Abstract
This research aims to analyse comparative environmental Kuznet Curve (EKC) testing before and during the implementation of Sustainable Development Goals (SDGS). Our study uses a quantitative approach. The sampling technique used is purposive sampling, involving countries that are included in the categories of 10 high, upper middle and lower middle-income countries on the Asian continent during the 2011-2020 period. The data analysis method used is panel data regression analysis by combining cross section and time series data in order to analyse the variables Gross Domestic Product, Population Density, Foreign Direct Investment, Human Development Index, Agricultural Land, and Industrialization and their influence on CO2 emissions in the countries studied.
| Original language | English |
|---|---|
| Article number | 8623 |
| Pages (from-to) | 149-170 |
| Number of pages | 22 |
| Journal | Visions for Sustainability |
| Volume | 2024 |
| Issue number | 21 |
| DOIs | |
| Publication status | Published - 21 Jun 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 13 Climate Action
-
SDG 17 Partnerships for the Goals
Keywords
- Environmental Kuznet Curve (EKC)
- Sustainable Development Goals (SDGS)
- high-income countries
- lower middle-income countries
- upper middle-income countries
Fingerprint
Dive into the research topics of 'Comparison of environmental Kuznet Curve testing before and during the implementation of Sustainable Development Goals'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver