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Simulasi Kenaikan Tarif Cukai Rokok terhadap Kinerja Ekonomi Rokok di Indonesia Agustinningtyas, Diska; Agustina, Neli
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 25, No. 2
Publisher : UI Scholars Hub

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Abstract

Production and consumption of cigarettes in Indonesia tend to increase. Increasing production has a positive impact on state revenue. However, the increasing consumption of cigarettes harms public health. The government implemented a policy of cigarette excise tax to control cigarette consumption. This study aims to analyze the impact of increasing the cigarette tax on the economic performance of the cigarette industry. Using Two-Stage Least Squares (2SLS) estimation methods shows that cigarette production is influenced by its consumption. Cigarette consumption is influenced by its price, per capita income in the previous year, and its consumption in the previous year. Cigarette’s price is influenced by its consumption in the previous year, excise tax, and its price in the previous year. The simulation results show that increasing the excise tax by 23 percent is efficient enough to reduce cigarette consumption while still increasing production.
Analisis Spasial Ketahanan Pangan di Indonesia Tahun 2022 dengan Model Geographically Weighted Logistic Regression Agustinningtyas, Diska; Syukri, Irfan; Choiri Nisa, Gusvia; Cengga, Gloria Stephany Haman; Ikhsanudin, Muhammad Rafi; Budiasih
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 1 (2024): Vol. 8 No. 1, Mei 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i1.438

Abstract

The crisis in food security is a problem in many countries including Indonesia. The crisis is important to pay attention to, in order to realize sustainable food security in accordance with the second Sustainable Development Goals (SDGs) of zero hunger. Achieving food security cannot be separated from making appropriate and targeted policies. Policy making must be supported by accurate, comprehensive and systematic food security information. This study aimed to classify districts/cities in Indonesia into food-secure and food-prone areas and analyze the factors that influence the food security status. The data were analyzed descriptively and inferentially where clustering with k-means method for food security status classification and Geographically Weighted Logistic Regression (GWLR) modeling with Adaptive Gaussian kernel function weights which provided the best model with the smallest Akaike Information Criterion corrected (AICc) compared to other kernels to see the spatial influence in determining the food security condition of a district/city. The results showed that in 2022 there were 388 districts/cities with food security status and 126 districts/cities with food insecurity status. In addition, of the 9 variables used in clustering, there are 5 variables used in GWLR modeling. Three of them are significant in all regions in Indonesia, while 1 variable is locally significant in some regions.