中国の農業のグリーン・ファクター総生産性に対するデータ要素の影響
Guoqun Ma1,2, Ruimin Qin1, Shuangcheng Lei3
1School of Economics and Management, Guangxi Normal University, Guilin, 541006, China.
Scientific reports
|August 26, 2025
まとめ
データの要素は,中国における農業のグリーン・ファクター・トータル・プロダクティビティ (AGTFP) を著しく高めています. これは,特に西部の地域では,労働の移転,最適なスケール管理,技術革新を促進します.
科学分野:
- 農業経済学
- 環境科学
- データサイエンス
背景:
- 持続可能な開発には,農業のグリーン・ファクター・トータル・プロダクティビティ (AGTFP) が不可欠です.
- データの要素は,農業の効率と持続可能性を高める未開拓の可能性を秘めています.
- データ要素の影響を理解することは,中国の農業部門の政策策定に不可欠です.
研究 の 目的:
- 中国におけるAGTFPのデータ要素の影響を調査する.
- データ要素がAGTFPに影響を与える根本的なメカニズムを分析する.
- AGTFPに対するデータ要素の地域的な異質性を検討する.
主な方法:
- 2010年から2022年までの中国の30省のパネルデータ分析
- 関係を評価するために固定効果モデルを適用する.
- 発見を検証するための強度と内因性試験.
- "Hu-Huanyong Line"の境界線を含む異質性分析
主要な成果:
- データ要素はAGTFPに顕著な効果を示しています.
- そのメカニズムは,労働の非農業移転を促進し,最適な規模管理を強化し,農業技術革新を推進することです.
- 影響は西部の地域と"フー・フアンヨン線"の東南側でより顕著です.
結論:
- データ要素は中国のAGTFPの改善の重要な要因です.
- 政策の勧告は,データインフラ,先進的な農業生産性,そして特化した地域戦略に焦点を当てています.
- グリーンで持続可能な農業の成長には,データ要素の利用を容易にすることが不可欠です.
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