Evaluating the Impact of Retributive Justice on Citizen Evaluations of Government Authorities in Rural China

2021 ◽  
pp. 103-158
Author(s):  
Natuya Zhuori ◽  
Yu Cai ◽  
Yan Yan ◽  
Yu Cui ◽  
Minjuan Zhao

As the trend of aging in rural China has intensified, research on the factors affecting the health of the elderly in rural areas has become a hot issue. However, the conclusions of existing studies are inconsistent and even contradictory, making it difficult to form constructive policies with practical value. To explore the reasons for the inconsistent conclusions drawn by relevant research, in this paper we constructed a meta-regression database based on 65 pieces of relevant literature published in the past 25 years. For more valid samples to reduce publication bias, we also set the statistical significance of social support to the health of the elderly in rural areas as a dependent variable. Finally, combined with multi-dimensional social support and its implications for the health of the elderly, meta-regression analysis was carried out on the results of 171 empirical studies. The results show that (1) subjective support rather than objective support can have a significant impact on the health of the elderly in rural areas, and there is no significant difference between other dimensions of social support and objective support; (2) the health status of the elderly in rural areas in samples involving western regions is more sensitive to social support than that in samples not involving the western regions; (3) among the elderly in rural areas, social support for the older male elderly is more likely to improve their health than that for the younger female elderly; and (4) besides this, both data sources and econometric models greatly affect the heterogeneity of the effect of social support on the health of the elderly in rural areas, but neither the published year nor the journal is significant. Finally, relevant policies and follow-up studies on the impact of social support on the health of the elderly in rural areas are discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lishuang Wang ◽  
Fan Zhang ◽  
Zehao Wang ◽  
Qiu Tan

PurposeThe purpose of this paper is to propose and verify the influence mechanism of various kinds of infrastructure investment on farmers' income in rural China. It further analyzes the effect of rural infrastructure investment on rural economic transformation.Design/methodology/approachThis research is used to GMM model to verify the relationship between infrastructure investment and farmers' income; furthermore, the mediating effect model is used to verify the linear conduction mechanism, and panel threshold model is used to verify the nonlinear conduction mechanism.FindingsThe results show that: (1) Rural infrastructure investment can indirectly affect farmers' income by changing land efficiency and land use structure; (2) The impact of infrastructure investment on farmers' income is nonlinear; (3) Increasing infrastructural investment of productivity and transportation will contribute to accelerating the transformation of rural economy.Originality/valueThis paper expands the research on the impact of rural infrastructure investment on farmers' income; it analyzes the inner mechanism and enriches the research contents in this field; the influence of various infrastructure investment on rural economic transformation is further discussed; it provides policy suggestions and theoretical basis for accelerating the transformation of China's rural economy.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S880-S880
Author(s):  
Zhiyong Lin

Abstract As the processes of urbanization and globalization have intensified across the world, a burgeoning literature has documented the impact of emigration on the health of family members left behind in emigrant communities. Although the association between children’s migration and parental well-being is well documented, few have examined the health implications of children’s migration in the milieu of multiple children and further differentiated between children’s short-term and long-term migration. Therefore, I argue that it is not the geographic locality of a single child but the composition of all children’s location that matters. I further suggest that the impact of children’s migration on parental wellbeing is conditioned on the duration of children’s migration. Using a six waves longitudinal data (2001-2015) collected in rural China, this paper compares mental health (measured as depressive symptoms) trajectories of old adults (aged 60 and older) across different compositions of local and migrant children over a 14-year span. Results from growth curve models show that parents having more migrant children relative to local children experience a more rapid increase in depressive symptoms. In addition, older adults who have their most children migrate away for three or more waves of data have experienced the steepest rate of increase in depressive symptoms. These findings provide new evidence to support the life course processes of mental health disparities among older adults from the perspective of intergenerational proximity.


2017 ◽  
Vol 9 (2) ◽  
pp. 255-269
Author(s):  
Ai Yue ◽  
Yaojiang Shi ◽  
Renfu Luo ◽  
Linxiu Zhang ◽  
Natalie Johnson ◽  
...  

Purpose Although access to safe drinking water is one of the most important health-related infrastructure programs in the world, drinking water remains a large problem in China today, especially in rural areas. Despite increased government investment in water resource protection and management, there is still an absence of academic studies that are able to document what path the investment has taken and whether it has had any tangible impact. The purpose of this paper is to analyze the impact of drinking water investment on drinking water in China. Design/methodology/approach The authors make use of nationally representative data from 2005 and 2012 to measure the impact of drinking water investment among 2,028 rural households in 101 villages across five provinces. Both ordinary least squares regression and probit regression are used to analyze the correlates and the impact of drinking water investment. Findings The authors demonstrate that water quality was likely a significant problem in 2004 but that China’s investment into drinking water appears to have resulted in initial improvements during the study period. The authors show that the most significant change came about in terms of hardware: villages that received more drinking water investment now have more piped tap water and more access to water treatment infrastructure (disinfecting and filtering facilities). High rates of rural resident satisfaction with drinking water suggest the effects of drinking water investment are being felt at the village level. Originality/value To the authors’ knowledge, this is the first empirical study on drinking water investment over time in rural China using nationally representative data.


2019 ◽  
Author(s):  
Jay Luo

Poverty alleviation is a hallmark of post-revolution Chinese policymaking. Since 1978, the Communist Party of China (CPC) has implemented successive waves of poverty alleviation policies whose effects have become the focus of an ever-increasing body of academic literature. This paper reviews this diverse but limited literature that evaluates the impact of the CPC’s poverty reduction programs through four major channels, namely fiscal investment programs, social safety nets, rural governance on the village-, county- and provincial level, and the relocation of rural populations from destitute regions. This paper aims to synthesize results and evaluate whether and how the abovementioned poverty alleviation programs have had distinct positive or negative impacts on regional development outcomes. Furthermore, I highlight contradictions in empirical findings to motivate the discussion about contextual importance when designing and implementing future poverty alleviation programs. Finally, I suggest that an exhaustive and critical appraisal of the empirical strategies used in this literature would further the development and application of more accurate and informative methodologies.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tingting Zhang ◽  
Xingrong Shen ◽  
Rong Liu ◽  
Linhai Zhao ◽  
Debin Wang ◽  
...  

Abstract Background In China, the primary health care (PHC) system has been designated responsible for control and prevention of COVID-19, but not treatment. Suspected COVID-19 cases presenting to PHC facilities must be transferred to specialist fever clinics. This study aims to understand the impact of COVID-19 on PHC delivery and on antibiotic prescribing at a community level in rural areas of central China. Methods Qualitative semi-structured interviews were conducted with 18 PHC practitioners and seven patients recruited from two township health centres and nine village clinics in two rural residential areas of Anhui province. Interviews were transcribed verbatim and analysed thematically. Results PHC practitioners reported a major shift in their work away from seeing and treating patients (due to government-mandated referral to specialist Covid clinics) to focus on the key public health roles of tracing, screening and educating in rural areas. The additional work, risk, and financial pressure that PHC practitioners faced, placed considerable strain on them, particularly those working in village clinics. Face to face PHC provision was reduced and there was no substitution with consultations by phone or app, which practitioners attributed to the fact that most of their patients were elderly and not willing or able to switch. Practitioners saw COVID-19 as outside of their area of expertise and very different to the non-COVID-19 respiratory tract infections that they frequently treated pre-pandemic. They reported that antibiotic prescribing was reduced overall because far fewer patients were attending rural PHC facilities, but otherwise their antibiotic prescribing practices remained unchanged. Conclusions The COVID-19 pandemic had considerable impact on PHC in rural China. Practitioners took on substantial additional workload as part of epidemic control and fewer patients were seen in PHC. The reduction in patients seen and treated in PHC led to a reduction in antibiotic prescribing, although clinical practice remains unchanged. Since COVID-19 epidemic control work has been designated as a long-term task in China, rural PHC clinics now face the challenge of how to balance their principal clinical and increased public health roles and, in the case of the village clinics, remain financially viable.


2014 ◽  
Author(s):  
Hongmei Yi ◽  
Yingquan Song ◽  
Chengfang Liu ◽  
Xiaoting Huang ◽  
Linxiu Zhang ◽  
...  

2017 ◽  
Vol 9 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Yuanxiang Liu

Purpose The purpose of this paper is to identify the determinants of China’s rural households’ non-farm participation. The authors pay special attention to the effect of potential income differential on this participation. Design/methodology/approach The data used in this study come from a household survey conducted in Hubei Province. The authors estimate participation equation and income equation, respectively, then introduce potential income differential simulated in participation equation to examine its effect on non-farm participation. Findings Potential income differential serves as the major pull factor that favors non-farm participation. Education, proximity to a city and specialized commercial farming are crucial in helping rural households to participate in non-farm production; while the land shortage or the labor surplus act as the push factor in non-farm participation. Better quality of land reduces the household’s propensity to participate in non-farm activities. Moreover, the income gap between households that participate in non-farm activities and pure farmers is mainly determined by the differences in household characteristics. Originality/value The authors use the method of “switching regression and structural probit” to examine the impact of potential income differential on non-farm participation, and simulate the response of the participation probability to the change of potential income differential. The authors also analyze the sources of income gap between non-farm and farm households using Oaxaca decomposition.


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