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Research Article

Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches

, ORCID Icon & ORCID Icon
Pages 263-276 | Received 11 Aug 2021, Accepted 07 Sep 2021, Published online: 18 Oct 2021
 

ABSTRACT

With 2.5 global hectares (gha) per capita against 2.7 gha per capita, China’s ecological footprint is desirably below the world’s average ecological footprint per capita. Undesirably, the country’s per person ecological footprint outweighs the world’s average biocapacity per person of 1.7 gha, thus signifying an enormous pressure on the country’s ecological capacity. This reason accounts for the motivation to explore the dynamics of ecological footprint for China over the period 1971–2016 by employing a series of empirical techniques that include quantile-on-quantile regression (QQR), spectral Granger causality (SGC), and quantile regression. Indicatively, the empirical findings are in folds. First, from the QQR, economic growth exerts a positive effect on (i) ecological footprint especially in the middle quantile (0.4–0.7) and (ii) all quantiles (0.01–0.95) of economic growth. Second, both fossil fuel and primary energy utilization exert a positive impact on (i) all quantiles (0.01–0.95) of ecological footprint and (ii) all quantiles (0.01–0.95) of the two energy profiles. Third, it is surprising to see renewable energy utilization exerting a positive effect on ecological footprint at the lower tail (0.1–0.40) and on renewable energy use at the higher tail (0.70–0.95). Additionally, the SGC result revealed Granger causality from primary energy use and economic growth to the ecological footprint in the long-run without reverse. Additionally, without reverse, there is a Granger causality from renewable energy use to the ecological footprint in the short-, medium-, and long-term. Importantly, the overall policy implication suggests a more drastic decoupling of the country’s growth from the supply side (ecological pressure and environmental deprivation).

Highlights

  • The study revealed the drivers of China’s ecology footprint.

  • Quantile-on-quantile regression and spectral Granger causality approaches were employed.

  • Economic growth exerts a positive effect in the middle quantile of ecological footprint.

  • China’s energy profile halts environmental sustainability in all quantiles.

  • At the lower quantiles of environmental sustainability, renewable energy utilization is hazardous.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1. According to the United Nation emission gas report (Citation2018), global GHG emission is still on the rising trend and this increase is predominantly energy use (fossil fuels) and industrial production (cement) related, but it also includes land-use change related emission. The world’s total GHG emissions level increased in the year 2017 despite the short success of holding emission level constant for about 3 years in the preceding years. The total emission level rose to a new record of 53.5 gigaton of carbon dioxide equivalent (GtCO2e). The leading emitters being China accounting for more than 27% of global emissions, while the US, the EU, and India account for 13%, 9%, and 7.1% of the total GHG emissions respectively. Emissions from these nations jointly represent over 56% of the world’s emissions in 2017 (UNEP Citation2018).