Survey on Renminbi (RMB) InvestmentBack
The research instrument used in this study was designed entirely by the POP Team after consulting China CITIC Bank International, while both POP and China CITIC Bank International had equal say in the final instrument. Moreover, fieldwork operations, data collection and data analysis were conducted independently by the POP Team, without interference from any party. In other words, although the content of the questionnaire mainly came from the commissioning organization, POP was given full autonomy to design and conduct the survey, and POP would take full responsibility for all the findings reported herewith.
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Research Design Telephone interviews were conducted by interviewers under close supervision. All data were collected by our interviewers using a Computer Assisted Telephone Interview (CATI) system invented by the research team which allowed real-time data capture and consolidation. To ensure data quality, on top of on-site supervision, voice recording, screen capturing and camera surveillance were used to monitor the interviewers' performance.
The target population of this survey was Cantonese-speaking Hong Kong residents of age 30 or above who have 1) monthly household income $35,000 or above; or 2) monthly personal income $25,000 or above; or 3) liquid assets that are worth $500,000 or above. When telephone contact was successfully established with a target household, one eligible subject was interviewed. If more than one eligible subject had been available, selection was made using the "next birthday rule" which selected the person who had his/her birthday next. The survey was conducted during the period of April 13 to 27, 2015. A total of 511 eligible subjects were successfully interviewed. The effective response rate of this survey was 69.1%, and the standard sampling error for percentages based on this sample was less than 2.2 percentage points. In other words, the sampling error for all percentages using the total sample was less than plus/minus 4.4 percentage points at 95% confidence level.
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Research Team Members
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