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CORRECTION article

Front. Environ. Sci., 13 August 2024
Sec. Environmental Economics and Management

Corrigendum: Impact of population mobility on regional carbon emissions: empirical evidence from Australia

  • Business School, University of Technology Sydney, Sydney, NSW, Australia

In the published article, there were errors in the formulas and incorrect interpretation of variables.

A correction has been made to Section: 3 Models and data, Subsection: 3.1 The econometric model and variables, Paragraph 1 and 2. This sentence previously stated:

“This paper proposes the adoption of an econometric model based on panel data to investigate the impact of population mobility on carbon emissions in Australia. It is evident from prior empirical research that employing such an econometric analytical model significantly enhances the reliability of estimation results (Azomahou et al., 2006; Baltagi, 2021). Moreover, this model endeavors to incorporate various control variables to mitigate potential inaccuracies arising from the omission of relevant influencing factors (Halicioglu, 2009; Al-mulali and Sheau-Ting, 2014). Furthermore, recognizing the issue of multicollinearity between domestic and international population mobility within the same econometric framework (Zhong et al., 2021), both variables are included in the empirical analyses within the econometric model. Hence, this paper formulates the following econometric model:

CO2it=α0+α1migintit+α2migdomit+α3Zit+ηit+μit+ξit(1)
CO2it=φ0+φ1migintit+φ2Zit+ηit+μit+ξit(2)
CO2it=φ0+β1migdomit+β2Zit+ηit+μit+ξit(3)

where t is the state, t is the time, φ0 is a constant term and CO2it is the state’s domestic population mobility and international population mobility2, respectively. The explanatory and explanatory variables are logarithmic in the empirical evidence. ξ is denoted as error terms, respectively. In addition, the paper controls for sectoral fixed effects (η) and time fixed effects (μ) to mitigate measurement bias arising from omitted variables (deHaan, deHaan, 2020). Z are control variables.”

The corrected sentence appears below:

This paper proposes the adoption of an econometric model based on panel data to investigate the impact of population mobility on carbon emissions in Australia. It is evident from prior empirical research that employing such an econometric analytical model significantly enhances the reliability of estimation results (Azomahou et al., 2006; Baltagi, 2021). Moreover, this model endeavors to incorporate various control variables to mitigate potential inaccuracies arising from the omission of relevant influencing factors (Halicioglu, 2009; Al-mulali & Sheau-Ting, 2014). Furthermore, recognizing the issue of multicollinearity between domestic and international population mobility within the same econometric framework (Zhong et al., 2021), both variables are included in the empirical analyses within the econometric model. Hence, this paper formulates the following econometric model:

CO2it=α0+α1migintit+α2migdomit+α3Zit+ηi+μt+ξit(1)
CO2it=φ0+φ1migintit+φ2Zit+ηi+μt+ξit(2)
CO2it=φ0+β1migdomit+β2Zit+ηi+μt+ξit(3)

where i is the state, t is the time, φ0 is a constant term and CO2it is the net CO2 emissions1 for the state of i, and mig_intitmig_domit is the state i's international population mobility and domestic population mobility2, respectively. The explanatory and explanatory variables are logarithmic in the empirical evidence. ξ is denoted as error terms, respectively. In addition, the paper controls for time-fixed effects η and sectoral fixed effects μ to mitigate measurement bias arising from omitted variables (deHaan, 2020). Z are control variables.”

The authors apologize for these errors and state that they do not change the scientific conclusions of the article in any way. The original article has been updated.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

1Net CO2 emissions are the amount of carbon dioxide after all emissions released by human activities have been offset by removing carbon from the atmosphere. Net CO2 emissions consist of two main components. Firstly, human-caused CO2 emissions (e.g., from fossil-fuelled cars and factories). Second, carbon removal, which is usually done through natural methods such as absorption by forests, land, and oceans, or through technologies such as direct air capture and storage (DACS), which removes carbon directly from the atmosphere.

2Population mobility in this paper refers to the net inflow of population as a proportion of the total local population, i.e., population inflow minus population outflow divided by the total local population.

Keywords: population mobility, carbon emissions, Australia, heterogeneity, technological innovation

Citation: Guo H (2024) Corrigendum: Impact of population mobility on regional carbon emissions: empirical evidence from Australia. Front. Environ. Sci. 12:1429565. doi: 10.3389/fenvs.2024.1429565

Received: 08 May 2024; Accepted: 29 July 2024;
Published: 13 August 2024.

Edited and reviewed by:

Dan Wang, Tianjin University, China

Copyright © 2024 Guo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Hongbo Guo, guohongboau@126.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.