面臨全球氣候變遷，環保意識抬頭，節能減碳盛行，但當政府制定相關能源政策時，必須先了解能源消耗與經濟成長及二氧化碳排放之間的關係，本研究將採用低碳的核能及再生能源進行細部探討。
本研究利用EViews軟體透過單根檢定、共整合檢定、向量誤差修正模型及Granger因果關係檢定來探討分析台灣1990年至2015年期間的經濟成長、能源消耗量、二氧化碳排放量、核能與再生能源消耗量五者之間的因果關係。
實證結果表明，能源消耗量與二氧化碳排放量相互影響具有雙向因果關係；能源消耗量對於經濟成長有單向的因果關係；經濟成長與二氧化碳排放量之間具有雙向因果關係，表示經濟成長與二氧化碳排放量尚未脫鉤，若採取節能政策，必須有計畫性的控制能源使用，以避免反向影響經濟成長。
二氧化碳排放量會影響再生能源消耗量但再生能源消耗不會影響二氧化碳排放量，故二氧化碳排放量與再生能源消耗量有單向因果關係；核能消耗量會影響二氧化碳的排放量但二氧化碳排放量不影響核能消耗量，故核能消耗量對於二氧化碳排放量具有單向因果關係。再生能源消耗量與核能消耗量不影響經濟成長故無因果關係。

It is necessary to understand the relationship between energy consumption and economic growth and carbon dioxide emissions when the government develops relevant energy policies. This study will discuss low-carbon nuclear energy and renewable energy sources in details.
In this study, EViews software was used to analyze the economic growth, energy consumption, carbon dioxide emissions, nuclear energy and renewable energy consumption of Taiwan from 1990 to 2015 through unit root test, cointegration test, vector error correction model and Granger causality test.
The empirical results show that there is a two-way relationship between energy consumption and carbon dioxide emissions. Energy consumption has a one-way causality for economic growth. There is a two-way relationship between economic growth and carbon dioxide emissions. Economic growth has not been decoupled from carbon dioxide, a carefully-planned energy conservation policy is required to avoid slowing down the economic growth .
Carbon dioxide emissions will affect renewable energy consumption but renewable energy consumption will not affect carbon dioxide emissions, so carbon dioxide emissions and renewable energy consumption has a one-way causal relationship; nuclear energy consumption will affect carbon dioxide emissions but carbon dioxide emissions do not affect nuclear energy consumption, so nuclear energy consumption for carbon dioxide emissions have a one-way causal relationship. Renewable energy consumption and nuclear energy consumption does not affect the economic growth so there is no causal relationship.

論文審定書 i
誌 謝 ii
摘 要 iii
Abstract iv
目 錄 v
圖 目 錄 vi
表 目 錄 vii

第一章 緒論 1
第一節 研究背景 1
第二節 研究動機 3
第二章 文獻回顧 6
第一節 能源消耗、二氧化碳及經濟成長 6
第二節 再生能源與經濟成長 8
第三節 核能消耗與經濟成長 10
第三章 研究方法 11
第一節 單根檢定 11
第二節 共整合檢定 14
第三節 向量自我迴歸模型(Vector Autoregressive, VAR) 18
第四節 向量誤差修正模型(Vector Error Correction Model，VECM) 20
第五節 Granger因果關係檢定 21
第四章 實證分析 23
第一節 資料說明 23
第二節 單根檢定 23
第三節 最適落後期數 25
第四節 共整合檢定 25
第五節 向量誤差修正模型(VECM) 26
第六節 Granger因果關係檢定 27
第五章 結論與建議 28
第一節 結論 28
第二節 建議 30
參考文獻 31

參考文獻
一、 中文部分
1. 周梅菁，2011。「二氧化碳排放量、能源消費與經濟成長之因果關係-以東亞國家為例」。國立成功大學交通管理科學研究所碩士論文。
2. 郭國誠、張琦雅、郭正傑，2012。「經濟成長、出口與能源消耗因果關係探討：以台灣與韓國為例」。第十五屆決策分析研討會。
3. 何玉麗，2016。「因應國際減碳趨勢我國能源發展面臨之課題與策略」，台灣經濟研究月刊。第39卷第6期。
4. 楊弈農，2009。「時間序列分析-經濟與財務上之應用」，台北市，雙葉書廊。
5. 陳旭昇，2013。「時間序列分析 : 總體經濟與財務金融之應用」，台北市，臺灣東華。
二、 英文部分
1. Akbostanci E., S. Turut-Asik, and G. I. Tunc, 2009. “The relationship between income and environment in Turkey: Is there an environmental Kuznets curve?,” Energy Policy. 37:861–867.
2. Ang J. B., 2007. “CO2 emissions, energy consumption, and output in France,” Energy Policy. 35:4772-4778.
3. Ang J. B., 2008. “Economic development, pollutant emissions and energy consumption in Malaysia,” Journal of Policy Modeling. 30:271–278.
4. Apergis N., and J. E. Payne, 2010. “Renewable energy consumption and growth in Eurasia,” Energy Economics. 32:1392-1397.
5. Apergis N., and J. E. Payne, 2010. “The emissions, energy consumption, and growth nexus: Evidence from the commonwealth of independent states,” Energy Policy. 38:650-655.
6. Apergis, N., J. E. Payne, K. Menyah, and Y. Wolde-Rufael, 2010. “On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth,” Ecological Economics. 69:2255-2260.
7. Bloch H., S., Rafiq and R. Salim, 2013. “Coal consumption, CO2 emission and economic growth in China: Empirical evidence and policy responses,” Energy Economics. 34:518–528.
8. Boqiang Lin and M. Moubarak, 2014. “Renewable energy consumption – Economic growth nexus for China,” Renewable and Sustainable Energy Reviews. 40:111–117.
9. Chandran V.G.R. and C.F. Tang, 2013. “The impacts of transport energy consumption, foreign direct investment and income on CO2 emissions in ASEAN-5 economies,” Renew Sustain Energy Reviews. 24:445-453.
10. Chang C.C., 2010. “A multivariate causality test of carbon dioxide emissions, energy consumption and economic growth in China,” Applied Energy. 87:3533–37.
11. Chen P.Y, S.T. Chen, and C.C. Chen, 2012. “Energy consumption and economic growth-New evidence from meta analysis,” Energy Policy. 40:245-255.
12. Chen P.Y., S.T. Chen, C.S. Hsu, and C.C. Chen, 2016. “Modeling the global relationships among economic growth, energy consumption and CO2 emissions,” Renewable and Sustainable Energy Reviews. 65:420–431.
13. Coondoo D. and S. Dinda, 2002. “Causality between income and emission: a country group-specific econometric analysis,” Ecological Economics. 40:351-367.
14. Coondoo D. and S. Dinda, 2006. “Income and emission: A panel data-based cointegration analysis,” Ecological Economics. 57:167–181.
15. Dickey D. A. and W. A. Fuller, 1979. “Distribution of the Estimators for Autoregressive Time Series With a Unit Root,” Journal of the American Statistical Association. 74:427-431.
16. Esteve V. and C. Tamarit, 2012. “Threshold cointegration and nonlinear adjustment between CO2 and income: the environmental Kuznets Curve in Spain,1857–2007.” Energy Economics. 34:2148–2156.
17. Fodhaa M. and O. Zaghdoud, 2010. “Economic growth and pollutant emissions in Tunisia: an empirical analysis of the environmental Kuznets curve,” Energy Policy , 38:1150–1156.
18. Granger C.W.J. and P. Newbold, 1974. “Spurious regressions in econometrics,” Journal of Econometrics. 2:111-120.
19. Grossman and Krueger, 1991. “Environmental impacts of a North American Free Trade Agreement,” NBER Working Paper, vol. 3914, Cambridge, MA.
20. Halicioglu F., 2009. “An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey,” Energy Policy. 37:1156–1164
21. Hiro Y. Toda and P. C. B. Phillips, 1993. “Vector Autoregressions and Causality,” Econometrica. 61:1367-1393.
22. Hiro Y. Toda and P. C. B. Phillips, 1994. “Vector autoregression and causality: theoretical overview and simulation study,” Econometric Reviews. 13:259-285.
23. Jalil A. and S.F. Mahmud, 2009. “Environment Kuznets curve for CO2 emissions: a cointegration analysis for China,” Energy Policy. 37:5167–5172.
24. Johansen S. and K. Juselius, 1990. “Maximum likelihood estimation and inference on cointegration-with applications to the demand for money,” Oxford Bulletin of Economics and Statistics. 52:169-210.
25. Kais and Mounir, 2016. “Nuclear energy, renewable energy, CO2 emissions, and economic growth for nine developed countries: Evidence from panel Granger causality tests,” Progress in Nuclear Energy. 88:364-374.
26. Kraft J. and A. Kraft, 1978. “On the Relationship between Energy and GNP,” Journal of Energy Development. 3:401-403.
27. Lee C.C. and J.D. Lee, 2009. “Income and CO2 emissions: evidence from panel unit root and cointegration tests,” Energy Policy. 37:413–423.
28. Maddala G. S. and I.M. Kim, 1998. “Unit Roots, Cointegration, and Structural Change,” New York.
29. Manuchehr Irandoust, 2016. “The renewable energy-growth nexus with carbon emissions and technological innovation: Evidence from the Nordic countries,” Ecological Indicators. 69:118–125.
30. Menegaki A.N., 2011. “Growth and renewable energy in Europe: A random effect model with evidence for neutrality hypothesis,” Energy Economics. 33:257-263.
31. Menyah K. and Y. Wolde-Rufael, 2010. “CO2 emissions, nuclear energy, renewable energy and economic growth in the US,” Energy Policy. 38:2911-2915.
32. Menyah K. and Y. Wolde-Rufael, 2010. “Energy consumption, pollutant emissions and economic growth in South Africa,” Energy Economic. 32:1374–1382.
33. Nelson C. R. and C. I. Plosser, 1982. “Trends and random walks in macroeconomic time series,” Journal of Monetary Economics. 10:139-162.
34. Pao H.T., H.C. Fu, and C.L. Tseng, 2012. “Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model,” Energy. 40:400-409.
35. Phillips P. C. B. and P. Perron, 1988. “Testing for a unit root in time series regression,” Biometrika. 75:335-346.
36. Robert F. E. and C. W. J. Granger, 1987. “Co-Integration and Error Correction: Representation, Estimation and Testing,” Economertica. 55:251-276.
37. Roula I.-L., 2016. “The impact of renewable energy consumption to economic growth: A panel data application,” Energy Economics. 53:58–63.
38. Saboori B. and J. Sulaiman, 2013. “CO2 emissions, energy consumption and economic growth in Association of Southeast Asian Nations (ASEAN) countries: A cointegration approach.” Energy. 55:813-822.
39. Said E. S. and D. A. Dickey, 1984. “Testing for unit roots in autoregressive-moving average models of unknown order,” Biometrika. 71:599-607.
40. Sephtona P. and J. Mann, 2013. “Further evidence of an Environmental Kuznets Curve in Spain,” Energy Economics. 36:177–181.
41. Sims C. A., 1980. “Macroeconomics and Reality,” Econometrica. 48:1-48.
42. Soytas U. and R. Sari, 2009. “Energy consumption, economic growth, and carbon emissions: challenges faced by an EU candidate member,” Ecological Economics, 68:1667–1675.
43. Tugcu, C.T., I. Ozlturk, and A. Aslain, 2012. “Renewable and non-renewable energy consumption and economic growth revisited: evidence from G7 countries,” Energy Economics. 34:1942–1950.
44. Yoo, S.H. and K.O. Jung, 2005. “Nuclear energy consumption and economic growth in Korea,” Prog. Nuclear. Energy. 46:101-109.
45. Yoo, S.H. and S.J. Ku, 2009. “Causal relationship between nuclear energy consumption and economic growth: a multi-country analysis,” Energy policy, 37:1905-1913.
46. Zhang X.P. and X.M. Cheng, 2009. “Energy consumption, carbon emissions, and economic growth in China,” Ecological Economics. 68:2706–2712.
三、 網站資訊：
1. 行政院環境保護署http://www.epa.gov.tw/ct.asp?xItem=9958&ctNode=31350&mp=epa
2. 行政院主計總處
https://www.dgbas.gov.tw/pointlist.asp
3. 經濟部能源局
http://www.moeaboe.gov.tw/ECW/populace/home/Home.aspx