This study investigates the impacts of agricultural R&D on farm income in Korea. We constructed a decomposition method where farm income change was decomposed into the four effects of output price change, input price change, productivity change and production scale change. Before the decomposition method was applied, the impacts of the R&D expenditure on the changes in output prices, input prices, total factor productivity, and factor-bias were econometrically estimated. We found that the agricultural R&D expenditure negatively affected farm income by reducing agricultural product prices substantially. On the other hand, the agricultural R&D expenditure resulted in a saving in cost by reducing input prices and enhancing productivity. An increase in production scale owing to the R&D expenditure also contributed to farm income slightly. The sum of the positive effects of input price decline, productivity change, and scale change of the agricultural R&D dominated the negative effect of output price decline. Finally, it was found that the R&D effects are substantially variant across farm households depending on their choice of products, input shares, farmland size, and production location.

This study examines the determinants of acceptance and Willingness-to-Pay (WTP) for three functional products of plums. We chose the payment card survey to elicit consumers' potential behaviors. We used the hurdle model to take into consideration the behavior of respondents who do not have intention to purchase the products. Moreover, we used an interval regression technique in the second stage to identify the determinants of WTP. Estimation results indicate that consumers' awareness of the functions of plums has positive effects on the probability to purchase and WTP. Also, we found that consumption of plum products showed complementarity effects in the sense that past experience of purchasing plums plays an important role in consumers' decisions to accept new plum products.

This study is designed to analyze the factors affecting foodservice businesses' management performances, using the survey data of the '2015 Status of Foodservice Business Management' conducted with all regions and business types by the Korea Agro-Fisheries & Food Trade Corporation and Korea Foodservice Industry Association. The Ordinary Least Square (OLS) and the quantile regression method are applied to analyze the factors affecting the sales per seat used to indicate foodservice businesses' management performances. The results demonstrate that location in a special/metropolitan city, governmental authorization, educational background, and SNS promotion contribute to the advancement of management performance.