Evaluations of policy contagion for new energy vehicle industry in China

被引:20
作者
Hsiao, Cody Yu-Ling [1 ,2 ]
Yang, Rui [1 ]
Zheng, Xin [3 ]
Chiu, Yi-Bin [4 ]
机构
[1] Macau Univ Sci & Technol, Sch Business, Taipa, Peoples R China
[2] Australian Natl Univ, Ctr Appl Macroecon Anal, Canberra, Australia
[3] Beijing Inst Technol, Sch Management & Econ, Beijing, Peoples R China
[4] Southwestern Univ Finance & Econ, Inst Western China Econ Res, Chengdu, Peoples R China
关键词
China; New energy vehicle; Policy shocks; Policy contagion; Network analysis; GOVERNMENT; TESTS; INCENTIVES; MARKET;
D O I
10.1016/j.enpol.2022.113402
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper investigates the impact of eight new energy vehicle (NEV) policies in China from 2016 to 2021 on the stock indices of its 10 major up-, mid-, and downstream sectors. Contagion tests based on changes in either individual linear/asymmetric or joint asymmetric dependence are applied to identify how policy shocks affect relevant sectors. These tests are also used to measure the extent to which policy is important in driving the policy shocks by measuring the sensitivity index of policy announcements and using network analysis. The empirical results show that China's NEV policies, including financial subsidies, tax exemption, dual credit schemes, and long-term development plan and management notice, have significant effects on its main industry chains and affiliated sectors through linear and joint asymmetric dependence channels. Of the eight policies, the long-term development plan and financial subsidies are found to be the most effective instruments in driving policy contagion more through asymmetric dependence than linear dependence channels, while tax incentives and management notices have the least effect. The up-, mid-, and downstream sectors of NEVs are more affected by NEV policy shocks than their affiliated sectors.
引用
收藏
页数:16
相关论文
共 55 条
  • [1] Government policy and the development of electric vehicles in Japan
    Åhman, M
    [J]. ENERGY POLICY, 2006, 34 (04) : 433 - 443
  • [2] CAAM. China Association of Automobile Manufacturers, 2016, EC OP AUT IND 2016
  • [3] A regime switching skew-normal model of contagion
    Chan, Joshua C. C.
    Fry-McKibbin, Renee A.
    Hsiao, Cody Yu-Ling
    [J]. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2019, 23 (01)
  • [4] Innovation efficiency and technology heterogeneity within China's new energy vehicle industry: A two-stage NSBM approach embedded in a three-hierarchy meta-frontier framework
    Chen, Yufeng
    Ni, Liangfu
    Liu, Kelong
    [J]. ENERGY POLICY, 2022, 161
  • [5] Chih Y.-Y., 2022, J MANAG ENG, V39
  • [6] Resilience of Organizations in the Construction Industry in the Face of COVID-19 Disturbances: Dynamic Capabilities Perspective
    Chih, Ying-Yi
    Hsiao, Cody Yu-Ling
    Zolghadr, Ali
    Naderpajouh, Nader
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2022, 38 (02)
  • [7] Dynamic spillover effects and portfolio strategies between crude oil, gold and Chinese stock markets related to new energy vehicle
    Dai, Zhifeng
    Zhu, Haoyang
    Zhang, Xinhua
    [J]. ENERGY ECONOMICS, 2022, 109
  • [8] The impact of market-incentive environmental regulation on the development of the new energy vehicle industry: a quasi-natural experiment based on China's dual-credit policy
    Dong, Feng
    Zheng, Lu
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (04) : 5863 - 5880
  • [9] Policy evolution and effect evaluation of new-energy vehicle industry in China
    Dong, Feng
    Liu, Yajie
    [J]. RESOURCES POLICY, 2020, 67 (67)
  • [10] No contagion, only interdependence: Measuring stock market comovements
    Forbes, KJ
    Rigobon, R
    [J]. JOURNAL OF FINANCE, 2002, 57 (05) : 2223 - 2261