TERRAPUB AGri-Bioscience Monographs (AGBM)


Vol. 2 (No. 1), pp. 1-46, 2012 doi: 10.5047/agbm.2012.00201.0001

Choice Experiment Applications in Food, Agriculture, and Rural Planning Research in Japan

Hideo Aizaki

Rural Development and Planning Division, Institute for Rural Engineering, National Agriculture and Food Research Organization
2-1-6 Kannondai, Tsukuba, Ibaraki 305-8609, Japan
e-mail: aizaki@affrc.go.jp

(Received on January 16, 2012; Accepted on April 13, 2012; Online published on December 28, 2012)

Abstract: The present monograph reviews applications of choice experiments in over 60 papers that have been published on three research topics related to agricultural economics in Japan: consumer valuation, farm management, and rural planning research. It also presents studies carried out by the author of this monograph and colleagues in each of these fields. First, consumers' valuations of beef derived from bovine embryo-cloned cattle were conducted to demonstrate that spreading technological information on cloning does not necessary improve consumers' intentions to purchase cloned beef. Second, rice farmers' behavior when using a joint-use facility was analyzed and integrated into a simulation to predict how changing the rate structure of the facility influences its acceptance of harvested rice. Finally, the environmental benefits of expanding ecologically friendly paddy fields among rice farmers were estimated and the results were compared with those derived from using the contingent valuation method. An application program for designing and analyzing choice experiments is also illustrated. In conclusion, expanding applications of choice experiments in search of solutions to social issues related to agricultural economics in Japan should consider various decision-making strategies, use other peoples' behavior as an attribute, and examine the information effects.

Keywords: agricultural economics, decision-making, discrete choice experiments, discrete choice models, economic valuation, stated preference methods


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