This paper examines the reasoning mechanism behind the consumer acceptance of genetically modified foods (GMFs) in China, and investigates influence of source credibility on consumer acceptance of GMFs. Based on the original Persuasion Model-which was developed by Carl Hovland, an American psychologist and pioneer in the study of communication and its effect on attitudes and beliefs-we conducted a survey using multistage sampling from 1167 urban residents, which were proportionally selected from six cities in three economic regions (south, central, and north) in the Jiangsu province through face to face interviews. Mixed-process regression that could correct endogeneity and ordered probit model were used to test the impact of source credibility on consumers' acceptance of GMFs. Our major finding was that consumer acceptance of GMFs is affected by such factors as information source credibility, general attitudes, gender, and education levels. The reliability of biotechnology research institutes, government offices devoted to management of GM organisms (GMOs), and GMO technological experts have expedited urban consumer acceptance of GM soybean oil. However, public acceptance can also decrease as faith in the environmental organization. We also found that ignorance of the endogeneity of above mentioned source significantly undervalued its effect on consumers' acceptance. Moreover, the remaining three sources (non-GMO experts, food companies, and anonymous information found on the Internet) had almost no effect on consumer acceptance. Surprisingly, the more educated people in our survey were more skeptical towards GMFs. Our results contribute to the behavioral literature on consumer attitudes toward GMFs by developing a reasoning mechanism determining consumer acceptance of GMFs. Particularly, this paper quantitatively studied the influence of different source credibility on consumer acceptance of GMFs by using mixed-process regression to correct endogeneity in information sources, while taking into consideration of information asymmetry and specific preference in the use of information sources.

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This article measures and compares the effects of agricultural research and development (R&D) on total agricultural factor productivity growth for 29 Chinese provinces from 1986 to 2011. Using the convergence test proposed by Phillips and Sul (2007), the study finds strong evidence of convergence in total agricultural productivity growth and positive correlation between growth and public investment in R&D. The analysis of convergence indicates that the productivity gap between different regions in China has lessened, suggesting agricultural productivity is convergent across all provinces in China. We find R&D being statistically and economically more important in technological catch-up than in innovation. Human capital also plays a major role in productivity growth. The finding of strong positive inter-region spillover effects implies that expanding cooperation across regions for public agricultural research is more efficient and training of researchers can improve total factor productivity, especially in less productive regions. (2007), l étude révèle des preuves manifestes de convergence de la croissance de productivité agricole totale ainsi qu'une corrélation positive entre cette progression et les investissements publics en recherche et en développement. L'analyse de convergence démontre la diminution de l écart de productivité dans les régions de la Chine, suggérant la convergence de la productivité agricoleà la grandeur des provinces chinoises. La recherche et le développement sont ainsi proposés commeétant statistiquement etéconomiquement plus importants dans le rattrapage technologique que l'innovation. Le capital humain joue aussi un rôle majeur dans la croissance de la productivité. Les forts effets positifs de débordement entre les régions laissent entendre que la coopération grandissante en recherche agricole publiqueà travers les régions s'avère plus efficace, et que la formation des chercheurs peut améliorer la productivité totale des facteurs, surtout dans les régions moins productives. Cet article mesure et compare les effets de la recherche et du développement agricoles sur la progression de la productivité totale des facteurs agricoles au sein de 29 provinces chinoises de 1986à 2011. Au moyen du test de convergence proposé par Phillips et Sul

PurposeThe number of farms engaged in grain production in China has been declining in recent years. Limited efforts have been devoted to examine why producers quit from grain production and how such exits affect China's grain output. Such information, however, is invaluable in understanding whether the exit from grain production should be encouraged and if so, how. The purpose of this paper is to identify the factors that influence farmers' decision to quit from grain production, with a view to drawing implications for devising policies to deal with such exits.Design/methodology/approachBoth descriptive statistics and econometric techniques are used to analyse a set of unique and comprehensive farm‐level survey data to identify key factors that affect farmers' decision to quit from grain production.FindingsKey factors that influence a farm to quit from, or stay in, grain production include: family size, the share of farming labour out of total family labour, per capita arable land, the proportion of land used for grain production, the share of family income from grains. It was also found that the level of grain prices and the sunk cost in farming, chiefly in grain production, also affect the likelihood that a household will stay or exit from grain production. Further, farmers in more economically developed regions are more likely to quit from grain production.Originality/valueThe paper's findings clearly indicate that farms with a larger scale of grain production and earning higher income from grain are the major contributors to China's grain production. Potential exists for China to raise its total grain output if the land from those exiting farmers is readily made available to larger producers, enabling them to further benefit from the economies of scale.

PurposeThe regulations for qualitative genetically modified (GM) food labeling do not effectively eliminate the information asymmetries pertaining to the consumption of GM products. China's GM food labeling law requires the presentation of certain categories of GM products on GMO labels on packages. Such information is invaluable for understanding whether the disclosure of more information on GM foods can help alleviate information asymmetry while reducing consumer fear and risk perceptions of GM foods, and thus cause changes in their behaviors. The purpose of this paper is to explore the heterogeneity of consumer preferences for enhanced GM food labeling, how consumer preferences are influenced by labeling information, and how these preferences vary in different consumers.Design/methodology/approachBoth descriptive statistics and econometric techniques, including the multivariate ordered Probit model, were applied to a sample of 566 urban consumers in the Yangtze River Delta region of China. All respondents were divided into two groups: people who would definitely not buy GM foods before selecting enhanced labeling information (“consumer group 1”, sample size 282) and people who would definitely not object to buying GM foods before selecting enhanced labeling information (“consumer group 2”, sample size 274).FindingsThe findings suggest that urban consumers have a preference for different types of enhanced labeling information about GM foods, that such a preference significantly influences their willingness to pay for GM foods, that there exists a large difference in the preferences of different consumer groups, and that enhanced GM food labeling information has a greater impact on those consumers who would not accept GM foods.Originality/valueThis research identifies the GM information disclosures that most affect consumer preferences and how these preferences vary across different segments of consumers, which is a current gap in the literature. The study has demonstrated that enhanced labels of GM foods with diverse information would not alter a consumer's WTP for GM foods who does not perceive the value of information from the enhanced labels, but change positively consumers with uncertainty willingness to pay before disclosure.