Abstract
Bangladesh observed an unprecedented growth in gross domestic product (GDP) and foreign direct investments (FDI) over the last decade. However, the country also observed an annual average increase in greenhouse gas emissions (GHGs) by 3.3% between 2000 and 2016. Therefore, this study aims to understand the dynamic relationship among GDP, FDI and GHGs, and investigate the existence of the Environmental Kuznets Curve (EKC) so that appropriate policy options could be taken to reduce emissions while sustaining economic growth. This study adopted the Vector Error Correction Model (VECM) and Granger Causality tests to achieve the objectives. Results suggest the EKC hypothesis to be positive for the nation. The causality test negates short- and long-run causality from energy consumption per capita (ECPC), GDP per capita (GDPPC), and FDI to GHGs at a significance level of 0.05. However, a bi-directional causality is running from ECPC to FDI and GDP per capita in the short-run. By scholarly contributing to the debate between development and GHGs, this study attempts to bridge-up the current gap in the literature, i.e., scientific investigation of the EKC hypothesis and the effects of FDI on energy consumption and GHGs in Bangladesh.
| Original language | English |
|---|---|
| Pages (from-to) | 6327-6348 |
| Number of pages | 22 |
| Journal | Environment, Development and Sustainability |
| Volume | 24 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2022 |
Bibliographical note
Publisher Copyright:© 2021, The Author(s), under exclusive licence to Springer Nature B.V.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 10 Reduced Inequalities
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- EKC hypothesis
- Energy consumption
- Foreign direct investment
- GDP growth
- Greenhouse gas emissions
ASJC Scopus subject areas
- Geography, Planning and Development
- Economics and Econometrics
- Management, Monitoring, Policy and Law
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