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 Economy2025https://doi.org/10.1504/ijse.2025.145298article
ABDC C
Weight
0.37

What the paper says

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.

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https://doi.org/https://doi.org/10.1504/ijse.2025.145298

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@article{swati2025,
  title        = {{Nexus between agricultural production and environmental degradation based on the theory of environmental Kuznets curve: a dynamic panel data analysis}},
  author       = {Swati Sinha Babu},
  journal      = {International Journal of Sustainable Economy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijse.2025.145298},
}

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.