The nexus between greenhouse gases, economic growth, energy and trade openness in Vietnam

被引:20
|
作者
Nguyen, Hop Thi [1 ]
Nguyen, Si Van
Dau, Van-Huan [2 ]
Le, Anh Tuan Huu [3 ,4 ]
Nguyen, Khuong Vinh [3 ,4 ]
Nguyen, Dan Phuoc [5 ,6 ]
Bui, Xuan-Thanh [7 ,8 ]
Bui, Ha Manh [9 ]
机构
[1] Univ Econ Ho Chi Minh City, 59C Nguyen Dinh Chieu St,Ward 6, Ho Chi Minh City 700000, Vietnam
[2] Vietnam Natl Univ Ho Chi Minh City, Sch Med, Linh Trung Ward, Ho Chi Minh City 700000, Vietnam
[3] Dong Nai Technol Univ, Trang Dai Ward, 5d Nguyen Khuyen St, Bien Hoa 760000, Dong Nai, Vietnam
[4] Univ Econ & Law, Fac Accounting & Auditing, Ho Chi Minh City 700000, Vietnam
[5] Vietnam Natl Univ, Ho Chi Minh City 700000, Vietnam
[6] Ho Chi Minh City Univ Technol HCMUT, Ctr Asiat Rech Eau CARE, Ho Chi Minh City 700000, Vietnam
[7] Ho Chi Minh City Univ Technol HCMUT, Vietnam Natl Univ Ho Chi Minh VNU HCM, Key Lab Adv Waste Treatment Technol, Linh Trung ward, Ho Chi Minh City 700000, Vietnam
[8] Ho Chi Minh City Univ Technol HCMUT, Fac Environm & Nat Resources, 268 Ly Thuong Kiet St, Ho Chi Minh City 700000, Vietnam
[9] Saigon Univ, Dept Environm Sci, 273 Duong Vuong St, Ho Chi Minh City 700000, Vietnam
关键词
Greenhouse gas; Fossil energy; Renewable energy; Trade openness; Vietnam; ENVIRONMENTAL KUZNETS CURVE; PANEL COINTEGRATION; CO2; EMISSIONS; CONSUMPTION; INCOME; COUNTRIES; IMPACT; TIME;
D O I
10.1016/j.eti.2022.102912
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
This study explores the nexus between greenhouse gases (GHG) with economic growth (GDP), fossil fuel consumption (FEC), renewable energy (REC) and trade openness (TRO) in Vietnam by using the panel ARDL approach from 1980 to 2018 through the data set retrieved from the World Bank (2022). The results show that all four factors impact GHG emissions, in which GDP has the most substantial impact, followed by REC, FEC and TRO in the first-order model. While GDP, FEC and TRO have positive effects on GHG emission, REC indicates a negative effect, which means that more REC could reduce the release of GHG. However, the coefficient of this factor is only -0.311 compared to 0.622 of GDP at the same 1% significance level. The selected model seems to fit the investigated data with an adjusted R2 of approximately 0.929. The results also demonstrate that the second and third forms of GDP to GHG emissions are unsuitable for the data. Based on the analysis results, the study also proposes some policy implications which reduce the intensity of GHG but still promote economic growth as follows: (1) reduce greenhouse gas emissions the contribution to GDP growth such as industry, construction, transport, agriculture, tourism services which green technology; (2) reduce the use of fossil energy and replace it with renewable energy sources; (3) perfecting the legal framework to encourage economic sectors and businesses to effectively use natural resources, especially re-valuing the cost of carbon emissions. (c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:12
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