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postgraduate thesis: Deceived by what? : evidence from telecom fraud dissuasive calls

TitleDeceived by what? : evidence from telecom fraud dissuasive calls
Authors
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Chen, X. [陈孝良]. (2024). Deceived by what? : evidence from telecom fraud dissuasive calls. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractAs telecom fraud has rapidly evolved and skyrocketed in China, this paper addresses why people are deceived by telecom fraud and how to effectively reduce its social costs. By analyzing detailed call records along with personal characteristics from the Beijing Anti-Fraud Dissuasion System between August 2021 and February 2023, we provide empirical evidence that cognitive variations contribute to susceptibility to deception. Using extreme weather and pollution as exogenous shocks affecting cognitive variations, we employed advanced economic analysis tools, including multidimensional fixed effects models and comparative analysis using survey data, to ensure the robustness and validity. Our analysis shows that the risk of being deceived significantly increases in environments with extreme heat and severe air pollution, and this effect is nonlinear demonstrated a clear U-shaped relationship, with the risk of deception rising sharply under more extreme conditions. Furthermore, we find that anti-fraud dissuasion calls, utilizing specific verbal and vocal traits, can effectively reduce the social costs caused by telecom fraud.
DegreeDoctor of Business Administration
SubjectFraud - China
Computer crimes - China
Dept/ProgramBusiness Administration
Persistent Identifierhttp://hdl.handle.net/10722/356442

 

DC FieldValueLanguage
dc.contributor.authorChen, Xiaoliang-
dc.contributor.author陈孝良-
dc.date.accessioned2025-06-03T02:17:41Z-
dc.date.available2025-06-03T02:17:41Z-
dc.date.issued2024-
dc.identifier.citationChen, X. [陈孝良]. (2024). Deceived by what? : evidence from telecom fraud dissuasive calls. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/356442-
dc.description.abstractAs telecom fraud has rapidly evolved and skyrocketed in China, this paper addresses why people are deceived by telecom fraud and how to effectively reduce its social costs. By analyzing detailed call records along with personal characteristics from the Beijing Anti-Fraud Dissuasion System between August 2021 and February 2023, we provide empirical evidence that cognitive variations contribute to susceptibility to deception. Using extreme weather and pollution as exogenous shocks affecting cognitive variations, we employed advanced economic analysis tools, including multidimensional fixed effects models and comparative analysis using survey data, to ensure the robustness and validity. Our analysis shows that the risk of being deceived significantly increases in environments with extreme heat and severe air pollution, and this effect is nonlinear demonstrated a clear U-shaped relationship, with the risk of deception rising sharply under more extreme conditions. Furthermore, we find that anti-fraud dissuasion calls, utilizing specific verbal and vocal traits, can effectively reduce the social costs caused by telecom fraud. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshFraud - China-
dc.subject.lcshComputer crimes - China-
dc.titleDeceived by what? : evidence from telecom fraud dissuasive calls-
dc.typePG_Thesis-
dc.description.thesisnameDoctor of Business Administration-
dc.description.thesislevelDoctoral-
dc.description.thesisdisciplineBusiness Administration-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044958444403414-

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