Fithriyah Fithriyah
Universitas Airlangga

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V-SHAPED EXPORT RECOVERY: PENGARUH VARIABEL MAKROEKONOMI TERHADAP EKSPOR JAWA TIMUR SELAMA PANDEMI COVID-19 Makmur Tradesman Hasudungan Panjaitan; Mohammad Sofyan Hadi; Sajida Sari; Fithriyah Fithriyah
Buletin Studi Ekonomi VOL.26.NO.1.FEBRUARI 2021
Publisher : Buletin Studi Ekonomi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BSE.2021.v26.i01.p04

Abstract

This study aims to (1) analyze the condition of East Java's exports during the Covid-19 pandemic; and (2) analyze whether the variable exchange rate, interest rate, and international trade price index simultaneously and partially affect East Java's exports during the Covid-19 pandemic. The data source used in this study is secondary data obtained from several government and non-government institutions such as the Central Statistics Agency (BPS), Bank of Indonesia (BI), and the Indonesian Ministry of Trade (Kemendag). The data analysis technique used in this research is static panel data regression using East Java's exports to the 13 main export destination countries of East Java. The results of this study indicate that the variable exchange rate and international trade price index (IHPI) have a significant effect both partially and simultaneously on East Java exports. Meanwhile, the interest rate variable has a simultaneous significant effect on East Java exports. Based on the results, policy policies are expected to maintain the exchange rate and the IHPI to an appropriate level.
The Effect of Economic Sector and Education on Income Inequality In IndonesiaThe Effect of Economic Sector and Education on Income Inequality In Indonesia Irma Novianti; Fithriyah Fithriyah
MediaTrend Vol 17, No 1 (2022): MARET
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v17i1.9043

Abstract

This study aims to determine the impact of economic sector relations (agriculture, industrial, finance), education (literacy), provincial minimum wages and infrastructure (electricity, clean water and sanitation) on income inequality in Indonesia. The data used in this study are secondary data for 2010-2018 period from Central Bureau of Statistics and The Indonesia Database for Policy and Economic Research which is processed using panel data regression method and instrumental variables. Based on the estimation result, it shows that the variables of the agricultural sector, industrial sector, literacy and sanitation infrastructure are able to reduce income inequality in Indonesia in contrast to the result of the financial sector variables that have not been able to reduce income inequality. Meanwhile, the provincial minimum wage, electricity and clean water infrastructure variables have no effect on income inequality in Indonesia.