Shaoquan Liu

Dr. Shaoquan Liu

Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 January 2020 in BMC Women's Health
Verified
Journal Article
Open access
PDF file
YSYue Shui
Yue Shui
Dingde XuDingde Xu
Dingde Xu
YLYi Liu
Yi Liu
Shaoquan LiuShaoquan Liu
Shaoquan Liu
Background: Due to the great burden of family and the conflicts among family, society and career roles resulting from migrant working, rural women suffer more conflicts between work and family and need more social attention. Previous studies of the conflicts between family and work mainly focus on the group of career women, and there is a lack of the research on the conflicts between work and family of rural women, which needs to be systematically and further studied. Methods: This study used a sample survey of 380 rural women in rural areas of Sichuan Province to measure rural women’s cognition of work-family, coordination and handling of conflicts, post-conflict choices, and subjective well-being; the study constructs an ordered multi-class logistic regression model to explore the impact of work-family conflict on the subjective well-being of rural women in rural regions. Results: The study result shows that: (1) The level of subjective well-being of rural women is generally high, and 70% of women feel satisfied or very satisfied. (2) The factor which impacts the subjective well-being among rural women most is work-interfering-with-family conflict, followed by work-family balance and confidence in conflict coordination. Conclusion: This study can enhance our understanding of rural women in rural areas, and provide a reference for formulating policies to improve people’s life satisfaction.

1 February 2019 in Journal of Environmental Management
Verified
Journal Article
Closed access
Dingde XuDingde Xu
Dingde Xu
Xin DengXin Deng
Xin Deng
SGShili Guo
Shili Guo
Shaoquan LiuShaoquan Liu
Shaoquan Liu

23 April 2015 in Sustainability
Verified
Journal Article
Open access
PDF file
Dingde XuDingde Xu
Dingde Xu
JZJifei Zhang
Jifei Zhang
GRGolam Rasul
Golam Rasul
Shaoquan LiuShaoquan Liu
Shaoquan Liu
FXFangting Xie
Fangting Xie
ELEnlai Liu
Enlai Liu
This study explores the extent to which farmers in the Three Gorges Reservoir area remain highly dependent on agriculture despite rapid urbanization and industrialization. The study focuses on the factors that determine a household’s choice of livelihood strategy, with a particular focus on the production of and dependence on agricultural products. Using a sustainable livelihoods approach and survey data from farmers in the Three Gorges Reservoir area in China, the study provides a descriptive statistical analysis and ordinal logistic regression model that shows that close to 56% of households exhibit a low dependence on agriculture. The following variables had a significant influence on livelihood strategy: the maximum years of education of any household member; the age of the household head; the number of laborers in a household; household location; and formal and informal social networks. Regardless of whether the household had children, house value and fixed assets had no significant influence on livelihood strategy. According to the analysis results, we put forward the suggestions that government departments increase investment in infrastructure and make loan policies more favorable for farmers so as to encourage rural able-person to use their social networks to actively establish businesses at migrant destinations.

19 February 2019 in Sustainable Development
Verified
Journal Article
Closed access
PDF file
SGShili Guo
Shili Guo
LLLei Lin
Lei Lin
Shaoquan LiuShaoquan Liu
Shaoquan Liu
YWYali Wei
Yali Wei
DXDingde Xu
Dingde Xu
SSShenglin Su
Shenglin Su

Dingde XuDingde Xu
Dingde Xu
ELEnlai Liu
Enlai Liu
XWXuxi Wang
Xuxi Wang
HTHong Tang
Hong Tang
Shaoquan LiuShaoquan Liu
Shaoquan Liu
Earthquake disaster insurance can effectively reduce the impact of earthquake disasters on rural households. Exploring rural households’ willingness to purchase earthquake disaster insurance in earthquake disaster areas provides an understanding of the motivations underlying the implementation of an insurance policy. However, few studies have examined the perspectives of rural households, in order to explore the correlations between the rural households’ livelihood capital, their disaster risk perception, and their willingness to purchase earthquake disaster insurance. A cross-sectional survey data including 241 rural households from the most severe disaster counties (cities) during the 5 • 12 Wenchuan earthquake was examined with regard to rural households’ livelihood and disaster risk perception, and ordinal logistic regression models were constructed to explore rural households’ willingness to purchase earthquake disaster insurance, as well as the driving mechanism behind this willingness. The results showed that 34.44% of rural households were very willing to purchase earthquake disaster insurance, and 7.05% of rural households were very reluctant to purchase earthquake insurance. Rural households’ livelihood capital and risk perceptions were the most important factors affecting their willingness to purchase earthquake disaster insurance. Rural households with higher scores on natural capital, physical capital, possibility, and worry were more likely to purchase earthquake disaster insurance. Specifically, keeping all other variables constant, every one unit increase in nature capital and physical capital corresponded to an increase in the odds of willingness to purchase earthquake disaster insurance by a factor of 0.14 and 0.06, respectively; every one unit increase in possibility and worry corresponded to an increase in the odds of willingness to purchase earthquake disaster insurance by a factor of 0.03 and 0.04, respectively. This study contributes to the current literature by increasing the understanding of the relationships between Chinese rural households’ livelihood capital and risk perceptions, and their willingness to purchase earthquake disaster insurance.

Kaijing XueKaijing Xue
Kaijing Xue
Shili GuoShili Guo
Shili Guo
YLYi Liu
Yi Liu
Shaoquan LiuShaoquan Liu
Shaoquan Liu
Dingde XuDingde Xu
Dingde Xu
Individual perception of disaster risk is not only the product of individual factors, but also the product of social interactions. However, few studies have empirically explored the correlations between rural residents’ flat social networks, trust in pyramidal channels, and disaster-risk perceptions. Taking Sichuan Province—a typical disaster-prone province in China—as an example and using data from 327 rural households in mountainous areas threatened by multiple disasters, this paper measured the level of participants’ disaster-risk perception in the four dimensions of possibility, threat, self-efficacy, and response efficacy. Then, the ordinary least squares method was applied to probe the correlations between social networks, trust, and residents’ disaster-risk perception. The results revealed four main findings. (1) Compared with scores relating to comprehensive disaster-risk perception, participants had lower perception scores relating to possibility and threat, and higher perception scores relating to self-efficacy and response efficacy. (2) The carrier characteristics of their social networks significantly affected rural residents’ perceived levels of disaster risk, while the background characteristics did not. (3) Different dimensions of trust had distinct effects on rural residents’ disaster-risk perceptions. (4) Compared with social network variables, trust was more closely related to the perceived level of disaster risks, which was especially reflected in the impact on self-efficacy, response efficacy, and comprehensive perception. The findings of this study deepen understanding of the relationship between social networks, trust, and disaster-risk perceptions of rural residents in mountainous areas threatened by multiple disasters, providing enlightenment for building resilient disaster-prevention systems in the community.