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Correlation between nitrous oxide emissions and economic growth in Vietnam: An autoregressive distributed lag analysis
被引:8
|作者:
Bui, Ha Manh
[1
]
Nguyen, Si Van
[2
]
Huynh, An The
[3
]
Bui, Hiep Nghia
[4
]
Nguyen, Ha Thai Tran
[5
]
Perng, Yuan Shing
[6
]
Bui, Xuan-Thanh
[7
,8
,9
]
Nguyen, Hop Thi
[2
,10
]
机构:
[1] Saigon Univ, Ho Chi Minh City 700000, Vietnam
[2] Univ Econ Ho Chi Minh City, 59C Nguyen Dinh Chieu St,Ward 6,Dist 3, Ho Chi Minh City 700000, Vietnam
[3] Thu Dau Mot Univ, Dept Management Sci, Binh Duong 590000, Vietnam
[4] Inst Mat & Environm, Ho Chi Minh City 700000, Vietnam
[5] Saigon Univ, Fac Finance & Accounting, Ho Chi Minh City 700000, Vietnam
[6] Natl Chung Hsing Univ, Dept Forestry, Taichung 40227, Taiwan
[7] Ho Chi Minh City Univ Technol HCMUT, Key Lab Adv Waste Treatment Technol, 268 Ly Thuong Kiet St,Dist 10, Ho Chi Minh City, Vietnam
[8] Ho Chi Minh City Univ Technol HCMUT, Fac Environm & Nat Resources, 268 Ly Thuong Kiet St,Dist 10, Ho Chi Minh City, Vietnam
[9] Vietnam Natl Univ Ho Chi Minh City VNU HCM, Ho Chi Minh City 700000, Vietnam
[10] Vietnam Natl Univ Ho Chi Minh City, Sch Med, Ho Chi Minh City 700000, Vietnam
关键词:
Autoregressive distributed lag;
N2O gas;
Gross domestic product;
Foreign direct investment;
Trade openness;
Vietnam;
CARBON-DIOXIDE EMISSIONS;
ENVIRONMENTAL KUZNETS CURVE;
ENERGY-CONSUMPTION;
TIME-SERIES;
UNIT-ROOT;
INCOME;
IMPACT;
NEXUS;
D O I:
10.1016/j.eti.2022.102989
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:
In this study, a panel autoregressive distributed lag (ARDL) approach was employed to investigate the nexus between N2O emissions and economic growth in Vietnam with respect to six parameters, i.e., gross domestic product (GDP), foreign direct investment (FDI), gross fixed capital formation (GDI), industry (IND), services (SEV), and trade openness (TRO), respectively, from 1994 to 2018. The obtained results revealed that all factors impact N2O emissions and that the increase in GDP, IND, and FDI could reduce the emissions, with coefficients of -0.011, -0.022, and -0.015, respectively. On the other hand, GDI, SEV, and TRO significantly increased the N2O emissions, with coefficients of 0.015, 0.006, and 0.001, respectively. The adjusted regression of this model was 0.982. Based on the analysis results, the study also proposed some policy implications as follows, which reduce the intensity of N2O emissions while simultaneously promoting economic growth: (1) Reduce SEV and TRO toward the contribution to GDP growth, such as IND, construction, transport, agriculture, and tourism SEV; (2) increase the use of IND and GDI; and (3) perfect 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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