AidData’s 2022-2023 Perceptions of Chinese Overseas Development Survey (hereafter BRI Perceptions Survey) took the pulse of government, civil society, and private sector leaders from 129 low- and middle-income countries to understand how they view the costs, benefits, and outcomes of PRC-financed development projects. Respondents came from 23 policy areas of expertise. Of 51,122 individuals who received our email invitation, 1,650 participated for a response rate of 3.2 percent. To our knowledge, this is the first survey to systematically capture perceptions of the BRI comparably among those who make and shape development policy across the Global South.
This dataset provides the weighted aggregate results of the BRI Perceptions Survey globally for selected questions and with limited disaggregation across 5 geographic regions and respondents from democratic versus autocratic countries (in some cases). More information on the sampling frame, sample, survey implementation, and use of non-response weighting is provided in the brief methodological notes and also in the full report. AidData collects additional demographic information about our survey participants, however, this information is restricted from public release in order to protect respondent anonymity. For any questions about the data, report, or other related inquiries please write to info@aidata.org.
Data Coverage
Scope: Global survey responses from 1650 public, private, and civil society leaders to selected questions, reported as global aggregates and with limited disaggregation by geographic region and (in some cases) regime type
Geographic Coverage: 129 low- and middle-income countries and semi-autonomous territories
Survey fielding: The survey was fielded on a rolling base by region via Qualtrics between July 2022 and April 2023.
Respondents: Of the 51,122 individuals who received our email invitation, 1,650 participated, for an overall response rate of 3.2 percent.
Survey Questions: 22 included in the dataset
Weighting: Non-response weights, as set by AidData and elaborated in the methodological notes, were applied in constructing the aggregates