Evidence map›Paper›PMID 42819588›Full record

ArticleJournal of the Royal Society of New Zealand2026

From Lockdowns to Red Lights: Behavioural Shifts and Structural Breaks in Electricity Demand in New Zealand.

Mingjing Dong, Le Wen, Mingyue Selena Sheng, Yayu Gao, Daniel Sloot, Kristin Limbach, Wolf Fichtner

Abstract read
In one paragraph

Article in Journal of the Royal Society of New Zealand, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mingjing DongDepartment of Economics Business School University of Auckland Auckland New Zealand.ORCID https://orcid.org/0009-0007-3212-5544
Le WenDepartment of Economics Business School University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0002-6873-0582
Mingyue Selena ShengEnergy Centre Business School University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0001-9027-1485
Yayu GaoSchool of Green Energy and Storage Lanzhou University of Technology Lanzhou China.ORCID https://orcid.org/0000-0002-1954-2171
Daniel SlootFrench-German Institute for Environmental Research, Institute for Industrial Production Karlsruhe Institute of Technology Karlsruhe Germany.ORCID https://orcid.org/0000-0002-7351-4307
Kristin LimbachFrench-German Institute for Environmental Research, Institute for Industrial Production Karlsruhe Institute of Technology Karlsruhe Germany.ORCID https://orcid.org/0000-0002-3365-9595
Wolf FichtnerFrench-German Institute for Environmental Research, Institute for Industrial Production Karlsruhe Institute of Technology Karlsruhe Germany.ORCID https://orcid.org/0000-0001-6013-4674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic prompted governments worldwide to implement containment measures, disrupting economic activity and electricity demand. In New Zealand, two key policy frameworks-the Alert System and the COVID-19 Protection Framework (Traffic Lights)-were introduced over nearly 3 years. This study applies an augmented ARMA model, supplemented by descriptive analysis and cumulative sum tests, to estimate stage-specific associations between containment settings and changes in national electricity demand from 28 February 2021 to 31 July 2023. The ARMA estimates indicate that Alert Level 1 was associated with a 3% increase in electricity demand and the Red Light phase with a 2.5% decline. The two estimates were statistically significant at the 5% and 10% levels, respectively, whereas coefficients for the remaining containment stages were not statistically significant. Cumulative sum tests provided evidence of structural breaks during Alert Level 1 and the Orange Light phase. The study also documents a downward trend following the removal of containment measures and shifts in daily and weekly usage patterns, offering insights for electricity demand management, infrastructure planning and energy policy under future disruptions.

Indexed as

alert levelcontainment measuresCOVID‐19electricity demandpre‐ and post‐COVIDTraffic Light

Identifiers

PMID42819588
PMCPMC13626151

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.