The Empirical Analysis of the Coordination Development Between Industry and Agriculture in Xinjiang-Base On ECM and Granger Causality Test Perspective
The paper has studied the coordination development between industry and agriculture in Xinjiang based on ECM and Granger Causality Test perspective since the reform and opening up. First of all, time series of industry and agriculture in Xinjiang is both non-stationaries based on ADF test during the sample period, but co-integration test shows that: there is a long-term stable-balanced relationship between industry and agriculture in Xinjiang. Besides, ECM shows that the based period of agricultural output value has been effect on the based period of industrial output value and the lagged period of agricultural output value, and the agricultural output value has the ability to time-adjustment process at -0.3346 speed in order to transform an imbalance state to a balance state. Whats more, Granger causality test shows that there is one-way Granger causality effect between industry and agriculture in Xinjiang. On the basis of it, the paper analyses the reason for un-coordination development between industry and agriculture in Xinjiang.
Industry and Agriculture Co-integration Relationship Granger Causality Test ECM
GAO Zhigang ZHAO Xiaowei
School of Economics, Xinjiang University of Finance & Economy, Urumqi, P.R.China, 830012
国际会议
2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)
烟台
英文
1-6
2008-08-14（万方平台首次上网日期，不代表论文的发表时间）