Baselight

Environmentally Related Tax Revenue Accounts

OECD dataset from agency OECD.ENV.EPI: DSD_ERTR@DF_ERTR_ACC (1995 - 2022)

@oecd.oecd_env_epi_dsd_ertr_df_ertr_acc_v1_0

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About this Dataset

Environmentally Related Tax Revenue Accounts

This dataset presents the data collected from OECD and partner economies on environmentally related tax revenue accounts with a breakdown by tax-base category and industrial activity. Taxes levied on greenhouse gas (GHG) emissions are explicitly reported in two sub-categories: an energy related part (recorded as an energy tax) and a non-energy related part, such as certain GHG emissions related to landfills or agriculture (recorded as a pollution tax). Four "memo items" (i.e. information items that do not change the total) are included: (i) Certain land taxes; (ii) Taxes on oil and natural gas extraction; (iii) Taxes on the resource rent; (iv) Elevated value added taxes levied on environmentally related tax-bases. The OECD ERTR accounts are consistent with the existing data collection by Eurostat and are in line with the System of Environmental-Economic Accounting - Central Framework (SEEA-CF).

The dataset is updated on a biennial basis. For EU countries, it includes the information on ERTR accounts reported to Eurostat.

Dataset release date: 2024 September

Contact : ENV.Stat@oecd.org

For further details on the dataset consult:**** OECD (2023), Methodological Guidelines for Environmentally Related Tax Revenue Accounts , OECD Publishing, Paris, https://doi.org/10.1787/d752d120-en.

Tables

Observations

@oecd.oecd_env_epi_dsd_ertr_df_ertr_acc_v1_0.observations
  • 3.58 MB
  • 2,126,589 rows
  • 17 columns
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CREATE TABLE observations (
  "dataflow" VARCHAR,
  "freq" VARCHAR,
  "ref_area" VARCHAR,
  "measure" VARCHAR,
  "category" VARCHAR,
  "domain" VARCHAR,
  "unit_measure" VARCHAR,
  "activity" VARCHAR,
  "time_period" BIGINT,
  "obs_value" VARCHAR,
  "price_base" VARCHAR,
  "obs_status" VARCHAR,
  "obs_status_2" VARCHAR,
  "decimals" BIGINT,
  "unit_mult" BIGINT,
  "ref_year_price" VARCHAR,
  "currency" VARCHAR
);

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