Mapping Net-Zero Technologies Through Web Scraping: Evidence from Italian Corporate Websites
ウェブスクレイピングによるネットゼロ技術のマッピング：イタリア企業ウェブサイトからの証拠 (AI 翻訳)
Marco Cucculelli, Noemi Giampaoli, Matteo Renghini
🤖 gxceed AI 要約
日本語
本論文は、EUのネットゼロ産業法（NZIA）の技術枠組みを企業レベルで運用し、大規模ウェブスクレイピングで企業ウェブサイトから非構造化情報を抽出して、イタリア企業のネットゼロ技術の採用と開発をマッピングする。特許データと組み合わせることで、採用企業と開発企業を識別し、地理的・セクター別分布と企業レベルの要因を分析。ウェブデータは採用の識別に有効だが、技術開発の捕捉には特許情報の補完が必要と結論付ける。
English
This paper operationalizes the EU's Net-Zero Industry Act (NZIA) technology framework at the firm level, using large-scale web scraping to extract unstructured data from corporate websites and map Italian firms' adoption and development of net-zero technologies. Combining web signals with patent data, it identifies adopters and developers, analyzes geographic and sectoral distribution, and firm-level drivers. Findings show web data effectively identifies adoption but requires patent information to capture technological development, with implications for place-based industrial policies under NZIA.
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
日本では、GX実現に向けた企業の技術採用状況の把握が課題であり、本論文のウェブスクレイピング手法は、日本の企業開示データやSSBJに基づく情報と組み合わせることで、GX技術の普及状況を可視化する示唆を与える。政策立案や投資家対応に有用な手法を提供する。
In the global GX context
This paper contributes to global GX scholarship by demonstrating a novel method to map firm-level adoption of net-zero technologies using web scraping, complementing traditional metrics. It offers a replicable approach for tracking technology diffusion under policy frameworks like the EU's NZIA, relevant for ISSB-aligned disclosure and transition finance.
👥 読者別の含意
🔬研究者:Provides a novel methodology for measuring firm-level net-zero technology adoption using web data, useful for innovation and climate policy research.
🏢実務担当者:Offers a way to benchmark corporate technology adoption and identify potential partners or competitors in the net-zero transition.
🏛政策担当者:Demonstrates how web scraping can inform place-based industrial policies and monitor progress under frameworks like NZIA.
📄 Abstract（原文）
The Net-Zero Industry Act (NZIA) is a key initiative of the European Union aimed at accelerating the green transition and strengthening the EU’s clean-tech industrial base. However, the adoption of net-zero technologies across firms, sectors and regions remains largely undocumented, mainly due to the limitations of conventional innovation metrics. This paper addresses this gap by operationalising the NZIA technology framework at the firm level and combining structured firm-level data with unstructured information extracted from corporate websites via large-scale web scraping. Focusing on Italian companies, we map the adoption of net-zero technologies by firms and, within adopters, identify firms that are also engaged in their technological development by integrating web-based signals with patent data. We document the geographical and sectoral distribution of adopters and developers and analyse the firm-level drivers associated with technology adoption and development. Our results show that web-based data are effective in identifying the adoption of net-zero technologies, but they need to be complemented with patent information to accurately capture technological development. These findings have important implications for the design of targeted, place-based industrial policies under the NZIA framework.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://link.springer.com/content/pdf/10.1007/s40797-026-00403-3.pdffirst seen 2026-08-05 05:18:08
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。