Energy Policy Issues in Turkey

2020 ◽  
pp. 1152-1168
Author(s):  
Dilek Temiz Dinç ◽  
Aytaç Gökmen ◽  
Zehra Burçin Kanık
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Production ◽  
Renewable Energy Resources ◽  
Causality Test ◽  
Long Run ◽  
Renewable Energy Production ◽  
Augmented Dickey Fuller ◽  
The Republic ◽  
Johansen Cointegration Test

Energy is the source of development of the mankind and an indispensable input for economic growth. Currently, most of the energy consumed in the world is composed of fossil fuels which are not environmentally friendly and reliable since their prices are volatile and their supply compels importing countries dependent on energy exporting countries. Thus, a good remedy to reduce fossil fuel dependency is to utilize more renewable energy resources. Renewable resources can be replenished quickly, are almost infinite and would lead a country to sustainable development. The Republic of Turkey is a net importer of energy. The diversification of energy sources and supply security is of great importance for it. Thus, the objective of this study is to analyze the relationship between renewable energy production and economic growth in Turkey by using Johansen Cointegration Test, Vector Error Correction Model (VECM), Granger Causality Test and the Augmented Dickey-Fuller Test (ADF). Consequently, both long run and short run a casualty running from GDP growth to renewable energy production is determined in the study.

Energy Policy Issues in Turkey

2017 ◽  
Vol 6 (3) ◽  
pp. 50-65
Author(s):  
Dilek Temiz Dinç ◽  
Aytaç Gökmen ◽  
Zehra Burçin Kanık
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Production ◽  
Fossil Fuels ◽  
Renewable Energy Resources ◽  
Causality Test ◽  
Long Run ◽  
Renewable Energy Production ◽  
Short Run ◽  
The Republic

Energy is the source of development of the mankind and an indispensable input for economic growth. Currently, most of the energy consumed in the world is composed of fossil fuels which are not environmentally friendly and reliable since their prices are volatile and their supply compels importing countries dependent on energy exporting countries. Thus, a good remedy to reduce fossil fuel dependency is to utilize more renewable energy resources. Renewable resources can be replenished quickly, are almost infinite and would lead a country to sustainable development. The Republic of Turkey is a net importer of energy. The diversification of energy sources and supply security is of great importance for it. Thus, the objective of this study is to analyze the relationship between renewable energy production and economic growth in Turkey by using Johansen Cointegration Test, Vector Error Correction Model (VECM), Granger Causality Test and the Augmented Dickey-Fuller Test (ADF). Consequently, both long run and short run a casualty running from GDP growth to renewable energy production is determined in the study.

scholarly journals ANALISIS HUBUNGAN ANTARA INFLASI DAN PERTUMBUHAN EKONOMI: KASUS INDONESIA

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Ismail Fahmi Lubis
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Unit Root ◽  
Consumer Price Index ◽  
Sustainable Growth ◽  
Causality Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Short Run ◽  
Johansen Cointegration Test

The Phenomena and trends of level of inflation which seem to be high as caused by factors or government policies whilst the level of economic growth averagely shows high and sustainable growth drawing the unusual macroeconomic condition in Indonesia. This research is conducted to find Correlation and Short-run as well as Long-run relationship between inflation and economic in Indonesia during 1968-2012. Besides, it is to find Granger-Causality between the Consumer Price Index (CPI) and Gross Domestic Product (GDP). It first tests its Unit-Root by Augmented Dickey Fuller and Dickey Fuller test, then it tests its Cointegration by Johansen Cointegration test and its causal relationship by Granger-Causality test as well as it makes mechanism of Error Correction Model (ECM). It is found both inflation and economic growth have no Unit-Root. It is found both inflation and economic growth have Correlation. It is found significantly long-run relationship through the probability value of its residual and short-run relationship through the probability value of inflation and economic growth in its differentiation. It is then found significantly one-way Granger-causality GDP causes CPI but not found one-way Granger-causality CPI causes GDP.

scholarly journals Assessing Renewable Energy Production Capabilities Using DEA Window and Fuzzy TOPSIS Model

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 334 ◽  
Author(s):  
Chia-Nan Wang ◽  
Thanh-Tuan Dang ◽  
Hector Tibo ◽  
Duy-Hung Duong
Keyword(s):  
United States ◽  
Renewable Energy ◽  
Total Energy ◽  
United Arab Emirates ◽  
Energy Production ◽  
Evaluation Method ◽  
Scale Up ◽  
Renewable Energy Resources ◽  
Population Total ◽  
Renewable Energy Production

Climate change and air pollution are among the key drivers of energy transition worldwide. The adoption of renewable resources can act as a peacemaker and give stability regarding the damaging effects of fossil fuels challenging public health as well as the tension made between countries in global prices of oil and gas. Understanding the potential and capabilities to produce renewable energy resources is a crucial pre-requisite for countries to utilize them and to scale up clean and stable sources of electricity generation. This paper presents a hybrid methodology that combines the data envelopment analysis (DEA) Window model, and fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) in order to evaluate the capabilities of 42 countries in terms of renewable energy production potential. Based on three inputs (population, total energy consumption, and total renewable energy capacity) and two outputs (gross domestic product and total energy production), DEA window analysis chose the list of potential countries, including Norway, United Kingdom, Kuwait, Australia, Netherlands, United Arab Emirates, United States, Japan, Colombia, and Italy. Following that, the FTOPSIS model pointed out the top three countries (United States, Japan, and Australia) that have the greatest capabilities in producing renewable energies based on five main criteria, which are available resources, energy security, technological infrastructure, economic stability, and social acceptance. This paper aims to offer an evaluation method for countries to understand their potential of renewable energy production in designing stimulus packages for a cleaner energy future, thereby accelerating sustainable development.

scholarly journals Renewable Energy Development as a Driver of Economic Growth: Evidence from Multivariate Panel Data Analysis

2019 ◽  
Vol 11 (8) ◽  
pp. 2418 ◽  
Author(s):  
Nadia Singh ◽  
Richard Nyuur ◽  
Ben Richmond
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Renewable Energy ◽  
Energy Production ◽  
Developing Economies ◽  
Panel Data Analysis ◽  
Least Square ◽  
Renewable Energy Production ◽  
The Future ◽  
The Impact

Renewable energy is being increasingly touted as the “fuel of the future,” which will help to reconcile the prerogatives of high economic growth and an economically friendly development trajectory. This paper seeks to examine relationships between renewable energy production and economic growth and the differential impact on both developed and developing economies. We employed the Fully Modified Ordinary Least Square (FMOLS) regression model to a sample of 20 developed and developing countries for the period 1995–2016. Our key empirical findings reveal that renewable energy production is associated with a positive and statistically significant impact on economic growth in both developed and developing countries for the period 1995–2016. Our results also show that the impact of renewable energy production on economic growth is higher in developing economies, as compared to developed economies. In developed countries, an increase in renewable energy production leads to a 0.07 per cent rise in output, compared to only 0.05 per cent rise in output for developing countries. These findings have important implications for policymakers and reveal that renewable energy production can offer an environmentally sustainable means of economic growth in the future.

Renewable and non-renewable energy consumption and economic growth in the US: A Markov-Switching VAR analysis

2020 ◽  
pp. 0958305X2094403
Author(s):  
Emrah Ismail Cevik ◽  
Durmuş Çağrı Yıldırım ◽  
Sel Dibooglu
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Energy Demand ◽  
Fossil Fuels ◽  
The United States ◽  
Renewable Energy Consumption ◽  
Causality Test ◽  
Long Run ◽  
The Us

We examine the relationship between renewable and non-renewable energy consumption and economic growth in the United States. While the regime-dependent Granger causality test results for the non-renewable energy consumption and economic growth suggest bi-directional causality in both regimes, we cannot validate any causality between renewable energy consumption and economic growth. The US meets its energy demand from non-renewable sources; as such, renewable energy consumption does not seem to affect economic growth. Given the efficiency and productivity of renewable energy investments, we conclude that it is worthwhile to consider renewable energy inputs to replace fossil fuels given potential benefits in terms of global warming and climate change concerns. In this regard, increasing the R&D investments in the renewable energy sectors, increases in productivity and profitability of renewable energy investments are likely to accrue benefits in the long run.

Contribution of StockMarket Towards Economic Growth: An Empirical Study on Bangladesh Economy

2017 ◽  
Vol 13 (4) ◽  
pp. 238 ◽  
Author(s):  
Sonia Rezina ◽  
Nusrat Jahan ◽  
Mohitul Ameen Ahmed Mustafi
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Market Performance ◽  
Unit Root Test ◽  
Causality Test ◽  
Stock Market Development ◽  
Stock Market Performance ◽  
Augmented Dickey Fuller ◽  
Johansen Cointegration Test ◽  
The Impact

The economic growth of a country is influenced by many different factors. This study aims to investigate the causal relationship between stock market development and economic growth in Bangladesh as well as the impact of stock market performance upon the economic growth of Bangladesh. The stock market performance has been measured by market capitalization ratio, number of listed companies, total value traded and turnover ratio; and the economic growth was represented by real gross domestic product. The periods taken for study were from year 1994 to year 2015.The effect of the stock market reform will also be addressed to explain the relationship. The study has been conducted using Augmented Dickey- Fuller Unit Root Test, Johansen Cointegration Test and the Granger Causality Test. The findings of the research should help the policy makers and regulators to look after their interest in the financial sector of the country.

scholarly journals Exports and Economic Growth: The Arab Experience

2000 ◽  
Vol 39 (2) ◽  
pp. 153-169 ◽  
Author(s):  
Mohammed Ibrahim EL-Sakka ◽  
Naief hamad Al-Murairi
Keyword(s):  
Economic Growth ◽  
Theoretical Background ◽  
Arab Countries ◽  
Annual Data ◽  
Causality Test ◽  
Long Run ◽  
Augmented Dickey Fuller ◽  
Stationarity Tests ◽  
The Relationship ◽  
Cointegration Relationship

This paper aims at analysing the relationship between exports and economic growth in the Arab countries using annual data for the period 1970-1999. Section two of this study presents a theoretical background of the relationship between exports and economic growth. Literature review is found in Section 3. In Section 4, the methodological issues of studying this relationship are discussed. Results of stationarity tests using Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) as well as Bivariate Johansen-Juseluis tests for cointegration are presented in Section 5. Stationarity tests suggest that time series are non-stationary in their levels and seem to be stationary in their first differences. Testing for long-run cointegration relationship using Johansen-Juseluis approach, it is found that in general there is no cointegration relationship between exports and GDP. For this reason, we abandoned the error correction model and tested for causality using different versions of Granger’s causality test. We found mixed results about the causal relationship between exports and GDP in Arab countries.

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