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An Essay on the Energy and Equity Relationship With a Panel Data Analysis (2011-2020)

An Essay on the Energy and Equity Relationship With a Panel Data Analysis (2011-2020)

Muhlis Selman Saglam
Copyright: © 2023 |Pages: 14
ISBN13: 9781668467275|ISBN10: 1668467275|ISBN13 Softcover: 9781668467282|EISBN13: 9781668467299
DOI: 10.4018/978-1-6684-6727-5.ch004
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MLA

Saglam, Muhlis Selman. "An Essay on the Energy and Equity Relationship With a Panel Data Analysis (2011-2020)." Perspectives on Ecological Degradation and Technological Progress, edited by Veli Yilanci, IGI Global, 2023, pp. 79-92. https://doi.org/10.4018/978-1-6684-6727-5.ch004

APA

Saglam, M. S. (2023). An Essay on the Energy and Equity Relationship With a Panel Data Analysis (2011-2020). In V. Yilanci (Ed.), Perspectives on Ecological Degradation and Technological Progress (pp. 79-92). IGI Global. https://doi.org/10.4018/978-1-6684-6727-5.ch004

Chicago

Saglam, Muhlis Selman. "An Essay on the Energy and Equity Relationship With a Panel Data Analysis (2011-2020)." In Perspectives on Ecological Degradation and Technological Progress, edited by Veli Yilanci, 79-92. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-6727-5.ch004

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Abstract

This study investigated how income inequality is shaped according to energy-related variables. For this, income inequality is the independent variable; energy efficiency, energy import dependency, and energy efficiency are included in the model as independent variables. The data of the 17 founding countries of the OECD between 2011-2020 is used. According to the F Test results, the model has a one-way unit effect. According to the robust Hausman test, the random effect is valid. There are heteroscedasticity and autocorrelation in the context of deviations from the assumption. On the other hand, the data fit a normal distribution. Also, there is no multicollinearity and no inter-unit correlation. In light of all these, the model was estimated with Arellano, Froot, and Rogers Estimator. According to the model estimation results, the model is not statistically significant. This shows that the relationship between income distribution and energy, which Illich expressed qualitatively, is not quantitatively valid for the 17 OECD founding countries.

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