Relationship between remittances and carbon emissions: An evidence of top five remittance-receiving countries

This study examines the environmental effects of remittances in the five largest remittance-receiving countries (India, Mexico, China, the Philippines, and Pakistan) using panel data from 1990 to 2022 sourced from the World Development Indicators. The study employed a quantitative and analytical research design. Remittances are a critical component of economic stability in these countries, yet their impact on carbon emissions and environmental sustainability remains underexplored. The study utilized a dynamic ordinary least squares (DOLS) method to analyze study variables. Unit root and cointegration tests were performed to assess long-run relationships. A dynamic ordinary least squares (DOLS) (pooled estimation) results revealed that GDP per capita and trade openness have significant positive influences on CO₂ emissions. On the contrary, urban population has significant negative influences on CO₂ emissions. In contrast, remittances show no notable effect on CO2 emissions. Furthermore, the results show significant long-run cointegration among the variables, with GDP per capita, trade openness, and urban population identified as major drivers of CO2 emissions. These findings indicate that economic growth, trade liberalization, and demographic expansion are key drivers of environmental degradation, while the direct environmental impact of remittances appears minimal. The study recommends policymakers prioritize environmentally sustainable investments to align remittance-driven economic growth with global climate goals.

Authors

Institutions

Publication Details

Journal
Environmental Economics
Published
2025-02-26
DOI
https://doi.org/10.21511/ee.16(1).2025.05
Citations
3
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
9.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between remittances and carbon emissions: An evidence of top five remittance-receiving countries

Bishnu Bahadur Khatri, Pradeep Acharya, Tirtha Raj Timsina, Khila Nath Sapkota
3 citations
Environmental Economics
Energy, Environment, Economic Growth
9.39
article

Relationship between remittances and carbon emissions: An evidence of top five remittance-receiving countries

Bishnu Bahadur Khatri, Pradeep Acharya, Tirtha Raj Timsina, Khila Nath Sapkota
article en
3 citations

Abstract

This study examines the environmental effects of remittances in the five largest remittance-receiving countries (India, Mexico, China, the Philippines, and Pakistan) using panel data from 1990 to 2022 sourced from the World Development Indicators. The study employed a quantitative and analytical research design. Remittances are a critical component of economic stability in these countries, yet their impact on carbon emissions and environmental sustainability remains underexplored. The study utilized a dynamic ordinary least squares (DOLS) method to analyze study variables. Unit root and cointegration tests were performed to assess long-run relationships. A dynamic ordinary least squares (DOLS) (pooled estimation) results revealed that GDP per capita and trade openness have significant positive influences on CO₂ emissions. On the contrary, urban population has significant negative influences on CO₂ emissions. In contrast, remittances show no notable effect on CO2 emissions. Furthermore, the results show significant long-run cointegration among the variables, with GDP per capita, trade openness, and urban population identified as major drivers of CO2 emissions. These findings indicate that economic growth, trade liberalization, and demographic expansion are key drivers of environmental degradation, while the direct environmental impact of remittances appears minimal. The study recommends policymakers prioritize environmentally sustainable investments to align remittance-driven economic growth with global climate goals.

Environmental EconomicsVol. 16(1)
Tribhuvan University (NP)
Openalex Percentile: Top 3%
Energy, Environment, Economic Growth
9.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.