単一の実践を超えて：統合された気候適応と集団行動の相乗効果プレミアム
Beyond the single practice: the synergistic premium of integrated climate adaptation and collective action (原題)
Cuthbert William Mushi
🤖 gxceed AI 要約
日本語
本研究はタンザニアのパネルデータを用い、複数の気候適応技術（CATs）の採用がトウモロコシ生産性と貧困削減に与える影響を分析。協同組合への参加が効果を増幅し、貧困確率を22%ポイント削減、一人当たり消費支出を273.61ドル増加させることを示した。政策への示唆を提供。
English
Using Tanzanian panel data, this study shows that adopting multiple climate adaptation technologies (CATs) improves maize yields and reduces poverty, with cooperative membership amplifying benefits. Joint adoption cuts poverty probability by 22 percentage points and raises per capita consumption by USD 273.61, highlighting the need for integrated adaptation and institutional support.
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
日本では農業分野の気候適応策や地域協同組合の役割が注目されており、本研究成果は日本の農業コミュニティや政策立案者にとって参考になる。ただし、直接的なGX規制や開示要件とは関連が薄い。
In the global GX context
This study contributes to global climate adaptation literature by quantifying the synergistic benefits of combining adaptation practices and collective action, offering evidence for policies supporting resilient agriculture in developing regions.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the synergistic effects of multiple adaptation strategies and cooperative membership, useful for climate adaptation research.
🏢実務担当者:Highlights the value of cooperative membership and integrated adaptation practices for agricultural resilience, relevant for development organizations.
🏛政策担当者:Offers data-driven insights for designing policies that promote comprehensive climate adaptation and institutional support in vulnerable regions.
📄 Abstract（原文）
Climate change severely risks smallholder farmers’ livelihoods in Africa, threatening food security and rural resilience. The study shows that using multiple climate adaptation technologies benefits maize production, income, and poverty reduction, with village cooperatives significantly enhancing this effect. The study utilises a unique three-wave panel data set from the Tanzania National Panel Survey (2008/09, 2010/11, 2012/13). To address selection bias and unobserved heterogeneity, multinomial endogenous switching regressions (MESR) were used along with a panel data estimator employing pooled ordinary least squares (POLS) and selection models based on the Mundlak framework. The combined methodological approach is specifically employed to address unbalanced panel structures and to fully capture both observed and unobserved heterogeneity. My findings reveal that the adoption of CATs significantly improves maize yield and per capita consumption, with synergistic effects observed when climate resilience strategies (i.e. improved maize varieties, irrigation) are combined with sustainable practices (i.e. maize rotation, fertilizer use). This joint adoption of multiple CATs yields the largest welfare gains, reducing the probability of poverty by 22 percentage points and increasing per capita consumption expenditure by USD$273.61. Key determinants of MCAT adoption include rainfall, education, and, notably, active participation in village cooperatives, which significantly amplify the welfare benefits for adopting members. This study emphasises the critical need for a comprehensive approach to climate adaptation and institutional support, offering precise, data-driven insights for targeted policies aimed at building resilient agricultural systems and reducing rural poverty in vulnerable regions.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1080/13549839.2026.2710616first seen 2026-08-23 04:41:38
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