Investigating the EKC hypothesis with renewable energy consumption, human capital, globalization and trade openness for China: Evidence from augmented ARDL approach with a structural break

Pata U. K., Caglar A. E.

ENERGY, cilt.216, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 216
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.energy.2020.119220
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Computer & Applied Sciences, Environment Index, INSPEC, Metadex, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Augmented ARDL approach, CO2 emissions, Ecological footprint, EKC, Human capital, Renewable energy consumption, ENVIRONMENTAL KUZNETS CURVE, OIL-PRICE SHOCK, ECONOMIC-GROWTH, CO2 EMISSIONS, CARBON EMISSIONS, FINANCIAL DEVELOPMENT, BOOTSTRAP ARDL, NATURAL-GAS, GREAT CRASH, PANEL
  • Atatürk Üniversitesi Adresli: Hayır

Özet

China is the most polluted country in the world, facing the challenges of increased CO2 emissions and its ecological footprint. In order for China to achieve sustainable growth, it must identify factors that reduce environmental pollution and take essential measures before it is too late. To this end, this study empirically examines the ecological outcomes of income, human capital, globalization, renewable energy consumption, and trade openness for China within the framework of the environmental Kuznets curve (EKC) hypothesis. The paper employs the recently developed augmented ARDL approach in the presence of one structural break to investigate annual time series data during the period 1980-2016. The findings reveal that the EKC hypothesis does not hold for China, and a U-shaped quadratic relationship between environmental pollution and income level has been determined for both CO2 emissions and ecological footprint. The results also suggest that globalization, trade openness, and income drive environmental pollution while increasing human capital reduces the ecological footprint in the long-term. No effects were found for renewable energy consumption. The study highlights that human capital plays a key role in reducing environmental degradation in China, while renewable energy is not sufficient to meet environmental requirements. (C) 2020 Elsevier Ltd. All rights reserved.