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研究生:尤麒
研究生(外文):YU, CHI
論文名稱:以資料包絡分析技術為基礎之整合式全球能源安全績效評估模式
論文名稱(外文):Evaluating Global Energy Security Performance with an Integrating Model Based on Data Envelopment Analysis
指導教授:吳泰熙吳泰熙引用關係
指導教授(外文):Wu, TAI-HSI
口試委員:吳泰熙林美珍蘇國瑋
口試委員(外文):Wu, TAI-HSILIN, MEI-CHENSU, KUO-WEI
口試日期:2022-05-20
學位類別:碩士
校院名稱:國立臺北大學
系所名稱:企業管理學系
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2022
畢業學年度:110
語文別:中文
論文頁數:109
中文關鍵詞:全球能源安全績效資料包絡分析保證區間技術麥氏生產力指數拔靴法
外文關鍵詞:ESPDEAARMPIBootstrap
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近年來,能源安全績效評估已成為新興的研究議題。然而不同研究對能源安全的定義,指標的分配與績效計算的方式皆有所不同。本研究分為兩階段,第一階段延續Wu, Chung, & Huang (2021) 的能源安全定義,研究年度與能源安全指標,使用4As、過去能源效率與政府治理六構面衡量全球125國能源安全績效。然而本研究將研究方法從原有之主成分分析與資料包絡分析-保證區間技術 (PCA/DEA-AR) 改良為主成分分析與資料包絡分析-麥氏生產力指數-保證區間技術 (PCA/DEA-MPI-AR)。此舉不僅保留Wu et al. (2021) 在績效分數上的鑑別度,更修正該研究沒有使用衡量跨時間維度工具的潛在問題。研究結果顯示亞塞拜然 (AZE) 之跨期能源安全績效表現最佳;最終再將研究結果進行分群,觀察不同國家由1997至2017年能源績效之變化情形。

第二階段使用之研究方法與第一階段相同,不同之處在於更換構面與遺漏值過多之指標,研究範圍從全球125國聚焦至經濟合作暨發展組織 (OECD) 32國,研究時間為2000年至2018年。並於進行PCA/DEA-AR後使用拔靴法 (bootstrap) 檢驗整體受評單位之信賴區間,以更客觀地推估進退步情形。研究結果顯示丹麥 (DNK)、英國 (GBR)、紐西蘭 (NZL) 與瑞典 (SWE) 為OECD國家中能源安全績效穩定進步之國家。而透過拔靴法可推論該組織整體之變化趨勢。

本研究之研究結果除可做為決策者參考依據外,研究方法中將麥氏生產力指數 (malmquist productivity index) 與保證區間技術 (assurance region) 結合為本研究首創,可提供未來研究者有效衡量跨期績效之工具。

Energy security performance (ESP) has become a popular research topic recently. While the definition of energy security, the selection of each indicator, and the calculating methods vary with different researches. Our paper was separated into two stages. The beginning stage followed the evaluating structure of 4As, energy efficiency, and governance provided by Wu et al. (2021). Yet we changed the accessing method from principle component analysis/data envelopment analysis-assurance region (PCA/DEA-AR) to principle component analysis/data envelopment analysis-malmquist productivity index-assurance region (PCA/DEA-MPI-AR). The modified tool not only could keep the characteristics given by AR, but also avoid ignoring temporal effect thanks to MPI. Empirical results indicated that Azerbaijan (AZE) was the most progressive country from the year 1997 to 2017. A cluster analysis was also performed.

The second stage remained the same research method while substituting the integrated indicators for those with excessive missing values. This part also changed the range from 125 countries to 32 countries.in OECD. We furthermore demonstrated the bootstrap method after analyzing ESP by PCA/DEA-MPI-AR. The final result showed that Demank (DNK), Great Britian (GBR), New Zeland (NZL), and Sweden (SWE) were the stable progressive countries in terms of ESP from the year 2000 to 2018. And the bootstrap outcome ensures the trends for the whole OECD countries.

Besides the value of empirical results for policymakers. Our research originally developed the evaluating method- MPI-AR, which will be helpful for future researchers.

謝 詞 I
國立臺北大學110學年度第2學期碩士學位論文提要 II
ABSTRACT III
目 錄 IV
圖 次 VI
表 次 VIII
第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第三節 研究目的 4
第四節 研究流程 5
第二章 文獻探討 9
第一節 能源安全績效評估構面 9
第二節 資料包絡分析與保證區間技術 10
第三節 主成分分析 12
第四節 麥氏生產力指數與拔靴法 12
第三章 研究方法 15
第一節 能源安全績效評估架構 15
第二節 主成分分析法 24
第三節 整合式分析模式 25
第四節 拔靴法 34
第五節 研究方法步驟圖與研究工具 35
第四章 研究結果 37
第一節 強化過去研究階段 37
第二節 建立新研究範圍階段 53
第五章 結論與建議 69
第一節 研究結論 69
第二節 研究貢獻 71
第三節 後續研究與建議 71
參考文獻 73
附錄 79
著作權聲明 109

Afsharian, M., Ahn, H., & Harms, S. G. (2021). A review of DEA approaches applying a common set of weights: The perspective of centralized management.
European Journal of Operational Research, 294(1), 3-15.
doi:https://doi.org/10.1016/j.ejor.2021.01.001

Ang, B. W., Choong, W. L., & Ng, T. S. (2015a). Energy security: Definitions, dimensions and indexes. Renewable and Sustainable Energy Reviews, 42, 1077-1093.
doi:https://doi.org/10.1016/j.rser.2014.10.064

Ang, B. W., Choong, W. L., & Ng, T. S. (2015b). A framework for evaluating Singapore’s energy security. Applied Energy, 148, 314-325. doi:https://doi.org/10.1016/j.apenergy.2015.03.088

Azzuni, A., & Breyer, C. (2018). Definitions and dimensions of energy security: a literature review. Wiley Interdisciplinary Reviews: Energy and Environment, 7(1), e268.

Bielecki, J. (2002). Energy security: is the wolf at the door? The Quarterly Review of Economics and Finance, 42(2), 235-250.
doi:https://doi.org/10.1016/S1062-9769(02)00137-0

Brown, M. A., Wang, Y., Sovacool, B. K., & D’Agostino, A. L. (2014). Forty years of energy security trends: A comparative assessment of 22 industrialized countries. Energy Research & Social Science, 4, 64-77. doi:https://doi.org/10.1016/j.erss.2014.08.008

Cherp, A., Jewell, J., & Goldthau, A. (2011). Governing global energy: systems, transitions, complexity. Global Policy, 2(1), 75-88.

Colglazier Jr, E. W., & Deese, D. A. (1983). Energy and security in the 1980s. Annual review of energy, 8(1), 415-449.

Commission, J. R. C.-E. (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide: OECD publishing.

Cook, W. D., & Zhu, J. (2008). Data Envelopment Analysis: Modeling Operational Processes and Measuring Productivity: CreateSpace USA.

Csereklyei, Z., & Stern, D. I. (2015). Global energy use: Decoupling or convergence? Energy Economics, 51, 633-641.

Efron, B. (1979). Computers and the theory of statistics: thinking the unthinkable. SIAM Review, 21(4), 460-480.

EIA. (2017). International Energy Outlook 2017 Overview (IEO2017). In.

Emrouznejad, A., & Thanassoulis, E. (2010). Measurement of productivity index with dynamic DEA. International Journal of Operational Research, 8(2), 247-260.

Erahman, Q. F., Purwanto, W. W., Sudibandriyo, M., & Hidayatno, A. (2016). An assessment of Indonesia's energy security index and comparison with seventy countries. Energy, 111, 364-376.
doi:https://doi.org/10.1016/j.energy.2016.05.100

Falavigna, G., Ippoliti, R., & Ramello, G. B. (2018). DEA-based Malmquist productivity indexes for understanding courts reform. Socio-Economic Planning Sciences, 62, 31-43.
doi:https://doi.org/10.1016/j.seps.2017.07.001

Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.

Färe, R., Grosskopf, S., Lindgren, B., & Roos, P. (1992). Productivity changes in Swedish pharamacies 1980–1989: A non-parametric Malmquist approach. Journal of Productivity Analysis, 3(1), 85-101.

Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. The American Economic Review, 66-83.

Gasser, P. (2020). A review on energy security indices to compare country performances. Energy Policy, 139, 111339.
doi:https://doi.org/10.1016/j.enpol.2020.111339

Ghaemi, M., Astaraei, A. R., Emami, H., Nassiri Mahalati, M., & Sanaeinejad, S. H. (2014). Determining soil indicators for soil sustainability assessment using principal component analysis of Astan Quds-east of Mashhad-Iran. Journal of Soil Science and Plant Nutrition, 14(4), 1005-1020.

Goldthau, A. (2011). Governing global energy: existing approaches and discourses. Current Opinion in Environmental Sustainability, 3(4), 213-217.

Grubb, M., Butler, L., & Twomey, P. (2006). Diversity and security in UK electricity generation: The influence of low-carbon objectives. Energy Policy, 34(18), 4050-4062.
doi:https://doi.org/10.1016/j.enpol.2005.09.004

Hesterberg, T. (2011). Bootstrap. Wiley Interdisciplinary Reviews: Computational Statistics, 3(6), 497-526.

Horowitz, J. L. (2001). Chapter 52 - The Bootstrap. In J. J. Heckman & E. Leamer (Eds.), Handbook of Econometrics (Vol. 5, pp. 3159-3228): Elsevier.

Huang, B., Zhang, L., Ma, L., Bai, W., & Ren, J. (2021). Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index. Energy, 228, 120481.

Hughes, L., & Lipscy, P. Y. (2013). The politics of energy. Annual Review of Political Science, 16, 449-469.

Kern, F., & Rogge, K. S. (2016). The pace of governed energy transitions: Agency, international dynamics and the global Paris agreement accelerating decarbonisation processes? Energy Research & Social Science, 22, 13-17.

Kruyt, B., Van Vuuren, D. P., de Vries, H. J., & Groenenberg, H. (2009). Indicators for energy security. Energy Policy, 37(6), 2166-2181.

Lansink, A. O., & Reinhard, S. (2004). Investigating technical efficiency and potential technological change in Dutch pig farming. Agricultural Systems, 79(3), 353-367.
doi:https://doi.org/10.1016/S0308-521X(03)00091-X

Li, X., & Wang, Q. (2012). The weighted least square based estimators with censoring indicators missing at random. Journal of Statistical Planning and Inference, 142(11), 2913-2925.
doi:https://doi.org/10.1016/j.jspi.2012.04.016

Li, Y., Shi, X., & Yao, L. (2016). Evaluating energy security of resource-poor economies: A modified principle component analysis approach. Energy Economics, 58, 211-221.
doi:https://doi.org/10.1016/j.eneco.2016.07.001

Liu, S.-T., & Chuang, M. (2009). Fuzzy efficiency measures in fuzzy DEA/AR with application to university libraries. Expert Systems with Applications, 36(2), 1105-1113.

Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298-1322.
doi:https://doi.org/10.1016/j.rser.2016.12.030

Mo, X., Liu, S., Lin, Z., Xu, Y., Xiang, Y., & McVicar, T. R. (2005). Prediction of crop yield, water consumption and water use efficiency with a SVAT-crop growth model using remotely sensed data on the North China Plain. Ecological Modelling, 183(2), 301-322.
doi:https://doi.org/10.1016/j.ecolmodel.2004.07.032

Odeck, J. (2006). Identifying traffic safety best practice: an application of DEA and Malmquist indices. Omega, 34(1), 28-40.

Omrani, H., Valipour, M., & Jafari Mamakani, S. (2019). Construct a composite indicator based on integrating Common Weight Data Envelopment Analysis and principal component analysis models: An application for finding development degree of provinces in Iran. Socio-Economic Planning Sciences, 68, 100618.
doi:https://doi.org/10.1016/j.seps.2018.02.005

Phdungsilp, A. (2015). Assessing Energy Security Performance in Thailand under Different Scenarios and Policy Implications. Energy Procedia, 79, 982-987.
doi:https://doi.org/10.1016/j.egypro.2015.11.597

Ren, J., & Sovacool, B. K. (2014). Quantifying, measuring, and strategizing energy security: Determining the most meaningful dimensions and metrics. Energy, 76, 838-849.
doi:https://doi.org/10.1016/j.energy.2014.08.083

Rutherford, J. P., Scharpf, E. W., & Carrington, C. G. (2007). Linking consumer energy efficiency with security of supply. Energy Policy, 35(5), 3025-3035.
doi:https://doi.org/10.1016/j.enpol.2006.10.031

Sharifuddin, S. (2014). Methodology for quantitatively assessing the energy security of Malaysia and other southeast Asian countries. Energy Policy, 65, 574-582.
doi:https://doi.org/10.1016/j.enpol.2013.09.065

Shin, J., Shin, W.-S., & Lee, C. (2013). An energy security management model using quality function deployment and system dynamics. Energy Policy, 54, 72-86.
doi:https://doi.org/10.1016/j.enpol.2012.10.074

Simar, L., & Wilson, P. W. (1998). Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44(1), 49-61.

Song, M.-L., Zhang, L.-L., Liu, W., & Fisher, R. (2013). Bootstrap-DEA analysis of BRICS’energy efficiency based on small sample data. Applied Energy, 112, 1049-1055.

Sovacool, B. K. (2013). Assessing energy security performance in the Asia Pacific, 1990–2010. Renewable and Sustainable Energy Reviews, 17, 228-247.

Sovacool, B. K., & Brown, M. A. (2010). Competing dimensions of energy security: an international perspective. Annual Review of Environment and Resources, 35, 77-108.

Sovacool, B. K., Mukherjee, I., Drupady, I. M., & D’Agostino, A. L. (2011). Evaluating energy security performance from 1990 to 2010 for eighteen countries. Energy, 36(10), 5846-5853.
doi:https://doi.org/10.1016/j.energy.2011.08.040

Sun, H., Ikram, M., Mohsin, M., & Abbas, Q. (2021). Energy security and environmental efficiency: evidence from OECD countries. The Singapore Economic Review, 66(02), 489-506.

Thompson, R. G., Lee, E., & Thrall, R. M. (1992). DEA/AR-efficiency of U.S. independent oil/gas producers over time. Computers & Operations Research, 19(5), 377-391.
doi:https://doi.org/10.1016/0305-0548(92)90068-G

Thompson, R. G., Singleton Jr, F., Thrall, R. M., & Smith, B. A. (1986). Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces, 16(6), 35-49.

Tomashevskii, I. L. (2015). Eigenvector ranking method as a measuring tool: Formulas for errors. European Journal of Operational Research, 240(3), 774-780.
doi:https://doi.org/10.1016/j.ejor.2014.07.050

Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498-509.

Tongsopit, S., Kittner, N., Chang, Y., Aksornkij, A., & Wangjiraniran, W. (2016). Energy security in ASEAN: A quantitative approach for sustainable energy policy. Energy Policy, 90, 60-72.
doi:https://doi.org/10.1016/j.enpol.2015.11.019

Tran, T. V., Schnitzer, H., Braunegg, G., & Le, H. T. (2017). Development of an optimization mathematical model by applying an integrated environmental indicator for selecting alternatives in cleaner production programs. Journal of Cleaner Production, 154, 295-308.
doi:https://doi.org/10.1016/j.jclepro.2017.04.009

UNCTAD. (2015). Key Statistics and Trends in International Trade 2019.

Wang, Q., & Zhou, K. (2017). A framework for evaluating global national energy security. Applied Energy, 188, 19-31.

Wei, Y.-M., Liao, H., & Fan, Y. (2007). An empirical analysis of energy efficiency in China's iron and steel sector. Energy, 32(12), 2262-2270. doi:https://doi.org/10.1016/j.energy.2007.07.007

Wilson, I. B., & Cleary, P. D. (1995). Linking clinical variables with health-related quality of life: a conceptual model of patient outcomes. Jama, 273(1), 59-65.

Wright, P. (2005). Liberalisation and the security of gas supply in the UK. Energy Policy, 33(17), 2272-2290.
doi:https://doi.org/10.1016/j.enpol.2004.04.022

Wu, G., Liu, L.-C., Han, Z.-Y., & Wei, Y.-M. (2012). Climate protection and China’s energy security: Win–win or tradeoff. Applied Energy, 97, 157-163.
doi:https://doi.org/10.1016/j.apenergy.2011.11.061

Wu, T.-H., Chung, Y.-F., & Huang, S.-W. (2021). Evaluating global energy security performances using an integrated PCA/DEA-AR technique. Sustainable Energy Technologies and Assessments, 45, 101041.
doi:https://doi.org/10.1016/j.seta.2021.101041

Yergin, D. (2006). Ensuring energy security. Foreign Affairs, 69-82.

Zeng, S., Streimikiene, D., & Baležentis, T. (2017). Review of and comparative assessment of energy security in Baltic States.
Renewable and Sustainable Energy Reviews, 76, 185-192.
doi:https://doi.org/10.1016/j.rser.2017.03.037

Zhang, H., Cheng, S., Li, H., Fu, K., & Xu, Y. (2020). Groundwater pollution source identification and apportionment using PMF and PCA-APCA-MLR receptor models in a typical mixed land-use area in Southwestern China. Science of The Total Environment, 741, 140383.
doi:https://doi.org/10.1016/j.scitotenv.2020.140383

Zhang, L., Yu, J., Sovacool, B. K., & Ren, J. (2017). Measuring energy security performance within China: Toward an inter-provincial prospective. Energy, 125, 825-836.
doi:https://doi.org/10.1016/j.energy.2016.12.030

Zhao, J., Ji, G., Tian, Y., Chen, Y., & Wang, Z. (2018). Environmental vulnerability assessment for mainland China based on entropy method. Ecological Indicators, 91, 410-422.
doi:https://doi.org/10.1016/j.ecolind.2018.04.016

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630.


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