Atmospheric pollution in Chinese cities : Trends and persistence

This paper applies fractional integration to investigate the behaviour of various pollutants in seven Chinese cities. The objective is to establish if the series exhibit long memory and if time trends are statistically significant over the sample period going from January 2014 to November 2022. The...

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Detalles Bibliográficos
Autores: Caporale, Guglielmo Maria, Carmona-González, Nieves, Alberiko Gil-Alana, Luis
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Francisco de Vitoria
Repositorio:DDFV. Repositorio Institucional de la Universidad Francisco de Vitoria
Idioma:inglés
OAI Identifier:oai:ddfv.ufv.es:10641/7378
Acceso en línea:https://hdl.handle.net/10641/7378
Access Level:acceso abierto
Palabra clave:China
Long-range dependence
Persistence
Pollution
Trends
General
SDG 11 - Sustainable Cities and Communities
Yes
yes
Descripción
Sumario:This paper applies fractional integration to investigate the behaviour of various pollutants in seven Chinese cities. The objective is to establish if the series exhibit long memory and if time trends are statistically significant over the sample period going from January 2014 to November 2022. The results suggest that the steps recently taken by the Chinese authorities to reduce emissions and improve air quality have already had some effect: in most cases the air pollutant series are in the stationary range, with mean reversion occurring and shocks only having temporary effects, and there are significant downward trends indicating a decline over time in the degree of pollution in China. It is also interesting that in the most recent period, the Zero-Covid policy of the Chinese authorities has led to a further fall. On the whole, it would appear that the action plan adopted by the Chinese government is bringing the expected environmental benefits and therefore it is to be hoped that such policies will continue to be implemented and extended to improve air quality even further.