• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

The Impact of Economic Growth, Renewable Energy, Non-renewable Energy and Trade Openness on the Ecological Footprint and Forecasting in Turkiye: an Case of the ARDL and NMGM Forecasting Model

bib

Özlem Karadağ Albayrak, Ph.D.

Samet Topal

Serhat Çamkaya, Ph.D.


Abstract

In this study, the effects of economic growth, renewable and non-renewable energy production and trade openness on ecological footprint for Turkey were investigated. By using the annual data for the period 1980-2016, the short- and long-term relationship with the Autoregressive Distributed Lag Model (ARDL) was examined. In addition, a prediction model is presented with the Multivariate Gray Prediction Model (NMGM) method. According to the findings obtained from the ARDL model, economic growth, renewable and non-renewable energy production have a positive effect of 0.166, 0.1431 and 0.1118, respectively, on the ecological footprint in the long run. In the short run, economic growth, renewable energy production and non-renewable energy production has the same effect of 0.1941, 0.1673 and 0.1308 on the ecological footprint. In addition, no effect of trade openness on the ecological footprint has been detected, both in the long and short run. The originality of this study is to investigate the short- and long-term effects of economic growth and trade openness on the ecological footprint, in addition to the amount of renewable energy production and non-renewable energy production in Turkey, using the ARDL model. In addition, another originality of this study is a dynamic evaluation of the ecological footprint for Turkey and the determination of the impact values of the variables that affect the ecological footprint. ARIMA models, in which the dependent variable is estimated with its own past values, are generally used as estimation models. Likewise, univariate gray estimation models also make estimations with the dependent variable's own past values. Another unique aspect of this study is the use of a gray estimation model, in which the variables that have been shown to have a significant short- and long-term relationship with ARDL are also included in the model.

Keywords: ARDL, Ecological Footprint, Gray Estimation, Renewable and Non-Renewable Energy Production

Jel Classification: C46

Suggested citation

Karadağ Albayrak, Ö., Topal, S. & Çamkaya, S. (). The Impact of Economic Growth, Renewable Energy, Non-renewable Energy and Trade Openness on the Ecological Footprint and Forecasting in Turkiye: an Case of the ARDL and NMGM Forecasting Model. Alphanumeric Journal, 10(2), 139-154. https://doi.org/10.17093/alphanumeric.1144398

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Volume 10, Issue 2, 2022

2022.10.02.ECON.03

alphanumeric journal

Volume 10, Issue 2, 2022

Pages 139-154

Received: July 16, 2022

Accepted: Oct. 18, 2022

Published: Dec. 31, 2022

Full Text [513.2 KB]

2022 Karadağ Albayrak, Ö., Topal, S., Çamkaya, S.

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