The green transition and workforce dynamics under demographic change: A comparative analysis of Romania in the European context
人口動態変化下におけるグリーン移行と労働力動態：欧州文脈におけるルーマニアの比較分析 (AI 翻訳)
Mihaela Irma Vlădescu, Mihaela Georgiana Oprea
🤖 gxceed AI 要約
日本語
本研究は、EU加盟国におけるグリーン移行と人口動態の関係を、経済・環境・人口統計指標を用いて比較分析する。ルーマニアは再生可能エネルギー消費の増加と低CO2排出にもかかわらず、構造的制約とエネルギー依存により移行が制限されている。クラスター分析により、高開発国と低開発国のパターンが明らかになった。
English
This study compares EU member states on green transition and demographic dynamics using economic, environmental, and labor indicators. Romania shows increasing renewables and low emissions but faces structural constraints. Cluster analysis reveals distinct patterns among developed and less developed economies, with exceptions like Sweden and Denmark.
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政策（GX推進法、GX経済移行債）や地域間格差の議論に示唆を与える。人口減少下での労働力確保と脱炭素の両立は日本でも重要であり、ルーマニアの事例は参考になる。
In the global GX context
Contributes to global understanding of green transition in less developed EU economies, highlighting demographic challenges. Relevant for policymakers addressing just transition and regional disparities within the EU.
👥 読者別の含意
🔬研究者:EU加盟国のグリーン移行と人口動態の関係をクラスター分析で示した実証研究として有用。
🏢実務担当者:特になし。
🏛政策担当者:EU内の地域間格差と人口動態を考慮した移行政策の立案に示唆を与える。
📄 Abstract（原文）
The intensification of climate change combined with demographic shifts poses significant challenges for sustainable economic development in the European Union (EU). This study examines Romania’s position relative to other EU member states in the green transition, integrating economic, environmental, and demographic indicators into a comparative analytical framework. The research investigates the interrelationships among these indicators, with demographic dynamics conceptualized through the lens of the labor force. The analysis is based on data collected from Eurostat and Our World in Data, covering a sample of EU member states representing different levels of economic development. To identify similarities and differences across countries, scatter-plot analysis and agglomerative hierarchical clustering (AHC) were applied using five key indicators: gross domestic product per capita (purchasing power standard), CO2 emissions per capita, primary energy consumption, the share of renewable energy, and the proportion of the active population to the total population. Based on these data, two research hypotheses were formulated on the relationship between economic development and sustainability performance. The results highlight the formation of clusters, generally comprising: (i) highly developed countries with high emissions; (ii) developed countries with effective green transition policies; and (iii) less developed economies, including Romania, characterized by relatively low emissions and increasing shares of renewable energy consumption. However, there are exceptions, such as Sweden and Denmark, which, despite being developed countries, cluster with Romania due to their high renewable energy consumption and low CO2 emissions. Although Romania is gradually aligning with European sustainability policies, its transition remains constrained by structural limitations, energy dependency, and demographic and economic challenges.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.36922/eer026120007first seen 2026-08-04 04:55:42
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