咖啡商品出口和宏观经济因素对印度尼西亚失业率的影响

Nur Hendrasto, Muhammad Yusuf Ibrahim, Tanti Novianti
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引用次数: 0

摘要

咖啡作为第二大农产品出口对包括印尼在内的各国经济做出了贡献。除了研究咖啡商品出口的作用外,还分析了宏观经济因素对印尼失业率的影响。因为众所周知,失业率不仅仅是由一个部门造成的,还受到一些因素的影响,包括宏观经济因素。本研究分析了咖啡商品出口和宏观经济因素(包括国内生产总值、通货膨胀和利率)对印尼失业率的影响。本研究使用的数据是 2000 年至 2021 年的插值二级数据。本研究采用的估计方法是稳健最小二乘法(ROBUSTLS),然后再使用自回归分布滞后法(ARDL)进行估计,作为稳健性检验。 使用 ROBUSTLS 方法得出的估计结果证明,咖啡商品出口和宏观经济因素对印尼的总体失业率有显著影响。咖啡商品出口(ExpCof)、国内生产总值(GDP)和利率(IR)的影响形式为负。而通货膨胀(Inf)则对失业率(Ump)有积极影响。使用 ARDL 方法的估计结果进一步证实了上述结论,即 ExpCof、国内生产总值和 Inf 与 Ump 有显著关系,而 Inf 的显著性不如使用 ROBUSTLS 方法的估计结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Roles of Export of Coffee Commodity and Macroeconomics Factors on Unemployment in Indonesia
Coffee as the second largest agricultural commodity export has contributed to the economies of various countries, including Indonesia. In addition to looking at the role of coffee commodity exports, an analysis of macroeconomic factors' impact on Indonesia's unemployment rate is also analyzed. Because it is known that the unemployment rate is not only caused by one sector but some things influence it, including macroeconomic factors. This study analyzes the role of coffee commodity exports and macroeconomic factors, including GDP, inflation, and interest rates, on Indonesia's unemployment rate. The data used in this study is interpolated secondary data for the period 2000 to 2021. The estimation method used in this study is Robust Least Square (ROBUSTLS) which will then be estimated again using the Autoregressive Distributed Lag (ARDL) method as a robustness test.  The estimation results using the ROBUSTLS method prove that coffee commodity exports and macroeconomic factors significantly affect Indonesia's unemployment rate in aggregate. This form of influence is negative for coffee commodity exports (ExpCof), gross domestic product (GDP), and interest rate (IR). While inflation (Inf) has a positive impact on the unemployment rate (Ump). These findings are reinforced by the estimation results using the ARDL method with the result that ExpCof, GDP, and Inf have a significant relationship to Ump, while Inf is not as significant as the findings from the estimation results using the ROBUSTLS method. 
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