簡易檢索 / 詳目顯示

研究生: Pham Thu Uyen
Pham Thu Uyen
論文名稱: 以資料包絡分析法與麥氏生產力指數探討台灣不同製造業的碳排放效率
Examining Emission Efficiency across Taiwanese Manufacturing Sectors through DEA Approach and Malmquist Productivity Index
指導教授: 周碩彥
Shuo-Yan Chou
郭伯勳
Po-Hsun Kuo
口試委員: 周碩彥
Shuo-Yan Chou
郭伯勳
Po-Hsun Kuo
郭財吉
Tsai-Chi Kuo
學位類別: 碩士
Master
系所名稱: 管理學院 - 工業管理系
Department of Industrial Management
論文出版年: 2023
畢業學年度: 111
語文別: 英文
論文頁數: 64
外文關鍵詞: Emission Efficiency
相關次數: 點閱:128下載:2
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

  • Using the Data Envelopment Analysis (DEA) technique and the Malmquist Productivity Index, this article studies emission efficiency across Taiwan's manufacturing sectors. Understanding emission efficiency within industrial sectors is critical for directing effective policymaking and fostering sustainable development in light of growing concerns about environmental sustainability and the need to reduce greenhouse gas emissions. The study makes use of a dataset from 20 manufacturing subsectors in Taiwan during the period 1998-2020. DEA is used to assess the emission efficiency of these decision-making units and compare their performance to peers. Furthermore, the Malmquist Productivity Index is used to examine efficiency changes over time, offering insights into the progress and technical breakthroughs achieved in emission reduction initiatives. The research contributes to the limited body of literature focused on emission efficiency analysis in Taiwan. These findings reveal considerable differences in emission efficiency across Taiwan's various manufacturing sectors. Some industries have superior emission efficiency, while others have space for development. Finally, this study adds to a better knowledge of emission efficiency in Taiwan's manufacturing sectors and lays the groundwork for evidence-based policies.

    ABSTRACT ii TABLE OF CONTENT iii LIST OF FIGURES iv LIST OF TABLES v CHAPTER 1 INTRODUCTION 1 1.1 Background and Motivation 1 1.2 Objective 5 1.3 Scope and Limitation 5 1.4 Organization of Thesis 5 CHAPTER 2 LITERATURE REVIEW 6 2.1 Greenhouse gases mitigation policies 6 2.1.1 International greenhouse gases mitigation policies 6 2.1.2 Greenhouse gases mitigation policies in Taiwan 8 2.2 Efficiency measurement 12 2.2.1 Efficiency measurement using Data Envelopment Analysis (DEA) 12 2.2.2 Emission efficiency using Data Envelopment Analysis (DEA) 14 2.2.3 Malmquist Productivity Index: 15 CHAPTER 3 METHODOLOGY 18 3.1 Data Envelopment Analysis (DEA) 19 3.1 Malmquist Productivity Index (MPI) 24 CHAPTER 4 RESULTS AND DISCUSSIONS 27 4.1 Data preparation 27 4.2 Results 30 4.2.1 Output-oriented Constant Return to Scale model (CRS-DEA) 30 4.1.2 Malmquist Productivity Index (MPI) 35 4.3 Discussion 37 4.4 Policy implications 39 CHAPTER 5 CONCLUSION 41 5.1 Conclusion 41 5.2 Future work 42 REFERENCES 43 APPENDIX 52

    [1] "Structure of Domestic Production," ed. Taiwan: Deparment of Statistics, 2023.
    [2] "State of the Global Climate 2022," ed. Switzerland: World Meteorological Organization, 2023.
    [3] "Energy Statistics Handbook 2022," M. o. E. A. Bureau of Energy, Ed., ed. Taipei, Taiwan: Bureau of Energy, Ministry of Economic Affairs, 2023.
    [4] IPCC, "Climate Change 2023: Synthesis Report," ed. Geneva, Switzerland: IPCC, 2023.
    [5] "Kyoto Protocol to the United Nations Framework Convention on Climate Change," ed. Geneva :: UN, 1997.
    [6] "Paris agreement =Accord de Paris = Парижское соглашение = Acuerdo de Paris," ed. [New York] :: UN, 2015.
    [7] (2021). The United States of America Nationally Determined Contribution - Reducing Greenhouse Gases in the United States: A 2030 Emissions Target. [Online] Available: https://unfccc.int/sites/default/files/NDC/2022-06/United%20States%20NDC%20April%2021%202021%20Final.pdf
    [8] "China's “1+N” Policy Framework," ed. Washington DC: Embassy of the People's Republic of China in the United States of America, 2021.
    [9] "China’s Mid-Century Long-Term Low Greenhouse Gas Emission Development Strategy," ed. New York: UNFCCC, 2021.
    [10] "The Long-Term Strategy of the United States: Pathways to Net-Zero Greenhouse Gas Emissions by 2050," ed. Washington DC: Executive Office of the President, 2021.
    [11] "The State of Climate Ambition :Nationally Determined Contributions (NDC) Global Outlook Report 2021," ed. New York :: UNDP, 2021.
    [12] A. Guterres, "Secretary-General Calls on Governments, Financial Institutions, Market Leaders to Make Net-Zero Carbon Goal ‘Permanent and Transformative’," ed, 2020.
    [13] (2022). Taiwan's Pathway to Net-Zero Emissions in 2050. [Online] Available: https://www.ndc.gov.tw/en/Content_List.aspx?n=B154724D802DC488
    [14] Climate Change Response Act, E. P. Administration 11200010681, 2023.
    [15] L. Ding, Y. Yang, W. Wang, and A. C. Calin, "Regional carbon emission efficiency and its dynamic evolution in China: A novel cross efficiency-malmquist productivity index," Journal of Cleaner Production, vol. 241, p. 118260, 2019/12/20/ 2019, doi: https://doi.org/10.1016/j.jclepro.2019.118260.
    [16] Y.-y. Lu, Y. He, B. Wang, S.-s. Ye, Y. Hua, and L. Ding, "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, vol. 11, no. 17, doi: 10.3390/su11174544.
    [17] N. Zhang, P. Zhou, and C.-C. Kung, "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, vol. 41, pp. 584-593, 2015/01/01/ 2015, doi: https://doi.org/10.1016/j.rser.2014.08.076.
    [18] P. Zhao et al., "China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model," Energy, vol. 238, p. 121934, 2022/01/01/ 2022, doi: https://doi.org/10.1016/j.energy.2021.121934.
    [19] F. Meng, B. Su, E. Thomson, D. Zhou, and P. Zhou, "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, vol. 183, pp. 1-21, 2016/12/01/ 2016, doi: https://doi.org/10.1016/j.apenergy.2016.08.158.
    [20] Y. Iftikhar, Z. Wang, B. Zhang, and B. Wang, "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, vol. 147, pp. 197-207, 2018/03/15/ 2018, doi: https://doi.org/10.1016/j.energy.2018.01.012.
    [21] K. Pérez, M. C. González-Araya, and A. Iriarte, "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, vol. 66, pp. 290-302, 2017/08/01/ 2017, doi: https://doi.org/10.1016/j.eneco.2017.05.022.
    [22] M. A. Tachega, X. Yao, Y. Liu, D. Ahmed, H. Li, and C. Mintah, "Energy efficiency evaluation of oil producing economies in Africa: DEA, malmquist and multiple regression approaches," Cleaner Environmental Systems, vol. 2, p. 100025, 2021/06/01/ 2021, doi: https://doi.org/10.1016/j.cesys.2021.100025.
    [23] J.-L. Hu, M.-C. Lio, F.-Y. Yeh, and C.-H. Lin, "Environment-adjusted regional energy efficiency in Taiwan," Applied Energy, vol. 88, no. 8, pp. 2893-2899, 2011/08/01/ 2011, doi: https://doi.org/10.1016/j.apenergy.2011.01.068.
    [24] J. L. Hu, M. C. Lio, C. H. Kao, and Y. L. Lin, "Total-factor Energy Efficiency for Regions in Taiwan," Energy Sources, Part B: Economics, Planning, and Policy, vol. 7, no. 3, pp. 292-300, 2012/01/01 2012, doi: 10.1080/15567240903096902.
    [25] J.-L. Hu, M.-C. Chang, and H.-W. Tsay, "The congestion total-factor energy efficiency of regions in Taiwan," Energy Policy, vol. 110, pp. 710-718, 2017/11/01/ 2017, doi: https://doi.org/10.1016/j.enpol.2017.09.002.
    [26] M.-R. Yan and K.-M. Chien, "Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan," Energies, vol. 6, no. 2, pp. 973-987doi: 10.3390/en6020973.
    [27] D. Y.-L. Chan, C.-F. Huang, W.-C. Lin, and G.-B. Hong, "Energy efficiency benchmarking of energy-intensive industries in Taiwan," Energy Conversion and Management, vol. 77, pp. 216-220, 2014/01/01/ 2014, doi: https://doi.org/10.1016/j.enconman.2013.09.027.
    [28] Infrastructure Investment and Jobs Act, Pub. L. No. 117-58, 2021.
    [29] C. o. t. EU. "'Fit for 55': Council adopts key pieces of legislation delivering on 2030 climate targets." https://www.consilium.europa.eu/en/press/press-releases/2023/04/25/fit-for-55-council-adopts-key-pieces-of-legislation-delivering-on-2030-climate-targets/?utm_source=dsms-auto&utm_medium=email&utm_campaign=%27Fit%20for%2055%27%3A%20Council%20adopts%20key%20pieces%20of%20legislation%20delivering%20on%202030%20climate%20targets#:~:text=Presented%20by%20the%20European%20Commission,achieve%20climate%20neutrality%20in%202050. (accessed 24/07/2023.
    [30] G. o. Canada. "2030 Emissions Reduction Plan: Clean Air, Strong Economy." https://www.canada.ca/en/services/environment/weather/climatechange/climate-plan/climate-plan-overview/emissions-reduction-2030.html (accessed 15/06/2023.
    [31] U. J. Gregor Erbach, "China's climate change policies - State of play ahead of COP27," ed: European Union, 2022.
    [32] "India stands committed to reduce Emissions Intensity of its GDP by 45 percent by 2030, from 2005 level," ed: Ministry of Environment, Forest and Climate Change, 2022.
    [33] "The Production Gap: Governments’ planned fossil fuel production remains dangerously out of sync with Paris Agreement limits," Stockholm Environment Institute, 2021. [Online]. Available: https://productiongap.org/wp-content/uploads/2021/11/PGR2021_web_rev.pdf
    [34] "National Climate Change Action Guideline." Environmental Protection Administration. National Climate Change Action Guideline (accessed 14/06/2023.
    [35] "National Greenhouse Gas Reduction Action Plan." Environmental Protection Administration. https://www.epa.gov.tw/eng/E171CBF2A911B4EB (accessed 14/06/2023.
    [36] Climate Change Response Act, No. 11200010681, 2023.
    [37] A. Charnes, W. W. Cooper, and E. Rhodes, "Measuring the efficiency of decision making units," European Journal of Operational Research, vol. 2, no. 6, pp. 429-444, 1978/11/01/ 1978, doi: https://doi.org/10.1016/0377-2217(78)90138-8.
    [38] A. S. Camanho, M. C. Silva, F. S. Piran, and D. P. Lacerda, "A literature review of economic efficiency assessments using Data Envelopment Analysis," European Journal of Operational Research, 2023/07/22/ 2023, doi: https://doi.org/10.1016/j.ejor.2023.07.027.
    [39] A. Charnes, W. W. Cooper, and S. Li, "Using data envelopment analysis to evaluate efficiency in the economic performance of Chinese cities," Socio-Economic Planning Sciences, vol. 23, no. 6, pp. 325-344, 1989/01/01/ 1989, doi: https://doi.org/10.1016/0038-0121(89)90001-3.
    [40] Y.-h. Chiu, C.-w. Huang, and C.-M. Ma, "Assessment of China transit and economic efficiencies in a modified value-chains DEA model," European Journal of Operational Research, vol. 209, no. 2, pp. 95-103, 2011.
    [41] M. R. Shahari, K. F. See, N. S. Mohammed, and M.-M. Yu, "Constructing the performance index of Malaysia’s district health centers using effectiveness-based hierarchical data envelopment analysis," Socio-Economic Planning Sciences, p. 101662, 2023/06/19/ 2023, doi: https://doi.org/10.1016/j.seps.2023.101662.
    [42] M. Flegl and E. S. H. Gress, "A two-stage Data Envelopment Analysis model for investigating the efficiency of the public security in Mexico," Decision Analytics Journal, vol. 6, p. 100181, 2023/03/01/ 2023, doi: https://doi.org/10.1016/j.dajour.2023.100181.
    [43] D. C. Ferreira, J. R. Figueira, S. Greco, and R. C. Marques, "Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals," Expert Systems with Applications, vol. 231, p. 120543, 2023/11/30/ 2023, doi: https://doi.org/10.1016/j.eswa.2023.120543.
    [44] Y.-C. Lin and M.-M. Yu, "Performance evaluation of compulsory education system in Taiwan: A modified dynamic network data envelopment analysis approach," Studies in Educational Evaluation, vol. 78, p. 101280, 2023/09/01/ 2023, doi: https://doi.org/10.1016/j.stueduc.2023.101280.
    [45] T. Tomikawa and M. Goto, "Efficiency assessment of Japanese National Railways before and after privatization and divestiture using data envelopment analysis," Transport Policy, vol. 118, pp. 44-55, 2022/03/01/ 2022, doi: https://doi.org/10.1016/j.tranpol.2022.01.012.
    [46] M. Goto, A. Otsuka, and T. Sueyoshi, "DEA (Data Envelopment Analysis) assessment of operational and environmental efficiencies on Japanese regional industries," Energy, vol. 66, pp. 535-549, 2014/03/01/ 2014, doi: https://doi.org/10.1016/j.energy.2013.12.020.
    [47] M. Taleb, "Modelling environmental energy efficiency in the presence of carbon emissions: Modified oriented efficiency measures under polluting technology of data envelopment analysis," Journal of Cleaner Production, vol. 414, p. 137743, 2023/08/15/ 2023, doi: https://doi.org/10.1016/j.jclepro.2023.137743.
    [48] M. Mardani Najafabadi, M. Sabouni, H. Azadi, and M. Taki, "Rice production energy efficiency evaluation in north of Iran; application of Robust Data Envelopment Analysis," Cleaner Engineering and Technology, vol. 6, p. 100356, 2022/02/01/ 2022, doi: https://doi.org/10.1016/j.clet.2021.100356.
    [49] A. Khoshroo, M. Izadikhah, and A. Emrouznejad, "Energy efficiency and congestion considering data envelopment analysis and bounded adjusted measure: A case of tomato production," Journal of Cleaner Production, vol. 328, p. 129639, 2021/12/15/ 2021, doi: https://doi.org/10.1016/j.jclepro.2021.129639.
    [50] J. M. Alshehhi and P. D. Zervopoulos, "The effect of institutional factors on environmental efficiency: A cross-country analysis using a Bayesian data envelopment analysis approach," Journal of Cleaner Production, vol. 395, p. 136401, 2023/04/01/ 2023, doi: https://doi.org/10.1016/j.jclepro.2023.136401.
    [51] S. Huang, "The comprehensive environmental efficiency analysis based on a new data envelopment analysis: The super slack based measure network three-stage data envelopment analysis approach," Journal of Cleaner Production, vol. 400, p. 136689, 2023/05/10/ 2023, doi: https://doi.org/10.1016/j.jclepro.2023.136689.
    [52] H. Blum, "The economic efficiency of energy-consuming equipment: a DEA approach," Energy Efficiency, vol. 8, no. 2, pp. 281-298, 2015.
    [53] A. V. Pyatunin, A. B. Vishnyakova, N. L. Sherstneva, S. P. Mironova, S. A. Dneprov, and Y. P. Grabozdin, "The Economic Efficiency of European Football Clubs--Data Envelopment Analysis (DEA) Approach," International Journal of Environmental and Science Education, vol. 11, no. 15, pp. 7515-7534, 2016.
    [54] S. Hadad, Y. Hadad, M. Malul, and M. Rosenboim, "The economic efficiency of the tourism industry: A global comparison," Tourism economics, vol. 18, no. 5, pp. 931-940, 2012.
    [55] M. Torres-Samuel et al., "Performance of Education and Research in Latin American Countries through Data Envelopment Analysis (DEA)," Procedia Computer Science, vol. 170, pp. 1023-1028, 2020/01/01/ 2020, doi: https://doi.org/10.1016/j.procs.2020.03.079.
    [56] A. Mardani, E. K. Zavadskas, D. Streimikiene, A. Jusoh, and M. Khoshnoudi, "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, vol. 70, pp. 1298-1322, 2017/04/01/ 2017, doi: https://doi.org/10.1016/j.rser.2016.12.030.
    [57] M. C. Gouveia, C. O. Henriques, and L. C. Dias, "Eco-efficiency changes of the electricity and gas sectors across 28 European countries: A value-based data envelopment analysis productivity approach," Socio-Economic Planning Sciences, vol. 87, p. 101609, 2023/06/01/ 2023, doi: https://doi.org/10.1016/j.seps.2023.101609.
    [58] K. i. Matsumoto, G. Makridou, and M. Doumpos, "Evaluating environmental performance using data envelopment analysis: The case of European countries," Journal of Cleaner Production, vol. 272, p. 122637, 2020/11/01/ 2020, doi: https://doi.org/10.1016/j.jclepro.2020.122637.
    [59] C. Woo, Y. Chung, D. Chun, H. Seo, and S. Hong, "The static and dynamic environmental efficiency of renewable energy: A Malmquist index analysis of OECD countries," Renewable and Sustainable Energy Reviews, vol. 47, pp. 367-376, 2015/07/01/ 2015, doi: https://doi.org/10.1016/j.rser.2015.03.070.
    [60] O. Zaim and F. Taskin, "Environmental efficiency in carbon dioxide emissions in the OECD: A non-parametric approach," Journal of Environmental Management, vol. 58, no. 2, pp. 95-107, 2000/02/01/ 2000, doi: https://doi.org/10.1006/jema.1999.0312.
    [61] B. Fathi, M. Ashena, and A. R. Bahari, "Energy, environmental, and economic efficiency in fossil fuel exporting countries: A modified data envelopment analysis approach," Sustainable Production and Consumption, vol. 26, pp. 588-596, 2021/04/01/ 2021, doi: https://doi.org/10.1016/j.spc.2020.12.030.
    [62] X.-D. Guo, L. Zhu, Y. Fan, and B.-C. Xie, "Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA," Energy Policy, vol. 39, no. 5, pp. 2352-2360, 2011/05/01/ 2011, doi: https://doi.org/10.1016/j.enpol.2011.01.055.
    [63] X. Wu, Z. Ji, Y. Gong, Y. Chen, and M. Toloo, "Haze emission efficiency assessment and governance for sustainable development based on an improved network data envelopment analysis method," Journal of Cleaner Production, vol. 317, p. 128424, 2021/10/01/ 2021, doi: https://doi.org/10.1016/j.jclepro.2021.128424.
    [64] M. Liu, C. Zhang, W. Huang, M. Wang, and G. Xiao, "A dynamic network data envelopment analysis cross-efficiency evaluation on the benefits of bus transit services in 33 Chinese cities," Transportation Letters, 2023/06/14/ 2023, doi: https://doi.org/10.1080/19427867.2023.2198109.
    [65] D. Liu, "Convergence of energy carbon emission efficiency: evidence from manufacturing sub-sectors in China," Environmental Science and Pollution Research, vol. 29, no. 21, pp. 31133-31147, 2022/05/01 2022, doi: 10.1007/s11356-022-18503-9.
    [66] X. Jiang, J. Ma, H. Zhu, X. Guo, and Z. Huang, "Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China," International Journal of Environmental Research and Public Health, vol. 17, no. 22, doi: 10.3390/ijerph17228459.
    [67] J. L. Zofı́o and A. M. Prieto, "Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries," Resource and Energy Economics, vol. 23, no. 1, pp. 63-83, 2001/01/01/ 2001, doi: https://doi.org/10.1016/S0928-7655(00)00030-0.
    [68] R. Färe, S. Grosskopf, and F. Hernandez-Sancho, "Environmental performance: an index number approach," Resource and Energy Economics, vol. 26, no. 4, pp. 343-352, 2004/12/01/ 2004, doi: https://doi.org/10.1016/j.reseneeco.2003.10.003.
    [69] P. Zhou, K. L. Poh, and B. W. Ang, "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, vol. 178, no. 1, pp. 1-9, 2007/04/01/ 2007, doi: https://doi.org/10.1016/j.ejor.2006.04.038.
    [70] J. Jin, D. Zhou, and P. Zhou, "Measuring environmental performance with stochastic environmental DEA: The case of APEC economies," Economic Modelling, vol. 38, pp. 80-86, 2014/02/01/ 2014, doi: https://doi.org/10.1016/j.econmod.2013.12.017.
    [71] Y. Han, C. Long, Z. Geng, and K. Zhang, "Carbon emission analysis and evaluation of industrial departments in China: An improved environmental DEA cross model based on information entropy," Journal of Environmental Management, vol. 205, pp. 298-307, 2018/01/01/ 2018, doi: https://doi.org/10.1016/j.jenvman.2017.09.062.
    [72] G. Debreu, "The Coefficient of Resource Utilization," Econometrica, vol. 19, no. 3, pp. 273-292, 1951, doi: 10.2307/1906814.
    [73] M. J. Farrell, "The Measurement of Productive Efficiency," Journal of the Royal Statistical Society. Series A (General), vol. 120, no. 3, pp. 253-290, 1957, doi: 10.2307/2343100.
    [74] R. Färe, S. Grosskopf, C. A. Knox Lovell, The Measurement of Efficiency of Production, 1 ed. (Studies in Productivity Analysis). Springer Dordrecht, 1985, pp. VIII, 216.
    [75] G. Halkos and K. N. Petrou, "Treating undesirable outputs in DEA: A critical review," Economic Analysis and Policy, vol. 62, pp. 97-104, 2019/06/01/ 2019, doi: https://doi.org/10.1016/j.eap.2019.01.005.
    [76] R. Fare, S. Grosskopf, M. Norris, and Z. Zhang, "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," The American Economic Review, vol. 84, no. 1, pp. 66-83, 1994. [Online]. Available: http://www.jstor.org/stable/2117971.
    [77] (2023). Energy Statistical Annual Reports (Energy Balance Sheet). [Online] Available: https://www.moeaboe.gov.tw/ECW/English/content/ContentLink.aspx?menu_id=1540
    [78] "Factory Operation Census," ed: Department of Statistics, Ministry of Economic Affairs, 2023.
    [79] "Industrial Production, Shipment & Inventory Statistics Survey - Product Statistics," ed: Department of Statistics, Ministry of Economic Affairs, 2023.
    [80] "A Corporate Accounting and Reporting Standard - Revised Edition," ed: World Resources Institute, 2019.
    [81] "Scope 3 Inventory Guidance," ed: Environmental Protection Agency, United States, 2023.
    [82] G. Protocol. "Calculation Tools and Guidance." https://ghgprotocol.org/calculation-tools-and-guidance (accessed 12/07/2023.
    [83] M. o. E. A. Bureau of Energy, "2021 Electricity Carbon Emission Factor," 2021. [Online]. Available: https://www.moeaboe.gov.tw/ECW/english/content/Content.aspx?menu_id=20721.
    [84] J.-C. Yeh and C.-H. Liao, "Impact of population and economic growth on carbon emissions in Taiwan using an analytic tool STIRPAT," Sustainable Environment Research, vol. 27, no. 1, pp. 41-48, 2017/01/01/ 2017, doi: https://doi.org/10.1016/j.serj.2016.10.001.
    [85] T. Chang, C.-M. Hsu, S.-T. Chen, M.-C. Wang, and C.-F. Wu, "Revisiting economic growth and CO2 emissions nexus in Taiwan using a mixed-frequency VAR model," Economic Analysis and Policy, vol. 79, pp. 319-342, 2023/09/01/ 2023, doi: https://doi.org/10.1016/j.eap.2023.05.022.
    [86] M. Yang and J. Kim, "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, vol. 14, no. 16, doi: 10.3390/su141610123.
    [87] (2022). National Greenhouse Gas Inventory Report - Report Summary.
    [88] T.-Y. Lin, Y.-H. Chiu, Y.-N. Lin, T.-H. Chang, and P.-Y. Lin, "Greenhouse gas emission indicators, energy consumption efficiency, and optimal carbon emission allowance allocation of the EU countries in 2030," Gas Science and Engineering, vol. 110, p. 204902, 2023/02/01/ 2023, doi: https://doi.org/10.1016/j.jgsce.2023.204902.
    [89] Q. Qin, Y. Liu, X. Li, and H. Li, "A multi-criteria decision analysis model for carbon emission quota allocation in China's east coastal areas: Efficiency and equity," Journal of Cleaner Production, vol. 168, pp. 410-419, 2017/12/01/ 2017, doi: https://doi.org/10.1016/j.jclepro.2017.08.220.

    無法下載圖示
    全文公開日期 2025/08/25 (校外網路)
    全文公開日期 2025/08/25 (國家圖書館:臺灣博碩士論文系統)
    QR CODE