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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳旭昇 | zh_TW |
| dc.contributor.advisor | Shiu-Sheng Chen | en |
| dc.contributor.author | 宋建勳 | zh_TW |
| dc.contributor.author | Chien-Hsun Sung | en |
| dc.date.accessioned | 2024-02-22T16:46:13Z | - |
| dc.date.available | 2024-02-23 | - |
| dc.date.copyright | 2024-02-22 | - |
| dc.date.issued | 2024 | - |
| dc.date.submitted | 2024-01-31 | - |
| dc.identifier.citation | 參考文獻
[1]參加「2019 公部門綠色金融高峰會」報告(Public Sector Green Finance Summit 2019),金融監督管理委員會(2019) [2]張志瑋.葛復光.柴蕙質.吳雨寰,以 KAYA 恆等式分析我國 2025 年減碳目標之能源結構策略可行性,台灣能源期刊 105 年 9 月 p259-275 [3]何宜謀(2011),二氧化碳排放、能源消耗及經濟成長之關係研究-以印尼和墨西哥為例 [4]彭國昇(2020),燃料進口量、碳排放與經濟成長之間的關係:來自台灣的實證研究 [5]The green swan-Central banking and financial stability in the age of climate change,Bank for International Settlements(BIS),January 2020 [6]The decoupling of economic growth from carbon emissions: UK evidence,Office for national Statiistics(ONS),October 21, 2019 [7] The Roads to Decoupling: 21 Countries Are Reducing Carbon Emissions While Growing GDP,World Resources Institute (WRI),April 5, 2016 [8] Net Zero Review calls for views of British public,GOV.UK,September 29,2022 [9] Binlin Lia. Nils Haneklaus(2022),Reducing CO2 emissions in G7 countries: The role of clean energy consumption, trade openness and urbanization [10] Measuring environmental policy stringency in OECD countries: An update of the OECD composite EPS indicator,OECD,March 25,2022 [11] Greenhouse Gas Emissions from Energy 2022,International Energy Agency [12] C. W. J. Granger(1969)“Investigating Causal Relations by Econometric Models and Cross-spectral Methods”, Econometrica Vol. 37, pp. 424-438 [13] C.W.J. Granger, P. Newbold(1974)“Spurious regressions in econometrics”, Journal of Econometrics Vol.2, pp.111-120 [14] Christopher A. Sims(1980)“Macroeconomics and Reality”, Econometrica Vol.48,pp.1-48 [15] David A. Dickey and Wayne A. Fuller(1979)“Distribution of the Estimators for Autoregressive Time Series With a Unit Root”, Journal of the American Statistical Association Vol.74,pp. 427-43 [16] Peter C. B. Phillips and Pierre Perron(1988)“Testing for a Unit Root in Time Series Regression”, Biometrika Vol.75, pp. 335-346 [17] James H. Stock and Mark W. Watson(2001)“Vector Autoregressions”, Journal of Economic Perspectives Vol.15,pp.101-115 [18] Hiro Y. Toda and Taku Yamamoto(1995)“Statistical inference in vector autoregressions with possibly integrated processes”, Journal of Econometrics ,66,pp.225-250 [19] M. Hashem Pesaran , Yongcheol Shin and Richard J. Smith(2001)“Bounds testing approaches to the analysis of level relationships”, Journal of Applied Econometrics,16,pp.289-326 [20] Charles R. Nelson and Charles R. Plosser(1982)“Trends and random walks in macroeconmic time series: Some evidence and implications”, Journal of Monetary Economics,10,pp. 139-162 [21] Gideon Schwarz(1978)“Estimating the Dimension of a Model”, The Annals of Statistics,6,pp.461-464 [22] Gene M. Grossman & Alan B. Krueger (1991)“Environmental Impacts of a North American Free Trade Agreement”, national Bureau of Economic Research,Working Paper No.3914 參考網站 KOF Globalisation Index (KOFGI) https://kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html OECD Statistics https://stats.oecd.org/ World Bank Open Data-World Development Indicators https://databank.worldbank.org/source/world-development-indicators Eora Global MRIO https://worldmrio.com/ U.S. Energy Information Administration (EIA)-International Energy Statistics https://www.eia.gov/international/data/world International Monetary Fund(IMF)-World Economic Outlook Database2023 https://www.imf.org/en/Publications/WEO/weo-database/2023/April International Energy Agency(IEA)-Data and statistics https://www.iea.org/data-and-statistics Our World in Data https://ourworldindata.org/ World Resources Institute (WRI) https://www.wri.org/ | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/91797 | - |
| dc.description.abstract | 本文以經濟合作發展組織 38 個會員國及 5 大關鍵合作夥伴作為研究對象,使用各國 1981 至 2018 年之追蹤資料針對碳排放與經濟成長進行迴歸分析,實證結果顯示人均能源消費量、石化燃料佔發電比重、政府支出、碳消費及淨儲蓄等變數對人均 GDP 與人均 CO2 排放之關係具有顯著的影響力。在因果關係上,本研究使用研究國家(43 國)1851 年至 2018 年之資料對人均 GDP 與人均 CO2 排放進行Granger 因果檢定,實證結果顯示能源結構仰賴化石燃料的主要工業國家在人均GDP 與人均碳排放大多呈現互相影響關係;人均碳排放領先影響人均 GDP 的國家多為低碳能源結構,高度開採資源、重工業及加工出口的經濟體;人均碳排放與人均 GDP 無領先影響的國家則多為高所得及低碳能源的經濟體,產業上多為農、林業及金融服務業。另外,當選取落後期數較長時,人均碳排放與人均 GDP有較明顯的領先影響關係,這關係視國家的能源結構是否仰賴化石燃料及產業主體是否會產生碳排放而定。 | zh_TW |
| dc.description.abstract | This article takes 38 member states of the Organization for Economic Co-operation and Development and 5 key partners as the research object. It uses the Panel data of each country from 1981 to 2018 conducts an regression analysis on carbon emissions and economic growth. Empirical results show that variables such as per capita energy consumption, the proportion of fossil fuels in power generation, government expenditures, carbon consumption and net savings have a significant impact on the relationship between GDP per capita and CO2 emissions per capita. In Cause-Effect analysis, this article uses the data of 43 countries from 1851 to 2018 to conduct a Granger causality test on GDP per capita and CO2 per capita emissions. The empirical results show that major industrial countries whose energy structure relies on fossil fuels mostly show an interactive relationship between GDP per capita and carbon emissions
per capita ; countries whose carbon emissions per capita lead the way in influencing GDP per capita mostly have low-carbon energy structures and are highly resource exploited, heavy industry and export processing economies; countries with no leading impact on carbon emissions per capita and GDP per capita are mostly high-income and low-carbon energy economies, and their industries are mostly agriculture, forestry and financial services. When the lag period is longer, carbon emissions per capita have a clear leading relationship with GDP per capita. This relationship depends on whether the country''s energy structure relies on fossil fuels and whether industrial entities produce carbon emissions. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-02-22T16:46:13Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2024-02-22T16:46:13Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 目 次
口試委員會審定書……………………………………………………… i 誌謝…………………………………………………………………………………… ii 中文摘要………………………………………………………………………… iii Abstract………………………………………………………………………… iv 第一章 研究背景與動機……………………………………………… 1 第二章 文獻回顧.………………………………………………………… 9 2.1 環境顧志耐曲線…………………………………………………… 9 2.2 經濟成長、碳排放與能源需求………………………… 11 第三章 實證研究架構………………………………………………… 13 3.1 研究架構………………………………………………………………… 13 3.2 資料敘述………………………………………………………………… 16 3.3 敘述統計量……………………………………………………………… 19 第四章 結果與分析……………………………………………………… 20 4.1 交互作用回歸分析人均GDP與人均CO2排放之關係… 20 4.2 因果檢定………………………………………………………………… 23 第五章 結論與建議……………………………………………………… 27 參考文獻…………………………………………………………………………… 30 圖表……………………………………………………………………………………… 33 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 經濟成長 | zh_TW |
| dc.subject | 二氧化碳排放量 | zh_TW |
| dc.subject | 迴歸分析 | zh_TW |
| dc.subject | 因果關係檢定 | zh_TW |
| dc.subject | CO2 Emissions | en |
| dc.subject | Economic Growth | en |
| dc.subject | Granger causality test | en |
| dc.subject | Regression analysis | en |
| dc.title | 碳排放與經濟成長之關係 | zh_TW |
| dc.title | The Relationship Between CO2 Emissions and Economic Growth | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 112-1 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 張勝凱;周有熙 | zh_TW |
| dc.contributor.oralexamcommittee | Sheng-Kai Chang;Yu-Hsi Chou | en |
| dc.subject.keyword | 經濟成長,二氧化碳排放量,迴歸分析,因果關係檢定, | zh_TW |
| dc.subject.keyword | Economic Growth,CO2 Emissions,Regression analysis,Granger causality test, | en |
| dc.relation.page | 45 | - |
| dc.identifier.doi | 10.6342/NTU202400324 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2024-02-02 | - |
| dc.contributor.author-college | 社會科學院 | - |
| dc.contributor.author-dept | 經濟學系 | - |
| 顯示於系所單位: | 經濟學系 | |
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|---|---|---|---|
| ntu-112-1.pdf | 2.08 MB | Adobe PDF | 檢視/開啟 |
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