Is it safe enough? The planning of National Pension Insurance in Taiwan

Author(s):  
Ku Yeun-wen ◽  
Hsiu-Hui Chen
Keyword(s):  
Author(s):  
Marlen Zeisberger ◽  
Daniel Nowik ◽  
Larissa Beck ◽  
Stefanie Märtin ◽  
Ulrike Beckmann ◽  
...  

Author(s):  
Fang Wang ◽  
Haitao Zheng

The causal effect of public pensions on the mental wellbeing of the elderly in lower and middle-income countries deserves further investigation. This paper first constructed a theoretical framework for the impact of New Rural Society Pension Insurance pensions in China on the mental wellbeing of the rural elderly, and described potential channels through which pension income may affect mental wellbeing. We then used the fixed effect model and the instrument variable approach to estimate the casual effects of pension income on the mental wellbeing of the rural elderly. The results reveal that pension income improves mental wellbeing by relieving depression of the rural elderly; however, the beneficial effects of pension income are very limited. Pension income has no beneficial effects on the mental health of the rural elderly in the east region, whereas it slightly relieves depression of those in the middle and west regions. We also found that pension income produces small improvements in the mental health of older females, elderly persons living independently, and those with relatively poor economic conditions.


2005 ◽  
Vol 26 (4) ◽  
pp. 471-489 ◽  
Author(s):  
David McCarthy ◽  
Anthony Neuberger
Keyword(s):  

2021 ◽  
Vol 12 (2) ◽  
pp. 63-89
Author(s):  
Heini Hyttinen ◽  
Hannu Kalevi Kivijärvi ◽  
Anssi Öörni

Discovery of digital innovations is a key organizational capability for sustaining competitive advantage. Despite its importance, discovery of digital innovations is still ill understood. In this paper, the authors seek to provide a theory-based practice for digital innovation discovery. To meet this objective, they source the theories of knowledge and knowledge combination. Data for this case study were collected through semi-structured interviews and a quantitative questionnaire from three pension insurance companies. The data were analyzed by using principal component analysis and by constructing biplots based of the results. Two significant dimensions in the digitalization needs that guide knowledge synthesis were recognized: the importance of adopting the enabler and the volume of resources needed to adopt the enabler. A closer look at the enablers revealed that the most business-critical current digital business enablers for the pension insurance industry are business process automation, online services, and big data.


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