An Exploration of Interlinkages between International Trades and Green Energy Volatility over Quantiles

Ha Quynh Hoa (), Nguyen Viet Hung (), Le Thanh Ha, Luu Thi Phuong (), Truong Nhu Hieu () and Tran Anh Ngoc ()
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Ha Quynh Hoa: National Economics University, Hanoi, Vietnam
Nguyen Viet Hung: National Economics University, Hanoi, Vietnam
Le Thanh Ha: National Economics University, Hanoi, Vietnam
Luu Thi Phuong: National Economics University, Hanoi, Vietnam
Truong Nhu Hieu: National Economics University, Hanoi, Vietnam
Tran Anh Ngoc: National Economics University, Hanoi, Vietnam

Journal of International Commerce, Economics and Policy (JICEP), 2023, vol. 14, issue 03, 1-22

Abstract: In this paper, we employ the quantile vector autoregression (QVAR) technique to determine the degree of connectedness between seven variables from 1985 to 2019 for the purpose of examining the relationships between the Trade market and Green energy consumption. Based on our findings, dynamic connectedness, which is 24.18% in the short term and 9% in the long term, is influenced by both long-term and short-term periods. Based on the dynamic net total connectedness of a quantile, a quantile of 50% describes the period’s overall connectedness, which is associated both with highly positive changes (above the 80% quantile) and with highly volatile variables (below the 20% quantile) of export, import, and green energy consumption. In both durations, export and import values turn into a net shock transmitter, and green energy consumption acts like a net shock receiver since the last half of the period. In 2008, uncertain events were correlated with dynamic net pairwise directional connectedness over a quantile, such as the Global Financial crisis, have an influence on the trade market and green energy consumption’s volatility.

Keywords: QVAR; network interlinkages; international trades; green energy volatility (search for similar items in EconPapers)
JEL-codes: F3 G12 Q43 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1142/S1793993323500205

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