Journals / Alanya Akademik Bakış / 2021 / Cilt: 5 - Sayı: 2

The Effect of R&D and Innovation on Renewable Energy Production: Panel Data Analysis

Ar-Ge ve İnovasyonun Yenilenebilir Enerji Üretimi Üzerindeki Etkisi: Panel Veri Analizi

Pages
1087–1105
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to Emirmahmutoğlu and Köse (2011) causality test, countries with causality from energy R&D expenditures to renewable energy generation; Australia, France, Hungary, Japan, South Korea, Norway, Portugal, Spain and the USA, while the countries with causality from patent applications to renewable energy generation are Austria, Finland, France, Germany, Ireland, Netherlands, Norway, Slovakia, Sweden and Switzerland.

📌 3 Key Takeaways

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Objective & Hypothesis:It is necessary to increase the production of renewable energy sources such as solar, wind, geothermal, hydroelectric, and biomass and to expand their usage areas in order to reduce the negative effects of factors that cause deep damage to the environment such as global climate change and greenhouse gas emissions.
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Key Findings & Data:In this process, R&D activities and innovation efforts; it contributes significantly to renewable energy production by reducing production and capital costs, providing technological knowledge development, increasing efficiency and performance.
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Conclusion & Impact:According to Emirmahmutoğlu and Köse (2011) causality test, countries with causality from energy R&D expenditures to renewable energy generation; Australia, France, Hungary, Japan, South Korea, Norway, Portugal, Spain and the USA, while the countries with causality from patent applications to renewable energy generation are Austria, Finland, France, Germany, Ireland, Netherlands, Norway, Slovakia, Sweden and Switzerland.
🔬Design:Research Article
📍Scope:2003-2019 Verileri
⚙️Variables:Domain Parameters

Abstract

It is necessary to increase the production of renewable energy sources such as solar, wind, geothermal, hydroelectric, and biomass and to expand their usage areas in order to reduce the negative effects of factors that cause deep damage to the environment such as global climate change and greenhouse gas emissions. In this process, R&D activities and innovation efforts; it contributes significantly to renewable energy production by reducing production and capital costs, providing technological knowledge development, increasing efficiency and performance. This study provides empirical evidence for the effects of energy R&D expenditures and innovation on renewable energy generation in selected countries for the period 2003-2019. Panel data methods (Panel ARDL and Emirmahmutoğlu & Köse, 2011 causality test) are used in this study while investigating the relationship between renewable energy production and innovation and energy R&D expenditures. The empirical findings obtained from the Panel ARDL method have shown that a 1% increase in energy R&D and demonstration expenditures and the number of patent applications, which is an indicator of innovation, will increase renewable energy generation by 0.23% and 0.42%, respectively. According to Emirmahmutoğlu and Köse (2011) causality test, countries with causality from energy R&D expenditures to renewable energy generation; Australia, France, Hungary, Japan, South Korea, Norway, Portugal, Spain and the USA, while the countries with causality from patent applications to renewable energy generation are Austria, Finland, France, Germany, Ireland, Netherlands, Norway, Slovakia, Sweden and Switzerland.

Özet

Küresel iklim değişimi ve sera gazı salınımları gibi çevre üzerinde derin tahribata yol açan etkenlerin olumsuz etkilerinin azaltılabilmesi için güneş, rüzgâr, jeotermal, hidroelektrik, biyokütle gibi yenilenebilir enerji kaynaklarının üretiminin artırılması ve kullanım alanlarının yaygınlaştırılması gerekmektedir. Bu süreçte Ar-Ge faaliyetleri ile inovasyon çabaları; üretim ve sermaye maliyetlerini düşürerek, teknolojik bilgi gelişimini sağlayarak, verimliliği ve performansı artırarak yenilenebilir enerji üretimine önemli katkılar vermektedir. Bu çalışma, seçilmiş ülkelerde, 2003-2019 dönemi kapsamında enerji Ar-Ge harcamalarının ve inovasyonun yenilenebilir enerji üretimi üzerindeki etkilerine yönelik ampirik kanıtlar ortaya koymaktadır. Yenilenebilir enerji üretimi ile inovasyon ve enerji Ar-Ge harcamaları ilişkisini araştırırken bu çalışmada panel veri yöntemleri (Panel ARDL ve Emirmahmutoğlu ve Köse, 2011 nedensellik testi) kullanılmaktadır. Panel ARDL yönteminden elde edilen ampirik bulgular, uzun dönemde Ar-Ge ve demonstrasyon harcamaları ile inovasyonun göstergesi olan patent başvuru sayısında meydana gelecek %1’lik bir artışın yenilenebilir enerji üretimini sırasıyla %0.23 ve %0.42 oranlarında artıracağını göstermiştir. Emirmahmutoğlu ve Köse (2011) nedensellik testine göre, enerji Ar-Ge harcamalarından yenilenebilir enerji üretimine doğru nedenselliğin olduğu ülkeler; Avusturalya, Fransa, Macaristan, Japonya, Güney Kore, Norveç, Portekiz, İspanya ve ABD iken, patent başvurularından yenilenebilir enerji üretimine doğru nedenselliğin olduğu ülkeler ise Avusturya, Finlandiya, Fransa, Almanya, İrlanda, Hollanda, Norveç, Slovakya, İsveç ve İsviçre’dir.

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Cite This Article

KILINÇ, E. C., KILINÇ, N. Ş. (2022). The Effect of R&D and Innovation on Renewable Energy Production: Panel Data Analysis. Alanya Akademik Bakış, Cilt: 5 - Sayı: 2, 1087–1105. https://ajindex.com/articles/434743

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References (12)

  1. ADEDOYIN, F. F., BEKUN, F. V., & ALOLA, A. A. (2020). “Growth Impact of Transition from non-Renewable to Renewable Energy in the EU: the Role of Research And Development Expenditure”. Renewable Energy, 159: 1139-1145.
  2. AGUIRRE, M., & IBIKUNLE, G. (2014). “Determinants of Renewable Energy Growth: A Global Sample Analysis”. Energy Policy, 69: 374-384.
  3. ALSALEH, M., & ABDUL-RAHIM, A. S. (2019). “Financial Development and Bioenergy Consumption in the EU28 Region: Evidence from Panel Auto-Regressive Distributed Lag Bound Approach”. Resources, 8(1): 44. ASTERIOU, D., PILBEAM, K., & PRATIWI, C. E. (2020). “Public Debt and Economic Growth: Panel Data Evidence for Asian Countries”. Journal of Economics and Finance: 1-18.
  4. BALTAGI, B., (2005). “Econometrics of Panel Data”, John Wiley & Sons Ltd. AYARI, N., BLAZSEK, S., & MENDI, P. (2011). “Renewable Energy Innovations in Europe: A Dynamic Panel Data Approach”. Applied Economics, 44(24): 3135-3147.
  5. BAMATI, N., & RAOOFI, A. (2020). “Development Level and the Impact of Technological Factor on Renewable Energy Production”. Renewable Energy, 151: 946-955.
  6. BAYER, P., DOLAN, L., & URPELAINEN, J. (2013). “Global Patterns of Renewable Energy Innovation, 1990–2009”. Energy for Sustainable Development, 17(3): 288- 295. BOINTNER, R. (2014). “Innovation in the Energy Sector: Lessons Learnt from R&D Expenditures and Patents in Selected IEA Countries”. Energy Policy, 73: 733-747.
  7. BP (2020), “Statistical Review of World Energy June 2020”, https://www.bp.com/en/global/corporate/energy-economics/statistical-review-ofworld-energy.html, 25.12.2020.
  8. COSTELLO, K. (2016). “A Primer on R&D in the Energy Utility Sector”. Energy and Environment National Regulatory Research Institute, Report No. 16-05.
  9. EMİRMAHMUTOĞLU, F., & KÖSE, N. (2011). “Testing for Granger Causality In Heterogeneous Mixed Panels”, Economic Modelling, 28: 870-876.
  10. ELIA, A., KAMIDELIVAND, M., ROGAN, F., & GALLACHÓIR, B. Ó. (2020). “Impacts of Innovation on Renewable Energy Technology Cost Reductions”. Renewable and Sustainable Energy Reviews, 110488. EMODI, N. V., SHAGDARSUREN, G., & TIKY, A. Y. (2015). “Influencing Factors Promoting Technological Innovation in Renewable Energy”. International Journal of Energy Economics and Policy, 5(3). EUROSTAT (2021), Renewable Energy Statistics- Statistics Explained (europa.eu), 10.01.2021.
  11. GAN, J., & SMITH, C. T. (2011). “Drivers for Renewable Energy: A Comparison among OECD Countries”. Biomass and Bioenergy, 35(11): 4497-4503.
  12. GENG, J.