Nexus between agricultural production and environmental degradation based on the theory of environmental Kuznets curve: a dynamic panel data analysis

Expansion and proliferation of agricultural sector plays a vital role in achieving the sustainable development goals related to ending poverty and hunger. However, its impact on the environment is not free from contention. The aim of present paper is to explore the association between agricultural production and methane emissions (as measure of environmental degradation), across 87 countries classified into higher, middle and lower income groups, covering the period 1990-2020. We have employed dynamic system generalisation method of moment (GMM) to investigate the environmental Kuznets curve hypothesis and study the long-run causal effects among considered variables. Results indicated presence of N-shaped relation between agricultural production and methane emissions for all groups of countries. Findings also revealed that fertiliser consumption and livestock production had detrimental impact on environment. Lastly, policy recommendations have been made related to agricultural production techniques and livestock management strategies that might help development of sustainable agriculture.

Authors

Institutions

Publication Details

Journal
International Journal of Sustainable Economy
Published
2025-01-01
DOI
https://doi.org/10.1504/ijse.2025.145298
Citations
1
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
3.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nexus between agricultural production and environmental degradation based on the theory of environmental Kuznets curve: a dynamic panel data analysis

Swati Sinha Babu
1 citations
International Journal of Sustainable Economy
Energy, Environment, Economic Growth
3.13
article

Nexus between agricultural production and environmental degradation based on the theory of environmental Kuznets curve: a dynamic panel data analysis

Swati Sinha Babu
article en
1 citations

Abstract

Expansion and proliferation of agricultural sector plays a vital role in achieving the sustainable development goals related to ending poverty and hunger. However, its impact on the environment is not free from contention. The aim of present paper is to explore the association between agricultural production and methane emissions (as measure of environmental degradation), across 87 countries classified into higher, middle and lower income groups, covering the period 1990-2020. We have employed dynamic system generalisation method of moment (GMM) to investigate the environmental Kuznets curve hypothesis and study the long-run causal effects among considered variables. Results indicated presence of N-shaped relation between agricultural production and methane emissions for all groups of countries. Findings also revealed that fertiliser consumption and livestock production had detrimental impact on environment. Lastly, policy recommendations have been made related to agricultural production techniques and livestock management strategies that might help development of sustainable agriculture.

International Journal of Sustainable EconomyVol. 17(2)
Sidho-Kanho-Birsha University (IN)
Zero hunger
Openalex Percentile: Top 9%
Energy, Environment, Economic Growth
3.13
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.

Nexus between agricultural production and environmental degradation based on the theory of environmental Kuznets curve: a dynamic panel data analysis — Swati Sinha Babu · International Journal of Sustainable Economy (2025) | TGRS Research Map | TGRS