[97_26_DF_DCCN_IMPAMB1_5] Use of the tax revenue
Updated on DBnomics on October 31, 2023 (8:18 AM).
[FREQ] Frequency
- [A] annual
[REF_AREA] Territory
- [IT] Italy
[DATA_TYPE_AGGR] Aggregate
- [ENVTXEUR] environmental taxes (millions of euro)
[ENVIRONMENTAL_TAX_CATEG] Environmental tax category
- [ENV] total environment taxes
[UNITS_NA] Units
- [T_USE] total units
[BRKDW_INDUSTRY_NACE_REV2] Breakdown by industry (NACE Rev.2)
- [_T] total economic activities
[CEPA_CLASS] CEPA class
- [TOTAL] total
[EARNMARK_ENV_TAX_REV] Earmarking of environmental tax revenue
- [REEEP] revenue from environmental taxes earmarked for environmental purposes
- [RENEEP] revenue from environmental taxes not earmarked for environmental purposes
- [TOTAL] total
[VALUATION] Valuation
- [V] current prices
[FREQUENCY] Frequency
- [A] annual
[EDITION] Edition
- [2019M10] Oct-2019
- [2020M11] Nov-2020
- [2021M11] Nov-2021
- [2022M11] Nov-2022
- [2022M6] Jun-2022
- [2023M10] Oct-2023
- [2023M7] Jul-2023
Search filters
Frequency [FREQ] (1)
Territory [REF_AREA] (1)
Aggregate [DATA_TYPE_AGGR] (1)
Environmental tax category [ENVIRONMENTAL_TAX_CATEG] (1)
Units [UNITS_NA] (1)
Breakdown by industry (NACE Rev.2) [BRKDW_INDUSTRY_NACE_REV2] (1)
CEPA class [CEPA_CLASS] (1)
Earmarking of environmental tax revenue [EARNMARK_ENV_TAX_REV] (3)
Valuation [VALUATION] (1)
Frequency [FREQUENCY] (1)
Edition [EDITION] (7)
This dataset has 17 series:
Series code | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2019M10] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 58735 | 57151 | 57775 | NA | NA | NA | NA |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2020M11] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58701 | NA | NA | NA |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2021M11] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58304 | 50202 | NA | NA |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2022M11] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58299 | 50444 | 53383 | NA |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2022M6] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58299 | 50436 | 53209 | NA |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2023M10] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58299 | 50777 | 54907 | 41533 |
[A.IT.ENVTXEUR.ENV.T_USE._T.TOTAL.TOTAL.V.A.2023M7] | 41857 | 43875 | 44751 | 49888 | 56251 | 55257 | 58070 | 56144 | 59481 | 58000 | 58575 | 58299 | 50516 | 54627 | 41769 |
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