scholarly journals ANALISIS PERMINTAAN TELUR AYAM DI KABUPATEN MAGETAN

2018 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Nia Fridayanti ◽  
Siti Marwanti ◽  
Ernoiz Antriyandarti
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Income Elasticity ◽  
Chicken Meat ◽  
Series Data ◽  
Meat Price ◽  
Chicken Egg ◽  
Rice Price ◽  
Inferior Good ◽  
Per Capita

This research aims to identify and to analyze the variables which influenced the chicken egg demand in Magetan District and to know its elasticity. This research used descriptive and analytical method. The research location was chosen purposively in Magetan. By using 27 years time series data, this study applied Cobb Douglass demand functing with OLS method. The results showed that the price of chicken egg race, chicken meat price, rice price, population and income per capita have significant effect on chicken egg demand in Magetan District. Race egg price has inelastic elasticity since its value is negative (-0,280). Chicken meat price has subtitute elasticity since its value is positive (0,911). Rice price has complementary elasticity since its value is negative (-0,233). Income elasticity has a negative (-0,476) value means that chicken egg is an inferior good for Magetan District.

Comparative Study on BRIC Carbon Dioxide Emissions - Econometric Empirical Test Based on Cross-Century Time Series Data

2012 ◽  
Vol 616-618 ◽  
pp. 1512-1515
Author(s):  
Wei Hua Du
Keyword(s):  
Carbon Dioxide ◽  
Time Series ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Comparative Statics ◽  
Total Carbon ◽  
Series Data ◽  
Per Capita Gdp ◽  
Bric Countries ◽  
Per Capita

Take for example the BRIC economies: Brazil, Russia, India and China. We investigated the time series data on the relationship between carbon dioxide emission and economic growth in these fast-growing developing countries by both comparative statics and comparative dynamics. The results show that there is the monotonic relationship between total carbon dioxide emissions, carbon dioxide emissions per capita and per capita GDP in any one of the BRIC countries. And there is decreasing relationship between the carbon dioxide emissions per unit GDP and per capita GDP.

The Demand for Alcoholic Beverages: An Aggregate Time-Series Analysis

1985 ◽  
Vol 4 (1) ◽  
pp. 47-54 ◽  
Author(s):  
David Levy ◽  
Neil Sheflin
Keyword(s):  
Time Series ◽  
Alcohol Consumption ◽  
Time Series Data ◽  
Income Elasticity ◽  
Alcoholic Beverages ◽  
Series Data ◽  
Sample Period ◽  
Weak Evidence ◽  
Price Effects ◽  
Alternative Measures

We estimate the total demand for alcoholic beverages with annual U. S. time-series data from 1940–80 using two alternative measures of alcohol consumption. By concentrating on the total demand for alcoholic beverages we subsume the cross-price effects. Our results indicate a price elasticity of (minus)0.5 and an income elasticity of 0.4 and weak evidence of a somewhat higher propensity to consume alcoholic beverages by those under 21. After correcting for heteroskedasticity, the estimates are found to be statistically stable over the sample period.

scholarly journals Pemodelan Harga Beras di Pulau Sumatera dengan Menggunakan Model Generalized Space Time ARIMA

2018 ◽  
Vol 2 (2) ◽  
pp. 49-57
Author(s):  
Dwi Yulianti ◽  
I Made Sumertajaya ◽  
Itasia Dina Sulvianti
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Moving Average ◽  
Space Time ◽  
Series Data ◽  
Model Parameters ◽  
Autoregressive Integrated Moving Average ◽  
Sumatra Island ◽  
Rice Price ◽  
Multiple Variables

Generalized space time autoregressive integrated  moving average (GSTARIMA) model is a time series model of multiple variables with spatial and time linkages (space time). GSTARIMA model is an extension of the space time autoregressive integrated moving average (STARIMA) model with the assumption that each location has unique model parameters, thus GSTARIMA model is more flexible than STARIMA model. The purposes of this research are to determine the best model and predict the time series data of rice price on all provincial capitals of Sumatra island using GSTARIMA model. This research used weekly data of rice price on all provincial capitals of Sumatra island from January 2010 to December 2017. The spatial weights used in this research are the inverse distance and queen contiguity. The modeling result shows that the best model is GSTARIMA (1,1,0) with queen contiguity weighted matrix and has the smallest MAPE value of 1.17817 %.

scholarly journals Analisis impor beras Indonesia

2020 ◽  
Vol 8 (2) ◽  
pp. 89-98
Author(s):  
Yulia Sani ◽  
Siti Hodijah ◽  
Rosmeli Rosmeli
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Quantitative Analysis ◽  
Time Series Data ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Tools ◽  
Rice Price

This study aims to analyze the development of each variable and its effect on rice imports in Indonesia for the period 1998-2017. This research uses descriptive and quantitative analysis tools. The data used is time-series data or time series. To analyze this research, the "Ordinary Least Square (OLS) method was used. The results showed that the independent variables simultaneously had a significant effect on rice imports in Indonesia. Partially, the domestic rice price variable has a positive and significant effect on rice imports in Indonesia, the exchange rate variable has a negative and significant effect on rice imports in Indonesia and the GDP variable has a negative and significant effect on rice imports in Indonesia. Keywords: Rice imports, Exchange rate, The price of rice

scholarly journals DETERMINASI EKSPOR NON MIGAS INDONESIA KE JEPANG

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 147
Author(s):  
Soeharjoto Soeharjoto
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rates ◽  
Capita Income ◽  
Oil And Gas ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita Income ◽  
Oil Exports ◽  
Per Capita

<em></em><em><em>This study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan</em>. <em>The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016.</em> <em>The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan.</em></em><em> </em>

ANALISIS PERMINTAAN DAN PENAWARAN BERAS DI PROPINSI JAMBI

2012 ◽  
Vol 15 (2) ◽  
Author(s):  
. Edison ◽  
Pera Nurfathiyah
Keyword(s):  
Time Series Data ◽  
Supply And Demand ◽  
Research Result ◽  
Primary Data ◽  
Series Data ◽  
Demand And Supply ◽  
On Demand ◽  
Rice Price ◽  
Production Growth ◽  
Per Capita

The rice production growth that was gotten by Jambi Province with production growth rate of 0,54% can not fully contribute society need that was continuously increasing. Therefore, it can cause unbalance between supply and demand. The objective of research is to know the picture of rice supply and demand and influenced variables on rice supply and demand in Jambi. The simultan model was used to predict factors that influenced rice supply and demand. The research was conducted in Jambi Province on September to December 2009. The primary data needed in this research was time series data from 1996 – 2008. The research result showed that simultaneously rice price factor, the number population and income per capita was significant on demand. And also factor of average rice price, Bangkok rice price, import rice price, hybrid seed, acreage, season, and time trend were influencing significantly on supply. From elasticity value was fortunately all variables that was influencing rice demand and supply in Jambi Province was inelastic. Kata Kunci : rice demand and supply, rice price, elasticit

scholarly journals A non-equilibrium formulation of food security resilience

2017 ◽  
Vol 4 (1) ◽  
pp. 160874 ◽  
Author(s):  
Matteo Smerlak ◽  
Bapu Vaitla
Keyword(s):  
Time Series ◽  
Food Security ◽  
High Frequency ◽  
Time Series Data ◽  
Security Policies ◽  
Series Data ◽  
Poor Countries ◽  
Long Run ◽  
Per Capita ◽  
Non Equilibrium

Resilience, the ability to recover from adverse events, is of fundamental importance to food security. This is especially true in poor countries, where basic needs are frequently threatened by economic, environmental and health shocks. An empirically sound formalization of the concept of food security resilience, however, is lacking. Here, we introduce a general non-equilibrium framework for quantifying resilience based on the statistical notion of persistence. Our approach can be applied to any food security variable for which high-frequency time-series data are available. We illustrate our method with per capita kilocalorie availability for 161 countries between 1961 and 2011. We find that resilient countries are not necessarily those that are characterized by high levels or less volatile fluctuations of kilocalorie intake. Accordingly, food security policies and programmes will need to be tailored not only to welfare levels at any one time, but also to long-run welfare dynamics.

scholarly journals Perkembangan dan Faktor yang Mempengaruhi Permintaan Volume Impor Garam Industri di Indonesia

2021 ◽  
Vol 5 (3) ◽  
pp. 748-761
Author(s):  
Okvianti Putri ◽  
◽  
Teti Sugiarti
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Government Policies ◽  
Series Data ◽  
Price Stability ◽  
Gdp Growth ◽  
Variable Amount ◽  
Industry Growth ◽  
Per Capita ◽  
Import Quotas

Salt demand is increasing along with population and industry growth. The imbalance between the amount of industrial salt production with the amount of industrial salt demand is a problem at this time, so to meet the demand for industrial salt, imports are needed. The objectives of this study are: (1) to know trends in the volume of Indonesian salt imports in 2019-2023, (2) to know the factors that influence the demand for industrial salt import volumes in Indonesia. The study uses time series data (2007-2018) which is processed and analyzed using trend analysis and multiple regression analysis. The results showed that the trend of industrial salt import volume in Indonesia during 2019-2023 was predicted to increase by 107,101 tons / year. The factors that significantly and positively affect the volume of industrial salt imports in Indonesia are the variable price of imported salt and the number of industries that use raw salt, while the variable amount of production, exchange rate and GDP growth in Indonesia per capita have no significant effect. Suggestions for reducing the rate of imports can be done by improving production technology, government policies related to international salt price stability and industrial salt import quotas.

scholarly journals An Analysis of Potential Structural Change in the Demand for South Atlantic Fresh Peaches

HortScience ◽  
1992 ◽  
Vol 27 (10) ◽  
pp. 1129-1131 ◽  
Author(s):  
J.E. Epperson ◽  
M.C. Chien ◽  
W.O. Mizelle
Keyword(s):  
Time Series ◽  
Quality Control ◽  
Structural Change ◽  
Time Series Data ◽  
South Atlantic ◽  
Capita Consumption ◽  
Series Data ◽  
Cultivar Development ◽  
Per Capita ◽  
Per Capita Consumption

An analysis was conducted using time-series data to identify possible structural change in the farm-gate demand for South Atlantic fresh peaches [Prunus persica (L.) Batsch.]. Structural change was not found in the price-quantity relationship. However, a failing per capita consumption of South Atlantic fresh peaches was found to be associated with an increase in the per capita consumption of fresh fruits in general. Thus, measures such as promotion and advertising, uniform quality control, and cultivar development may increase the demand for South Atlantic fresh peaches.

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