scholarly journals EXAMINING THE FINANCE- GROWTH NEXUS IN CAMEROON USING COINTEGRATION APPROACH

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Achamoh Ngimanang
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Relevant Literature ◽  
Empirical Relationship ◽  
Series Data ◽  
Unique Contribution ◽  
Real Gdp ◽  
Long Run ◽  
Short Run

Purpose: This study explores the empirical relationship between growth rate of real GDP and financial development using Cameroons time series data spanning from 1978 to 2017.  Methodology: After shedding light to the evolution of financial development in Cameroon and exploring some relevant literature, the study assesses the finance-growth linkages in Cameroon by specifying and estimating the long run and short run functions for financial development using cointegration and Error Correction modeling (ECM) techniques in addition to Engle and Granger causality testing.   Findings: Growth of real GDP used in this paper to capture economic growth was reported to have a positive and highly significant relationship with the variable for financial development and the relation was more significant in the short run than in the long run after controlling for other variables. Bidirectional causality was also noticed between the two set of variables. Unique contribution to theory, practice and policy: Results of this paper suggests that financial sector of Cameroon can efficiently allocate credit to the private sector as an indicator of financial development by stimulating economic activities with the aim of raising gross domestic product of the country in both short and long run. Keywords: Economic growth, financial development, cointegration, Cameroon

scholarly journals Does Financial Liberalization and Investment Rate Affect Financial Development in Cameroon?

2016 ◽  
Vol 8 (2) ◽  
pp. 136
Author(s):  
Victalice Achamoh Ngimanang ◽  
Ibrahim Ngouhouo
Keyword(s):  
Private Sector ◽  
Financial Development ◽  
Financial Liberalization ◽  
Time Series Data ◽  
Relevant Literature ◽  
Financial Sector ◽  
Series Data ◽  
Investment Rate ◽  
Long Run ◽  
Short Run

This study investigates the key determining factors of financial development using Cameroons time series data from 1977 to 2010. After over-viewing the financial market and financial development in Cameroon and exploring some relevant literature, the study specifies and estimates long- and short-run functions for financial development using co-integration and error correction techniques. Financial liberalization, Gross investment rate, GDP growth rate, inflation rate and government spending appear to significantly influence the level of credit to the private sector in Cameroon. Gross investment rate significantly promotes financial development in the long- and short run whereas financial liberalization significantly contributes to private credit only in the short run. These results suggest that the efficiency of the financial sector in allocating credit to the private sector could be enhanced by encouraging gross investment in the short and long run and equally by liberalising the financial sector in the short run.

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 The Impact of Saving and Financial Development on Economic Growth in Turkey

2019 ◽  
Vol 11 (2) ◽  
pp. 1
Author(s):  
Hatem Hatef Abdulkadhim Altaee ◽  
Mohamed Khaled Al-Jafari
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Series Data ◽  
Domestic Saving ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

Since saving and financial development are vital to economic growth, this research empirically investigates the impact of saving and financial development on economic growth in Turkey. Therefore, a time series data from 1968 until 2017 were tested utilizing both the error correction model (ECM) and the autoregressive distributed lag approach (ARDL). The findings reveal an existence of a short-run and a long-run positive and significant effect of savings and financial development on economic growth. Conventional inputs such as capital and labor proved to be the most important factors in achieving economic growth in Turkey. The study concludes that an appropriate policy mix will enhance domestic saving in the country.

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.

Does Public Debt Service Expenditure Crowd-Out Economic Growth? Empirical Evidence from an African Developing Country

2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Time Series Data ◽  
Policy Formulation ◽  
Debt Service ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Impact

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.

Has the low level of economic growth spurred informal sector activities in Uganda? An empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephen Esaku
Keyword(s):  
Economic Growth ◽  
Informal Sector ◽  
Shadow Economy ◽  
Time Series Data ◽  
Series Data ◽  
Content Type ◽  
Low Level ◽  
Revenue Collection ◽  
Long Run ◽  
Short Run

PurposeIn this paper, the authors examine how economic growth shapes the shadow economy in the long and short run.Design/methodology/approachUsing annual time series data from Uganda, drawn from various data sources, covering the period from 1991 to 2017, the authors apply the ARDL modeling approach to cointegration.FindingsThis paper finds that an increase in economic growth significantly reduces the size of the shadow economy, in both the long and short run, all else equal. However, the long-run relationship between the shadow economy and growth is non-linear. The results suggest that the rise of the shadow economy could partially be attributed to the slow and sluggish rate of economic growth.Practical implicationsThese findings imply that addressing informality requires addressing underlying factors of underdevelopment since improvements in economic growth also translate into a reduction in the size of the shadow economy in the short and long run.Originality/valueThese findings reveal that the low level of economic growth is an issue because it spurs informal sector activities in the short run. However, as the economy improves, it becomes an incentive for individuals to operate in the informal sector. Additionally, tackling shadow activities in the short run could help improve tax revenue collection.

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.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

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