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題名 產業部門能源需求與碳排放之驅動力與效率的實證研究
Empirical Analysis on Driving Forces and Technical Efficiency of Energy Demand, Economic Growth and Carbon Emission
作者 單珮玲
Shan, Pei Ling
貢獻者 黃宗煌
Huang, Chung Huang
單珮玲
Shan, Pei Ling
關鍵詞 EKC假說
環境稅
拆解分析
隨機生產邊界
隨機成本邊界
技術效率
EKC hypothesis
Environmental taxes
Decomposition analysis
Stochastic production frontier
Stochastic cost frontier
Technical efficiency
日期 2010
上傳時間 11-十月-2011 17:03:02 (UTC+8)
摘要 本研究包括3個研究議題。第1個議題旨為估算不同部門別（包括農業、工業、服務業與運輸業）的能源燃燒產生CO2排放之組成因素的貢獻量，係藉由拉氏指數法和算術平均迪氏指數法之加法型態，拆解5種不同的因素（包括：碳密集度、部門結構、能源密集度、人口及經濟規模等），觀察其對於CO2排放變動之影響。本文採用台灣1992-2008年的各部門別的資料作為分析的基礎，研究結果顯示，以上部門的經濟規模對於CO2排放的貢獻呈現巨幅的正向效果；人口因素則呈現微幅的正向或負向的影響；而碳密集度對於CO2排放減量有正面的影響，並發現此乃是構成改善能源結構並導致CO2排放減量的最重要因素；能源密集度因素的影響，除服務業以外，其餘部門均呈現負向影響，此一結果顯示，大部分部門要進一步改善其能源效率頗為困難，是以未來致力於減排的努力，應著重於使用乾淨能源，尤其是以再生能源作為替代能源 (Liaskas et al., 2000)；此外，值得注意的是，部門結構因素對於大部分的產業，如農業、工業和運輸業的CO2排放減量有正向的影響，據此可推論，我國的部門結構已漸趨向於低耗能產業（如服務業）發展。另外，本文採用近似不相關迴歸模型，探討各項政策工具（如環境稅、進口關稅）與經濟變數（如貿易條件及時間趨勢等）透過以上5種不同的組成因素，對於CO2排放變動的影響效果作一分析，其實證結果可供決策者制定減排政策的參考。
第2個議題係為建立節能減排的有效政策工具，須先詳實掌握各項政策工具對節能減排與經濟成長的影響，乃深入回顧相關文獻之理論與實證方法，據以建立適合台灣的3E聯立模型，並進行實證分析，藉以推估多項政策工具（如環境稅、關稅等及能源價格等）與經濟變數（如貿易條件、所得等）對於節能減排與GDP的影響。實證分析結果顯示，台灣之能源消費、CO2排放、及GDP對於各項政策工具與經濟變數之彈性不僅各異其趣，而且有些彈性並非固定不變，可隨時間經過動態調整。
第3個議題係利用台灣1992-2008年之農業、工業、服務業與運輸業等部門別的panel data，仿照Battese and Coelli (1995)提出之隨機邊界(Stochastic Frontier Analysis, SFA)模型，建構隨機生產邊界函數 (stochastic production frontier function)與隨機能源需求函數 (stochastic energy demand frontier function)，利用最大概似法估算出各部門的GDP與能源需求之隨機邊界與技術效率 (technical efficiency, TE)，並據此實證結果提出政策建議。
The thesis includes 3 issues of research. The first research aims at identifying the factors that have influenced change in the level of various sectors (agriculture, industry, service and transport) CO2 emissions from energy use. By means of both Laspeyres index method and the arithmetic mean weight scheme expressed separately in the additive form, the observed changes are analyzed into five different factors: CO2 intensity, structural change, sectoral energy intensity, sectoral employing population and output level. The application study refer to 4 sectors of Taiwan between 1992 and 2008. The obtained decomposition results indicate that the examined sectors the value calculated for the output level effect present the highest value appearing positive contribution of CO2, and the contribution from population is slightly increased or decreased, while CO2 intensity has beneficially influenced the reduction of CO2 emissions, as well as the improvement of fuel mix found to be the most important factor that lead to the reduction of emissions. In most of the examined sectors for the energy intensity factor present positive effect on CO2 emissions, the only exception is service sector showing negative impact on CO2 emissions, which can be stated as Liaskas et al. (2000) that as further improvements in energy efficiency in most sectors become more difficult, efforts to reduce CO2 emissions will be predominantly directed towards the use of clean energy forms and especially towards the deployment of renewable energies. It also should be noted that structural change has positively influenced the abatement of CO2 emissions for the most sectors such as agriculture, industry and transport. We conclude it shifts towards less energy-intensive service sector, due to have negative influenced the observed decrease in CO2 emissions for higher energy use sectors (industry and transport) and agriculture,. In this article, we also use a seemingly unrelated regression to further investigate the policy tools how to change in CO2 emissions level by the five different factors. The results indicate that policymakers may reduce emissions considerably through various policy instruments.
The second issue focuses on initiating effective policy to save energy and reduce emission, one needs to reasonably capture the potential impacts of various policy instruments on energy consumption, CO2 emission and economic growth, the second research, after extensively reviewing the literature, builds a locally ideal empirical model that facilitates the estimation of various policy elasticities. The empirical results indicate that policy elasticities may not only differ from one to the others, but also change dynamically, implying the 3E impacts of some policy instruments might be weakening over time.
The main goal of the third article is to provide a detailed analysis of productivity and efficiency measurement for panel data on four different sectors from Taiwan over the period 1992-2008. We use a stochastic frontier model set by Battese and Coelli (1995) to build a stochastic production frontier function and a stochastic energy demand frontier function, which are estimated by maximum likelihood to obtain a stochastic frontier of GDP and energy demand, as well as technical efficiency. On this empirical results, we suggest that policymaker may simultaneously make top-down policies (green tax reform, increasing environmental tax etc.) and bottom-up policies (fuel price in line with prices of gas in global markets) to increase energy efficiency in different sectors.
參考文獻 行政院賦稅改革委員會研究報告 (2009)，《綠色稅制之研究》，財政部賦稅署。
王禮茂（2004）。「幾種主要碳增匯 / 減排途徑的對比分析」，《第四紀研究》第24卷第2期，頁191-197。
吳榮華、黃玄洲（2001）。「台灣鋼鐵業能源消費變動因素分析 - 物理指標」，《能源季刊》第31卷第4期，頁40-54。
吳銘峰（2003）。《製造業能源效率指標的台灣實證研究》，碩士論文，國立台北大學資源管理研究所。
李正豐、林勻淅（2008）。「我國公路運輸溫室氣體排放變動因素分解分析」，《運輸計劃季刋》第37卷第４期，頁263-380。
周鳳瑛、李佳玲（2001）。「我國能源密集度變動因素分析」，《能源季刊》第31卷第4期，頁55-65。
林佑蓉 (2007)。《台灣與數國之能源經濟及CO2之關聯分析比較》，碩士論文，國立成功大學環境工程研究所。
林素貞、張子見、張翊峰、李正豐（1996）。「以因素分析探討臺灣地區產業CO2排放量之變動趨勢與關鍵因素」，《能源季刊》第26卷第1期，頁1-15。
林素貞、黃群達、林佑蓉（2006）。「台、美、日、英之商業部門CO2排放趨勢與關鍵因素探討」，《能源季刋》第36卷第4期，頁56-77。
單珮玲（2010）。「CO2排放減量與環境政策之探討 ― 以拆解分析法估算各種因素之影響效果」，2010多國籍企業學術研討會，中國文化大學商學院。
單珮玲（2010）。「參加APEC財政部長會議『氣候變遷對亞太經濟合作經濟體經濟政策意涵』會議報告」，行政院所屬各機關因公出國人員出國報告書。
黃仁德、鍾建屏（2008）。「台灣產業結構變動與失業率關係之探討」，《法治論叢》第41期，頁67-108。
黃運貴、曹壽民（2005）。「我國運輸部門能源消費量分解分析」，《運輸學刋》第17卷第２期，頁175-208。
楊任徽（1999）。「造成我CO2上升關鍵因素之尺度分析」，《能源季刊》第29卷第2期，頁62-77。
廖慧嵐（2005）。《台灣地區公路運輸部門能源消費與CO2排放變動分析》，碩士論文，國立成功大學環境工程研究所。
盧怡靜（2003）。《台灣地區工業部門能源消費與污染物排放關聯分析》，碩士論文，國立成功大學環境工程研究所。
Ang, B.W. and F.Q. Zhang (2000). “A Survey of Index Decomposition Analysis in Energy and Environmental Studies,” Energy 25: 1149-1176.
Ang, B.W. and K.H. Choi (1997). “Decomposition of Aggregate Energy and Gas emission Intensities for Industry: Arefined Divisia Index Method,” The Energy Journal, 18(3): 59-73.
Ang, B.W. (1995). “Multilevel Decomposition of Industrial Energy Consumption,” Energy Economics 17(1): 39-51.
Ang, B.W. (1994). “Decomposition of Industrial Energy Consumption: The Energy Intensity Approach.” Energy Economics 16(3): 163-174.
Ang, B.W. and G.. Pandiyan (1997). “Decomposition of Energy-Induced CO2 Emissions in Manufacturing,” Energy Economics 19(3): 363-374.
Ang, B.W. and K.H. Choi (1997). “Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method.” Energy Journal 18(3): 59-73.
Bruvoll, A. and B. M. Larsen (2004). “Greenhouse Gas Emissions in Norway: Do Carbon Taxes Work?” Energy Policy 32: 493-505.
Bruvoll, A. and H. Medin (2003). “Factors Behind the Environmental Kuznets Curve: A Decomposition of the Changes in Air Pollution.” Environmental and Resource Economics 24: 27-48.
Boyd, G. A., D.A. Hanson, and T. Sterner (1988). “Decomposition of Changes in Energy Intensity― a Comparison of the Divisia Index and Other Methods.” Energy Economics 10(4): 309-312.
Chung, H.S. and H.C. Rhee (2001). “A Residual-free Decomposition of the Sources of Carbon Dioxide Emissions: A Case of the Korean Industries.” Energy 26: 15-30.
Green, W.H. (2003). Econometric Analysis. Fifth Edition, Prentice Hall International Edition.
Howarth, R.B. and L. Shipper (1992). “Manufacturial Energy Use in Eight OECD Countries: Trends Through 1988.” Energy Journal 12: 1540.
Liaskas, K., G. Mavrotas, M. Mandaraka, and D. Diakoulaki (2000). “Decomposition of Industrial CO2 Emissions: The Case of European Union.” Energy Economics 22: 383-394.
Liu, C.C. (2007). “An Extended Method for Key Factors in Reducing CO2 Emissions.” Applied Mathematics and Computation 189: 440-451.
Liu, X.Q., B.W. Ang, and H.L. Ong (1992). “The Application of the Divisia Index to the Decomposition of Changes in Industrial Energy Consumption.” Energy Journal 13(4): 161-177.
Schipper, L., F. Unander, S. Murtishaw, and M. Ting (2001,). “Indicators of Energy Use and Carbon Emissions: Explaining the Energy Economy Link.” Annual Review of Energy and Environment 26: 49-81.
Selden, T. M., A. S. Forrest and J. E. Lockhart (1999). “Analyzing the Reductions in U.S. Air Pollution Emissions: 1970 to 1990.” Land Economics 75(1): 1-21.
Sun, J.W. (1998). “Changes in Energy Consumption and Energy Intensity: A Complete Decomposition Model.” Energy Economics 20: 85-100.
Sun, J.W. and B.W. Ang (2000). “Some Properties of an Exact Energy Decomposition Model.” Energy 25: 1177-1188.
Ventura, J. (1997). “Growth and Interdependence.” Quarterly Journal of Economics 112: 57-84.
行政院環境保護署 (2008)。「土壤及地下水污染整治基金來源與用途表」，行政院環境保護署。取自：http://sgw.epa.gov.tw/public/?ctype=B&cid=public&oid=www。
行政院環境保護署 (2008)。「民國85-96年空氣污染防治費收入及支出明細表」，行政院環境保護署。取自：http://air.epa.gov.tw/Public/Main.aspx。
吳珮瑛、劉哲良、蘇明達 (2006)。「由永續發展概念到生活品質內涵的檢視－台灣EKC的再檢驗與SKC的呈現」，《農業經濟叢刊》第12卷第1期，頁61-103。
何金巡、林建甫、周麗芳（2007）。「油價、景氣與政府財政的總體經濟計量分析」，《農業與資源經濟》第4卷第1期，頁25-80。
周婉玲、黃宗煌 (2008)。「環境稅費之雙紅利假說」，《碳經濟》，No. 14, 頁23- 42。
林盈均(2005)。《能源使用效率之衡量與溫室氣體減量工具的影響》，清華大學經濟系碩士論文。
林建甫 (2006)。「台灣總體經濟金融模型之建立」，《中央銀行季刋》第28卷第１期，頁5-41。
林建甫、周麗芳、何金巡 (2005)。「建構台灣總體計量模型：油價、景氣與政府財政的總體經濟計量分析」，總體經濟計量模型研討會，高雄大學。
林珮筠 (2008)。《能源相關稅制對溫室氣體減量之成效探討－歐洲15國之實證研究》，碩士論文，國立政治大學財政研究所。
財政部統計處 (2009)。財政統計年報，財政部統計處編印。
財政部賦稅署 (2009)。《綠色稅制之研究》，行政院賦稅改革委員會研究報告。
梁啟源 (2007)。「全球油價走勢及其對台灣經濟的影響與因應政策」，2007年總體經濟計量模型研討會。
梁靜云 (2008)。《移動污染源空氣污染減量之政策工具－台灣地區實證研究》，碩士論文，國立政治大學財政研究所。
陳明郎 (2001)。《總體經濟學》，學富文化事業有限公司印製。
黃宗煌 (2009)。《京都議定書經濟影響評估模型之建立、持續維護及調整（4/5）》，經建會委託專案研究計畫報告
黃宗煌 (2010)。《京都議定書經濟影響評估模型之建立、持續維護及調整（5/5）》，經建會委託專案研究計畫期中報告
黃宗煌、蔡攀龍、李蕙君 (1997)。「貿易政策對環境的影響」，《台灣經濟預測與政策》 28(1)，頁133-170。
黃宗煌、鄧秀玲 (2003)。「環境顧志耐曲線的斜率以及關稅的環境效果」，未發表論文。
黃耿信、單珮玲、黃宗煌 (2008)。「CO2排放與經濟成長脫鉤的機制」，經濟部能源局委託研究成果發表會《永續能源發展、排放交易與競爭力》。
楊維娟、周登陽、陳正良 (2007)。「跨國污染與貿易同盟」，《農業經濟叢刊》第12卷第2期，頁297-324。
經濟部能源局(2009)。能源統計月報，經濟部能源局。取自：http://www.moeaec.gov.tw/opengovinfo/Plan/all/WorkStatisticsAll.aspx。
簡慧貞、黃宗煌 (2003)。「脫鉤―當經濟成長遇上環境負荷」，行政院國家永續發展委員會，行政院環境保護署：《與地球對話―永續台灣》。
Andreoni, J. and A. Levinson (2001). “The Simple Analytics of Environmental Kuznets Curve.” Journal of Public Economics 80, 269-286.
Baumol, W.J. and W.E. Oates (1988). The Theory of Environmental Policy, Cambridge University Press.
Bruvoll, A. and M.L. Bodil (2004). “Greenhouse Gas Emissions in Norway: Do Carbon Taxes Work?” Energy Policy 32, 493-505.
Bruvoll, A. and H. Medin (2003). “Factors Behind the Environmental Kuznets Curve.” Environmental and Resource Economics 24: 27-48.
Bruyn, de S.M., J.C.J.M. van den Bergh and J.B. Opschoor (1998). “Economic Growth and Emissions: Reconsidering the Empirical Basis of Environmental Kuznets Curves.” Ecological Economics 25, 161-175.
Copeland, B. R. and M. S. Taylor (2004). Trade, “Growth, and the Environment.” Journal of Economic Literature, XLII: 7-71.
Ederington, J. and M. Jenny (2003). “Is Environmental Policy a Secondary Trade Barrier? An Empirical Analysis.” Canadian Journal of Economics 36(1): 137-154.
Essen, C.V. (2009). Carbon Taxation – A Forgotten Climate Policy Tool? Published by Global Utmaning, Stocholm.
Euopean Environment Agency (2008). Annual European Community Greenhouse Gas Inventory 1990 – 2006 and Inventory Report 2008.
European Commission (2007). Taxation in the European Union Data for the EU Member States and Norway, Eurostat Statistical Books.
Fullerton, D., L. Andrew and S. Smith (2008). “Environmental Taxes,” NBER Working Paper 14197.
Galeotti, M., M. Manera and L. Alessandro (2009). “On the Robustness of Robustness Checks of the Environmental Kuznets Curve Hypothesis.” Environmental and Resource Economics 42, 551-574.
Glasure, Y.U. and A.R. Lee (2002). “The Impact of Oil Prices on Income and Energy.” International Advanced in Economic Research 8(2), 148-154.
Goodstein, E. (2003). “The Death of the Pigovian Tax? Policy Implications from the Double-Dividend Debate.” Land Economics 79(3), 402-414.
Goulder, L.H. (1995). “Environmental Taxation and the Double Dividend: A Reader’s Guide.” International Tax and Public Finance 2(2), 157-183.
Grossman, G.M. and A.B. Krueger (1995). “Economic Growth and the Environment.” The Quarterly Journal of Economics 110, 353-377.
Huang, C.H. and P.L. Shan and C.W. Yang (2009). “Measurement of Energy Efficiency in Taiwan and Its Relevance to CO2 Decoupling.” presented at the Workshop on Innovations in Energy Efficiency. Stanford University, California.
Hung, M. F. and D. Shaw (2004). “Economic Growth and the Environmental Kuznets Curve in Taiwan: A Simultaneity Model Analysis.” In Human Capital, Trade and Public Policy in Rapidly Growing Economies, From Theory to Empirics, Michele Boldrin, Been-Lon Chen, and Ping Wang (eds.), 269-290.
Jasen, H. and G. Klaassen (2000). “Economic Impacts of the 1997 EU Energy Tax: Simulations with Three EU-Wide Models.” Environmental and Resource Economics 15, 179-197.
Johnstone, Nick (1995). “Commentary Trade Liberalization, Economic Specialization and the Environment.” Ecological Economics 14, 165-173.
Kuznets, S. (1955). “Economic Growth and Income Inequality.” American Economics Review 45(1), 1-28.
Liu, C.C. (2007). “An Extended Method for Key Factors in Reducing CO2 Emissions.” Applied Mathematics and Computation 189, 440-451.
Managi, S. and P.R. Jean (2008). “Environmental Productivity and Kuznets Curve in India.” Ecological Economics 65, 432-440.
OECD (2005). Policies to Reduce Greenhouse Gas Emissions in Industry: Implications for Steel.
OECD (2002). Indicators to Measure Decoupling of Environmental Pressure from Economic Growth. OECD.
OECD (2006). The Political Economy of Environmentally Related Taxes, OECD.
Schipper, L., F. Unander, S. Murtishaw, and M. Ting (2001). “Indicators of Energy Use and Carbon Emissions: Explaining the Energy Economy Link.” Annual Review of Energy and Environment 26, 49-81.
Selden, T.M., A.S. Forrest and J.E. Lockhart (1999). “Analyzing the Reductions in U.S. Air Pollution Emissions: 1970 to 1990.” Land Economics 75(1), 1-21.
Sterner, T. (2007). “Fuel Taxes: An Important Instrument for Climate Policy.” Energy Policy 35, 3194-3202.
Sun, J.W. (1999). “The Nature of CO2 Emission Kuznets Curve.” Energy Policy 27: 691-694.
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: 137-151.
Vollebergh, H.R.J (2008). “Lessons from the Polder: Energy Tax Design in the Netherlands from a Climate Change Perspective.” Ecological Economics 64, 660-672.
Zaim, O. and F. Taskin (2000). “A Kuznets Curve in Environmental Efficiency: an Application on OECD Countries.” Environmental and Resource Economics 17, 21-36.
陳怡宜、王泓仁 (2009)。「隨機邊界模型的變數衡量誤差問題：一般動差估計法」，《經濟論文叢刊》37(1)，頁1-22。
傅祖壇(1994)。「要素固定性、對偶成本邊界函數及生產效率之衡量─台灣毛豬農場之實證」，《農業經濟叢刊》22(4)，頁451-475。
單珮玲 (2010)。《參加APEC財政部長會議『氣候變遷對亞太經濟合作經濟體經濟政策意涵』會議報告》，行政院所屬各機關因公出國人員出國報告書。
黃志典、黃智遠(2004)。「台灣地區銀行產業成本效率之實證研究─隨機邊界法之應用」，《企銀季刊》27(3)，頁1-28。
黃宗煌 (2009)。《家庭用電服務需求推估與政策推動效益評估》，工研院分包計畫報告。
黃宗煌、王貴玲 (2002)。「自來水事業之技術效率與有效供水成本的評估」，《兩岸永續發展研討會論文集》，台北圓山飯店。
黃宗煌、王貴玲(2002)。「自來水事業之技術效率與有效供水成本的評估」，兩岸永續發展研討會論文集，2002年6月5-7日，台北圓山飯店。
鄭秀玲、周群新(1998)。「調整風險後之銀行效率分析：台灣銀行業的實證研究」，《經濟論文叢刊》26(3)，頁337-366。
鄭秀玲、劉錦添、陳欽奇(1997)。「台灣中小企業銀行的效率分析(1986-1994年)」，《經濟論文》25(1)，頁69-95。
蕭再安、鄭瓊雯(1990)，「運輸能源效率指標之研究」，中華民國運輸學會第15屆學術研討會會議倫文，頁215-224。
Aigner, D., C. Lovell and P. Schmidt (1977). “Formulation and Estimation of Stochastic Frontier Production Function Models.” Journal of Econometrics 6, 21-37.
Battese, G.E. and T.J. Coelli(1995). “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data.” Empirical Economics 20, 325-332.
Buck, J. and D. Young (2007). “The Potential for Energy Efficiency Gains in The Canadian Commercial Building Sector: A Stochastic Frontier Study.” Energy 32, 1769-1780.
Chang, T., W. Fang, and L. Wen (2001). “Energy Consumption, Employment, Output, And Temporal Causality: Evidence from Taiwan Based on Cointegration and Error- correction Modeling Techniques.” Applied Economics 33, 1045-1056.
Cheng, B.S., T.W. Lai (1997). “An Investigation of Cointegration and Causality Between Energy Consumption and Economic Activity in Taiwan.” Energy Economics 19, 435-444.
Chiou-Wei, S. Z., C.F. Chen and Z. Zhu (2008). “Economic Growth and Energy Consumption Revisited – Evidence from Linear and Nonlinear Granger Causality.” Energy Economics 30, 3063-3076.
Coelli, T. (1996). “A Guide to Frontier Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation.” CEPA Working Paper, No. 96/07, University of New England, Armidale, Australia.
Coelli, T., D.S. Prasada Rao, C.J. O’Donnell and G.E. Battese (2005). An Introduction to Efficiency and Productivity Analysis, 2nd Edition, printed in the USA.
Farrell, M.J. (1957). “The Measurement of Productive Efficiency.” Journal of the Royal Statistic Society Series A (General), 120, No. III, 253-281
FeijoÓ，M.L., Franco, J.F. and Hernádex (2002). “Global Warming and The Energy Efficiency of Spanish Industry.” Energy Economics 24, 405-423.
Granger, C.W.J. (1969). “Investigating Causal Relations by Econometric Models and Cross-spectral Methods.” Econometrica, 37, No. 3, 424-438.
Greene, W.H. (2003). Econometric Analysis, 5th Edition, Pearson Education Interational.
Self, S. and Grabowski, R. (2004). “Does Education At All Levels Cause Growth? India, A Case Study.” Economics of Education Review 23, 47-55.
Vaninsky, A. (2010). “Prospective National and Regional Environmental Performance: Boundary Estimations using a Combined Data Envelopment – Stochastic Frontier Analysis Approach.” Energy 30, 1-9.
描述 博士
國立政治大學
財政研究所
92255504
99
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0922555041
資料類型 thesis
dc.contributor.advisor 黃宗煌zh_TW
dc.contributor.advisor Huang, Chung Huangen_US
dc.contributor.author (作者) 單珮玲zh_TW
dc.contributor.author (作者) Shan, Pei Lingen_US
dc.creator (作者) 單珮玲zh_TW
dc.creator (作者) Shan, Pei Lingen_US
dc.date (日期) 2010en_US
dc.date.accessioned 11-十月-2011 17:03:02 (UTC+8)-
dc.date.available 11-十月-2011 17:03:02 (UTC+8)-
dc.date.issued (上傳時間) 11-十月-2011 17:03:02 (UTC+8)-
dc.identifier (其他 識別碼) G0922555041en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/51630-
dc.description (描述) 博士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 財政研究所zh_TW
dc.description (描述) 92255504zh_TW
dc.description (描述) 99zh_TW
dc.description.abstract (摘要) 本研究包括3個研究議題。第1個議題旨為估算不同部門別（包括農業、工業、服務業與運輸業）的能源燃燒產生CO2排放之組成因素的貢獻量，係藉由拉氏指數法和算術平均迪氏指數法之加法型態，拆解5種不同的因素（包括：碳密集度、部門結構、能源密集度、人口及經濟規模等），觀察其對於CO2排放變動之影響。本文採用台灣1992-2008年的各部門別的資料作為分析的基礎，研究結果顯示，以上部門的經濟規模對於CO2排放的貢獻呈現巨幅的正向效果；人口因素則呈現微幅的正向或負向的影響；而碳密集度對於CO2排放減量有正面的影響，並發現此乃是構成改善能源結構並導致CO2排放減量的最重要因素；能源密集度因素的影響，除服務業以外，其餘部門均呈現負向影響，此一結果顯示，大部分部門要進一步改善其能源效率頗為困難，是以未來致力於減排的努力，應著重於使用乾淨能源，尤其是以再生能源作為替代能源 (Liaskas et al., 2000)；此外，值得注意的是，部門結構因素對於大部分的產業，如農業、工業和運輸業的CO2排放減量有正向的影響，據此可推論，我國的部門結構已漸趨向於低耗能產業（如服務業）發展。另外，本文採用近似不相關迴歸模型，探討各項政策工具（如環境稅、進口關稅）與經濟變數（如貿易條件及時間趨勢等）透過以上5種不同的組成因素，對於CO2排放變動的影響效果作一分析，其實證結果可供決策者制定減排政策的參考。
第2個議題係為建立節能減排的有效政策工具，須先詳實掌握各項政策工具對節能減排與經濟成長的影響，乃深入回顧相關文獻之理論與實證方法，據以建立適合台灣的3E聯立模型，並進行實證分析，藉以推估多項政策工具（如環境稅、關稅等及能源價格等）與經濟變數（如貿易條件、所得等）對於節能減排與GDP的影響。實證分析結果顯示，台灣之能源消費、CO2排放、及GDP對於各項政策工具與經濟變數之彈性不僅各異其趣，而且有些彈性並非固定不變，可隨時間經過動態調整。
第3個議題係利用台灣1992-2008年之農業、工業、服務業與運輸業等部門別的panel data，仿照Battese and Coelli (1995)提出之隨機邊界(Stochastic Frontier Analysis, SFA)模型，建構隨機生產邊界函數 (stochastic production frontier function)與隨機能源需求函數 (stochastic energy demand frontier function)，利用最大概似法估算出各部門的GDP與能源需求之隨機邊界與技術效率 (technical efficiency, TE)，並據此實證結果提出政策建議。		zh_TW
dc.description.abstract (摘要) The thesis includes 3 issues of research. The first research aims at identifying the factors that have influenced change in the level of various sectors (agriculture, industry, service and transport) CO2 emissions from energy use. By means of both Laspeyres index method and the arithmetic mean weight scheme expressed separately in the additive form, the observed changes are analyzed into five different factors: CO2 intensity, structural change, sectoral energy intensity, sectoral employing population and output level. The application study refer to 4 sectors of Taiwan between 1992 and 2008. The obtained decomposition results indicate that the examined sectors the value calculated for the output level effect present the highest value appearing positive contribution of CO2, and the contribution from population is slightly increased or decreased, while CO2 intensity has beneficially influenced the reduction of CO2 emissions, as well as the improvement of fuel mix found to be the most important factor that lead to the reduction of emissions. In most of the examined sectors for the energy intensity factor present positive effect on CO2 emissions, the only exception is service sector showing negative impact on CO2 emissions, which can be stated as Liaskas et al. (2000) that as further improvements in energy efficiency in most sectors become more difficult, efforts to reduce CO2 emissions will be predominantly directed towards the use of clean energy forms and especially towards the deployment of renewable energies. It also should be noted that structural change has positively influenced the abatement of CO2 emissions for the most sectors such as agriculture, industry and transport. We conclude it shifts towards less energy-intensive service sector, due to have negative influenced the observed decrease in CO2 emissions for higher energy use sectors (industry and transport) and agriculture,. In this article, we also use a seemingly unrelated regression to further investigate the policy tools how to change in CO2 emissions level by the five different factors. The results indicate that policymakers may reduce emissions considerably through various policy instruments.
The second issue focuses on initiating effective policy to save energy and reduce emission, one needs to reasonably capture the potential impacts of various policy instruments on energy consumption, CO2 emission and economic growth, the second research, after extensively reviewing the literature, builds a locally ideal empirical model that facilitates the estimation of various policy elasticities. The empirical results indicate that policy elasticities may not only differ from one to the others, but also change dynamically, implying the 3E impacts of some policy instruments might be weakening over time.
The main goal of the third article is to provide a detailed analysis of productivity and efficiency measurement for panel data on four different sectors from Taiwan over the period 1992-2008. We use a stochastic frontier model set by Battese and Coelli (1995) to build a stochastic production frontier function and a stochastic energy demand frontier function, which are estimated by maximum likelihood to obtain a stochastic frontier of GDP and energy demand, as well as technical efficiency. On this empirical results, we suggest that policymaker may simultaneously make top-down policies (green tax reform, increasing environmental tax etc.) and bottom-up policies (fuel price in line with prices of gas in global markets) to increase energy efficiency in different sectors.		en_US
dc.description.tableofcontents 摘要 I
ABSTRACT III
目錄 V
表例 VII
圖例 IX
1. 緒論 2
1.1 背景與研究動機 2
1.2 研究內容 7
2. CO2排放組成因素拆解及其與政策變數之關聯 13
2.1 研究動機 13
2.2. 文獻回顧 16
2.2.1 拆解方法概述 16
2.2.2 拆解結果概述 23
2.3. 修正的拆解模式 29
2.3.1 拉氏指數法 29
2.3.2 算術平均迪氏指數法 32
2.4. 資料來源與實證結果 35
2.4.1 資料來源與處理 35
2.4.2 實證分析結果 36
2.5. 組成因素之貢獻量與政策工具的關聯分析 61
2.6 結論與建議 67
2.6.1 結論 67
2.6.2 建議 72
3. 政策工具對CO2排放與經濟的效果分析 77
3.1 緒論 77
3.1.1 研究目的 77
3.1.2 研究方法與架構 80
3.2 文獻回顧 81
3.2.1 政策工具與能源價格概況 82
3.2.2 政策工具與能源價格之3E影響 93
3.3實證模型設定與預期結果 99
3.3.1 模型架構 99
3.3.2 實證模型及其預期結果 101
3.4 資料來源與實證結果 107
3.4.1 資料來源與統計特性 107
3.4.2 時間序列的定態與共整合檢定 108
3.4.3 實證結果 112
3.5 結論與建議 123
4. 能源使用與產出技術效率的評估： 129
4.1 緒論 129
4.2 理論基礎 132
4.2.1 技術效率與配置效率之衡量 132
4.2.2 能源之需求效率的衡量 134
4.2.3 隨機邊界與效率的衡量 135
4.3 資料來源與設算 139
4.4 實證模型設定與結果分析 143
4.4.1 隨機邊界的實證模型設定 143
4.4.2實證結果分析 144
5. 總結 159



表例
表2-1. 挪威各污染物排放之組成因素的貢獻程度：1980至1996 14
表2-2. 排放量之組成因素的拆解文獻彙整表 25
表2-3. 變數定義及資料來源 36
表2-4. 農業部門CO2排放變動量的結構分解：拉氏指數拆解 37
表2-5. 工業部門CO2排放量變動的結構分解－拉氏指數拆解 39
表2-6. 服務業部門CO2排放變動量的結構分解－拉氏指數拆解 41
表2-7. 運輸業部門CO2排放變動量的結構分解－拉氏指數拆解結果 43
表2-8. 農業部門CO2排放成長率的結構分解－迪氏指數拆解結果 45
表2-9. 工業部門CO2排放成長率的結構分解－迪氏指數拆解結果 47
表2-10. 服務業部門CO2排放成長率的結構分解－迪氏指數拆解結果 49
表2-11. 運輸業部門CO2排放成長率的結構分解－迪氏指數拆解結果 51
表2-12. 農業部門CO2排放變動量的結構分解－迪氏指數拆解結果 54
表2-13. 工業部門CO2排放變動量的結構分解－迪氏指數拆解結果 56
表2-14. 服務業部門CO2排放變動量的結構分解－迪氏指數拆解結果 58
表2-15. 運輸業部門CO2排放變動量的結構分解－迪氏指數拆解結果 60
表2-16. 各政策工具之資料來源 62
表2-17. 政策工具對各組成因素之CO2排放貢獻度的影響：工業部門 63
表2-18. 政策工具對各組成因素之CO2排放貢獻度的影響：服務業 63
表2-19. 各部門1992-2008年CO2排放變動量各組成因素平均貢獻值： 68
表2-20. 各部門1992-2008年CO2排放成長率各組成因素平均貢獻值： 69
表2-21. 各組成因素對各部門CO2排放之平均貢獻值： 69
表2-22. 政策工具的有效性分析 72
表3-1. 台灣課徵環境稅費項目之比較 87
表3-2.　變數定義及資料來源與各項變數基本統計量 107
表3-3. GDP函數之ADF單根檢定 110
表3-4. 能源消費函數之ADF單根檢定 111
表3-5. CO2排放量函數之ADF單根檢定 111
表3-6. 各模型殘差項之ADF單根檢定 112
表3-7. 台灣GDP生產函數之推估結果：1992-2007年 112
表3-8. 台灣能源需求函數之推估結果：1992-2007年 113
表3-9. 台灣CO2排放量函數之推估結果：1992-2007年 113
表3-10. GDP、能源消費、及CO2排放量的各項彈性 115
表3-11. 台灣能源消費的所得及政策工具彈性 117
表3-12. 台灣CO2排放之各項彈性：1992-2007年 121
表4-1. 各部門關稅稅收模型推估結果 141
表4-2. 相關變數定義與資料來源 142
表4-3. 台灣各部門別GDP PANEL DATA之SPF推估結果：1992-2008 145
表4-4. 台灣各部門別能源需求PANEL DATA之SCF的推估結果：1992-2008 149


圖例
圖1-1. 本研究的三大議題及其內容 7
圖2-1. 研究架構 15
圖2-2. CO2排放量變動趨勢（以1992年為基期年）－拉氏指數法 17
圖2-3. 農業部門CO2排放變動量的因素組成拆解－拉氏指數法 38
圖2-4. 農業部門CO2排放量之組成因素的貢獻量趨勢－拉氏指數法 38
圖2-5. 工業部門CO2排放變動量的因素組成拆解－拉氏指數法 40
圖2-6. 工業部門CO2排放量之組成因素的貢獻量趨勢－拉氏指數法 40
圖2-7. 服務業部門CO2排放變動量的因素組成拆解－拉氏指數法 42
圖2-8. 服務業部門CO2排放量之組成因素的貢獻量趨勢－拉氏指數法 42
圖2-9. 運輸業部門CO2排放變動量的因素組成拆解－拉氏指數法 44
圖2-10. 運輸業部門CO2排放量之組成因素的貢獻量趨勢－拉氏指數法 44
圖2-11. 農業部門CO2排放成長率的因素組成拆解－拉氏指數法 46
圖2-12. 農業部門CO2排放成長率的組成因素拆解：迪氏指數法 46
圖2-13. 工業部門CO2排放成長率的因素組成拆解－拉氏指數法 48
圖2-14. 工業部門CO2排放成長率的組成因素拆解：迪氏指數法 48
圖2-15. 服務業部門CO2排放成長率的因素組成拆解－拉氏指數法 50
圖2-16. 服務業部門CO2排放成長率的組成因素拆解：迪氏指數法 50
圖2-17. 運輸業部門CO2排放成長率的因素組成拆解－拉氏指數法 52
圖2-18. 運輸業部門CO2排放成長率的組成因素拆解：迪氏指數法 52
圖2-19. 農業部門CO2排放變動量的結構分解－迪氏指數拆解結果 54
圖2-20. 農業部門CO2排放變動量的結構分解－迪氏指數拆解結果 55
圖2-21. 工業部門CO2排放變動量的結構分解－迪氏指數拆解結果 56
圖2-22. 工業部門CO2排放變動量的結構分解－迪氏指數拆解結果 57
圖2-23. 服務業部門CO2排放變動量的結構分解－迪氏指數拆解結果 58
圖2-24. 服務業部門CO2排放變動量的結構分解－迪氏指數拆解結果 59
圖2-25. 運輸業部門CO2排放變動量的結構分解－迪氏指數拆解結果 60
圖2-26. 運輸業部門CO2排放變動量的結構分解－迪氏指數拆解結果 61
圖3-1. 研究架構 81
圖3-2. 歐盟國家總環境稅收占GDP比例 84
圖3-3. 歐盟國家環境稅收占總稅收比例 85
圖3-4. 台灣環境稅費占GDP比例：1994-2007年 88
圖3-5. 國際原油價格趨勢：1991-2008年 89
圖3-6. 台灣與亞洲主要國家柴油價格比較（2009年6月） 90
圖3-7. 台灣與歐盟國家 (EU-6)柴油價格比較（2009年6月） 91
圖3-8. 台灣與歐盟國家 (EU-6)歷年高級無鉛汽油油價之比較 91
圖3-9. 台灣原油進口總值占國內生產毛額比例：1999-2008年 92
圖3-10. 台灣歷年（1990-2007）人均CO2排放量趨勢 92
圖3-11. 台灣歷年CO2排放量及能源消費量趨勢：1998-2007 93
圖3-12. GDP、能源消費量及CO2排放量之關係 99
圖3-13. 時間序列資料的定態性檢定流程 110
圖3-14. 主要國家全球競爭力的變動趨勢 116
圖3-15. 能源消費的環境稅（費）及關稅彈性：1992-2007年 118
圖3-16. 能源消費之國內能源價格指數彈性：1992-2007年 119
圖3-17. 能源消費之貿易條件彈性：1992-2007年 119
圖3-18. 能源消費及CO2排放的所得彈性：1992-2007年 120
圖3-19. CO2排放之環境稅(費)彈性及關稅彈性：1992-2007年 121
圖3-20. CO2排放的能源價格指數彈性：1992-2007年 122
圖3-21. CO2排放的貿易條件彈性：1992-2007年 123
圖4-1. 台灣的能源密集度與能源生產力走勢 131
圖4-2. FARREL的技術、分配與成本效率之衡量 133
圖4-3. 能源需求曲線與需求效率的衡量 134
圖4-4. 各部門1992-2008年之GDP的平均技術效率 147
圖4-5. 各部門不同期間之GDP的平均技術效率之比較 148
圖4-6. 各產業部門1992-2008年之能源需求的平均技術效率 151
圖4-7. 各產業部門不同階段之能源需求的平均技術效率 151		zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0922555041en_US
dc.subject (關鍵詞) EKC假說zh_TW
dc.subject (關鍵詞) 環境稅zh_TW
dc.subject (關鍵詞) 拆解分析zh_TW
dc.subject (關鍵詞) 隨機生產邊界zh_TW
dc.subject (關鍵詞) 隨機成本邊界zh_TW
dc.subject (關鍵詞) 技術效率zh_TW
dc.subject (關鍵詞) EKC hypothesisen_US
dc.subject (關鍵詞) Environmental taxesen_US
dc.subject (關鍵詞) Decomposition analysisen_US
dc.subject (關鍵詞) Stochastic production frontieren_US
dc.subject (關鍵詞) Stochastic cost frontieren_US
dc.subject (關鍵詞) Technical efficiencyen_US
dc.title (題名) 產業部門能源需求與碳排放之驅動力與效率的實證研究zh_TW
dc.title (題名) Empirical Analysis on Driving Forces and Technical Efficiency of Energy Demand, Economic Growth and Carbon Emissionen_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 行政院賦稅改革委員會研究報告 (2009)，《綠色稅制之研究》，財政部賦稅署。zh_TW
dc.relation.reference (參考文獻) 王禮茂（2004）。「幾種主要碳增匯 / 減排途徑的對比分析」，《第四紀研究》第24卷第2期，頁191-197。zh_TW
dc.relation.reference (參考文獻) 吳榮華、黃玄洲（2001）。「台灣鋼鐵業能源消費變動因素分析 - 物理指標」，《能源季刊》第31卷第4期，頁40-54。zh_TW
dc.relation.reference (參考文獻) 吳銘峰（2003）。《製造業能源效率指標的台灣實證研究》，碩士論文，國立台北大學資源管理研究所。zh_TW
dc.relation.reference (參考文獻) 李正豐、林勻淅（2008）。「我國公路運輸溫室氣體排放變動因素分解分析」，《運輸計劃季刋》第37卷第４期，頁263-380。zh_TW
dc.relation.reference (參考文獻) 周鳳瑛、李佳玲（2001）。「我國能源密集度變動因素分析」，《能源季刊》第31卷第4期，頁55-65。zh_TW
dc.relation.reference (參考文獻) 林佑蓉 (2007)。《台灣與數國之能源經濟及CO2之關聯分析比較》，碩士論文，國立成功大學環境工程研究所。zh_TW
dc.relation.reference (參考文獻) 林素貞、張子見、張翊峰、李正豐（1996）。「以因素分析探討臺灣地區產業CO2排放量之變動趨勢與關鍵因素」，《能源季刊》第26卷第1期，頁1-15。zh_TW
dc.relation.reference (參考文獻) 林素貞、黃群達、林佑蓉（2006）。「台、美、日、英之商業部門CO2排放趨勢與關鍵因素探討」，《能源季刋》第36卷第4期，頁56-77。zh_TW
dc.relation.reference (參考文獻) 單珮玲（2010）。「CO2排放減量與環境政策之探討 ― 以拆解分析法估算各種因素之影響效果」，2010多國籍企業學術研討會，中國文化大學商學院。zh_TW
dc.relation.reference (參考文獻) 單珮玲（2010）。「參加APEC財政部長會議『氣候變遷對亞太經濟合作經濟體經濟政策意涵』會議報告」，行政院所屬各機關因公出國人員出國報告書。zh_TW
dc.relation.reference (參考文獻) 黃仁德、鍾建屏（2008）。「台灣產業結構變動與失業率關係之探討」，《法治論叢》第41期，頁67-108。zh_TW
dc.relation.reference (參考文獻) 黃運貴、曹壽民（2005）。「我國運輸部門能源消費量分解分析」，《運輸學刋》第17卷第２期，頁175-208。zh_TW
dc.relation.reference (參考文獻) 楊任徽（1999）。「造成我CO2上升關鍵因素之尺度分析」，《能源季刊》第29卷第2期，頁62-77。zh_TW
dc.relation.reference (參考文獻) 廖慧嵐（2005）。《台灣地區公路運輸部門能源消費與CO2排放變動分析》，碩士論文，國立成功大學環境工程研究所。zh_TW
dc.relation.reference (參考文獻) 盧怡靜（2003）。《台灣地區工業部門能源消費與污染物排放關聯分析》，碩士論文，國立成功大學環境工程研究所。zh_TW
dc.relation.reference (參考文獻) Ang, B.W. and F.Q. Zhang (2000). “A Survey of Index Decomposition Analysis in Energy and Environmental Studies,” Energy 25: 1149-1176.zh_TW
dc.relation.reference (參考文獻) Ang, B.W. and K.H. Choi (1997). “Decomposition of Aggregate Energy and Gas emission Intensities for Industry: Arefined Divisia Index Method,” The Energy Journal, 18(3): 59-73.zh_TW
dc.relation.reference (參考文獻) Ang, B.W. (1995). “Multilevel Decomposition of Industrial Energy Consumption,” Energy Economics 17(1): 39-51.zh_TW
dc.relation.reference (參考文獻) Ang, B.W. (1994). “Decomposition of Industrial Energy Consumption: The Energy Intensity Approach.” Energy Economics 16(3): 163-174.zh_TW
dc.relation.reference (參考文獻) Ang, B.W. and G.. Pandiyan (1997). “Decomposition of Energy-Induced CO2 Emissions in Manufacturing,” Energy Economics 19(3): 363-374.zh_TW
dc.relation.reference (參考文獻) Ang, B.W. and K.H. Choi (1997). “Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method.” Energy Journal 18(3): 59-73.zh_TW
dc.relation.reference (參考文獻) Bruvoll, A. and B. M. Larsen (2004). “Greenhouse Gas Emissions in Norway: Do Carbon Taxes Work?” Energy Policy 32: 493-505.zh_TW
dc.relation.reference (參考文獻) Bruvoll, A. and H. Medin (2003). “Factors Behind the Environmental Kuznets Curve: A Decomposition of the Changes in Air Pollution.” Environmental and Resource Economics 24: 27-48.zh_TW
dc.relation.reference (參考文獻) Boyd, G. A., D.A. Hanson, and T. Sterner (1988). “Decomposition of Changes in Energy Intensity― a Comparison of the Divisia Index and Other Methods.” Energy Economics 10(4): 309-312.zh_TW
dc.relation.reference (參考文獻) Chung, H.S. and H.C. Rhee (2001). “A Residual-free Decomposition of the Sources of Carbon Dioxide Emissions: A Case of the Korean Industries.” Energy 26: 15-30.zh_TW
dc.relation.reference (參考文獻) Green, W.H. (2003). Econometric Analysis. Fifth Edition, Prentice Hall International Edition.zh_TW
dc.relation.reference (參考文獻) Howarth, R.B. and L. Shipper (1992). “Manufacturial Energy Use in Eight OECD Countries: Trends Through 1988.” Energy Journal 12: 1540.zh_TW
dc.relation.reference (參考文獻) Liaskas, K., G. Mavrotas, M. Mandaraka, and D. Diakoulaki (2000). “Decomposition of Industrial CO2 Emissions: The Case of European Union.” Energy Economics 22: 383-394.zh_TW
dc.relation.reference (參考文獻) Liu, C.C. (2007). “An Extended Method for Key Factors in Reducing CO2 Emissions.” Applied Mathematics and Computation 189: 440-451.zh_TW
dc.relation.reference (參考文獻) Liu, X.Q., B.W. Ang, and H.L. Ong (1992). “The Application of the Divisia Index to the Decomposition of Changes in Industrial Energy Consumption.” Energy Journal 13(4): 161-177.zh_TW
dc.relation.reference (參考文獻) Schipper, L., F. Unander, S. Murtishaw, and M. Ting (2001,). “Indicators of Energy Use and Carbon Emissions: Explaining the Energy Economy Link.” Annual Review of Energy and Environment 26: 49-81.zh_TW
dc.relation.reference (參考文獻) Selden, T. M., A. S. Forrest and J. E. Lockhart (1999). “Analyzing the Reductions in U.S. Air Pollution Emissions: 1970 to 1990.” Land Economics 75(1): 1-21.zh_TW
dc.relation.reference (參考文獻) Sun, J.W. (1998). “Changes in Energy Consumption and Energy Intensity: A Complete Decomposition Model.” Energy Economics 20: 85-100.zh_TW
dc.relation.reference (參考文獻) Sun, J.W. and B.W. Ang (2000). “Some Properties of an Exact Energy Decomposition Model.” Energy 25: 1177-1188.zh_TW
dc.relation.reference (參考文獻) Ventura, J. (1997). “Growth and Interdependence.” Quarterly Journal of Economics 112: 57-84.zh_TW
dc.relation.reference (參考文獻) 行政院環境保護署 (2008)。「土壤及地下水污染整治基金來源與用途表」，行政院環境保護署。取自：http://sgw.epa.gov.tw/public/?ctype=B&cid=public&oid=www。zh_TW
dc.relation.reference (參考文獻) 行政院環境保護署 (2008)。「民國85-96年空氣污染防治費收入及支出明細表」，行政院環境保護署。取自：http://air.epa.gov.tw/Public/Main.aspx。zh_TW
dc.relation.reference (參考文獻) 吳珮瑛、劉哲良、蘇明達 (2006)。「由永續發展概念到生活品質內涵的檢視－台灣EKC的再檢驗與SKC的呈現」，《農業經濟叢刊》第12卷第1期，頁61-103。zh_TW
dc.relation.reference (參考文獻) 何金巡、林建甫、周麗芳（2007）。「油價、景氣與政府財政的總體經濟計量分析」，《農業與資源經濟》第4卷第1期，頁25-80。zh_TW
dc.relation.reference (參考文獻) 周婉玲、黃宗煌 (2008)。「環境稅費之雙紅利假說」，《碳經濟》，No. 14, 頁23- 42。zh_TW
dc.relation.reference (參考文獻) 林盈均(2005)。《能源使用效率之衡量與溫室氣體減量工具的影響》，清華大學經濟系碩士論文。zh_TW
dc.relation.reference (參考文獻) 林建甫 (2006)。「台灣總體經濟金融模型之建立」，《中央銀行季刋》第28卷第１期，頁5-41。zh_TW
dc.relation.reference (參考文獻) 林建甫、周麗芳、何金巡 (2005)。「建構台灣總體計量模型：油價、景氣與政府財政的總體經濟計量分析」，總體經濟計量模型研討會，高雄大學。zh_TW
dc.relation.reference (參考文獻) 林珮筠 (2008)。《能源相關稅制對溫室氣體減量之成效探討－歐洲15國之實證研究》，碩士論文，國立政治大學財政研究所。zh_TW
dc.relation.reference (參考文獻) 財政部統計處 (2009)。財政統計年報，財政部統計處編印。zh_TW
dc.relation.reference (參考文獻) 財政部賦稅署 (2009)。《綠色稅制之研究》，行政院賦稅改革委員會研究報告。zh_TW
dc.relation.reference (參考文獻) 梁啟源 (2007)。「全球油價走勢及其對台灣經濟的影響與因應政策」，2007年總體經濟計量模型研討會。zh_TW
dc.relation.reference (參考文獻) 梁靜云 (2008)。《移動污染源空氣污染減量之政策工具－台灣地區實證研究》，碩士論文，國立政治大學財政研究所。zh_TW
dc.relation.reference (參考文獻) 陳明郎 (2001)。《總體經濟學》，學富文化事業有限公司印製。zh_TW
dc.relation.reference (參考文獻) 黃宗煌 (2009)。《京都議定書經濟影響評估模型之建立、持續維護及調整（4/5）》，經建會委託專案研究計畫報告zh_TW
dc.relation.reference (參考文獻) 黃宗煌 (2010)。《京都議定書經濟影響評估模型之建立、持續維護及調整（5/5）》，經建會委託專案研究計畫期中報告zh_TW
dc.relation.reference (參考文獻) 黃宗煌、蔡攀龍、李蕙君 (1997)。「貿易政策對環境的影響」，《台灣經濟預測與政策》 28(1)，頁133-170。zh_TW
dc.relation.reference (參考文獻) 黃宗煌、鄧秀玲 (2003)。「環境顧志耐曲線的斜率以及關稅的環境效果」，未發表論文。zh_TW
dc.relation.reference (參考文獻) 黃耿信、單珮玲、黃宗煌 (2008)。「CO2排放與經濟成長脫鉤的機制」，經濟部能源局委託研究成果發表會《永續能源發展、排放交易與競爭力》。zh_TW
dc.relation.reference (參考文獻) 楊維娟、周登陽、陳正良 (2007)。「跨國污染與貿易同盟」，《農業經濟叢刊》第12卷第2期，頁297-324。zh_TW
dc.relation.reference (參考文獻) 經濟部能源局(2009)。能源統計月報，經濟部能源局。取自：http://www.moeaec.gov.tw/opengovinfo/Plan/all/WorkStatisticsAll.aspx。zh_TW
dc.relation.reference (參考文獻) 簡慧貞、黃宗煌 (2003)。「脫鉤―當經濟成長遇上環境負荷」，行政院國家永續發展委員會，行政院環境保護署：《與地球對話―永續台灣》。zh_TW
dc.relation.reference (參考文獻) Andreoni, J. and A. Levinson (2001). “The Simple Analytics of Environmental Kuznets Curve.” Journal of Public Economics 80, 269-286.zh_TW
dc.relation.reference (參考文獻) Baumol, W.J. and W.E. Oates (1988). The Theory of Environmental Policy, Cambridge University Press.zh_TW
dc.relation.reference (參考文獻) Bruvoll, A. and M.L. Bodil (2004). “Greenhouse Gas Emissions in Norway: Do Carbon Taxes Work?” Energy Policy 32, 493-505.zh_TW
dc.relation.reference (參考文獻) Bruvoll, A. and H. Medin (2003). “Factors Behind the Environmental Kuznets Curve.” Environmental and Resource Economics 24: 27-48.zh_TW
dc.relation.reference (參考文獻) Bruyn, de S.M., J.C.J.M. van den Bergh and J.B. Opschoor (1998). “Economic Growth and Emissions: Reconsidering the Empirical Basis of Environmental Kuznets Curves.” Ecological Economics 25, 161-175.zh_TW
dc.relation.reference (參考文獻) Copeland, B. R. and M. S. Taylor (2004). Trade, “Growth, and the Environment.” Journal of Economic Literature, XLII: 7-71.zh_TW
dc.relation.reference (參考文獻) Ederington, J. and M. Jenny (2003). “Is Environmental Policy a Secondary Trade Barrier? An Empirical Analysis.” Canadian Journal of Economics 36(1): 137-154.zh_TW
dc.relation.reference (參考文獻) Essen, C.V. (2009). Carbon Taxation – A Forgotten Climate Policy Tool? Published by Global Utmaning, Stocholm.zh_TW
dc.relation.reference (參考文獻) Euopean Environment Agency (2008). Annual European Community Greenhouse Gas Inventory 1990 – 2006 and Inventory Report 2008.zh_TW
dc.relation.reference (參考文獻) European Commission (2007). Taxation in the European Union Data for the EU Member States and Norway, Eurostat Statistical Books.zh_TW
dc.relation.reference (參考文獻) Fullerton, D., L. Andrew and S. Smith (2008). “Environmental Taxes,” NBER Working Paper 14197.zh_TW
dc.relation.reference (參考文獻) Galeotti, M., M. Manera and L. Alessandro (2009). “On the Robustness of Robustness Checks of the Environmental Kuznets Curve Hypothesis.” Environmental and Resource Economics 42, 551-574.zh_TW
dc.relation.reference (參考文獻) Glasure, Y.U. and A.R. Lee (2002). “The Impact of Oil Prices on Income and Energy.” International Advanced in Economic Research 8(2), 148-154.zh_TW
dc.relation.reference (參考文獻) Goodstein, E. (2003). “The Death of the Pigovian Tax? Policy Implications from the Double-Dividend Debate.” Land Economics 79(3), 402-414.zh_TW
dc.relation.reference (參考文獻) Goulder, L.H. (1995). “Environmental Taxation and the Double Dividend: A Reader’s Guide.” International Tax and Public Finance 2(2), 157-183.zh_TW
dc.relation.reference (參考文獻) Grossman, G.M. and A.B. Krueger (1995). “Economic Growth and the Environment.” The Quarterly Journal of Economics 110, 353-377.zh_TW
dc.relation.reference (參考文獻) Huang, C.H. and P.L. Shan and C.W. Yang (2009). “Measurement of Energy Efficiency in Taiwan and Its Relevance to CO2 Decoupling.” presented at the Workshop on Innovations in Energy Efficiency. Stanford University, California.zh_TW
dc.relation.reference (參考文獻) Hung, M. F. and D. Shaw (2004). “Economic Growth and the Environmental Kuznets Curve in Taiwan: A Simultaneity Model Analysis.” In Human Capital, Trade and Public Policy in Rapidly Growing Economies, From Theory to Empirics, Michele Boldrin, Been-Lon Chen, and Ping Wang (eds.), 269-290.zh_TW
dc.relation.reference (參考文獻) Jasen, H. and G. Klaassen (2000). “Economic Impacts of the 1997 EU Energy Tax: Simulations with Three EU-Wide Models.” Environmental and Resource Economics 15, 179-197.zh_TW
dc.relation.reference (參考文獻) Johnstone, Nick (1995). “Commentary Trade Liberalization, Economic Specialization and the Environment.” Ecological Economics 14, 165-173.zh_TW
dc.relation.reference (參考文獻) Kuznets, S. (1955). “Economic Growth and Income Inequality.” American Economics Review 45(1), 1-28.zh_TW
dc.relation.reference (參考文獻) Liu, C.C. (2007). “An Extended Method for Key Factors in Reducing CO2 Emissions.” Applied Mathematics and Computation 189, 440-451.zh_TW
dc.relation.reference (參考文獻) Managi, S. and P.R. Jean (2008). “Environmental Productivity and Kuznets Curve in India.” Ecological Economics 65, 432-440.zh_TW
dc.relation.reference (參考文獻) OECD (2005). Policies to Reduce Greenhouse Gas Emissions in Industry: Implications for Steel.zh_TW
dc.relation.reference (參考文獻) OECD (2002). Indicators to Measure Decoupling of Environmental Pressure from Economic Growth. OECD.zh_TW
dc.relation.reference (參考文獻) OECD (2006). The Political Economy of Environmentally Related Taxes, OECD.zh_TW
dc.relation.reference (參考文獻) Schipper, L., F. Unander, S. Murtishaw, and M. Ting (2001). “Indicators of Energy Use and Carbon Emissions: Explaining the Energy Economy Link.” Annual Review of Energy and Environment 26, 49-81.zh_TW
dc.relation.reference (參考文獻) Selden, T.M., A.S. Forrest and J.E. Lockhart (1999). “Analyzing the Reductions in U.S. Air Pollution Emissions: 1970 to 1990.” Land Economics 75(1), 1-21.zh_TW
dc.relation.reference (參考文獻) Sterner, T. (2007). “Fuel Taxes: An Important Instrument for Climate Policy.” Energy Policy 35, 3194-3202.zh_TW
dc.relation.reference (參考文獻) Sun, J.W. (1999). “The Nature of CO2 Emission Kuznets Curve.” Energy Policy 27: 691-694.zh_TW
dc.relation.reference (參考文獻) 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: 137-151.zh_TW
dc.relation.reference (參考文獻) Vollebergh, H.R.J (2008). “Lessons from the Polder: Energy Tax Design in the Netherlands from a Climate Change Perspective.” Ecological Economics 64, 660-672.zh_TW
dc.relation.reference (參考文獻) Zaim, O. and F. Taskin (2000). “A Kuznets Curve in Environmental Efficiency: an Application on OECD Countries.” Environmental and Resource Economics 17, 21-36.zh_TW
dc.relation.reference (參考文獻) 陳怡宜、王泓仁 (2009)。「隨機邊界模型的變數衡量誤差問題：一般動差估計法」，《經濟論文叢刊》37(1)，頁1-22。zh_TW
dc.relation.reference (參考文獻) 傅祖壇(1994)。「要素固定性、對偶成本邊界函數及生產效率之衡量─台灣毛豬農場之實證」，《農業經濟叢刊》22(4)，頁451-475。zh_TW
dc.relation.reference (參考文獻) 單珮玲 (2010)。《參加APEC財政部長會議『氣候變遷對亞太經濟合作經濟體經濟政策意涵』會議報告》，行政院所屬各機關因公出國人員出國報告書。zh_TW
dc.relation.reference (參考文獻) 黃志典、黃智遠(2004)。「台灣地區銀行產業成本效率之實證研究─隨機邊界法之應用」，《企銀季刊》27(3)，頁1-28。zh_TW
dc.relation.reference (參考文獻) 黃宗煌 (2009)。《家庭用電服務需求推估與政策推動效益評估》，工研院分包計畫報告。zh_TW
dc.relation.reference (參考文獻) 黃宗煌、王貴玲 (2002)。「自來水事業之技術效率與有效供水成本的評估」，《兩岸永續發展研討會論文集》，台北圓山飯店。zh_TW
dc.relation.reference (參考文獻) 黃宗煌、王貴玲(2002)。「自來水事業之技術效率與有效供水成本的評估」，兩岸永續發展研討會論文集，2002年6月5-7日，台北圓山飯店。zh_TW
dc.relation.reference (參考文獻) 鄭秀玲、周群新(1998)。「調整風險後之銀行效率分析：台灣銀行業的實證研究」，《經濟論文叢刊》26(3)，頁337-366。zh_TW
dc.relation.reference (參考文獻) 鄭秀玲、劉錦添、陳欽奇(1997)。「台灣中小企業銀行的效率分析(1986-1994年)」，《經濟論文》25(1)，頁69-95。zh_TW
dc.relation.reference (參考文獻) 蕭再安、鄭瓊雯(1990)，「運輸能源效率指標之研究」，中華民國運輸學會第15屆學術研討會會議倫文，頁215-224。zh_TW
dc.relation.reference (參考文獻) Aigner, D., C. Lovell and P. Schmidt (1977). “Formulation and Estimation of Stochastic Frontier Production Function Models.” Journal of Econometrics 6, 21-37.zh_TW
dc.relation.reference (參考文獻) Battese, G.E. and T.J. Coelli(1995). “A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data.” Empirical Economics 20, 325-332.zh_TW
dc.relation.reference (參考文獻) Buck, J. and D. Young (2007). “The Potential for Energy Efficiency Gains in The Canadian Commercial Building Sector: A Stochastic Frontier Study.” Energy 32, 1769-1780.zh_TW
dc.relation.reference (參考文獻) Chang, T., W. Fang, and L. Wen (2001). “Energy Consumption, Employment, Output, And Temporal Causality: Evidence from Taiwan Based on Cointegration and Error- correction Modeling Techniques.” Applied Economics 33, 1045-1056.zh_TW
dc.relation.reference (參考文獻) Cheng, B.S., T.W. Lai (1997). “An Investigation of Cointegration and Causality Between Energy Consumption and Economic Activity in Taiwan.” Energy Economics 19, 435-444.zh_TW
dc.relation.reference (參考文獻) Chiou-Wei, S. Z., C.F. Chen and Z. Zhu (2008). “Economic Growth and Energy Consumption Revisited – Evidence from Linear and Nonlinear Granger Causality.” Energy Economics 30, 3063-3076.zh_TW
dc.relation.reference (參考文獻) Coelli, T. (1996). “A Guide to Frontier Version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation.” CEPA Working Paper, No. 96/07, University of New England, Armidale, Australia.zh_TW
dc.relation.reference (參考文獻) Coelli, T., D.S. Prasada Rao, C.J. O’Donnell and G.E. Battese (2005). An Introduction to Efficiency and Productivity Analysis, 2nd Edition, printed in the USA.zh_TW
dc.relation.reference (參考文獻) Farrell, M.J. (1957). “The Measurement of Productive Efficiency.” Journal of the Royal Statistic Society Series A (General), 120, No. III, 253-281zh_TW
dc.relation.reference (參考文獻) FeijoÓ，M.L., Franco, J.F. and Hernádex (2002). “Global Warming and The Energy Efficiency of Spanish Industry.” Energy Economics 24, 405-423.zh_TW
dc.relation.reference (參考文獻) Granger, C.W.J. (1969). “Investigating Causal Relations by Econometric Models and Cross-spectral Methods.” Econometrica, 37, No. 3, 424-438.zh_TW
dc.relation.reference (參考文獻) Greene, W.H. (2003). Econometric Analysis, 5th Edition, Pearson Education Interational.zh_TW
dc.relation.reference (參考文獻) Self, S. and Grabowski, R. (2004). “Does Education At All Levels Cause Growth? India, A Case Study.” Economics of Education Review 23, 47-55.zh_TW
dc.relation.reference (參考文獻) Vaninsky, A. (2010). “Prospective National and Regional Environmental Performance: Boundary Estimations using a Combined Data Envelopment – Stochastic Frontier Analysis Approach.” Energy 30, 1-9.zh_TW