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Financial development, natural resources, and green technologies in the U.S.: A wavelet coherence and frequency-domain causality analysis

米国における金融発展、天然資源、グリーン技術：ウェーブレットコヒーレンスと周波数領域因果分析 (AI 翻訳)

Madad Ali, Rana Zain Ul Abidin, Rabia Qammar, Alaa Mohammad Hourani, Muhammad Salman Ahmad, Qaiser Abbas

Energy & Environmentプレプリント2025-12-02#エネルギー転換Origin: US
DOI: 10.1177/0958305x251403033
原典: https://doi.org/10.1177/0958305x251403033

🤖 gxceed AI 要約

日本語

1970年から2021年の米国データを用い、金融発展、天然資源、グリーン技術、貿易開放度、経済成長の動的関係をウェーブレットコヒーレンスと周波数領域因果分析で検証。金融発展は当初資源利用を促進するが、次第に技術革新を支援し、グリーン技術が長期的に成長と資源依存の切り離しに寄与することを示す。IRAや炭素中立政策への示唆を含む。

English

Using U.S. data from 1970-2021, this study applies wavelet coherence and frequency-domain causality to examine dynamic linkages among financial development, natural resources, green technologies, trade openness, and economic growth. Findings show financial development initially boosts resource use but later supports innovation, with green technologies exerting long-run causal influence in decoupling growth from resource dependence. Offers policy insights for the U.S. carbon neutrality agenda and the Inflation Reduction Act.

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

米国市場を対象とした研究だが、日本の金融機関や政策担当者にとって、金融発展とグリーン技術の長期的な因果関係を理解する上で参考になる。特に、日本のGX推進における金融市場の役割や、SSBJ開示が投資家の資金配分に与える影響を考察する際に示唆を与える。

In the global GX context

This study extends time-frequency research to an advanced economy, offering insights into how financial cycles interact with environmental transition. It provides policy-relevant evidence for aligning capital markets with low-carbon transformation, relevant to global discussions on sustainable finance and the implementation of ISSB standards.

👥 読者別の含意

🔬研究者:Provides a methodological framework for analyzing time-frequency dynamics between financial development and green technologies in advanced economies.

🏢実務担当者:Highlights the importance of aligning financial strategies with long-term green technology innovation for sustainable growth.

🏛政策担当者:Offers evidence on the role of financial development in supporting green transitions, relevant for designing policies like the Inflation Reduction Act.

📄 Abstract（原文）

The study examines the dynamic linkages among financial development, natural resources, green technologies, trade openness, and economic growth in the United States from the period of 1970 to 2021. Employing a multiscale frequency framework that integrates wavelet coherence and frequency-domain causality, the analysis captures both the directional and persistence of relationship across short-, medium-, and long-term horizons. The results show the financial development initially boosts natural resources use and growth but gradually transition toward supporting technological innovation and efficiency improvement. Green technologies exert a strong long run casual influence in decoupling growth from resource dependence, while trade openness displays limited and cyclical effects. This study makes the primary contribution first it extend time frequency research beyond emerging economies by focusing on advance market-based system, revealing how financial cycles interact with environmental transition, second it develops a unified multivariate framework to uncover conditional and directional dependencies, third it provides policy relevant linking to financial sector, technological sector and resource sustainability within the context of the United States carbon neutrality agenda and the inflation reduction act. The findings underscore that sustainable finance in advance countries requires aligning capital markets with innovation led low carbon transformation pathways.

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