Suchergebnisse

AbstractBased on the 2004–2015 China Health and Nutrition Survey (CHNS) data, this article examines the effect of minimum wages on household income distribution. The results show that minimum wage increases significantly reduce the probability of per capita household net income falling below the poverty threshold, indicating that minimum wage can play a role in poverty reduction. Furthermore, we find that minimum wages significantly reduce the probability of per capita household income being 0–3 times lower than the poverty threshold, but have little effect on households with per capita net income more than 3 times the poverty threshold, which means that minimum wage increases can reduce household income inequality. We also find heterogeneous effects of minimum wage increases on household income distribution across gender, education, hukou, and age of household heads. Finally, we show that minimum wage increases play a role in regulating household income distribution by increasing the wages of employed individuals in households.

Since the end of 1996, Chinese agriculture has produced a surplus of many major products, which has led to sharp decreases in farm prices and the stagnation of farmers' income. To deal with these problems, the Chinese government has called for a 'strategic adjustment' in the structures of agriculture and the rural economy. The goals of this strategic adjustment are to meet changing market demands and increase farmers' incomes by improving efficiency in resource allocation among regions and sub-sectors, and by increasing the variety and improving the quality of farm product. A major component of the strategic adjustment is the restructuring of the grain sector, which still accounts for a lion's share of the crops sector in general. Re-allocation of the production of each major grain crop among the regions on the basis of regional comparative advantage is likely to increase average yields and decrease average costs. Thus, improved efficiency in resource allocation will bring about increases in farmers' incomes. Also, since competition in the world commodity market is largely based on price, any significant reduction in China's grain production costs will improve its position in the world grain market. It is widely agreed that years of government intervention and underdeveloped infrastructure have prevented regional comparative advantages in the grain sector from being realised. For the same reasons, inter-regional trade and international trade also do not reveal yes regional comparative advantages. Thus, domestic resource cost (DRC) is used as a measure of underlying, but not yet realised, regional comparative advantages in the Chinese grain sector. The purpose of this study is to make suggestions regarding the desired direction for structural adjustment of grain production in each province, and to discuss the implications of the proposed restructuring.

AbstractThe rapid development of farmers' cooperatives in rural China cannot be separated from government support. To ensure the growth of farmers' cooperatives, the Chinese government uses it as a key performance indicator for its local institutions. Superficially, rural China's cooperative population and membership size witnessed rapid growth during the first decade after the Farmers' Specialized Cooperatives Law was enacted in 2007; however, such government intervention also leads to non‐standard phenomena due to market distortion. Using nationally representative survey data from 504 cooperatives in Jiangsu, Jilin, and Sichuan provinces, this paper provides a reliable estimate of the "shell cooperative" rate around 2014. The empirical study sheds further light on the role of government during the period of rapid but chaotic growth by a subset containing 241 marketing cooperatives. Results show that direct administrative intervention leads to the emergence of many shell cooperatives (approximately 37%). Further study also confirms that task‐oriented policy support is only positively associated with the nominal coverage ratio but has no significant relationship with cooperatives' function. This study provides new insights into the formation of shell cooperatives and suggests that direct administrative intervention may not be a good strategy for promoting the sustainable development of farmers' cooperatives.

AbstractAutomated driving (AD) is one of the most significant technical advances in the transportation industry. Its safety, economic, and environmental benefits cannot be realized if it is not used. To explain, predict, and increase its acceptance, we need to understand how people perceive and why they accept or reject AD technology. Drawing upon the trust heuristic, we tested a psychological model to explain three acceptance measures of fully AD (FAD): general acceptance, willingness to pay (WTP), and behavioral intention (BI). This heuristic suggests that social trust can directly affect acceptance or indirectly affect acceptance through perceived benefits and risks. Using a survey (N = 441), we found that social trust retained a direct effect as well as an indirect effect on all FAD acceptance measures. The indirect effect of social trust was more prominent in forming general acceptance; the direct effect of social trust was more prominent in explaining WTP and BI. Compared to perceived risk, perceived benefit was a stronger predictor of all FAD acceptance measures and also a stronger mediator of the trust–acceptance relationship. Predictive ability of the proposed model for the three acceptance measures was confirmed. We discuss the implications of our results for theory and practice.

AbstractSelf‐driving vehicles (SDVs) promise to considerably reduce traffic crashes. One pressing concern facing the public, automakers, and governments is "How safe is safe enough for SDVs?" To answer this question, a new expressed‐preference approach was proposed for the first time to determine the socially acceptable risk of SDVs. In our between‐subject survey (N = 499), we determined the respondents' risk‐acceptance rate of scenarios with varying traffic‐risk frequencies to examine the logarithmic relationships between the traffic‐risk frequency and risk‐acceptance rate. Logarithmic regression models of SDVs were compared to those of human‐driven vehicles (HDVs); the results showed that SDVs were required to be safer than HDVs. Given the same traffic‐risk‐acceptance rates for SDVs and HDVs, their associated acceptable risk frequencies of SDVs and HDVs were predicted and compared. Two risk‐acceptance criteria emerged: the tolerable risk criterion, which indicates that SDVs should be four to five times as safe as HDVs, and the broadly acceptable risk criterion, which suggests that half of the respondents hoped that the traffic risk of SDVs would be two orders of magnitude lower than the current estimated traffic risk. The approach and these results could provide insights for government regulatory authorities for establishing clear safety requirements for SDVs.