Oil price shocks, economic policy uncertainty, and green finance: a case of China

This study investigates the long- and short-run effects of crude oil price (COP) and economic policy uncertainty (EPU) on China’s green bond index (GBI) using the quantile autoregressive distributed lag model. The empirical results show that COP and EPU produce a significant positive and negative i...

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Main Authors: Kai-Hua Wang, Chi-Wei Su, Muhammad Umar, Oana-Ramona Lobonţ
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2022-12-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:https://jau.vgtu.lt/index.php/TEDE/article/view/17999
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author Kai-Hua Wang
Chi-Wei Su
Muhammad Umar
Oana-Ramona Lobonţ
author_facet Kai-Hua Wang
Chi-Wei Su
Muhammad Umar
Oana-Ramona Lobonţ
author_sort Kai-Hua Wang
collection DOAJ
description This study investigates the long- and short-run effects of crude oil price (COP) and economic policy uncertainty (EPU) on China’s green bond index (GBI) using the quantile autoregressive distributed lag model. The empirical results show that COP and EPU produce a significant positive and negative influence on GBI in the long-run across most quantiles, respectively, but their short-run counterparts are opposite direction and only significant in higher quantiles. Thus, major contributions are made accordingly and shown in the following aspects. The findings emphasise the importance of understanding how COP and EPU affect China’s green bond market for the first time. In addition, both the long- and short-run effects are captured, but long-run shocks primarily drive the green bond market. Finally, time- and quantile-varying analyses are adopted to explain the nexus between COP and EPU to GBI, which considers not only different states of the bond market but also events that occur in different time periods. Some detailed policies, such as a unified and effective green bond market, an early warning mechanism of oil price fluctuation, and prudent economic policy adjustments, are beneficial for stabilising the green finance market. First published online 19 December 2022
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spelling doaj.art-9e6b634586f74ee39753a12115a8f58a2022-12-22T04:42:17ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212022-12-0110.3846/tede.2022.17999Oil price shocks, economic policy uncertainty, and green finance: a case of ChinaKai-Hua Wang0Chi-Wei Su1Muhammad Umar2Oana-Ramona Lobonţ3School of Economics, Qingdao University, Qingdao, ChinaSchool of Economics, Qingdao University, Qingdao, China; Faculty of Economics and Business Administration, West University of Timisoara, Timișoara, RomaniaSchool of Economics, Qingdao University, Qingdao, China; Adnan Kassar School of Business, Lebanese American University, P.O. Box: 13-5063, Chouran, Beirut, LebanonDepartment of Finance, West University of Timisoara, Timisoara, Romania This study investigates the long- and short-run effects of crude oil price (COP) and economic policy uncertainty (EPU) on China’s green bond index (GBI) using the quantile autoregressive distributed lag model. The empirical results show that COP and EPU produce a significant positive and negative influence on GBI in the long-run across most quantiles, respectively, but their short-run counterparts are opposite direction and only significant in higher quantiles. Thus, major contributions are made accordingly and shown in the following aspects. The findings emphasise the importance of understanding how COP and EPU affect China’s green bond market for the first time. In addition, both the long- and short-run effects are captured, but long-run shocks primarily drive the green bond market. Finally, time- and quantile-varying analyses are adopted to explain the nexus between COP and EPU to GBI, which considers not only different states of the bond market but also events that occur in different time periods. Some detailed policies, such as a unified and effective green bond market, an early warning mechanism of oil price fluctuation, and prudent economic policy adjustments, are beneficial for stabilising the green finance market. First published online 19 December 2022 https://jau.vgtu.lt/index.php/TEDE/article/view/17999green bond indexcrude oil priceeconomic policy uncertaintyquantile autoregressive distributed lag model
spellingShingle Kai-Hua Wang
Chi-Wei Su
Muhammad Umar
Oana-Ramona Lobonţ
Oil price shocks, economic policy uncertainty, and green finance: a case of China
Technological and Economic Development of Economy
green bond index
crude oil price
economic policy uncertainty
quantile autoregressive distributed lag model
title Oil price shocks, economic policy uncertainty, and green finance: a case of China
title_full Oil price shocks, economic policy uncertainty, and green finance: a case of China
title_fullStr Oil price shocks, economic policy uncertainty, and green finance: a case of China
title_full_unstemmed Oil price shocks, economic policy uncertainty, and green finance: a case of China
title_short Oil price shocks, economic policy uncertainty, and green finance: a case of China
title_sort oil price shocks economic policy uncertainty and green finance a case of china
topic green bond index
crude oil price
economic policy uncertainty
quantile autoregressive distributed lag model
url https://jau.vgtu.lt/index.php/TEDE/article/view/17999
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AT chiweisu oilpriceshockseconomicpolicyuncertaintyandgreenfinanceacaseofchina
AT muhammadumar oilpriceshockseconomicpolicyuncertaintyandgreenfinanceacaseofchina
AT oanaramonalobont oilpriceshockseconomicpolicyuncertaintyandgreenfinanceacaseofchina