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


Abstract views: 185 / PDF downloads: 227

Authors

DOI:

https://doi.org/10.15637/jlecon.8.4.10

Keywords:

Innovation, Co2 emissions, Renewable Energy, Causality Test

Abstract

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.

Downloads

Download data is not yet available.

References

AKYUZ, H. (2018). Statistical Analysis of Climatic Variables with Vector Autoregression (VAR) Model. International Journal of Engineering Research and Development, 10(2), 183-192.

APERGIS, N. & OZTURK I. (2015). Testing Environmental Kuznets Curve Hypothesis in Asian Countries. Ecological Indicators, 52: 16–22.

ARI, A. (2016). Analysis of the Relationship between Economic Growth and Unemployment in Turkey: A New Cointegration Test. Journal of Politics, Economics and Management Studies, 4(2): 57-67.

ASSI A.F., ISIKSAL A.Z. & TURSOY, T. (2021). Renewable Energy Consumption, Financial Development, Environmental Pollution, and Innovations in the ASEAN + 3 Group: Evidence from (P-ARDL) Model. Renewable Energy, 165, 689-700.

BAYER, C. & HANCK, C. (2012). Combining Non-Cointegration Tests. Journal of Time Series Analysis, 34 (1), 83-95.

BAYRAMOGLU, T. (2018). Energy and Innovation, Imaj Publishing House, Ankara.

BANERJEE, A., DOLADO J. & MESTRE, R. (1998). Error-Correction Mechanism Tests for Cointegration in a Single-Equation Framework. Journal of Time Series Analysis, 19 (3), 267-283.

BAEK, J. (2016). Do Nuclear and Renewable Energy Improve the Environment? Empirical Evidence from the United States. Ecol. Indic. 66, 352-356.

BOLUK, G. & Mert, M. (2014). Fossil & Renewable Energy Consumption, GHGs (Greenhouse Gases) and Economic Growth: Evidence from A Panel of EU (European Union) Countries. Energy, 74, 439-446.

BOSWIJK, P., H. (1994). Testing for an Unstable Root in Conditional and Unconditional Error Correction Models. Journal of Econometrics, 63, 37–60.

BULUT, U., (2017). The Impacts of Non-renewable and renewable energy on CO2 Emissions in Turkey. Environmental Science and Pollution Research, 24, 15416-15426.

CAGLAR, A., E. & Mert M. (2017). The Environmental Kuznets Hypothesis and the Effect of Renewable Energy Consumption on Carbon Emissions in Turkey: Co-integration with Structural Breaks. Management and Economics: Journal of Celal Bayar University Faculty of Economics and Administrative Sciences, 24(1), 21-38.

CANBAY, S. (2019). Effects of Economic Growth and Renewable Energy Consumption on Environmental Pollution in Turkey. Journal of Finance, 176, 140-151.

CALISKAN, S, KARABACAK M & MECIK, O. (2017). Relation between Education Expenditure and Economic Growth in Turkish Economy: Bootstrap Toda-Yamamoto Causality Test Approach. Kocaeli University Journal of Social Sciences, (33), 45-56.

CHEN, YU-SHAN, SHYH-BAO L. & CHAO-TUNG, W. (2006). The Influence of Green Innovation Performance on Corporate Advantage in Taiwan. Journal of Business Ethics, 67 (4), 3313.

CHEN, W. & LEI, Y. (2018). The Impacts of Renewable Energy and Technological Innovation on Environment-Energy-Growth Nexus: New Evidence from a Panel Quantile Regression. Renewable Energy, 123, 1–14.

CHENG, C., REN, X., WANG, Z. & SHI, Y. (2018). The impacts of non-fossil energy, economic growth, energy consumption, and oil price on carbon intensity: Evidence from a panel quantile regression analysis of EU 28. Sustainability, 10, 4067.

CHENG C, REN X., WANG Z. & YAN C. (2019a). Heterogeneous impacts of renewable energy and environmental patents on CO2 emission evidence from the BRIICS. Science Total Environment, 668 (10), 1328-1338.

COBAN, O. & KILINC, N., S. (2016). Investigation of Energy Use of Environmental Impact. Marmara Cografya Journal, (33), 589-606.

DICKEY, D.A. & FULLER, W.A. (1979). Distrubition of the estimators for autogressive time series with unit root. Journal of the American Statistical Association, 74, 427-431.

DICKEY, D.A. & FULLER, W.A. (1981). Likilihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057-1072.

ETKB, (2018). http://www.eie.gov.tr/yenilenebilir/turkiye de_jeo.aspx. Date of Access: 12.04.2021.

EFRON, B. (1979). Bootstrap Methods: Another Look at the Jackknife. The Annals of Statistics, 7(1), 1-26.

ENGLE, R.F. & GRANGER, C.W.J. (1987). Co-integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55 (2), 251-276.

GODIL, D.I., YU, Z., SHARIF A., USMAN R. & KHAN, S.A.R. (2021). Investigate the Role of Technology Innovation and Renewable Energy in Reducing Transport Sector CO2 Emission in China: a path toward Sustainable Development. Sustainable Development, 1-14.

HACKER, R.S. & HATEMI-J, A. (2006). Tests for Causality between Integrated Variables Using Asymptotic and Bootstrap Distributions: Theory and Application. Applied Economics, 38, 1489- 1500.

IRANDOUST, M. (2016). The Renewable Energy-Growth Nexus with Carbon Emissions and Technological Innovation: Evidence from the Nordic Countries. Ecological Indicators, 69, 118–125.

INANÇLI S., AKI A. (2020). The Empirical Analysis of the Relationship Between Energy Imports and Renewable Energy in Turkey. Econder, 4(2), 551-565.

ISIK, N. & KILIC, E.C. (2014). The Relationship Between CO2 Emissions and Energy R&D Expenditures in the Transportation Sector. Journal of Sosyoekonomi, 22 (22), 321-346.

J., B. GENG, Q., JI & Y., FAN (2016). How Regional Natural Gas Markets Have Reacted to Oil Price Shocks Before and Since the Shale Gas Revolution: A Multi-Scale Perspective. Journal of Natural Gas Science and Engineering, 36, 734-746.

JOHANSEN, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12, 231-254.

KHATTAK, S.I., AHMAD, M., KHAN, Z.U. & KHAN, A. (2020). Exploring the Impact of Innovation, Renewable Energy Consumption, and Income on CO2 Emissions: New Evidence from the BRICS Economies. Environmental Science and Pollution Research, 27, 13866–13881.

LAU L.C, LEE K.T. & MOHAMED A.R. (2012). Global Warming Mitigation and Renewable Energy Policy Development from the Kyoto Protocol to the Copenhagen Accord—a comment. Renewable Sustainable Energy Review, 16: 5280–5284.

LEE, K.H. & MIN, B. (2015). Green R&D for Eco-Innovation and Its Impact on Carbon Emissions and Firm Performance. Journal of Cleanar Production, 108, 534–542.

LIN, B. & ZHU, J., (2019b). The Role of Renewable Energy Technological Innovation on Climate Change: Empirical Evidence from China. Science and Total Environment, 659, 1505–1512.

MENSAH, C.N., LONG, X., BOAMAH, K.B., BEDIAKO, I., A., DAUDA, L. & SALMAN, M. (2018). The effect of innovation on CO2 emissions of OCED countries from 1990 to 2014. Environ. Sci. Pollut. Res. 25, 29678-29698.

MENYAH, K. & WOLDE-RUFAEL, Y. (2010). CO2 Emissions, Nuclear Energy, Renewable Energy and Economic Growth in the US. Energy Policy, 38, 2911-2915.

ORGAN, I. & CIFTCI, T. (2013). Carbon Tax. Journal of Nigde University Faculty of Economics and Administrative Sciences, 6 (1), 81-95.

PATA, U.K. (2018). Renewable Energy Consumption, Urbanization, Financial Development, Income and CO2 Emissions in Turkey: Testing EKC Hypothesis with Structural Breaks. Journal of Cleaner Production, 187, 770–779.

PATA, U.K. (2018). Analysis of the Relationships Between Inflation, Savings and Economic Growth in Turkey with Symmetric and Asymmetric Causality Tests. Journal of Finance, 174, 92-111.

QAYYUM, M., ALI, M., NIZAMANI, M.M., LI, S., YU, Y. & JAHANGER, A. (2021). Nexus between Financial Development, Renewable Energy Consumption, Technological Innovations and CO 2 Emissions: The Case of India. Energies, 14, 4505.

SADORSKY, P. (2009). Renewable Energy Consumption and Income in Emerging Economies. Energy Policy, 37: 4021–4028.

SADORSKY, P. (2014). The Effect of Urbanization on CO2 Emissions in Emerging Economies. Energy Economics, 41 (1), 147–153.

TODA, H., Y. & YAMAMOTO, T. (1995). Statistical Inference in Vector Autoregressions with Possibly Integrated Processes. Journal of Economics, 66 (1-2), 225-250.

TOPAL, M., H. (2018). An Analysis of the Relationship Between Military Expenditures and Economic Growth in Turkey (1960-2016). Journal of Finance, 174, 175-202.

YAVUZ, N. (2011). Test of the Effect of Tourism Revenues on Economic Growth in Turkey: Structural Break and Causality Analysis. Dogus University Journal, 7 (2), 162-171.

YII K & GEETHA C. (2017). The Nexus Between Technology Innovation and CO2 Emissions in Malaysia : Evidence from Granger Causality Test. Energy Procedia, 105, 3118–3124.

YIGIT, S. (2014). The Environmental Face of Innovation and Turkey. Management and Economics: Journal of Celal Bayar University Faculty of Economics and Administrative Sciences, 21, 251-265.

Downloads

Published

2021-10-31

How to Cite

İnançlı, S., & Torusdağ, M. (2021). Analysis of the relationship between innovation, CO2 emission and renewable energy in Turkey . JOURNAL OF LIFE ECONOMICS, 8(4), 513–521. https://doi.org/10.15637/jlecon.8.4.10

Issue

Section

Research Articles