Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions

被引:102
|
作者
Rios, Vicente [1 ]
Gianmoena, Lisa [2 ]
机构
[1] Univ Publ Navarra, Dept Econ, Campus Univ, Navarra 31009, Spain
[2] Univ Pisa, Dept Econ & Management, Casino Ridolfi 10, I-56124 Pisa, Italy
关键词
Dynamic spatial panels; Spatial Green Solow model; CO2; emissions; Convergence; CARBON-DIOXIDE EMISSIONS; ENVIRONMENTAL KUZNETS CURVE; DYNAMIC PANEL-DATA; ENERGY-CONSUMPTION; EMPIRICAL-EVIDENCE; AIR-POLLUTION; GROWTH-MODELS; TRADE GOOD; DEMOCRACY; IMPACT;
D O I
10.1016/j.eneco.2018.08.009
中图分类号
F [经济];
学科分类号
02 ;
摘要
This research analyzes the evolution of CO2 emissions per capita in a sample of 141 countries during the period 1970-2014. The study develops a spatially augmented Green Solow model by taking into consideration technological externalities and interdependence in the process of production, which ultimately implies that CO2 emissions in an economy are affected by the economic characteristics in neighboring countries. The empirical model predicts convergence in CO2 emissions among countries which is examined by means of modern dynamic spatial panel econometric techniques. The multimodal distribution of the CO2 emissions is consistent with the existence of three spatial clubs. The space-time dynamics of the three clubs are analyzed by means of the Local Directional Moran Scatterplot and spatial panel model with heterogeneous parameters. Our analysis reveals the hypothesis of spatial convergence clubs is more consistent with the data than the hypothesis of conditional convergence. (C) 2018 Elsevier B.V. All rights reserved.
引用
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页码:222 / 238
页数:17
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