Abstract
The increase in cigarette consumption in Banten Province cannot be denied from the number of smokers from a young age. Household characteristics contribute to cigarette consumption, so what is the socio-economic role of cigarette demand in Banten Province. The SUSENAS data of March 2019 became the database for the OLS model used. The results showed the price elasticity of the demand for cigarettes for total cigarettes, the types of SKM, SKT and SPM showed not elastic. Cigarettes are also a normal goods with an income elasticity of less than 1. Age, number of household members and education level have a positive effect on cigarette consumption, except for gender which has a negative effect. Rural area variables have a positive effect, poor category of household has a negative effect and health insurance has a negative effect on cigarette consumption.
Highlights
ABSTRAK Peningkatan konsumsi rokok di Provinsi Banten tidak lepas dari banyaknya perokok dari usia muda
Number of household members and education level have a positive effect on cigarette consumption, except for gender which has a negative effect
Rural area variables have a positive effect, poor category of household has a negative effect and health insurance has a negative effect on cigarette consumption
Summary
The increase in cigarette consumption in Banten Province cannot be denied from the number of smokers from a young age. Walaupun beberapa penelitian lainnya menunjukkan hasil yang signifikan antara harga terhadap konsumsi rokok, tetapi memberikan pertanyaan atas bagaimana profil dari perilaku konsumsi rokok dan berbagai variabel yang berkaitan di Provinsi Banten. (Baltagi & Levin, 1986) menunjukkan bahwa elastisitas pendapatan tidak memberikan pengaruh yang signifikan terhadap permintaan rokok di 46 negara bagian di Amerika Serikat pada tahun 1963-1980 dengan menggunakan data panel. Penelitian ini menggunakan data SUSENAS tahun 1999 dengan data rumah tangga, dimana ditunjukkan bahwa harga tidak berpengaruh atas keputusan untuk merokok tetapi berpengaruh terhadap jumlah rokok yang dikonsumsi. Pada penelitian ini menggunakan model OLS untuk menunjukkan elastisitas harga dari permintaan rokok di Provinsi Banten. Hasil dan Pembahasan Bagian ini menjelaskan terlebih dahulu tentang profil dari berbagai data yang digunakan dalam melakukan estimasi permintaan rokok di Provinsi Banten pada tahun 2019 berdasarkan data SUSENAS Bulat Maret Tahun 2019.
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