Comparing long monthly Chinese and selected European temperature series using the Vector Seasonal Shifting Mean and Covariance Autoregressive model

A-Tier
Journal: Energy Economics
Year: 2021
Volume: 97
Issue: C

Authors (4)

He, Changli (not in RePEc) Kang, Jian (not in RePEc) Teräsvirta, Timo (Aarhus Universitet) Zhang, Shuhua (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The purpose of this paper is to study differences in long monthly Asian and European temperature series. The longest available Asian series are those of Beijing and Shanghai, and they are compared with the ones for St Petersburg, Dublin and Uccle that have a rather different climate. The comparison is carried out in the Vector Shifting Mean and Covariance Autoregressive model that the authors have previously used to analyse 20 long European temperature series. This model gives information about mean shifts in these five temperature series as well as (error) correlations between them. The results suggest, among other things, that warming has begun later in China than in Europe, but that the change in the summer months in both Beijing and Shanghai has been quite rapid.

Technical Details

RePEc Handle
repec:eee:eneeco:v:97:y:2021:i:c:s0140988321000761
Journal Field
Energy
Author Count
4
Added to Database
2026-01-29