scholarly journals Nexus between Economic Growth, Tourism Revenue and Financial Development in Bangladesh: A Time Series Analysis

2019 ◽  
Vol 9 (3) ◽  
pp. 134
Author(s):  
Syeda Sumaiya Habib ◽  
Md. Shahanawaz Sharif ◽  
Mohammad Amzad Hossain
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Financial Development ◽  
Positive Impact ◽  
Series Data ◽  
Series Analysis ◽  
Long Run ◽  
Short Run ◽  
Tourism Revenue

The main objective of this study is to analyze the nexus between economic growth, tourism revenue, and financial development in Bangladesh. This paper uses time series data from 1995 to 2016. Advance technique of time series analysis: Johansen Cointegration Approach is used to test the Cointegration among variables. Moreover, the Vector Error Correction (VECM) has been applied to study the long run and short run association among variables. The outcome of this study reveals that the tourism revenue and financial development has positive impact on economic growth in the long run. Variance decomposition and impulse response function also supports the positive association. According to the estimation of Granger Causality also reveals the unilateral direction in short run economic growth to tourism revenue. Providing more credit by financial sector to invest more on infrastructure and promoting Bangladesh as well as insuring proper security for foreign visitors would increase the revenue of this sector, which in turn stimulates economic growth of the country.

scholarly journals Financial Development and Stock Traded Contributions towards Economic Growth

2015 ◽  
Vol 2 (1) ◽  
pp. 5-8
Author(s):  
Shehper Maryam Zafar ◽  
Nadia Bukhari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Development ◽  
Positive Relationship ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Long Term Impact

This purpose of this research is check the long run as well as short run impact of Financial Development and Stock traded on the economic growth in the scenario of Pakistan. The time series data has taken for the year 1988-2013. This paper utilized ARDL methodology to determine long-term impact of Financial Development and Stock Traded on Economic growth. Further Granger Causality Check has used to check a uni-directional relationship. The results of this test support that FD and stock traded has a uni-directional impact over economic growth. Further, it has depicted from ARDL that there is a positive relationship between FD and Economic Growth as well as Stock Traded and Economic Growth.

scholarly journals Analysis of FDI and Financial improvements for the Economic growth

2017 ◽  
Vol 4 (1) ◽  
pp. 29-32
Author(s):  
Nadia Bukhari ◽  
Atiq ul Rahman Malik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Financial Development ◽  
Positive Relationship ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Long Term Impact

This study is conducted in order to check the long run as well as short run impact of FDI and Financial Development on the economic growth. The study is conducted in the scenario of Pakistan and the time series data is taken for the year 1972-2013. ARDL methodology is used to determine whether FDI has long-term impact on Economic growth or not. Moreover, Granger Causality is used to check a uni-directional relationship and the results support that FDI has an impact over economic growth. Further, it is depicted from ARDL that there is a positive relationship between FDI and Economic Growth.

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.

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 Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

The Dynamics of Exports and Economic Growth: Assessing the Evidence from Nigeria

2018 ◽  
Vol 4 (1) ◽  
pp. 15-22
Author(s):  
Clement A.U. Ighodaro ◽  
Ovenseri-Ogbomo F. O.
Keyword(s):  
Economic Growth ◽  
Social Services ◽  
Time Series Data ◽  
Positive Impact ◽  
Capital Expenditure ◽  
Impulse Response Function ◽  
Series Data ◽  
Vector Autoregressive ◽  
Long Run ◽  
Short Run

The paper empirically examines the dynamics of exports and economic growth in Nigeria using time series data for 1970 to 2017. The Vector autoregressive model (VAR) was used to investigate the long run and short run relationship between exports and economic growth as well as some selected variables. The result shows that there exists a stable long run relationship among economic growth, exports, capital expenditure on education and social services. Also, the Granger causality results reveal that export Granger causes economic growth and not the other way round. This means that an increase in economic growth may result from increase in export, but increase in economic growth does not necessarily lead to increase in exports. The Impulse Response Function (IRF) shows that a one standard innovation in exports will lead to permanent positive impact on economic growth in Nigeria. This therefore supports the exports led growth hypothesis for Nigeria.

A Study of Causality between Bank Credit and GDP Growth in India

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Dhiren Jotwani
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Analysis ◽  
Bank Credit ◽  
Gdp Growth ◽  
Growth Data ◽  
Key Factors ◽  
Indian Economy ◽  
Long Run ◽  
Short Run

The factors that cause Economic growth are varied and diverse. Theory has however managed to identify certain key factors, of which finance is one. In recent years, there have been studies using econometric time-series analysis to study the short-run and long-run relationships between finance and growth, for various countries. This paper is a study of the Indian economy, where we try to determine the causal relationship between bank credit and economic growth. Data from 1972 to 2012 for the Indian economy has been used for this study. The results suggest that provision of bank credit leads to economic growth. However, an increase in economic growth may not lead to further provision of bank credit in the economy. In other words, there is unidirectional causality from bank credit to growth.

scholarly journals China–Pakistan Economic Corridor, Logistics Developments and Economic Growth in Pakistan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Zunaira Khadim ◽  
Irem Batool ◽  
Muhammad Bilal Lodhi
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Real Income ◽  
Series Data ◽  
Data Set ◽  
Long Run ◽  
Short Run ◽  
Factor Inputs ◽  
The Impact

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

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