2021
DOI: 10.1007/s11356-021-17005-4
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Assessing the financial efficiency of healthcare services and its influencing factors of financial development: fresh evidences from three-stage DEA model based on Chinese provincial level data

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Cited by 29 publications
(8 citation statements)
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“…Several studies have examined the connection between technological innovation and resource Asian developing region. For instance, Liu, Wu, and Yao (2022d) discovered that the development of technology has significantly contributed to the rise in resource productivity in the Asian developing regions. The energy and material intensity of manufacturing in Austria has significantly decreased as a result of innovation, according to Chang, Chen, et al (2022).…”
mentioning
confidence: 99%
“…Several studies have examined the connection between technological innovation and resource Asian developing region. For instance, Liu, Wu, and Yao (2022d) discovered that the development of technology has significantly contributed to the rise in resource productivity in the Asian developing regions. The energy and material intensity of manufacturing in Austria has significantly decreased as a result of innovation, according to Chang, Chen, et al (2022).…”
mentioning
confidence: 99%
“…The mean values of the variables show their average levels, which is the central tendency.(Y. Liu et al, 2022 ) For instance, GDPt's mean of 0.018 indicates that the GDP has grown favorably throughout the measured time. Other variables with positive mean values, such as NRt, REt, CO2t, and GFt, also indicate positive average levels or growth rates.…”
Section: Resultsmentioning
confidence: 92%
“…The current normalized residuals from the univariate GARCH models are combined with the previous conditional correlation estimate to recursively update the conditional correlation matrix.(H. Liu et al, 2022 ) This dynamic updating mechanism allows the correlation structure to adjust to shifting market circumstances. The DCC-GARCH model captures both the changing correlation structure between variables and the time-varying volatility of individual variables by merging the univariate CCC-GARCH models with the dynamic conditional correlation specification.…”
Section: Methodsmentioning
confidence: 99%
“…In previous studies, input indicators have usually been classified into three categories-capacity-related, labor-related and expenserelated-while outputs have usually been classified into activityrelated and quality-related, although most studies have used the former rather than the latter (28). In China, input indicators are generally operationalized as the numbers of institutions, beds, health technicians and units of equipment and output indicators as the numbers of visits and inpatient admissions and the bed occupancy rate (29)(30)(31). In addition to these direct indicators, some scholars have also used indirect indicators, such as mortality rate and life expectancy (32), but these apply to the national health system rather than to the PHC system specifically and are not direct outcomes of health care, being influenced by other factors, such as ethnicity and diet.…”
Section: Inputs and Outputsmentioning
confidence: 99%