Renewable energy, technological innovation and the environment: A novel dynamic auto-regressive distributive lag simulation

Danish D., ULUCAK R.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, cilt.150, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 150
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.rser.2021.111433
  • Dergi Adı: RENEWABLE & SUSTAINABLE ENERGY REVIEWS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, CAB Abstracts, Communication Abstracts, Compendex, Greenfile, INSPEC, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Technological innovation, Carbon emission, Renewable energy, Dynamic auto-regressive distributive lag, GREENHOUSE-GAS EMISSIONS, CO2 EMISSIONS, CARBON EMISSIONS, ECONOMIC-GROWTH, EMPIRICAL-EVIDENCE, IMPACT, CONSUMPTION, CHINA, DECOMPOSITION, INVESTMENTS
  • Erciyes Üniversitesi Adresli: Evet

Özet

Promoting technology development co-operation is particularly relevant while addressing global climate change or regional pollution. Investors may contribute to increasing environmental-related patents, which may help to improve the quality of the environment as long as supported by proper regulations and policies. In the quest towards a cleaner environment via the mitigation of climate change, this study investigates the relationship between technological innovation, income level, renewable energy and carbon emissions in both the United States and China. Applying the dynamic auto-regressive distributive lag (DARDL) simulation method revealed varying impacts of regressors on CO2 emissions in the short-run and long-run. Accordingly, this study empirically confirms that (i) technological innovation reduces carbon emissions in the United States but it is not statistically significant in China. (ii) Renewable energy reduces carbon emissions in both countries. (iii) The impact of income level on emissions decreases from short-run to long-run in both countries. Decision-makers in China should stimulate more effective environmental-related innovations to decrease CO2 emissions and should permit easy access to environmental-related patents together with reducing its cost of registration.