scholarly journals Factors Affecting the Domestic Price of Rice in Indonesia

JEJAK ◽  
2017 ◽  
Vol 10 (1) ◽  
pp. 155-171
Author(s):  
Wawan Hermawan ◽  
Fitrawaty Fitrawaty ◽  
Indra Maipita
Keyword(s):  
Exchange Rate ◽  
Capita Income ◽  
Least Square ◽  
Series Data ◽  
Domestic Price ◽  
Per Capita Income ◽  
Domestic Prices ◽  
Rice Prices ◽  
Per Capita ◽  
The Exchange Rate

This study aims to determine the factors that have dominant influence to domestic prices of rice. Ordinary Least Square is used to run model with time series data from BPS. The results of the study we found that domestic rice production and the exchange rate have negative effect on domestic rice prices, in contrast the international rice price and the level of income per capita. Domestic production of rice and international prices of rice do not significantly affect domestic prices of rice, while the exchange rate and per capita income significantly affect domestic prices of rice respectively at the alpha level of 10 and 1 percent. Per capita income is a the greatest influence on the formation of domestic prices of rice by the estimated coefficient of 3.5985. This condition also describe the level of society's dependence on rice consumption. The high of difference of domestic price of rice with the international rice prices can be detrimental to the community while providing a strong emphasis on increasing imports of rice as well as trigger the illegal market.

scholarly journals Micro Financing and Economic Development: A Sectorial Microcredit Study from Nigeria

2021 ◽  
Vol 04 (08) ◽  
Author(s):  
ZAAGHA, Alexander Sulaiman ◽  
Keyword(s):  
Economic Development ◽  
Real Estate ◽  
Capita Income ◽  
Agricultural Sector ◽  
Manufacturing Sector ◽  
Least Square ◽  
Series Data ◽  
Per Capita Income ◽  
Integration Test ◽  
Per Capita

This study examined the effect of sectorial microcredit allocation on Nigeria economic development. Time series data were sourced from Central Bank of Nigeria Statistical Bulletin from 1992-2019. Nigeria per capita income was proxied for dependent variables while microcredit to agricultural sector, mining and querying, manufacturing sector, real estate and construction and transport and communication were proxies for independent variables. The study employed descriptive statistics and multiple regression models to estimate the relationship that exists between sectorial microcredit allocation and economic development. Ordinary Least Square (OLS), Augmented Dickey Fuller Test, Johansen Co-integration test, normalized co-integrating equations, parsimonious vector error correction model and pair-wise causality tests were used to conduct the investigations and analysis. The study found that 59 percent variation on Nigeria per capita income can be traced to variation on microcredit allocation to the various sectors of the economy. microcredit to transport and communication have positive and no significant effect, microcredit to real estate and construction have negative but no significant effect, microcredit to manufacturing sector have negative and significant, microcredit to mining and querying have positive and significant effect while microcredit to agricultural sector have positive and significant effect on Nigeria per capita income. From the findings, the researcher concludes that microcredit allocation have significant effect on Nigeria economic development. It recommends that for re-introduction of the abolished compulsory sectorial lending operation and sectorial reforms to attract microcredit. Microfinance banks should be encouraged to increase their branches so as to reach out and provide loans to more clients in order to achieve greater investment purposes. Government should further encourage the activities of micro finance banks by creating enabling environment so that they can further support the growth of business enterprises in Nigeria.

scholarly journals Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods

2018 ◽  
Vol 2 (1) ◽  
pp. 24
Author(s):  
Darman Saputra
Keyword(s):  
Panel Data ◽  
Local Governments ◽  
Capita Income ◽  
Oil And Gas ◽  
Random Effect ◽  
Least Square ◽  
Per Capita Income ◽  
Processing Industry ◽  
Factors Affecting ◽  
Per Capita

The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. The Feasible Generalized Least Square (FGLS) method can be used to estimate the regression parameters for incomplete panel data for a one-way random effect. In this model produce the best model with non-oil and gas GRDP data. The variables that fulfill it are the processing Industry, service, and agriculture of Forestry and Fishery.  Therefore looking at the above model can be concluded non-oil and Gas GRDP has three factors that affect per capita income in Bangka Belitung. This should be a reference of local governments to further improve the quality or production in agriculture and services because this potential is more promising for the future. Software used to analyze data in this paper is with R.

scholarly journals Socio-Economic and Demographic Factors of Poverty Alleviation in Pakistan: A Case Study of Southern Punjab

2020 ◽  
Vol 6 (2) ◽  
pp. 525-538
Author(s):  
Rashid Ahmad ◽  
Muhammad Zahir Faridi
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Capita Income ◽  
Household Head ◽  
Rural Poverty ◽  
Least Square ◽  
Per Capita Income ◽  
High Dependency ◽  
Per Capita ◽  
Dependency Rate

This study aims to explore the socio-economic and demographic determinants of poverty in Southern Punjab by using the cross sectional data consisting of 785 household heads. Binary logistic regression  and ordinary least square method are used for estimation. The findings exhibit that the variables like family system, household size, presence of disease and status of employment of household head are positively and significantly related to  poverty whereas household head age, rural-to-urban migration,  years of schooling,  number of earners, women status of work, remittances, the physical assets value and ownership of house significantly and negatively influence the likelihood of poverty and positively influence the per capita income of the households in Southern Punjab. The study also provides the comparison of regional and division level. It is concluded that DG Khan division is the poorest among all the divisions of the southern Punjab. In DG Khan Division, the households have less education, high dependency ratio. In rural areas of southern Punjab, there is more poverty as compare to urban areas. The rural poverty is due to many factors like high dependency rate, lower level of education, adoption of profession, lower per capita income, dissaving. It is suggested that education should be promoted, employment opportunity should be provided so that dependency rate may be reduced, rural areas should be restructured by provision of basic necessities of life.

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>

scholarly journals Determinants of Rice Import Demand in Nigeria

2020 ◽  
Vol 24 (5) ◽  
pp. 923-931
Author(s):  
W.A. Yusuf ◽  
S.A. Yusuf ◽  
A.A.A. Adesope ◽  
O.Z. Adebayo
Keyword(s):  
Exchange Rate ◽  
Error Correction ◽  
Capita Income ◽  
Import Price ◽  
Import Demand ◽  
Per Capita Income ◽  
Long Run ◽  
Short Run ◽  
Rice Consumption ◽  
Per Capita

Primarily, the study examined the determinants of rice import demand in Nigeria by assessing the short run and long run dynamic model  relationships among the determinants, trends and extent of causality among per capita income, population, exchange rate and price of rice imports were equally examined, using data obtained from the Central Bank of Nigeria (CBN) and National Bureau of statistics (NBS) over the period 1961 to 2013. Data obtained showed the perceived determinants of imports demand for rice in Nigeria were local rice production, rice import price, rice consumption, per capita income, and exchange rate, price of local rice, domestic stock variation, maize price, meat price and demographic  development. The short run dynamic model result showed that rice consumption, price of meat, price of maize, local rice quantity, demography development and stock variance are statistically significant at 5%. The significance of the coefficient of the error correction term confirmed theappropriateness of the error correction approach which also showed that ignoring the long run relationship is detrimental. The result however, revealed that rice import demand increases significantly with increasing rice consumption, increasing price of meat, increasing price of maize (keeping that for imported rice unchanged) and increasing demography development. Rice import price, per capita income, price of local rice and exchange rate had no significant effects on rice import demand. The study therefore recommends that locally-produced rice should be intensively improved. Keywords: demography, determinants, Error correction mechanism, rice import demand

scholarly journals PERILAKU DANA PIHAK KETIGA DALAM MERESPON PERUBAHAN VARIABEL EKONOMI MAKRO PADA BANK UMUM SWASTA NASIONAL (BUSN) PROVINSI JAWA TIMUR PERIODE 2000-2012

2013 ◽  
Vol 11 (2) ◽  
pp. 184
Author(s):  
Dhurotus Sangadah
Keyword(s):  
Interest Rates ◽  
Capita Income ◽  
Least Square Method ◽  
Equation Model ◽  
Least Square ◽  
Third Party ◽  
Per Capita Income ◽  
Dependent Variables ◽  
Per Capita ◽  
Saving Deposit

The purpose of this reserach is to knowing of responbility of dependent variabel to exchange of makro economics variable at Excahage Commercial Bank province of East Java. The model analysis is Doubled Linear Regression with  employs the OLS (Ordinary Least Square) method. In this research will be used four regression with four dependent variables. In the equation model Saving Deposits, Demand Deposits, Tme Deposits, Third Party Funds are dependent variables and per capita income, interest rate, inflation are independent variables. Result of regression was showed that Saving Deposit more sensitive to respon change of inflations variable that showed by its probability is 0,0024. Time deposit moere sensitive to respon change of interest rates variable taht  showed by its probability was 0,0012. Per capita income  has same respon of all dependent variable that swowed by its probability was 0,0000

scholarly journals ANALISIS MIDDLE INCOME TRAP DI INDONESIA

2017 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Asmirawati Asmirawati
Keyword(s):  
Capita Income ◽  
Direct Investment ◽  
Least Square ◽  
High Tech ◽  
Per Capita Income ◽  
Middle Income ◽  
Level Of Education ◽  
Income Per Capita ◽  
Per Capita ◽  
Middle Income Trap

This paper aims to analyze middle income trap in Indonesia where per capita income is the main indicator in determining whether a country is included in the middle income category or not. By looking at the effect of high technology products , education level, direct investment and dependent ratio on per capita income in Indonesia. The results of this model use the ordinary least square method, which shows that the export of high-tech products has a positive and significant effect on per capita income, the level of education has a positive and significant effect on per capita income, direct investment has a negative and significant effect on per capita income, the ratio has a positive and significant effect. income per capita and high-tech product exports, level of education, direct investment, and the ratio have a significant effect on income per capita in Indonesia.

scholarly journals Openness and Growth: Evidence from Korea for 1986-2004

2008 ◽  
Vol 9 (2) ◽  
pp. 27-35
Author(s):  
Jae-Hyung Lee
Keyword(s):  
Capita Income ◽  
Regulatory Reform ◽  
Income Growth ◽  
Series Data ◽  
Substantial Contribution ◽  
Per Capita Income ◽  
Annual Series ◽  
Korean Economy ◽  
Per Capita ◽  
Capita Income Growth

By utilizing a unique annual series data of the Korean economy from 1986 co 2004, this paper discovers chat differences between two indicators of openness (i.e., trade and finance) are causal co the differentials in real per capita income growth race. The empirical evidence is consistent with the hypothesis that, with ocher factors given, greater openness co finance and trade makes a substantial contribution co higher real per capita income growth rate. Therefore, in order to increase real per capita income growth race, Korean economic policies must pursue greater openness to trade and finance as well as regulatory reform.

scholarly journals EFFECT OF TAX REVENUE ON ECONOMIC DEVELOPMENT: EVIDENCE FROM NIGERIA

2021 ◽  
pp. 17-32
Author(s):  
Okenwa Ogbodo ◽  
Chike Nweze
Keyword(s):  
Economic Development ◽  
Capita Income ◽  
Income Tax ◽  
Series Data ◽  
Tax Revenue ◽  
National Bureau ◽  
Significant Positive Effect ◽  
Per Capita Income ◽  
Per Capita ◽  
Positive Effect

The main objective of this study is to ascertain the effect of Tax Revenue on Economic Development with a focus on Nigeria. The specific objectives were to determine; the effect of Companies’ Income Tax on Per Capita Income, Petroleum Profit Tax on Per Capita Incomeof Nigeria from 2000-2019. This study employed the use of time series data and Ex-post facto research design was adopted. Secondary data were sourced from Central Bank of Nigeria (CBN), Statistical Bulletin, Federal Inland Revenue Service (FIRS), World Bank Statistical Bulletin and Annual Abstract of Statistics from the National Bureau of Statistics (NBS). Inferential statistics of the hypotheses were carried out with the aid of E-views 10 statistical software using Ordinary Least Square (OLS) regression analysis, Granger Causality test. The study found that companies’ income tax has a significant positive effect on per capita income of Nigeria; petroleum profit tax has a significant positive effect on per capita income of Nigeria; It was recommended inter alia that federal government of Nigeria should underpin public financial management reforms, strengthen supervisory and transparency practices, improve tax administration, and fight tax evasion.

scholarly journals The Impact of Per Capita Income and Labour Absorption toward Poverty Level in Gorontalo Province

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Nelvi Oktaviani R Gobel ◽  
Sri Endang Saleh
Keyword(s):  
Capita Income ◽  
Time Series Data ◽  
Negative Impact ◽  
Positive Impact ◽  
Series Data ◽  
Per Capita Income ◽  
Poverty Level ◽  
Per Capita ◽  
The Impact ◽  
Labour Absorption

This research aims to investigate the impact of per capita income and labour absorption toward poverty level in Gorontalo Province during 2012-2017. This research uses time-series data model from secondary datasets that is obtained from Central Statistics Bureau (Badan Pusat Statistik, BPS). Main findings of this research shows that per capita income has negative impact on poverty level in Gorontalo province while labour absorption has positive impact on poverty level in Gorontalo Province. Keywords: Poverty; Per Capita Income; Labor Absorption

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