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The Impact of ICT on Regional Economy in Indonesia Through MSEs as Mediators: Application of Causal Mediation Analysis in Instrumental-variable Regressions Luthfio Febri Trihandika; Ribut Nurul Tri Wahyuni; Maghfiroh, Meilinda Fitriani Nur
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 2 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v16i2.791

Abstract

Introduction/Main Objectives: The development of information and communication technology (ICT) and small and micro enterprises (SMEs) can encourage regional economic growth. Background Problems: Studies on the impact of ICT on the rural economy at the village level are very limited. Furthermore, the Indonesian study neglects to tackle the endogeneity issue associated with this variable and the indirect effects of ICT on the regional economy. Novelty: Using SMEs as a mediator, this study examines the impact of ICT (internet signal strength) on the village's local economy (nighttime light), both directly and indirectly. ICT is considered to be endogenous. Research Methods: This study employs causal mediation analysis in instrumental-variable (IV) regressions at the village level in 2018 and 2021, using lightning strike intensity as IV. Finding/Results: Internet signal strength can increase the number of SMEs, and this increase can positively and significantly impact the local economy. In addition, the direct impact of internet signal strength on the local economy is significantly negative. However, the total impact of internet signal strength is significantly positive.
Small Area Estimation Anak Tidak Sekolah di Pulau Kalimantan Tahun 2023 Luthfio Febri Trihandika; Azka Ubaidillah; Afifah Az-Zahra; Amirudin; Milla Rusydiana; Zahra Maharani
Limits: Journal of Mathematics and Its Applications Vol. 21 No. 2 (2024): Limits: Journal of Mathematics and Its Applications Volume 21 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

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Abstract

Equitable and quality education is one of the priority goals, both nationally and internationally, in achieving the Sustainable Development Goals (SDGs). The quality of education in a region can be seen through the indicator of the percentage of out-of-school children aged 7-17 years. Kalimantan Island is one of the regions that has a high number of out-of-school children, higher than the national rate. To overcome this problem, appropriate policies are needed to improve the quality of education. Therefore, the provision of precise, accurate, and precise data is needed. This is especially true in the provision of “small area” data, at least at the district/city level. Although estimation at the kabupaten/kota level has been conducted by BPS, there is still a problem of low precision. One solution that can be applied in estimating is by using Small Area Estimation (SAE). This study aims to estimate the percentage of children aged 7-17 years who are not in school by district/city in Kalimantan Island in 2023. The author compares the estimation using Empirical Best Linear Unbiased Predictor (EBLUP) and Hierarchical Bayes Beta (HB Beta). The results show that the HB Beta estimation is better than the EBLUP estimation. Estimation using EBLUP resulted in two districts/cities with RSEs of more than 25 percent, namely Samarinda and Kutai Kartanegara. Meanwhile, estimation using HB Beta produces better precision with an overall RSE value below 25 percent