Literature DB >> 28920161

Tapered US carbon emissions during good times: what's old, what's new?

Yoke-Kee Eng1, Chin-Yoong Wong2.   

Abstract

In light of a slow buildup in CO2 emissions since the recovery, this paper revisits the relationship between CO2 emissions and the US economy using a nonlinear autoregressive distributed lag model, in which the determinants are identified through an expanded real business cycle model. We find convincing evidence that CO2 emissions decline more rapidly during recessions than increase during expansions over the long run. Of all determinants considered, long-run asymmetry is fostered once vehicle miles traveled is controlled. This calls for a greater attention to public transportation development and vehicle miles traveled tax for slowing down stock buildup of CO2 emissions during good times.

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Keywords:  CO2 emission; Climate change; Nonlinear ARDL model; Pollution; Public transportation; Real business cycle model; Vehicle miles traveled

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Year:  2017        PMID: 28920161     DOI: 10.1007/s11356-017-0144-6

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


  1 in total

1.  The Environment and Directed Technical Change.

Authors:  Daron Acemoglu; Philippe Aghion; Leonardo Bursztyn; David Hemous
Journal:  Am Econ Rev       Date:  2012-02
  1 in total
  1 in total

1.  Determinants of consumption-based carbon emissions in Chile: an application of non-linear ARDL.

Authors:  Tomiwa Sunday Adebayo; Edmund Ntom Udemba; Zahoor Ahmed; Dervis Kirikkaleli
Journal:  Environ Sci Pollut Res Int       Date:  2021-04-11       Impact factor: 5.190

  1 in total

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