Citation: Kazemzadeh, E.; Fuinhas,
J.A.; Koengkan, M.; Osmani, F. The
Heterogeneous Effect of Economic
Complexity and Export Quality on
the Ecological Footprint: A Two-Step
Club Convergence and Panel
Quantile Regression Approach.
Sustainability 2022, 14, 11153.
https://doi.org/10.3390/
su141811153
Academic Editor: Sajid Anwar
Received: 2 August 2022
Accepted: 1 September 2022
Published: 6 September 2022
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sustainability
Article
The Heterogeneous Effect of Economic Complexity and Export
Quality on the Ecological Footprint: A Two-Step Club
Convergence and Panel Quantile Regression Approach
Emad Kazemzadeh
1
, José Alberto Fuinhas
2,
* , Matheus Koengkan
3
and Fariba Osmani
1
1
Department of Economics, Faculty of Economics and Administrative Sciences, Ferdowsi University of
Mashhad, Mashhad 9177948974, Iran
2
Centre for Business and Economics Research (CeBER), Faculty of Economics, University of Coimbra,
3004-512 Coimbra, Portugal
3
Governance, Competitiveness and Public Policies (GOVCOPP), Department of Economics, Management,
Industrial Engineering and Tourism (DEGEIT), University of Aveiro, 3810-193 Aveiro, Portugal
* Correspondence: fuinhas@uc.pt
Abstract: This research aims to answer two fundamental questions of the present time: First, what
is the impact of the increasing complexity of economic structures and the production of complex
goods on the environment? Second, can increasing export quality lead to the improvement of the
environment? Given that the relationship of the ecological footprint and its determinants has been
revealed to be nonlinear, the use of the quantile approach is supported. This finding led us to
the central hypothesis of this research: economic complexity and export quality first deteriorate
the ecological footprint (i.e., in lower quantiles), and the middle and higher quantiles contribute
to reducing or mitigating environmental damage. The effect of economic complexity and export
quality on the ecological footprint was researched using a two-step approach. First, club convergence
was applied to identify the countries that follow a similar convergence path. After this, panel
quantile regression was used to determine the explanatory power of economic complexity and export
quality on the ecological footprint of 98 countries from 1990 to 2014. The club convergence revealed
four convergent groups. Panel quantile regression was used because the relationship between
the ecological footprint and its explanatory variables was shown to be nonlinear for the group of
countries identified by the club convergence approach. GDP, nonrenewable energy consumption,
and the population damage the environment. Urbanisation contributes to reducing the ecological
footprint. Export quality and trade openness reduce the ecological footprint, but not at all quantiles.
The effect of trade openness mitigating the ecological footprint is lost at the 90th quantile. Export
quality becomes a reducer of the ecological footprint in the 50th quantile or above, and in the higher
quantiles, its contribution to reducing the footprint is vast. Economic complexity aggravates the
ecological footprint in low quantiles (10th), becomes non-statistically significant in the 25th quantile,
and reduces the ecological footprint in higher quantiles. Policymakers must identify the impact of
the ecological footprint and consider the demand and supply side of economics.
Keywords: economic complexity; export quality; ecological footprint; club convergence; panel
quantile regression
1. Introduction
The motivation for this research was to assess if the generally desired evolution of
economies toward more complex ones and the improvement of their exports are helping to
mitigate the degradation of the environment (here measured as the ecological footprint).
Indeed, the most pertinent issue facing societies today is the compatibility of economic
growth with the maintenance of environmental quality. Environmental degradation caused
Sustainability 2022, 14, 11153. https://doi.org/10.3390/su141811153 https://www.mdpi.com/journal/sustainability