Welfare influences of green energy volatility in Vietnam: new evidence from an extended TVP-VAR approach.
An extended TVP-VAR (ETVP-VAR)
Economic welfare
Green energy volatility
Network interlinkages
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
11 Nov 2023
11 Nov 2023
Historique:
received:
15
01
2023
accepted:
29
10
2023
medline:
11
11
2023
pubmed:
11
11
2023
entrez:
11
11
2023
Statut:
aheadofprint
Résumé
We present a study utilizing TVP-VAR - a time-varying parameter vector autoregression combined with an extended joint connectedness approach to examine the interrelationships between welfare and green energy volatility in the system of variables, including economic growth measured by gross domestic product (GDP), rural income, urban income, and renewable energy consumption. We characterize the connectedness of these variables from 19954 to 2019 in Vietnam. Net total directional connectedness of renewable energy consumption and GDP, rural-urban income suggests that both GDP and rural income have constantly been recipients of net contagion shocks, and urban income is a net critical receiver in the period 2001-2010. Renewable energy consumption consistently behaves as an important transmitter of shocks. Pairwise connectedness reveals that renewable energy consumption demonstrates a consistent shock-transmitting behavior for other variables. Renewable energy consumption could be either a transmitter or a receiver of shock from GDP, depending on the period. Our findings are critical since they will help policymakers formulate appropriate policies for reducing the vulnerabilities of these variables and minimizing the spread of risk and uncertainty among them, then improving the individuals' welfare and obtaining ecological sustainability in the case of developing countries.
Identifiants
pubmed: 37950784
doi: 10.1007/s11356-023-30865-2
pii: 10.1007/s11356-023-30865-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Abosedra S, Arayssi M, Ben Sita B, Mutshinda C (2020) Exploring GDP growth volatility spillovers across countries. Econ Model 89:577–589. https://doi.org/10.1016/j.econmod.2019.11.015
doi: 10.1016/j.econmod.2019.11.015
Acaravci A, Ozturk I (2010) On the relationship between energy consumption, CO
doi: 10.1016/j.energy.2010.07.009
Acemoglu D, Carvalho VM, Ozdaglar A, Tahbaz-Salehi A (2012) The network origins of aggregate fluctuations. Econometrica 80(5):1977–2016. https://doi.org/10.3982/ECTA9623
doi: 10.3982/ECTA9623
Adekoya OB, Akinseye AB, Antonakakis N, Chatziantoniou I, Gabauer D, Oliyide J (2022) Crude oil and Islamic sectoral stocks: asymmetric TVP-VAR connectedness and investment strategies. Res Policy 78:102877. https://doi.org/10.1016/j.resourpol.2022.102877
doi: 10.1016/j.resourpol.2022.102877
Akinlo AE (2008) Energy consumption and economic growth: evidence from 11 sub-Sahara African countries. Energy Econ 30(5):2391–2400. https://doi.org/10.1016/j.eneco.2008.01.008
doi: 10.1016/j.eneco.2008.01.008
Al-mulali U, Fereidouni HG, Lee JYM (2014) Electricity consumption from renewable and non-renewable sources and economic growth: evidence from Latin American countries. Renew Sust Energ Rev 30:290–298. https://doi.org/10.1016/j.rser.2013.10.006
doi: 10.1016/j.rser.2013.10.006
Antonakakis N, Cunado J, Filis G, Gabauer D, de Gracia FP (2022) Dynamic connectedness among the implied volatilities of oil prices and financial assets: new evidence of the COVID-19 pandemic. Int Rev Econ Financ. https://doi.org/10.1016/j.iref.2022.08.009
Apergis N, Payne JE (2009) Energy consumption and economic growth in Central America: evidence from a panel cointegration and error correction model. Energy Econ 31(2):211–216. https://doi.org/10.1016/j.eneco.2008.09.002
doi: 10.1016/j.eneco.2008.09.002
Apergis N, Payne JE (2010) Renewable energy consumption and economic growth: evidence from a panel of OECD countries. Energy Policy 38(1):656–660. https://doi.org/10.1016/j.enpol.2009.09.002
doi: 10.1016/j.enpol.2009.09.002
Arslan HM, Khan I, Latif MI, Komal B, Chen S (2022) Understanding the dynamics of natural resources rents, environmental sustainability, and sustainable economic growth: new insights from China. Environ Sci Pollut Res 29(39):58746–58761. https://doi.org/10.1007/s11356-022-19952-y
doi: 10.1007/s11356-022-19952-y
Asai M, Gupta R, McAleer M (2020) Forecasting volatility and co-volatility of crude oil and gold futures: effects of leverage, jumps, spillovers, and geopolitical risks. Int J Forecast 36(3):933–948. https://doi.org/10.1016/j.ijforecast.2019.10.003
doi: 10.1016/j.ijforecast.2019.10.003
Atasoy BS (2017) The determinants of export sophistication: does digitalization matter? Int J Finance Econ. https://doi.org/10.1002/ijfe.2058
Awerbuch S, Sauter R (2006) Exploiting the oil–GDP effect to support renewables deployment. Energy Policy 34(17):2805–2819. https://doi.org/10.1016/j.enpol.2005.04.020
doi: 10.1016/j.enpol.2005.04.020
Balcilar M, Gabauer D, Umar Z (2021) Crude oil futures contracts and commodity markets: new evidence from a TVP-VAR extended joint connectedness approach. Res Pol 73:102219. https://doi.org/10.1016/j.resourpol.2021.102219
Bouri E, Lucey B, Saeed T, Vo XV (2021) The realized volatility of commodity futures: interconnectedness and determinants#. Int Rev Econ Financ 73:139–151. https://doi.org/10.1016/j.iref.2021.01.006
doi: 10.1016/j.iref.2021.01.006
Bowden N, Payne JE (2010) Sectoral analysis of the causal relationship between renewable and non-renewable energy consumption and real output in the US. Energy Sources B: Econ Plan Policy 5(4):400–408. https://doi.org/10.1080/15567240802534250
doi: 10.1080/15567240802534250
Broadstock DC, Zhang D (2019) Social-media and intraday stock returns: the pricing power of sentiment. Financ Res Lett 30:116–123. https://doi.org/10.1016/j.frl.2019.03.030
doi: 10.1016/j.frl.2019.03.030
Cai Y, Zhang D, Chang T, Lee C-C (2022) Macroeconomic outcomes of OPEC and non-OPEC oil supply shocks in the euro area. Energy Econ 109:105975. https://doi.org/10.1016/j.eneco.2022.105975
doi: 10.1016/j.eneco.2022.105975
Chang T-H, Huang C-M, Lee M-C (2009) Threshold effect of the economic growth rate on the renewable energy development from a change in energy price: evidence from OECD countries. Energy Policy 37(12):5796–5802. https://doi.org/10.1016/j.enpol.2009.08.049
doi: 10.1016/j.enpol.2009.08.049
Chatziantoniou I, Abakah EJA, Gabauer D, Tiwari AK (2022) Quantile time–frequency price connectedness between green bond, green equity, sustainable investments and clean energy markets. J Clean Prod 361:132088. https://doi.org/10.1016/j.jclepro.2022.132088
doi: 10.1016/j.jclepro.2022.132088
Chen Y, Lin B (2020) Slow diffusion of renewable energy technologies in China: an empirical analysis from the perspective of innovation system. J Clean Prod 261:121186. https://doi.org/10.1016/j.jclepro.2020.121186
doi: 10.1016/j.jclepro.2020.121186
Chien T, Hu J-L (2007) Renewable energy and macroeconomic efficiency of OECD and non-OECD economies. Energy Policy 35(7):3606–3615. https://doi.org/10.1016/j.enpol.2006.12.033
doi: 10.1016/j.enpol.2006.12.033
Chien T, Hu J-L (2008) Renewable energy: an efficient mechanism to improve GDP. Energy Policy 36(8):3045–3052. https://doi.org/10.1016/j.enpol.2008.04.012
doi: 10.1016/j.enpol.2008.04.012
Diebold FX, Yilmaz K (2009) Measuring financial asset return and volatility spillovers, with application to global equity markets*. Econ J 119(534):158–171. https://doi.org/10.1111/j.1468-0297.2008.02208.x
doi: 10.1111/j.1468-0297.2008.02208.x
Diebold FX, Yilmaz K (2012) Better to give than to receive: predictive directional measurement of volatility spillovers. Int J Forecast 28(1):57–66. https://doi.org/10.1016/j.ijforecast.2011.02.006
doi: 10.1016/j.ijforecast.2011.02.006
Domac J, Richards K, Risovic S (2005) Socio-economic drivers in implementing bioenergy projects. Biomass Bioenergy 28(2):97–106. https://doi.org/10.1016/j.biombioe.2004.08.002
doi: 10.1016/j.biombioe.2004.08.002
Elliott G, Rothenberg TJ, Stock JH (1996) Efficient tests for an autoregressive unit root. Econometrica 64(4):813–836. https://doi.org/10.2307/2171846
doi: 10.2307/2171846
Ewing BT, Sari R, Soytas U (2007) Disaggregate energy consumption and industrial output in the United States. Energy Policy 35(2):1274–1281. https://doi.org/10.1016/j.enpol.2006.03.012
doi: 10.1016/j.enpol.2006.03.012
Fang Y (2011) Economic welfare impacts from renewable energy consumption: The China experience. Renew Sust Energ Rev 15(9):5120–5128. https://doi.org/10.1016/j.rser.2011.07.044
doi: 10.1016/j.rser.2011.07.044
Ferhi A, Helali K (2023) The impact of renewable energy on the environment and socio-economic welfare: empirical evidence from OECD Countries. J Knowl Econ. https://doi.org/10.1007/s13132-023-01320-x
Gnangnon SK (2020) Impact of the volatility of resource revenue on non-resource revenue volatility. J Econ Dev 23(2):102–115. https://doi.org/10.1108/JED-07-2020-0094
doi: 10.1108/JED-07-2020-0094
Gozgor G, Mahalik MK, Demir E, Padhan H (2020) The impact of economic globalization on renewable energy in the OECD countries. Energy Policy 139:111365. https://doi.org/10.1016/j.enpol.2020.111365
doi: 10.1016/j.enpol.2020.111365
Guan J, Kirikkaleli D, Bibi A, Zhang W (2020) Natural resources rents nexus with financial development in the presence of globalization: is the “resource curse” exist or myth? Res Policy 66:101641. https://doi.org/10.1016/j.resourpol.2020.101641
doi: 10.1016/j.resourpol.2020.101641
Ha LT (2022a) Are digital business and digital public services a driver for better energy security? Evidence from a European sample. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-17843-2
Ha LT (2022b) Effects of digitalization on financialization: empirical evidence from European countries. Technol Soc 68:101851. https://doi.org/10.1016/j.techsoc.2021.101851
doi: 10.1016/j.techsoc.2021.101851
Ha LT (2023a) A wavelet analysis of dynamic connectedness between geopolitical risk and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-26033-1
Ha LT (2023b) An application of Bayesian vector heterogeneous autoregressions to study network interlinkages of the crude oil and gold, stock, and cryptocurrency markets during the COVID-19 outbreak. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-023-27069-z
Ha LT, Nam PX, Thanh TT (2021) Effects of bribery on firms’ environmental innovation adoption in Vietnam: mediating roles of firms’ bargaining power and credit and institutional constraints. Ecol Econ 185:107042. https://doi.org/10.1016/j.ecolecon.2021.107042
doi: 10.1016/j.ecolecon.2021.107042
Ha LT, Nham NTH (2022) An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technol Forecast Soc Chang 183:121909. https://doi.org/10.1016/j.techfore.2022.121909
doi: 10.1016/j.techfore.2022.121909
Ha LT, Thanh TT, Linh VM (2022) An exploration of sources of volatility in the energy market: an application of a TVP-VAR extended joint connected approach. Sustain Energy Technol Assess 53:102448. https://doi.org/10.1016/j.seta.2022.102448
doi: 10.1016/j.seta.2022.102448
Hao Y, Wang L-O, Lee C-C (2020) Financial development, energy consumption and China’s economic growth: new evidence from provincial panel data. Int Rev Econ Financ 69:1132–1151. https://doi.org/10.1016/j.iref.2018.12.006
doi: 10.1016/j.iref.2018.12.006
Hart MCG, Eckhoff S, Breitner MH (2023) Tool-based renewable energy system planning using survey data: a case study in rural Vietnam. Environ Dev Sustain. https://doi.org/10.1007/s10668-023-03120-4
Horbach J (2008) Determinants of environmental innovation—new evidence from German panel data sources. Res Policy 37(1):163–173. https://doi.org/10.1016/j.respol.2007.08.006
doi: 10.1016/j.respol.2007.08.006
Huong TTL, Ha LT (2023) A comprehensive analysis of the correlation between foreign aid and energy security in emerging countries: does institutional quality matter? Econ Anal Policy 77:952–968. https://doi.org/10.1016/j.eap.2023.01.007
doi: 10.1016/j.eap.2023.01.007
Huyen NTT, Hong Yen N, Ha LT (2023) Could volatile cryptocurrency stimulate systemic risks in the energy sector? Evidence from novel connectedness models. Carbon Manag 14(1):2184719. https://doi.org/10.1080/17583004.2023.2184719
doi: 10.1080/17583004.2023.2184719
Jackman M, Moore W (2021) Does it pay to be green? An exploratory analysis of wage differentials between green and non-green industries. J Econ Dev 23(3):284–298. https://doi.org/10.1108/JED-08-2020-0099
doi: 10.1108/JED-08-2020-0099
Jarque CM, Bera AK (1980) Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Econ Lett 6(3):255–259. https://doi.org/10.1016/0165-1765(80)90024-5
doi: 10.1016/0165-1765(80)90024-5
Khan I, Hou F (2021a) The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries. Environ Sci Pollut Res 28(5):5049–5062. https://doi.org/10.1007/s11356-020-10861-6
doi: 10.1007/s11356-020-10861-6
Khan I, Hou F (2021b) The impact of socio-economic and environmental sustainability on CO
doi: 10.1007/s11205-021-02629-3
Khan I, Hou F, Le HP (2021a) The impact of natural resources, energy consumption, and population growth on environmental quality: fresh evidence from the United States of America. Sci Total Environ 754:142222. https://doi.org/10.1016/j.scitotenv.2020.142222
doi: 10.1016/j.scitotenv.2020.142222
Khan I, Hou F, Le HP, Ali SA (2021b) Do natural resources, urbanization, and value-adding manufacturing affect environmental quality? Evidence from the top ten manufacturing countries. Res Policy 72:102109. https://doi.org/10.1016/j.resourpol.2021.102109
doi: 10.1016/j.resourpol.2021.102109
Khan I, Hou F, Zakari A, Irfan M, Ahmad M (2022a) Links among energy intensity, non-linear financial development, and environmental sustainability: new evidence from Asia Pacific Economic Cooperation countries. J Clean Prod 330:129747. https://doi.org/10.1016/j.jclepro.2021.129747
doi: 10.1016/j.jclepro.2021.129747
Khan I, Tan D, Hassan ST, Bilal. (2022b) Role of alternative and nuclear energy in stimulating environmental sustainability: impact of government expenditures. Environ Sci Pollut Res 29(25):37894–37905. https://doi.org/10.1007/s11356-021-18306-4
doi: 10.1007/s11356-021-18306-4
Khan I, Zakari A, Ahmad M, Irfan M, Hou F (2021d) Linking energy transitions, energy consumption, and environmental sustainability in OECD countries. Gondwana Res. https://doi.org/10.1016/j.gr.2021.10.026
Khan K, Su C-W, Rehman AU (2021c) Do multiple bubbles exist in coal price? Res Policy 73:102232. https://doi.org/10.1016/j.resourpol.2021.102232
doi: 10.1016/j.resourpol.2021.102232
Koop G, Pesaran MH, Potter SM (1996) Impulse response analysis in nonlinear multivariate models. J Econ 74(1):119–147. https://doi.org/10.1016/0304-4076(95)01753-4
doi: 10.1016/0304-4076(95)01753-4
Lastrapes WD, Wiesen TFP (2021) The joint spillover index. Econ Model 94:681–691. https://doi.org/10.1016/j.econmod.2020.02.010
doi: 10.1016/j.econmod.2020.02.010
Le TH (2022) Connectedness between nonrenewable and renewable energy consumption, economic growth and CO
doi: 10.1016/j.renene.2022.05.083
Le TH, Hoang PD, To TT (2022) Is product proximity a driver for better energy security? Global evidence of nonlinear relationships between product proximity and energy security. Int J Sustain Dev World Ecol 0(0):1–21. https://doi.org/10.1080/13504509.2022.2025500
doi: 10.1080/13504509.2022.2025500
Lee C-C, Wang F (2022) How does digital inclusive finance affect carbon intensity? Econ Anal Policy 75:174–190. https://doi.org/10.1016/j.eap.2022.05.010
doi: 10.1016/j.eap.2022.05.010
Lee J-W, Lee H (2016) Human capital in the long run. J Dev Econ 122:147–169. https://doi.org/10.1016/j.jdeveco.2016.05.006
doi: 10.1016/j.jdeveco.2016.05.006
Li J, Zhang X, Ali S, Khan Z (2020) Eco-innovation and energy productivity: new determinants of renewable energy consumption. J Environ Manag 271:111028. https://doi.org/10.1016/j.jenvman.2020.111028
doi: 10.1016/j.jenvman.2020.111028
Lyu L, Khan I, Zakari A, Bilal. (2021) A study of energy investment and environmental sustainability nexus in China: a bootstrap replications analysis. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-16254-7
Majeed MT, Tauqir A, Mazhar M, Samreen I (2021) Asymmetric effects of energy consumption and economic growth on ecological footprint: new evidence from Pakistan. Environ Sci Pollut Res 28(25):32945–32961. https://doi.org/10.1007/s11356-021-13130-2
doi: 10.1007/s11356-021-13130-2
Minh Do T, Sharma D (2011) Vietnam’s energy sector: a review of current energy policies and strategies. Energy Policy 39(10):5770–5777. https://doi.org/10.1016/j.enpol.2011.08.010
doi: 10.1016/j.enpol.2011.08.010
Mišík M (2022) The EU needs to improve its external energy security. Energy Policy 165:112930. https://doi.org/10.1016/j.enpol.2022.112930
doi: 10.1016/j.enpol.2022.112930
Pesaran HH, Shin Y (1998) Generalized impulse response analysis in linear multivariate models. Econ Lett 58(1):17–29. https://doi.org/10.1016/S0165-1765(97)00214-0
doi: 10.1016/S0165-1765(97)00214-0
Rasoulinezhad E, Saboori B (2018) Panel estimation for renewable and non-renewable energy consumption, economic growth, CO
doi: 10.1007/s11356-018-1827-3
Saboori B, Rasoulinezhad E, Sung J (2017) The nexus of oil consumption, CO
doi: 10.1007/s11356-017-8428-4
Sadorsky P (2009) Renewable energy consumption and income in emerging economies. Energy Policy 37(10):4021–4028. https://doi.org/10.1016/j.enpol.2009.05.003
doi: 10.1016/j.enpol.2009.05.003
Sadorsky P (2010) The impact of financial development on energy consumption in emerging economies. Energy Policy 38(5):2528–2535. https://doi.org/10.1016/j.enpol.2009.12.048
doi: 10.1016/j.enpol.2009.12.048
Sari R, Ewing BT, Soytas U (2008) The relationship between disaggregate energy consumption and industrial production in the United States: an ARDL approach. Energy Econ 30(5):2302–2313. https://doi.org/10.1016/j.eneco.2007.10.002
doi: 10.1016/j.eneco.2007.10.002
Shahbaz M, Mallick H, Mahalik MK, Sadorsky P (2016) The role of globalization on the recent evolution of energy demand in India: implications for sustainable development. Energy Econ 55:52–68. https://doi.org/10.1016/j.eneco.2016.01.013
doi: 10.1016/j.eneco.2016.01.013
Shahbaz M, Nasir MA, Roubaud D (2018) Environmental degradation in France: the effects of FDI, financial development, and energy innovations. Energy Econ 74:843–857. https://doi.org/10.1016/j.eneco.2018.07.020
doi: 10.1016/j.eneco.2018.07.020
Silva S, Soares I, Pinho C (2018) The impact of renewable energy sources on economic growth and CO
Taghizadeh-Hesary F, Rasoulinezhad E, Shahbaz M, Vinh Vo X (2021) How energy transition and power consumption are related in Asian economies with different income levels? Energy 237:121595. https://doi.org/10.1016/j.energy.2021.121595
doi: 10.1016/j.energy.2021.121595
Taghizadeh-Hesary F, Zakari A, Yoshino N, Khan I (2022) Leveraging on energy security to alleviate poverty in Asian economies, vol 1–28. The Singapore Economic Review. https://doi.org/10.1142/S0217590822440015
doi: 10.1142/S0217590822440015
Tawiah VK, Zakari A, Khan I (2021) The environmental footprint of China-Africa engagement: an analysis of the effect of China – Africa partnership on carbon emissions. Sci Total Environ 756:143603. https://doi.org/10.1016/j.scitotenv.2020.143603
doi: 10.1016/j.scitotenv.2020.143603
Thi H, Nham N, Thanh Ha L (2023) A wavelet analysis of connectedness between economic globalization, nonrenewable, and renewable energy consumption, and CO
doi: 10.1016/j.seta.2023.103227
Tian X, Kou G, Zhang W (2020) Geographic distance, venture capital and technological performance: evidence from Chinese enterprises. Technol Forecast Soc Chang 158:120155. https://doi.org/10.1016/j.techfore.2020.120155
doi: 10.1016/j.techfore.2020.120155
Wang Q, Chen Y (2010) Energy saving and emission reduction revolutionizing China’s environmental protection. Renew Sust Energ Rev 14(1):535–539. https://doi.org/10.1016/j.rser.2009.08.006
doi: 10.1016/j.rser.2009.08.006
Wolde-Rufael Y (2009) Energy consumption and economic growth: the experience of African countries revisited. Energy Econ 31(2):217–224. https://doi.org/10.1016/j.eneco.2008.11.005
doi: 10.1016/j.eneco.2008.11.005
Yang X, Khan I (2021) Dynamics among economic growth, urbanization, and environmental sustainability in IEA countries: the role of industry value-added. Environ Sci Pollut Res. https://doi.org/10.1007/s11356-021-16000-z
Yoo S-H (2006) The causal relationship between electricity consumption and economic growth in the ASEAN countries. Energy Policy 34(18):3573–3582. https://doi.org/10.1016/j.enpol.2005.07.011
doi: 10.1016/j.enpol.2005.07.011
Yu X, Li C, Chen H, Ji Z (2020) Evaluate air pollution by Promethee ranking in Yangtze River Delta of China. Int J Environ Res Public Health 17(2):E587. https://doi.org/10.3390/ijerph17020587
doi: 10.3390/ijerph17020587
Zakari A, Khan I, Tan D, Alvarado R, Dagar V (2022a) Energy efficiency and sustainable development goals (SDGs). Energy 239:122365. https://doi.org/10.1016/j.energy.2021.122365
doi: 10.1016/j.energy.2021.122365
Zakari A, Khan I, Tawiah V, Alvarado R, Li G (2022b) The production and consumption of oil in Africa: the environmental implications. Res Policy 78:102795. https://doi.org/10.1016/j.resourpol.2022.102795
doi: 10.1016/j.resourpol.2022.102795
Zakari A, Li G, Khan I, Jindal A, Tawiah V, Alvarado R (2022c) Are abundant energy resources and Chinese business a solution to environmental prosperity in Africa? Energy Policy 163:112829. https://doi.org/10.1016/j.enpol.2022.112829
doi: 10.1016/j.enpol.2022.112829
Zeng M, Du J, Zhang W (2019) Spatial-temporal effects of PM
doi: 10.3390/ijerph16234695