Speaker
Description
The Environmental Kuznets Curve (EKC) plays a key role in shaping policies that connect economic growth with environmental sustainability. It describes the relationship between economic development, that is commonly represented by income per capita, and environmental quality, often captured through per capita CO2 emissions.
When analyzed across a broad set of countries, the EKC typically reveals that these two factors increase together up to a certain turning point, after which pollution levels stabilize and eventually decline.
Following the “grow first, clean later” concept, here a dynamic longitudinal statistical model that separates the EKC into two components is proposed. These are:
1) an economic growth effect and
2) a green economy effect.
Both of which are allowed to evolve over time. The dynamic structure captures, for instance, improvements in production efficiency or the increasing availability and affordability of green technologies.
The novel statistical dynamic EKC decomposition model is here proposed and its properties discussed. Some Monte Carlo simulations are presented for the estimation of several formulations (linear or nonlinear) of the EKC components.
The model presented is also illustrated for a real dataset comprising over 30 countries that includes not only Belgium and all the EU countries, but also other countries in Europe such as the UK, Norway or Ukraine, and even other western-Asian or transcontinental countries like Kazakhstan, Turkey or Armenia. The empirical findings for a dataset that comprises observations for years 1990-2019 reveal that the EKC evolves over time significantly.
| If your abstract is not accepted for an oral presentation, would you be interested in presenting it as a poster instead? | No |
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| If accepted by the Scientific Board, I agree to have my presentation/poster and abstract published on the Belgian Climate Centre websites and social media. | Yes |
