scholarly journals Infrastructures Development, Environmental Quality And Economic Growth In Nigeria

2021 ◽  
Author(s):  
Ademola Ojo ◽  
Ditimi J. Amassoma
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Population Growth ◽  
Environmental Quality ◽  
Time Series Data ◽  
Human Life ◽  
Jel Classification ◽  
Series Data ◽  
Annual Growth Rate ◽  
Bound Test

Abstract The earth as a planet supports human life, living and activities that attract extensive and intensive socioeconomic influences on the environment and the economy. Such activities like Infrastructures development exert increasing and divers environmental quality concerns and hence on economic growth. While these variables appear interrelated due to many factors including population growth, urbanization, industrialization etc., however, the nature of the interrelationship is not largely known especially in Nigeria. This study therefore investigated and examine their relationship using time series data between 1990-2019 by adopting Co-Integration estimation technique through the Bound Test approach of Auto Regressive Distributive Lag (ARDL) method, using percentage share of Building and Construction Sector (BCS) of GDP, Carbon dioxide percentage of fuel combustion (CTE), annual growth rate of Agriculture (AFF), population growth, GDP growth rate etc. as variables. The study revealed that infrastructures development, environmental quality explains economic growth and they all have both short and long run relationship while specifically population growth and AFF variables are positively significant to economic growth. The finding evidences the significance of the relationship and consequently recommended new roles for infrastructure sets and production processes that consider environmental quality mindsets to achieve positive green economic growth outcomes in Nigeria.JEL Classification: Q5, O18, O44

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 An Econometric Validation of Malthusian Theory: Evidence in Nigeria

2018 ◽  
Vol 7 (1) ◽  
pp. 77-90
Author(s):  
Musa Abdullahi Sakanko ◽  
Joseph David
Keyword(s):  
Population Growth ◽  
Food Production ◽  
Time Series Data ◽  
Control Measure ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Bound Test ◽  
Malthusian Theory

Rising population is an asset, provided, the skills of the workforce are used to the maximum extent. If not appropriately channelized, it can be a liability for a nation. A skilled and hardworking population can emerge as a foundation for a country’s development. This study examines the validity of Malthusian Theory in Nigeria using time series data from 1960 to 2016, employs the ARDL bound test techniques. The result shows that in the long-run, population growth and food production move proportionately, while population growth poses a depleting effect on food production in the short-run, thus validating the incidence of Malthusian impact in Nigerian economy in the short-run. The researcher recommended the government should strategize plans, which will further intensify family planning and birth control measure, compulsory western education and revitalization of the agricultural sector.DOI: 10.150408/sjie.v7i1.6461

scholarly journals TREND, GROWTH RATE AND INSTABILITY ANALYSIS OF PRODUCTION, PRODUCTIVITY, AREA AND SUPPLY OF POTATO IN KAVREPALANCHOK DISTRICT, NEPAL

2021 ◽  
Vol 1 (2) ◽  
pp. 88-87
Author(s):  
Mahesh Rijal ◽  
Rabin Thapa ◽  
Arvind Srivastava ◽  
Gunakeshari Lamsal
Keyword(s):  
Growth Rate ◽  
Time Series Data ◽  
Annual Growth ◽  
Series Data ◽  
Annual Growth Rate ◽  
Wholesale Market ◽  
White Potato ◽  
Instability Analysis ◽  
Compound Annual Growth Rate ◽  
Future Production

A study was carried out to assess the trend of area, production, productivity and supply of potato in Kavre district, Nepal. The time-series data (1999/00 to 2017/18) were collected from the “Statistical Information on Nepalese Agriculture” published yearly by the Ministry of Agriculture and Livestock Development, Nepal and the data of potato (red and white) supply from Kavre to Kalimati wholesale market from 2000/01 to 2019/20 was collected from the official website of Kalimati market. The data were entered and analyzed using Microsoft Excel and XLSTAT. Mann-Kendall test (M-K) and Sen’s slope method were used for trend analysis. The results showed that the potato cultivation area increased by 341.786 ha/year, production increased by 8323.933 Mt/year and productivity increased by 0.231 Mt/ha/year from 1999/00 to 2017/18. Similarly, the red potato supply from Kavre to the Kalimati market increased by 13.412 Mt/year and the white potato supply decreased by 234.174 Mt/year during the period from 2000/01 to 2019/20. The instability analysis showed 34.41%, 41.36% and 11.16%. coefficient of variation for area, production and productivity while red potato and white potato supply showed 11.64% and 107.86% variation. The average annual growth rates for area, production and productivity of potato were 6.02%, 8.83% and 2.43%, respectively. Similarly, growth rate of red potato supply was 3.91% per annum while white potato supply decreased at the compound annual growth rate of 19.61%. Thus, an increasing trend of area, production and productivity and supply of potato along with a positive growth rate for the potato can be seen in the Kavre district. Findings from this study could be used to suggest necessary policy guidelines for future production and marketing strategies of potato in Kavre.

scholarly journals Pengaruh Pertumbuhan Ekonomi, Tingkat Inflasi, dan Pertumbuhan Penduduk terhadap Tingkat Pengangguran Terbuka di Indonesia

2019 ◽  
Vol 18 (1) ◽  
pp. 52
Author(s):  
Irma Yuni Astuti ◽  
Nanik Istiyani ◽  
Lilis Yuliati
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Linear Regression ◽  
Population Growth ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Series Data

This study aims to determine the effect of economic growth, inflation and population growth in open unemployment rate in Indonesia. The type of data used in this study is secondary data in the form of time series data and variable data used are annual data in the period 1986-2017 with the object of research in the country o Indonesia. The data sources used in this study were obtained from the Central Statistics Agency (BPS) Indonesia and World Bank. The analytical method used in this study is multiple linear regression analysis with the Ordinary Least Square (OLS) technique. The estimation of time series data with multiple linear regression analysis shows that the economics growth variable has a positive and not significant effect on the level of open unemployment, the inflation variable has a positive and not significant effect on the level of open unemployment, and the population growth variable has a negative and significant effect on the level of open unemployment in Indonesia. Keywords: Open Unemployment, Economic Growth, Inflation, Population Growth

scholarly journals Impact of Industrial Hollowing on Regional Economic Growth Rate: An Empirical Analysis based on Shanghai’s Data

2018 ◽  
Vol 14 (22) ◽  
pp. 223
Author(s):  
Yajie Bai ◽  
Maoguo Wu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Time Series Data ◽  
Negative Impact ◽  
Empirical Test ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Producer Price ◽  
Economic Growth Rate ◽  
Labor Resources

The relation between industrial hollowing-out and Shanghai’s economic growth rate was analyzed by using ordinary least squares and ECM regression model. Data used in the empirical test was a monthly time series data from January 2003 to February 2017. Empirical results show Industrial producer price index, and the total amount of imports has a positive relationship with economic growth rate. However, fixed asset investment, land use cost, and labor resources cost have a negative impact on economic growth rate.

scholarly journals Vector error correction model to analyze energy uses, environmental quality and economic growth during Covid-19 Pandemic

2021 ◽  
Vol 926 (1) ◽  
pp. 012066
Author(s):  
I Fahria ◽  
I Sulistiana
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Environmental Quality ◽  
Time Series Data ◽  
Series Data ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Cointegration Relationship

Abstract Time series data commonly show are interconnected behaviour and non-stationer interrelated variables, so a model that able to obtain a good forecasting result from a non-stationary multivariate variables time series data are needed. Vector Error Correction Model (VECM) is one of multivariate time series model which is a vector form of Vector Autoregressive Boundary (VAR) for non-stationary time series data and has a cointegration relationship. The purpose of this study is to identify the VECM model in analyzing the relationship between energy use, environmental quality (CO2), and economic growth (GDP) during the Covid-19 pandemic that plagued Indonesia. The results of this study explained energy uses and and environmental quality (CO2) and economic growth (GDP) are interrelated and have a long-term cointegration relationship due to the influence of the Covid-19 pandemic.

scholarly journals The Relationship between Electric Power Consumption, Foreign Direct Investment and Economic Growth in Sri Lanka

2020 ◽  
pp. 21-31
Author(s):  
S. Maheswaranathan
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Sri Lanka ◽  
Direct Investment ◽  
Time Series Data ◽  
Empirical Finding ◽  
Electricity Consumption ◽  
Series Data ◽  
Long Run ◽  
Bound Test

Purpose: This paper investigates the long run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Design/Methodology/Approach: The annual time series data over the period 1970–2017 is considered to this study. Augmented Dickey–Fuller (ADF) unit root analysis is employed for examining the stationary properties of the variables. Consequently, Autoregressive Distributed Lag (ARDL) analysis is employed to examining the short- run and long-run relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka. Further, this study used the diagnostic tests such as the residual normality test, heteroskedasticity and serial autocorrelation tests for misspecification to validate the parameter estimation outcomes achieved by the estimated model. CUSUM test is applied to test the stability of the model. Collected data were analyzed using STATA version 15. Findings: The findings of the bound test confirm that the variables are cointegrated. Further the results reveal that there is a statistically positive significant relationship between electricity consumption, foreign direct investment and economic growth in Sri Lanka in the long run and short term. The empirical finding reveals that one percent increase in electricity consumption and foreign direct investment increases the GDP by 1.5 percent and 12.9 percent in the long run respectively.

scholarly journals Decomposition of Economic Growth in Sri Lanka: Deep Look into the Service Sector

2018 ◽  
Vol 10 (3) ◽  
pp. 1416-1422
Author(s):  
Pivithuru Janak Kumarasinghe ◽  
M P M D Sandaruwan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Sri Lanka ◽  
Service Sector ◽  
Time Series Data ◽  
Series Data ◽  
Specific Service ◽  
Policy Makers ◽  
Research Findings ◽  
Per Capita

The service sector gives the highest contribution to the economic growth of the country and it is about more than 50. Therefore service sector give the highest contribution for the economic growth in Srilanka. Through this research the service sector is decomposed. This empirical study was to measuring the contribution for the economic growth in Sri Lanka by service sector. Time series data is used to identify the decomposition of economic growth in Sri Lanka by Service. Annually data is collected from 2006 to 2014. This study mainly focused on growth decomposition methodology developed by Ivanov and Webster and this methodology used to decompose economic growth in Sri Lanka by service sector. This model presents an approach that is general and it can be applied to other countries. The methodology identifies the direct impacts of specific service sector components on the per capita growth of real gross domestic product. The study found that each service sector components in this analysis has a very different contribution to the growth rate in the economy. The research findings would provide guidance to the policy makers to develop policies, procedures, programs and standards.

scholarly journals Effect of Economic and Agricultural Diversification on the Economic Growth in Nigeria

2020 ◽  
Vol 40 (01) ◽  
Author(s):  
Ohunyeye O. Felix ◽  
Obamen Joseph ◽  
Omonona Solomon ◽  
Agbaeze K. Emmanuel
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
Test Method ◽  
Annual Reports ◽  
Domestic Product ◽  
Series Data ◽  
Agricultural Diversification ◽  
The Government ◽  
Bound Test

The study examines the effect of economic and agricultural diversification on economic growth in Nigeria. The objectives were to determine the effect of government agricultural spending on Nigeria’s Gross Domestic Product. Data were collected from secondary sourced using the time series data which was extracted from the Central Bank of Nigeria (CBN) annual Statistical Bulletin for the period and The Nigeria Bureau of Statistic annual reports. Data were analyzed using the Autoregressive Distributed Lag (ARDL) approach or Bound Test Method. The findings revealed that Government agricultural expenditure does not have a significant effect on Gross Domestic Product. The investigation suggested that the government at all level should increase their budgetary allocations for agriculture and also develop a functional agricultural long-term blueprint to improve the sector.

scholarly journals Pengaruh pertumbuhan ekonomi terhadap kemiskinan Kabupaten Tanjung Jabung Timur

2020 ◽  
Vol 9 (1) ◽  
pp. 11-20
Author(s):  
Risang Dwi Anggoro ◽  
Syaparuddin Syaparuddin ◽  
Nurhayani Nurhayani
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Capital Expenditures ◽  
Poor People ◽  
Food Crops ◽  
Economic Growth Rate ◽  
Simple Regression

This study aims to determine the economic development of poverty in East Tanjung Jabung Regency. The data is used in this study is secondary data in the form of time series data and economic growth rate in East Tanjung Jabung Regency. The method of analysis is used in this study is a simple regression. The results of this study indicated that significant capital expenditures to the GDP of the food crops sub-sector and the revenue of regency/city in Jambi Province have no significant effect. Likewise, with strong changes in the number of poor people, the percentage of poor, poverty indices, and poverty severity indices have no significant effect. Keywords: Economic growth, Poverty

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