Industry Promotion Research (산업진흥연구)

Industrial Promotion Institute (산업진흥원)
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A Comparative Study of Nursing Homes Competitiveness in China's Eastern Areas Based on Analytic Hierarchy Process Method

AHP기법을 이용한 중국 동부지역의 요양원 경쟁력 비교연구

  • Chu, Ting (The School of Nursing, Zhejiang Chinese Medical University) ;
  • Sim, Jae-Yeon (Department of Management, Sehan University)
  • 초정 (절강 중의약대학교) ;
  • 심재연 (세한대학교 경영학과)
  • Received : 2021.08.13
  • Accepted : 2021.09.10
  • Published : 2021.10.31
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Abstract

This work aims to use the analytic hierarchy process (AHP) tool to develop the model of industrial competitiveness in the nursing homes of eleven provinces in east China. The original data is from China Civil Affairs Statistical Yearbook 2020. The results show that Jiangsu province has the highest competitiveness in the elderly care industry among the eleven provinces in east China, and Hainan province has the lowest competitiveness. The competitiveness of the elderly care industry varies among the eleven provinces in east China. The ratios of beds to medical staff, the ratio of nursing homes, per capital fixed assets in nursing homes, and the number of unable self-care elderly are the four main influential factors across the competitiveness of the elderly care industry and indicates that the nursing homes competitiveness is affected by multiple factors from multiple levels. A differentiated strategy should be taken according to the circumstances in different provinces to rationally develop the elderly care industry, improving efficiency, the level, and quality of services in the nursing homes.

본 연구는 중국 동부지역 11개 성의 요양원 경쟁력을 비교분석하기 위하여 산업 경쟁력 이론에 근거한 평가지표체계를 설정하고, 계층분석법(AHP)을 이용하였다. 자료는 "중국민정통계연감 2020"의 데이터를 이용하였고, 그 결과 장쑤성은 중국 동부의 11개 성 중 요양원의 경쟁력이 가장 높고 하이난성은 가장 낮은 것으로 나타났다. 경쟁력은 중국 동부의 11개 성에서 차이가 있었다. 요양원 산업 전반에 걸쳐 '의료인력 대비 병상 비율', '요양원 비율', '요양시설 1인당 고정자산', '와상 노인의 수' 등이 크게 영향을 미치는 4대 요인으로, 요양원의 경쟁력에 영향이 있는 것으로 나타났다. 요양원 산업이 합리적으로 발전하고 요양원의 효율성 그리고 서비스의 질이 향상될 수 있도록 지역마다 차별화된 전략을 세워야 한다.

Keywords

Acknowledgement

This Paper was supported by the Sehan University Fund in 2021.

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