Dataset on green macroprudential regulations and instruments: objectives, implementation and geographical diffusion

Published: 31 Jan 2019 | Version 1 | DOI: 10.17632/9s5pt9dddn.1

Description of this data

The dataset presented in this article is related to the research article “Fostering green investments and tackling climate-related financial risks: which role for macroprudential policies?“ (P. D’Orazio, Popoyan L., 2018) [1]. This data article contains the data gathered when surveying the existing “green” macroprudential regulations and instruments. Official central banks’ documents, as well as financial institutions reports, have been considered. In particular, for the selected high, middle and low-income countries surveyed, the dataset contains information on the type of regulation, the institution responsible for its implementation or promotion, the official reference and the related link to the document as of October 2018. The data set is made publicly available to enable critical or extended analyzes.

Experiment data files

Latest version


Views: 301
Downloads: 54

Previous versions

  • Version 1


    Published: 2019-01-31

    DOI: 10.17632/9s5pt9dddn.1

    Cite this dataset

    DOrazio, Paola; Popoyan, Lilit (2019), “Dataset on green macroprudential regulations and instruments: objectives, implementation and geographical diffusion”, Mendeley Data, v1

Compare to version


Scuola Superiore Sant'Anna Istituto di Economia, Ruhr-Universitat Bochum


Economics, Monetary Economics, Financial Economics, Ecological Economics, Banking Regulation


CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.