Towards Sustainable Development Goals: An ARDL Analysis of Energy Efficiency, Finance, and Technology in Mitigating CO₂ Emissions in the United States
持続可能な開発目標に向けて：米国におけるCO₂排出削減におけるエネルギー効率、金融、技術のARDL分析 (AI 翻訳)
Shamina Israr Tithi
🤖 gxceed AI 要約
日本語
本研究は1990〜2022年の米国データを用い、経済成長、エネルギー効率、金融アクセス、ICT、都市化がCO₂排出に与える影響をARDLモデルで分析。GDP成長と都市化は排出を悪化させる一方、エネルギー効率、金融アクセス、ICTは排出抑制に寄与し、グリーンファイナンスやICTインフラの重要性を実証した。
English
This study uses 1990-2022 US data and ARDL modeling to analyze impacts of economic growth, energy efficiency, financial access, ICT, and urbanization on CO₂ emissions. GDP growth and urbanization worsen emissions, while energy efficiency, financial access, and ICT mitigate them, highlighting the role of green finance and ICT infrastructure for decarbonization.
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
米国を対象とするが、エネルギー効率向上・グリーンファイナンス・ICT活用による排出削減経路は日本のGX政策（例：GXリーグ、グリーン成長戦略）にも示唆を与える。特に金融アクセスがクリーン技術投資を促進する点は、日本のトランジション・ファイナンス議論と親和性が高い。
In the global GX context
Though focused on the US, the paper's findings on energy efficiency, financial access, and ICT as drivers of emission reductions are relevant to global GX debates, especially transition finance and digitalization for climate goals. It reinforces the need for policy integration across finance, technology, and energy sectors.
👥 読者別の含意
🔬研究者:Empirical evidence on how energy efficiency, financial access, and ICT jointly affect CO₂ emissions using ARDL methodology; useful for comparative studies.
🏢実務担当者:Highlights that investing in green finance and ICT can directly reduce emissions, guiding corporate sustainability strategies.
🏛政策担当者:Suggests prioritizing green finance mechanisms, ICT infrastructure, and energy efficiency policies to achieve long-term carbon neutrality.
📄 Abstract（原文）
This paper examines the changing associations among economic growth, Energy Efficiency (EE), and access to finance, Information and Communication Technology (ICT), and Urbanization (URBA) and their joint impacts on Carbon Dioxide (CO₂) emissions in the United States (US) between 1990 and 2022. The analysis employs unit root tests and cointegration tests to estimate the short-run and long-run dynamics to apply the Autoregressive Distributed Lag (ARDL) model with the aid of error correction modeling and Granger causality tests. Results illustrate that Gross Domestic Product (GDP) growth and URBA significantly deteriorate environmental quality, as rising economic activities and expanding urban populations intensify fossil fuel consumption and carbon emissions. In contrast, EE, Financial Accessibility (FA), and ICT adoption exert a mitigating effect on emissions, highlighting their potential role in advancing environmental sustainability. Specifically, access to finance facilitates investment in cleaner technologies, ICT applications reduce energy intensity, and renewable energy innovations enhance efficiency. Causality analysis further indicates unidirectional effects from GDP, ICT, EE, and FA to CO₂ emissions, while URBA demonstrates a bidirectional causal link with emissions. These findings highlight how vital technological development, sustainable finance, and green energy are in ensuring that U.S. development is in line with the global climate agenda. The research is relevant to Sustainable Development Goals (SDG 7: Affordable and Clean Energy, SDG 9: Industry, Innovation, and Infrastructure, SDG 11: Sustainable Cities and Communities, and SDG 13: Climate Action) because it provides empirical data on how to strike a balance between economic growth and environmental sustainability. Policymakers are urged to prioritize green finance, ICT infrastructure, and energy transition policies to achieve long-term carbon neutrality.
🔗 Provenance — このレコードを発見したソース
- openaire https://doi.org/10.31181/sa41202667first seen 2026-05-14 21:30:58
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