淡江大學機構典藏:Item 987654321/102107
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62830/95882 (66%)
Visitors : 4044677      Online Users : 943
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/102107


    Title: 觀光休閒產業的發展是否能降低所得分配不均及消弭貧窮?
    Other Titles: Does tourism reduce poverty and income inequality? A dynamic panel data approach
    Authors: 洪汶璟;Hung, Wen-Ching
    Contributors: 淡江大學經濟學系碩士班
    林亦珍;Lin, Yi-Chen
    Keywords: 觀光;貧窮;所得分配;動態縱橫資料模型;Tourism;Income inequality;Poverty;Dynamic Panel Data Model
    Date: 2014
    Issue Date: 2015-05-04 09:47:33 (UTC+8)
    Abstract: 本文旨在探討觀光發展,在提升經濟成長的同時,是否能消弭貧窮和改善所得分配?應用動態縱橫資料模型於67個國家1996-2011年之資料,我們發現發展觀光的確可以降低吉尼係數和高所得者的所得份額,並提升低所得者的所得份額。此外,本文實證結果顯示,發展觀光可降低貧窮率和貧窮缺口。不過,在觀光休閒產業的發展程度較高的國家,發展觀光卻會使得貧窮和所得分配惡化。
    The goal of this thesis is to examine whether tourism alleviates poverty and income inequality. We apply the dynamic panel data model to data from 67 countries over the period 1996-2011 and find that tourism is negatively associated with the Gini coefficient and the income share of the highest quintile and positively associated with the income share of the lowest quintile. We also find that tourism is negatively linked to poverty gap and poverty headcount ratio. These results suggest that tourism can be used as a mechanism to reduce poverty and income inequality.
    Appears in Collections:[Graduate Institute & Department of Economics] Thesis

    Files in This Item:

    File SizeFormat
    index.html0KbHTML254View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


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