Logistic Model-Based Evaluation of Anti-counterfeiting Effectiveness for Consumer Goods: Based on Cognition of Companies and Consumers

  • Liu XiaEmail author
  • Tang Wanjin
  • Liu Bisong
  • Li Ya
  • Wu Qian
  • Liu Tiezhong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 532)


Anti-counterfeiting enforcement, as an important means of supervising product quality in China, plays a vital role in safeguarding and improving the quality of products. Over recent years, however, the emergence of new consumer goods is shadowed by fake or inferior products that come up one after another. Do the anti-counterfeiting actions carried out by the government really play a part in the maintenance of market order and the improvement of product quality? These problems have attracted more and more attention of consumers and enterprises. In this paper, a random sampling method is employed to select two research objects across the country: consumers and enterprises. A logistic regression model is applied to the evaluation of anti-counterfeiting effectiveness towards enterprises and consumers. It is found that about 45.9% of consumers are satisfied with anti-counterfeiting enforcement, and about 45.1% of the enterprises are pleased with anti-counterfeiting actions, suggesting that anti-counterfeiting enforcement needs strengthening. Moreover, there is a long way to go before anti-counterfeiting work satisfies companies and consumers.


Government agencies Organization performance management Counterfeit consumer goods Evaluation of effectiveness 



This paper has been funded by the national key research and development project “Research on key technical standards for quality and safety control of consumer goods” (2016YFF02022600), and the central basic research business project “Research on method for consumer product safety risk assessment based on the simulation technology—taking children’s products as an example” (552015Y-3990), and the project “Development of general chemical safety standard for 10 consumer products” (201510203).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Liu Xia
    • 1
    Email author
  • Tang Wanjin
    • 1
  • Liu Bisong
    • 1
  • Li Ya
    • 1
  • Wu Qian
    • 1
  • Liu Tiezhong
    • 2
  1. 1.Quality Management Branch of China National Institute of StandardizationBeijingChina
  2. 2.School of Management and Economics, Beijing Institute of TechnologyBeijingChina

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