← 論文一覧に戻る

中国の対外直接投資とASEANの低炭素開発:水準・年次変化の関連、ホスト国条件、国別異質性

China’s Outward Foreign Direct Investment and Low-Carbon Development in ASEAN: Level and Annual-Change Associations, Host-Country Conditions, and Cross-Country Heterogeneity (原題)

Changyong Deng, Alexander Tay Guan Meng

Sustainability📚 査読済 / ジャーナル2026-11-06#気候金融
DOI: 10.3390/su182111363
原典: https://doi.org/10.3390/su182111363

🤖 gxceed AI 要約

日本語

中国の対外直接投資(OFDI)とASEAN10カ国の炭素排出強度の関係を2007〜2024年について分析。AMG推計ではOFDIストックと炭素強度に有意な負の関連が見られたが、CCEMGや変数変換では再現されず、年次変化モデルでも一貫した関連は確認されなかった。貿易開放度の調整効果も推計手法により結論が分かれ、国別の異質性が大きい。著者らは因果効果や安定的な長期均衡は確認できないと結論づけている。

English

This study examines the link between China's OFDI and carbon emission intensity across ten ASEAN economies (2007–2024), separating level associations from annual changes. Baseline AMG estimates show a significant negative association, but this is not reproduced under CCEMG or alternative transformations, and first-difference models find no consistent contemporaneous relationship. Trade-openness moderation is inconclusive and country heterogeneity is substantial; the authors conclude the relationship is conditional and specification-sensitive, without establishing causality or a stable long-run equilibrium.

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

日本のGX実践への直接的な示唆は限定的だが、ASEANへの資金流入が脱炭素に寄与するかという問いは、日本のアジア向けトランジションファイナンスやAZEC構想の効果検証を考える際の方法論的参照になる。推計手法により結論が変わる点は、インパクト評価の頑健性要件として日本企業・金融機関の投融資効果測定にも示唆を与える。

In the global GX context

Speaks to the global debate on whether cross-border capital flows actually deliver decarbonization in emerging markets, relevant to transition-finance taxonomies and blended-finance impact claims under ISSB/TCFD-aligned reporting. Its finding that results flip across estimators is a caution for investors and standard-setters relying on single-model evidence of OFDI-driven emission reductions.

👥 読者別の含意

🔬研究者:A useful case study in estimator sensitivity (AMG vs CCEMG vs first-difference) when testing FDI–emissions relationships with heterogeneous panels.

🏢実務担当者:Signals that claims linking inbound Chinese investment to emission reductions in ASEAN are not robustly supported, so impact narratives in transition-finance reporting should be treated cautiously.

🏛政策担当者:Suggests host-country conditions and country heterogeneity matter more than aggregate OFDI volumes, informing targeted rather than volume-based low-carbon investment policy.

📄 Abstract(原文)

Whether international investment can support low-carbon development remains a question for emerging economies. We examine the relationship between China’s outward foreign direct investment (OFDI) and carbon emission intensity in ten Association of Southeast Asian Nations (ASEAN) economies over 2007–2024, distinguishing associations in levels from those in annual changes and accounting for host-country conditions and cross-country heterogeneity. First-difference models with Driscoll–Kraay standard errors are used to examine annual changes, while the Augmented Mean Group (AMG) estimator is used to assess heterogeneous level associations. The baseline AMG estimates indicate a significant negative association between OFDI stock and carbon emission intensity, but this finding is not reproduced by common correlated effects mean-group (CCEMG) and is sensitive to alternative variable transformations. First-difference estimates provide no consistent evidence of a contemporaneous OFDI association across common-slope and heterogeneous-slope specifications. Evidence for trade-openness moderation is inconclusive across estimators, while renewable-energy development shows no statistically significant moderating association. Country-specific estimates reveal substantial heterogeneity across ASEAN economies. Overall, the findings suggest a conditional and specification-sensitive relationship between Chinese OFDI and the carbon-efficiency dimension of low-carbon development, without establishing a stable long-run equilibrium or causal effect.

🔗 Provenance — このレコードを発見したソース

🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録(無料・3キーワードまで)。

gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。