New evidence on the determinants of agri-food GHG emissions in low and middle-income countries

This study applies newly compiled FAO data to investigate the drivers of GHG emissions from the agri-food sector in 106 low- and middle-income countries over the 1993–2021 period. However, unlike the majority of previous studies, it investigates possible differences across different GHG, income levels, and continents using advanced econometric tools. The results for the full sample suggest that all potential explanatory variables except trade are positively correlated with agri-food GHG emissions. Nevertheless, there exist significant differences between continents and groups of countries with different income levels. For instance, population emerges as a significant determinant of agri-food emissions in Asia and Europe. The Gross Value of agricultural production per capita shows a consistent and significant positive effect on emissions in all specifications for Asia, while for other continents, its elasticity is lower and lacks statistical significance in some specifications. Furthermore, fertilizer intensity and livestock size are a strong driver of GHG emissions across all continents. Finally, the results of additional analyses show that there are substantial differences in the determinants of particular GHG types. Specifically, population and livestock size have a positive and statistically significant impact on both CH 4 and N 2 O emissions across all specifications. However, in the fixed-effects specifications, these variables have no significant impact on CO 2 . On the other hand, the ratio of forestland to total land has a positive and significant impact on CO 2 while the relationship with CH 4 and N 2 O is less clear. Consequently, this study provides a detailed picture of the determinants of emissions that could be used to tailor more efficient mitigation policies. • This study investigates the factors behind GHG emissions in the agri-food sector. • It applies the latest FAO data for 106 low and middle-income countries. • GHG determinants differ significantly between continents and groups of countries. • There are substantial differences in determinants of particular GHG types. • To address the emissions, country and gas-specific strategies should be applied.

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Publication Details

Journal
Environmental Impact Assessment Review
Published
2025-09-04
DOI
https://doi.org/10.1016/j.eiar.2025.108155
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
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article

New evidence on the determinants of agri-food GHG emissions in low and middle-income countries

Tasfaye Fayisa, Bartłomiej Rokicki
1 citations
Environmental Impact Assessment Review
Energy, Environment, Economic Growth
3.13
article

New evidence on the determinants of agri-food GHG emissions in low and middle-income countries

Tasfaye Fayisa, Bartłomiej Rokicki
article en
1 citations

Abstract

This study applies newly compiled FAO data to investigate the drivers of GHG emissions from the agri-food sector in 106 low- and middle-income countries over the 1993–2021 period. However, unlike the majority of previous studies, it investigates possible differences across different GHG, income levels, and continents using advanced econometric tools. The results for the full sample suggest that all potential explanatory variables except trade are positively correlated with agri-food GHG emissions. Nevertheless, there exist significant differences between continents and groups of countries with different income levels. For instance, population emerges as a significant determinant of agri-food emissions in Asia and Europe. The Gross Value of agricultural production per capita shows a consistent and significant positive effect on emissions in all specifications for Asia, while for other continents, its elasticity is lower and lacks statistical significance in some specifications. Furthermore, fertilizer intensity and livestock size are a strong driver of GHG emissions across all continents. Finally, the results of additional analyses show that there are substantial differences in the determinants of particular GHG types. Specifically, population and livestock size have a positive and statistically significant impact on both CH 4 and N 2 O emissions across all specifications. However, in the fixed-effects specifications, these variables have no significant impact on CO 2 . On the other hand, the ratio of forestland to total land has a positive and significant impact on CO 2 while the relationship with CH 4 and N 2 O is less clear. Consequently, this study provides a detailed picture of the determinants of emissions that could be used to tailor more efficient mitigation policies. • This study investigates the factors behind GHG emissions in the agri-food sector. • It applies the latest FAO data for 106 low and middle-income countries. • GHG determinants differ significantly between continents and groups of countries. • There are substantial differences in determinants of particular GHG types. • To address the emissions, country and gas-specific strategies should be applied.

Environmental Impact Assessment ReviewVol. 117
University of Warsaw (PL)
Openalex Percentile: Top 7%
Energy, Environment, Economic Growth
3.13
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