Globalisation, Economic Growth and Income Inequality in Nigeria

2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu

This article examines the link between globalisation, economic growth and income inequality in Nigeria using annual secondary data over the period 1981–2018. Specifically, it attempts to examine the following questions: (a) What is the direction of causation among globalisation, economic growth and inequality? (b) What is the impact of globalisation and economic growth on inequality? (iii) Do trade globalisation and financial globalisation have differential impacts on inequality in Nigeria? The article used both vector error correction modelling (VECM) and auto-regressive distributed lag (ARDL) techniques. The VECM results show a unidirectional causality from inequality and globalisation to economic growth in the long run, whereas a unidirectional causation was observed from inequality to economic growth in the short run. The ARDL estimate shows that globalisation and economic growth are significant determinants of inequality in Nigeria. Furthermore, it is observed that trade and financial globalisation influenced income inequality differently. In the light of these findings, the article recommends that the foreign direct investment should be channelled towards empowering the poor, and the dividends of economic growth should be evenly distributed to reduce the income inequality gap.

2012 ◽  
Vol 19 (1) ◽  
pp. 61-77
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman

The article aims to investigate the impact of nominal devaluation on income distribution in Bangladesh both in short and long runs. In doing so, Auto Regressive Distributed Lag (ARDL) bounds testing has been employed for cointegration, and Error Correction Model (ECM) has been used for short-run dynamics. The empirical psychology has confirmed the existence of long-run relationship between the variables. Furthermore our estimated results reveal that nominal devaluation tends to decrease income inequality. Though economic growth appears to improve income distribution, non-linear link between both the variables, however, depicts Kuznets’ inverted-U curve (1955). Financial development causes further deterioration in income distribution. Trade openness contributes to income inequality as discussed in Leontief Paradox.


2016 ◽  
Vol 55 (2) ◽  
pp. 95-111
Author(s):  
Syed Sundus Raza ◽  
Anwar Hussain

This paper estimate the impact of sectoral FDI on economic growth and carbon dioxide emissions in Pakistan. To this end, it uses time series secondary data from 1972 to 2011 and applies Auto Regressive Distributed Lag (ARDL) models. The results showed that FDI inflows in manufacturing, transport, storage and communication sectors and energy consumption have positive effect on the GDP growth of Pakistan. Besides, FDI inflow in manufacturing, transport, storage and communication sector and population density are responsible for the CO2 emissions in Pakistan. The results also validate Environmental Kuznet Curves in both long and short run. JEL Classification: E2, O4, Q5 Keywords: Sectoral FDI, CO2 emissions, Environmental Kuznet Curves, Gross Domestic Product Growth


2021 ◽  
Vol 2021 (1) ◽  
pp. 21-30
Author(s):  
Olawunmi Omitogun ◽  
Adedayo Emmanuel Longe ◽  
Shehu Muhammad ◽  
Idowu Jacob Adekomi

The study investigates the impact of economic growth and fuel subsidy on the environment of Nigeria from the year 1985-2018. We used Auto-regressive Distributed Lag (ARDL) to analyse the data employed in this study. From our findings, it was revealed that output per head had a positive and significant impact on carbon emission both in the long-run and short-run, while subsidy which explains government policy also had a negative and significant impact on carbon emission both in the short-run and long-run. The Error Correction Model (ECM) showed that 96% of shocks in the response variable are corrected in the long-run by the independent variables. It was concluded that increasing output in the economy increases the amount of carbon emission in the economy while removal of fuel subsidy reduces the amount of carbon emission in the economy. Therefore, effective policies should be implemented towards reducing carbon emission without hampering the growth of the economy.


2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök

The aim of the study is to investigate the impact of income inequality on environmental quality in Turkey within the Environmental Kuznets Curve framework. In order to observe the short-run and long-run effects of income inequality on environmental quality, an autoregressive distributed lag bounds test on CO2 emission has been employed for the period 1963–2011 of Turkey. The results of the analysis reveal that there is a negative association between CO2 emission level and income inequality, which implies that increasing income inequality reduces environmental degradation in Turkey. Hence, a greater inequality in the society leads to less aggregate consumption in the economy due to lower propensity to emit in the richer households resulting in better environmental quality. The findings confirm an argument in the existing literature, which suggests that for developing countries, until a certain level of development, environmental degradation increases as income inequality in the society decreases. The results also confirm the Environmental Kuznets Curve hypothesis.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 


2021 ◽  
Vol 9 (6) ◽  
pp. 219-233
Author(s):  
Ezekiel Kalvin Duramany-Lakkoh

This study investigates the impact of foreign aid on economic growth in Sierra Leone using cointegration and error correction methodology by Johansen and Juselius (1990). Utilizing secondary data for the period 1970 to 2018, the empirical estimation revealed that foreign aid in Sierra Lone is positively and significantly related to economic growth both in the short run and long run, confirming the importance of the study. The policy implication of the study is that the Sierra Leone government should seek more foreign aid to accelerate economic growth and development.  


2020 ◽  
Author(s):  
Iftikhar Muhammad ◽  
Malik Shahzad Shabbir

Abstract Purpose This study intends to analyze the long-run and short-run relationships along with the identification of causal links between exports, economic growth, and exchange rate in Turkey. Data/Design: This study uses auto-regressive distributed lags (ARDL) and Granger causality over time series monthly data from the year 2010–2018. The results indicate that exports are significantly positively related to economic growth while the exchange rate is found to be negatively related to economic growth. Findings: Moreover, findings from the test of Granger causality indicate that a unidirectional causal association is found from exports to foreign direct investment and economic growth and from economic growth to foreign direct investment. The Granger causality results indicate that an increase in exports accelerates the economic growth of Turkey and a change in growth rate and exchange rate leads to a change in foreign direct investment. Originality of work: The overall findings suggest that exports should be promoted along with the liberal-investment economic policies to boost the overall economic growth in Turkey.


2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Noula Armand Gilbert ◽  
Chouafi Nguekam Orfé ◽  
Kamajou François

This study evaluates the simultaneous impact of public and private investments on economic growth in the CEMAC zone between 1984 and 2017.To attain this aim, we use the Vector Error Correction Model (VECM) to test the direction of causality between the three variables above at the level of each country. We find that the direction of causality is not the same in all the countries both in the short as in long-run. We then develop an ideal model going from the Cobb Douglas production function which we quantitatively validate using panel data estimation through the method of Pool Mean Group which takes into account individual specificities. It arises that contrary to economic theory, private sector investments have positive and significant effects in short-run. However, the impact of public investments is negative and significant. In the long-run, the effects are reversed and call on the authorities of the CEMAC zone to reinforce the political risk to strengthen the public-private partnership in the process of sustainable growth.


2018 ◽  
Vol 1 (2) ◽  
pp. p94
Author(s):  
Kando Serge Gbagbeu

In this study, we concern mainly about the short and long-run relationship between economic growth and financial development. We use a multi-steps methodology, namely the Autoregressive Distributed Lag (ARDL) approach and the Vector Error Correction Model (VECM) approach to test this relationship in Côte d’Ivoire from 1980 to 2014. Following our results, we conclude that there is a unidirectional causal relationship, both long run and short run, between GDP per capita and financial development index in Côte d’Ivoire running from economic growth to financial development.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Hala Hjazeen ◽  
Mehdi Seraj ◽  
Huseyin Ozdeser

AbstractThe main objective of this study is to investigate the impact of unemployment on Jordan's economy over the period 1991–2019. This study used the auto-regressive distributed lag (ARDL) model to investigate the relationship between the unemployment rate and the other variables. Also, we employ the ARDL bootstrap cointegration approach to examine the correlation and long-run relationship among the variables. The empirical finding indicated a long-run relationship between the unemployment rate, economic growth, education, female population, and urban population in Jordan. Our finding shows the negative linkage between economic growth and unemployment, and a positive relationship among the education, female population, and urban population and unemployment in Jordan.


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