Home > Research > Publications & Outputs > Exploring the response of regional metabolism t...

Research

Links

Text available via DOI:

Keywords

View graph of relations

Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China. / Wu, Y.; Cao, L.; Liu, Y.
In: Ecological Indicators, Vol. 152, 110337, 31.08.2023.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Wu, Y, Cao, L & Liu, Y 2023, 'Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China', Ecological Indicators, vol. 152, 110337. https://doi.org/10.1016/j.ecolind.2023.110337

APA

Wu, Y., Cao, L., & Liu, Y. (2023). Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China. Ecological Indicators, 152, Article 110337. https://doi.org/10.1016/j.ecolind.2023.110337

Vancouver

Wu Y, Cao L, Liu Y. Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China. Ecological Indicators. 2023 Aug 31;152:110337. Epub 2023 May 20. doi: 10.1016/j.ecolind.2023.110337

Author

Wu, Y. ; Cao, L. ; Liu, Y. / Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China. In: Ecological Indicators. 2023 ; Vol. 152.

Bibtex

@article{76f7d37ddf8447afbbc5859bfb191daf,
title = "Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China",
abstract = "China's population and carbon emissions will reach two peaks in 2030. Especially in the late stage of demographic dividend, it is necessary to revisit the relationship between population and energy. Metabolism is a critical perspective to help understand the population-energy relationship. This paper establishes a new paradigm for assessing the impact of population quality change on regional metabolism based on panel data from 2003 to 2019 in China. We measure the population quality index (PQI) using the Projection Pursuit method from four aspects and regional metabolic efficiency (RME) using emergy analysis and Index-DEA. Then, the Tobit model is used to explore the impact of population quality change on regional metabolism from a multi-scale perspective. The results show that the influence has some variability at different scales. From the total sample, the response of regional metabolism to population quality is significantly positive. For different PQI regions, the RME has a positive response to PQI in both, but this response is more obvious in advanced PQI regions. For regions in different locations, RME has positive response to PQI in both East and West, but there is no obvious response in the Central. These findings are closely related to global sustainable development.",
keywords = "Population quality index, Regional metabolism, Regional heterogeneity, Tobit model",
author = "Y. Wu and L. Cao and Y. Liu",
year = "2023",
month = aug,
day = "31",
doi = "10.1016/j.ecolind.2023.110337",
language = "English",
volume = "152",
journal = "Ecological Indicators",
issn = "1470-160X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Exploring the response of regional metabolism to population quality change in the late demographic dividend - Evidence from China

AU - Wu, Y.

AU - Cao, L.

AU - Liu, Y.

PY - 2023/8/31

Y1 - 2023/8/31

N2 - China's population and carbon emissions will reach two peaks in 2030. Especially in the late stage of demographic dividend, it is necessary to revisit the relationship between population and energy. Metabolism is a critical perspective to help understand the population-energy relationship. This paper establishes a new paradigm for assessing the impact of population quality change on regional metabolism based on panel data from 2003 to 2019 in China. We measure the population quality index (PQI) using the Projection Pursuit method from four aspects and regional metabolic efficiency (RME) using emergy analysis and Index-DEA. Then, the Tobit model is used to explore the impact of population quality change on regional metabolism from a multi-scale perspective. The results show that the influence has some variability at different scales. From the total sample, the response of regional metabolism to population quality is significantly positive. For different PQI regions, the RME has a positive response to PQI in both, but this response is more obvious in advanced PQI regions. For regions in different locations, RME has positive response to PQI in both East and West, but there is no obvious response in the Central. These findings are closely related to global sustainable development.

AB - China's population and carbon emissions will reach two peaks in 2030. Especially in the late stage of demographic dividend, it is necessary to revisit the relationship between population and energy. Metabolism is a critical perspective to help understand the population-energy relationship. This paper establishes a new paradigm for assessing the impact of population quality change on regional metabolism based on panel data from 2003 to 2019 in China. We measure the population quality index (PQI) using the Projection Pursuit method from four aspects and regional metabolic efficiency (RME) using emergy analysis and Index-DEA. Then, the Tobit model is used to explore the impact of population quality change on regional metabolism from a multi-scale perspective. The results show that the influence has some variability at different scales. From the total sample, the response of regional metabolism to population quality is significantly positive. For different PQI regions, the RME has a positive response to PQI in both, but this response is more obvious in advanced PQI regions. For regions in different locations, RME has positive response to PQI in both East and West, but there is no obvious response in the Central. These findings are closely related to global sustainable development.

KW - Population quality index

KW - Regional metabolism

KW - Regional heterogeneity

KW - Tobit model

U2 - 10.1016/j.ecolind.2023.110337

DO - 10.1016/j.ecolind.2023.110337

M3 - Journal article

VL - 152

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

M1 - 110337

ER -