Does Financial Development Promote Industrial Production in Pakistan? Evidence from Combined Cointegration and Causality Approach

2019 ◽  
Vol 20 (2) ◽  
pp. 297-312 ◽  
Author(s):  
Muhammad Ahad ◽  
Adeel Ahmad Dar ◽  
Muhammad Imran
Keyword(s):  
Financial Development ◽  
Industrial Production ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Industrial Growth ◽  
Decomposition Approach ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study investigates the impact of financial development on industrial production from 1972 to 2014 in Pakistan. We use the Bayer and Hanck (2013, Journal of Time Series Analysis 34(1), 83–95,) combined cointegration technique to predict the long-run relationship between financial development, saving and industrial production. The results predict three cointegration vectors which confirm the existence of a long-run relationship between underlying variables. The empirical evidence shows a positive impact of financial development and savings on industrial growth in the long run as well as in the short run. The result of the VECM (Vector Error Correction Model) Granger causality confirms the bidirectional causality between financial development and industrial production in the long run. The variance decomposition approach shows that financial development has major contributions in explaining industrial production. The impulse response function also confirms the results of variance decomposition. This research opens new insights for policymaking.

scholarly journals Trade openness and industrial growth: Evidence from Nigeria

2017 ◽  
Vol 64 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Fahad Adamu ◽  
Ergun Dogan
Keyword(s):  
Industrial Production ◽  
Positive Impact ◽  
Trade Openness ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Industrial Growth ◽  
Correction Model ◽  
Quarterly Data ◽  
Long Run ◽  
Short Run

This study examines the long-run and short-run relationship between industrial production and trade openness in Nigeria during the period from 1986 to 2008 by using quarterly data. It employs the ARDL bounds testing methodology developed by M. Hashem Pesaran, Yongcheol Shin, and Richard J. Smith (2001). The results of both the long-run analysis and the short-run error correction model (ECM) indicate that trade openness has a significant and positive impact on industrial production. The Toda-Yamamoto causality analysis shows that there is one-way Granger causality, running from trade openness to industrial production.

scholarly journals Financial Development, Financial Openness and Economic Growth in Nigeria

2021 ◽  
Vol 11 (3) ◽  
Author(s):  
Christian E. Bassey ◽  
Okoiarikpo Benjamin Okoi ◽  
Ikpe Kingsley Imoh
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Financial Distress ◽  
Positive Impact ◽  
Financial Openness ◽  
Insurance Sector ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study examined the impact of financial development and financial openness on economic growth in Nigeria between 1981 and 2019. This was done through the use of the Auto-Regressive Distributed Lag (ARDL) model. In doing this, the ratio of credit to the private sector to the GDP and broad money to narrow money were used as measures of financial development and financial openness respectively. The study found that financial development has a positive and insignificant impact on economic growth in Nigeria in the long and short-run. The study also found that financial openness has a negative and insignificant impact on economic growth in Nigeria in the long-run. The results of the study further revealed that simultaneous existence of financial development and financial openness has an insignificant but positive impact on economic growth in Nigeria in the long-run. Based on the findings, the study recommended that the CBN should increase its efforts towards the regulation and supervision of the financial sector to reduce the incidence of financial distress. The study also recommended that efforts to develop the mortgage and insurance sector and the capital market should be intensified through regulatory improvements, improvements in the instruments in use in the market as well as public enlightenment programs to increase awareness of the potentials of the mortgage, insurance and capital markets. The final recommendation made by the study is that more restrictions should be placed on the inflow of capital in and out of the country to guard against sudden capital flow reversals.

scholarly journals South Africa’s Financial Development and its Role in Investment

2018 ◽  
Vol 7 (1) ◽  
pp. 101-120 ◽  
Author(s):  
Brian Muyambiri ◽  
N.M. Odhiambo
Keyword(s):  
South Africa ◽  
Financial Development ◽  
Positive Impact ◽  
Investment Model ◽  
Model Composite ◽  
Enhancing Effect ◽  
Development Indicators ◽  
Long Run ◽  
Short Run ◽  
The Impact

AbstractThis study investigates the impact of financial development on investment in South Africa between 1976 and 2014. The model estimated is based on the flexible accelerator investment model. Composite indices for bank-based and market-based financial development indicators are used as explanatory variables. The estimated model postulates that both bank-based financial development and market-based financial development have an acceleratorenhancing effect on investment. Results show that market-based financial development has a positive impact on investment in the long run, while bank-based financial development has a negative effect in the short run. Implications are that, for South Africa, market-based financial development has a positive accelerator-enhancing effect on investment in the long run. In contrast, bank-based financial development is found to have a negative accelerator enhancing effect on investment in the short run.

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 HIGHER EDUCATION AND ECONOMIC GROWTH A CASE STUDY OF PAKISTAN

2010 ◽  
Vol 27 (1) ◽  
Author(s):  
Tariq Mahmood
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Positive Impact ◽  
Public Expenditures ◽  
Annual Data ◽  
Unequal Distribution ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Education And Economic Growth

This paper highlights the role of higher education for the economic growth inPakistan. We explore the impact of increase in enrolment at tertiary level on thegrowth rate of income per worker. Estimating a growth model developed byMankiv et. al. (1992), using the annual data of Pakistan, we find a robustrelationship between higher education and economic growth in the long run. Themodel has also shown that investment in fixed capital has positive impact oneconomic uplift. Applying Johansen’s cointegration test, we show that the longrun elasticity of income with respect to capital stock is different from its share inGDP, and increase in the enrolment per unit of effective worker helps inbolstering economic growth. But, like earlier literature we also find statisticallyinsignificant relationship between higher education and GDP per worker. Thereare some fundamental reasons concerning to the ambiguous impact of investingin human capital on economic growth, particularly in the short run in case ofPakistan. First, the sharp increase in enrollment, recently, has been damaging thequality of education. Second, the unequal distribution of educational services hasheld back the efficiency of public expenditures, particularly before the reformsundertaken by higher education commission. Third, the low private return ofeducation has limited the demand for higher education in Pakistan for almost fiftyyears.

scholarly journals Determinants of Islamic Rural Bank Financing in Indonesia

JEJAK ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 273-288
Author(s):  
Arif Widodo ◽  
Istianah Asas
Keyword(s):  
Exchange Rate ◽  
Global Financial Crisis ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Third Party ◽  
Correction Model ◽  
Macroeconomic Variables ◽  
Bank Financing ◽  
Long Run ◽  
Short Run

This research is designed to empirically investigate the determinants of Islamic rural banking financing in Indonesia after 2008 global financial crisis covering period 2009.1-2014.12. The methods applied in this research are Error Correction Model (ECM) and VAR/VECM. The results of ECM model demonstrate that the variable third party funds (DPK) and non-performing financing can significantly affect Islamic rural banking financing both in the short run and long run, while Return on Asset (ROA) and Profit-and-loss sharing does not have a significant influence. Islamic rural bank financing, however, was influenced by inflation and exchange rate as the proxy of macroeconomic variables in the short and long run. Furthermore, Impulse Response Function (IRF) and variance decomposition results show that Profit-and-loss sharing (PLS) has the largest positive impact to financing (39.08%), followed by third party fund (19.6%) and inflation (8.9%). While, the variables that contribute to reduce financing are non-performing financing (9.02%), followed by ROA (7.76%) and exchange rate (2.48%).

The Linkage between Chittagong Stock Market and Dhaka Stock Market

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Shahidullah Tasfiq ◽  
◽  
Nasrin Jahan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Price ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Variance Decomposition Analysis

This paper aims at determining the relationship between the two domestic stock markets of Bangladesh – the Chittagong Stock Market (CSE) and the Dhaka Stock Market (DSE). The daily stock price indices that represent the performance of the two stock markets are collected. In order to find out the interdependent relationship, the Engle-Granger Cointegration test, Granger Causality test, Impulse Response Function, and Variance Decomposition Analysis are employed in this paper. The main finding of this study is that both the stock markets are related in the long run. However, there is a one-way short-run effect from the DSE on the CSE market. The CSE market quickly responds to the shock in the DSE market. But, the DSE market is not responsive to the CSE market. The variance decomposition analysis shows that most of the shocks in the CSE market are explained by its own market. On the other hand, a small number of shocks in the DSE market are explained by the CSE market as well as its own market.

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.

scholarly journals Transmission Mechanism of Exchange Rate Pass-Through to Domestic Price: The Case of Afghanistan

2020 ◽  
Vol 16 (4) ◽  
pp. 1
Author(s):  
Ajmal Arian ◽  
Arabi U.
Keyword(s):  
Exchange Rate ◽  
Impulse Response Function ◽  
Import Price ◽  
Variance Decomposition ◽  
Long Run ◽  
Effective Exchange ◽  
Short Run ◽  
Pass Through ◽  
Exchange Rate Pass Through ◽  
Effective Exchange Rate

This article investigates the mechanism of exchange rate pass-through to the prices in the context of the Islamic Republic of Afghanistan’s economy. This study explored the magnitude and speed of the pass-through effect on the prices by analyzing quarterly data from 2003 Q1 to 2019 Q2 considering five variables (viz., world food price index, foreign reserves, money supply, import price, and nominal effective exchange rate) based on the Vector Autoregression Model (VAR) with the cointegration and innovation accounting tools such has impulse response function and variance decomposition. The findings of the study suggest that the exchange rate pass-through in Afghanistan is incomplete. The import price is highly responsive in the short-run and moderately responsive an increasingly smooth movement in the long-run. However, CPI in the short-run with swift positive respond but the long-run smooth increasing movement. Furthermore, variance decomposition evidence shows that import price is affected by FR, NEER, CPI, and MS in both short-run and long-run, but the CPI strongly lagged by its variance, WFP, NEER, import price, and MS.

scholarly journals AN ANALYSIS OF STOCK MARKET INTEGRATION IN THE ASIAN DEVELOPED AND EMERGING MARKETS

2021 ◽  
Vol 9 (3) ◽  
pp. 1175-1190
Author(s):  
Sadiq Rehman ◽  
Asif Ali Abro ◽  
Ahmed Raza Ul Mustafa ◽  
Najeeb Ullah ◽  
Sanam Wagma Khattak
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Stock Markets ◽  
Impulse Response Function ◽  
Variance Decomposition ◽  
Short Term ◽  
Emerging Stock Markets ◽  
Long Run ◽  
Integration Test ◽  
Short Run

Purpose of the study: This study investigates Short-run, Long-run, and Casual relationships in the Asian Developed and Emerging stock market indices for the period of 19 years weekly data of stock market indices of Asian Developed and Emerging Markets which are Japan (Nikkei 225), South Korea (KOSPI), Pakistan (KSE 100), China (SSE Composite), Sri Lanka (ASPI), India (BSE 200) and Malaysia (KLSE composite) from January 2001 to December 2019. Methodology: To analyze long-run and short-run relationships among the Asian developed and emerging stock markets, this study practices Descriptive Statistics, Correlation Matrix, Unit Root Test, Johansen Co-Integration Test, Vector Error Correction Model, Granger Causality test, Variance Decomposition and Impulse Response Function (IRF). Main findings: By employing the ADF and P.P. tests, the results specify that the entire variables' data are non-stationary and stationary in exact order, which is 1st difference. The Johnson Co-integration test found one cointegration relationship, where the results are consistent with Granger causality, Variance Decomposition, and Impulse Response Function (IRF). Application of the study: As the current research has focused on finding out the comovements in the Asian developed and emerging markets. So, the applications are that the survey found short-run and long-run relationships in these countries' stock markets. The study's originality: The current study has selected seven Asian developed and emerging stock markets and weekly updated time series data to investigate short-term and long-term linkages. So, this study found long-run comovements in these stock indices, which contributes to the literature. In addition, these stock markets have limited diversification benefits for international investors, while short-term diversification benefits may exist.

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