Scrutinizing interlinkages between digitalization, economic complexity, green technologies, green energy consumption and CO2 emission by quantile spillovers in Vietnam

被引:0
作者
Le Thanh Ha
机构
[1] National Economics University,Faculty of Economics
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Digitalization; Green technology; Green energy consumption; Energy security; Vietnam; QVAR; F21; G21; O16; C33;
D O I
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中图分类号
学科分类号
摘要
We use quantile vector autoregression (QVAR) to identify the connection between six variables related to digitalization (proxied by a number of Internet users and mobile cellular subscriptions), green technology development, green energy consumption, carbon dioxide emissions, and economic complexity index from 1996 to 2019 in Vietnam. The dynamic connectedness of the system is 62% and 14% in the short and long term, respectively. Their connectedness is intense for highly positive and negative quantiles (over 80% quantile). In contrast, economic complexity transmits shocks in the short term and manifests itself even more in the long term. Green technology development is the central receiver of short- and long-term shocks. Besides, digitalization captured by a number of Internet users has switched from shock transmitters to shock receivers in the short term. Other metrics like mobile cellular subscriptions, green energy consumption, and CO2 emissions are mainly shock-receiver-driven. In the short term, there was volatility, especially from 2009 to 2013, due to unprecedented events like destructive changes in political, economic, and financial issues in the globe. Our findings are critical for economists and policymakers in promoting a country’s digitalization, green technology performance, and green energy on the path toward sustainable development.
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页码:81073 / 81092
页数:19
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  • [1] Abdulwakil MM(2020)Bioenergy efficiency change and its determinants in EU-28 region: evidence using least square dummy variable corrected estimation Biomass Bioenergy 137 1381-1403
  • [2] Abdul-Rahim AS(1998)Property rights, corruption and the allocation of talent: a general equilibrium approach Econ J 108 563-606
  • [3] Alsaleh M(2001)Productivity differences* Q J Econ 116 101245-313
  • [4] Acemoglu D(2020)Examining E-Government development effects on corruption in Africa: the mediating effects of ICT development and institutional quality Technol Soc 61 102877-271
  • [5] Verdier T(2022)Crude oil and Islamic sectoral stocks: asymmetric TVP-VAR connectedness and investment strategies Resour Policy 78 293-1349
  • [6] Acemoglu D(2021)The criticality of ICT-trade nexus on economic and inclusive growth Inf Technol Dev 27 258-542
  • [7] Zilibotti F(2020)The impact of digital economy on international trade European Journal of Business and Management Research 5 1331-58761
  • [8] Adam IO(2021)Does e-government control corruption? Evidence from South Asian countries J Financ Crime 29 531-948
  • [9] Adekoya OB(2017)Determinants of technical efficiency in the bioenergy industry in the EU28 region Renew Sust Energ Rev 78 58746-1965
  • [10] Akinseye AB(2020)Productivity growth and its determinants of the bioenergy industry in the EU28 region: empirical evidence using Malmquist productivity index Business Strategy & Development 3 933-632