Evaluation of China's new energy vehicle policy texts with quantitative and qualitative analysis

被引:52
作者
Wang, Xiaoli [1 ]
Huang, Lucheng [2 ]
Daim, Tugrul [3 ,4 ]
Li, Xin [2 ]
Li, Zhiqiang [1 ]
机构
[1] Henan Univ, Sch Business, Kaifeng 475001, Peoples R China
[2] Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
[3] Portland State Univ, Portland, OR 97201 USA
[4] Chaoyang Univ Technol, Taichung, Taiwan
关键词
New energy vehicle; Policy texts; Policy evaluation; ELECTRIC VEHICLE; GOVERNMENT POLICY; INNOVATION POLICY; ADOPTION; INSTRUMENTS; PERFORMANCE; INCENTIVES; PREFERENCE; EFFICIENCY; IMPACT;
D O I
10.1016/j.techsoc.2021.101770
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
As one of the strategic emerging industries, the new energy vehicle (NEV) industry receives strong support from the Chinese government. The Chinese government has formulated a large number of policies to promote the development of NEV industry. Evaluating and analyzing the NEV policies are of great significance for improving policy formulation. In this study, we comprehensively analyze 253 NEV policy texts by employing quantitative and qualitative methods. We present the policy instrument types and semantic structure characteristics of policy texts based on the content analysis. The advantages and disadvantages of policy texts are identified by using a quantitative evaluation model. Our results show that the most frequently used policy instrument is regulatory, and the main policy objective is the demand-pull. The policies with higher scores are more comprehensive. Three suggestions are put forward to improve NEV policies.
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页数:11
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共 69 条
  • [1] Government policy and the development of electric vehicles in Japan
    Åhman, M
    [J]. ENERGY POLICY, 2006, 34 (04) : 433 - 443
  • [2] The choice of innovation policy instruments
    Borras, Susana
    Edquist, Charles
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2013, 80 (08) : 1513 - 1522
  • [3] Electric vehicle adoption: An analysis of best practice and pitfalls for policy making from experiences of Europe and the US
    Broadbent, Gail Helen
    Drozdzewski, Danielle
    Metternicht, Graciela
    [J]. GEOGRAPHY COMPASS, 2018, 12 (02):
  • [4] Will current electric vehicle policy lead to cost-effective electrification of passenger car transport?
    Contestabile, Marcello
    Alajaji, Mohammed
    Almubarak, Bader
    [J]. ENERGY POLICY, 2017, 110 : 20 - 30
  • [5] A semantic network analysis of the International Communication Association
    Doerfel, ML
    Barnett, GA
    [J]. HUMAN COMMUNICATION RESEARCH, 1999, 25 (04) : 589 - 603
  • [6] Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions
    Egbue, Ona
    Long, Suzanna
    [J]. ENERGY POLICY, 2012, 48 : 717 - 729
  • [7] Policy modeling: Definition, classification and evaluation
    Estrada, Mario Arturo Ruiz
    [J]. JOURNAL OF POLICY MODELING, 2011, 33 (04) : 523 - 536
  • [8] Shaping innovation in health care: A content analysis of innovation policies in the English NHS, 1948-2015
    Farchi, Tomas
    Salge, Torsten-Oliver
    [J]. SOCIAL SCIENCE & MEDICINE, 2017, 192 : 143 - 151
  • [9] Exploiting Background Information in Knowledge Discovery from Text
    Feldman R.
    Hirsh H.
    [J]. Journal of Intelligent Information Systems, 1997, 9 (1) : 83 - 97
  • [10] Policy instruments for public procurement of innovation: Choice, design and assessment
    Georghiou, Luke
    Edler, Jakob
    Uyarra, Elvira
    Yeow, Jillian
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2014, 86 : 1 - 12