scholarly journals RICE EXPORT FROM INDIA: TRENDS, PROBLEMS AND PROSPECTS

2016 ◽  
Vol 4 (7) ◽  
pp. 122-136
Author(s):  
Ramakrishna ◽  
Chaya Degaonkar
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Careful Analysis ◽  
World Market ◽  
Vital Role ◽  
Basmati Rice ◽  
Series Data ◽  
Rice Varieties ◽  
Good Market ◽  
The World

In India, agriculture is the main occupation. About 58 per cent of the population depends upon agriculture. It is the backbone of the Indian economy. In agriculture, rice is one of the most important food crops of India. It feeds more than 50 per cent of the world’s population. Rice is continues to play vital role in the national exports. India is one of the important countries in the world in export of rice. Indian rice exports are reached first place in the world markets. This study has analysed the trends and variability of rice export, assess the prospects of rice export and the various problems/constraints of rice export from India to various countries in the world. The study based on secondary data. The time series data on export of rice from India for the period 2001-02 to 2013-14.This paper indicates that there is good market for some Indian rice varieties, especially basmati rice in the world market. Pakistani basmati, as a sole competitor of India, does not have the unique aroma and taste as the Indian varieties. During 2012-13 the foreign earning from basmati rice has increased considerably. Despite considerable area being under rice cultivation in the country, the share of India in world rice export is very low which can be attributed to the fact that the average productivity of rice in the country is low and even in some rice producing states, the productivity is 40 to 50 per cent lower than the national average, in spite of having good potential capacity. The reasons of low productivity of rice in the country may be due to use of less quantity of chemical fertilizers, pesticides, more area under traditional varieties and more dependence on rain. If we want to increase our exports share in the world rice market, the production growth rate should be adequate surplus in the country. This requires careful analysis of low productivity of rice in the country. Besides, more important, the critical analysis is necessary to enquire into the constraints involved in rice export from India.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI KONSUMSI GAS DI INDONESIA

2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani
Keyword(s):  
Time Series ◽  
World Bank ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Industrial Growth ◽  
A Value ◽  
The World Bank ◽  
The World ◽  
Gas Consumption

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better

scholarly journals A Comparison of World and Domestic Price Volatilities of Oilseeds: The Ethiopian Case

2015 ◽  
Vol 7 (2(J)) ◽  
pp. 145-161
Author(s):  
Zerihun G. Kelbore
Keyword(s):  
Poverty Reduction ◽  
Time Series Data ◽  
Market Price ◽  
Price Volatility ◽  
World Market ◽  
Domestic Market ◽  
Series Data ◽  
The World ◽  
Price Risks ◽  
The Government

This study investigates and compares oilseeds price volatilities in the world market and the Ethiopian market. It uses a monthly time series data on oilseeds from February 1999 to December 2012; and analyses price volatilities using unconditional method (standard deviation) and conditional method (GARCH). The results indicate that oilseeds prices are more volatile, but not persistent, in the domestic market than the world market. The magnitude of the influence of the news about past volatility (innovations) is higher in the domestic market for Rapeseed and in the World market for Linseed. However, in both markets there is a problem of volatility clustering. The study also identified that due to the financial crisis the world market price volatilities surpassed and/or paralleled the higher domestic oilseeds price volatilities. The higher domestic oilseeds price volatility may imply that the price risks are high in the domestic oilseeds market. As extreme price volatility influences farmers` production decision, they may opt to other less risky, low-value and less profitable crop varieties. The implications of such retreat is that it may keep the farmers in the traditional farming and impede their transformation to the high value crops, and results in lower income hindering the poverty reduction efforts of the government. This is more important to consider today than was before, because measures undertaken to reduce poverty must bring sustainable change in the lives of the rural poor. For this reason, agricultural policies that enable farmers cope with price risks and enhance their productivity are crucial.

scholarly journals DAYA SAING EKSPOR PALA INDONESIA DI PASAR INTERNASIONAL

2019 ◽  
Vol 33 (2) ◽  
pp. 179-188
Author(s):  
Asrol Asrol ◽  
Heriyanto Heriyanto
Keyword(s):  
Time Series Data ◽  
International Market ◽  
World Market ◽  
Series Data ◽  
Maturity Stage ◽  
Composition Effects ◽  
Average Value ◽  
The World ◽  
Constant Market Share ◽  
Secondary Time

Indonesia is one of the largest producing and exporting countries for nutmeg commodities in the world market. Indonesia as a nutmeg exporting country is a country that imports nutmeg products. Nutmeg is one of Indonesia's leading spice export commodities on the world market. Based on the description in general, this study aims to analyze the competitiveness of Indonesian nutmeg in the world market. Specifically, this study aims to analyze the export position of nutmeg and the competitiveness of Indonesian nutmeg in the international market. The power used in this study is secondary time series data from 2007-2016. To answer the research objectives, it was analyzed using the Trade Specialization Index (ISP), Revealed Comparative Advantage (RCA) and Constant Market Share (CMS). Based on the results of the study indicate that for the position of Indonesian nutmeg exports on the world market, the average value of Indonesian ISPs on the world market from 2007-2016 was 0.988. This value indicates that the position or stage of Indonesian nutmeg export is at the maturity stage with an indicator value (0.81-1.00). Furthermore, the competitiveness of the results of the average Indonesian nutmeg RCA value on the international market which is calculated from 2007-2016 reached 19,554 because the value of Indonesian nutmeg RCA is greater than one, so Indonesia has a strong competitiveness in the export of nutmeg in the world and tends to be a country exporter rather than importer. For the CMS value of Indonesian nutmegs in the last five years period is negative on the standard growth, composition effects, and market distribution effects but the positive value on the effect of competitiveness.

scholarly journals MODEL PENAWARAN DAN PERMINTAAN MINYAK KELAPA SAWIT INDONESIA DI PASAR INTERNASIONAL

2020 ◽  
Vol 35 (3) ◽  
pp. 119-128
Author(s):  
Tia Sofiani Napitupulu ◽  
Djaimi B Akce ◽  
Almasdi Syahza ◽  
Brilliant Asmit ◽  
Syaiful Hadi
Keyword(s):  
Palm Oil ◽  
Time Series Data ◽  
Supply And Demand ◽  
Coconut Oil ◽  
Oil Prices ◽  
World Market ◽  
Least Square ◽  
Series Data ◽  
The World

ABSTRACT   Indonesia is the leading producer of palm oil in the world. In 2016 Indonesia and Malaysia produced 81% of the world's palm oil. This study aims to analyze the response of the supply and demand for Indonesian palm oil in the world market. This study used time-series data from 1980-2016. The model built is an econometric model, simultaneous equations. To answer the research objectives, the data were analyzed using the Two Stages Least Square (2SLS) method. The main finding of this study is that in the short term, there are no responsive variables. In the long term, the variable that is responsive to the supply of Indonesian palm oil is the lag area of Indonesian palm oil. In the Malaysian palm oil supply equation, the response variable is the lag area of Malaysian palm oil. In terms of domestic demand for Indonesian palm oil, there are no responsive variables both in the short and long term. In the equation of demand for Malaysian palm oil, the responsive variables are the price of Malaysian palm oil and the price of Malaysian coconut oil. In the international demand for palm oil, the responsive variables are the increase in world palm oil prices, world palm oil prices, 2-year lag in world palm oil prices, and GDP per capita Pakistan. In terms of price, the responsive variable affecting the price of Indonesian palm oil is the world price of palm oil.

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

scholarly journals PENGARUH KONSUMSI ENERGI DAN REZIM TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 401
Author(s):  
Zakiah Husna ◽  
Idris Idris
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Renewable Energy Consumption ◽  
Energy Regime ◽  
Negative Effect ◽  
Positive Effect

This study aims to determine the effect of energy consumption and regime on economic growth in Indonesia. The data used is secondary data in the form of time series data from 1988-2017, with documentation and library study data collection techniques obtained from relevant institutions and agencies. the variables used are economic growth (GDP), non-renewable energy consumption, renewable energy consumption and regime, the research methods used are: (1) Multiple Regression Analysis (OLS), (2) Classical Assumption Test results of research stating that: ( 1) non-renewable energy consumption has a positive effect on economic growth in Indonesia. (2) consumption of renewable energy has a positive effect on economic growth in Indonesia. (3) the energy regime has a negative effect on economic growth in Indonesia. (4) non-renewable energy consumption, renewable energy consumption and energy regime have a significant effect on economic growth in Indonesia. so only the energy regime has a negative effect on economic growth in Indonesia.

scholarly journals ANALISIS FAKTOR PENENTU INDEKS HARGA SAHAM GABUNGAN DI INDONESIA

2019 ◽  
Vol 1 (4) ◽  
pp. 37
Author(s):  
Yulizar Fikri ◽  
Ali Anis
Keyword(s):  
Economic Growth ◽  
Foreign Exchange ◽  
Stock Price ◽  
Price Index ◽  
Time Series Data ◽  
Secondary Data ◽  
Coefficient Of Determination ◽  
Series Data ◽  
Foreign Exchange Reserves ◽  
Stock Price Index

This study aims to determine the analysis of the determinants of the composite stock price index in Indonesia. The independent variables in this study are inflation as X1, foreign exchange reserves as X2, exchange rates as X3, and economic growth as X4, and the dependent variable of the composite stock price index as Y. The data used are secondary data in the formof time series data from 2010Q1 until 2019Q2, with data collection techniques, namely documentation from Bank Indonesia publications, the Central Statistics Agency, investing. comsite and library research. The research methods used are: (1) Multiple Linear Regression, (2) Classical Assumption Test (3) coefficient of determination. The results of this study indicate that:(1) inflation does not significantly influence the composite stock price index. (2) foreign exchange reserves have a significant positive effect on the composite stock price index. (3) the rupiah exchange rate has an influence on the composite stock price index and (4) economic growth hasno significant effect on the composite stock price index.

scholarly journals Pengaruh Rasio Kinerja Bank Terhadap Profitabilitas Industri Bank Umum Syariah di Indonesia

2019 ◽  
Vol 5 (3) ◽  
pp. 217
Author(s):  
Felix Efendy ◽  
Salman Fathoni
Keyword(s):  
Commercial Bank ◽  
Financial Services ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Return On Assets ◽  
Statistical Tool ◽  
Negative Effect ◽  
Positive Effect

The purpose of this study was to determine and analyze the effect of the level of bank health ratios measured by BOPO, FDR and NPF on increasing the profitability of the Sharia Commercial Bank industry in Indonesia, which is proxied by ROA. The data used in this study are secondary data including operational efficiency (BOPO), liquidity (FDR), Non Performing Finance (NPF) and Return On Assets (ROA) in the sharia commercial bank industry registered at Bank Indonesia. The data is a monthly time series data from 2015-2018 obtained through the official sharia banking statistics website, Financial Services Authority (https://www.ojk.go.id). To analyze it, researchers used a multiple linear regression model with statistical tool software EViews 9. From the observations and analysis of the data that has been done, the conclusions in this study are the BOPO, FDR and NPF on ROA which is an indicator of the Bank's health to measure profitability has a high relationship . The BOPO variable partially has a significant negative effect on profitability (ROA). FDR partially has a negative and significant effect on ROA. NPF partially has no positive effect on profitability.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

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