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Cointegration Analysis for Rice Production in the States of Perlis and Johor, Malaysia

机译:马来西亚珍宝和柔佛州稻米生产的协整分析

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Rice is ranked the third most important crop in Malaysia after rubber and palm oil in terms of production. Unlike the industrial crops, although its contribution to Malaysia’s economy is minimal, it plays a pivotal role in the country’s food security as rice is consumed by almost everyone in Malaysia. Rice production is influenced by factors such as geographical location, temperature, rainfall, soil fertility, farming practices, etc. and hence the productivity of rice may differ in different state. In this study, our particular interest is to investigate the interrelationship between the rice production of Perlis and Johor. Data collected from Department of Agriculture, Government of Malaysia are tested for unit roots by Augmented Dickey-Fuller (ADF) unit root test while Engle-Granger (EG) procedure is used in the cointegration analysis. Our study shows that cointegrating relationship exists among the rice production in both states. The speed of adjustment coefficient of the error correction model (ECM) of Perlis is 0.611 indicating that approximately 61.1% of any deviation from the long-run path is corrected within a year by the production of rice in Johor.
机译:在生产方面,在橡胶和棕榈油后,在马来西亚排名第三次。不同的是经济作物,尽管其对马来西亚经济的贡献是最小的,它在整个国家的粮食安全举足轻重的作用,因为大米几乎每个人都在马来西亚消耗。稻米产量受到地理位置,温度,降雨,土壤肥力,农业实践等的因素的影响,因此水稻的生产率可能不同。在这项研究中,我们的特殊兴趣是调查Perlis和Johor的大米生产之间的相互关系。从农业部收集的数据,马来西亚政府通过增强的DICKEY-FULLER(ADF)单位根测试来测试单位根,而ENGLE-GRANGER(例如)程序用于协整分析。我们的研究表明,共同关系存在于两种州的水稻生产中。 PLLIS纠错模型(ECM)的调整系数速度为0.611,表明柔佛咖啡稻米的一年内每年校正大约61.1%的任何偏差。

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