Economic Analysis of Capital Expenditure and Infrastructural Development in Nigeria

2018 ◽  
Vol 10 (1-2) ◽  
pp. 52-62 ◽  
Author(s):  
Chukwuemeka Valentine Okolo ◽  
Richardson Kojo Edeme ◽  
Chinanuife Emmanuel
Keyword(s):  
Capital Expenditure ◽  
External Debt ◽  
The Past ◽  
Infrastructural Development ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
The Impact ◽  
Positive Effect

Infrastructural development has been the major concern of countries all over the world due to its significant impact in fostering growth. In Nigeria, it has been observed that the level of infrastructure posed serious threat to attaining sustained growth. This study therefore examines the impact of capital expenditure on infrastructural development in Nigeria, utilising time series from 1970 to 2017. The study adopted autoregressive distributed lag (ARDL) model due to the possibility of the past value of the dependent variable explaining its present value, and found that capital expenditure, construction expenditure and non-oil revenue have the potency of accentuating infrastructural development in the long-run but such is being hampered by external debt. The positive effect of recurrent expenditure on infrastructural development is a pointer that bulk of the expenditure in Nigeria over the years is recurrent in nature. These suggest the need to boost non-oil revenue, reduce recurrent and channel external debt into productive infrastructural development.

scholarly journals Tax revenue and private domestic investment

2019 ◽  
Vol 1 (2) ◽  
pp. 25-32
Author(s):  
Richard Umeokwobi ◽  
Emeka Nkoro
Keyword(s):  
Ordinary Least Squares ◽  
Tax Revenue ◽  
Domestic Investment ◽  
Secondary Sources ◽  
Used Oil ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
The Impact

This paper investigated the impact of tax revenue on private domestic investment in Nigeria from 1980 to 2018 using the modified ordinary least squares- Autoregressive distributed lag (ARDL). The paper used oil revenue, non-oil revenue, and Corporate Income Tax (CIT) as the independent variables while Private Domestic Investment (PDI) is the dependent variable. Oil revenue and non-oil revenue were used as a proxy for oil and non-oil tax. These data were obtained from secondary sources- central Bank of Nigeria, World Bank database and Federal Inland Revenue service statistical bulletin. The result showed that a long-run relationship exists between the aforementioned variables. Also, the paper revealed that oil and non-oil do not have a significant impact on PDI but CIT has a positive and significant impact on PDI. The paper recommends that proper measures/reforms should be put in place in order to reduce the impact of tax on private domestic investment in Nigeria.

scholarly journals Tax revenue and private domestic investment: Evidence from Nigeria

2019 ◽  
Vol 1 (4) ◽  
pp. 19-26
Author(s):  
Richard Umeokwobi ◽  
Emeka Nkoro
Keyword(s):  
Ordinary Least Squares ◽  
Tax Revenue ◽  
Domestic Investment ◽  
Secondary Sources ◽  
Used Oil ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
The Impact

This paper investigated the impact of tax revenue on private domestic investment in Nigeria from 1980 to 2018 using the modified ordinary least squares- Autoregressive distributed lag (ARDL). The paper used oil revenue, non-oil revenue, and Corporate Income Tax (CIT) as the independent variables while Private Domestic Investment (PDI) is the dependent variable. Oil revenue and non-oil revenue were used as a proxy for oil and non-oil tax. These data were obtained from secondary sources- central Bank of Nigeria, World Bank database and Federal Inland Revenue service statistical bulletin. The result showed that a long-run relationship exists between the aforementioned variables. Also, the paper revealed that oil and non-oil do not have a significant impact on PDI but CIT has a positive and significant impact on PDI. The paper recommends that proper measures/reforms should be put in place in order to reduce the impact of tax on private domestic investment in Nigeria.

scholarly journals Does the Export-Led Growth Hypothesis Hold for Services Exports in Emerging Economies?

2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  
Keyword(s):  
Economic Growth ◽  
Emerging Economies ◽  
Emerging Countries ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Positive Effect ◽  
Growth Hypothesis

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 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. 

The impact of Iran Central Bank’s sanction on Tehran Stock Exchange

2017 ◽  
Vol 59 (3) ◽  
pp. 365-375 ◽  
Author(s):  
Mahdi Salehi ◽  
Mostafa Karimzadeh ◽  
Navid Paydarmanesh
Keyword(s):  
Central Bank ◽  
Stock Price ◽  
Negative Impact ◽  
Stock Exchange ◽  
Oil Prices ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Positive Effect

Purpose US sanctions have been a major feature of US Iran policy since Iran’s 1979 Islamic revolution, but the imposition of UN and worldwide bilateral sanctions on Iran that began in 2006 and increased dramatically as of 2010 is recent by comparison. The objectives of US sanctions have evolved over time. Broad international sanctions imposed on Iran harmed Iran’s economy and contributed to Iran’s acceptance of agreements that exchange constraints on its nuclear program for sanctions relief. The subject of this study is important because both Iran and the international communities are demanding for information about the effect of sanctions on Iran. In an international and regional perspective, it seems that sanctions have a negative impact on economic, social and even political status of Iran. Therefore, this paper aims to examine the impact of Iran Central Bank sanction on Tehran Stock Exchange as on December 31, 2011. Design/methodology/approach Variables of model are consisted by exchange rate, oil prices and Tehran Stock Exchange Price Index (TEPIX) from October 2, 2011 to March 29, 2012, which is offered daily. To analyze the model, the authors used Johansen–Juselius and Autoregressive Distributed Lag (ARDL) methods. Findings The results indicate that there is a long-run equilibrium relationship between selected variables as oil prices, and exchange rates have a positive effect on the TEPIX. In other words, the results of the econometric estimation show the positive effect of the Iran Central Bank sanction on the TEPIX. Thus, because of economic sanctions imposed by the Western countries, Tehran Stock Exchange has been growing. Originality/value No empirical research exists that examines the impact of sanctions on stock price in developing countries. This study fills this gap by examining the links between sanctions and stock price in Iran.

scholarly journals Changes in Crude Oil Prices and the Flow of Government Revenue

2019 ◽  
pp. 1-12
Author(s):  
Chukwunweike Stella ◽  
Achu Tonia Chinedu ◽  
Awa Kalu Idika
Keyword(s):  
Oil Prices ◽  
Oil Price ◽  
Government Revenue ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Oil Revenue ◽  
Crude Oil Prices ◽  
Regression Techniques ◽  
The Government ◽  
The Impact

This work is set out as an investigation into the impact of change in oil prices on government revenue broken into oil and nonoil component. Drawing data from the Central Bank Statistical Bulletin and covering the period 1981 to 2018. The Autoregressive Distributed Lag (ARDL) Model was used because of its advantages over other regression techniques. It was found that changes in oil price affected oil revenue within the studied period leaving no significant impact on nonoil revenue. The result obviously reflects the Nigerian economy and its mono-product characteristic. It is therefore recommended that a conscious policy effort should be made to diversify the economy in a manner that makes revenue to the government multifarious functions.

scholarly journals Workers’ Remittances in Yemen: Macroeconomic Determinants and Impact on Economic Growth

2021 ◽  
Author(s):  
Essa A. Alhannom ◽  
Ghaleb S. Mushabeb
Keyword(s):  
Economic Growth ◽  
Planning Process ◽  
Host Countries ◽  
Macroeconomic Conditions ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Inflation Rates ◽  
Macroeconomic Determinants ◽  
The Impact

This study aims to examine the determinants of workers’ remittances and their impact on economic growth in Yemen. Autoregressive Distributed Lag (ARDL) bounds test to co-integration and error correction model (ECM) were applied on data covering the period from 1990 to 2014. According to the model of remittances determinants, workers’ remittances in Yemen respond to the macroeconomic conditions of both the home and host countries. It is found that, in the long-run, migrant stock and income level at the host countries are positively and strongly influence remittances level, with a feeble impact of domestic inflation rates. The effect of the home country’s income seems to be positive but insignificant in explaining the behavior of remittances level. The model of economic growth suggests that, in the long-run,  the impact of workers’ remittances appears to be positive and moderate with positive and stronger influences observed for financial development and official development assistance. Accordingly, it is recommended that a lesser weight should be given to remittances in the strategic planning process, taking into consideration the increasing potentials of the conditions in the neighboring host countries to be changed. In addition, using remittances as a means of economic growth can be enhanced by encouraging migrants to direct their savings towards productive investment activities, and via formal channels.

scholarly journals Zakat and SDGs: Impact Zakat on Human Development in the Five States of Malaysia

2017 ◽  
Vol 2 (1) ◽  
pp. 61-69 ◽  
Author(s):  
Eko Suprayitno ◽  
Mohamed Aslam ◽  
Azhar Harun
Keyword(s):  
Economic Growth ◽  
Human Development ◽  
Development Program ◽  
Granger Causality Test ◽  
Development Education ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact

Zakat is intended to stimulate economic development, education, social, human resources empowerment, religion health, and insurance programs. The seven programs above are implemented by the Malaysian government to improve economic growth. The aim of the study is to examine the impact zakat on human development program in Malaysia using the Autoregressive Distributed Lag (ARDL) bound testing approach. The analysis was carried out for the period from 1980–2009. The finding of the research reveals that zakat has a positive and significant influence on human development in five state in the short and long run. Zakat in Malaysia can be used as tool of fiscal policy that is decided in the states of Malaysia to stimulate human development and economic growth in the long run. Keyword: Zakat, Human Development, Granger causality test

scholarly journals Impact of Public Capital Expenditure on Inflation Rate in Nigeria

2021 ◽  
Vol 2 (4) ◽  
pp. 30-39
Author(s):  
Jideofor Nnennaya Joy ◽  
Michah Chukwuemeka Okafor ◽  
Eke Onyekachi Abaa
Keyword(s):  
Unit Root ◽  
Inflation Rate ◽  
Capital Expenditure ◽  
Unit Root Test ◽  
Public Capital ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Mixed Order ◽  
Augmented Dickey Fuller ◽  
The Impact

This paper examines the impact of public capital expenditure on inflation rate in Nigeria. The data for the study were sourced from various issues of the Central Bank of Nigeria’s statistical bulletin. The data was subjected to unit root test using Augmented Dickey fuller (ADF) approach to ascertain the time series properties. Descriptive statistics was used to assess the socioeconomic characteristics of the variables. Due to the mixed order of integration witnessed in the unit root, ARDL- Autoregressive Distributed Lag approach was used for cointegration and regression analysis. The result found that Public capital expenditure is negatively and statistically significant (tcal = -2.903) in influencing Inflation Rate in Nigeria. This outcome is highly directional in the sense that prudent and productive spending will always subdue inflation in any economy; therefore, this study recommend that government should increase its investment in production sectors and encourage skilful and willing citizens to participate, since this would reduce the expenses being incurred on business as a result low currency value and raise the profitability of firms.

scholarly journals Effects of COVID-19 on Indian Energy Consumption

2020 ◽  
Vol 12 (14) ◽  
pp. 5616 ◽  
Author(s):  
Kentaka Aruga ◽  
Md. Monirul Islam ◽  
Arifa Jannat
Keyword(s):  
Energy Consumption ◽  
Positive Impact ◽  
Indian Government ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
North Eastern ◽  
Relaxed Energy ◽  
Positive Effect

Just after the Indian government issued the first lockdown rule to cope with the increasing number of COVID-19 cases in March 2020, the energy consumption in India plummeted dramatically. However, as the lockdown relaxed, energy consumption started to recover. In this study, we investigated how COVID-19 cases affected Indian energy consumption during the COVID-19 crisis by testing if the lockdown release had a positive impact on energy consumption and if richer regions were quicker to recover their energy consumption to the level before the lockdown. Using the autoregressive distributed lag (ARDL) model, the study reveals that a long-run relationship holds between the COVID-19 cases and energy consumption and that the COVID-19 cases have a positive effect on Indian energy consumption. This result indicates that as lockdown relaxed, energy consumption started to recover. However, such a positive impact was not apparent in the Eastern and North-Eastern regions, which are the poorest regions among the five regions investigated in the study. This implies that poorer regions need special aid and policy to recover their economy from the damage suffered from the COVID-19 crisis.

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