淡江大學機構典藏:Item 987654321/23961
English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 62805/95882 (66%)
造訪人次 : 3994747      線上人數 : 419
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/23961


    題名: Economic Growth and the Environmental Kuznets Curve in Taiwan: A Simultaneity Model Analysis
    作者: Hung, Ming-feng;Shaw, Daigee
    貢獻者: 淡江大學產業經濟學系
    關鍵詞: 補正完畢
    日期: 2004-09
    上傳時間: 2009-11-30 18:00:33 (UTC+8)
    出版者: Northhampton, Mass. : Edward Elgar Publishing
    摘要: This paper uses panel data on Taiwan to examine the Environmental Kuznets
    Curve (EKC) relationship between per capita income and air pollution. In the EKC
    literature, EKC is always estimated in the form of a single equation. However, since
    both income and environmental quality are endogenous variables, i.e., they impact
    upon each other, the estimation of single equation relationships where simultaneity
    exists will produce biased and inconsistent estimates. We specify the channels
    through which Y (income) affects P (pollution) and P affects Y in a conceptual model and then formulate a two-equation simultaneous model for empirical research. We test for exogeneity with the Hausman test and estimate the simultaneity model using the
    two-stage least squares method. The inverted U-shaped relationships are found between NO2/CO and per capita income in Taiwan. As income grows, there is first an increase in the levels of NO2 and CO, followed by a decrease. Air pollution, however, does not significantly affect income.
    關聯: Human Capital, Trade and Public Policy in Rapidly Growing Economies: From Theory to Empirics, pp.269-290
    顯示於類別:[產業經濟學系暨研究所] 專書之單篇

    文件中的檔案:

    檔案 大小格式瀏覽次數
    index.html0KbHTML437檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋