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Chan, Nuraini
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Journal : Media Ekonomi

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PERANAN SEKTOR PARIWISATA DALAM PENINGKATAN PENDAPATAN ASLI DAERAH DI KAWASAN INDONESIA TIMUR Chan, Nuraini
Media Ekonomi Vol. 32 No. 1 (2024): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/38v3hn25

Abstract

This study aims to examine the impact of the tourism sector on Local Own-Source Revenue (PAD) in eastern Indonesia, focusing on variables such as tourist arrivals, average length of stay, number of hotels and other accommodation options, and financial factors, particularly capital expenditures and Regional Gross Domestic Product (RGDP). This research primarily utilizes secondary data as the main information source, covering five independent variables: the number of foreign and domestic tourists, average length of stay, number of hotels and other accommodations, capital expenditures, and RGDP. To achieve the research objectives, panel data regression analysis was applied using the Fixed Effects Model (FEM) approach. The findings show that the variables for foreign and domestic tourist numbers, average length of stay, number of hotels, and capital expenditures align with the hypothesized relationships, achieving significance levels at various confidence intervals—1%, 5%, and 10%. However, the RGDP variable exhibited a relationship direction that did not align with the hypothesis, with significance at a 1% confidence level
DETERMINASI PERTUMBUHAN EKONOMI DIGITAL DI INDONESIA: BUKTI DARI DATA PANEL 34 PROVINSI, 2019–2024 Chan, Nuraini; Entaresmen, R. Ajeng; Shalahudin, Ziad Aljundi; Susanti, Azizah Amelia Eka
Media Ekonomi Vol. 34 No. 1 (2026): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v34i1.26419

Abstract

This study examines how MSMEs, government investment, and digital literacy relate to digital economic growth across Indonesia, using panel data from 34 provinces between 2019 and 2024. Data were drawn from BPS and relevant government agencies. The study applies panel data regression to capture variation across both time and geography. Three model specifications were tested: Fixed Effects, Common Effects, and Random Effects. To select the best fit, two tests were performed — the Chow Test, which compared Common Effects against Fixed Effects, and the Lagrange Multiplier (LM) Test, which compared Common Effects against Random Effects. Findings from both tests identified the most appropriate specification for the data. MSMEs and government investment both show positive, statistically significant effects on digital economic growth. Digital literacy, however, does not. This suggests that simply expanding infrastructure or growing the number of MSMEs is not enough — the quality of human resources matters too, and current policy may be underweighting it.
Co-Authors R. Ajeng Entaresmen, R. Ajeng Shalahudin, Ziad Aljundi Susanti, Azizah Amelia Eka