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PurposeSince attracting foreign direct investment (FDI) to agriculture is now an important policy concern for the Chinese Government, it is necessary to develop benchmarks of the inward FDI performance. The purpose of this paper is to explore the determinants of FDI and evaluate the inward FDI performance in China's agriculture.Design/methodology/approachA multi‐variable regression model is conducted to examine the determinants of FDI in China's agriculture over the period from 1985 to 2006. In order to evaluate the inward FDI performance, the inward FDI performance index is developed at industrial level.FindingsThe results indicate that agricultural market size has a significant positive effect but agricultural import has a negative effect on FDI inflow to China's agriculture. The effect of agricultural export is positive but not statistically significant. It is stated that the orientation of FDI policy during China's agricultural opening process is still not clear, and the decrease of the share of fiscal expenditure is apparently not conducive to attract more FDI in China's agriculture. In addition, the performance index shows the inward FDI performance in China's agriculture is improving but not satisfactory compared to its market size.Originality/valueThe inward FDI performance index is tentatively used to evaluate the performance of FDI inflow to China's agriculture. The results of this paper have significant policy implications for the government to determine where to head in using FDI in China's agriculture in the future.

Purpose -The trade cost is a significant factor which restricts the trade potential between two nations. This paper aims to make a measurement of agricultural bilateral trade costs of China. Design/methodology/approach -Based on Novy model, this paper makes a measurement of agricultural bilateral trade costs before and after China joining the WTO (1995WTO ( -2007. Findings -This paper finds that China's agricultural trade costs with its five major trade partners have not got a pronounced downward trend during 1995-2007. In ascending order, these are: Malaysia, the USA, Japan, Brazil and Argentina in 2007. Otherwise, there is an obvious corresponding relationship between the trade potential and costs of agricultural products, which is that high costs lead to inadequate trade. With a simple regression, distance and free trade agreement are found to be main factors influencing agricultural trade costs. Originality/value -Based on the revised gravity model, this paper especially calculates the agricultural bilateral trade costs before and after China joining the WTO, which expands the understanding of trade costs in an industrial perspective. It can prove the agricultural market opening extent, and also help us to learn more about how China participates in the division of the world farm produce market.

[eng] The recents developments of the political reform agricultural of China . Chinese agriculture is one of the oldest in the world. After the collectivism, deregulation came with different steps : land restitution, contracts between the State and farmers, aleviation of the controls on these contracts, and at last deregulation of markets and prices. Growth in agriculture reached 6 % during 15 years. This growth was accompanied by a fast industrialization process, particularly in rural areas. Now, Chinese agriculture have to face new challenges : small farms, relative decreasing of agricultural income, less infrastructure and rapid demand diversification. [fre] L'agriculture chinoise est une des plus vieilles du monde. Après la collectivisation, la dérégulation s'est faite en différentes étapes : restitution de la terre et passation de contrats entre l'État et les producteurs, puis relâchement des contrôles sur les contrats, et enfin dérégulation du marché et des prix. La croissance agricole atteint presque 6 % sur quinze ans. Cette croissance s'accompagne d'une industrialisation extrêmement rapide en particulier dans les zones rurales. Cette agriculture doit faire face à des défis nouveaux : la petitesse des exploitations, la baisse relative des revenus agricoles, le manque d'infrastructures, et la diversification rapide de la demande.

China’s fishery industry has national and international relevance whose aquaculture production accounts for more than 60 percent of the world’s total aquaculture production. But the average amount of pesticides used per hectare in China is roughly five times of the world average. The abuse of chemical fertilizers and drugs has brought chronic, long-term, and cumulative harm to both human beings and environment. The digital agricultural management system should be adopted to reduce non-negligible environment pollution and the quality and safety risks of aquatic products. So, it is essential to understand the factors that may influence the adopting intention of this digital management approaches. The present study aimed to examine the adopting intention of farmers toward the digital agricultural management system using two theories–the theory of planned behavior (TPB) and the behavioral economics–as the research framework. The population was composed of farmers in the provinces of Guangdong province in south China of whom 219 farmers were sampled with stratified random sampling technique. Structural equation modeling was used to analyze the data, and it was revealed that this research framework could potentially predict intention. And we observed that the two biased belief of availability bias and loss aversion bias can be the main predictive influence factors of responsible behaviors in adopting the digital agriculture management system, which highlights the importance of framing recommendations in terms of losses rather than gain may be more effective to increase farmers’ intention to adopt the digital system on their farms.