马来西亚粮食安全和相关宏观经济变量的计量经济学分析:向量自回归方法(VAR)

Shri Dewi Applanaidu, Nor’Aznin Abu Bakar, Amir Hussin Baharudin
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引用次数: 36

摘要

食品安全是一个起源于20世纪70年代中期的概念。根据粮食及农业组织(粮农组织)的定义,粮食安全是指所有人在任何时候都能在物质上、社会上和经济上获得充足、安全和有营养的食物,以满足其饮食需求和食物偏好,从而过上积极健康的生活。在国家一级,粮食安全是一个国家能够在持续和稳定的基础上满足其人口的粮食需求的情况。马来西亚虽然是一个中等收入国家,但在过去40年里一直是一个粮食净进口国。事实上,这个国家越来越依赖进口,尤其是大米。在这些趋势潜伏的情况下,了解粮食安全的决定因素是很重要的,因为它将有助于决策者及时了解马来西亚粮食安全的主要变量。因此,本文使用VAR方法分析了选定的宏观经济变量(生物柴油生产、汇率、政府农村发展支出、马来西亚GDP、食品价格指数和马来西亚人口)与马来西亚粮食安全之间的动态关系。方差分解还表明,生物柴油产量、汇率和政府在农村发展方面的支出变量对粮食安全的冲击最大。第五年是汇率和人口第六年是GDP。该模型是一种有用的工具,有助于更好地了解粮食安全如何受到国内和全球市场一体化的影响。它还可以提供一种更定量的方法来评估粮食安全,特别是查明在国家一级对粮食安全造成最大冲击的具体变量。消费者和政策制定者也将从中受益。
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An Econometric Analysis of Food Security and Related Macroeconomic Variables in Malaysia: A Vector Autoregressive Approach (VAR)

Food security is a concept originated in the mid-1970s. According to the definition of the Food and Agriculture Organization (FAO), food security is a situation that exists when all people, at all times, have physical, social and economic access to sufficient, safe and nutritious food that meets their dietary needs and food preferences for an active and healthy life. At the national level, food security is a situation whereby a country is able to cover the food requirements of its population on a continuous and stable basis. Malaysia, although a middle income country, has been a net food importer in the last four decades. In fact, the country has grown to depend more on imports for most important food especially rice. With these trends lurking, understanding the determinants of food security is important because it will help the policy makers keep abreast of the main variables for food security in Malaysia. This paper thus analyse the dynamic relationship between selected macroeconomic variables (biodiesel production, exchange rate, government expenditure on rural development, Malaysia's GDP, food price index and Malaysia's population) and food security in Malaysia using VAR approach. The variance decomposition also shows that biodiesel production, exchange rate and government expenditure on rural development variables will give the highest shock to food security in year ten. Whereas exchange rate and population in year five and finally GDP in year six. This model is a useful tool and reacts as an effort to better understand how food security reacts and is affected by the integration of domestic and global markets. It could also provide a more quantitative means of assessing food security, and in particular to pinpoint specific variables that explain the highest shock to food security at the national level. It would also benefit to consumers and policy makers.

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