scholarly journals Environmental Degradation and Nigeria’s Macroeconomic Space

2017 ◽  
Vol 7 (1) ◽  
pp. 37 ◽  
Author(s):  
Ozoemena Stanley Nwodo ◽  
Jude Onyekachi Ozor ◽  
Udoka Ede Okekpa ◽  
Victoria Chinonso Agu
Keyword(s):  
Environmental Kuznets Curve ◽  
Trade Openness ◽  
Carbon Dioxide Emission ◽  
Secondary Data ◽  
Kuznets Curve ◽  
Macroeconomic Variables ◽  
Development Indicator ◽  
World Development Indicator ◽  
The Relationship ◽  
World Development

The fear for the future of human existence on this planet has made it necessary to pay special attention to studies that are related to the environment. In view of this, this study attempts to re-examine the environmental Kuznets curve in the midst of selected macroeconomic variables in Nigeria. The study estimated the relationship between carbon dioxide emission and some selected macroeconomic variables such as energy consumption (proxied by energy price); gross domestic product; population density; trade openness; ratio of manufacturing as a share of GDP and foreign direct investment using the ARDL model. With the adoption of secondary data for the period of 1981 to 2016 obtained from the world development indicator, the findings validated an N-shaped relationship between economic growth and the pollution in Nigeria in the midst of other Macroeconomic variables and based on this, it was recommended among others the building of a strong and effective environmental regulatory framework for the Nigerian economy and the adoption of clean technologies for the Nigerian economy

ECONOMETRIC MODELLING OF THE CONSUMPTION OF ELECTRICITY IN GHANA WHEN STRUCTURAL BREAKS EXIST

2020 ◽  
Vol 7 (3) ◽  
pp. 205-220
Author(s):  
Samuel Asuamah Yeboah
Keyword(s):  
Structural Breaks ◽  
Trade Openness ◽  
Electricity Consumption ◽  
Annual Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Development Indicator ◽  
Short Run ◽  
World Development Indicator ◽  
World Development

The research modelled electricity consumption for Ghana using annual data for the period 1971-2011, obtained from world development indicator. The research adopts the Gregory and Hansen model of cointegration for the estimation in the presence of structural breaks. The results reveal stable short run and long-run relationships among the explanatory variables and electricity consumption. The findings suggest that financial development explain electricity consumption in Ghana both in the short run and in the long run. The other variables (trade openness, price, and income) in the estimated model do not significantly explain electricity consumption. Therefore, they are not reliable policy variables in managing electricity consumption.

scholarly journals Macroeconomic Variables And Corruption In Malaysia

2019 ◽  
Vol 5 (2) ◽  
pp. 112
Author(s):  
Zahariah Mohd Zain ◽  
Fatimah Setapa ◽  
Ruzita Baah ◽  
Khaleed Kusnin
Keyword(s):  
Human Capital ◽  
Government Spending ◽  
Capital Investment ◽  
Time Series Data ◽  
Trade Openness ◽  
Least Square ◽  
Series Data ◽  
Macroeconomic Variables ◽  
Development Indicator ◽  
The Relationship

Despite the government’s effort to eradicate corruption, it is still impossible to combat it as long as individuals with no integrity and sense of responsibility exists in organizations. ca This study is to investigate the relationship between several macroeconomics variables with corruption. The macroeconomics variables include government spending, human capital, investment and trade openness. This study uses time series data from the year 1994-2016. The data were obtained from Political Risk Service (PRS) and World Development Indicator from World Bank. Ordinary Least Square (OLS) method is used to examine the relationship between all the macroeconomic variables and corruption. The macroeconomic variables found to be significantly related to corruption in Malaysia were human capital and trade openness. However changes in the corruption in Malaysia may not necessarily be influenced by government spending and investment. Furthermore, all variables are found to have a positive relationship with corruption. The general findings of this paper strongly suggested that corruption in Malaysia is increasing continuously. Therefore efforts by the Malaysian government and policy makers are badly needed to fight corruption in order to foster better economic growth through improved business operations, employment and investments.

scholarly journals Agro-Allied Industry and its Relevance on Economic Performance: Evidence from Nigeria

2017 ◽  
Vol 3 (6) ◽  
pp. 25
Author(s):  
Gylych Jelilov ◽  
Kashim Andrew Bahago
Keyword(s):  
Time Series Data ◽  
Value Added ◽  
Secondary Data ◽  
Series Data ◽  
Poverty Level ◽  
Factor Endowments ◽  
Long Run ◽  
Development Indicator ◽  
World Development Indicator ◽  
World Development

<p>Nigeria is a nation with various factor endowments, but yet there is still the threat of hunger, extreme poverty and the need to combat this menace calls for urgent attention. Therefore, this study is to focus on the analysis of agro-allied industry and the possibility of reducing the poverty level of the Nigerian populace and enhance a better economic condition. The data for this study is a yearly range from 1986 – 2015. The time series data used for this study is secondary data obtained from world development indicator (WDI). Using the Augmented Dicky-Fuller to check for stationarity of variables after which I will conduct the cointegration test to check for the long-run relationship between the variables. Therefore the findings from various econometrics techniques employed for this study show that there is a long-run relationship between agricultural value-added and gross domestic product.</p>

scholarly journals Determinants of Environmental Degradation and Empirical Investigation of Kuznets Curve: A Comparative Study of India and Bangladesh

2016 ◽  
Vol 6 (5) ◽  
pp. 131-141
Author(s):  
Humaira Husain
Keyword(s):  
Nitrous Oxide ◽  
Environmental Degradation ◽  
Urban Areas ◽  
Carbon Emission ◽  
Nitrous Oxide Emission ◽  
Kuznets Curve ◽  
Contributing Factors ◽  
Development Indicator ◽  
World Development Indicator ◽  
World Development

This paper investigates the factors responsible for Environmental degradation in terms of higher Carbon dioxide and Nitrous oxide emission over the period 1981 – 2011 for Bangladesh and India from data of World development indicator. Industrialization and greenhouse gas are major contributing factors identified for deteriorating the air quality in Bangladesh and India respectively. Concentration of population in urban areas increases carbon emission and economic globalization reduces Nitrous oxide emission in both economies. Estimation results of reduced from equation for CO2 emission provides support in favour of inverted U and N shaped Kuznets curve for India which is robust to using dynamic specification. For Bangladesh the shape is Inverted U but this is not robust to using dynamic model. In quadratic approach to Kuznets curve energy consumption does play an important role for increased carbon emission in India but not in Bangladesh.

Technology Innovation Based on Environmental Kuznets Curve Hypothesis

2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang
Keyword(s):  
Energy Consumption ◽  
Environmental Kuznets Curve ◽  
Technology Innovation ◽  
Added Value ◽  
Kuznets Curve ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Environmental Kuznets Curve Hypothesis ◽  
The Relationship ◽  
Carbon Economy

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN PROVINSI BALI

2020 ◽  
Vol 3 (2) ◽  
pp. 335-344
Author(s):  
Rendi Kurniawan ◽  
Syamsul Huda
Keyword(s):  
Income Distribution ◽  
Calculation Result ◽  
Capita Income ◽  
Secondary Data ◽  
Strong Relationship ◽  
Kuznets Curve ◽  
Per Capita ◽  
Typology Analysis ◽  
The Relationship ◽  
Index Calculation

This study aims to determine the Regency / City Classification in Bali Province based on the Klassen Typology, the condition of income distribution inequality between districts / cities, the relationship between income distribution inequality with per capita income, and whether the relationship forms the U-Reverse Kuznets Curve. This research is an analysis of secondary data obtained from BPS Bali Province. The analytical model used is Klassen Typology analysis, Williamson Index, Product Moment Correlation (Pearson). Klassen's Typology Results, Badung Regency and Denpasar City are included in Quadrant I area, Gianyar Regency is included in Quadrant III area, and the remaining 6 Regencies are included in Quadrant IV area. Furthermore, the Williamson Index Calculation in the Year of Observation shows that there is an imbalance in the Province of Bali which shows a downward trend. While the calculation result of Product Moment Correlation (Pearson) shows a very strong relationship between the Williamson Index and the Per capita GRDP and is negative, but the relationship does not form the Kuznets Curve to be a U-Reverse letter.

scholarly journals Study on the relationship between industrialization level, economic development and environmental pollution in China

2019 ◽  
Vol 7 (6) ◽  
pp. 01-06
Author(s):  
Junran Ma
Keyword(s):  
Economic Development ◽  
Environmental Pollution ◽  
Environmental Kuznets Curve ◽  
Added Value ◽  
Response Analysis ◽  
Kuznets Curve ◽  
Per Capita Gdp ◽  
Per Capita ◽  
Pollution Emissions ◽  
The Relationship

With the development of economy, environmental problems gradually outstanding in China. This article adopts the method of empirical study, have collected the data of China's industrial added value, per capita GDP and emissions of the three major pollutants from 2004 to 2015. The VAR model was established on the basis of the logarithm values of the three factors mentioned above, so as to conduct impulse- response analysis to discuss the relationship between industrialization level, economic development and environmental pollution. The conclusion is as follows: (1) At present, the increase of China's industrial added value can promote the decline of China's environmental pollution emissions to a certain extent; (2) China is now at the left of the turning point of the Environmental Kuznets Curve, and the increase of per capita GDP will aggravate environmental pollution.

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