The Impact of Environmental Degradation on Agricultural Crop Productivity: The Case of Pakistan With Simulated <scp>ARDL</scp> Approach

Environmental degradation is a cross-cutting issue that significantly hampers the productivity of the agriculture sector in Pakistan. The objective of this study is to investigate the impact of environmental degradation on agricultural productivity in Pakistan from 1973 to 2021. The study employed the Novel Dynamic Simulated Autoregressive Distributed Lag (NDS-ARDL) estimator as a data analysis technique to gauge the impact of environmental degradation (measured by CO<sub>2</sub>) and other variables, including agricultural credit, quality seeds, fertilizers, and the availability of irrigation water, on agricultural productivity. The major finding of this study shows that the impact of CO<sub>2</sub> on crop productivity is negative but insignificant in both the short and long run. However, water availability, quality of seeds used, credit used for agriculture, and fertilizer use have a positive and significant impact in both the long and short run. Productivity improves with increased credit disbursement, quality seeds, and irrigation water. Based on these findings, policymakers should prioritize ensuring the stable and reliable availability of irrigation water supplies, promoting certified high-quality seeds, expanding access to agricultural credits, discouraging ineffective land expansion, and planning for better land use to avoid the overuse of marginal lands, thereby enhancing crop productivity in Pakistan.

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Publication Details

Journal
Food Science & Nutrition
Published
2025-09-01
DOI
https://doi.org/10.1002/fsn3.70876
Primary Topic
Energy, Environment, Economic Growth
Type
article
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article

The Impact of Environmental Degradation on Agricultural Crop Productivity: The Case of Pakistan With Simulated ARDL Approach

Yan Yunxian, Arshad Ullah Jadoon, Gizachew Wosene, Desalegn Wondim et al.
Food Science & Nutrition
Energy, Environment, Economic Growth
article

The Impact of Environmental Degradation on Agricultural Crop Productivity: The Case of Pakistan With Simulated ARDL Approach

Yan Yunxian, Arshad Ullah Jadoon, Gizachew Wosene, Desalegn Wondim, Zixiang Zhao
article en

Abstract

Environmental degradation is a cross-cutting issue that significantly hampers the productivity of the agriculture sector in Pakistan. The objective of this study is to investigate the impact of environmental degradation on agricultural productivity in Pakistan from 1973 to 2021. The study employed the Novel Dynamic Simulated Autoregressive Distributed Lag (NDS-ARDL) estimator as a data analysis technique to gauge the impact of environmental degradation (measured by CO<sub>2</sub>) and other variables, including agricultural credit, quality seeds, fertilizers, and the availability of irrigation water, on agricultural productivity. The major finding of this study shows that the impact of CO<sub>2</sub> on crop productivity is negative but insignificant in both the short and long run. However, water availability, quality of seeds used, credit used for agriculture, and fertilizer use have a positive and significant impact in both the long and short run. Productivity improves with increased credit disbursement, quality seeds, and irrigation water. Based on these findings, policymakers should prioritize ensuring the stable and reliable availability of irrigation water supplies, promoting certified high-quality seeds, expanding access to agricultural credits, discouraging ineffective land expansion, and planning for better land use to avoid the overuse of marginal lands, thereby enhancing crop productivity in Pakistan.

Food Science & NutritionVol. 13(9)
Jilin University of Finance and Economics (CN), Jilin University (CN), Jilin Province Science and Technology Department (CN), Jilin Agricultural University (CN)
Openalex Percentile: Top 68%
Energy, Environment, Economic Growth
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The Impact of Environmental Degradation on Agricultural Crop Productivity: The Case of Pakistan With Simulated <scp>ARDL</scp> Approach — Yan Yunxian, Arshad Ullah Jadoon, et al. · Food Science & Nutrition (2025) | TGRS Research Map | TGRS