本研究探討台灣健康不平等(Health Inequality)之現象。除了傳統的迴歸分析方法外，並且採用空間計量模型進行分析，以平均每一執業醫師服務之人口數、社會福利支出占政府支出之百分比、15歲以上人口識字率、醫療保健支出占政府支出比率、死亡率等五項變數分析影響健康效用的因素。透過地理資訊系統(Geographic Information System, GIS)呈現健康效用具有空間自相關(spatial autocorrelation)現象，並藉由莫蘭指數檢定(Moran's I test)、LISA群聚圖 (Local Indicator of Spatial Association)、空間延遲模型(spatial lag model, SLM)，分別驗證健康效用具有空間集聚效果。由空間延遲效果值顯示：健康效用存在鄰近效果，表示健康效用會受鄰近區域的影響。平均每一執業醫師服務之人口數、死亡率對健康效用有負面顯著影響；社會福利支出占政府支出之百分比、15歲以上人口識字率、醫療保健支出占政府支出比率、皆對健康效用有正面顯著影響。

This study aims to investigate the health inequality in Taiwan. Applying the methods of ordinary least squares, this research uses the spatial regression model and incorporates the number of persons that per doctor serves, the ratios of social welfare expenditure to government expenditure, literacy rates above age fifteenth, the ratios of health care expenditure to government expenditure, and mortality rates for investigation. Moreover, this research uses Geographic Information System (GIS) to examine whether health utility has spatial autocorrelation. By using Moran's index test, local indicator of spatial association (LISA) cluster, and spatial lag model (SLM). All examinations show that health inequality in Taiwan does exist.

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