Navigating Sustainability: The Interplay of Energy Consumption, Economic Growth, and FDI on Carbon Emissions in India Using ARDL Analysis
持続可能性へのナビゲーション：インドにおけるエネルギー消費、経済成長、FDIの炭素排出への相互影響（ARDL分析による） (AI 翻訳)
Hemant Kumar Sah, Sunil Kumar, Gyanendra Singh Sisodia, Hajer Kratou
🤖 gxceed AI 要約
日本語
本研究は、1990年から2022年のインドの時系列データを用いて、エネルギー消費、経済成長、外国直接投資（FDI）が炭素排出に与える影響をARDLバウンドテスト手法で分析した。結果、すべての変数が共和分関係にあり、経済成長から炭素排出への一方向因果性などが示された。これらの知見から、環境汚染の緩和とクリーンエネルギーへの投資促進政策が提言されている。
English
This study empirically examines the impact of energy consumption, economic growth, and FDI on carbon emissions in India from 1990 to 2022 using ARDL bounds testing. It finds cointegration among variables, with Granger causality showing unidirectional links from growth to emissions, emissions to energy consumption, etc. The study suggests policies for pollution mitigation and clean energy investment.
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
インドの炭素排出要因を解明する本研究は、日本企業のインドにおけるサプライチェーン排出管理や日印環境協力に示唆を与える。特にFDIと排出の双方向因果性は、インド進出企業のESG戦略立案に有用である。
In the global GX context
This study provides empirical evidence on emission drivers in a major developing economy, relevant for global climate policy and investors assessing India's transition pathway. The findings underline the importance of decoupling economic growth from emissions.
👥 読者別の含意
🔬研究者:Provides empirical evidence on emission drivers in India using ARDL, useful for causal inference in energy-economy-environment models.
🏢実務担当者:Highlights the link between FDI and emissions, suggesting that foreign investment strategies should account for carbon implications.
🏛政策担当者:Offers insights for designing policies that decouple economic growth from emissions and promote clean energy investments.
📄 Abstract（原文）
This study empirically analyses the influence of energy consumption, economic growth, and foreign direct investment (FDI) on carbon emission in India. The Autoregressive Distributed Lag (ARDL) bounds-testing approach is applied on time series data from 1990 to 2022 to determine the cointegration between series variables. The findings show that all variables are cointegrated. The Granger Causality test confirms unidirectional causality running from economic growth to carbon emissions, from carbon emissions to energy consumption, from energy consumption to foreign direct investment, and from foreign direct investment to renewable energy consumption. Also, the results presented a bidirectional causal relationship between foreign direct investment and carbon emission. Thus, the level of carbon emissions is significantly connected with economic growth and energy consumption. The rising energy demand further supports investment in the energy sector. Based on our findings, this study suggests the creation of policies towards mitigation of environmental pollution and promotion of investment in clean energy sources.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/economies14070253first seen 2026-07-29 05:12:38
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