Economic Agglomeration and District-Level Carbon Emissions in Indonesia
インドネシアにおける経済集積と地区レベルの炭素排出 (AI 翻訳)
Ryvanu Adi Nugroho, Djoni Hartono
🤖 gxceed AI 要約
日本語
本研究は、インドネシアの514の県・市を対象に、経済集積（雇用密度）と一人当たり炭素排出量の関係をSTIRPATモデルで分析。U字型の非線形関係を発見し、低密度地域では効率改善、高密度地域では環境負荷増大を示唆。地域差も顕著で、政策への示唆を提供。
English
This study analyzes the relationship between economic agglomeration (employment density) and per-capita carbon emissions across 514 Indonesian districts using an extended STIRPAT model. It finds a U-shaped nonlinear relationship: agglomeration reduces emissions at lower levels but increases them beyond a threshold, with significant regional heterogeneity. Policy implications for low-carbon transitions are discussed.
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
インドネシアの事例は、日本の地方創生やコンパクトシティ政策における排出削減効果の評価に示唆を与える。日本のSSBJ開示では直接関係しないが、地域別排出原単位の考え方は参考になる。
In the global GX context
This study contributes to global understanding of urbanization and carbon emissions, relevant for TCFD/ISSB climate risk assessments in emerging economies. It provides empirical evidence on agglomeration thresholds that can inform transition finance and urban policy.
👥 読者別の含意
🔬研究者:Provides empirical evidence on the nonlinear relationship between agglomeration and emissions, useful for urban climate policy research.
🏢実務担当者:Offers insights for companies assessing location-based carbon risks in Indonesian supply chains.
🏛政策担当者:Highlights the need for differentiated policies based on regional density to achieve low-carbon development.
📄 Abstract（原文）
Research Originality: This study contributes to the literature by incorporating employment density as a proxy of economic agglomeration into an extended STIRPAT framework to examine its nonlinear relationship with district-level carbon emissions in Indonesia. Research Objectives: This study aims to investigate whether economic agglomeration promotes emission efficiency or intensifies environmental pressure, and to identify potential nonlinear dynamics across Indonesian districts. Research Methods: This study employs a balanced panel dataset of 514 districts and municipalities in Indonesia over the period 2017–2024. A two-way fixed-effects model is estimated within an extended STIRPAT framework, with a quadratic specification to capture nonlinear effects. Empirical Results: The results indicate that economic agglomeration is associated with lower carbon emissions per capita, suggesting efficiency effects. However, the nonlinear estimation reveals a U-shaped relationship: agglomeration reduces emissions at lower levels but increases environmental pressure beyond a threshold. The findings also indicate substantial regional heterogeneity. Implications: The results suggest that agglomeration does not inherently lead to environmental improvements. Differentiated policies should strengthen regional growth and efficiency in low-density areas while prioritizing low-carbon transitions and congestion mitigation in dense regions. JEL Classification: Q56, R12, O18 How to Cite:Nugroho, R.A. & Hartono, D. (2026). Economic Agglomeration and District-Level Carbon Emissions in Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 15(2), 471-486. https://doi.org/10.15408/sjie.v15i2.50229.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.15408/sjie.v15i2.50229first seen 2026-08-09 05:14:42
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