Climate Change Impact on Rice Yield and Production Risk
The relationship among rice yield and weather variables in Korea is explored using a stochastic production function. The results reveal that average rice yield is positively related to temperature and negatively associated with precipitation. Both temperature and precipitation, which are risk-increasing inputs, are positively related to rice yield variability. The widened yield variability can be transferred to the fluctuation of rice production and rice price instability. Larger market risk is expected in the future since both temperature and precipitation are anticipated to increase. An evaluation of climate change impact on rice yield variability reveals that it may increase by up to 10%~20%. Reducing yield variability and managing market risk would be the primary goals of the government's farm policy and research.
Volume (Year): 32 (2009)
Issue (Month): 2 (June)
|Contact details of provider:|| Postal: 4-102 Hoigi-Dong Dongdaemoon-Gu, Seoul 130-710|
Web page: http://www.krei.re.kr/eng/index.php
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Chi-Chung Chen & Ching-Cheng Chang, 2005. "The impact of weather on crop yield distribution in Taiwan: some new evidence from panel data models and implications for crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 33(s3), pages 503-511, November.
- Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003.
"Testing for unit roots in heterogeneous panels,"
Journal of Econometrics,
Elsevier, vol. 115(1), pages 53-74, July.
- Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
- Tom Doan, "undated". "IPSHIN: RATS procedure to implement Im, Pesaran and Shin panel unit root test," Statistical Software Components RTS00098, Boston College Department of Economics.