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汇率波动对印度尼西亚输往五个主要出口市场的主要出口产品的影响。

The impact of exchange rate volatility on Indonesia's top exports to the five main export markets.

作者信息

Sugiharti Lilik, Esquivias Miguel Angel, Setyorani Bekti

机构信息

Departement of Economics, Faculty of Economics and Business, Universitas Airlangga, Jl Airlangga No. 4, Surabaya, 60286, Indonesia.

出版信息

Heliyon. 2020 Jan 15;6(1):e03141. doi: 10.1016/j.heliyon.2019.e03141. eCollection 2020 Jan.

Abstract

This study examines the impact of exchange rate volatility on Indonesia's primary export commodities to the top five export destination countries, namely China, India, Japan, South Korea, and the United States. This study uses a GARCH model to obtain an estimated value of exchange rate volatility, using monthly data covering from 2006 to 2018. The ARDL method helps to measure the effect of exchange rate volatility on exports to destination countries in both the short and the long-term. Aggregate exports are compared employing a linear (ARDL) and a non-linear autoregressive distributed lag model (NARDL). The findings suggest that exchange rate volatility has a significant effect on exports of commodities under code 26 (ores), 38 (chemicals), 40 (rubber), and 47 (pulp paper) to India, Japan, South Korea, and the United States, either in the short or long-run. The exchange rate volatility of exports to China only affects plastics goods (code 39), although many goods experience negative effects due to exchange rate depreciation. In India, exchange rate volatility affects the largest number of export commodities. The Index of Industrial Production (IIP) has a strong long-term effect on exports to Asian countries. Impacts due to exchange rates offer both negative effects and positive effects (expected) in exports at commodity and trade partner case-to-case levels. Both aggregate ARDL and NARDL models suggest that Indonesian exports are negatively affected by exchange rate fluctuations.

摘要

本研究考察了汇率波动对印度尼西亚主要出口商品输往五大出口目的地国,即中国、印度、日本、韩国和美国的影响。本研究使用广义自回归条件异方差(GARCH)模型来获取汇率波动的估计值,采用的月度数据涵盖2006年至2018年。自回归分布滞后(ARDL)方法有助于衡量汇率波动在短期和长期内对输往目的地国出口的影响。运用线性(ARDL)和非线性自回归分布滞后模型(NARDL)对总出口进行比较。研究结果表明,汇率波动对代码26(矿石)、38(化学品)、40(橡胶)和47(纸浆)项下商品输往印度、日本、韩国和美国的出口,在短期或长期均有显著影响。输往中国的出口商品的汇率波动仅影响塑料制品(代码39),尽管许多商品因汇率贬值而受到负面影响。在印度,汇率波动影响的出口商品数量最多。工业生产指数(IIP)对输往亚洲国家的出口有很强的长期影响。在商品和贸易伙伴的具体案例层面,汇率带来的影响在出口方面既有负面影响也有正面影响(预期)。ARDL和NARDL总模型均表明,印尼出口受到汇率波动的负面影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef20/6965739/77548a9a1366/gr1.jpg

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