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A DYNAMIC CAUSAL MODELLING FRAMEWORK FOR PRIORITISING GREENHOUSE GAS EMISSION REDUCTION STRATEGIES IN AGRO-TOURISM LAND USE AND SUSTAINABLE TERRITORIAL DEVELOPMENT IN THAILAND

タイのアグリツーリズム土地利用と持続可能な地域開発における温室効果ガス排出削減戦略の優先順位付けのための動的因果モデリングフレームワーク (AI 翻訳)

Bussagorn LEEJOEIWARA, Nathaporn PHONG-A-RAN, Chaiyan JUNSIRI

Geojournal of Tourism and Geosites📚 査読済 / ジャーナル2026-09-30#政策対象セクター: agriculture
DOI: 10.30892/gtg.67324-1836
原典: https://doi.org/10.30892/gtg.67324-1836

🤖 gxceed AI 要約

日本語

タイのアグリツーリズム土地利用に起因する温室効果ガス排出削減戦略の因果要因を分析し、PA-Probit-Gモデルを開発。社会文化的要因が最も影響力があり、都市文化率とステークホルダー受容率が重要指標と判明。政府は再生可能エネルギー開発を緊急に推進すべきで、2050年のグリーン経済目標達成に貢献する。

English

This study develops a PA-Probit-G model to prioritize causal factors for GHG reduction strategies in Thai agritourism land use. Socio-cultural factors, including urban culture rate and stakeholder acceptance, are most influential. Urgent government promotion of renewable energy is needed to achieve Thailand's 2050 green economy target.

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

タイの事例だが、日本の農山漁村における観光と脱炭素の統合戦略に示唆を与える。日本の地域循環共生圏や農林水産省のGHG削減策と比較検討する価値がある。

In the global GX context

Provides empirical evidence from Thailand on integrating agritourism with GHG reduction, relevant for global sustainable tourism and land-use policy. Offers a modeling approach applicable to other developing economies.

👥 読者別の含意

🔬研究者:因果モデリング手法とアグリツーリズムのGHG削減要因の知見を活用できる。

🏢実務担当者:観光業や農業の持続可能性戦略立案に参考になる。

🏛政策担当者:地域開発と気候政策の統合における優先順位設定に示唆を与える。

📄 Abstract（原文）

This research aims to examine the priority order of the influence of causal factors affecting the formulation of future greenhouse gas emission management strategies arising from land use for agritourism in Thailand. The study develops an advanced model called the Path Analysis based on Probit Government Model (PA-Probit-G model), which is an enhanced model derived from previous models by incorporating their key strengths to serve as an important tool for formulating national management strategies toward sustainability, given that agritourism is one of Thailand’s leading sources of income. The research findings reveal new insights that enable the prioritization of causal factors in determining strategies to reduce greenhouse gas emissions from land use for agritourism in Thailand. The socio-cultural sector is identified as the most influential factor, with indicators used as new scenario policies including the urban culture rate and stakeholder acceptance rate, alongside the government sector, which must urgently and concretely promote renewable energy development in the future. These indicators are considered critically important for reducing greenhouse gas emissions resulting from the promotion and expansion of agritourism as a main source of income for Thailand and for achieving the green economy target by 2050. Furthermore, the results demonstrate that the new scenario policies proposed in this study can continuously drive greenhouse gas emissions to levels below the carrying capacity, thereby contributing to the long-term success of Thailand’s national management plan.

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