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Journal paper
TitleDisparity in Resource Allocation between Community Care Centers and the Demand Population in Taiwan: An Evaluation Conducted by Geographic Accessibility
Issue No.44
Publish Date2020-04
Category研究論文
Author NameMing-Hseng Tseng, Hui-Ching Wu
Page041-095
AbstractNeighborhood social networks are influential for the elderly’s health and well-being, and community-based care can enhance their participation in social activities. The geographic accessibility of com-munity care centers can reduce traffic inconvenience and advance the policy of active aging. This study focuses on the congruence between the demand population and the distribution of the supply of appropriate resources. The investigation applied the methods of Pearson’s correla-tion, geographical accessibility, and the Gini coefficient to explore the service loading ratio of, resource ownership of, and nearest distance to community care centers. In this study, community care centers were held to be the supply points for the resources based on information derived from open data available in 2017. The demand population of the elderly was calculated according to the population aged 65 years or older in 2017. On the basis of these methods and data, our study provides a com-parative analysis by using the administrative district average method, the nearest distance method of the same administrative district, and the nearest distance method of cross-county resource sharing. The results obtained from this investigation demonstrate the incon-sistency between the density of the demand population location and the geographical distribution of community care centers. First, Pearson’s correlation coefficients show a low degree of conformity in the resource allocation’s demand and supply. This finding indicates inconsistency between the resource supply and the demand population. Second, according to the amount of service loading, 50% of the centers show below-average values. These figures indicate that the locations are isolated or are adjacent to each other and are thus lacking in demand population. Third, based on the largest average of the nearest distances, the top five counties were found to be rural. Applying the nearest dis-tance method of cross-county sharing of resources to reassess acces-sibility, all except Taitung County can shorten the nearest distance. These results support our research position of encouraging local gov-ernments to share community care centers. Finally, based on the service resource ownership rates of the demand population (geographic acces-sibility scores), the Gini coefficients are between 0.4~0.7, emphasizing the seriousness of the inequality between the resource supply and the demand population. In sum, the appraisal of spatial resource allocation is a key issue for governmental agenda-setting, whereby geographic accessibility assessments should examine both the demand side (e.g. elderly demand population, and rural/urban locations of administrative districts) and the supply side (e.g. distance factor, and capacity of community care centers). Geographic accessibility and the equality of resource distri-bution need to be examined synchronously in order to optimize the spatial locations of community-based care resources. Our study sug-gests that effective policy creation can allow the demand population, regardless of the area of the registered permanent residence, to make use of community care centers, and encourages local governments to cooperate and to share their community care resources. Through our policy suggestion of the cross-county sharing of resources, the incon-sistencies between the demand population and the distribution of the supply of resources can easily be improved by enhancing the geographic accessibility of the elderly. This move can help the elderly to avail themselves of community care centers, and promote the execution of the “aging in place” policy goal.
Keywordscommunity care center, community-based care, geographic accessibility, resources allocation, spatial inequality
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