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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳珮瑛(Pei-Ing Wu) | |
dc.contributor.author | Hung-Yi Chang | en |
dc.contributor.author | 張弘毅 | zh_TW |
dc.date.accessioned | 2021-06-15T04:53:28Z | - |
dc.date.available | 2012-08-03 | |
dc.date.copyright | 2010-08-03 | |
dc.date.issued | 2010 | |
dc.date.submitted | 2010-07-29 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/46085 | - |
dc.description.abstract | 為同時考慮不同CO2排放水準以及不同的經濟發展程度,本文針對每人每年CO2排放量進行不同程度區分的分量迴歸,同時也針對每人每年國民所得區分不同經濟發展階段的另一分量迴歸,建構一雙向分量迴歸,以綜合考量不同CO2排放程度及不同經濟發展情況下,更準確的捕捉不同經濟發展階段下,CO2的排放量與經濟發展水準的關係。同時在使用長期追蹤資料下,以共同邊界技術比率改善固定效果模型對樣本個別效果與時間效果的解釋能力。
估計結果顯示經濟發展水準較低的國家,每增加1%之每人每年GDP,其承受相對較小的每人每年CO2排放量之增加幅度。其次,隨著經濟發展程度的提昇,每人每年GDP與每人每年CO2排放量關係的曲線漸為平坦,但不論那一階段的經濟發展水準,每人每年GDP與每人每年CO2排放量並不存在倒U字型的關係。此外,在單向分量迴歸與雙向分量迴歸的估計結果,平均而言雙向分量迴歸所估計之係數,較單向分量迴歸來的符合實際情況。 | zh_TW |
dc.description.abstract | The purpose of this paper is to construct a double quantile regressions model to simultaneously take into account different levels of CO2 emissions and different levels of economic development for each country. One of the quantile regressions accounts for the division of CO2 emissions per capita annually. The other quantile regression justifies the degree of economic development with representation of national income per capita per year(GDP) A set of data with 104 countries in 1990-2005 is used for such purpose. Due to the use of panel data, variables of meta-technical ratio of each country in different years are estimated to reflect the time and country fixed effect to replace the traditional fixed-effect model to have better performance in catching the time-invariant factors.
Estimated results show that, countries for all levels of economic developments and for different levels of CO2 the relationships between GDP per capita and CO2 emission per person are positive. That is, for either group of the country there is no inverted U-shaped relationship between GDP per capita and CO2 emission per person. In addition, as with the change of GDP per capita to the change of CO2 emission per person, the resultes estimated from double quantile regression are closed to the data computed from the original data. Furthermore, every 1% increase of GDP for country with low economic development, there is higher percentage increase of CO2 emission. On the contrary, every 1% increase of GDP for country with high economic development, the percentage increase of CO2 is lower. However, countries with different levels of economic development weigh and view differently for every 1% increase of GDP. Since the absolute increase of CO2 emissions is higher for low income country than that for high income country it reinforces the conflict between the development of economy for low income country and the control of CO2 emissions. This will then require much more efforts to release the tension and pressure for corporative elimination of CO2 emissions between high income countries and low income countries. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T04:53:28Z (GMT). No. of bitstreams: 1 ntu-99-R97627011-1.pdf: 138006054 bytes, checksum: 5e6df6a05708a85170a4aa3a5adb4d41 (MD5) Previous issue date: 2010 | en |
dc.description.tableofcontents | 摘要 .......................... i
Abstract ......................... ii 目錄 ........................ ii 表目錄 ........................ iv 圖目錄 ....................... v 第一章 緒論 ....................... 1 第一節 研究動機 .................. 1 第二節 研究目的 .................. 5 第二章 經濟發展與 CO2排放量之關係的概念架構 .......... 7 第一節 環境顧自耐曲線 .................. 7 一、 形成倒 U 字型 EKC 曲線之原因 ......... 8 二、 非倒 U 字型 EKC 曲線之成因 ........... 11 第二節 估計模型之選用--分量迴歸方法 ........ 14 第三節 雙向分量迴歸 ................ 15 一、 長期追蹤資料--固定效果模型 .......... 19 二、 長期追蹤資料--隨機效果模型 .......... 20 第四節 雙向分量迴歸之長期追蹤資料個別效果捕捉的改良 .... 22 一、 技術效率之求解方式 .............. 24 二、 代表時間別與國家別之 MTR 求解方式 ....... 24 第三章 實證模型之設計與資料來源 ............... 27 第一節 模型設定 .................... 27 第二節 實證資料來源 ................ 29 一、 估計 GDP 函數所需之變數 ............ 29 二、 估計二氧化碳排放量函數所需之變數 .......... 31 三、 估算共同邊界技術比率所需之變數 .......... 32 第三節 實證資料檢視 ................ 32 一、 樣本特性 .................. 32 二、 原始變數特性之檢視 .............. 33 三、 各變數間關係 .................. 42 第四章 實證模型估算結果與分析 ............... 45 第一節 個別效果與時間效果以 MTR 值估算 ....... 45 一、 國家別 MTRC與時間別 MTRY值之分組方式 ..... 45 二、 群組邊界技術效率及共同邊界技術效率值之估計 .... 46 第二節 分量迴歸函數之估計式 .............. 47 一、 CO2函數之分量迴歸 .............. 48 二、 GDP 函數之分量迴歸 ............. 51 第三節 每人每年 CO2排放量函數之估計結果與分析 ....... 52 第四節 每人每年 GDP 函數估計結果 .......... 55 第五節 每人每年 GDP 與每人每年 CO2排放量--雙向分量迴歸之估計結果與分析 .......... 61 第六節 雙向分量迴歸模型與單向分量迴歸模型之比較 .... 71 一、 單向分量迴歸之模型估計 .............. 71 二、 雙向分量迴歸與單向分量迴歸估計結果之比較 ...... 73 第五章 結論與建議 ................... 80 參考文獻 ....................... 82 附錄一:104 國時間別與國家別之 MTR 值 ............. 89 附錄二:104 國每人每年 CO2 排放量及每人每年 GDP 之平均值、最大值、最小值 ............. 115 附錄三:每人每年 CO2 排放量函數各分位之係數值及 95%信賴區間 .. 122 附錄四:每人每年 GDP 函數各分位之係數值及 95%信賴區間 ...... 126 | |
dc.language.iso | zh-TW | |
dc.title | 雙向分量迴歸模型之建構--二氧化碳與經濟發展關係再檢視 | zh_TW |
dc.title | Construction of Double Quantile Regression Model --Revisit the Relationship between CO2 and Economic Development | en |
dc.type | Thesis | |
dc.date.schoolyear | 98-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 陳吉仲,溫麗琪 | |
dc.subject.keyword | 雙向分量迴歸,環境顧自耐曲線,長期追蹤資料,共同邊界,技術效率,每人每年CO2排放量, | zh_TW |
dc.subject.keyword | double quantile regression,environmental Kuznets curve,panel data,meta-technical ratio,CO2 emission per person, | en |
dc.relation.page | 132 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2010-07-30 | |
dc.contributor.author-college | 生物資源暨農學院 | zh_TW |
dc.contributor.author-dept | 農業經濟學研究所 | zh_TW |
顯示於系所單位: | 農業經濟學系 |
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