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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 王淑美 | zh_TW |
dc.contributor.advisor | Shu-Mei Wang | en |
dc.contributor.author | 黃心璇 | zh_TW |
dc.contributor.author | Hsin-Hsuan Huang | en |
dc.date.accessioned | 2023-08-15T16:24:57Z | - |
dc.date.available | 2023-11-09 | - |
dc.date.copyright | 2023-08-15 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-07-24 | - |
dc.identifier.citation | 水利署(2020年4月17日)。臺灣地區108年降雨量概況。取自:https://epaper.wra.gov.tw/Article_Detail.aspx?s=6014&n=30177
何嘉浩(2017年12月)。農產加工,食品安全先於商業化:農業多元化經營趨勢正盛,應正視食品加工專業。豐年雜誌,67(12),14-20。 金管會(2014年9月18日)。強制上市(櫃)特定公司編製企業社會責任報告書。取自:https://www.fsc.gov.tw/ch/home.jsp?id=96&parentpath=0,2&mcustomize=news_view.jsp&dataserno=201409180005&toolsflag=Y&dtable=News 財團法人食品工業發展研究所(2022年8月9日)。食品產業年鑑。取自:https://www2.itis.org.tw/PubReport/PubReport_Detail.aspx?rpno=37328557&industry=3 黃心璇、王淑美、李揚(2022年12月3日)。應用拔靴法處理誤差修正的企業總要素能源效率。在黃美瑛(主持),Session 2能源與運輸績效分析〔研討會演講〕。台灣效率與生產力學會學術論文研討會,臺北市,臺灣。 經濟部(2022年3月5日)。臺灣2050淨零排放路徑藍圖。取自:https://www.moea.gov.tw/MNS/ietc/content/Content.aspx?menu_id=36553 經濟部(2022年10月7日)。引領產業淨零轉型 經濟部發布「製造部門2030淨零轉型路徑」。取自:https://www.moea.gov.tw/MNS/populace/news/News.aspx?kind=1&menu_id=40&news_id=103058 經濟部技術處(2023年1月18日)。低碳趨勢下全球食品剩餘資材升級再造。取自:https://www.moea.gov.tw/MNS/doit/industrytech/IndustryTech.aspx?menu_id=13545&it_id=459 衛福部(2017年7月4日)。推動食安五環,把關國人食安。取自:https://www.mohw.gov.tw/cp-3539-36715-1.html 衛福部(2019年6月12日)。食品安全衛生管理法。取自:https://law.moj.gov.tw/LawClass/LawAll.aspx?pcode=L0040001 環保署(2008年6月5日)。永續能源政策綱領。取自:https://www.ey.gov.tw/Page/9277F759E41CCD91/6f0faa1c-9406-48d0-97aa-78ccea4f3f02 環保署(2015年7月1日)。溫室氣體減量及管理法。取自:https://ghgrule.epa.gov.tw/admin/resource/files/%E6%BA%AB%E5%AE%A4%E6%B0%A3%E9%AB%94%E6%B8%9B%E9%87%8F%E5%8F%8A%E7%AE%A1%E7%90%86%E6%B3%95%E6%A2%9D%E6%96%87.pdf 環保署(2017年4月13日)。改造或汰換鍋爐補助辦法。取自:https://oaout.epa.gov.tw/law/LawContent.aspx?id=GL007264 環保署(2022年3月22日)。溫室氣體排放統計。取自:https://www.epa.gov.tw/Page/81825C40725F211C/6a1ad12a-4903-4b78-b246-8709e7f00c2b 環保署(2023年1月10日)。溫室氣體減量及管理法修正草案總說明。取自:https://enews.epa.gov.tw/DisplayFile.aspx?FileID=26E59EF644F21D93 歐冠昕(2014)。台灣三大耗能產業能源效率變動趨勢分析:能源生產力估計法之應用[未出版之碩士論文]。國立中央大學產業經濟研究所。 Ali, A.I., Seiford, L.M. (1993). The mathematical programming approach to efficiency analysis. Oxford University Press. Ang, B. W., Mu, A. R., & Zhou, P. (2010). Accounting frameworks for tracking energy efficiency trends. Energy Economics 32, 1209-1219. doi: 10.1016/j.eneco.2010.03.011 Bajan, B., Mrówczynska-Kaminska, A., & Poczta, W. (2020). Economic energy efficiency of food production systems. Energies, 13, 5826. doi: 10.3390/en13215826 Banker, R. D., Charnres, A., & Cooper, W. W. (1984). Some Models for Estimation of Technical and Scale Inefficiencies in data envelopment analysis. Management Science, 30, 1078-1092. doi: 10.1287/mnsc.30.9.1078 Banker, R.D. (1993). Maximum likelihood, consistency and data envelopment analysis: A statistical foundation. Management Science, 39, 1265-1273. doi: 10.1287/mnsc.39.10.1265 Bhadbhade, N., & Patel, M. K. (2020). Analsysis of energy efficiency improvement and carbon dioxide abatement potentials for Swiss food and beverage sector. Resources, Conservation and Recycling, 161, 104967. doi: 10.1016/j.resconrec.2020.104967 Bilali, H. E., Strassner, C., & Hassen, T. B. (2021). Sustainable agri-food systems: environment, economy, society, and policy. Sustainability, 13, 6260. doi: 10.3390/ su13116260 Bogetoft, P., & Otto, L. (2011). Benchmarking with DEA, SFA, and R. (1st ed.). Springer New York, NY. doi: 10.1007/978-1-4419-7961-2 Bundschuh, J., Chen, G., & Mushtaq, S. (2014). Towards a sustainable energy technologies based agriculture. Sustainable Energy Solutions in Agriculture, 3, 3-15. doi: 10.1201/B16643-9 Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision-making units. European Journal of Operational Research, 2, 429-444. doi: 10.1016/0377-2217(78)90138-8 Clairand, J. M., Briceño-León, M., Escrivá-Escrivá, G., & Pantaleo, A. M. (2020). Review of energy efficiency technologies in the food industry: Trends, barriers, and opportunities. Institute of Electrical and Electronics Engineers, 8, 48015-48029. doi: 10.1109/ACCESS.2020.2979077 European Environment Agency (EEA). (2015). The European environment — State and outlook 2015. European Environment Agency. Environmental Investigation Agency (EIA). (2020). Annual energy outlook with projections to 2050. Environmental Investigation Agency. https://www.eia.gov/outlooks/aeo/pdf/AEO2020%20Full%20Report.pdf Ehrenfeld, J. R. (2005). Eco-efficiency: Philosophy, theory, and tools. Journal of Industrial Ecology, 9, 6-8. doi: 10.1162/108819805775248070 Fanzo, J., Haddad, L., Schneider, K., Bene, C., Covic, N. M., Guarin, A., Herforth, A. W., Herrero, M., Sumaila, U. R., Aburto, N. J., Amuyunzu-Nyamongo, M., Barquera, S., Battersby, J., Beal, T., Molina, P. B., Brusset, E., Cafiero, C., Campeau, C., Caron, P., …, Moncayo, J. R. (2021). Viewpoint: Rigorous monitoring is necessary to guide food system transformation in the countdown to the 2030 global goals. Food Policy, 104, 102163. doi: 10.1016/j.foodpol.2021.102163 Food and Agriculture Organization (FAO). (2011). Energy-smart food for people and climate. Food and Agriculture Organization. Fouquet, R. (2011). Long run trends in energy-related external costs. Ecological Economics, 70, 2380-2389. doi: 10.1016/j.ecolecon.2011.07.020 Giannoccaro, G., J. Berbel, M. Prosperi., & Zanni, G. (2011). Benchmarking exercise using data envelopment analysis: An application to irrigation water pricing. Options Mediterrannees, 98, 140-150. Hassoun, A., Bekhit, A. E., Jambrak, A. R., Regenstein, J. M., Chemat, F., Morton, J. D., Gudjonsdottir, M., Carpena, M., Prieto, M. A., Varela, P., Arshad, R. N., Aadil, R. M., Bhat, Z., & Ueland, O. (2022). The fourth industrial revolution in the food industry—part II: Emerging food trends. Critical reviews in Food Science and Nutrition. doi: 10.1080/10408398.2022.2106472 Honma, S., & Hu, J. L. (2008). Total-factor energy efficiency of regions in Japan. Energy Policy, 36, 821-833. doi: 10.1016/j.enpol.2007.10.026 Hu, J. L., & Chang, T. P. (2016). Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application. In Joe Zhu (Ed.), Data Envelopment Analysis (pp. 45-69). Springer. Hu, J. L., Lin, Y. J., & Lee, Y. M. (2021). Water efficiency of counties and cities in Taiwan. Water Utility Journal, 29, 43-53. Hu, J. L., Lio, M. C., Yeh, F. Y., & Lin, C. H. (2011). Environment-adjusted regional energy efficiency in Taiwan. Applied Energy, 88, 2893-2899. doi: 10.1016/j.apenergy.2011.01.068 Hu, J. L., Tseng, Y. H., & Tsay, H. W. (2017). Water congestion efficiency of regions in China. Water Utility Journal, 17, 19-34. Hu, J. L., & Wang, S. C. (2006). Total-factor energy efficiency of regions in China. Energy Policy, 34, 3206-3217. doi: 10.1016/j.enpol.2005.06.015 Hu, J. L., Wang, S. C., & Yeh, F. Y. (2006). Total-factor water efficiency of regions in China. Resources Policy, 31, 217-230. doi: 10.1016/j.resourpol.2007.02.001 Huang, J., Yang, X., Cheng, G., & Wang, S. (2014). A comprehensive eco-efficiency model and dynamics of regional eco-efficiency in China. Journal of Cleaner Production, 67, 228-238. doi: 10.1016/j.jclepro.2013.12.003 Intergovernmental Panel on Climate Change (IPCC). (2022). Climate change 2022: Mitigation of climate change. Intergovernmental Panel on Climate Change. International Water Association (IWA). (2022). Total Charges Drinking Water for Cities in 2021 For A Consumption Of 100 m³. International Water Association. Iten, M., Fernandes, U., & Oliveira, M. C. (2021). Framework to assess eco-efficiency improvement: Case study of a meat production industry. Energy Reports, 7, 7134-7148. doi: 10.1016/j.egyr.2021.09.120 Jin, W., Zhang, H. Q., Liu, S. S., & Zhang, H. B. (2019). Technological innovation, environmental regulation, and green total factor efficiency of industrial water resources. Journal of Cleaner Production, 211, 61-69. doi: 10.1016/j.jclepro.2018.11.172 Khan, S., Khan, M. A., Hanjra, M. A., & Mu, J. (2009). Pathways to reduce the environmental footprints of water and energy inputs in food production. Food Policy, 34, 141-149. doi: 10.1016/j.foodpol.2008.11.002 King, A. P., & Eckersley, R. J. (2019). Statistics for Biomedical Engineers and Scientists (1st ed., Vol. 1). Academic Press. Kuosmanen, T., & Kortelainen, M. (2005). Measuring eco‐efficiency of production with data envelopment analysis. Journal of Industrial Ecology, 9(4), 59-72. doi: 10.1162/108819805775247846 Lamb, W. F., et al. (2021). A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018. Environmental Research Letters, 16, 073005. doi: 10.1088/1748-9326/abee4e Ladha-Sabur, A., Bakalis, S., Fryer, P. J., & Lopez-Quiroga, E. (2019). Mapping energy consumption in food manufacturing. Trends in Food Science and Technology, 86, 270-280. doi: 10.1016/j.tifs.2019.02.034 Li, Y., Liu. A. C., Wang, S. M., Zhan, Y., Chen, J., & Hsiao, H. F. (2022a). A study of total-factor energy efficiency for regional sustainable development in China: An application of bootstrapped DEA and clustering approach. Energies, 15, 3093. doi: 10.3390/en15093093 Ma, C. M., Chen M. H., & Hong, G. B. (2012). Energy conservation status in Taiwanese food industry. Energy Policy, 50, 458-463. doi: 10.1016/j.enpol.2012.07.043 Maia, R. G. T., & Junior, A. O. P. (2021). Eco-Efficiency of the food and beverage industry from the perspective of sensitive indicators of the water-energy-food nexus. Journal of Cleaner Production, 324, 129283. doi: 10.1016/j.jclepro.2021.129283 Maxime, D., Marcotte, M., & Arcand, Y. (2006). Development of eco-efficiency indicators for the Canadian food and beverage industry. Journal of Cleaner Production, 14, 636-648. doi: 10.1016/j.jclepro.2005.07.015 Meyers, S., Schmitt, B., Chester-Jones, M., & Sturm, B. (2016). Energy efficiency, carbon emissions, and measures towards their improvement in the food and beverage sector for six European countries. Energy 104, 266-283. doi: 10.1016/j.energy.2016.03.117. Morais, D., Gaspar, P. D., Silva, P. D., Andrade, L. P., & Nunes, J. (2020). Energy consumption and efficiency measures in the Portuguese food processing industry. Journal of Food Processing and Preservation, 46, e14862. doi: 10.1111/jfpp.14862 Nikmaram, N., & Rosentrater, K. A. (2019). Overview of some recent advances in improving water and energy efficiencies in food processing factories. Frontiers in Nutrition, 6, 20. doi: 10.3389/fnut.2019.00020 Nunes, J., da Silva, P. D., Andrade, L. P., Domingues, L., & Gasper, P. D. (2016). Energy assessment of the Portuguese meat industry. Energy Efficiency, 9, 1163-1178. doi: 10.1007/s12053-015-9414-7 OECD (1998). Eco-efficiency. Organisation for Economic Cooperation and Development. Olabia, A. G., & Abdelkareema, M. A. (2022). Renewable energy and climate change. Renewable and Sustainable Energy Reviews, 158, 112211. doi: 10.1016/j.rser.2022.112111 Pagotto, M., & Halog, A. (2015). Towards a circular economy in Australian agri-food industry. Journal of Industrial Ecology, 20 (5), 1176-1186. doi: 10.1111/jiec.12373 Picazo-Tadeo, A. J., Beltrán-Esteve, M., & Gómez-Limón, J. A. (2012). Assessing eco-efficiency with directional distance functions. European Journal of Operational Research, 220, 798-809. doi: 10.1016/j.ejor.2012.02.025 Pires, M. S., Thomsen, S. T., Nauta, M., Poulsen, M., & Jakobsen, L. S. (2020). Food safety implications of transitions toward sustainable healthy diets. Sustainable and Healthy Diets Supplement, 41(2S), S104-S124. doi: 10.1177/0379572120953047 Randell, H., Gray, C., & Shayo, E. H. (2022). Climatic conditions and household food security: Evidence from Tanzania. Food Policy, 112, 102362. doi: 10.1016/j.foodpol.2022.102362 Sanwal, M. (2012). Rio +20, climate change and development: the evolution of sustainable development (1972-2012). Climate and Development, 4(2), 157-166. Seiford, L. M., & Zhu, J. (2002). Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research, 142, 16-20. doi: 10.1016/S0377-2217(01)00293-4 Simar, L., & Wilson, P. W. (1998). Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models. Institute for Operations Research and the Management Sciences, 44(1), 49-61. doi: 10.1287/mnsc.44.1.49 Simeonovski, K., Kaftandzieva, T., & Brock, G. (2021). Energy efficiency management across EU countries: A DEA approach. Energies, 14, 2619. doi: 10.3390/en14092619 Song, M., An, Q., Zhang, W., Wang, Z., & Wu, J. (2012). Environmental efficiency evaluation based on data envelopment analysis: A review. Renewable and Sustainable Energy Reviews, 16(7), 4465-4469. doi: 10.1016/j.rser.2012.04.052 Ucal, M., & Xydis, G. (2020). Multidirectional relationship between energy resources, climate changes and sustainable development: Technoeconomic analysis. Sustainable Cities and Society, 60, 102210. doi: 10.1016/j.scs.2020.102210 United Nations. (1972). Report of the United Nations conference on the human environment. United Nations. United Nations. (1992). United Nations Framework Convention on Climate Change. United Nations. United Nations. (1997). Kyoto Protocol to the United Nations Framework Convention on Climate Change. United Nations. United Nations. (2015). The Paris Agreement. United Nations. United Nations. (2023). The United Nations World Water Development Report 2023: partnerships and cooperation for water. United Nations. Wang, K., & Wei, Y. M. (2014). China’s regional industrial energy efficiency and carbon emissions abatement costs. Applied Energy, 130, 617-631. doi: 10.1016/j.apenergy.2014.03.010 World Commission on Environment and Development (WCED). (1987). Our Common Future. World Commission on Environment and Development. World Economic Forum (WEF). (2021). Net-Zero Challenge: The supply chain opportunity. World Economic Forum. World Economic Forum (WEF). (2021). The Global Risks Report 2021. World Economic Forum. Wu, F., Fan, L. W., Zhou, P., & Zhou, D. Q. (2012). Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis. Energy Policy, 49, 164-172. doi: 10.1016/j.enpol.2012.05.035 Xie, X., & Li, K. (2021). Measuring total-factor energy environment efficiency, energy-saving and carbon emission-reduction potential in China's food industry: Based on a meta-frontier slacks-based measure model. Food and Energy Security, 11, e324. doi: 10.1002/fes3.324 Yang, W., & Li, L. (2017). Analysis of total factor efficiency of water resource and energy in China: A study based on DEA-SBM model. Sustainability, 9, 1316. doi: 10.3390/su9081316 Zhang, N., Zhou, P., & Kung, C. C. (2015). Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis. Renewable and Sustainable Energy Reviews, 41, 584-593. doi: 10.1016/j.rser.2014.08.076 Zhou, P., Ang, B. W., & Han, J. Y. (2010). Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32, 194-201. doi: 10.1016/j.eneco.2009.10.003 | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88462 | - |
dc.description.abstract | 快速的經濟發展能夠改善人類的物質福祉,卻伴隨過度耗用能資源、氣候變遷加劇、極端天氣頻繁、自然環境破壞等環境成本,為此,永續發展是全球需共同努力的目標。本研究以2016年至2021年臺灣食品加工業為樣本,利用資料包絡分析法(data envelopment analysis, DEA)計算食品加工業的總要素能源效率(total-factor energy efficiency, TFEE)及總要素用水效率(total-factor water efficiency, TFWE),並透過拔靴法(bootstrap)估計誤差修正的食品加工業效率值及能源與用水的減量潛力,給予企業進行永續轉型的改善方向,協助食品加工業在顧及食品安全和減少能資源使用之間取得平衡。
研究結果指出,本研究的28家臺灣食品加工業技術效率值皆小於1,平均值為0.4865,所有企業效率皆有進步與改善的空間,本研究提供了企業減量潛力數據參考。企業應注重於精進次級加工的效率,並逐漸將上下游供應鏈的衝擊納入自身生產鏈做考量。針對能源效率的提升,企業應該利用熱回收的機會,進一步回收利用釋放的熱能,或者努力提升次級加工設備的節電功能,同時確認是否已配合政府進行鍋爐汰換。針對用水效率的提升,企業應先減少用水量、再來回收乾淨水,最後才應用廢水處理技術,以實現真正的用水效率提升。此外,將減少溫室氣體排放、減少能資源使用的目標納入企業營運策略,才能真正地進行永續轉型,並提升企業面臨風險時的適應能力以減少氣候變遷的衝擊,使之能應對政策與大環境的變化。 本研究建議未來研究能夠取得經拔靴誤差修正後的TFEE與TFWE指標,並且可細分能源消耗中的再生能源與非再生能源,讓研究更完善。此外,也呼籲社會與政府給予食品加工業節能節水更多關注,且政府除了鍋爐補助方案,可思考是否使用其他經濟激勵措施給予協助,或思考如何擴大食品加工業再生能源使用佔比。並建議食品加工業未來也須進行上下游的溫室氣體盤查,有助於帶動整體糧食體系的減碳。 | zh_TW |
dc.description.abstract | Rapid economic development could improve human well-being; however, it is accompanied by environmental costs such as excessive consumption of resources, rapidly worsening climate change, frequent extreme weather, and damage to the natural environment. For this reason, sustainable development is a goal that the world needs to work together.
This study applies data envelopment analysis (DEA) to calculate the total factor energy efficiency (TFEE) and total factor water efficiency (TFEE) of 28 food industries in Taiwan from 2016 to 2021, and applies bootstrap method to estimate bias-corrected efficiency value and the reduction potential of energy and water use. Aims to give companies the direction of improvement for sustainable transformation, and assist food industries to strike a balance between food safety and resource reduction. This study found that technical efficiencies of 28 food industries are all less than 1, and the average value is 0.4865, such that all companies need to improve their efficiency. This study provides data on the reduction potential of companies for reference. Food industries should focus on promoting secondary processing efficiency, and gradually incorporate the impact of upstream and downstream supply chains into their own production chains for consideration. To improve energy efficiency, food industries should take advantage of opportunities for heat recovery and further utilize the released heat energy. They can also strive to enhance the energy-saving capabilities of secondary processing equipment and ensure compliance with government initiatives for boiler replacement. Regarding water efficiency improvement, food industries should first focus on reducing water consumption, followed by recycling clean water, and finally implementing wastewater treatment technologies to achieve genuine water efficiency enhancements. Furthermore, integrating goals of reducing greenhouse gas emissions and minimizing resource consumption into the company's operational strategies is essential for genuine sustainable transformation. This approach will enhance the adaptability against the impacts of climate change and enable them to face the policy and environmental changes. This study suggests that future research should obtain the bootstrapped bias-corrected TFEE and TFWE indicators, and further differentiate between renewable and non-renewable energy sources within energy consumption, this will contribute to a more comprehensive investigation. Furthermore, it is urged that society and the government pay increased attention to energy and water conservation in the food industry. In addition to the oil-boiler replacement subsidy regulations, the government could consider exploring other economic incentives to provide assistance or contemplate strategies for expanding the proportion of renewable energy utilization in the food processing sector. Moreover, it is recommended that the food industry conducts greenhouse gas inventories throughout the upstream and downstream supply chains, which will contribute to the overall decarbonization of the food system. | en |
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dc.description.provenance | Made available in DSpace on 2023-08-15T16:24:57Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 第一章、緒論------------------------------------------------------------------------1
第一節、研究背景與動機-----------------------------------------------1 第二節、研究目的--------------------------------------------------------7 第二章、文獻探討------------------------------------------------------------------8 第一節、全球永續發展歷程與能源效率及用水效率-------------8 2.1.1全球環境保護與永續發展歷程-----------------------8 2.1.2提升能源效率來減緩氣候變遷----------------------10 2.1.3永續發展與用水效率----------------------------------11 第二節、生態效率、DEA與總要素效率模型---------------------12 2.2.1生態效率-------------------------------------------------13 2.2.2資料包絡分析法與總要素能源效率----------------14 2.2.3資料包絡分析法與總要素用水效率----------------16 第三節、糧食系統的永續轉型趨勢---------------------------------19 2.3.1農業與永續發展----------------------------------------19 2.3.2全球與臺灣食品加工業之產業發展趨勢----------21 2.3.3臺灣食品安全相關政策-------------------------------22 2.3.4食品加工業是維持永續發展的重要角色----------23 第四節、食品加工業的資源效率------------------------------------25 2.4.1食品加工業與能源效率-------------------------------25 2.4.2食品加工業與用水效率-------------------------------27 第五節、食品加工業的分群------------------------------------------30 2.5.1適合臺灣食品加工業的分群比較-------------------30 第三章、研究方法-----------------------------------------------------------------32 第一節、研究流程-------------------------------------------------------32 3.1.1研究流程-------------------------------------------------32 第二節、研究方法------------------------------------------------------33 3.2.1資料包絡分析法模型之應用-------------------------33 3.2.2總要素能源效率指標之應用-------------------------34 3.2.3總要素用水效率指標之應用-------------------------35 3.2.4拔靴法應用之程序-------------------------------------36 第三節、研究樣本-------------------------------------------------------38 3.3.1研究資料-------------------------------------------------38 第四章、研究結果-----------------------------------------------------------------42 第一節、樣本敘述性統計----------------------------------------------42 4.1.1變項敘述性統計----------------------------------------42 4.1.2檢測投入與產出變項的同向性(isotonicity)---43 第二節、食品加工業原始技術效率與資源效率------------------44 4.2.1規模報酬模式(Returns to scale)檢定-------------44 4.2.2非意欲產出的處理-------------------------------------44 4.2.3食品加工業的原始技術效率值----------------------45 4.2.4食品加工業的能源效率與用水效率趨勢分析----47 第三節、Bootstrap DEA模型誤差修正結果-----------------------58 4.3.1修正前後技術效率值之變化-------------------------58 4.3.2誤差修正技術效率值的年份走勢-------------------60 4.3.3食品加工業的節能與節水潛力----------------------63 第四節、分群分析------------------------------------------------------66 4.4.1效率值及業務與生產鏈的關係----------------------68 4.4.2整合加工效率優於專業加工的可能因子----------72 第五章、結論與建議--------------------------------------------------------------77 第一節、結論與討論---------------------------------------------------77 第二節、研究限制與未來研究建議---------------------------------82 參考文獻----------------------------------------------------------------------------84 | - |
dc.language.iso | zh_TW | - |
dc.title | 臺灣食品加工業的能源效率與用水效率之研究 | zh_TW |
dc.title | A Study of Energy Efficiency and Water Efficiency in Taiwan’s Food Industry | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 胡均立;黃昱凱 | zh_TW |
dc.contributor.oralexamcommittee | Jin-Li Hu;Yu-Kai Huang | en |
dc.subject.keyword | 資料包絡分析法,拔靴法,食品加工業,能源效率,用水效率, | zh_TW |
dc.subject.keyword | data envelopment analysis (DEA),bootstrap method,food industry,energy efficiency,water efficiency, | en |
dc.relation.page | 90 | - |
dc.identifier.doi | 10.6342/NTU202301713 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2023-07-25 | - |
dc.contributor.author-college | 生物資源暨農學院 | - |
dc.contributor.author-dept | 生物產業傳播暨發展學系 | - |
顯示於系所單位: | 生物產業傳播暨發展學系 |
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ntu-111-2.pdf 此日期後於網路公開 2028-07-18 | 1.9 MB | Adobe PDF |
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