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Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learni...

Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learni...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3153209563

Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach

About this item

Full title

Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach

Publisher

Dordrecht: Springer Netherlands

Journal title

Environmental & resource economics, 2023-10, Vol.86 (1-2), p.203-231

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

We apply a two-step data driven approach to determine the causal impact of the clean air zone (CAZ) policy on air quality in Birmingham, UK. Levels of NO
2
, NO
x
and PM
2.5
before and after CAZ implementation were collected from automatic air quality monitoring sites both within and outside the CAZ. We apply a unique combination...

Alternative Titles

Full title

Assessing the Impacts of Birmingham’s Clean Air Zone on Air Quality: Estimates from a Machine Learning and Synthetic Control Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_3153209563

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3153209563

Other Identifiers

ISSN

0924-6460

E-ISSN

1573-1502

DOI

10.1007/s10640-023-00794-2

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