Companion Repository: How Cities Can Govern Their Carbon Footprints Despite Measurement Challenges

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