본문 바로가기
KERD
논문KCI 등재

Climate Change Impact on Rice Yield and Production Risk

1

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류농업경제학

초록

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.

Abstract

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.

참고문헌 (15)

  1. Boo, K-O., "Response of Global Warming on Regional Climate Change over Korea: An Experiment with the MM5 Model", Geophysical Research Letters, 31(21)
  2. Chen, C-C., "The Impact of Weather on Crop Yield Distribution in Taiwan: Some New Evidence from Panel Data Models and Implications for Crop Insurance", Agricultural Economics, 33(s3), pp.503~511 (2005)
  3. Chen, C-C., "Yield Variability as Influenced by Climate: A Statistical Investigation", Climatic Change, 66(2), pp.239~261 (2004)
  4. Grubbs,F., "Procedures for Detecting Outlying Observations in Samples", Technometrics, 11(1), pp.1~21 (1969)
  5. Hazell,P.B.R., "Sources of Increased Instability in Indian and U.S. Cereal Production", American Journal of Agricultural Economics, 66(3), pp.302~311 (1984)
  6. Im, K-S., "Testing for Unit Roots in Heterogeneous Panels", Journal of Econometrics, 115(1), pp.53~74 (2003)
  7. Isik, M., "An Analysis of the Impact of Climate Change on Crop Yields and Yield Variability", Applied Economics, 38(7), pp.835~844 (2006)
  8. Just, R.E., "Stochastic Specification of Production Function and Economic Implications", Journal of Econometrics, 7(1), pp.67~86 (1978)
  9. Just, R.E., "Production Function Estimation and Related Risk Considerations", American Journal of Agricultural Economics, 61(2), pp.276~284 (1979)
  10. Kumbahakar,S.C.and R.Tveterås, "Risk Preferences,Production Risk and Firm Heterogeneity", Scandinavian Journal of Economics, 105(2), pp.275~293 (2003)
  11. 권오상, "기후변화가 쌀 단수변화에 미치는 영향 : 비모수적 및 준모수적 분석", 농업경제연구, 49(5), pp.45~64 (2008), 한국농업경제학회
  12. Meehl, G.A., "Global Climate Projection" (2007), Cambridge UniversityPress
  13. Min, S-K., "Internal variability in a 1000-Year Control Simulation with the Coupled Climate Model ECHO-G. Part I: Near Surface Temperature, Precipitation, and Mean Sea Level Pressure", Tellus, 57(4), pp.605~621 (2005)
  14. Saha, A., "Stochastic Production Function Estimation: Small Sample Properties of ML versus FGLS", Applied Economics, 29(4), pp.459~469 (1997)
  15. Tveterås,R., "Flexible Panel Data Models for Risky Production Technologies with an Application to Salmon Aquaculture", Econometric Review, 19(3), pp.367~389 (2000)

관련 논문AI추천

이 간행물의 다른 논문 (5건)