scholarly journals Are the Children of Uneducated Farmers Doubly Doomed? Farm, Nonfarm and Intergenerational Educational Mobility in Rural China

2014 ◽  
Author(s):  
M. Shahe Emran ◽  
Yan Sun
2021 ◽  
Author(s):  
M. Shahe Emran ◽  
Francisco H. G. Ferreira ◽  
Yajing Jiang ◽  
Yan Sun

This paper extends the Becker-Tomes model of intergenerational educational mobility to a rural economy characterized by farm-nonfarm occupational dualism and provides a comparative analysis of rural China and rural India. The model builds a micro-foundation for the widely used linear-in-levels estimating equation. Returns to education for parents and productivity of financial investment in children’s education determine relative mobility, as measured by the slope, while the intercept depends, among other factors, on the degree of persistence in nonfarm occupations. Unlike many existing studies based on coresident samples, our estimates of intergenerational mobility do not suffer from truncation bias. The sons in rural India faced lower educational mobility compared with the sons in rural China in the 1970s to 1990s. To understand the role of genetic inheritance, Altonji et al. (2005) biprobit sensitivity analysis is combined with the evidence on intergenerational correlation in cognitive ability in economics and behavioral genetics literature. The observed persistence can be due solely to genetic correlations in China, but not in India. Father’s nonfarm occupation was complementary to his education in determining a sons’ schooling in India, but separable in China. There is evidence of emerging complementarity for the younger cohorts in rural China. Structural change in favor of the nonfarm sector contributed to educational inequality in rural India. Evidence from supplementary data on economic mechanisms suggests that the model provides plausible explanations for the contrasting roles of occupational dualism in intergenerational educational mobility in rural India and rural China. (Stone Center on Socio-Economic Inequality Working Paper Series)


Crisis ◽  
2010 ◽  
Vol 31 (3) ◽  
pp. 137-142 ◽  
Author(s):  
Jing An ◽  
Michael R. Phillips ◽  
Kenneth R. Conner

Background: In studies about the risk factors for suicidal behavior, the assessment of impulsiveness and aggression often depend on information from proxy informants. Aims: To assess the validity of proxy informants’ reports on impulsiveness and aggression in China. Methods: Modified Chinese versions of the Barratt Impulsiveness Scale (BIS-CV) and the Buss-Perry Aggression Questionnaire (AQ-CV) were administered to 131 suicide attempters treated at a hospital in rural China, to coresident relatives about the attempters, to 131 matched community controls, and to coresident relatives about the controls. Results: BIS-CV and AQ-CV total scores and subscale scores were all significantly higher for suicide attempters than for matched controls. Proxy informants considered subjects slightly more impulsive and aggressive than the subjects reported themselves. Subject-proxy concordance for total BIS-CV and AQ-CV scores were excellent for both attempters and controls (ICCs = 0.76–0.83). Concordance for the three BIS-CV subscales was 0.74–0.81 for attempters and 0.74–0.83 for controls. Concordance for the five AQ-CV subscales was 0.66–0.85 for attempters and 0.56–0.82 for controls. Limitations: Results are based on respondents from a single location in rural China. Conclusions: The results support the validity of the BIS-CV and AQ-CV and of research on suicidal behavior in China that uses proxy-based reports of impulsiveness and aggression.


Crisis ◽  
2014 ◽  
Vol 35 (5) ◽  
pp. 330-337 ◽  
Author(s):  
Cun-Xian Jia ◽  
Lin-Lin Wang ◽  
Ai-Qiang Xu ◽  
Ai-Ying Dai ◽  
Ping Qin

Background: Physical illness is linked with an increased risk of suicide; however, evidence from China is limited. Aims: To assess the influence of physical illness on risk of suicide among rural residents of China, and to examine the differences in the characteristics of people completing suicide with physical illness from those without physical illness. Method: In all, 200 suicide cases and 200 control subjects, 1:1 pair-matched on sex and age, were included from 25 townships of three randomly selected counties in Shandong Province, China. One informant for each suicide or control subject was interviewed to collect data on the physical health condition and psychological and sociodemographic status. Results: The prevalence of physical illness in suicide cases (63.0%) was significantly higher than that in paired controls (41.0%; χ2 = 19.39, p < .001). Compared with suicide cases without physical illness, people who were physically ill and completed suicide were generally older, less educated, had lower family income, and reported a mental disorder less often. Physical illness denoted a significant risk factor for suicide with an associated odds ratio of 3.23 (95% CI: 1.85–5.62) after adjusted for important covariates. The elevated risk of suicide increased progressively with the number of comorbid illnesses. Cancer, stroke, and a group of illnesses comprising dementia, hemiplegia, and encephalatrophy had a particularly strong effect among the commonly reported diagnoses in this study population. Conclusion: Physical illness is an important risk factor for suicide in rural residents of China. Efforts for suicide prevention are needed and should be integrated with national strategies of health care in rural China.


1936 ◽  
Vol 5 (23) ◽  
pp. 248-249
Author(s):  
C. H-S.
Keyword(s):  

Author(s):  
Wenjie Ma ◽  
Minxin He ◽  
Xinyu Zhong ◽  
Shengsong Huang

China’s overall economic growth is, to a great extent, hindered by the lack of economic growth in rural areas. Based on data from the Thousand-Village Survey (2015) of 31 provinces conducted by Shanghai University of Finance and Economics, we conduct this empirical study to analyze the current state of rural financial services and the factors influencing effective demand for loans in rural China. Looking at the demand side, in 2014, only 13.91% farmers had loans, and only 15.53% of them made financial institutions their first choice when they needed loans. Clearly, there is still much to do with regard to inclusive finance. From the perspective of the supply side, only 43.86% of dispersed loans can be categorized as productive loans, further reflecting that the financial services industry does not provide strong support for rural economic growth. Further study shows that the main factors influencing effective demand for productive loans are the population age structure and the rate at which migrant workers return home. Therefore, the "Second-Child" policy and policies that encourage migrant workers to go back home to start businesses are of vital importance in order to raise effective financial demand in rural China.


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