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The Integration of Development of Information Industry and Pension Service Industry Using Grey Relational Analysis (GRA): The Case Study of Handan City, China

机译:基于灰色关联分析(GRA)的信息产业与养老服务业发展融合研究-以邯郸市为例

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Background/objectives: The integration of information industry and pension industry has become a new growth point for the regional economy. To achieve its deep integration, it is necessary to analyse the fusion mechanism and make scientific measures of the level of integration. This study aims to analyse the circumstances of the integration of information industry and pension industry from the practice level of industrial integration. Method/statistical analysis: Due to the wide range of the pension industry and the lack of large-scale representative enterprises, the overall industrial information collection is difficult. Therefore, the grey relational analysis method is selected to establish the fusion level measurement model. According to the 2011–2017 Statistical Yearbook of Handan city in China, eight related industries were selected as reference series, and Excel 2016 program calculation was used to complete the empirical research. Findings: According to the results, the average level of integration of eight related industries of Handan city in China is 0.74913, of which the information industry and the e-pension industry are 0.64909, ranking seventh, information industry and leasing and business services. The degree of integration is up to 0.84005. The low level of integration between the information industry and the pension industry is highly likely to impede regional economic growth. Improvement/application: In this study, the grey relational analysis showed that the level of integration between the information industry and the pension industry in China was identified, and that it was still in the early stages of integration. It also presented policy alternatives to speed up the development of industry integration in terms of consumer, market and technological improvement, and system innovation.
机译:背景/目标:信息产业与养老产业的融合已成为区域经济的新增长点。为了实现其深度整合,有必要分析融合机制并采取科学的措施来衡量整合水平。本研究旨在从产业整合的实践层面分析信息产业与养老产业融合的情况。方法/统计分析:由于养老金行业的广泛性和缺乏大型代表企业的原因,整个行业信息收集很困难。因此,选择灰色关联分析方法建立融合水平测量模型。根据《中国邯郸市2011-2017年统计年鉴》,选择了八个相关行业作为参考系列,并使用Excel 2016程序计算来完成实证研究。调查结果:根据调查结果,邯郸市八个相关产业的平均整合水平为0.74913,其中信息产业和电子养老产业的整合水平为0.64909,在信息产业和租赁及商业服务业中排名第七。集成度高达0.84005。信息产业与养老金产业之间的融合程度很低,很可能阻碍地区经济增长。改进/应用:在这项研究中,灰色关联分析表明,中国的信息产业与养老金产业之间的整合程度已经确定,并且仍处于整合的初期。它还提出了在消费者,市场和技术改进以及系统创新方面加快行业整合发展的政策选择。

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