A Two-Stage Evaluation of China's New Energy Industrial Policy Package

被引:0
|
作者
Wang, Qiao [1 ]
Chen, Shiyun [1 ]
Yi, Hongtao [2 ]
机构
[1] Huazhong Agr Univ, Coll Publ Adm, Wuhan 430070, Peoples R China
[2] Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China
基金
中国国家自然科学基金;
关键词
policy package; new energy industry; two-stage evaluation; content analysis method; synthetic control method; Shanghai; DEPLOYMENT;
D O I
10.3390/su16188264
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy structural transformation plays a strategically important role in achieving the dual-carbon reduction goals. Among the various approaches to carbon reduction, the Chinese government regards the growth of the new energy industry as an essential means. Considering that the government policy support determines the long-term growth of the new energy industry, how to improve and optimize the policy support system has always been the core issue. Based on the fact that policy evaluation is a prerequisite, and the new energy industrial development requires the government to promote solutions in the form of a policy package rather than just individual policies, we investigate whether the implementation of the new energy industry policy package (NEIPP) is effective through an empirical case study of Shanghai. A two-stage evaluation method, which integrates the content analysis method (CAM) and synthetic control method (SCM), was used to empirically evaluate the actual effect of the NEIPP. At Stage One, four policy goals were summarized. SCM was used to identify the pure multi-effect of the NEIPP. The results showed that the NEIPP had a significant positive effect on green economic growth and industrial structure, while having a negative effect on carbon emissions. The NEIPP had no impact on the promotion of technological innovation. Several policy implications were drawn from this study.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Design and evaluation of two-stage planetary gearbox for special-purpose industrial machinery
    Qin, Zhen
    Wu, Yu-Ting
    Eizad, Amre
    Lee, Ki-Hun
    Lyu, Sung-Ki
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2019, 33 (12) : 5943 - 5950
  • [22] Industrial Policy and Technological Innovation of New Energy Vehicle Industry in China
    Li, Hongchen
    Qi, Huijun
    Cao, Hongjian
    Yuan, Li
    [J]. ENERGIES, 2022, 15 (24)
  • [23] Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis
    Wang, Xiaoli
    Huang, Lucheng
    Daim, Tugrul
    Li, Xin
    Li, Zhiqiang
    [J]. TECHNOLOGY IN SOCIETY, 2021, 67
  • [24] Optimal planning for two-stage stochastic industrial systems
    M. Kh. Prilutskii
    [J]. Automation and Remote Control, 2014, 75 : 1384 - 1392
  • [25] Optimal planning for two-stage stochastic industrial systems
    Prilutskii, M. Kh.
    [J]. AUTOMATION AND REMOTE CONTROL, 2014, 75 (08) : 1384 - 1392
  • [26] A two-stage DEA model for resource allocation in industrial pollution treatment and its application in China
    Zhang, Jiajia
    Wu, Qiang
    Zhou, Zhixiang
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 228 : 29 - 39
  • [27] Energy and Exergy Evaluation of a Two-Stage Axial Vapour Compressor on the LNG Carrier
    Poljak, Igor
    Orovic, Josip
    Mrzljak, Vedran
    Bernecic, Dean
    [J]. ENTROPY, 2020, 22 (01) : 115
  • [28] Exact evaluation and optimization of the (R, nT) policy for a two-stage serial inventory system
    Wang, Qinan
    Liu, Chang
    [J]. OPERATIONS RESEARCH LETTERS, 2015, 43 (06) : 550 - 557
  • [29] The Green Effects of Industrial Policy-Evidence from China's New Energy Vehicle Subsidies
    Cai, Qian
    Ji, Zheng
    Ma, Fuxun
    Liang, Han
    [J]. ENERGIES, 2023, 16 (19)
  • [30] The trajectory of China's new energy vehicles policy
    Muniz S.T.G.
    Belzowski B.M.
    Zhu J.
    [J]. International Journal of Automotive Technology and Management, 2019, 19 (3-4) : 257 - 280