JOURNAL OF NATURAL RESOURCES ›› 2017, Vol. 32 ›› Issue (8): 1433-1444.doi: 10.11849/zrzyxb.20160271

• Resource Evaluation • Previous Articles     Next Articles

An Empirical Analysis of Climatic Factors Impact on Rice Yield—Based on the Hierarchical Model at Household Level

YIN Chao-jing1, LI Gu-cheng2, GAO Xue2   

  1. 1. College of Economics & Management, Southwest University, Chongqing 400715, China;
    2. College of Economics & Management, Huazhong Agricultural University, Wuhan 430070, China;
  • Received:2016-03-15 Revised:2016-10-07 Online:2017-08-20 Published:2017-08-20
  • Supported by:
    International Cooperation of the National Natural Science Foundation of China, No. 71461010701National Natural Science Foundation of China, No. 71273103National Youth Top-notch Talent Support Program.

Abstract: Climatic conditions, such as temperature, precipitation and high temperature damage, are closely related to rice yield. Based on 2 610 sampled data from farmer households and meteorological data in Hubei Province during 2003-2011, the spatial-temporal variations of heat damage in rice growing period were studied and a hierarchical model about rice yield and its factors was established in order to find the effects of temperature, precipitation and heat damage on rice yield as well as the nonlinear relations. The results are as follows. High temperature damage shows obvious spatial and temporal variation in Hubei Province. Temporally, high temperature damage shows a trend which first decline and then rise. Spatially, it is more serious in central and eastern regions, but less serious in western part and Jianghan Plain. Climate factors have obviously different impacts on rice yield, while high temperature harm has a significant negative effect on rice yield, and there is a significant inverted “U” relationship between the temperature and the rice yield. The influence of precipitation on rice yield is not significant. Besides, the input such as machinery and labor, and infrastructures such as irrigation, can improve rice yield significantly. Therefore, we can enhance the rice yield in Hubei Province by ways of strengthening meteorological disaster alarming and forecasting, improving farmland water conservancy facilities, optimizing sowing and selecting suitable varieties.

Key words: hierarchical model, high temperature damage, precipitation, rice yield, temperature

CLC Number: 

  • S511