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This paper employs nationwide, large-scale field survey data to provide the first empirical evidence on the impact of human educational capital on the acquisition of health entitlement among Chinese migrant workers. The findings of this study hold significant practical implications for the formulation of policies aimed at improving the health protection of migrant workers, as well as for socioeconomic policies during China's transitional period.

Using the IVProbit model, this research examines how human educational capital influences the attainment of health entitlement among migrant workers in China by analyzing the impact and mechanism of education on health entitlement. The study is based on the China Migrants Dynamic Survey (CMDS) data from 2018, which include 100,177 observations.

For migrant workers in China, higher levels of education have a significant positive effect on the acquisition of health entitlements, including medical insurance, health records and health education. The positive impact of human educational capital on health entitlements is more significant for non-provincial cities and young-generation migrant workers. The results also show that human educational capital can influence the acquisition of health entitlements through mediators such as financial status, social integration and health status.

This study represents the first empirical attempt to evaluate the influence of human educational capital on the access of migrant workers in China to health rights and interests. Additionally, the study develops a theoretical framework to examine how the impact of human educational capital varies across migrant workers with different characteristics and their access to health entitlements.

The purpose of this paper is to examine the adverse selection in participation in the New Rural Cooperative Medical Scheme (NRCMS), as well as in outpatient and inpatient service utilization, in Chaoyang, Beijing, China.

Probit model is established to test whether the rural Hukou family member in Combined Household (CH) is statistically different from the Pure Rural Household (PRH) in enrollment in NRCMS. Seemingly Unrelated Regression (SUR) model is adopted to examine the difference in the utilization of outpatient and inpatient between the rural Hukou family members in the two kinds of households.

This paper finds that the rural Hukou family member in CH has more probability to enroll in NRCMS than the counterpart in PRH. In the period of six months, the rural Hukou family member in CH exceeds PRH by 0.73 times in outpatient visit number per capita. The former average spends yuan 157 more in outpatient service and is reimbursed yuan 53 more from NRCMS than the latter. Moreover, on average, rural Hukou family member has no difference in the inpatient service utilization between the two kinds of households in the period of 12 months.

This is the first study to empirically test the adverse selection in China's medical insurance market from the perspective of two different types of households, which are CH and PRH.

The present article presents a first‐look into the hired‐labor market in Chinese household farms using data from a national household survey conducted by the Research Center for the Rural Economy (RCRE) at China's Ministry of Agriculture. More specifically, the purpose of this paper is to evaluate the scale and dispersion of China's farm‐household hired laborers among 15 commodities, and test whether market factors influence labor‐hiring decisions – an expectation of a well‐functioning labor market. This research contributes to the literature concerned with the labor constraints facing Chinese household farms, especially those producing seasonal commodities.

An econometric approach is employed to assess whether Chinese farms that hire labor are responding to market factors using two repeated cross‐sections (2006, 2007) of household survey data collected by the Research Center for Rural Economy at China's Ministry of Agriculture.

The paper finds hired labor use on very small‐scale farms is surprisingly prevalent, in contrast to previously published data. The regression results suggest that labor hiring by Chinese farm households, irrespective of farm size, responds strongly to market signals and resource constraints – more labor will be hired when the wage is lower, when output is higher, and among families with fewer family members available to farm work. And the response is particularly robust for wheat, rice, and maize, whose prices are predominant determinants of the food price index.

This paper is limited in its time‐series dimension and data availability. Despite those limitations, the results hold implications for further understanding China's nascent labor market and the level to which market factors have impacted rural farm households.

Focusing on the as‐of‐yet unstudied market for hired labor on Chinese household farms, the present article makes a contribution by showing that hiring of labor in Chinese agriculture is much more prevalent than previously thought. It suggests that Chinese farm‐households are responding to certain labor‐market factors and that the household response does not weaken as the largest farms are omitted from the model, suggesting that even small farms are heeding market signals.

The purpose of this paper is to analytically predict the on-load field distribution and electromagnetic performance (induced voltage, electromagnetic torque, winding inductances and unbalanced magnetic force) of dual-stator consequent-pole permanent magnet (DSCPPM) machines using subdomain model accounting for tooth-tip effect. The finite element (FE) results are presented to validate the accuracy of this subdomain model.

During the preliminary design and optimization of DSCPPM machines, FE method requires numerous computational resources and can be especially time-consuming. Thus, a subdomain model considering the tooth-tip effect is presented in this paper. The whole field domain is divided into four different types of sub-regions, where the analytical solutions of vector potential in each sub-region can be rapidly calculated. The proposed subdomain model can accurately predict the on-load flux density distributions and electromagnetic performance of DSCPPM machines, which is verified by FE method.

The radial and tangential components of flux densities in each sub-region of DSCPPM machine can be obtained according to the vector potential distribution, which is calculated based on the boundary and interface conditions using variable separation approach. The tooth-tip effect is investigated as well. Moreover, the phase-induced voltage, winding inductances, electromagnetic torque and X-axis/Y-axis components of unbalanced magnetic forces are calculated and compared by FE analysis, where excellent agreements are consistently exhibited.

The on-load field distributions and electromagnetic performance of DSCPPM machines are analytically investigated using subdomain method, which can be beneficial in the process of initial design and optimization for such DSCPPM machines.