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Unlocking Climate Mitigation in BRICS: The Role of Economic and Technological Drivers

BRICS諸国における気候緩和の解明:経済的・技術的推進要因の役割 (AI 翻訳)

Munir Ahmad, Muhammad Kashif Majeed

Journal of Agribusiness and Social Sciences📚 査読済 / ジャーナル2026-07-04#エネルギー転換
DOI: 10.66529/jass.2026.1.2.55
原典: https://doi.org/10.66529/jass.2026.1.2.55

🤖 gxceed AI 要約

日本語

本研究はARDLモデルを用いてBRICS諸国(1991-2022年)の二酸化炭素排出と経済・環境要因の関係を分析。エネルギー消費が長短期的に環境悪化の主因である一方、農業と林業は短期的に排出削減に寄与。長期的には農業とエネルギー使用が排出を増加させるが、林業保全と技術進歩は環境改善に寄与する。緩やかな均衡への収束が確認された。

English

Using ARDL modeling on BRICS panel data (1991-2022), this study examines the dynamic link between carbon emissions and economic/environmental factors. Energy consumption is the main driver of emissions in both short and long run. Agriculture and forestry reduce emissions in the short term, but agriculture increases them long term. Forestry conservation and technology improve the environment long term. Adjustment toward equilibrium is slow.

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

BRICS諸国は世界の排出量の多くを占め、本分析は途上国の排出構造を理解する上で示唆に富む。ただし日本固有の制度(SSBJなど)との直接の関連は薄い。

In the global GX context

This paper provides empirical evidence on emission drivers in BRICS economies, relevant for global climate policy. It highlights the persistent role of energy consumption and the mixed effects of agriculture and forestry, informing mitigation strategies for emerging economies.

👥 読者別の含意

🔬研究者:Empirical evidence on short- vs long-term emission drivers in BRICS using ARDL methodology.

🏛政策担当者:Highlights need for combined economic and environmental policies targeting energy efficiency and forestry conservation.

📄 Abstract(原文)

The study uses Autoregressive Distributed Lag (ARDL) modeling to analyze the dynamic link between carbon emissions and economic and environmental factors. Agriculture, energy consumption, financial development, forestry, economic expansion, and ICT are used to assess short- and long-term environmental impacts. The Panel data set for the period of 1991-2022 for BRICS Economies was used for estimation. Strong emissions persistence and important short-term changes toward long-run equilibrium are shown empirically. Energy consumption is the main cause of environmental deterioration over both time periods, indicating structural dependency on energy-intensive manufacturing processes. Short-term findings show that agriculture and forestry reduce emissions, but financial development raises environmental strain. Economic development and ICT have little direct impact. Long-term projections show that agriculture and energy use raise emissions, while forestry conservation and technology enhance the environment. Long-term consequences of financial development and GDP are insignificant. The error correction process verifies convergence toward equilibrium, although adjustment is sluggish. Diagnostics confirm model stability despite heteroscedasticity and non-normal residuals. To reduce emissions and stabilize the climate, combined economic and environmental measures are needed.

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