Replication data and code for: Bridging or Blocking? Dynamic Co-movement between Plug-in Hybrid and Battery Electric Passenger-Car Registrations in Italy
架け橋か障壁か?イタリアにおけるプラグインハイブリッドとバッテリー電気乗用車登録の動的共変動 (AI 翻訳)
Bonacina, Monica
🤖 gxceed AI 要約
日本語
本論文は、イタリアの月次データ(2018年1月~2026年3月)を用いて、プラグインハイブリッド車(PHEV)とバッテリー電気自動車(BEV)の登録台数の動的関係を分析。政策支援指標や待機フェーズ変数を含む独自データセットを提供し、両者の共変動が補完的か代替的かを実証的に検証している。
English
This study analyzes the dynamic co-movement between plug-in hybrid (PHEV) and battery electric vehicle (BEV) registrations in Italy using monthly data from January 2018 to March 2026. It provides a novel dataset including policy-support indices and waiting-phase dummies to examine whether these technologies complement or substitute each other in the transition to electric mobility.
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
本論文は日本のEV政策にも示唆を与える。日本ではPHEVとBEVの位置づけが議論されており、政策支援の効果を見極めるフレームワークとして参考になる。ただし、データがイタリアに限定されるため、日本の市場構造や補助金制度との違いを考慮する必要がある。
In the global GX context
This paper offers a valuable empirical framework for understanding the interplay between PHEV and BEV adoption, which is critical for designing effective EV transition policies globally. The Italian case provides insights into how policy support timing and intensity affect consumer choices, relevant for countries like the US and EU member states implementing similar incentive schemes.
👥 読者別の含意
🔬研究者:The novel dataset and ECM specification offer a replicable methodology for analyzing technology co-movement in the EV transition.
🏢実務担当者:Automakers and charging infrastructure firms can use the findings to anticipate market shifts between PHEV and BEV under varying policy regimes.
🏛政策担当者:The policy-support index and waiting-phase dummy provide a template for evaluating the real-time effectiveness of EV incentives.
📄 Abstract(原文)
This repository contains the replication package for the paper “Bridging or Blocking? Dynamic Co-movement between Plug-in Hybrid and Battery Electric Passenger-Car Registrations in Italy” . The archive includes the monthly dataset used in the empirical analysis, covering Italy from January 2018 to March 2026 , together with supporting replication materials. The dataset combines monthly BEV and PHEV passenger-car registrations, total passenger-car registrations, public charging infrastructure, policy-support variables, incentive waiting-phase indicators, running-cost variables, and additional controls used in robustness analysis. The package includes: the Excel dataset used in the paper; a README file documenting scope, variables, sample coverage and replication instructions; a data dictionary; monthly policy-coding files for the policy-support index and waiting-phase dummy; essential Python scripts to validate the dataset, reproduce descriptive statistics, generate the main descriptive figures, and estimate the baseline ECM specification; example outputs generated from the scripts. The policy-support index is a semi-quantitative regime-intensity control. It ranks the effective strength and usability of national support across legally defined regimes and should not be interpreted as a euro-for-euro subsidy measure or as a standalone causal policy-treatment variable. The waiting-phase dummy identifies months in which incentives were formally announced but not fully usable, temporarily exhausted, or subject to implementation delays. Preliminary observations and variables are explicitly flagged in the dataset. In particular, 2025-onward total-car-stock and BEV-stock estimates are flagged because final ACI parco auto data were pending at the time of the dataset freeze, and 2025-onward EEA-based running-cost and BEV cost-advantage variables are flagged because final EEA 2025 new-car efficiency and emissions parameters had not yet been published. This version aligns the replication package with the manuscript title and with the dataset used to produce the tables, figures and robustness checks reported in the paper and Supplementary Material.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20305846first seen 2026-05-21 04:12:52
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