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.

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.

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.

scholarly journals Socioeconomic Determinants of Renewable Energy Production in Emerging and Developed Countries

2021 ◽  
Author(s):  
Suzanna Elmassah
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Renewable Energy Sources ◽  
Developed Countries ◽  
Emerging Countries ◽  
Oil Price ◽  
Annual Data ◽  
Long Run ◽  
Renewable Energy Production ◽  
Short Run

Abstract Energy is essential for development and economic growth, but traditional non-renewable energy sources are finite and have significant adverse environmental impacts. Therefore, there is an increasing interest in energy generation from renewable sources. However, research to date in this field does not sufficiently identify the common factors determining the uptake of renewable energy in emerging and developed countries. This paper addresses that gap by identifying the complex interrelationships between factors that determine the extent to which countries convert to renewable energy. The article's primary focus is a detailed statistical analysis of 10 developed and 16 emerging countries using annual data from 1976–2018. The objective is to examine the interrelationships and elasticities between increased production of renewable energy and three key socioeconomic variables; GDP, CO2 emissions, and oil price. This research uses panel data and time-series analyses to identify panel and country-specific elasticity of renewable energy production and dynamic causal relationships between these variables. It also applies fully modified and dynamic ordinary least square approaches. The study details the different interactions between the variables in each country. It uses an autoregressive distributed lag model to determine the long and short-run dynamics between renewable energy production and the three variables in each country. The paper shows there was a long-run elasticity between renewable energy and GDP in the developed countries and short-run dynamics between renewable energy and the other two variables. Whereas in the emerging countries category, there were long-run relationships between renewable energy and GDP, CO2 emissions, and oil price.

scholarly journals The Impact of Environmental Policy Stringency on Renewable Energy Production in the Visegrad Group Countries

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6225
Author(s):  
Justyna Godawska ◽  
Joanna Wyrobek
Keyword(s):  
Renewable Energy ◽  
Environmental Policy ◽  
Energy Production ◽  
Positive Impact ◽  
Policy Instruments ◽  
Long Run ◽  
Renewable Energy Production ◽  
Short Run ◽  
Per Capita ◽  
The Impact

Various environmental policy instruments supporting the development of renewable energy are used on an increasing scale as part of the policy of mitigating climate change and more. In our paper, we examine the influence of environmental policy stringency on renewable energy production in the Czech Republic, Hungary, Poland and Slovakia for the period 1993–2012 after controlling for gross domestic product per capita growth, CO2 emissions per capita and income inequality. We use the Panel Pooled Mean Group Autoregressive Distributive Lag model to analyze the long-run and the short-run relationship between restrictiveness of environmental policy and renewable energy generation. The results reveal that, in the long run, a more stringent environmental policy has a positive impact both on the increase in the absolute volume of renewable energy production, as well as on the replacement of energy from fossil sources. Our main findings indicate that renewable energy production is positively influenced not only by the stringency of instruments aimed directly at the development of this energy sector, but also by the stringency of instruments with other environmental goals and by the overall level of restrictiveness of the environmental policy.

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.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

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.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

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