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Although China has instituted compulsory education through Grade 9, it is still unclear whether students are, in fact, staying in school. In this paper, the authors use a multi-year (2003–2011) longitudinal survey data set on rural households in 102–130 villages across 30 provinces in China to examine the extent to which students still drop out of school prior to finishing compulsory education.

To examine the correlates of dropping out, the study uses ordinary least squares and multivariate probit models.

Dropout rate from junior high school was still high (14%) in 2011, even though it fell across the study period. There was heterogeneity in the measured dropout rate. There was great variation among different regions, and especially among different villages. In all, 10% of the sample villages showed extremely high rates during the study period and actually rose over time. Household characteristics associated with poverty and the opportunity cost of staying in school were significantly and negatively correlated with the completion of nine years of schooling.

The findings of this study suggest that China needs to take additional steps to overcome the barriers keeping children from completing nine years of schooling if they hope to either achieve their goal of having all children complete nine years of school or extend compulsory schooling to the end of twelfth grade.

The authors seek to measure the prevalence of both compulsory education rates of dropouts and rates of completion in China. The study examines the correlates of dropping out at the lower secondary schooling level as a way of understanding what types of students (from what types of villages) are not complying with national schooling regulations. To overcome the methodological shortcomings of previous research on dropout in China, the study uses a nationally representative, longitudinal data set based on household surveys collected between 2003 and 2011.

China's agricultural sector has developed very rapidly in the past 30 years and agricultural technological progress is deemed one of the most substantial factors leading to its rapid agricultural GDP growth. The purpose of this paper is to assess the impacts of China's agricultural technological changes on its regional disparity.

The study uses a computable general equilibrium (CGE) model of multiple regions and multiple sectors to investigate the impacts of agricultural technological changes on regional disparity. The CGE model structure includes production side, demand side, and market clearing conditions.

The results suggest that agricultural technological changes significantly reduced China's agricultural regional disparity and accounted for 40 percent reduction in agricultural regional disparity in terms of agricultural GDP per capita. Agricultural technological changes, however, led to an increase in China's overall regional disparity and accounted for 6 percent increase in its overall regional disparity in terms of per capita GDP.

China's GDP has been growing very rapidly since 1978 and agricultural GDP has been playing a decreasing role in China's overall GDP. Regional disparity in non‐agricultural GDP per capita overweighted the equalization of agricultural GDP per capita. The results imply that the Chinese government should resort more to non‐agricultural development to fight against the enlarging regional disparity.

China's agricultural technological changes have led to an increase in China's overall regional disparity while the changes have significantly reduced China's agricultural regional disparity.

The impacts of climate change on agricultural production in the People’s Republic of China’s (PRC) are significant, and differ across regions and crops. The substantial regional differences will induce changes in agricultural interregional trade pattern. The purpose of this paper is to investigate the climate change impacts on China’s agricultural interregional trade pattern.

The paper will use the computable general equilibrium (CGE) model to assess the impacts of climate change on the PRC’s agricultural interregional trade flows. The CGE model consists of seven Chinese regions and the rest of the world and six commodities.

The results indicate that northwest, south, central, and northeast PRC will see increases in the outflows of agricultural products in 2030 and 2050. Conversely, outflows from east, north, and southwest PRC will decrease. Agricultural products handling and transportation facilities need to be repositioned to address the changes in agricultural trade flows.

Studies on the impacts of climate change on the PRC’s agriculture have been increasing. To the best of our knowledge, however, no previous studies have assessed the impacts of climate change on the PRC’s agricultural interregional trade flows. This paper aims to fill this gap in the literature.

This paper aims to investigate the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. The paper highlights the regional differences of impacts by estimating output elasticities (with respect to climate change) for different grain crops and different regions.

The paper uses production function to investigate the responses of grain output to climate variables as well as other traditional input variables. The use of production function approach allows us to do away with the competitive land market assumption as required in the Ricardian approach. The paper will use interaction terms of climate variables and regional dummies to capture the regional differences of climate change impact on grain crops.

The results indicate that the overall negative climate impacts on the PRC's grain output range from −0.31 to −2.69 percent in 2030 and from −1.93 to −3.07 percent in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions.

This paper addresses the limitations of existing literature by highlighting regional differences and crop varieties using the most recent nationwide rural household survey data. The results indicate pronounced regional differences and crop differences in the impacts of climate changes on PRC's grain output.

What this paper aims to tackle is how much did the return of rural migrant labor during the financial crisis affect China's GDP and the growth rate of the national economy.

This paper constructs a computable general equilibrium (CGE) model and uses data of China's 2007 Input-Output Table to analyze the impact of the return of rural migrant labor on China's economy during the financial crisis.

The results show that the return of rural migrant labor during the financial crisis had substantial impacts on China's economy. The national GDP decreased by about 0.499-1.463 percent, mainly due to the number of rural labor who migrated from the non-agricultural sector to agriculture. Of the major sectors of economy, the manufacturing, construction and other services sectors were the most affected.

This paper assesses the impacts of return of rural migrant labor during the financial crisis on China's GDP and the growth rate of the national economy.

The paper aims to assess the impact of agricultural output changes on the general price level over time with China as an example.

A simple numerical global general equilibrium (GE) model of two regions (China and the rest of the world) and three commodities (agriculture, manufacturing goods, and services) is used to assess the impacts of agricultural output changes on the overall economy price changes. The numerical GE model of this paper consists of production, final consumption, and market clear conditions. The results are generated with the GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.

The results suggest that China witnessed a declining influence of agricultural output changes on general price changes. The contribution of given agricultural output change on the general price change in 2005 was merely less than 60 percent of that in 1987, which in turn implies that macro policies targeting to curb general inflation via boosting agricultural output will be less effective as those of 20 years ago.

China's policy makers should rely less and less on promoting agricultural output policies to fight against general inflation and should resort to non‐agricultural policies.

The paper argues that the influence of agriculture on the China's general price indices has been weakening along with China's economic development with a numerical GE model calibrated to aggregated China's input‐output tables of 1987, 1997, and 2005.

The purpose of this paper is to investigate the effects of pre-existing mood valence, mood arousal and ad-evoked arousal on response to television and print advertising. It combined the arousal-as-information and arousal regulation approaches into a single arousal congruence theory. It sought an extended application of arousal congruence theory in the persuasion domain with several novel findings.

Four experiments were conducted to test the hypotheses. Analysis of variance, multivariate analysis of variance and pairwise comparison were used for data analysis.

Consumer judgment is a joint function of mood valence, mood arousal and ad-evoked arousal. Positive mood does not always generate more positive evaluations and vice versa. Ad-evoked arousal can more strongly influence consumers’ judgments when they are in a negative rather than a positive mood. Furthermore, consumers in a positive mood rate a target more favorably when the ad-evoked arousal level is congruent with their current arousal state, while those in a negative mood rate a target more favorably when the ad-evoked arousal level is incongruent with their current state of arousal. Arousal polarization intensifies such congruence (and incongruence) effects.

The findings reveal a mood-lifting opportunity based on ad-evoked arousal. This has implications for the design of advertisements, promotional materials, marketing campaigns and retailing environments.

This paper’s findings highlight unexpected effects of stimulus-evoked arousal in persuasion when consumers are exposed to multiple emotional cues from the environment. The paper demonstrates the utility of an integrated model, explaining the relative importance of valence and arousal in influencing consumer judgments. It has been the first to examine arousal congruence, arousal polarization and arousal regulation mechanisms jointly.

Drawing on signaling theory and the “signal transmission–interpretation–feedback” framework, this study explores the effects of perceived distributive justice and respect from managers on nurses' work meaningfulness and work effort in public hospitals in China and examines the moderating role of work self-efficacy.

We collected 341 paired questionnaires for nurses and managers from four public hospitals in China. The data were analyzed by structural equation modeling and hierarchical regression analysis.

Distributive justice and managers' respect for employees are positively related to work meaningfulness. Additionally, work self-efficacy negatively moderates this relationship. Work meaningfulness is positively related to work effort and fully mediates the relationships between perceived distributive justice and respect from the manager and work effort.

This study provides useful insights for healthcare organizations to improve nurses' work meaningfulness from the perspectives of their material and emotional needs, according to their work self-efficacy characteristics, thus promoting their work effort. The findings offer important guidance for improving the effectiveness of grass-roots human resources to cope with unpredictable situations such as the COVID-19 pandemic.

This study focuses on the organization's environmental factors that affect the primary staff's work meaningfulness. Further, it analyzes the differences in signal interpretation among nurses with different work self-efficacy characteristics, thus providing new insights into work meaningfulness. Through manager–nurse pairing data, it reveals the important role of work meaningfulness in motivating work effort.

Food recalls are more potentially harmful than other product recalls. This research aimed to investigate the effect of the recall strategies of food corporations on their brand image and consumers’ purchase intention.

This study adopts a between-subjects experiment of 2 (corporate recall strategy: voluntary recall, mandatory recall) *3 (food recall level (severity): high, medium, low), and recruits 224 consumers involved in cereal product recall in China. The authors inductively examine the effects of voluntary and mandatory recall on consumer perception and behavior intentions in the recall process.

Voluntary recall (vs. mandatory recall) will improve corporate brand responsibility image (vs. brand ability image) and consumers’ purchase intention to focal brand (vs. competitive brand and organic brand). Perceived corporate legitimacy and food safety play a mediating role. The former has a greater positive impact on brand image, and the latter has a more significant favorable influence on purchase intention. Furthermore, recall level has a moderating effect on the association between corporate recall strategy and perceived food safety, but is not significant in the effect of corporate recall strategy on perceived corporate legitimacy.

Previous inconsistent conclusions cannot effectively guide food corporations to manage recall strategies. This paper demonstrates the response mechanism of the recall strategy from the perspective of corporate social responsibility, which is beneficial to food safety crisis management and research.