Heterogeneous impacts of renewable energy and environmental patents on CO2 emission - Evidence from the BRIICS

被引:326
作者
Cheng, Cheng [1 ]
Ren, Xiaohang [2 ]
Wang, Zhen [3 ]
Yan, Cheng [4 ]
机构
[1] Shanxi Univ Finance & Econ, Sch Management Sci & Engn, 696 Wucheng Rd, Taiyuan 030006, Shanxi, Peoples R China
[2] Univ Southampton, Sch Math Sci, Southampton SO17 1BJ, Hants, England
[3] China Univ Petr, Acad Chinese Energy Strategy, 18 Fuxue Rd, Beijing 102249, Peoples R China
[4] Essex Business Sch, Colchester CO4 3SQ, Essex, England
基金
中国国家自然科学基金;
关键词
BRIICS; CO2; emissions; Environmental patent; Panel quantile regression; Renewable energy; UNIT-ROOT TESTS; ECONOMIC-GROWTH; PANEL-DATA; KUZNETS CURVE; NATURAL-GAS; EMPIRICAL-ANALYSIS; CARBON EMISSIONS; DYNAMIC LINKAGES; FRESH EVIDENCE; POWER-PLANTS;
D O I
10.1016/j.scitotenv.2019.02.063
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study explores the impacts of renewable energy, environmental patents, economic growth and other variables on the CO2 emission per capita from 2000 to 2013 for the BRIICS countries. Using both the panel OLS methods and panel quantile regression method, we find that the effects of the determinant variables are heterogeneous across quantiles. Specifically, renewable energy supply reduces CO2 emissions per capita, with the strongest effect at the 95th quantile. Development of environmental patents accelerates carbon emissions per capita, but only significantly affects the CO2 emissions per capita at the upper tail of the conditional distribution. GDP per capita enhances CO2 emissions per capita, with the most substantial effect in the 5th quantile. Exports increase carbon emissions per capita with an asymmetric inverted U-sharped impact. Foreign direct investment reduces carbon emissions per capita, but only significantly influences the carbon emissions per capita at the medium and upper of the conditional distribution. Domestic credit to private sectors raises carbon emissions per capita with gradually decreasing impacts along all quantiles. We propose several policy recommendations based on the results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:1328 / 1338
页数:11
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