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<b>Carbon and Water Footprints of Cotton Production in Punjab, Pakistan: Implications for Climate-Smart</b><b> </b><b>Agricultural Policy</b><b></b>

パキスタン・パンジャブ州の綿花生産における炭素と水のフットプリント：気候スマート農業政策への示唆 (AI 翻訳)

Muhammad Umar Farooq, Amnan Javaid, Abdul Mateen, Hafiz Muhammad Irfan

Journal of Agricultural Policy and Transformation📚 査読済 / ジャーナル2026-06-26#炭素会計経営インパクト: 調達リスク対象セクター: agriculture
DOI: 10.66529/agripat.2026.2.3.96
原典: https://doi.org/10.66529/agripat.2026.2.3.96
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🤖 gxceed AI 要約

日本語

パキスタン・パンジャブ州ヴェハリ地区の綿花農家200戸を対象に、炭素と水のフットプリントを評価。平均炭素フットプリントは613.2 kg CO₂-eq/エーカーで、電力、ディーゼル、尿素が全体の89%を占めた。農場規模と教育が炭素フットプリントに正の影響、収入は負の影響を与えることを回帰分析で確認。農場規模別の気候スマート農業政策の必要性を提言。

English

This study assesses carbon and water footprints of cotton production among 200 farm households in Vehari, Punjab, Pakistan. Average carbon footprint is 613.2 kg CO₂-eq per acre, with electricity, diesel, and urea accounting for 89% of emissions. Regression shows farm size and education positively affect carbon footprint, while income has a negative effect. Farm-size-specific climate-smart policy recommendations are provided.

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

📝 gxceed 編集解説 — Why this matters

日本のGX文脈において

本論文はパキスタンの綿花栽培に焦点を当てているが、日本でも農業分野のGX（スマート農業、水管理、エネルギーの効率化）に示唆を与える。特に、農場規模に応じた炭素・水フットプリントの違いは、日本の農業政策においても参考になる可能性がある。

In the global GX context

While focused on Pakistan, this study offers empirical evidence on carbon and water footprints that can inform supply-chain sustainability efforts globally. For cotton-importing countries like Japan, it underscores the importance of scope 3 accounting in textile supply chains, especially for procuring from regions with high resource intensity.

👥 読者別の含意

🔬研究者:Provides farm-size-specific carbon and water footprint data for cotton, useful for agricultural life-cycle assessment and policy modeling.

🏢実務担当者:Suppliers in textile industry can use the findings to identify emission hotspots (energy, fertilizers) in cotton cultivation and target interventions.

🏛政策担当者:Highlights need for differentiated policies based on farm size to promote climate-smart agriculture in water-stressed regions.

📄 Abstract（原文）

Cotton is a cornerstone of Pakistan’s agricultural economy and textile industry, yet its production contributes substantially to greenhouse gas emissions and water consumption. This study assessed the carbon footprint (CF), water footprint (WF), and water-use efficiency (WUE) of cotton production among 200 farm households in District Vehari, Punjab, categorized as small, medium, and large farms. Results showed an average carbon footprint of 613.2 kg CO₂-eq per acre, with electricity, diesel, and urea accounting for nearly 89% of total emissions. Significant differences in CF and WUE were observed across farm sizes, while the average water footprint of seed cotton (7.23 m³/kg) did not vary significantly. Regression analysis revealed that farm size and education positively influenced CF, whereas household income had a negative effect. The findings highlight the need for targeted interventions in irrigation management, energy use, input efficiency, and extension services. The study provides farm-size-specific evidence to support climate-smart cotton production and sustainable resource management in Pakistan.

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