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ガーナにおける労働市場動学、環境劣化、雇用決定要因:工業化・貿易開放性・炭素強度の相互作用

Labour Market Dynamics, Environmental Degradation, and Employment Determinants in Ghana: The Interplay of Industrialisation, Trade Openness, and Carbon Intensity (原題)

Samuel Asuamah Yeboah, Ernest Kumi, Alex Ofori

International Journal of Energy Economics and Policy📚 査読済 / ジャーナル2026-11-03#エネルギー転換対象セクター: manufacturing
DOI: 10.32479/ijeep.25166
原典: https://doi.org/10.32479/ijeep.25166

🤖 gxceed AI 要約

日本語

ガーナの1970〜2023年時系列データを用い、雇用と製造業付加価値・貿易開放性・資本形成・CO2排出の長期均衡関係をARDL手法で分析。炭素・エネルギー集約型の工業化は雇用吸収力に乏しく、製造業付加価値は雇用に負の効果を持つことを示す。貿易開放性は短期的に雇用を押し上げる一方、環境劣化と雇用拡大の構造的トレードオフを指摘し、労働集約的で省エネ型のグリーン製造政策を提言する。

English

Using 1970–2023 Ghanaian time-series data, this study applies ARDL bounds testing and Granger causality to examine employment determinants alongside manufacturing value-added, trade openness, capital formation, and CO2 emissions. Carbon- and energy-intensive industrialisation shows weak labour absorption, with manufacturing value-added negatively affecting employment. Trade openness yields short-run employment gains, while CO2 emissions reveal a structural trade-off between environmental degradation and job creation, pointing to green, labour-intensive manufacturing policy.

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

日本企業がガーナ等アフリカでサプライチェーンや製造拠点を展開する際、炭素集約型工業化が雇用に結びつかないという本知見は、現地での公正な移行(just transition)配慮や人権・雇用デューデリジェンスの論点として参考になる。ただしSSBJや有報開示に直接接続する内容ではない。

In the global GX context

Adds Global South empirical evidence to the just-transition and green-jobs debate, showing that carbon-intensive industrialisation may not deliver employment co-benefits. Relevant to transition-finance and development-finance discussions on aligning capital deepening with sustainability, though it sits outside TCFD/ISSB disclosure frameworks.

👥 読者別の含意

🔬研究者:新興国における炭素強度・貿易・雇用の長期均衡をARDLで捉える実証枠組みの参考になる。

🏢実務担当者:アフリカ新興国での製造・調達拠点検討時に、雇用・環境トレードオフを踏まえた現地影響評価の視点を提供する。

🏛政策担当者:炭素集約型工業化ではなく、労働集約的で省エネ型のグリーン製造・貿易政策設計の根拠として活用できる。

📄 Abstract(原文)

This study examines the macroeconomic and environmental determinants of employment dynamics in Ghana, highlighting the nexus between energy-intensive manufacturing development, trade openness, capital formation, and carbon dioxide (CO2) emissions. Utilising annual time-series data from 1970 to 2023, the study applies the Autoregressive Distributed Lag (ARDL) bounds-testing procedure, error-correction modelling, and VAR-based Granger causality analysis to evaluate short- and long-run employment responses. The cointegration analysis confirms a robust long-run equilibrium relationship among employment, manufacturing value-added, trade openness, capital accumulation, and carbon emissions. The error-correction coefficient is negative and statistically significant, confirming that short-run disequilibrium adjusts toward long-run equilibrium, albeit slowly. The empirical results reveal that manufacturing value-added exerts a statistically significant negative effect on employment, indicating that Ghana’s industrial growth path, driven by carbon- and energy-intensive manufacturing, has lacked sufficient labour-absorbing capacity. Conversely, trade openness demonstrates a positive employment effect through short-run lagged dynamics and Granger causality, indicating that external sector integration yields employment benefits when domestic firms capitalise on expanded market access. Capital formation exhibits a weak and statistically insignificant effect on labour demand, suggesting that capital accumulation has not been adequately aligned with job creation. Furthermore, including CO2 emissions highlights the structural trade-off between environmental degradation and employment expansion. The study concludes that achieving employment-rich, sustainable transformation requires green manufacturing policies targeting labour-intensive, energy-efficient production; trade strategies that foster local value addition; and investment frameworks that align capital deepening with environmental sustainability and workforce employability.

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