scholarly journals Analysis of the relationship between innovation, CO2 emission and renewable energy in Turkey

2021 ◽  
Vol 8 (4) ◽  
pp. 513-521
Author(s):  
Selim İnançlı ◽  
Mustafa Torusdağ

Due to rapid technological development and increase in economic activities, environmental problems such as global warming and climate change, CO2 emission, environmental pollution are among significant global issues. In recent years, Eco-innovations, which are intended to benefit the environment and contribute to environmental sustainability, bring energy by saving technology, adding a new dimension to the concept of innovation as well as bringing its environmentalist face to the fore. In this study, the relationship between innovation, CO2 emissions and renewable energy for the 1990-2019 period for Turkey was examined and analyzed with Bayer-Hanck (2012) cointegration test together with Toda-Yamamoto (1995) and Hacker-Hatemi-J (2006) causality tests. According to Bayer-Hanck (2012) cointegration test, it was concluded that the variables are cointegrated in the long run. In line with the overlapping findings of the causality analyses of Toda Yamamoto (1995) and Hacker-Hatemi-J (2006), it was concluded that there is a one-way causality relationship from CO2 emissions to renewable energy consumption.

2021 ◽  
Vol 13 (6) ◽  
pp. 3039
Author(s):  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Rui Alexandre Castanho ◽  
Dervis Kirikkaleli

Environmental sustainability is an important issue for current scholars and policymakers in the East Asian and Pacific region. The causal and long-run effects of technological innovation, public–private partnership investment in energy, and renewable energy consumption on environmental sustainability in the East Asian and Pacific regions have not been comprehensively explored while taking into account the role of economic growth using quarterly data for the period 1992–2015. Therefore, the present study aims to close this literature gap using econometric approaches, namely Bayer–Hanck cointegration, autoregressive distributed lag (ARDL), dynamic ordinary least square (DOLS), and fully modified ordinary least square (FMOLS) tests. Furthermore, the study utilizes the frequency domain causality test to capture the causal impact of public–private partnership investment in energy, renewable energy consumption, technological innovation, and economic growth on CO2 emissions. The advantage of the frequency domain causality test is that it can capture the causality between short-term, medium-term, and long-term variables. The outcomes of the ARDL, FMOLS and DOLS show that renewable energy consumption and technological innovation mitigate CO2 emissions, while public–private partnership investment in energy and economic growth increase CO2 emissions. Moreover, the frequency causality test outcomes reveal that technological innovation, public–private partnership investment in energy, and renewable energy consumption cause CO2 emissions, particularly in the long-term. Thus, as a policy recommendation, the present study recommends promoting renewable energy consumption by focusing more on technological innovation in the East Asia and Pacific regions.


2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.


Processes ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 130
Author(s):  
Mihail Busu ◽  
Alexandra Catalina Nedelcu

In the past decades, carbon dioxide (CO2) emissions have become an important issue for many researchers and policy makers. The focus of scientists and experts in the area is mainly on lowering the CO2 emission levels. In this article, panel data is analyzed with an econometric model, to estimate the impact of renewable energy, biofuels, bioenergy efficiency, population, and urbanization level on CO2 emissions in European Union (EU) countries. Our results underline the fact that urbanization level has a negative impact on increasing CO2 emissions, while biofuels, bioenergy production, and renewable energy consumption have positive and direct impacts on reducing CO2 emissions. Moreover, population growth and urbanization level are negatively correlated with CO2 emission levels. The authors’ findings suggest that the public policies at the national level must encourage the consumption of renewable energy and biofuels in the EU, while population and urbanization level should come along with more restrictions on CO2 emissions.


Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7504
Author(s):  
Yongming Huang ◽  
Zebo Kuldasheva ◽  
Raufhon Salahodjaev

The goal of this study was to contribute to the ongoing debate on the relationship between renewable energy (RE) and CO2 emissions. In particular, we explored the link between RE and CO2 emissions in a sample of major renewable energy-consuming countries for the period 2000–2015. Therefore, the major contribution of this study was to answer the question of whether a substantial shift to renewable energy consumption will lead to lower CO2 emissions. Using the two-step generalized method of moments (GMM) estimator, our empirical results suggested that RE has a significant negative effect on CO2 emissions. For example, a one percentage point increase in RE leads to a 0.5% decrease in CO2 emissions.


Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5829
Author(s):  
Mateusz Jankiewicz ◽  
Elżbieta Szulc

The paper presents a spatial approach to the analysis of the relationship between air pollution, economic growth, and renewable energy consumption. The economic growth of every country is based on the energy consumption that leads to an increase in national productivity. Using renewable energy is very important for the environmental protection and security of the earth’s resources. Promoting environmentally friendly operations increases awareness of sustainable development, which is currently a major concern of state governments. In this study, we explored the influence of economic growth and the share of renewable energy out of total energy consumption on CO2 emissions. The study was based on the classical environmental Kuznets curve (EKC) and enriched with the spatial dependencies. In particular, we determined the spatial spillovers in the form of the indirect effects of changes in renewable energy consumption of a specific country on the CO2 emissions of neighboring countries. A neighborhood in this study was defined by ecological development similarity. The neighborhood matrix was constructed based on the values of the ecological footprint measure. We used the spatio-temporal Durbin model, with which the indirect effects were determined in relation to the spatially lagged renewable energy consumption. The results of our study also show the strength of the effects caused by imitating actions from the states with high levels of environmental protection. The study was conducted using data for 75 selected countries from the period of 2013–2019. Cumulative spatial and spatio-temporal effects allowed us to determine (1) the countries with the greatest impact on others and (2) the countries that follow the leading ones.


2022 ◽  
Vol 9 ◽  
Author(s):  
Anselme Andriamahery ◽  
Md. Qamruzzaman

The motivation of the study is to gauge the role of renewable energy consumption (REC), energy innovation (EI), and total trade (TR) on environmental sustainability (ES) in selected MENA (Middle East and North Africa) countries for the period 1980–2018 under the assumption of environmental Kuznets curve (EKC). The study implemented several econometrical tools, including structural break unit root test, Bayer–Hanck combined cointegration test, autoregressive distributed lag (ARDL), nonlinear ARDL, and Granger causality test under error correction term. Variables properties test detected that all the variables are stationary after the first difference but neither exposed to stationary after the second difference. The test statistics of the combined cointegration test documented a long-run association between ES, RE, EI, and TR, which is valid for both countries concerned. Regarding EKC concern, study findings with ARDL and nonlinear ARDL validated the EKC hypothesis for Tunisia and Morocco. Finally, the direction causality test documented unidirectional causality between renewable energy and ES, trade and ES, but the feedback hypothesis holds between EI and ES. We can advocate for specific sectoral environmental reforms in Tunisia and Morocco and suggest continuous environmentally friendly technologies by combining study findings. At the same time, subsidies on nonrenewable energy should be reduced, and green trade policies to help advance sustainable development should be implemented.


2021 ◽  
Vol 9 ◽  
Author(s):  
Sobia Naseem ◽  
Wang Hui ◽  
Muddassar Sarfraz ◽  
Muhammad Mohsin

This research aimed to assess and implement the long- and short-run relationship of agriculture and environmental sustainability with control variables. Purposely, this research consolidated theoretical and conceptual principles to create a systematic structure in agriculture for the development of both sectors, i.e., agricultural and the environment. On this ground statement, this research was motivated to contemplate the relationship between carbon dioxide emission, agricultural production, gross domestic product, renewable energy consumption, and foreign direct investment using annual data series of Latin American and Caribbean countries from 1971 to 2018. Autoregressive distributed lag (ARDL) was used as an econometric methodology to examine the relationship among the variables. Agriculture is the most vulnerable sector in Latin American and Caribbean countries, and the economy is heavily dependent on it. The main results of this research indicated that agriculture and CO2 emissions were positively related to each other for the long and short run, which means that agricultural activities increased the CO2 emission levels. At the same time, the control variables showed mixed associations with environmental degradation as gross domestic product (GDP) was positively significant and renewable energy consumption was negatively significant. The error correction (ECt−1) term was negatively significant, confirming the long-run relationship and the speed of adjustment from short- to long-run equilibrium. Agricultural production and GDP led to increments in CO2 emissions, while renewable energy consumption negatively contributed to toxic emissions. The speed of adjustment in Latin American and Caribbean countries was nippy. It required 2.933 periods for the transformation from the short periodic phase to the long term. A comprehensive approach is the research debate rigorously and holistically based on divergent sectors of an economy and their relationship with environmental sustainability. The econometric method, symbolic system, and conceptual existence were designed originally.


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