Yunxia Liu

Dr. Yunxia Liu

Zhou Enlai School of Government, Nankai University, Tianjin 300350, China
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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YWYan Wang
Yan Wang
FHFeng Hao
Feng Hao
YLYunxia Liu
Yunxia Liu
Population change and environmental degradation have become two of the most pressing issues for sustainable development in the contemporary world, while the effect of population aging on pro-environmental behavior remains controversial. In this paper, we examine the effects of individual and population aging on pro-environmental behavior through multilevel analyses of cross-national data from 31 countries. Hierarchical linear models with random intercepts are employed to analyze the data. The findings reveal a positive relationship between aging and pro-environmental behavior. At the individual level, older people are more likely to participate in environmental behavior (b = 0.052, p < 0.001), and at the national level, living in a country with a greater share of older persons encourages individuals to behave sustainably (b = 0.023, p < 0.01). We also found that the elderly are more environmentally active in an aging society. The findings imply that the longevity of human beings may offer opportunities for the improvement of the natural environment.

1 April 2021 in Applied Geography
Verified
Journal Article
Closed access
YLYunxia Liu
Yunxia Liu
SYSihang Yu
Sihang Yu
TSTao Sun
Tao Sun

1 March 2019 in Environmental Impact Assessment Review
Verified
Journal Article
Closed access
YLYunxia Liu
Yunxia Liu
Yujie LuYujie Lu
Yujie Lu
ZHZaisheng Hong
Zaisheng Hong
VNVictor Nian
Victor Nian
TLTian Sheng Allan Loi
Tian Sheng Allan Loi

5 April 2008 in Frontiers of Forestry in China
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Journal Article
Closed access
PDF file
LPLihua Peng
Lihua Peng
Chen S.ShuangChen S.Shuang
Chen S.Shuang
YLYunxia Liu
Yunxia Liu
JWJin Wang
Jin Wang

9 August 2020 in Sustainability
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Journal Article
Open access
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XGXiaochen Gong
Xiaochen Gong
YLYunxia Liu
Yunxia Liu
TSTao Sun
Tao Sun
Climate change governance has attracted increasing academic interest. However, holistic reviews on the dynamic complexity and stability of climate change governance have received little attention. This study addresses this research gap by conducting a structurally comparative analysis between China and the United States based on the “polity–policy–politics” framework. Three analytical facets are identified for each dimension of the framework, including institutional settings, the nature of policy mechanisms used in climate change practices, and the degree of multi-actors’ involvement under two governance scenarios. Results show that climate change governance in the two countries differs substantially. The process of climate governance in China is driven by strong leadership at the national level alongside policy continuity, whereas well-functioning market mechanisms and robust regulatory systems are still lacking. A more meaningful involvement of social forces is also critically needed when addressing increasingly complex and uncertain climate change. By contrast, the US federal climate policies are considered inadequate compared with sub-national actions and persistent efforts of non-state actors, to which the success of climate practices is largely attributed. This study systematically uncovers the divergence of climate mitigation under different political–institutional contexts, and evaluates the effectiveness of governance arrangement in the two countries, which helps policymakers to understand the potential of improving the performance of climate change governance.

27 March 2023 in Neural Computing and Applications
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Journal Article
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JLJunmin Liu
Junmin Liu
TTTian Tian
Tian Tian
YLYunxia Liu
Yunxia Liu
SHSufeng Hu
Sufeng Hu
MLMengyao Li
Mengyao Li