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中国粮食产量增长率波动的计量研究 被引量:2

Econometrical Research on Fluctuation of Increasing Rate of China's Grain Output
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摘要 对中国粮食产量增长率的波动性进行了实证计量分析,利用最大似然方法估计了3种GARCH族模型(GARCH、T-GARCH和E-GARCH)。实证研究表明,GARCH模型提供了最好的统计拟合,它表明波动率是变化的,中国粮食总产量的增长率是非对称的,国家持续稳定增长的粮食供给很难实现。国家根据此结论,应该制定出有利于粮食供给的保护性政策,才能维护国家的粮食安全。 In this article, the author makes an empirical econometrical analysis of increasing rate of China's grain output. Then he estimates three GARCH models (GARCH,T-GARCH and E-GARCH)with the methods of Quasi-maximum likelihood estimation. The result show that, the GARCH model makes a best estimation in statistics, and the fluctuation rate is altering, it has asymmetrical relation with the growing rate of China's grain output. It's hard to maintain the sustainable development of grain yield. As a result, Government should make an appropriate policy to protect the supply of the grain order to maintain the security of foodstuff.
作者 马帅 郭淑敏
出处 《中国农学通报》 CSCD 2006年第3期110-114,共5页 Chinese Agricultural Science Bulletin
基金 国家"十五"科技攻关课题"区域农业协调持续发展重大战略问题研究"(2004BA508B20)中的子课题"中部地带粮食生产潜力和布局战略研究"的部分内容。
关键词 波动率 粮食总产量 ARCH模型 GARCH模型 非对称性 Fluctuation rate, Grain output of China, ARCH model, GARCH model, Asymmetry
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参考文献9

  • 1Bollerslev,T.Chou.R.Y.,Kroner,K.F.,ARCH modeling in finance:A review of the theory and empirical evidence[J].Journal of Econometrics 1992.52:5~59.
  • 2Greene,W.H.,Econometric Analysis.Fourth edition,Prentice-Hall.Inc.2000.499~522,525~555,776~789.
  • 3张峭.中国粮食生产波动研究[J].农业技术经济,1998(5):34-37. 被引量:20
  • 4Wooldridge,J.M.,Quasi-maximum likelihood estimation and inference in dynamic models with time varying covariances[J].Econometric Reviews,1992,11:143~172.
  • 5古扎拉蒂.计量经济学(第三版)[M].北京:中国人民出版社,2002..
  • 6中华人民共和国农业部.中国农业统计资料(1949-2004年).北京:中国农业出版社,1949~2004.36~40.
  • 7易丹辉.数据分析与E-views应用.北京:中国统计出版社,2001.189~203.
  • 8邵丹,詹俊义.中国实际GDP波动率的实证研究[J].南方金融,2004(6):26-28. 被引量:3
  • 9周少甫,陈千里.中国股市收益波动的实证研究[J].华中科技大学学报(自然科学版),2002,30(9):48-50. 被引量:28

二级参考文献9

  • 1陈小悦,李晨.上海股市的收益与资本结构关系实证研究[J].北京大学学报(哲学社会科学版),1995,32(1):72-79. 被引量:130
  • 2Bollerslev, T, Chou. R.Y, Kroner, K.F, 1992. ARCH modeling in finace: A review of the theory and empirical evidence[J] .Journal of Econometrics 52, 5 - 59.
  • 3Bollerslev, T, Wooldridge, J.M, 1992. Quasi- maximum likelihood estimation and inference in dynamic models with time varying covariances[J]. Econometric Reviews 11, 143- 172.
  • 4Dickey, D.A., Fuller, W.A., 1981. Likelihood ratio statistics for autoregressive time series with a unit root[J]. Journal of the American Statistical Association 74, 427 - 431.
  • 5Greene, W.H., 2000. Econometric Analysis, fourth edition,Prentice - Hall, Inc., 499 - 522, 525 - 555, 776 - 789.
  • 6Hamori, S, 2000. Volatility of real GDP: some evidence from the United States, the United Kingdom and Japan[J] . Japar and the World Economy 12, 143- 152.
  • 7Nelson, D.B., 1991. Conditional heteroskedasticity in asset returns: A new approach. Econometrica 59, 347- 370.
  • 8Sichel, D.E., 1993. Business cycle asymmetry: A deeper 1ook[J]. Economic Inquiry 31, 224- 236.
  • 9Zakoian, J.M., 1994. Threshold heteroskedastic model[J].Journal of Economic Dynamics and Control 18, 931 - 955.

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