scholarly journals ANALISIS DAMPAK PENGELUARAN PEMERINTAH DI BIDANG PENDIDIKAN TERHADAP PDB PER KAPITA: SPENDING MORE OR SPENDING BETTER

2021 ◽  
Vol 6 (3) ◽  
pp. 211-226
Author(s):  
Achmad Rifa'i ◽  
Ganiko Moddilani
Keyword(s):  
Human Resources ◽  
Government Spending ◽  
Time Series Data ◽  
Education Sector ◽  
Series Data ◽  
Vector Error Correction ◽  
Development Indicators ◽  
Vector Error ◽  
The Government ◽  
Relationship Of

Government spending is the first way to create quality human resources through budget allocation commitments in the education sector. In turn, a labor market filled with quality human resources will encourage welfare and productivity and it will impact the national economy. This study aims to analyze the relationship of government spending in education to the aggregate welfare proxied using GDP per capita. This study used time-series data 1980-2018 from World Development Indicators (WDI) World Bank. Vector Error Correction Model (VECM) is employed to analyze the government spending in the education sector to the welfare. Empirically, the findings of this study reveal that government spending in the education sector affects aggregate welfare with a little magnitude. The issue of equity and disparity in fiscal capacity among regions is the main matter. On the other side, Geographic, social, cultural, and population conditions are challenges that must be solved by the government.

scholarly journals The Effect of Inflation on Financial Development Indicators in Iran (2000–2015)

2017 ◽  
Vol 12 (2) ◽  
pp. 53-62 ◽  
Author(s):  
Mahyar Hami
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Banking System ◽  
Series Data ◽  
Vector Error Correction ◽  
Development Indicators ◽  
Vector Error ◽  
Equilibrium Relationship ◽  
Proposed Model ◽  
Integration Test

Abstract Inflation and financial development are among the factors that influence economic growth and the interaction between them is a major issue in developing countries. The aim of this paper is to investigate the effect of inflation on financial development indicators in Iran using seasonal data over 2000-2015. To achieve the research objectives, time series data were collected from World Bank and seasonal inflation rate, with 5 financial development indicators were used to measure the research variables. Then I applied Johansen Co-integration Test and Vector Error Correction Model to estimate the proposed model. The results show that inflation has a negatively significant effect on financial depth and also positively significant effect on the ratio of total deposits in banking system to nominal GDP in Iran during the observation period. Also the existence of an equilibrium relationship between inflation and other 3 indicators of Iran`s financial development used in this study was rejected.

scholarly journals Microfinance Banks Dynamics Effect on Small-Scale Enterprise Development in Nigeria

2020 ◽  
Vol 6 (2) ◽  
pp. 64
Author(s):  
Adesola, Wasiu Adebisi ◽  
Ewa, Uket Eko ◽  
Arikpo, Oka Felix
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Survey Method ◽  
Small Scale ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Domestic Savings ◽  
Short Run ◽  
The Government

This study examined the effect of Microfinance Banks on the development of Small and Medium Scale Enterprises in Nigeria. This study was specifically meant to assess the extent to which microfinance banks loans and advances, investments and deposit mobilization affect the productivity of SMEs in Nigeria. The study employed the ex-pose facto research design. Time series data were collected from the CBN statistical Bulletin and SMEDAN annual publications using the desk survey method. The data were analysed using the Vector Error Correction Mechanism. Result from the analyses revealed that Microfinance banks loans and advances and investments do not have any significant effect on SMEs’ productivity in Nigeria both in the long run and short run period. The study further reveals that microfinance banks’ deposit mobilization does not have any significant effect on SMEs’ productivity in Nigeria in the long run, however, within the short run period microfinance banks deposits mobilization has a significant effect on SMEs’ productivity. Based on these findings, it was recommended that MFBs should lighten the condition for lending and increase the duration of lending to their customers, spreading the repayment over a long period of time to assist SMEs meet their funding needs. Also, the Government and its institutions, including the Central Bank, should work in concert to promote the sector, as a means of mobilizing domestic savings, widening the financial system, promoting enterprises, creating employment and income and reducing poverty.

Economic Turmoil in Islamic Banking Investment

ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Budiandru Budiandru ◽  
Sari Yuniarti
Keyword(s):  
Interest Rates ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Islamic Banking ◽  
Vector Error Correction ◽  
Investment Financing ◽  
Vector Error ◽  
Operational Activities

Investment financing is one of the operational activities of Islamic banking to encourage the real sector. This study aims to analyze the effect of economic turmoil on investment financing, analyze the response to investment financing, and analyze each variable's contribution in explaining the diversity of investment financing. This study uses monthly time series data from 2009 to 2020 using the Vector Error Correction Model (VECM) analysis. The results show that the exchange rate, inflation, and interest rates significantly affect Islamic banking investment financing in the long term. The response to investment financing is the fastest to achieve stability when it responds to shocks to the composite stock price index. Inflation is the most significant contribution in explaining diversity in investment financing. Islamic banking should increase the proportion of funding for investment. Customers can have a larger business scale to encourage economic growth, with investment financing increasing.JEL Classification: E22, G11, G24How to Cite:Budiandru., & Yuniarti, S. (2020). Economic Turmoil in Islamic Banking Investment. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.17206.

scholarly journals The impact of bank-specific and macroeconomic variables on profitability of Islamic rural bank in Indonesia

2019 ◽  
Vol 5 (3) ◽  
Author(s):  
Muhammad Sanusi
Keyword(s):  
Banking Sector ◽  
Time Series Data ◽  
Series Data ◽  
Estimation Model ◽  
Policy Makers ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
Vector Error ◽  
The Impact

This paper investigates the impact of bank-specific and macroeconomic variables on the profitability of Islamic rural bank (BPRS) in Indonesia. Using monthly time series data from January 2010 - December 2018. The estimation model used is a vector error correction model to analyze the long-term and short-term relationships between bank-specific and macroeconomic variables on the profitability of Islamic rural bank. The results showed that CAR and LnTA had a significant positive relationship, while NPF, BOPO and IPI had a negative and significant relationship to the profitability of Islamic rural banks. But FDR and Inflation variables are not significantly related to the profitability of Islamic rural bank. The results leave implications for policy makers, investors and banking sector managers. Based on evidence that bank profitability is more influenced by internal banks (as specific as banks), this research can help Islamic rural banks to help them understand which factors are important to be analyzed to obtain higher profitability.

scholarly journals Government Expenditure and Economic Growth in South Africa: A Vector Error Correction Modelling and Granger Causality Test

2017 ◽  
Vol 9 (4) ◽  
pp. 164
Author(s):  
Kagiso Molefe ◽  
Ireen Choga
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Error Correction ◽  
Granger Causality ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Vector Error Correction ◽  
Vector Error ◽  
The Relationship

Previous studies generally find mixed empirical evidence on the relationship between government spending and economic growth. This study re-examine the relationship between government expenditure and economic growth in South Africa for the period of 1990 to 2015 using the Vector Error Correction Model and Granger Causality techniques. The time series data included in the model were gross domestic Product (GDP), government expenditure, national savings, government debt and consumer price index or inflation. Results obtained from the analysis showed a negative long-run relationship between government expenditure and economic growth in South Africa. Furthermore, the estimate of the speed of adjustment coefficient found in this study has revealed that 49 per cent of the variation in GDP from its equilibrium level is corrected within of a year. Furthermore, the study discovered that the causality relationship run from economic growth to government expenditure. This implied that the Wagner’s law is applicable to South Africa since government expenditure is an effect rather than a cause of economic growth. The results presented in this study are similar to those in the literature and are also sustained by preceding studies.

scholarly journals Savings Mobilization and Financial Development during the Multicurrency Regime Period in Zimbabwe

2017 ◽  
Vol 9 (3(J)) ◽  
pp. 152-162
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Financial Development ◽  
Time Series Data ◽  
Empirical Literature ◽  
Series Data ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
The Subject ◽  
The Relationship

This paper seeks to investigate the relationship between savings and financial development in Zimbabwe using both autoregressive distributive lag (ARDL) and vector error correction model (VECM) approaches for comparison purposes with monthly time series data from January 2009 to August 2015. Four distinct hypotheses emerged from the literature and these are the savings-led financial development, financial development-led savings, feedback effect and the insignificant/no relationship hypothesis. The existence of diverging and contradicting views in empirical literature on the subject matter is evidence that the linkage between savings and financial development is still far from being concluded. Both F-Bounds and Johansen co-integration tests observed that there is a long run relationship between savings and financial development in Zimbabwe. What is even more unique about this study is that both ARDL and VECM noted the presence of a bi-directional causality relationship between savings and financial development in the short and long run in Zimbabwe. The implication of this study is that in order to increase economic growth, Zimbabwe authorities should increase savings mobilization efforts in order to boost financial development, which in turn attracts more savings inflow into the formal financial system.

Investigating the non-linear Wagner’s hypothesis in South Africa

2017 ◽  
Vol 8 (4) ◽  
pp. 462-473 ◽  
Author(s):  
Temitope Lydia A. Leshoro
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Government Spending ◽  
Time Series Data ◽  
Series Data ◽  
Unique Contribution ◽  
Content Type ◽  
Non Linear ◽  
Regression Error ◽  
The Government

Purpose The commonly adopted view of the relationship between government spending and economic growth follows the Keynesian approach, in which government spending is considered to determine economic growth. However, there is another theory, which suggests that economic growth in fact determines government spending. This is Wagner’s hypothesis. The purpose of this paper is to investigate which of the two approaches applies to South Africa, and further observes the level of non-linearity between the two variables. Design/methodology/approach This study was carried out using quarterly time series data from 1980Q1 to 2015Q1. Granger causality technique was used to observe the direction of causality between the two variables, while regression error specification test (RESET) was employed to determine whether the variables exhibit linear or non-linear behaviour. This was followed by observing the threshold band, using two techniques, namely, sample splitting threshold regression and quadratic generalised method of moments. Findings The causality result shows that South Africa follows Wagner’s law, whereby government spending is determined by economic growth, supporting Odhiambo (2015). The RESET result shows that the variables depict a non-linear relationship, thus the government spending economic growth model is non-linear. It was found that if positive economic development is to be achieved, economic growth should preferably be kept within the −1.69 and 3.0 per cent band, and specifically above 1 per cent band. Originality/value The unique contribution of this study is that no previous study has attempted the non-linear government spending-economic growth nexus whether within the Keynesian or Wagner law for South Africa.

scholarly journals Pengaruh Variabel Makroekonomi Terhadap Jumlah Penghimpunan Zakat di Indonesia

2020 ◽  
Vol 25 (2) ◽  
pp. 199
Author(s):  
Sheema Haseena Armina
Keyword(s):  
Exchange Rate ◽  
Time Series Data ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Dollar Exchange Rate ◽  
Vector Error Correction ◽  
Vector Error ◽  
Analysis Technique

Purpose this study analyzes the effect of the industrial production index, the dollar exchange rate, inflation and the BI 7DRR on the amount of zakat collection from January 2015 to December 2018to identify the potential of zakat to support alleviation in Indonesia. Methodology/Approach: this study uses a quantitative approach with a Vector Error Correction Model (VECM) data analysis technique with time series data from Januari 2015 t0 December 2018. Findings: The results show that in short term causality, there is an effect between long-term and short-term between zakat as the dependent variable with inflation and the dollar exchange rate. However, there is no short-term causality effect between BI 7-DRR and IPI to the amount of zakat while the long-term causality effect, all independent variables have a significant effect to the dependent variable namely zakat. Implications: The integration of Islamic philanthropic institutions has the potential to channel aid and support to alleviate poverty. This study adds the IPI variable to interpret the GDP variable in analyzing its effect on zakat.

scholarly journals Deteminant factors to improve Indonesian cocoa performance

2021 ◽  
Vol 892 (1) ◽  
pp. 012073
Author(s):  
A Prasetyo ◽  
Suswadi ◽  
A F Aziez
Keyword(s):  
Exchange Rate ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Export Performance ◽  
Series Data ◽  
Causality Test ◽  
Vector Error Correction ◽  
Multilateral Cooperation ◽  
Vector Error ◽  
Cocoa Production

Abstract Encouraging the growth of Indonesia’s agricultural sector is important for improving the export performance of Indonesia’s leading commodities. The purpose of the study was to determine the effect of the IDR exchange rate and the shock of the determinants of cocoa exports on the growth of Indonesian cocoa exports. The research was conducted using time series data from 1969-2017. This study uses the Vector Error Correction Model (VECM). The analysis showed that the data is stationary at the first difference. The causality test shows that cocoa production, IDR exchange rate, GDP affect the growth of Indonesian cocoa exports, but world cocoa prices have no effect on cocoa exports. The results of the impulse response factor (IRF) analysis show that the response of cocoa exports to changes in the exchange rate is more volatile when compared to the response of production, GDP, and world cocoa prices to Indonesian cocoa exports. Analysis of variance decomposition shows that the contribution of the IDR exchange rate to export growth is greater than the contribution of world cocoa prices, GDP, and production at the beginning of exports, however over time the influence of the IDR exchange rate will decrease and it is the number of production factors that will affect Indonesia’s cocoa exports. Indonesia needs to increase production by maintaining the quality of cocoa according to export needs considering the demand for cocoa that will continue to increase. Bilateral or multilateral cooperation is needed to strengthen cocoa export cooperation with major importing.

scholarly journals The Influence of Government Expenditure in Education and Health Sector on The Poverty in Gorontalo

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Windiyawati M Niuwa ◽  
Fahrudin Zain Olilingo ◽  
Ivan Rahmat Santoso
Keyword(s):  
Quantitative Methods ◽  
Time Series Data ◽  
Government Expenditure ◽  
Health Sector ◽  
Secondary Data ◽  
Education Sector ◽  
Series Data ◽  
Regression Equations ◽  
Fiscal Balance ◽  
The Government

This study aims to determine how much influence the Government Expenditure of Education Sector and Health Sector on Poverty in Gorontalo City. This research uses quantitative methods. The data used in this study are secondary data sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance Ministry of Finance using the econometrics method through multiple linear regression equations in the form of 10-year time series data (2008-2017). The results showed that 1) Education sector government expenditure has a positive effect on the level of poverty in Gorontalo City 2) Government health sector expenditure has a negative effect on poverty levels in Gorontalo City. Keywords: Poverty, Government Expenditure, Education Sector, Health Sector.

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