EVALUATING THE IMPACT OF LOCAL AMENITIES AND SPATIAL SPILLOVERS ON QUALITY OF LIFE

This article uses the Hedonic models proposed by Rosen 1979, Roback 1982, and Blomquist et al. 1988 to establish the framework for calculating and evaluating inter-townships quality of life in Taiwan. From view of local amenities, the results show that the quality of life index are less than zero, which represents that compensation wage is higher than capitalized housing value from the local amenities. The estimated quality of life by inference with the substitution of input data into model is used as the dependent variable of spatial regression model to investigate the spatial effects. The results show that the local amenities play various roles in the housing market and the labor market. Quality of life is quite geographically characterized with spillover effects, which consists with the Rosens report 1979. In Taiwan, quality of life index does not meet economic development. Economic growth does not spill over completely to improve quality of life. Local amenities factors are more of a threat to quality of life than value addition on quality of life. Many natural disasters, unfavorable climate, unpleasant weather has been higher than positive expectations. The distribution of quality of life in space tends to be concentrated. The socioeconomic factors and quality of life in adjacent areas will spill over and affect the quality of life. This spillover spatial effect reminds urban planners and decision makers that improving the quality of life is urgent and efficient. As long as these independent variables in the model are adjusted, the quality of life in the overall space can be effectively improved. This study addresses the underexplored gap between local amenities and spatial spillover effects in shaping quality of life, particularly within the context of Taiwans inter-township dynamics. By integrating Hedonic pricing models with spatial econometric analysis, it offers a novel and scalable framework for policymakers to spatially allocate resources more effectively.