一人当たり自然資本の減少の説明：世界銀行の富勘定に基づく3つの柱によるESG分析
Explaining the Decline of Natural Wealth per Capita: A Three-Pillar ESG Analysis of the World Bank Wealth Accounts (原題)
Leogrande A, Magazzino C, Costantiello A, Drago C, Arnone M, Laureti L
🤖 gxceed AI 要約
日本語
本論文は、世界銀行のChanging Wealth of Nationsデータを用い、1995〜2020年の149〜151か国における再生可能自然資本の一人当たりの年間変化を、ESGの3つの柱に分けて分析。人口増加が主因で、気候ストレスが最も頑健な環境要因。再生可能エネルギー比率の効果はパネル次元で符号が反転する。
English
Using World Bank wealth accounts for 149-151 countries (1995-2020), this paper explains per-capita renewable natural capital decline via three ESG pillars. Population growth is the dominant driver (coefficient -0.913), while climatic stress is the most robust environmental determinant. Renewable energy share shows sign reversal across panel dimensions.
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
日本のGX文脈では、自然資本会計やESG指標の精緻化はSSBJや統合報告書での情報開示に寄与する可能性があるが、本論文は国レベルの分析であり、企業実務への直接的な示唆は限定的。
In the global GX context
Globally, this paper contributes to natural capital accounting and ESG research by separating pillar effects and highlighting demographic drivers, relevant for post-2020 biodiversity frameworks and climate risk assessments.
👥 読者別の含意
🔬研究者:Provides methodological insights for analyzing natural capital decline with ESG pillars and panel econometrics.
🏛政策担当者:Highlights population growth and climatic stress as key factors for natural capital policy.
📄 Abstract（原文）
Comprehensive wealth accounting defines net investment in natural capital as the change in the stock, yet country-level ESG research has concentrated on flow measures of environmental pressure and left this outcome unexamined. Drawing on the World Bank Sovereign ESG Data Portal, this paper takes the annual change in renewable natural capital per capita, from the Changing Wealth of Nations accounts, as its dependent variable, for 149 to 151 countries between 1995 and 2020. It is explained three times, through parallel equations differing only in the ESG pillar of origin of their regressors, so that the three sets of determinants are estimated as distinct and comparable effects rather than compressed into a composite index. Each equation is developed through panel econometrics across six estimators, a comparison of six clustering algorithms ranked on eleven internal validity indices, and six supervised learners used to validate the specification rather than to predict. Median renewable natural capital per capita falls by 29.7 per cent and its share of comprehensive wealth halves, yet the aggregate stock is roughly constant: the coefficient on population growth is −0.913, indistinguishable from the value implied by the accounting identity, and becomes insignificant on the total stock. The decline is therefore demographic arithmetic. Climatic stress is the most robust environmental determinant, and its coefficient more than doubles when agricultural land is excluded from the dependent variable. Institutional trajectory dominates institutional level, a distinction recovered independently by the clustering. Relationships differ systematically between the two panel dimensions, and the renewable energy share reverses sign across them.
🔗 Provenance — このレコードを発見したソース
- Research Square https://doi.org/10.20944/preprints202609.0004.v1first seen 2026-09-03 04:44:58 · last seen 2026-09-15 04:22:15
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