scholarly journals Spatio-temporal variation in phytoplankton community and its influencing factors in Danjiangkou Reservoir

2016 ◽  
Vol 28 (5) ◽  
pp. 1057-1065
Author(s):  
WANG Yinghua ◽  
◽  
CHEN Lei ◽  
NIU Yuan ◽  
YU Hui ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Influencing Factors ◽  
Phytoplankton Community ◽  
Danjiangkou Reservoir ◽  
Spatio Temporal

scholarly journals Spatio-temporal variation characteristics of air pollution and influencing factors in Hebei province

2021 ◽  
Vol 36 (2) ◽  
pp. 411
Author(s):  
Zhen-fang HE ◽  
Qing-chun GUO ◽  
Jia-zhen LIU ◽  
Ying-ying ZHANG ◽  
Jie LIU ◽  
...  
Keyword(s):  
Air Pollution ◽  
Temporal Variation ◽  
Influencing Factors ◽  
Hebei Province ◽  
Variation Characteristics ◽  
Spatio Temporal

Spatio-temporal variation of soil moisture and its influencing factors in Chinese typical forest ecosystems

2021 ◽  
Vol 41 (2) ◽  
Author(s):  
常清青，何洪林，牛忠恩，任小丽，张黎，孙婉馨，朱晓波 CHANG Qingqing
Keyword(s):  
Soil Moisture ◽  
Temporal Variation ◽  
Influencing Factors ◽  
Forest Ecosystems ◽  
Spatio Temporal

Spatio-temporal variation of the phytoplankton community in a tropical estuarine gradient, under the influence of river damming

2021 ◽  
Vol 43 ◽  
pp. 101642
Author(s):  
Lorena Pedreira Conceição ◽  
Helen Michelle de Jesus Affe ◽  
Daniela Mariano Lopes da Silva ◽  
José Marcos de Castro Nunes
Keyword(s):  
Temporal Variation ◽  
Phytoplankton Community ◽  
River Damming ◽  
Estuarine Gradient ◽  
Tropical Estuarine ◽  
Spatio Temporal

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 Variation Characteristics of Surface Net Radiation in China over the Past 50 Years

2013 ◽  
Vol 15 (1) ◽  
pp. 1 ◽  
Author(s):  
Yangzi GAO ◽  
Honglin HE ◽  
Li ZHANG ◽  
Qianqian LU ◽  
Guirui YU ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Net Radiation ◽  
The Past ◽  
Variation Characteristics ◽  
Spatio Temporal
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