Asymmetric relationship between carbon emission trading market and stock market: Evidences from China

被引：152

作者：

Wen, Fenghua ^{[1
,2
]}

Zhao, Lili ^{[1
]}

He, Shaoyi ^{[3
]}

Yang, Guozheng ^{[4
]}

机构：

[1] Cent South Univ, Sch Business, Changsha 410083, Peoples R China

[2] Univ Windsor, Supply Chain & Logist Optimizat Res Ctr, Fac Engn, Windsor, ON, Canada

[3] Calif State Univ San Bernardino, Jack H Brown Coll Business & Publ Adm, San Bernardino, CA 92407 USA

[4] Cent South Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China

来源：

ENERGY ECONOMICS | 2020年 / 91卷 / 91期

基金：

中国国家自然科学基金;

关键词：

Carbon emission trading market; China stock market; Asymmetric relationship; NARDL model; ECONOMIC-GROWTH; OIL-PRICE; ALLOWANCES PRICES; RETURNS EVIDENCE; TIME-SERIES; UNIT-ROOT; DETERMINANTS; CONSUMPTION; VOLATILITY; IMPACT;

D O I：

10.1016/j.eneco.2020.104850

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper has investigated the asymmetric relationship between carbon emission trading market and stock market in China by using the nonlinear auto-regressive distributed lag (NARDL) model. Based on our investigation on both of the overall and sector level of stock market, we have obtained interesting and convincing empirical results that show there are significantly negative long-run and short-run asymmetric relationships between carbon emission trading market and overall stock market in China. Specifically, we have noticed that while passing the effects from the former to the later, the increasing of carbon emission trading price would make greater effects on the stock price than its decreasing. Also, on the sector level, carbon emission trading price is significantly related to some energy intense sectors and financial sector stock market. Furthermore, we have surprisingly found out that there are no significant effects passing from stock index to carbon emission trading price in China, neither on the overall level nor on the sector level of stock market. Published by Elsevier B.V.

引用

页数：13

共 49 条

[1] Electricity consumption and economic growth: Evidence from Turkey [J].

Altinay, G ;

Karagol, E .

ENERGY ECONOMICS, 2005, 27 (06) :849-856

[2] Asymmetric impact of oil price on Islamic sectoral stocks [J].

Badeeb, Ramez Abubakr ;

Lean, Hooi Hooi .

ENERGY ECONOMICS, 2018, 71 :128-139

[3]

Bjerregaard P, 2015, HANDBOOK ON THE TOXICOLOGY OF METALS, VOL I & II, 4TH EDITION, P425, DOI 10.1016/B978-0-444-59453-2.00021-4

[4] Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism [J].

Bouri, Elie ;

Chen, Qian ;

Lien, Donald ;

Lv, Xin .

INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2017, 48 :34-48

[5] Oil shocks and their impact on energy related stocks in China [J].

Broadstock, David C. ;

Cao, Hong ;

Zhang, Dayong .

ENERGY ECONOMICS, 2012, 34 (06) :1888-1895

[6] Emerging carbon constraints for corporate risk management [J].

Busch, Timo ;

Hoffmann, Volker H. .

ECOLOGICAL ECONOMICS, 2007, 62 (3-4) :518-528

[7] A model of carbon price interactions with macroeconomic and energy dynamics [J].

Chevallier, Julien .

ENERGY ECONOMICS, 2011, 33 (06) :1295-1312

[8] Detecting instability in the volatility of carbon prices [J].

Chevallier, Julien .

ENERGY ECONOMICS, 2011, 33 (01) :99-110

[9] Some improved sparse and stable portfolio optimization problems [J].

Dai, Zhifeng ;

Wen, Fenghua .

FINANCE RESEARCH LETTERS, 2018, 27 :46-52

[10] LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT-ROOT [J].

DICKEY, DA ;

FULLER, WA .

ECONOMETRICA, 1981, 49 (04) :1057-1072

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