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Paper-exact replication package (HTML-only) for an MDPI Systems submission (EU-26 × NACE A*10, 2023)

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Figshare2026-02-24 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Paper-exact_replication_package_HTML-only_for_an_MDPI_Systems_submission_EU-26_NACE_A_10_2023_/31045384
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This Figshare item provides a paper-exact replication package (HTML-only) for an MDPI Systems submission on the twin transition (digital transformation and the green transition) as a core pillar of the European agenda for the Digital Decade. The study examines how digital transformation and digital human capital relate to labour productivity and greenhouse gas (GHG) intensity across European industries.We compile a country-sector dataset covering 26 European Union Member States and ten NACE A*10 sectors for 2023 using harmonized Eurostat sources. Using a path-analytic framework based on composite indicators, the analysis assesses direct, indirect, and context-dependent associations among digital transformation, digital human capital, labour productivity, and environmental performance. Results indicate a positive association between digitalization and digital human capital; digital skills are positively related to labour productivity, while their mediating role between digitalization and labour productivity appears limited. The available evidence suggests artificial intelligence plays only a small moderating role. On the environmental side, higher levels of digitalization and digital skills are associated with a slight reduction in GHG intensity, with modest effects and sectoral heterogeneity.Primary deliverable (offline): replication/replication.html (HTML report). Figures are resolved locally via replication/figs/.Package contents:Frozen derived dataset: data/derived/eu26_a10_2023_dt_dhc_canon.csvData dictionary: data/dict/DATA_DICTIONARY_v4_plus.csvR code: code/Exported tables: tables/Intermediate outputs: outputs/Curated audit artefacts: supplement/Environment specification: renv.lockDataset filename mapping: data/derived/DATASET_NAME_MAPPING.csvThe package is HTML-only by design to avoid PDF/LaTeX dependencies and ensure reviewer-friendly offline rendering.
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2026-02-24
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