Does the frequency of stochastic convergence in per capita ecological footprint matter?

Yılancı V., Abbas S.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, cilt.2023, ss.1-13, 2023 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 2023
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s11356-023-26688-w
  • Dergi Adı: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace 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.1-13
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Evet

Özet

Among the environmental economics research issues, the issue of convergence has received quite a lot of attention, which

is also known as stationary analysis. In this research strand, whether shocks to the time series variable are permanent or

temporary is tested via the unit root tests. In this study, based on the theory and empirical works of stochastic convergence,

we evaluate the convergence for the BASIC member countries, including Brazil, South Africa, India, and China. We use a

variety of methodologies to see whether the convergence of ecological footprint holds for these countries or not. We first

use the wavelet decomposition technique to decompose the series into the short run, middle run, and long run, and then we

run several unit root tests to confirm the stationarity property of the series. The methodologies implemented in this study

allow us to apply econometric tests to the original series as well as to the decomposed series. The results of panel CIPS

test demonstrate that the null hypothesis of unit root could be rejected for the short run but not for the middle and long run,

implying that long-lasting impact might prevail due to any shocks to the ecological footprint in the middle and long run. The

results for individual countries varied.