scholarly journals An empirical analysis of the energy consumption – real GDP nexus for Zimbabwe

2013 ◽  
Vol 10 (3) ◽  
pp. 426-433
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Time Series Data ◽  
Scale Up ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Causality Relationship ◽  
Capital Development ◽  
Growth Hypothesis

This study looked into causality relationship between energy consumption and economic growth in Zimbabwe using time series data spanning from 1980 to 2011. Four views explaining the causality relationship between energy consumption and economic growth include the growth hypothesis, conservation hypothesis, feedback hypothesis and the neutrality hypothesis. Whilst the growth hypothesis argues that energy consumption promotes economic growth, conservation hypothesis says that it is in fact economic growth that drives energy consumption. The feedback hypothesis argues that both energy consumption and economic growth promote each other whilst according to the neutrality hypothesis, no causality relationship exist between the two variables either in the short or long run. Using the bi-variate causality test framework, this study failed to establish any direct causality relationship between energy consumption and economic growth. However, the results imply the existence of an indirect bi-directional causality relationship between the two variables. The study therefore recommends Zimbabwe authorities not only to scale up investment into energy generation capacity improvement infrastructure but also address indirect factors like employment, human capital development, financial market development, and government consumption, among others in order to boost sustainable economic growth.

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 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.

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.

Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO2 Emissions in Thailand: An Application of the Wavelet Coherence Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Gbenga Daniel Akinsola
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Energy Usage ◽  
Positive Correlation ◽  
Long Run ◽  
Growth Energy

The study aims to explore the causal linkage between CO2 emissions, economic growth and energy consumption in Thailand utilizing the wavelet coherence approach, conventional Granger and the Toda-Yamamoto causality techniques. In this study, In this study, time-series data spanning the period between 1971 and 2018 were used. No prior study has used the wavelet coherence approach to collect information on the association and causal interrelationship among these economic variables at different frequencies and timeframes in Thailand. The study objectives are structured to answer the following question: Does economic growth and energy consumption lead to CO2 emissions in Thailand?. The findings revealed that: (a) Changes in economic growth led to changes in CO2 emissions in Thailand at different frequencies (different scales) between 1971 and 2018. (b) A bidirectional causal relationship between CO2 emissions and energy consumption. (c) A positive correlation between CO2 emissions and energy usage in the short and long-run between 1971 and 2018. (d) A positive correlation between GDP growth and CO2 emissions in the short and long-run between 1971 and 2018. The study suggested that Thailand should initiate stronger policies towards enhancing the efficiency of energy and energy-usage programs to minimize unnecessary energy waste.

scholarly journals Stock Market and Economic Development: a Causality Test

2007 ◽  
Vol 3 (1) ◽  
pp. 36-44 ◽  
Author(s):  
Surya Bahadur G.C. ◽  
Suman Neupane
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Stock Market ◽  
Time Series Data ◽  
Series Data ◽  
Causality Test ◽  
Stock Market Development ◽  
Business Studies ◽  
Long Run ◽  
Made In

ABSTRACT An attempt has been made in this paper to examine the existence of causality relationship between stock market and economic growth based on the time series data for the year 1988 to 2005 using Granger causality test. The study finds the empirical evidence of long-run integration and causality of macroeconomic variables and stock market indicators even in a small capital market of Nepal. The causality has been observed only in real terms but not in nominal variables. In econometric sense, it depicts that the stock market plays significant role in determining economic growth and vice versa. Interestingly, the causation is evident with a lag of 3 to 4 years. Also, the paper reveals the importance of stock market development for fostering economic development. Journal of Nepalese Business Studies 2006/III/1 pp. 36-44

scholarly journals Impact of Economic Reforms, FDI and Imports on GDP: Trends and Regression Analysis

2018 ◽  
Vol 7 (3) ◽  
pp. 20-25
Author(s):  
Preeti Sharma ◽  
Priyanka Sahni
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Time Series Data ◽  
Economic Reforms ◽  
Chinese Economy ◽  
Series Data ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Integration Test

The aim of this study is to explore the causal relationship between the exports, imports and economic growth of Chinese economy using time series data running from 1978 to 2016.Co integration, Granger Causality analysis and Vector Error Correction Mechanism (VECM) has been used in order to test the hypotheses about the presence of causality and co integration among the variables. The co integration test confirmed that exports, imports and GDP are co integrated, indicating an existence of long run equilibrium relationship among the variables and also confirmed by the Johansen co integration test results. The Granger causality test finally confirmed the presence of bi-directional causality between exports, imports and GDP. The study further shows that relative share of china’s exports in world exports has increased significantly after the introduction of economic reforms. Further, the rising exports have also made a significant contribution to the economic growth of Chinese economy due to forward and backward linkages.

Empirical Analysis of the Relationship Between Energy Consumption, CO2 Emissions and Economic Growth in Tunisia

2017 ◽  
Vol 8 (2) ◽  
pp. 79-90 ◽  
Author(s):  
Sana Essaber Jouini ◽  
Etidel Labidi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Output Growth ◽  
Pollutant Emissions ◽  
Series Data ◽  
Causality Analysis ◽  
Significance Level ◽  
Long Run

This paper examines the long run and causal relationship issues between economic growth, energy consumption and carbon emissions by using vector error correction model for the case of Tunisia within 1970-2010. Empirical results using time series data suggest an evidence of a long-run relationship between the variables at 5% significance level in Tunisia. A Granger causality analysis is conducted amongst the variables. The overall results indicate bidirectional causality between energy consumption and CO2 emissions and a unidirectional causality running from pollutant emissions to economic growth. But there is no direct relation between energy consumption and economic growth. Thus, our results reveal that in short term energy conservation policies, such as rationing energy consumption have no effect on the real output growth of Tunisia.

scholarly journals The Dynamic Relationship among Economic Growth, Energy Consumption and Environment in Iran

2015 ◽  
Vol 50 ◽  
pp. 118-128
Author(s):  
Hamid Amadeh ◽  
Parisa Kafi
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Series Data ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
Growth Energy

In recent decades, environmental risks and hazards are more visible. These damages caused by a combination of factors such as population growth, economic growth, energy, and industrial activities. This study discusses long-run equilibrium relationship, short-term dynamic relationships and causal relationships between energy consumption, economic growth and the environment (carbon dioxide emissions) in Iran, by using time series data during 1971-2009, through Co integration test. Co integration test demonstrates that a long-run relationship exists among the three variables. It is obvious that carbon dioxide emissions will be increased by positive shock of energy consumption and economic growth, by a one percent increase in energy consumption and economic growth, carbon dioxide emissions will increase 55 and 43 percent respectively. The result of this study is important because of reducing carbon dioxide emissions from energy use and economic development matters. In other words, to reduce carbon dioxide emissions, the government should reduce the amount of Petroleum products in energy consumption, and it also improves the efficiency of using energy.

scholarly journals Causal Relationship Between Economic Growth and Energy Consumption in Jordan

2022 ◽  
Vol 1 (1) ◽  
pp. 102-112
Author(s):  
Ali Matar
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Agricultural Land ◽  
Time Series Data ◽  
Recent Decade ◽  
Series Data ◽  
Causality Test ◽  
Crisis Events ◽  
Per Capita

Due to the current situation of the Jordanian economy, this paper aims to evaluate the impacts of economic growth on energy consumption in a developing country like Jordan, a country with limited resources such as oil, agricultural land, and water. This study is very important since the energy bill reflects a notable share in the GDP for Jordan, especially in the recent decade that witnessed energy bills rising due to different political and financial crisis events. The study investigates the causal relationship between the per capita energy consumption and economic growth (proxied by real gross domestic product per capita in constant prices) over the 1975-2011 period. A Granger causality test is utilized on annual time series data. The results of the study confirm a neutral relationship between real GDP and energy consumption, indicating that per capita increase in economic growth may not cause any perpetual rise in energy consumption in Jordan.

HEALTH CARE EXPENDITURE AND ECONOMIC GROWTH IN NIGERIA: AN EMPIRICAL APPRAISAL OF THE NEXUS

2020 ◽  
Vol 12 (2) ◽  
pp. 69-86
Author(s):  
Alemu Kingsley Imandojemu ◽  
Desmond Uareime Imonikhe ◽  
Nathaniel Toyosi Akinlosotu ◽  
Aina Jamiu Babatunde
Keyword(s):  
Economic Growth ◽  
Health Care ◽  
Health Expenditure ◽  
Time Series Data ◽  
Labour Force ◽  
Health Care Expenditure ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
National Growth

A nation’s wealth is often described in terms of their physical stock of capital per time for the promotion of economic growth. One of such physical stock of capital is a healthy labour force. Therefore, this study investigated the relationship between health expenditure and economic growth in Nigeria from 1985 to 2019. To determine this, annual time series data was collected from various issues of the Central Bank of Nigeria (CBN) statistical bulletin and the World Development Indicator (WDI). Stationarity, long run relationship, equation estimation and causality were determined using the Augmented Dickey Fuller (ADF), Johansen-Cointegration, Parsimonious Error Correction Mechanism (ECM) and Pairwise Granger Causality test respectively. The result showed that a long run relationship exist among the variables while the ECM showed that in event of a disequilibrium, the system would restore itself to equilibrium at an adjustment speed of approximately 85.5percent. The result uncovered that current and past percentage of health expenditure in total expenditure (PHETE), government final consumption expenditure (GFCE), and labour force participation (LABF) all had direct impact on national growth (real GDP per capita) while current and past number of infant deaths (NUFD) had inverse relationship with national growth. Result further showed that there exists a unidirectional causality running from NUFD to RGDPPC; from GFCE to RGDPPC; from LABF to RGDPPC, from NUFD to PHETE, from LABF to PHETE, from NUFD to GFCE and from NUFD to LABF. It was recommended that the federal government through the Ministry of Health should endeavour to encourage private-public partnership in the building of quality health infrastructure such as hospitals with state of art facilities in localities where standard health care centres are not accessible to working citizens.

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