Abstract:IntroductionConstructing the evaluation index system for the community's aging-friendly construction can provide a decision-making basis for the overall investment and priority satisfaction strategy for the community's aging-friendly construction.MethodsThrough questionnaire survey and statistical analysis, this paper evaluates and analyzes the satisfaction level of various indicators of the community's aging-friendly construction.ResultsThe results show that the community's humanistic care, public environment… Show more
“…Leveraging the theoretical framework outlined previously, in addition to insights gleaned from relevant literature (55,56), we have constructed a robust evaluation index system to assess the development trajectory of the rural older adult care service industry (Table 1). The entropy weight method has been used to determine the weights of each index.…”
BackgroundThe advancement of digital villages in China is shaped by the degree of human capital within the rural labor force, which not only restricts the potential of digital village but also influences the impact of digital empowerment on the progression of the rural older adult care service industry.Materials and methodsUsing panel data from 30 Chinese provinces between 2011 and 2020, we created benchmark and threshold regression models to investigate the influence of digital village construction on the development of the rural older adult care service industry and to delineate the threshold effects of human capital on it. We further scrutinized the correlation between the two systems, along with the factors that affect it, through a coupling coordination model.ResultsPreliminary, the baseline regression outcomes show that the digital village construction is conducive to the progression of the rural older adult care service industry (p < 0.05). Moreover, we identified a significant nonlinear threshold relationship between the digital village, human capital, and the advancement of the rural older adult care service industry (HUM1ST, p < 0.05; HUM2DT, p < 0.01; HUM3DT, p < 0.01). These results indicate that the digital technology’s effect on the development of the rural older adult care service industry is limited by the rural human capital level. Lastly, we found that higher levels of human capital enhance the coupling of the digital village with the rural older adult care service industry (p < 0.01), with the influence of per capita education level being the most pronounced (CoefHUM1 > CoefHUM2 > CoefHUM3).ConclusionThe digital village substantially empowers the rural older adult care service industry, with human capital exhibiting a significant threshold effect on this empowerment. Furthermore, variances in the level of human capital have a considerable impact on the integration of the digital village and the rural older adult care service industry.
“…Leveraging the theoretical framework outlined previously, in addition to insights gleaned from relevant literature (55,56), we have constructed a robust evaluation index system to assess the development trajectory of the rural older adult care service industry (Table 1). The entropy weight method has been used to determine the weights of each index.…”
BackgroundThe advancement of digital villages in China is shaped by the degree of human capital within the rural labor force, which not only restricts the potential of digital village but also influences the impact of digital empowerment on the progression of the rural older adult care service industry.Materials and methodsUsing panel data from 30 Chinese provinces between 2011 and 2020, we created benchmark and threshold regression models to investigate the influence of digital village construction on the development of the rural older adult care service industry and to delineate the threshold effects of human capital on it. We further scrutinized the correlation between the two systems, along with the factors that affect it, through a coupling coordination model.ResultsPreliminary, the baseline regression outcomes show that the digital village construction is conducive to the progression of the rural older adult care service industry (p < 0.05). Moreover, we identified a significant nonlinear threshold relationship between the digital village, human capital, and the advancement of the rural older adult care service industry (HUM1ST, p < 0.05; HUM2DT, p < 0.01; HUM3DT, p < 0.01). These results indicate that the digital technology’s effect on the development of the rural older adult care service industry is limited by the rural human capital level. Lastly, we found that higher levels of human capital enhance the coupling of the digital village with the rural older adult care service industry (p < 0.01), with the influence of per capita education level being the most pronounced (CoefHUM1 > CoefHUM2 > CoefHUM3).ConclusionThe digital village substantially empowers the rural older adult care service industry, with human capital exhibiting a significant threshold effect on this empowerment. Furthermore, variances in the level of human capital have a considerable impact on the integration of the digital village and the rural older adult care service industry.
“…China has been opening new schools of public health throughout the country, specifically during the COVID-19 pandemic. 5 South Africa, a low-middle-income country, has PHPM residency programs that have lasted for the past forty years. 6 The majority of South African PHPM physicians are committed to their specialty; most of them have a sense of social justice as they work towards assuring health care is available for people of all backgrounds.…”
“…The selection of indicators for the livelihood dimension and ecological civilization construction dimension was based on the research on livelihood and green China's indicator systems conducted by Ke Yiwei and Zhang Zhen (2022) [15], Cui Huiyu (2022) [13], and Qi Yue (2018) [20]. In the dimension of spiritual civilization construction, indicator selection was informed by the studies of Li Jinchang and Yu Wei (2022) [21], Fu Caiwu (2022) [12], Yuan Yongke (2019) [22], and Li Changda (2019) [23] The high-quality development pattern (HDP) dimension measures the level of economic development in Zhejiang Province, residents' income level, innovation capacity, and degree of openness, starting from economic benefits. It reflects whether the economic volume of Zhejiang Province is growing and whether the economic development environment is healthy.…”
Section: Achieving Comprehensiveness In Indicatorsmentioning
Common prosperity is an essential requirement of socialism. This paper examines the discourse on the proportion of the middle-income group and the research of scholars on common prosperity both domestically and internationally. A method for estimating the middle-income group, incorporating the consumer price index, is proposed, and the proportion of the middle-income group in Zhejiang Province over the past decade is calculated using the kernel density estimation method and included in the indicator pool. Relevant indicators are selected through grey relational analysis and rank correlation analysis, and a measurement system for the degree of achieving common prosperity is constructed, consisting of five primary indicators and twenty-five secondary sub-indicators. Taking Zhejiang Province as an example, the degree of achieving common prosperity and the implementation status of the five dimensions over the past decade are calculated. The results show that the scores of the five dimensions have shown a spiral upward trend in the past decade, but due to the impact of the epidemic, the overall degree of achieving common prosperity has declined after 2020.
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