li huang

Dr. li huang

College of Economics and Management, Shenyang Agricultural University
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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22 April 2022 in Journal of Affective Disorders
Verified
Journal Article
Closed access
MZMi Zhou
Mi Zhou
Weiming ZhuWeiming Zhu
Weiming Zhu
XSXiaotong Sun
Xiaotong Sun
LHli huang
li huang

7 January 2020 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
LHli huang
li huang
KCKe Chen
Ke Chen
MZMi Zhou
Mi Zhou


MZMi Zhou
Mi Zhou
XSXiaotong Sun
Xiaotong Sun
LHli huang
li huang
GZGuangsheng Zhang
Guangsheng Zhang
KKKaleigh Kenny
Kaleigh Kenny
Scott RozelleScott Rozelle
Scott Rozelle
China’s rapid urbanization in the past several decades have been accompanied by rural labor migration. An important question that has emerged is whether rural labor migration has a positive or negative impact on the depressive symptoms of children left behind in the countryside by their migrating parents. This paper uses a nationally representative panel dataset to investigate whether parental migration impacts the prevalence of depressive symptoms among left-behind children in China. Using DID and PSM-DID methods, our results show that parental migration significantly increases the depression scores of 10 and 11-year-old children by 2 points using the CES-D depression scale. Furthermore, we also find that the negative effect of decreased parental care is stronger than the positive effect of increased income in terms of determining the depressive symptoms status of children in rural China.

9 January 2024 in Ecological Indicators
Verified
Journal Article
Open access
MZMi Zhou
Mi Zhou
WSWeixiao Shao
Weixiao Shao
KJKechen Jiang
Kechen Jiang
LHli huang
li huang

16 March 2022 in International Journal of Public Health
Verified
Journal Article
Open access
MZMi Zhou
Mi Zhou
XSXiaotong Sun
Xiaotong Sun
LHli huang
li huang
Objectives: This study was designed to explore the effect of the New Rural Pension Scheme on depressive symptoms or medical costs induced by depression.Methods: We used the Logit, OLS and 2SLS models to explore the impact of the pension on depression and medical costs. We also adopt the method of quantile regression and discontinuity regression to verify the causal relationship between the New Rural Pension Scheme and depression or medical costs induced by depression of the rural elderly.Results: We have found that the New Rural Pension Scheme decreases depressive symptoms of elderly in rural China (OR = 0.90), and the medical costs induced by depressive symptoms by 4.6%. Regression discontinuity results showed that pension significantly reduced the depressive symptoms (depression) and the medical expenditure caused by depressive symptoms (depression) by using parametric and non-parametric methods, and performing a placebo test. The mediating effect results showed that pension may improve mental health by increasing confidence about the future.Conclusion: We demonstrate that the pension significantly decreased both mental health problems and the medical expenses due to depressive symptoms and depression of elderly in rural China. Therefore, our results suggest that the Chinese government should perfect the New Rural Pension Scheme to eliminate barriers to mental health resources, especially for the rural elderly.