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The purpose of this paper is to study the effects of introducing a health insurance program in rural China between 2004 and 2006, the New Cooperative Medical Scheme (NCMS).

The authors apply difference in difference and propensity score matching methods (PSM-DID) to a widely used panel dataset, the China Health and Nutrition Survey (CHNS). Findings are robust across several treatment and comparison groups used in previous NCMS studies.

Households who participated in NCMS increased the use of preventive services and western medicine, while lowering the use of traditional Chinese medicine. NCMS also reduced hospital use, out of pocket payments, travel time to healthcare facilities and waiting time to see doctors. The authors estimate that reductions in travel and waiting time saved roughly 52m U.S. dollars in 2006.

Previously divergent findings on health insurance effects may be due to researchers studying health insurance across different healthcare delivery systems. In addition, in estimating how health insurance access affects healthcare costs, the authors should consider economic costs related to the time needed to access health services.

The authors study how health insurance access affects patients' choice of providers and economic costs to accessing health care services, outcomes that have not received much attention previously. The authors depart from previous NCMS studies by comparing several different approaches to identifying treatment and control groups when applying PSM-DID.

This paper explores the effect of financial support on farmer cooperative development in the Chinese context, aiming to evaluate the effectiveness of public inputs and draw implications for the sustainable development of cooperatives. The variance of the effect in different sectors, i.e. crop, forestry, husbandry, fishery and services, is investigated.

Provincial-level panel data from 2007 to 2017 are used for this study. A linear dynamic panel regression model is estimated using multiple estimation methods, i.e. the generalized method of moments (GMMs), fixed-effect model and ordinary least squares (OLS) are applied.

The empirical analyses indicate that the role of the government is important for the development of farmer cooperatives but limited in some specific aspects. First, the coverage of financial support is positively associated with the growth of cooperative population and membership size, but the strength of financial support, measured by the total amount of financial support divided by local agricultural gross domestic product (GDP), has no statistically significant effects on the development of cooperatives. Second, financial support does not exhibit significant influence on the revenue of cooperatives. Third, the magnitude of the effect of government support on cooperative development is heterogeneous across different sectors.

The research study adds to the institutional economics literature on the association between institutional environment and organization development by focusing on a particular and an important type of organization, i.e. farmer cooperatives. It is one of the attempts and a most extensive study to empirically investigate the role of financial support in the development of farmer cooperatives.

Farm income in the agricultural sector is susceptible to natural and market risks. A large body of literature has studied the effects of cooperative membership on household welfare, technical efficiency, productivity and production behavior, yet little has been known about the impact of cooperative membership on farm income volatility. This paper aims to fill this research gap by investigating the relationship between cooperative membership and farm income volatility of Chinese pig farmers and drawing policy implications.

This paper examines the effect of cooperative membership on farm income volatility, using data from a two-round survey of pig farmers in China. The authors employ an endogenous switching regression model to address the selection bias issues associated with unobserved factors simultaneously affecting farmers' participation in agricultural cooperatives and income earning activities.

Using household panel from a two-round survey of 193 pig farmers in China, this analysis highlights two key findings: (1) agricultural cooperative membership has significant and positive effect on farm income stability and (2) the impact of cooperative membership on farm income stability varies with production scale.

This research makes two contributions to the literature. First, this study contributes to the scant literature exploring the relationship between agricultural cooperatives and farm income stability. Second, to the best of the authors' knowledge, this is the first study that explores such relationship in a livestock sector. The pig sector in China and around the developing world has been increasingly challenged by multifaceted risks (e.g. price fluctuations, epidemic diseases, environmental regulations), and understanding the role of agricultural cooperatives in farm income stability of pig farmers is of great practical and policy significance.

Internet use has become particularly prevalent among adolescents, prompting much thought and concern about both its potential benefits and adverse effects on adolescent learning outcomes. Much of the empirical literature on the impact of Internet use on adolescent learning outcomes is mixed, and few studies examine the causal relationship between the two in rural China. In order to bridge these gaps, we use empirical analysis to investigate the effect of Internet use on the learning outcomes of adolescents in rural China.

We use fixed effect models with samples drawn from a large nationally representative dataset (the China Family Panel Studies—CFPS) to identify the causal impacts of Internet use on the learning outcomes of three cohorts (Cohort A (N = 540), Cohort B (N = 287) and Cohort C (N = 827)) of adolescents in rural China.

The results of the descriptive analysis show a continued increase in the number of adolescents accessing the Internet and the amount of time they spend online. The results of the fixed effect models show that Internet use has positive (in many of the analyses), but mostly insignificant impacts, on the learning outcomes of adolescents. In the sets of results that find significant associations between Internet use and learning outcomes, the measured effects are moderate.

This study investigates the causal relationship between Internet use and adolescent learning outcomes in rural China. The findings claim that there is not a great need to worry about adverse effects of Internet use on adolescent learning development. Attention, however, should focus on seeking ways to improve the positive effects of the Internet use on adolescent learning outcomes. The study will provide a reference and experience for the development of education and the Internet in rural areas and promote the integrated development of urban and rural areas in China.