ArticleEnvironmental science and pollution research international2020
Analysis on the nexus amid CO
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
17 citing papers in PubMed.
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- Why are some countries cleaner than others? New evidence from macroeconomic governance.Environment, development and sustainability · 2023Article
- Energy intensity determinants based on structure-oriented cointegration by embedding a knowledge box in a time series model: evidence from Iran.Environmental science and pollution research international · 2022Article
- Role of financial development, environmental-related technologies, research and development, energy intensity, natural resource depletion, and temperature in sustainable environment in Canada.Environmental science and pollution research international · 2022Article
- The heterogeneous effects of urbanisation and institutional quality on greenhouse gas emissions in Belt and Road Initiative countries.Environmental science and pollution research international · 2022Article
- What is the relationship between government response and COVID-19 pandemics? Global evidence of 118 countries.Structural change and economic dynamics · 2021Article
- Obesity Kuznets curve hypothesis and global warming: a robust estimation under cross-section dependence.Environmental science and pollution research international · 2021Article
- What initiates carbon dioxide emissions along the Belt and Road Initiative? An insight from a dynamic heterogeneous panel data analysis based on incarnated carbon panel.Environmental science and pollution research international · 2021Article
- Exploring the relationship between economic growth, energy consumption, urbanization, trade, and COEnvironmental science and pollution research international · 2021Article
- An asymmetrical analysis to explore the dynamic impacts of COEnvironmental science and pollution research international · 2021Article
- Investigation on the main contributors of economic growth in a dynamic heterogeneous panel data (DHPD) in Africa: evidence from their income classification.Environmental science and pollution research international · 2021Article
- Article
- Influence of tourism, governance, and foreign direct investment on energy consumption and COEnvironmental science and pollution research international · 2021Article
- Dynamic connection between inward foreign direct investment, renewable energy, economic growth and carbon emission in China: evidence from partial and multiple wavelet coherence.Environmental science and pollution research international · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This study determines the relationship between economic growth, foreign direct investment, energy intensity, and carbon dioxide emissions along the Belt and Road initiative considering their income classification. The study employs data from 1995 to 2015, the panel unit root test, Westerlund cointegration test, augmented mean group estimation, and the Dumitrescu-Hurlin Granger causality test. The empirical results indicate that (1) the data from all income group had cross-sectional association; (2) the variables are integrated of order 1 after first difference; (3) The variables under discussion were cointegrated; (4) at 1% increase in energy consumption, carbon dioxide emissions increased by 0.8606%, 0.9082%, 0.91815%, and 0.8043% in high-, upper-middle-, lower-middle-, and low-income countries, respectively; (5) a bidirectional causal relationship was found between foreign direct investment and carbon dioxide across all income groups. Energy intensity has a bidirectional association with carbon dioxide in low-, upper-middle-, and high-income countries but one-way association in lower-middle-income countries. These recent methodologies take cross-sectional dependence into account in their estimation and findings show that the causal affiliations together with long-run estimated effects amid employed variables are influenced by the different income levels of Belt and Road countries in a tender to reduce carbon dioxide emissions. The empirical results point to some important policy implications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.