'Mobile men with money': the socio-cultural and politico-economic context of 'high-risk' behaviour among wealthy businessmen and government officials in urban China

Cult Health Sex. 2008 Nov;10(8):801-14. doi: 10.1080/13691050802380966.

Abstract

China's transition from an injection drug-driven HIV epidemic to one primarily transmitted through sexual contact has triggered concern over the potential for HIV to move into the non-drug-injecting population. Much discussion has focused on the migrant men of China's vast 'floating population' who are considered a high-risk group. As a result, many men who frequently engage in high-risk behaviour but are not included in this especially vulnerable group are evading HIV prevention messages. This paper highlights the socio-cultural and politico-economic factors that motivate many of China's wealthy businessmen and government officials, sometimes referred to as 'mobile men with money', to engage in such behaviour. Examination of the activities related to the work of these men reveals a situation where the confluence of a market-oriented economy operating within a socialist-style political system under the influence of traditional networking practices has engendered a unique mode of patron-clientelism that brings them together over shared social rituals including feasting, drinking and female-centered entertainment that is often coupled with sexual services. As a result, consideration of the socio-cultural factors influencing these men's sexual practices is important for responding to the newly emerging stage of China's HIV epidemic.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attitude to Health*
  • China / epidemiology
  • Cultural Characteristics
  • Female
  • HIV Infections / prevention & control
  • Humans
  • Income / statistics & numerical data
  • Interprofessional Relations
  • Male
  • Men's Health*
  • Risk-Taking*
  • Sexual Behavior / statistics & numerical data*
  • Social Class*
  • Socioeconomic Factors
  • Stereotyping*
  • Unsafe Sex / statistics & numerical data
  • Urban Population / statistics & numerical data