Does Nominal Devaluation Improve Income Distribution? Evidence from Bangladesh

2012 ◽  
Vol 19 (1) ◽  
pp. 61-77
Author(s):  
Muhammad Shahbaz ◽  
Mohammad Mafizur Rahman
Keyword(s):  
Income Inequality ◽  
Income Distribution ◽  
Trade Openness ◽  
Bounds Testing ◽  
Correction Model ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

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.

Globalisation, Economic Growth and Income Inequality in Nigeria

2020 ◽  
Vol 14 (2) ◽  
pp. 202-212
Author(s):  
NWOSA Philip Ifeakachukwu
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Secondary Data ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact ◽  
Financial Globalisation

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.

scholarly journals Environmental Impact of Economic Growth and Fuel Subsidy in Nigeria

2021 ◽  
Vol 2021 (1) ◽  
pp. 21-30
Author(s):  
Olawunmi Omitogun ◽  
Adedayo Emmanuel Longe ◽  
Shehu Muhammad ◽  
Idowu Jacob Adekomi
Keyword(s):  
Economic Growth ◽  
Government Policy ◽  
Carbon Emission ◽  
Correction Model ◽  
Independent Variables ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

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.

Income inequality and CO2 emissions: Empirical evidence from Turkey

2018 ◽  
Vol 30 (3) ◽  
pp. 444-461 ◽  
Author(s):  
Caner Demir ◽  
Raif Cergibozan ◽  
Adem Gök
Keyword(s):  
Income Inequality ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Aggregate Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Impact

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.

scholarly journals The nexus between tourism demand and output per capita with the relative importance of trade openness and financial development

2016 ◽  
Vol 23 (1) ◽  
pp. 168-186 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Ronald Ravinesh Kumar ◽  
Stanislav Ivanov ◽  
Nanthakumar Loganathan
Keyword(s):  
Financial Development ◽  
Structural Breaks ◽  
Trade Openness ◽  
Tourism Demand ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
In Series ◽  
Per Capita ◽  
The Impact

This article revisits the tourism-growth nexus in Malaysia using time series quarterly data over the period 1975–2013. The authors examine the impact of tourism using two separate indicators – tourism receipts per capita and visitor arrivals per capita. Using the augmented Solow production function and the autoregressive distributed lag bounds procedure, they also incorporate trade openness and financial development and account for structural breaks in series. The results show the evidence of cointegration between the variables. Assessing the long-run results using both indicators of tourism demand, it is noted that the elasticity coefficient of tourism is 0.13 and 0.10 when considering visitor arrivals and tourism receipts (in per capita terms), respectively. Notably, the impact of tourism demand is marginally higher with visitor arrivals. The elasticity of trade openness is 0.19, that of financial development is 0.09 and that of capital share is 0.15. In the short run, the coefficient of tourism is marginally negative, and for financial development and trade openness, it is 0.01 and 0.18, respectively. The Granger causality tests show bidirectional causation between tourism and output per capita, financial development and tourism and trade openness and tourism demand, duly indicating the feedback or mutually reinforcing impact between the variables and providing evidence that tourism is central to enhancing the key sectors and the overall income level.

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 Capital Flight and Domestic Investment in Nigeria: Evidence From ARDL Methodology

2019 ◽  
Vol 11 (1) ◽  
pp. 348
Author(s):  
Lionel Effiom ◽  
Alfa Charles Achu ◽  
Samuel Etim Edet
Keyword(s):  
Cumulative Effect ◽  
Local Economy ◽  
Capital Flight ◽  
Domestic Investment ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
The Impact

Capital flight is a challenge for many developing countries of the world. The problem is more severe in a nation like Nigeria where domestic investment has been terribly affected. This study undertakes an empirical investigation of the impact of capital flight on domestic investment in Nigeria between 1980 and 2017. Deploying the Auto Regressive Distributed Lag (ARDL) econometric methodology, the study finds that capital flight has negative and significant impact on domestic investment. In particular, the long run impact of capital flight on domestic investment (0.57) turns out to be more severe than its impact in the short run (0.27), implying that a continuous and persistent build-up of capital flight exerts a negative cumulative effect on domestic investment over time. The study further reveals that the quality of institutions in Nigeria is a disincentive to domestic investment. It therefore recommends the strengthening of institutions to rein in on the illegal outflow of capital from the Nigerian economy in order to guarantee the availability of investible funds. The real sector of the local economy must be grown to bolster the value of the naira. This will stem the tide of capital flight and attract investments into critical sectors.

scholarly journals Impact of Institutional Quality on Multilateral Aid in Nigeria

2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Ezebuilo Romanus Ukwueze ◽  
Uchenna Casmir Ugwu ◽  
Ogochukwu Anastasia Okafor
Keyword(s):  
Institutional Quality ◽  
Bounds Testing ◽  
Development Indicators ◽  
Transparency International ◽  
Multilateral Aid ◽  
Distributed Lag ◽  
Use Of Resources ◽  
Long Run ◽  
Short Run ◽  
The Impact

The linkage between quality of institutions and economic performance of nations has generated a lot of interest among scholars, due to their influence on development of many countries and effective use of resources including foreign aid from multilateral organizations. Two strands of theories emerge on the institutions-multilateral aids nexus: those for benefits of aid to growth and development; and those for harms caused by aid. The research objective is to investigate the impact of institutional quality on multilateral aid in Nigeria. To do this, the study applied auto-regressive distributed lag (ARDL) bounds testing approach. Data for the study were sourced from the ICRG data, WGI data, QoG database, Transparency International, and World Development Indicators (WDI). The findings show that institutional quality variables do not have any influence on the multilateral aid in Nigeria, except the ‘independence of judiciary’ which appeared statistically significant. In the short-run analysis, the disequilibrium in the long-run equilibrium is corrected for in the next quarter period by about 25%; almost all the variables are statistically and significantly influencing multilateral aid. It is therefore recommended that donor agencies should consider other factors that negatively influence official development assistance (ODA) such as politics, location and colonial history.

scholarly journals Does Trade Liberalization Affect Energy Saving in Nigeria?

2018 ◽  
Vol 6 (4) ◽  
Author(s):  
Aliyu Alhaji Jibrilla
Keyword(s):  
Energy Use ◽  
Energy Intensity ◽  
Trade Openness ◽  
Value Added ◽  
Annual Data ◽  
Distributed Lag ◽  
Long Run ◽  
Dynamic Ols ◽  
Short Run ◽  
Auto Regressive

The study empirically examines the role of trade openness and other determinants in explaining the intensity of energy use in Nigeria using annual data from 1981 to 2015. The paper uses an auto-regressive distributed lag (ARDL) model in interpreting both long-run energy intensity as a co integrating relation, and its short-run dynamics. The robustness of ARDL results is verified using Dynamic OLS (DOLS) estimation technique. The results provide evidence of a Cointegration relation between energy intensity and its determinants. The results provide evidence that trade only significantly reduces energy intensity in the short run. Meanwhile, the results also show that income growth and industry value added have significant reducing effects on energy intensity. The results also raise some important policy issues, particularly on the inflows of foreign aid.

scholarly journals The impact of military spendings on economic growth of Pakistan

2017 ◽  
Vol 1 (1) ◽  
pp. 53-64
Author(s):  
Sajjad ◽  
Tariq ◽  
Muhammad Tariq
Keyword(s):  
Economic Growth ◽  
Positive Impact ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Long Run ◽  
Defence Spending ◽  
Augmented Dickey Fuller ◽  
Negative Effect ◽  
Short Run ◽  
The Impact

A sound national defence is extremely essential for a country’s sovereignty. The geostrategic position of Pakistan and its deterrence policy against neighbouring India have generally been the reasons for stringent military financing. Defence spending affects all sectors of the economy directly or indirectly. This study aims to investigate the influence of government military expenditures on the economic growth of Pakistan over the period 1987-2016. Augmented Dickey-Fuller test has been used for checking the unit root in the data. Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration has been applied to analyze the relationship between military spending and economic growth. The findings indicate that military expenditure has a positive impact on Pakistan's economic growth in the long-run, however it has negative effect on economic growth in the short-run.

scholarly journals Income Inequality and Public Debt: What Can Be Learned from the Lebanese Indebtedness?

2020 ◽  
Vol 10 (4) ◽  
pp. 83
Author(s):  
Adham Sayed
Keyword(s):  
Income Inequality ◽  
Public Debt ◽  
Negative Impact ◽  
Correction Model ◽  
The Public ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
The Impact

This paper examines the impact of domestic public debt on income inequality in Lebanon. The analysis is carried out using the Autoregressive Distributed Lag (ARDL) approach and Error Correction Model (ECM). The data used covers the period between 1990 and 2015. By applying the bounds test, we indicate that there is the existence of a long-run relationship between our variables. Therefore, in both the short and long run, our results show that the domestic share of public debt has a positive and significant effect on income inequality. Hence, a bigger share of domestic public debt leads to wider income inequality. We also suggest steps that may halt the negative impact of public debt on equality in Lebanon, such as reforming the tax system, restructuring the public debt, and searching for sources other than borrowing to cover the budget deficit.

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