Companion Repository: How Cities Can Govern Their Carbon Footprints Despite Measurement Challenges
測定課題にもかかわらず都市がカーボンフットプリントを管理する方法：8つの国際アンカー都市の気候計画分析 (AI 翻訳)
Peter-Paul Pichler, Ingram S Jaccard, Cathrin Zengerling, Helga Weisz
🤖 gxceed AI 要約
日本語
本リポジトリは、8つの国際アンカー都市を対象に、都市のカーボンフットプリント測定の課題とそれを克服するための気候計画の分析に用いたコードとデータを提供する。EE-MRIO手法を用いて支出調査データと産業連関表を統合し、都市のフットプリントを計算する手法を実装している。
English
This repository provides code and data for analyzing how cities can govern their carbon footprints despite measurement challenges, based on climate planning in eight international anchor cities. It implements an EE-MRIO approach combining expenditure survey data with input-output tables to compute city footprints.
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
日本の自治体もSSBJやTCFDに対応した排出量算定が求められており、本手法は都市単位のカーボンフットプリント（Scope3含む）の標準化に示唆を与える。特に、支出調査データを用いたEE-MRIOアプローチは日本の都市でも応用可能。
In the global GX context
This paper contributes to the global discussion on city-level carbon accounting and climate governance, relevant to frameworks like GPC (Global Protocol for Community-Scale GHG Emissions) and C40. The multi-city empirical approach highlights practical challenges in measuring consumption-based emissions, which is key for Scope 3 transparency.
👥 読者別の含意
🔬研究者:Provides a replicable EE-MRIO methodology for city carbon footprints and a coded dataset of climate plans from eight global cities, useful for comparative urban climate governance research.
🏢実務担当者:City sustainability officers can leverage the open-source code and data to benchmark their own carbon footprint analysis and climate planning against international peers.
🏛政策担当者:Illustrates how cities can adopt consumption-based accounting despite data limitations, offering insights for national and subnational climate policy design.
📄 Abstract（原文）
This repository contains all the code and data necessary to reproduce the figures and tables presented in the manuscript, as well as the supplementary materials for the paper titled "How Cities Can Govern Their Carbon Footprints Despite Measurement Challenges - An Analysis of Climate Planning in Eight International Anchor Cities." Repository Structure Code Files: cityfootprint_figures.qmd: Code for generating figures in the manuscript. cityfootprint_manuscript.qmd: Code for the main manuscript. cityfootprint_supplementary.qmd: Code for supplementary materials. Data Directory (data/): city_footprints.csv: File containing city-specific carbon footprint results. Derived Data (data/derived/): dat_fig1a.csv: Data for Figure 1a. dat_fig1b.csv: Data for Figure 1b. dat_fig2.csv: Data for Figure 2. dat_fig3.csv: Data for Figure 3. dat_measures.csv: Coded results from climate plan document analysis. dat_measures_polsec.csv: Coded results from climate plan document analysis at policy sector resolution. dat_sectors.csv: Sector correspondence (EXIOBASE - analysis). Emission Accounting Data (data/emission_accounting/): ces_exp_data.xlsx: Expenditure survey data. city_footprints.csv: City carbon footprint data (copy). cityfootprints_directemissions_data_overview.xlsx: Overview of direct emissions data. city_footprints_final.Rmd: EE-MRIO city footprint calcualtion code. direct_emissions_city_inventories.zip: Compressed data for direct emissions inventories. exiobase_pxp_ces_concordance_matrices.xlsx: Concordance matrices for EXIOBASE and CES. expenditure_surveys.zip: Compressed data for expenditure surveys. Repository at: https://gitlab.pik-potsdam.de/pichler/cityfootprints
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5281/zenodo.20538571first seen 2026-06-23 05:43:02 · last seen 2026-06-23 05:43:49
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