Fitrie Arianti
Departemen Ilmu Ekonomi dan Studi Pembangunan, Fakultas Ekonomika dan Bisnis, Universitas Diponegoro, Semarang

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Analisis Tingkat Ketimpangan Pendapatan dan Pengembangan Sektor Unggulan di Provinsi Daerah Istimewa Yogyakarta Tahun 2008-2020 Elza Amriani; Fitrie Arianti
Diponegoro Journal of Economics Vol 11, No 4 (2022)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.35002

Abstract

The economic growth of DI Yogyakarta Province tends to increase from 2008 to 2020. Meanwhile, there are still many districts or cities that are still coming in below average of DI Yogyakarta Province’s economic growth. Differences in economic growth show income inequality. Income inequality between regions can lead to development problems and economic instability. This study aims to analyze the magnitude of income inequality between regions and classify the leading regions in DI Yogyakarta Province, as well as to prove the Kuznets Hypothesis. The analytical methods used are Williamson index analysis and Location Quotient (LQ). The results showed that there are still many areas in DI Yogyakarta Province that are classified as relatively underdeveloped areas (quadrant IV). The income disparity between regions in Central Java Province in 2008-2020 is high (>0.5).
Pengaruh Tingkat Hunian Hotel, Jumlah Wisatawan, dan Jumlah Objek Wisata terhadap Pendapatan Sektor Pariwisata di Kota Semarang Tahun 2000-2020 Devina Amelia; Fitrie Arianti
Diponegoro Journal of Economics Vol 12, No 2 (2023)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/djoe.37939

Abstract

This study aims to determine the income of the tourism sector through the factors that can influence it, namely the hotel occupancy rate, the number of tourists, and the number of tourist objects as independent variables on the income of the tourism sector in Semarang City in 2000-2020. Sources of data used are secondary data obtained from documentation. The data analysis technique used multiple linear regression analysis. The results of the study obtained a coefficient of determination of 0.193, meaning that the hotel occupancy rate, the number of tourists, and the number of tourist objects can explain the variation in tourism sector income by 19.3 percent. The results of the hypothesis test obtained that hotel occupancy has a significant effect on tourism sector income, the number of tourists has no significant effect on tourism sector income, and the number of tourist objects has no significant effect on tourism sector income.