon emission efficiency of the manufacturing sector in 22 EU countries from 2016 to 2020 using a Dynamic Two-Stage SBM-DEA model. The analysis incorporates both production and sales stages, considering capital as a carry-over variable. Inputs for the production stage include manufacturing employment, number of manufacturing enterprises, manufacturing land investment, and purchases of manufacturing energy products, while outputs consist of manufacturing output value, greenhouse gas emissions, and final energy consumption. The sales stage uses manufacturing import value as inputs and sales revenue as outputs.
To further explore structural differences, countries are grouped based on the ratio of manufacturing import value to manufacturing output value. Results show that higher import dependency is associated with lower energy and carbon efficiency, while countries with lower dependency generally perform better. These findings suggest that external dependency and supply chain structure significantly affect the outcomes of green transitions. Policymakers should adopt differentiated strategies based on dependency levels, including supply chain localization, carbon pricing mechanisms, and green export support, to enhance sustainability and competitiveness in the manufacturing sector.
Belgin, O., & Balkan, D. (2020). Environmental performance assessment of manufacturing sectors. Clean Technologies and Environmental Policy, 22(6), 1405–1415. https://doi.org/10.1007/s10098-020-01880-5
Chen, X., & Gong, Z. (2017). DEA efficiency of energy consumption in china’s manufacturing sectors with environmental regulation policy constraints. Sustainability, 9(2). https://doi.org/10.3390/su9020210
Chen, Y., Wang, M., Feng, C., Zhou, H., & Wang, K. (2021). Total factor energy efficiency in Chinese manufacturing industry under industry and regional heterogeneities. Resources, Conservation and Recycling, 168, 105255. https://doi.org/10.1016/j.resconrec.2020.105255
Dolge, K., Āzis, R., Lund, P., & Blumberga, D. (2021). Importance of energy efficiency in manufacturing industries for climate and competitiveness. Environmental and Climate Technologies, 25, 306–317. https://doi.org/10.2478/rtuect-2021-0022
Ezici, B., Eğilmez, G., & Gedik, R. (2020). Assessing the eco-efficiency of U.s. Manufacturing industries with a focus on renewable vs. Non-renewable energy use: An integrated time series mrio and dea approach. Journal of Cleaner Production, 253, 119630. https://doi.org/10.1016/j.jclepro.2019.119630
Fujii, H., & Managi, S. (2015). Optimal production resource reallocation for CO2 emissions reduction in manufacturing sectors. Global Environmental Change, 35, 505–513. https://doi.org/10.1016/j.gloenvcha.2015.06.005
Han, J., Li, G., Shen, Z., Song, M., & Zhao, X. (2022). Manufacturing transfer and environmental efficiency: Evidence from the spatial agglomeration of manufacturing in China. Journal of Environmental Management, 314, 115039. https://doi.org/10.1016/j.jenvman.2022.115039
Kang, Y.-Q., Xie, B.-C., Wang, J., & Wang, Y.-N. (2018). Environmental assessment and investment strategy for China’s manufacturing industry: A non-radial DEA based analysis. Journal of Cleaner Production, 175, 501–511. https://doi.org/10.1016/j.jclepro.2017.12.043
Lee, H., & Choi, Y. (2019). Environmental performance evaluation of the korean manufacturing industry based on sequential DEA. Sustainability, 11, 874. https://doi.org/10.3390/su11030874
Liao, S., Wang, D., Ren, T., & Liu, X. (2022). Heterogeneity and decomposition analysis of manufacturing carbon dioxide emissions in china’s post-industrial innovative megacity shenzhen. International Journal of Environmental Research and Public Health, 19(23). https://doi.org/10.3390/ijerph192315529
Nicholson, S. R., Rorrer, N. A., Carpenter, A. C., & Beckham, G. T. (2021). Manufacturing energy and greenhouse gas emissions associated with plastics consumption. Joule, 5(3), 673–686. https://doi.org/10.1016/j.joule.2020.12.027
Peng, F., & Zhang, X. (2023). Does industry-university-research cooperation promote the environmental efficiency of China’s high-tech manufacturing? Frontiers in Ecology and Evolution, 11. https://doi.org/10.3389/fevo.2023.1148018
Poveda, A. C., & Martínez, C. I. P. (2013). CO2 emissions in German, Swedish and Colombian manufacturing industries. Regional Environmental Change, 13(5), 979–988. https://doi.org/10.1007/s10113-013-0405-y
Román, Á., & Kabir, G. (2024). Assessing carbon dioxide emissions in manufacturing industries: A systematic review. Energies, 17, 5119. https://doi.org/10.3390/en17205119
Sahu, S. K., & Mehta, D. (2018). Determinants of energy and Co2 emission intensities: A study of manufacturing firms in india. The Singapore Economic Review, 63(02), 389–407. https://doi.org/10.1142/S0217590817400173
Sendawula, K., Bagire, V., Mbidde, C., & Turyakira, P. (2020). Environmental commitment and environmental sustainability practices of manufacturing small and medium enterprises in Uganda. Journal of Enterprising Communities: People and Places in the Global Economy, ahead-of-print. https://doi.org/10.1108/JEC-07-2020-0132
Shi, Y., Han, B., Zafar, M. W., & Wei, Z. (2019). Uncovering the driving forces of carbon dioxide emissions in Chinese manufacturing industry: An intersectoral analysis. Environmental Science and Pollution Research, 26(30), 31434–31448. https://doi.org/10.1007/s11356-019-06303-7
Sun, X., Wang, Y., & Ren, J. (2022). Sources of greenhouse gas emission reductions in OECD countries: Composition or technique effects. Ecological Economics, 193, 107288. https://doi.org/10.1016/j.ecolecon.2021.107288
Tan, L., Gao, D., & Liu, X. (2024). Can environmental information disclosure improve energy efficiency in manufacturing? Evidence from chinese enterprises. Energies, 17(10). https://doi.org/10.3390/en17102342
Yang, M., Wang, E.-Z., & Hou, Y. (2021). The relationship between manufacturing growth and CO2 emissions: Does renewable energy consumption matter? Energy, 232, 121032. https://doi.org/10.1016/j.energy.2021.121032