Work

Analyzing the Interplay of Industrial Growth, Energy Use, and Employment in Turkiye: A Least Squares Approach

Year: 2025

Type: article

Abstract: The aim of this study is to examine the relationship between the development of the industrial sector, employment rates and energy consumption in Turkiye. The annual data series between 2001-2020 is used in the research. According to the LCC regression results, the F test is significant and the significance coefficient R2 has a value of 0.3698. These two results show that the independent variables used in the model together are statistically significant in explaining the dependent variable, and the model explains about 36% of the increase and decrease in employment rates, which is the dependent variable. According to the results of the t-test, which shows whether the coefficients obtained for the independent variables are statistically significant, while the coefficients calculated for energy consumption are significant from the 95% confidence interval, the coefficient calculated for the industrial sector growth is meaningless.

Source: International Journal of Energy Economics and Policy

DOI: 10.32479/ijeep.20918

Authors: Nigar Huseynli, Gözde Kandemir Comoglu

Institutions: Khazar University, Western Caspian University, Azerbaijan State University of Economics, Academy of the State Customs Committee of the Republic of Azerbaijan, Istinye University

Language: English

Topic: Energy, Environment, Economic Growth

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $590