Literature DB >> 33569689

The nonlinear impact of fiscal decentralization on carbon emissions: from the perspective of biased technological progress.

Juntao Du1, Yuhuan Sun2.   

Abstract

The impact of Chinese-style fiscal decentralization (FD) on environmental pollution has been studied. Using data from 285 prefecture-level cities across the country from 2003 to 2018. A panel smooth transition regression (PSTR) model of fiscal decentralization's impact on carbon emissions under energy and environmental-biased technology progress is established. The research shows that biased technological progress determines the direction of the impact of FD on carbon emissions. In areas with low level of energy and environmental-biased technological progress, FD increases carbon emissions. FD reduces carbon emissions in areas with higher environmental technology level but increases carbon emissions in areas with higher energy-biased technology progress. This study has theoretical and practical significance for China's decentralization system, biased technological progress, and carbon peak target.

Entities:  

Keywords:  Biased technological progress; Carbon emissions; Fiscal decentralization; Panel smooth transition regression (PSTR) model

Mesh:

Substances:

Year:  2021        PMID: 33569689     DOI: 10.1007/s11356-021-12833-w

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Fiscal Decentralization, Public Health Expenditure and Public Health-Evidence From China.

Authors:  Wangzi Xu; Jia Lin
Journal:  Front Public Health       Date:  2022-05-18

2.  The impact of fiscal decentralization, green energy, and economic policy uncertainty on sustainable environment: a new perspective from ecological footprint in five OECD countries.

Authors:  Samia Zahra; Ramez Abubakr Badeeb
Journal:  Environ Sci Pollut Res Int       Date:  2022-03-19       Impact factor: 5.190

3.  The impact of urban land misallocation on inclusive green growth efficiency: evidence from China.

Authors:  Qin He; Juntao Du
Journal:  Environ Sci Pollut Res Int       Date:  2021-08-14       Impact factor: 4.223

  3 in total

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