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Pengaruh Konsumsi Masyarakat Indonesia terhadap Ketahanan Pangan Nasional A.W, Vilentine Tessalonica; Fitriyani, Arum Eka; Febrianti, Mita; Lesmana, Muhammad Erza; Lukman, Raif Maulana; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1711

Abstract

Food is a basic need for humans to be able to live and improve their lives. The Global Food Security Index (GFSI) and the Food Security Index (IKP) are each a measure of how good food security is in the world and Indonesia. In 2022 Indonesia's GFSI score is ranked 69th in the world and sixth in ASEAN countries. Indonesia's GFSI has also decreased from 2018 to 2021. The purpose of this study was to analyze the effect of consumption on a decrease in the level of food security as reflected in Indonesia's GFSI scores for the 2018-2021 period based on 2 GFSI aspects, namely Affordability and Availability. The data used is panel data from 34 provinces in Indonesia from 2018 to 2021 which were analyzed using the panel data regression method. The Random Effect Model (REM) was chosen as the best model in this study with the results showing that Rice Productivity, Total Rice Consumption, and Protein Consumption have a positive and significant effect on the Level of Food Security.
Estimating the shadow economy at the provincial level in Indonesia: A MIMIC model approach Lukman, Raif Maulana; Kartiasih, Fitri
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 14 No 1 (2025): April
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v14i1.561

Abstract

The shadow economy encompasses economic activities that are not recorded in the Gross Domestic Product (GDP), resulting in reporting bias and diminished state revenue. This study estimates the size of the shadow economy across 34 Indonesian provinces from 2015 to 2021 using the Multiple Indicators and Multiple Causes (MIMIC) method. The results indicate that the estimated average shadow economy ranges from 4.73% to 42.64% of the provincial GRDP. Key influencing factors include tax burden, government regulations, regional autonomy, self-employed labor, and economic openness. These findings support policies aimed at reducing the shadow economy through tax efficiency, improved regulations, and enhanced welfare for micro, small, and medium enterprises (MSMEs) backed by local governments. Keywords: shadow economy; MIMIC model; regulation; tax burden JEL Classification: E61; E62