scholarly journals An Empirical Assessment of the Effect of Taxes and Interest Rate on Economic Growth in Jordan: An Application of Dynamic Autoregressive-Distributed Lag

2020 ◽  
Vol 11 (3) ◽  
pp. 92
Author(s):  
Bashar Younis Alkhawaldeh ◽  
Suraya Mahmood ◽  
Aminu Hassan Jakada
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Time Series Data ◽  
Series Data ◽  
Negative Effects ◽  
Distributed Lag ◽  
Long Run ◽  
Capital Ratios ◽  
The Government ◽  
The Interest Rate

This study aims to examine the effect of taxes and interest rate on economic growth in Jordan by employing the time series data from 1970-2019. Furthermore, this study applies the Augmented Dickey-Fuller, Phillips-Perron, Saikonen and Lütkepohl and Zivot-Andrews test of unit root. Moreover, the study uses cointegration test developed by Gregory and Hansen to investigate the long-run relationship and the dynamic autoregressive distributive lags were used for the estimation result. The long run and short-run estimates reveal the positive and negative effects of taxes and the interest rate on economic growth respectively. While the 1997 Asian financial crisis and 2015 food crisis show a negative effect on economic growth. Based on the findings, the study recommends that the government authorities in Jordan should lower the interest rate that will increase the investment in order to have faster economic growth. The government should urgently plan to broaden the tax base to stimulate economic growth in Jordan. Regulators should encourage banks to start raising capital immediately to strengthen capital ratios well above prudential norms, and prepare schemes for public recapitalization and, where appropriate, public purchases of non-performing assets. The next policy fulfils the government's need to enhance agricultural productivity through better technology to ensure long-term food security and reduce poverty, as well as help to boost economic growth.

scholarly journals PENGARUH FAKTOR INTERNAL DAN EKSTERNAL BANK TERHADAP KEMAMPUAN BANK SYARIAH DALAM MENYALURKAN PEMBIAYAAN

2020 ◽  
Vol 7 (8) ◽  
pp. 1484
Author(s):  
Indah Rahmawati ◽  
Nisful Laila
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Time Series Data ◽  
Series Data ◽  
Islamic Bank ◽  
Distributed Lag ◽  
Bank Financing ◽  
Long Run ◽  
Financing Risk ◽  
Negative Effect

This study aims to review the effect of internal bank factors and macroeconomics factors such as liquidity, financing risk, profit-loss sharing rate, the level of securities ownership, interest rate, inflation, and economic growth against Islamic bank financing in Indonesia.  The data used for this research is time series data with monthly frequency from January 2014 to December 2019. Autoregressive Distributed Lag (ARDL) Model results show that in the short term, inflation and economic growth have a significant positive effect on Islamic bank financing. While variable liquidity, financing risk, the level of securities ownership and interest rate have negatively correlated with Islamic bank financing. In the long run liquidity, the level of securities ownership, and economic growth is positive and significant, while financing risk and interest rate have a significant negative effect on Islamic bank financing. In otherwise, profit-loss sharing rate is negative and not significant both in the short and long run.  Keywords: ARDL, Financing, Islamic Banking, Internal Bank Factors, External Bank Factors

scholarly journals FINANCIAL CRISES AND ECONOMIC GROWTH OF NIGERIA

2021 ◽  
Vol 8 (1) ◽  
pp. 13-33
Author(s):  
Ogbebor Peter ◽  
◽  
Awonuga Adesola ◽  
Ezenwa Anthony ◽  
Oamen Gregory ◽  
...  
Keyword(s):  
Economic Growth ◽  
Financial Crises ◽  
Time Series Data ◽  
Positive Impact ◽  
Trade Openness ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Government

The effects of financial crises on economic growth of countries are destabilizing and research interests in this area in the case of Nigeria has not be sufficiently exhibited, hence, this study. The study examined the effect of financial crises on economic growth in Nigeria using time series data that covered a period from 1986 to 2019. For data analysis, the major empirical tools utilized are Autoregressive Distributed Lag (ARDL) Co-integration and ECM techniques, following the result of the unit root tests that revealed mixture of I(0) and I(1). The ARDL Co-integration result revealed that long run relationship exists among the selected variables of interest in this study. Furthermore, ECM technique revealed that Financial Crises have negative and significant effect on Economic growth in Nigeria both in the long run and short run. Also, the effect of current value of Inflation was found to be negative and significant in the long run and that of Trade openness was positive and statistically significant in the short run. Also, the study found that there are long run and short run positive and significant impacts of Liberalization on Economic growth. Finally, the findings revealed that the current year values of Money Supply have negative and significant impact on current Economic growth; however, its past value has positive impact. The study concluded that a long-run relationship existed between financial crises and economic growth; specifically, such crises have negative and significant effects on economic growth of Nigeria. The government in general should tinker with the current policy prescription regarding the establishment of financial institutions especially those that cannot qualify for the status of domestically systematically important to avert recurring crises in the financial sector that have impacted the macro-economy negatively.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

Export-led Growth Hypothesis: Econometric Evidence from Malaysia

2013 ◽  
Vol 14 (2) ◽  
pp. 94-112
Author(s):  
Hassanudin Mohd Thas Thaker ◽  
Tan Siew Ee ◽  
Sushant Vaidik
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Paper Cover ◽  
Econometric Evidence ◽  
Augmented Dickey Fuller ◽  
Growth Hypothesis

The objective of this paper is to test the validity of the Export-led Growth Hypothesis (ELGH) in the Malaysian economy. Malaysia has always been considered to have attained its growth primarily through exports (Okposin, Bassey, Hamid, Halim, and Boon, 1999; Mun, 2008; Mahathir, 1990). In the past, several studies on this topic have been conducted but their analyses were limited to relationships using Bound-testing, Autoregressive –Distributed Lag (ARDL) and the Toda Yamamoto analysis. Empirical data and analysis in our paper cover a 21 – year span and quarterly time-series data (1991:Q1 – 2012:Q4) are used to test this ELG hypothesis. Also, many dynamic econometric measures including the Augmented Dickey Fuller (ADF) and Phillip – Perron (PP) unit root tests, Cointegration test as well as the Vector Error Correction model (VEC) for the long run have been applied. Based on these generic models, both real exports and capital stock (productivity) are found to have stimulated positive adjustments to economic growth in the long run whereas real exchange rate is found to have influenced economic growth negatively. Overall, our conclusion is that the ELG hypothesis seems applicable to Malaysia in the long run.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM

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.

scholarly journals Financial innovation and economic growth: evidence from Zimbabwe

2016 ◽  
Vol 13 (2) ◽  
pp. 65-75 ◽  
Author(s):  
Alex Bara ◽  
Calvin Mudzingiri
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Time Series Data ◽  
Financial Time Series ◽  
Financial Innovation ◽  
Dark Side ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Causality Tests

The role of financial innovation on economic growth in developing countries has not been actively pursued. Stemming from the finance-growth nexus, literature suggests that financial innovation has a relationship to growth, which could be either positive or negative. Implicitly, financial innovation has a good and a dark side that affects growth. This study establishes the causal relationship between financial innovation and economic growth in Zimbabwe empirically. Using the Autoregressive Distributed Lag (ARDL) bounds tests and Granger causality tests on financial time series data of Zimbabwe for the period 1980-2013, the study finds that financial innovation has a relationship to economic growth that varies depending on the variable used to measure financial innovation. A long-run, growth-driven financial innovationis confirmed, with causality running from economic growth to financial innovation. Bi-directional causality also exists after conditionally netting-off financial development. Policies that enhance economic growth inter-twined with financial innovation are essential, if developing countries, such as Zimbabwe, aim to maximize economic development

scholarly journals The Nexus between Export and Economic Growth in Tanzania

2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Causality Test ◽  
Goods And Services ◽  
Long Run ◽  
Causality Tests ◽  
The Government ◽  
Econometrics Analysis

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.

scholarly journals Impact of Women Education on Economic Growth: An Evidence from Pakistan

2021 ◽  
Vol 3 (2) ◽  
pp. 113-120
Author(s):  
Kiran Zahra ◽  
Mudassar Yasin ◽  
Baserat Sultana ◽  
Zulqarnain Haider ◽  
Raheela Khatoon
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Economic Development ◽  
Time Series Data ◽  
Essential Element ◽  
Series Data ◽  
Education Expenditure ◽  
Long Run ◽  
The Government ◽  
The Impact

Education is the most fundamental right in the current situation, and it is an essential element of economic growth. No country can achieve economic development and goals without investing in education. Pakistan’s economic development is possible when education is equal for both men and women, but the government did not give importance to the sector as it deserved. This study investigated the determinants of female higher education in Pakistan and the impact of women's education on the economic growth of Pakistan. This study utilized time-series data from 1991 to 2019. The autoregressive distribution lag (ARDL) model is applied to estimate the impact. The result shows that in Pakistan, education expenditure has no positive effect on female education. In contrast, a positive relationship between female higher education and GDP growth exists, but this relation is not strong in the short run and long run.

scholarly journals Impact of Human Capital Underutilization on Economic Growth: the Case of India

2021 ◽  
Author(s):  
Vijaya Kumar M ◽  
Balu B
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Negative Relationship ◽  
Series Data ◽  
International Labor Organization ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Adf Test

Abstract This study investigated the effect of human capital underutilization on the economic growth of India. It has used time-series data accessed from the International Labor Organization (ILO) and World Bank database. This paper estimated the relationship between the underutilization of human capital on economic growth by applying the econometric tests like Augmented Dickey-Fuller (ADF) Test, Johansen Integration Test, and the Autoregressive Distributed Lag (ARDL) model. The results revealed that in the long run human capital underutilization has a negative relationship on GDP and labor productivity and it does not in the short run. The study recommends that specific policy legislations in the Indian labor markets are required for addressing the problem of human capital underutilization and thereby accelerating the economic growth and productivity for the current and future generations.

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