Relating energy consumption to real sector value added and growth in a developing economy

2019 ◽  
Vol 13 (1) ◽  
pp. 166-182 ◽  
Author(s):  
Ebere Ume Kalu ◽  
Pius Bala Daniel ◽  
Uchenna Florence Nwafor ◽  
Chinwe R. Okoyeuzu ◽  
Okoro E.U. Okoro ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Time Series Data ◽  
Value Added ◽  
Industrial Sector ◽  
Series Data ◽  
Content Type ◽  
Development Indicators ◽  
Distributed Lag ◽  
Bound Test

Purpose The main aim of this study was to examine whether any relationship exists between energy consumption and value added of the agricultural and industrial sector as well as the overall growth rate of the Nigerian economy. Design/methodology/approach The study used annualized time series data from 1971 to 2014 drawn from the World Bank Development Indicators, adopting an autoregressive distributed lag technique in the data analyses as well as the bound test and error correction representation. Findings There is a very strong evidence of the existence of a long-run relationship between energy consumption and indicators of economic growth. There are very strong proofs that economic growth and agricultural value added adjust to the shocks and dynamics of the studied energy-consumption-related variables while manufacturing value added proved otherwise. Originality value No study to the best of our knowledge has brought together aggregate growth, agricultural value added and manufacturing value added in the investigation of the energy consumption and economic growth nexus in one study using the Nigerian stylized economic environment. This represents the value added of this study and shows its originality.

Economic growth, Industrialization, Trade, Electricity production and Carbon dioxide emissions: Evidence from Ghana

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Kingsley Appiah ◽  
Rhoda Appah ◽  
Oware Kofi Mintah ◽  
Benjamin Yeboah
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Time Series Data ◽  
Electricity Production ◽  
Series Data ◽  
Data Set ◽  
Development Indicators ◽  
Explanatory Variables ◽  
Distributed Lag

Abstract: The study scrutinized correlation between electricity production, trade, economic growth, industrialization and carbon dioxide emissions in Ghana. Our study disaggregated trade into export and import to spell out distinctive and individual variable contribution to emissions in Ghana. In an attempt to investigate, the study used time-series data set of World Development Indicators from 1971 to 2014. By means of Autoregressive Distributed Lag (ARDL) cointegrating technique, study established that variables are co-integrated and have long-run equilibrium relationship. Results of long-term effect of explanatory variables on carbon dioxide emissions indicated that 1% each increase of economic growth and industrialization, will cause an increase of emissions by 16.9% and 79% individually whiles each increase of 1% of electricity production, trade exports, trade imports, will cause a decrease in carbon dioxide emissions by 80.3%, 27.7% and 4.1% correspondingly. In the pursuit of carbon emissions' mitigation and achievement of Sustainable Development Goal (SDG) 13, Ghana need to increase electricity production and trade exports.   

An econometric study of carbon dioxide (CO2) emissions, energy consumption, and economic growth of Pakistan

2012 ◽  
Vol 6 (4) ◽  
pp. 518-533 ◽  
Author(s):  
Matloub Hussain ◽  
Muhammad Irfan Javaid ◽  
Paul R. Drake
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Environmental Pollution ◽  
Granger Causality ◽  
Time Series Data ◽  
Series Data ◽  
Future Research ◽  
Content Type ◽  
Per Capita

PurposeThe purpose of this paper is to examine the relationship among environmental pollution, economic growth and energy consumption per capita in the case of Pakistan. The per capital carbon dioxide (CO2) emission is used as the environmental indicator, the commercial energy use per capita as the energy consumption indicator, and the per capita gross domestic product (GDP) as the economic indicator.Design/methodology/approachThe investigation is made on the basis of the environmental Kuznets curve (EKC), using time series data from 1971 to 2006, by applying different econometric tools like ADF Unit Root Johansen Co‐integration VECM and Granger causality tests.FindingsThe Granger causality test shows that there is a long term relationship between these three indicators, with bidirectional causality between per capita CO2 emission and per capita energy consumption. A monotonically increasing curve between GDP and CO2 emission has been found for the sample period, rejecting the EKC relationship, implying that as per capita GDP increases a linear increase will be observed in per capita CO2 emission.Research limitations/implicationsFuture research should replace the economic growth variable, i.e. GDP by industrial growth variable because industrial sector is major contributor of pollution by emitting CO2.Practical implicationsThe empirical findings will help the policy makers of Pakistan in understanding the severity of the CO2 emissions issue and in developing new standards and monitoring networks for reducing CO2 emissions.Originality/valueEnergy consumption is the major cause of environmental pollution in Pakistan but no substantial work has been done in this regard with reference to Pakistan.

scholarly journals The Impact Of Human Capital On Nigeria's Economic Growth

2021 ◽  
Vol 17 (15) ◽  
Author(s):  
Yusufu Nigel Bachama ◽  
Aisha Adamu Hassan ◽  
Bello Ibrahim
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Trade Openness ◽  
Health Sector ◽  
Series Data ◽  
Development Indicators ◽  
Distributed Lag ◽  
The Impact

Despite abundant evidence at microeconomic level, the role of human capital in promoting economic growth and development has not been well documented at the macroeconomic level – specifically in developing countries. This paper seeks to examine the role of human capital on economic growth in Nigeria using time series data covering the period from 1970-2019. The data are sourced from Central Bank of Nigeria (CBN) statistical bulletin and World Development Indicators of the World Bank. The data are analyzed using Autoregressive Distributed Lag model (ARDL). The study reveals that expenditure on health and education are found to be positively and significantly related with economic growth both in the short-run and long-run. However, labor negatively impact on economic growth and it was found to be significant. Again, trade openness and inflation are insignificant in explaining economic growth in this paper. Thus, the paper recommends that, Nigerian government should focus on improving the educational and health sector. Meaning that, huge amount of government budgetary allocation should be directed toward educational and health sector. So also, government should create more jobs opportunities (through skills acquisitions/ vocational training) to minimize the unemployment rate in the country.

Insurance market development and economic growth

2016 ◽  
Vol 43 (3) ◽  
pp. 321-339 ◽  
Author(s):  
Abdul Latif Alhassan
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Causal Relationship ◽  
Time Series Data ◽  
Insurance Market ◽  
Market Development ◽  
Series Data ◽  
African Countries ◽  
Content Type ◽  
Bound Test

Purpose – The purpose of this paper is to examine the causal relationship between insurance penetration and economic growth in eight selected African countries. Design/methodology/approach – The auto-regressive distributed lags bounds approach to cointegration is employed on annual time-series data from 1990 to 2010 to test the causal relationship between insurance and economic growth in Algeria, Gabon, Kenya, Madagascar, Mauritius, Morocco, Nigeria and South Africa. The ratio of life and non-life insurance premiums to gross domestic product are employed as proxies for insurance market development. Findings – The results of the bound test shows a long-run relationship between insurance market activities and economic growth for Kenya, Mauritius, Morocco, Nigeria and South Africa. Causality analysis within the vector error correction model indicates a uni-directional causality from insurance market development to economic growth except for Morocco where there is evidence of a bi-directional causality. Causality within the vector autoregressive framework also provides evidence of a uni-directional causality for Algeria and Madagascar to support the “supply-leading” hypothesis while mixed causality was found for Gabon. Practical implications – This findings provides policy direction for governments and regulatory authorities for developing insurance market in the sample countries. Originality/value – This is the first study to examine the finance-growth relationship from the perspective of insurance markets in a cross-section of African countries.

Non-Indian aid and growth nexus in Bhutan

2015 ◽  
Vol 14 (2) ◽  
pp. 117-129
Author(s):  
Jigme Nidup
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Foreign Aid ◽  
Time Series Data ◽  
Labour Force ◽  
Unit Root Test ◽  
Series Data ◽  
Content Type ◽  
Distributed Lag ◽  
The Impact

Purpose – The purpose of this paper is to investigate the impact of Non-Indian foreign aid on economic growth. In addition, this paper also investigates the importance of governance, policy and democratic institution in fostering economic growth. Planned development activities in Bhutan are mostly funded through external assistance, particularly from India. Bhutan also receives assistance from other bilateral and multilateral countries besides India. Design/methodology/approach – This study adopts the autoregressive distributed lag approach to cointegration using time-series data from 1982 to 2012. To ensure stationarity of data, the unit root test is conducted. Necessary diagnostic tests are also performed to confirm that the model does not violate regression assumptions. Findings – Findings indicate that Non-Indian foreign aid, governance and democracy are detrimental to economic growth. Policy and investment is found insignificant determinant. However, labour force and technology are found fostering economic growth. Research limitations/implications – Less number of observations restrained detailed analysis like the use of interactive terms between aid and governance, aid and policy to see its actual impact. Data on Indian aid could not be sourced from any documents. Those available were found only for few years restricting time series analysis. Originality/value – This study explored the impact of various determinants on economic growth in Bhutan. These findings provide useful insights for policymakers in Bhutan to make necessary decisions. The analysis also suggests future ground for research to those scholars and researchers.

scholarly journals Infrastructures Development, Environmental Quality and Economic Growth in Nigeria

2021 ◽  
pp. 097493062110584
Author(s):  
Ademola E. Ojo ◽  
Ditimi Amassoma
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Environmental Quality ◽  
Time Series Data ◽  
Human Life ◽  
Value Added ◽  
Green Economy ◽  
Series Data ◽  
Long Run ◽  
Bound Test

The Earth as a planet supports human life, living and activities, attracting extensive and intensive socioeconomic influences on the economy. Such activities like infrastructures development exerts increasing and divers environmental quality concerns and hence the economic growth. While these variables appear interrelated due to many factors including population growth, urbanisation, etc. However, the relationship between infrastructures, environment and economic growth is not largely known especially in Nigeria. This study therefore investigated their relationship using time series data between 1990 and 2019 by adopting Co-integration estimation technique through the Bound test approach of auto regressive distributive lag method using percentage share of building and construction sector of gross domestic product (GDP), carbon dioxide, population growth GDP growth rate, etc. as variables. The study revealed that the infrastructures development and environmental quality explain economic growth and have both short and long run relationships while specifically population growth and agriculture, forestry, fishing, value added variables are positively significant to economic growth. The findings evidences of both short and long run relationships among the variables are significant and it is consequently recommended that new roles for infrastructure sets and production processes should consider environmental quality mindsets to achieve positive green economy outcomes in Nigeria. JEL Classification: O18, O44, Q5

scholarly journals Financial Development and Economic Growth in Nepal: An ARDL Bound Test Approach

2021 ◽  
Author(s):  
Pradeep Panthi
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Time Series Data ◽  
Series Data ◽  
Reverse Causality ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Long Run ◽  
Domestic Credit ◽  
Bound Test

Abstract This study empirically examines the dynamic relationship between financial development and economic growth in Nepal using annual time series data from 1985 to 2016. The financial development is measured by domestic credit to the private sectors, domestic credit to the private sectors by banks, broad money (M2) and net domestic credit, separately. All are ratios to GDP. The economic growth is measured by real GDP per capita. The bound test approach of cointegration under autoregressive distributed lag (ARDL) model reveals that Nepal’s financial development and economic growth are cointegrated with bi-directional causality in the long-run. Thus, the study concludes that financial development and economic growth positively and significantly impact each other. The causal effects running from financial development to economic growth are portent then economic growth to financial development. However, the speed of adjustment towards long-run equilibrium, directing from economic growth to financial development is reasonably robust. There is one-directional reverse causality running from economic growth to financial development in the short-run. Therefore, the study suggests policymakers to prioritize policies to develop a well-functioning financial sector to enhance economic growth, especially for developing countries like Nepal.JEL ClassificationsG21, C22, F43, O11, O16

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.

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.

CAUSAL RELATIONSHIP OF ENERGY CONSUMPTION AND ECONOMIC GROWTH – A CASE STUDY OF PAKISTAN

2021 ◽  
Vol 9 (1) ◽  
pp. 139-164
Author(s):  
Saddam Hussain ◽  
Chunjiao Yu
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Inflation Rate ◽  
Time Series Data ◽  
Consumer Price Index ◽  
Series Data ◽  
Relationship Of

This paper explores the causal relationship between energy consumption and economic growth in Pakistan, applying techniques of co-integration and Hsiao’s version of Granger causality, using time series data over the period 1965-2019. Time series data of macroeconomic determi-nants – i.e. energy growth, Foreign Direct Investment (FDI) growth and population growth shows a positive correlation with economic growth while there is no correlation founded be-tween economic growth and inflation rate or Consumer Price Index (CPI). The general conclu-sion of empirical results is that economic growth causes energy consumption.

Sign in / Sign up

Export Citation Format

Share Document