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(searched for: doi:10.21082/akp.v17n1.2019.27-38)
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A M Nafaati, R A Utomo, D Hasanah
Journal of Physics: Conference Series, Volume 1872; https://doi.org/10.1088/1742-6596/1872/1/012019

Abstract:
The amount of hybrid chicken eggs production and consumption in Indonesia shows that the need of hybrid chicken eggs increases every year. Pamekasan is a district with the highest production for hybrid chicken eggs in Madura. This study aims to analyze the price elasticity of hybrid chicken eggs demand in Pamekasan and in Indonesia as well as to analyze the factors that dominate the elasticity. That is expected to become one of the bases for establishing policies in the livestock sub-sector, both on national and regional scale. The data being used in this study is the number of requests and prices for hybrid chicken eggs in Pamekasan and in Indonesia in 2016-2017 which were obtained from the East Java Provincial Animal Husbandry Department, Ministry of Agriculture, and the results of research by Ilham and Saptana in 2019 to obtain price elasticity. The price elasticity of demand of hybrid chicken eggs in Pamekasan was 20.68344657 which was elastic, while in Indonesia it was 0.795585317 which was inelastic. Based on the statistical analysis factor result, the factor that dominates the elasticity of the demand for hybrid chicken eggs in Pamekasan is the price of duck eggs with a correlation of 0.994.
I Setiawati, Ardiansyah, R Taufikurohman
IOP Conference Series: Earth and Environmental Science, Volume 653; https://doi.org/10.1088/1755-1315/653/1/012146

Abstract:
Staple goods are vulnerable to inflation. The fluctuating of the price of staple food is an interesting study for regions wishing to control the inflation rate. The purpose of this study is to analyze the price volatility of several food commodities and to find out the best model as alternative forecasting model that is suitable for the phenomenon of price volatility. This study uses time series data, namely the weekly prices of staple food for the last two years. The econometric model used in this study is the Autoregressive Conditional Heteroscedasticity-Generalized Autoregressive Conditional Heteroscedasticity (ARCH-GARCH) model. The ARCH-GARCH model is used to estimate the volatility of the price of the community groups. Staple food studied in this study included 3 commodities, namely rice, chicken, and sugar. The results showed that the prices of the three goods were volatile. Therefore, it is important for local governments to know how to maintain the weekly price of staple foods so that inflation can be controlled.
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