This repository features prices of the New Zealand emission unit or NZU. The NZU is the "the primary domestic unit of trade" in the New Zealand Emissions Trading Scheme.
The prices are web-scraped via a Python script api.py and saved to a .csv file nzu-edited-raw-prices-data.csv.
The prices are then processed in the R programming language via a R script file nzu.r into data sets of;
- average monthly prices
- average weekly prices (with missing values)
- average weekly prices (with the missing values filled by linear interpolation)
- spot prices (with missing values).
- spot prices (with the missing values filled by linear interpolation)
- 31 day rolling mean of the infilled spot prices
These sets of price data are then charted in R Ggplot2.
This graph is the mean price for each calendar month.
This graph is the mean price for each week. The missing values are infilled via linear interpolation
This graph is the spot prices of trading on week days. It is an irregular time series. When trading of units started in 2010, the volume of trades was sufficiently low that several days or weeks could pass by without any trading.
This graph is the spot prices of trading on week days. The missing values are filled via linear interpolation. It is almost a regular time series.
This graph is the 31 day rolling mean of the infilled spot prices of unit trading on week days.
This graph displays the spot prices from November 2022 to December 2023. I have marked with blue dashed horizontal lines two dates where Government announcements 'surprised' the market and the price changed sharply. The first was on 16 December 2022, when the Labour Government decided not to follow the price advice from the Climate Change Commission Price of carbon plummets in response to Cabinet rejection of Climate Change Commission recommendations.
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This graph is the spot prices from December 2022 to December 2023. Blue dashed horizontal lines mark the dates of the quarterly NZU auctions. The December 2022 auction met it's reserve price. The four 2023 auctions did not meet the reserve price and no units were sold.
This is the plot of the spot prices when expressed in the 'xts' format. It has interesting defaults for the price axis and the date axis and title.
This data package and these datasets and the R scripts are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/. You are free to share, to copy, distribute and use the data, to create or produce works from the data and to adapt, modify, transform and build upon the data, without restriction.