Department of Economics, Faculty of Business and Finance, Universiti Tunku Abdul Rahman, Jalan Universiti, Bandar Barat, 31900, Kampar, Perak, Malaysia.
Environ Sci Pollut Res Int. 2017 Nov;24(32):25047-25060. doi: 10.1007/s11356-017-0144-6. Epub 2017 Sep 17.
In light of a slow buildup in CO emissions since the recovery, this paper revisits the relationship between CO 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 CO 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 CO emissions during good times.
鉴于复苏以来 CO 排放增长缓慢,本文使用非线性自回归分布滞后模型重新考察了 CO 排放与美国经济之间的关系,其中通过扩展的实际经济周期模型确定了决定因素。我们有令人信服的证据表明,从长期来看,CO 排放在衰退期间下降速度快于扩张期间的增长速度。在所考虑的所有决定因素中,一旦控制了车辆行驶里程,就会促进长期的非对称性。这就要求更加重视公共交通发展和车辆行驶里程税,以便在经济繁荣时期减缓 CO 排放存量的积累。