Responses of carbon emissions to corruption across Chinese provinces
|Authors||Ren, Yi-Shuai, Ma, Chao-Qun, Apergis, Nicholas and Sharp, Basil|
In response to the recent growth of multitudes of theoretical literature analysing the corruption impact on the economy and environment, this paper subjects the corruption–carbon emission relationship in China to a detailed empirical examination through the autoregressive distributed lag modelling approach and panel quantile regressions. Based on panel data from Chinese provinces, spanning the period 1998–2016, this study explores the impact of long- and short-term corruption on per capita carbon emissions by considering the heterogeneous distribution of those emissions. The results document that corruption increases per capita carbon emissions in Chinese provinces in the short run, reducing per capita carbon emissions in the long run. Moreover, an increase in corruption leads to an increase in carbon emissions per capita in all quantiles, indicating that these emissions increase with corruption severity. The coefficients in low quantiles are slightly larger than those in high quantiles, indicating that corruption leads to more carbon emissions in provinces with lower per capita carbon emissions.
|Keywords||General Energy; Economics and Econometrics|
|Journal citation||98, p. 105241|
|Digital Object Identifier (DOI)||https://doi.org/10.1016/j.eneco.2021.105241|
|Web address (URL)||http://hdl.handle.net/10545/625698|
|Publication dates||19 Mar 2021|
|Publication process dates|
|Deposited||09 Apr 2021, 13:56|
|Accepted||12 Mar 2021|
© 2021 Elsevier B.V. All rights reserved.
|Contributors||Hunan University, China, University of Auckland, New Zealand and University of Derby|
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