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Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data

With frequent trade and technology diffusion, the barriers between regions are gradually weakening, and regions have become more integrated over recent years. Regional economic integration not only stimulates labour mobility, but also achieve scale economy, both of which may also influence carbon di...

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Detalles Bibliográficos
Autores principales: He, Weijun, Wang, Bo, Danish, Wang, Zhaohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112461/
https://www.ncbi.nlm.nih.gov/pubmed/32287515
http://dx.doi.org/10.1016/j.eneco.2018.06.010
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author He, Weijun
Wang, Bo
Danish
Wang, Zhaohua
author_facet He, Weijun
Wang, Bo
Danish
Wang, Zhaohua
author_sort He, Weijun
collection PubMed
description With frequent trade and technology diffusion, the barriers between regions are gradually weakening, and regions have become more integrated over recent years. Regional economic integration not only stimulates labour mobility, but also achieve scale economy, both of which may also influence carbon dioxide (CO(2)) marginal abatement costs through affecting energy consumption, CO(2) emissions, productivity growth, and technical progress. Nevertheless, to the best of our knowledge, none of the studies has currently concerned the influence of regional economic integration on CO(2) marginal abatement costs. To fill this research gap, this study first theoretically clarifies the influence mechanism of regional economic integration on CO(2) marginal abatement cost, and then empirically attempts to investigate their relationship in the context of China, with panel data models. To serve this purpose, the provincial CO(2) marginal abatement cost and regional economic integration are estimated by parametric directional distance function and price-based approach, respectively. The results show that China's regional economic integration level indeed gradually improved over 2002–2011 except in 2003–04 and 2006–09 due to the spread of Severe Acute Respiratory Syndrome (SARS) and the sub-prime loan crisis. Moreover, evolution of regional economic integration indeed contributes to the increase of CO(2) marginal abatement cost at 5% significance level. Using robust tests, it can be found that the results are also reliable and robust to sub-samples.
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spelling pubmed-71124612020-04-02 Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data He, Weijun Wang, Bo Danish Wang, Zhaohua Energy Econ Article With frequent trade and technology diffusion, the barriers between regions are gradually weakening, and regions have become more integrated over recent years. Regional economic integration not only stimulates labour mobility, but also achieve scale economy, both of which may also influence carbon dioxide (CO(2)) marginal abatement costs through affecting energy consumption, CO(2) emissions, productivity growth, and technical progress. Nevertheless, to the best of our knowledge, none of the studies has currently concerned the influence of regional economic integration on CO(2) marginal abatement costs. To fill this research gap, this study first theoretically clarifies the influence mechanism of regional economic integration on CO(2) marginal abatement cost, and then empirically attempts to investigate their relationship in the context of China, with panel data models. To serve this purpose, the provincial CO(2) marginal abatement cost and regional economic integration are estimated by parametric directional distance function and price-based approach, respectively. The results show that China's regional economic integration level indeed gradually improved over 2002–2011 except in 2003–04 and 2006–09 due to the spread of Severe Acute Respiratory Syndrome (SARS) and the sub-prime loan crisis. Moreover, evolution of regional economic integration indeed contributes to the increase of CO(2) marginal abatement cost at 5% significance level. Using robust tests, it can be found that the results are also reliable and robust to sub-samples. Elsevier B.V. 2018-08 2018-06-19 /pmc/articles/PMC7112461/ /pubmed/32287515 http://dx.doi.org/10.1016/j.eneco.2018.06.010 Text en © 2018 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
He, Weijun
Wang, Bo
Danish
Wang, Zhaohua
Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title_full Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title_fullStr Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title_full_unstemmed Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title_short Will regional economic integration influence carbon dioxide marginal abatement costs? Evidence from Chinese panel data
title_sort will regional economic integration influence carbon dioxide marginal abatement costs? evidence from chinese panel data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112461/
https://www.ncbi.nlm.nih.gov/pubmed/32287515
http://dx.doi.org/10.1016/j.eneco.2018.06.010
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