臺灣博碩士論文加值系統

本文資料來源為民國八十六年三月份，利用分層隨機抽樣的方
式，抽取澎湖各地區20歲以上1%人口比例之樣本，係以電話訪問進 行
，計得590份有效樣本。將樣本資料分成高、中、低所得群組，以 及馬
公地區與非馬公地區兩群組，運用因素分析、區別分析及邏輯斯 諦分析
，分別加以分析、比較各群組支持與反對的諸多因素。以探討 澎湖地區
民眾對於附設觀光娛樂賭場的態度。本研究之主要結論如 下：
一、所得別分析
(1) 低所得群組以因素分數進行邏輯斯諦分析，萃取出社會成本、觀
光經濟效益、休閒功能、土地管制、經營時間限制等五個因素。 (2)
中所得群組以所有變數進行區別分析，萃取出休閒功能、人性需 求、
社會福利、治安警力、地下經濟、性別及年齡等七個變數。 (3) 高
所得群組以因素分數進行區別分析，萃取出觀光經濟效益、社 會成
本、發展觀光島、貧富差距及婚姻等五個因素。 二、地區
別分析 (1) 馬公地
區以因素分數進行邏輯斯諦分析，萃取出觀光經濟效益、 社會成本、
土地管制及家居生活品質等四個因素。 (2) 非馬公地
區以所有變數進行區別分析，萃取出人性需求、休 閒功能、社會
福利、地下經濟、社會風氣、延長觀光旺季、 性別及集中設置
管理等八個變數。

The purpose of this paper is to survey the public opinion of
local population in Penghu about the possibility of
opening up a special casino zone. A stratified sample of 590
effective samples covers 1 percent of local population with
age over 20 which is conducted in March 1997 this year. The
entire sample is sorted out according to different income
levels,low, middle and high incomes; and in addition, two
regions, including Makung city and other areas are also
clustered. The research methodology includes
factor analysis, discriminant analysis and logistic stepwise
regression analysis. The best goodness of fit model derived
from this study is logistic regression model with inclusion of
all explanatory variables.
Next, the major conclusions drawn from this study are the
followings:
1． Being analyzed by income level, low income cluster by from
factor analysis and logistic stepwise regression show that
five key factors, including social cost, tourism economy,
leisure entertainment, zoning regulation and timing
restriction are factored out. In addition, middle
income cluster from discriminant analysis with all
explanatory variables included presents that seven variables
such as leisure entertainment, basic human needs, social
welfare, security force, underground economy, sex and
age. Lastly, higher income level cluster from both
factor analysis and discriminant analysis also show
that five factors, including tourism economy, social cost,
tourism island, income gap between the rich and the poor, and
marriage, are important.
2． Being analyzed by the region, the empirical results from the
factor analysis and logistic regression analysis for Makung
city show that tourism economy, social cost, zoning
regulation, and the quality of family life are the key
factors; while the discriminant analysis with all
explanatory variables included for non-Makung city area
presents that basic human needs, leisure entertainment, social
welfare, underground economy, social norm, tourist season
extension, sex, and location designated are all important
variables to be considered.