Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia
This article investigates the relationship between economic growth in cattle farming and environmental degradation through the lens of the Environmental Kuznets Curve (EKC) for Latin America, Africa, and Southeast Asia between 2000 and 2020. The study tests whether the EKC model, which suggests an i...
| Autores principales: | , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Nature Portfolio
2025
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| Acceso en línea: | https://hdl.handle.net/10568/177043 |
| _version_ | 1855524040688533504 |
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| author | Burkart, Stefan Mejía, Daniela Junca, John Jairo |
| author_browse | Burkart, Stefan Junca, John Jairo Mejía, Daniela |
| author_facet | Burkart, Stefan Mejía, Daniela Junca, John Jairo |
| author_sort | Burkart, Stefan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This article investigates the relationship between economic growth in cattle farming and environmental degradation through the lens of the Environmental Kuznets Curve (EKC) for Latin America, Africa, and Southeast Asia between 2000 and 2020. The study tests whether the EKC model, which suggests an inverted U-shape between economic growth and environmental degradation, holds true for the cattle sector. Using panel data models and various environmental proxies, including sector-specific emissions (CO2eq) and ecological footprints, the study explores how economic growth in cattle farming correlates with environmental impacts. The results indicate that while there is a positive correlation between economic growth and emissions, the expected inflection point where emissions begin to decrease has not yet been reached. Institutional efforts and socio-cultural factors, such as governance quality and energy efficiency, are found to play crucial roles in accelerating the transition to cleaner cattle farming practices. This research contributes to the broader understanding of sustainable agricultural practices in developing regions. |
| format | Journal Article |
| id | CGSpace177043 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Nature Portfolio |
| publisherStr | Nature Portfolio |
| record_format | dspace |
| spelling | CGSpace1770432025-11-11T18:47:52Z Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia Burkart, Stefan Mejía, Daniela Junca, John Jairo evaluation greenhouse gas emissions farming systems research livestock farms sistema pecuario environmental degradation degradación ambiental emisión de gases de efecto invernadero economic growth rate tasa de crecimiento económico investigación sobre sistemas de producción agrícola This article investigates the relationship between economic growth in cattle farming and environmental degradation through the lens of the Environmental Kuznets Curve (EKC) for Latin America, Africa, and Southeast Asia between 2000 and 2020. The study tests whether the EKC model, which suggests an inverted U-shape between economic growth and environmental degradation, holds true for the cattle sector. Using panel data models and various environmental proxies, including sector-specific emissions (CO2eq) and ecological footprints, the study explores how economic growth in cattle farming correlates with environmental impacts. The results indicate that while there is a positive correlation between economic growth and emissions, the expected inflection point where emissions begin to decrease has not yet been reached. Institutional efforts and socio-cultural factors, such as governance quality and energy efficiency, are found to play crucial roles in accelerating the transition to cleaner cattle farming practices. This research contributes to the broader understanding of sustainable agricultural practices in developing regions. 2025-09-29 2025-10-14T07:57:49Z 2025-10-14T07:57:49Z Journal Article https://hdl.handle.net/10568/177043 en Open Access application/pdf Nature Portfolio Burkart, S.; Mejía, D.; Junca, J.J. (2025) Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia. Scientific Reports 15(1): 33613 . ISSN: 2045-2322 |
| spellingShingle | evaluation greenhouse gas emissions farming systems research livestock farms sistema pecuario environmental degradation degradación ambiental emisión de gases de efecto invernadero economic growth rate tasa de crecimiento económico investigación sobre sistemas de producción agrícola Burkart, Stefan Mejía, Daniela Junca, John Jairo Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title | Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title_full | Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title_fullStr | Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title_full_unstemmed | Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title_short | Estimating the environmental Kuznets curve for cattle production and environmental degradation in Latin America, Africa, and Southeast Asia |
| title_sort | estimating the environmental kuznets curve for cattle production and environmental degradation in latin america africa and southeast asia |
| topic | evaluation greenhouse gas emissions farming systems research livestock farms sistema pecuario environmental degradation degradación ambiental emisión de gases de efecto invernadero economic growth rate tasa de crecimiento económico investigación sobre sistemas de producción agrícola |
| url | https://hdl.handle.net/10568/177043 |
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