Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration
Salim Khan; Wang Yahong · 2021 · Frontiers in Environmental Science
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO 2 e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO 2 e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear
Abstract by Salim Khan; Wang Yahong, Frontiers in Environmental Science (2021) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.3389/fenvs.2021.666362