Impact of renewable energy investments in curbing sectoral CO2 emissions: evidence from China by nonlinear quantile approaches

Kartal M. T., ERDOĞAN S., Alola A. A., PATA U. K.

Environmental Science and Pollution Research, cilt.30, sa.52, ss.112673-112685, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 30 Sayı: 52
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11356-023-30282-5
  • Dergi Adı: Environmental Science and Pollution Research
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.112673-112685
  • Anahtar Kelimeler: China, Nonlinear quantile approaches, Renewable energy investments, Sectoral CO2 emissions
  • Hatay Mustafa Kemal Üniversitesi Adresli: Evet

Özet

The study analyzes the impact of renewable energy investments (RENIV) on the environment in China. In doing so, the study uses sectoral carbon dioxide (CO2) emissions as the environment indicator, considers RENIV as the explanatory variable, includes monthly data from 2004/1 to 2020/6, runs quantile on quantile regression approach as the fundamental model, and further performs quantile regression for the controlling. The study reveals that RENIV curb CO2 emissions in all sectors at higher levels of sectoral CO2 emissions. Also, RENIV have a varying impact based on quantiles and sectors. Moreover, the results are robust based on the alternative approach. Thus, RENIV have a significantly decreasing impact on sectoral CO2 emissions in China. Accordingly, China policymakers should continue to focus on providing a decrease in energy and industrial sector CO2 emissions as the highest emitting sectors.