scholarly journals ISLAMIC FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN NIGERIA: A BOUNDS TESTING APPROACH

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Tasiu Tijjani Sabiu ◽  
Muhammad Abduh
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Correction Method ◽  
Series Data ◽  
Bounds Testing ◽  
Bank Financing ◽  
Long Run ◽  
Bounds Testing Approach ◽  
Testing Approach

Using a bounds testing approach to the cointegration and error correction method developed within the autoregressive distributed lag (ARDL) framework, this paper analyses the short- and long-run dynamic relationships between Islamic financial development and economic growth in Nigeria. Quarterly time-series data (2012:1 to 2019:3) are employed for the variables, together with non-interest bank financing to the private sector and real gross domestic product as indicators of Islamic financial development and economic growth respectively. The results indicate a significant short- and long-run relationship between Islamic financial development and economic growth. The relationship, however, is neither Schumpeter’s supply-leading nor Robinson’s demand-following type; rather, it appears to be bi-directional. In addition, empirical evidence is found that underscores the important role of Islamic bank financing in the economic performance of Nigeria. The paper recommends that improvement of the Islamic financial system in Nigeria may foster economic development and enhance welfare and poverty alleviation in the long run.

scholarly journals Money Supply, Inflation and Economic Growth in China: An ARDL Bounds Testing Approach

2020 ◽  
pp. 73-80
Author(s):  
Cheng-Wen Lee ◽  
Hao-Yuan Yu
Keyword(s):  
Economic Growth ◽  
Money Supply ◽  
Time Series Data ◽  
National Income ◽  
Series Data ◽  
Bounds Testing ◽  
Long Run ◽  
Monetary Neutrality ◽  
Bounds Testing Approach ◽  
Testing Approach

The empirical analysis applies the autoregressive distributed lag bounds testing approach to investigate the relationship between money supply, inflation and economic growth in China with the time series data from 1980 to 2018, estimate the cointegration of monetary and economic growth in long-run relationship and uses vector error correction model to determine the short-run adjustment between the variables. The research showed that the increase in national income met people's demand for goods and eased inflationary pressures. The results support the view of monetarism and help the government formulate economic policies in a prudent manner to control inflation in China. JEL classification numbers: A10, E52, P44 Keywords: ARDL bounds test, Long-Run, Monetary Neutrality.

Do fisheries and aquaculture production have dominant roles within the economic growth of Pakistan? A long-run and short-run investigation

2019 ◽  
Vol 121 (8) ◽  
pp. 1926-1935
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan ◽  
Sehresh Hena ◽  
Abbas Ali Chandio
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Government Expenditure ◽  
Series Data ◽  
Bounds Testing ◽  
Content Type ◽  
Ardl Bounds Testing ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Ardl Bounds Testing Approach

Purpose The purpose of this paper is to investigate and explore the connection between aquaculture and capture fisheries production and economic growth in Pakistan. Fisheries play an important role in Pakistan’s national economy, and Pakistan has sufficient fishery resources to be developed. Most of the population in the coastal areas depends on fisheries for their livelihood. Design/methodology/approach This research was based on time series data of aquaculture and capture fisheries production and the analysis of their relationship with economic growth in Pakistan. The study used an autoregressive distributed lag (ARDL) bounds testing approach to check the dynamic causality between the study variables. Findings The results showed that aquaculture and capture fisheries production have had a positive effect on the economic growth in Pakistan. Practical implications Better infrastructure for the fishing industry, increased government expenditure on facilities and financial support for the fish farmers could contribute to economic growth in the future. Recommendations for improvements in these areas have been made. Originality/value By using an ARDL bounds testing approach, this study contributes to the literature regarding fisheries production and economic growth in Pakistan.

Financial Innovation and Economic Growth

2006 ◽  
pp. 52-70
Author(s):  
Anita Ghatak
Keyword(s):  
Economic Growth ◽  
20Th Century ◽  
Financial Development ◽  
Time Series Data ◽  
Financial Innovation ◽  
Series Data ◽  
Money Stock ◽  
Long Run ◽  
Money Holding ◽  
The Uk

In this chapter, we assess the contribution of financial development to saving and economic growth in the UK in the 20th century. Financial development in this century has been by leaps and bounds along with a number of infamous crashes like the ones in the 1920s and in 1987. Using annual time-series data for the whole century, we find that financial growth has helped saving and economic growth in the UK throughout the 20th century. The unprecedented increase in money holding in 1965 and various forms of financial innovation and liberalisation initiated in the 1980s raised both the level and the rate of economic growth. Money-stock elasticity of GDP has been positive and statistically significant. There are long-run and unique co-integrated relations of GDP with productivity of capital and financial depth in the 20th century. The financial crash of Black Monday in 1987 upset equilibrium relations and led to a negative money-stock elasticity of economic growth.

scholarly journals Climate Change Impact On Rice Production in Pakistan: An ARDL-Bounds Testing Approach to Cointegration

2018 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Habibullah Magsi
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Rice Production ◽  
Series Data ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
The Impact ◽  
Ardl Bounds Testing Approach

This research paper aims to examine the relationship between CO2, temperature, area, fertilizers and rice production in Pakistan. This study used Augmented Dickey Fuller (ADF) and Phillips Perron (PP) unit root tests to check the order of integration of each variable. The cointegration analysis with ARDL bounds testing approach is used to examine the impact of climate change on rice production in Pakistan over time series data from the period 1968 to 2014. The parameter stability test of the model is also checked at the end. The results of estimation show that the important variables of the study are cointegrated demonstrating the presence of long-run association among them. Furthermore, climate change factors, e.g. CO2 and temperature have a long-run and short-run positive effect on the production of rice in Pakistan. This present work is original and it is first time empirically tested the impact of climate change on rice production in Pakistan. The annual time series data of 47 years enhances the validity of the empirical findings. The most fruitful finding of this research is that rice production in Pakistan is positively influenced by emission of carbon dioxide (CO2) at 5 percent significance level in both long-run and short-run.

scholarly journals An ARDL Approach to Check the Linkage Between Economic Growth, Electricity Access, Energy Use and Population Growth in Pakistan: Long-run and Short-run Analysis

2018 ◽  
Author(s):  
Abdul Rehman ◽  
Zhang Deyuan
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Urban Population ◽  
Energy Use ◽  
Bounds Testing ◽  
Long Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
Electricity Access ◽  
Ardl Bounds Testing Approach

The major aim of this study was to investigate and explores the linkage between economic growth, electricity access, energy use and population growth in Pakistan. To check the variables stationarity, Augmented Dickey-Fuller (ADF) and Phillips-Perron unit root test was applied and an Autoregressive Distributed Lag (ARDL) bounds testing approach to co-integration was applied to investigate the dynamic causality link among the study variables. These tests shed light on the long-run connection among the variables; further, the results revealed that electricity access to population, electricity access to urban population, energy usage, population growth, and urban population growth had a significant impact on economic growth, while the electricity access to rural population and rural population growth has a negative impact on the economic growth in Pakistan. According to these findings, study commends that government of Pakistan pay further attention to increase its electricity production from different sources including, hydroelectric, solar, oil and gas and nuclear in order to fulfill the country’s demands. By using ARDL bounds testing approach, this study filled the literature gap regarding economic growth, electricity access, energy use and population growth in Pakistan.

scholarly journals Tourism And Economic Growth In Kenya: An Empirical Investigation

2012 ◽  
Vol 11 (5) ◽  
pp. 517 ◽  
Author(s):  
Obadiah N. Kibara ◽  
Nicholas M. Odhiambo ◽  
Josephine M. Njuguna
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Tourism Development ◽  
Series Data ◽  
Bounds Testing ◽  
Critical Question ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series

In this study, we examine the dynamic relationship between tourism sector development and economic growth using annual time-series data from Kenya. The study attempts to answer one critical question - Is tourism development in Kenya pro-growth? The study uses an ARDL-bounds testing approach to examine these linkages and also incorporates trade as an intermittent variable between tourism development and economic growth in a multivariate setting. The results of our study show that there is a uni-directional causality from tourism development to economic growth. The results are found to hold irrespective of whether the causality is estimated in the short run and long run. Other results show that international tourism Granger-causes trade, while trade Granger-causes economic growth in Kenya in both the short and the long run.

scholarly journals Education Expenditure and Economic Growth in Mauritius: An Application of the Bounds Testing Approach

2017 ◽  
Vol 13 (22) ◽  
pp. 70 ◽  
Author(s):  
Tafirenyika Sunde
Keyword(s):  
Economic Growth ◽  
The Other ◽  
Bounds Testing ◽  
Education Expenditure ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
Testing Approach ◽  
The Relationship ◽  
Investments In Education

This study examines the relationship between education expenditure and economic growth in Mauritius. The study employed the ARDL bounds testing methodology for the period 1976 to 2016. The study found that education expenditure Granger causes economic growth in Mauritius in the short run. In addition, the study also found that economic growth does not Granger cause education expenditure in Mauritius in the short run. However, in the long-run, the study found that there are long run relationships between education expenditure and economic growth in both equations; and this means that an increase in either of the variables will eventually lead to an increase in the other variable. The study, therefore, found support for the hypothesis that investment in education raises economic growth. This means that Mauritius has the potential to benefit from further investments in education in the future.

scholarly journals Exploring the Linkage Between Financial Development and Economic Growth: the ARDL Bounds Testing approach

2021 ◽  
Author(s):  
Mohammad Abul Kashem ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Negative Impact ◽  
Positive Impact ◽  
Bounds Testing ◽  
Development Indicators ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
Ardl Bounds Testing Approach

Abstract This study investigates the cointegration, short and long run dynamics and causal links between financial development and economic growth in Bangladesh for the period 1973 to 2015. We applied the Autoregressive Distributed Lag (ARDL) Bounds Testing approach and the Granger causality test. The ARDL bounds tests and other cross-checking test confirmed the long run cointegration between economic growth and financial development indicators in Bangladesh. The two financial development indicators, growth in broad money to gross domestic product (GDP) ratio and growth in total deposit liabilities to GDP ratio appeared to have time variant impact on economic growth: the former having significant positive impact in the short- run but negative impact in the long- run, while the latter has significant negative impact in the short- run but positive impact in the long- run. The Granger causality analysis indicated a bidirectional, co-evolutionary process between financial development and economic growth.

scholarly journals Economic Growth and Environmental Pollution in Brunei: ARDL Bounds Testing Approach to Cointegration

2019 ◽  
pp. 1-11
Author(s):  
Issa Moh’d Hemed ◽  
Suleiman Malik Faki ◽  
Salim Hamad Suleiman
Keyword(s):  
Economic Growth ◽  
Environmental Pollution ◽  
Time Series Data ◽  
Series Data ◽  
Kuznets Curve ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Bound Test

Aims: This study examined the short run and long run dynamic relationship between economic growth and environmental pollution in Brunei. We adoptedAuto Regressive Distributed Lag (ARDL) model to scrutinize the existence of the Environmental Kuznets Curve (EKC) among the studying variables by using time series data cover the period of 1974 to 2014. Methodology: The ARDL bound test revealed the existence of long-run relationship among the integrated variables when CO2 chosen as a dependent variable. Results: The results support the existences of EKC hypotheses in the long-run whereas in the short-run an inverted U-shaped curve was not confirmed between GDP and CO2 in Brunei. The results of Granger causality based on VECM analysis have shown unidirectional causality runs from economic growth to CO2 in the short run. Further analysis through stability test indicates the coefficients in the model are stable and do not suffers with structural break within the time taken in the study. Conclusion: The government of Brunei should proceed to target the sustainable means of production, which has an environmental friendly and consumes less energy to enhance economic growth and maintain environmental quality in the long run.

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