Related Experiment Video
Updated: Aug 23, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
Published on: July 3, 2020
Economic growth, human capital, and energy consumption in Algeria: evidence from cointegrating polynomial regression
Mohammed Bouznit1, María P Pablo-Romero2, Antonio Sánchez-Braza3
1Laboratoire Economie et Développement, Faculté des Sciences Economiques, Commerciales et des Sciences de Gestion, Université de Bejaia, 06000, Bejaia, Algeria.
Abstract:
This article aims to empirically analyze the direct and the indirect effects of human capital on energy consumption in Algeria, as well as to test the possible presence of the energy-environmental Kuznets curve (E-EKC) hypothesis, over the period 1970-2017, using cointegrating polynomial regressions (CPR) with break points, and a simultaneous equations model. The obtained results indicate that human capital directly reduces energy demand, and indirectly increases it through income and physical capital stock channels. However, the direct effect is higher than that of the indirect effect. Additionally, CPR results confirm a monotonic increasing relationship between energy use and real GDP per capita; therefore, there is no evidence of the E-EKC hypothesis. This means that increasing economic growth leads to a rise in energy consumption and, in turn, to an intensification of CO2 emissions. The results also indicate that physical capital stock per capita, urban population ratio, and real GDP per capita are positively linked to energy use per capita. In that context, it may be appropriate to adapt the energy system to the growing demand, promoting greater use of renewable energies, if emissions growth is to be contained. Investment in education and improving the quality of human capital is a good way for Algeria to reduce energy consumption and protect the environment, without negatively impacting economic growth.
Related Concept Videos
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Econometric Views (EViews)
Mechanistic Models: Compartment Models in Individual and Population Analysis
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

