用ARDL方法估计进口需求函数:来自尼泊尔的证据

K. Dhungel
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引用次数: 4

摘要

多年来,尼泊尔对汇款的依赖一直在增加。这对整体消费有直接的积极影响,反过来又对进口有间接的积极影响。本文旨在利用自回归分布滞后(ARDL)模型估计1990-2017年期间的进口需求函数。约束检验符合变量(进口、汇款、国内生产总值和消费者价格指数)之间协整的存在。进口相对于汇款的弹性系数在短期和长期分别为1.37和0.97。这意味着,汇款增加1%,短期和长期进口分别增加1.37%和0.97%。同样,进口相对于GDP的弹性系数在短期和长期分别为0.24和0.14。这意味着GDP每增长1%,短期和长期进口分别会增加0.24%和0.14%。进口弹性系数对CPI的影响不显著。这些研究结果证明,汇款是尼泊尔增加进口的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of Import Demand Function Using ARDL Method: Evidence from Nepal
Nepal’s dependence on remittance has been increasing over the years. This has the direct positive impact on overall consumption and in turn indirect positive impact on import. This paper aims to estimate the import demand function during the period 1990-2017 with the help of autoregressive distributed lag (ARDL) model. Bound testing conforms the existence of cointegration among the variables (import, remittance, gross domestic product, and consumer price index). The elasticity coefficient of import with respect to remittance is found 1.37 and 0.97 in the short and long run respectively. It implies that a 1% increase in remittance leads to increase the import by 1.37% in the short run and 0.97% in the long run respectively. Similarly, the elasticity coefficient of import with respect to GDP is found 0.24 and 0.14 in the short and long run respectively. It implies that a 1% increase in GDP leads to increase the import by 0.24% in the short run and 0.14% in the long run respectively. The elasticity coefficient of import with respect to CPI is found insignificant. These findings proved that the remittance is the key factor to increase the import in Nepal.
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