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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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Instrument transformers, comprising voltage transformers (VTs) and current transformers (CTs), play crucial roles in power substations by providing isolated replicas of current or voltage for measurement and protection purposes. Voltage transformers reduce the primary voltage to levels suitable for relay operation and measurement, while current transformers scale down the primary current. The primary winding of a current transformer often consists of a single turn, achieved by threading the...
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Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
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Dataset on green macroprudential regulations and instruments: Objectives, implementation and geographical diffusion.

Paola D'Orazio1, Lilit Popoyan2

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Summary

This dataset surveys green macroprudential regulations and instruments across OECD and non-OECD countries. It offers crucial data for understanding the evolving landscape of sustainable finance and central banking practices.

Keywords:
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Area of Science:

  • Environmental Economics
  • Financial Regulation
  • Sustainable Finance

Background:

  • Growing global focus on climate change necessitates integrating environmental considerations into financial stability frameworks.
  • Central banks and financial institutions are increasingly exploring "green" policies and instruments.
  • A comprehensive overview of existing green macroprudential regulations is lacking.

Purpose of the Study:

  • To compile a dataset of existing "green" macroprudential regulations and instruments.
  • To provide a structured overview of the types of regulations, institutional mandates, and responsible bodies.
  • To support research and policy development in sustainable finance and financial stability.

Main Methods:

  • Systematic survey of official central bank documents and financial institution reports.
  • Data collection focused on OECD and non-OECD countries as of February 2019.
  • Information extraction on institutional governance, mandates, regulation types, and responsible institutions.

Main Results:

  • A dataset detailing "green" macroprudential regulations and instruments has been created.
  • Information includes governance, mandates, regulatory types, and implementing bodies for selected countries.
  • The dataset provides official references and links to relevant documentation.

Conclusions:

  • The publicly available dataset facilitates research on the implementation of green prudential requirements.
  • It serves as a valuable resource for policymakers and academics in the field of sustainable finance.
  • The data reflects the dynamic nature of green finance integration within macroprudential frameworks.