scholarly journals Service Efficiency of Nursing Homes Based on DEA and Tobit Model: a Longitudinal Study in China

2021 ◽  
Author(s):  
Liangwen Zhang ◽  
Ying Han ◽  
Ya Fang
Keyword(s):  
Nursing Homes ◽  
Social Workers ◽  
Influencing Factors ◽  
Rapid Development ◽  
Temporal Distribution ◽  
Tobit Model ◽  
Eastern Region ◽  
Reform Implementation ◽  
Care Services ◽  
Spatio Temporal

Abstract Background: Low utilization of care resources in China continues to be a challenging problem even though the rapid development of pension services. However, few studies have explored the utilization of care services with either the production of nursing homes at a national and longitudinal level. Methods: The present study analyzes the spatio-temporal distribution of TE and productivity of nursing homes by using the data from China Civil Affairs statistical yearbook (2012-2016). Analysis was conducted based on the Data Envelopment Analysis and Tobit model, which have been widely applied to integrate several quality measures as a comprehensive benchmark. Results: The average TE, PTE and SE of nursing homes were 0.909. 0.928 and 0.979 from 2012 to 2016, respectively. The TE and SE decreased from 2012 to 2014, but improved after 2014. TE is 0.98 in the Eastern region, 0.93 of that in the Central region and 0.91 of that in the Western region, with a decrease range of 2%, 7% and 9%, respectively. The average improvement range of the five input indexes of the non-DEA effective nursing homes was 27.26%, 20.62%, 19.77%, 22.04%, and 38.84%, respectively. The influencing factors of efficiency value of nursing homes indicated that if there are more social workers, more patients in the nursing homes, and more employees who are aged 56 and above, the TE and productivity of nursing homes will be higher.Conclusion: We find that TE of nursing homes in Western regions are all at the lowest, as the current facilities can neither provide equitable nor optimal access and utilization. The decline of the efficiency and productivity before the healthcare reform implementation in 2014 was significant, where the influencing factors could be age and gender of employees, the number of social workers, and older people. Finally, suggestions are put forward for improving the efficiency of allocation and utilization of care services.

scholarly journals An analysis on service efficiency in nursing homes and spatio-temporal variation in China

2020 ◽  
Author(s):  
Liangwen Zhang ◽  
Ying Han ◽  
Ya Fang
Keyword(s):  
Nursing Homes ◽  
Temporal Variation ◽  
Social Workers ◽  
Technical Efficiency ◽  
Influencing Factors ◽  
Tobit Model ◽  
Scale Efficiency ◽  
Eastern Region ◽  
Service Efficiency ◽  
Spatio Temporal

Abstract Background: Pension services market in China is still at the early stage, problems like low service efficiency and low quality of nursing care already exist. So it is inevitable to analyze the efficiency and productivity and spatio-temporal variation, as well as its influencing factors in nursing homes all over the country. Methods: Data Envelopment Analysis (DEA) and Tobit model were applied to integrate several quality measures into a comprehensive benchmarking model. We present nationwide results and analyze the spatio-temporal distribution of the (technical efficiency) TE and productivity of nursing homes among Eastern, Central and Western of China. Furthermore, Tobit model was performed to explore factors associated with TE. Results The average TE, pure technical efficiency (PTE) and scale efficiency (SE) of nursing homes for the 5-year period were 0.909. 0.928 and 0.979, respectively. The TE and SE decreased from 2012 to 2014, but improved after 2014. TE is 0.98 in the Eastern region, 0.93 of that in the Central region and 0.91 of that in the Western region, with a decrease range of 2%, 7% and 9%, respectively. The average improvement range of the five input indexes of the non-DEA effective nursing homes was 27.26%, 20.62%, 19.77%, 22.04%, and 38.84%, respectively. The influencing factors of efficiency value of nursing homes indicated that if there are more social workers, more patients in the nursing homes, and more employees who are aged 56 and above, the TE and productivity of nursing homes will be higher. Conclusions There was considerable space for TE improvement in nursing homes due to the low proportion of effective TE. The TE and SE presented a decreasing trend from 2012 to 2014, which implicated that the large SE in nursing homes with less previous standardized management should be emphasized. (total factor productivity changes)TFPC experienced a decrease in productivity due to the adverse alteration in technological changes and pure technical efficiency. The service efficiency in nursing homes is facing with the problem of imbalance of regional development. The efficiency value of nursing homes was influenced by age of employees, the number of social workers and the number of older people. The measures and suggestions on improving efficiency of care in nursing homes were put forward.

Spatio-temporal distribution of NDVI and its influencing factors in China

2021 ◽  
pp. 127129
Author(s):  
Haoyu Jin ◽  
Xiaohong Chen ◽  
Yuming Wang ◽  
Ruida Zhong ◽  
Tongtiegang Zhao ◽  
...  
Keyword(s):  
Influencing Factors ◽  
Temporal Distribution ◽  
Spatio Temporal

scholarly journals CONSTRUCTION AND ANALYSIS OF LONG-TERM SURFACE TEMPERATURE DATASET IN FUJIAN PROVINCE

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1223-1227 ◽  
Author(s):  
W. E. Li ◽  
X. Q. Wang ◽  
H. Su
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Land Surface ◽  
Rapid Development ◽  
Temporal Distribution ◽  
Heat Fluxes ◽  
Urban Region ◽  
Fujian Province ◽  
Spatio Temporal

Land surface temperature (LST) is a key parameter of land surface physical processes on global and regional scales, linking the heat fluxes and interactions between the ground and atmosphere. Based on MODIS 8-day LST products (MOD11A2) from the split-window algorithms, we constructed and obtained the monthly and annual LST dataset of Fujian Province from 2000 to 2015. Then, we analyzed the monthly and yearly time series LST data and further investigated the LST distribution and its evolution features. The average LST of Fujian Province reached the highest in July, while the lowest in January. The monthly and annual LST time series present a significantly periodic features (annual and interannual) from 2000 to 2015. The spatial distribution showed that the LST in North and West was lower than South and East in Fujian Province. With the rapid development and urbanization of the coastal area in Fujian Province, the LST in coastal urban region was significantly higher than that in mountainous rural region. The LST distributions might affected by the climate, topography and land cover types. The spatio-temporal distribution characteristics of LST could provide good references for the agricultural layout and environment monitoring in Fujian Province.

scholarly journals STAFFING AND CARE QUALITY OF NURSING HOMES IN KOREA

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S702-S702
Author(s):  
Hee Seung Lee
Keyword(s):  
Quality Of Care ◽  
Nursing Homes ◽  
Service Quality ◽  
Social Workers ◽  
Care Service ◽  
Care Quality ◽  
Logit Analysis ◽  
Care Services ◽  
Indirect Care

Abstract Staffing has been regarded as the most important factor for the quality of care service in nursing homes. Korea introduced Long-Term Care Insurance (LTCI) in 2008. The payment system of LTCI has incentivized LTC facilities based on the staffing level of LTC facilities. This study aims to investigate whether staffing is associated with quality of care. The effect of staffing on care quality was assessed using ordered logit analysis. Staffing data in 2015 were retrieved from claim data in the National Health Insurance Service. The publicly reported care service quality grade in 2015 was used as a proxy for care quality. Staffing of registered nurses (RN) and social workers were strongly associated with the care quality. As the number of RNs per residents additionally increased, the LTC facilities were more likely to receive better grades (OR=16851.54, p<0.000). The effect of social workers’ staffing was significant for the care service quality, even though the effect size of smaller than that of RNs (OR=345.87, p<0.000). However, staffing in other professions such as nurse assistants (NA) and personal care workers (PCW) was insignificantly associated with care quality. The effect of staffing on service quality might not be profession-neutral. RN staffing affects most in care quality in Korea. Still, the possibility remains that PCWs or NAs could serve for indirect care services such as cooking or cleaning because of short staffing in indirect care services. This finding could be considered when designing financial incentives for nursing homes in Korea as well as other countries.

scholarly journals Spatio-temporal distribution of flood disasters and analysis of influencing factors in Africa

2016 ◽  
Vol 82 (1) ◽  
pp. 721-731 ◽  
Author(s):  
Chan-juan Li ◽  
Yuan-qing Chai ◽  
Lin-sheng Yang ◽  
Hai-rong Li
Keyword(s):  
Influencing Factors ◽  
Temporal Distribution ◽  
Flood Disasters ◽  
Spatio Temporal

scholarly journals Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy–Environment–Tourism–Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations

2021 ◽  
Vol 18 (15) ◽  
pp. 7947
Author(s):  
Qian Chen ◽  
Yuzhe Bi ◽  
Jiangfeng Li
Keyword(s):  
Influencing Factors ◽  
Regional Integration ◽  
Yangtze River ◽  
Vegetation Index ◽  
Rapid Development ◽  
Urban Agglomeration ◽  
Urban Agglomerations ◽  
Integrated Method ◽  
Spatio Temporal ◽  
Coordination Degree

In the process of rapid development of economic globalization and regional integration, the importance of urban agglomeration has become increasingly prominent. It is not only the main carrier for countries and regions to participate in international competition, but also the main place to promote regional coordination and sustainable development. Coordinated economic, environmental, tourism and traffic development is very necessary for sustainable regional development. However, the existing literature lacks research on coupling coordination of the Economy–Environment–Tourism–Traffic (EETT) system in urban agglomeration. In this study, in order to fill this gap, we establish the index system from four dimensions of economy, environment, tourism and traffic, and select the influencing factors from the natural and human perspectives to exam the spatio-temporal changes and influencing factors in the coupling coordination of the EETT system using an integrated method in the Middle Reaches of Yangtze River Urban Agglomerations (MRYRUA), China. The results indicate that the coupling coordination degree of the EETT system transitioned from the uncoordinated period to the coordinated period, while it showed an increasing trend on the whole from 1995 to 2017. The spatial agglomeration effect has been positive since 2010, while “High–High” and “Low–High” agglomeration regions were transferred from the east to the south. Land used for urban construction as a percentage of the urban area and vegetation index has a great impact on the coupling coordination degree. These results provide important guidance for the formulation of integration and coordinated development policy in the MRYRUA, and then increase China’s international competitiveness by improving the contribution of urban agglomerations to GDP.

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