International trade and environmental performance in top ten-emitters countries: The role of eco-innovation and renewable energy consumption

被引:163
作者
Ali, Shahid [1 ]
Dogan, Eyup [2 ,3 ]
Chen, Fuzhong [4 ]
Khan, Zeeshan [5 ]
机构
[1] Univ Swat, Dept Econ, Khyber Pakhtunkhwa, Pakistan
[2] Univ Sharjah, Dept Finance & Econ, Sharjah, U Arab Emirates
[3] Abdullah Gul Univ, Dept Econ, Kayseri, Turkey
[4] Univ Int Business & Econ, Sch Int Trade & Econ, Beijing, Peoples R China
[5] Tsinghua Univ, Sch Econ & Management SEM, Beijing, Peoples R China
基金
中国国家自然科学基金; 国家教育部科学基金资助;
关键词
consumption‐ and territory‐ based carbon emissions; eco‐ innovation; CSARDL; KUZNETS CURVE HYPOTHESIS; CO2; EMISSIONS; REDUCTION EVIDENCE; EMPIRICAL-EVIDENCE; PANEL; POLICY; GROWTH;
D O I
10.1002/sd.2153
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
The global economy is rising continuously, with a 3-4% aggregate annual growth in output, which poses a severe threat to the environment due to a consistent rise in the use of fossil fuel. Given the disastrous climate change due to the industrialization and increasingly growing demands for energy, countries around the globe are devising strategies to curb the release of greenhouse gases. This study examines the role of environmental innovation, trade, and renewable energy consumption in the nexus between trade and CO2 emissions for top 10 carbon emitter countries. The results suggest that there is evidence of cross-sectional dependency, and models are suffered from slope heterogeneity problem test popularized by Pesaran and Yamagata. The results of Westerlund cointegration method suggest that in there is long equilibrium relationship among CO2 emissions and other variables such as environmental innovation, trade, and renewable energy consumption and income. The results of cross-sectionally augment autoregressive distributed lags (CS-ARDL) method suggest that in the long run, environmental innovation, trade, and renewable energy consumption and income are important factors in explaining consumption-based carbon emission and territory-based carbon emission.
引用
收藏
页码:378 / 387
页数:10
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  • [1] Consumption-based carbon accounting: does it have a future?
    Afionis, Stavros
    Sakai, Marco
    Scott, Kate
    Barrett, John
    Gouldson, Andy
    [J]. WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2017, 8 (01)
  • [2] Biomass energy, technological progress and the environmental Kuznets curve: Evidence from selected European countries
    Ahmed, Ali
    Uddin, Gazi Salah
    Sohag, Kazi
    [J]. BIOMASS & BIOENERGY, 2016, 90 : 202 - 208
  • [3] Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy
    Al-Mulali, Usama
    Ozturk, Ilhan
    Solarin, Sakiru Adebola
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  • [4] The investigation of environmental Kuznets curve hypothesis in the advanced economies: The role of energy prices
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    Ozturk, Ilhan
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 : 1622 - 1631
  • [5] Alam M., 2002, FARMING PRACTICES SU, P155
  • [6] Dynamic impact of trade policy, economic growth, fertility rate, renewable and non-renewable energy consumption on ecological footprint in Europe
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    Bekun, Festus Victor
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    Alvarez-Herranz, Agustin
    Balsalobre-Lorente, Daniel
    Shahbaz, Muhammad
    Maria Cantos, Jose
    [J]. ENERGY POLICY, 2017, 105 : 386 - 397
  • [8] [Anonymous], 2013, 4232 CESIFO
  • [9] Environmental strategy and performance in small firms:: A resource-based perspective
    Aragon-Correa, J. Alberto
    Hurtado-Torres, Nuria
    Sharma, Sanjay
    Garcia-Morales, Victor J.
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  • [10] Testing the environmental Kuznets curve hypothesis across the US: Evidence from panel mean group estimators
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