Abstract
Perception surveys remain an important tool to measure corruption. However, most existing perception surveys only analyze corruption at the national or international level, and do not provide information about corruption at local levels. But it is corruption in local areas that really influences the everyday life of ordinary people. In order to redress this lacuna, the authors developed an expert survey to measure corruption in 36 major Chinese cities, using a questionnaire that included 11 key questions about different aspects of urban corruption. This study, as the first of its kind in China, has demonstrated the great regional disparity in terms of corruption perception in the country. It has also pointed to the weaknesses of China’s anti-corruption system.
Similar content being viewed by others
Notes
For example, the India’s Sleaze Sheet poll covered 16 major state capitals and 1,743 respondents. The respondents were asked to rate the three most corrupt states and the three least corrupt states in India. They were also asked questions on corruption in the particular state administration and at the Centre. Finally, interviewees were queried on public service areas considered most conducive to corruption. For details of the poll, please see http://www.indiatoday.com/itoday/24111997/sleaze.html.
These sources include Country Performance Assessment Ratings, Country Policy and Institutional Assessments, Country Risk Service and Country Forecast, etc.
In the questionnaires, we promised that the survey was for academic purpose only and we would never forward the information collected to the government.
The four municipalities led directly by the Central Government are Beijing, Shanghai, Tianjin and Chongqing. Hong Kong and Macao are both Special Administrative Regions and they are not included in this study.
We decided to survey a fixed number of experts in each city because there is no clear correlation in China between the size of cities (in terms of population or land area) and the total number of experts available in the cities. For some fast-growing new cities, we could not find a group of experts proportional to the cities' respective populations. Because our study covered 36 cities, and certain underdeveloped cities have very few management/economics professors, 100 was our maximum sample size that was feasible then.
References
Arndt, C., & Oman, C. (2006). Uses and abuses of governance indicators. OECD Development Center Study.
Bertrand, M., & Mullainathan, S. (2001). Do people mean what they say? Implications for subjective survey data. American Economic Review, 91(2), 67–72.
Byrne, E., Arnold, A., & Nagano, F. (2010). Building public support for anti-corruption efforts. http://siteresources.worldbank.org/EXTGOVACC/Resources/CorruptionWhitePaperpub31110screen.pdf. Accessed 14 June 2011.
Galtung, F. (2006). Measuring the immeasurable: Boundaries and functions of (Macro) corruption indices. In F. Galtung, C. Sampford, A. Shacklock, & C. Connors (Eds.), Measuring corruption. UK: Ashgate.
Kalnins, V. (2005). Assessing trends in corruption and impact of anti-corruption measures. Paper presented at the 6th general meeting of anti-corruption network for transition economies, May 30–31, 2005, Istanbul, Turkey.
McKinsey Global Institute. (2009). Preparing for China’s urban billion. http://www.mckinsey.com/mgi/publications/china_urban_summary_of_findings.asp Accessed 14 June 2011.
National Bureau of Statistics of China. (2010). China statistical yearbook 2010. http://www.stats.gov.cn/tjsj/ndsj/2010/indexch.htm. Accessed 14 June 2011.
Ren, J. (2002). An empirical study on China’s anti-corruption rules: 1978–2000. Dangfeng Yuebao, September 2002.
Søreide, T. (2005). Is it right to rank? Limitations, implications and potential improvements of corruption indices. Paper presented at the IV global forum on fighting corruption, Brasilia, June 7–10.
Transparency International. (2010). Corruption perception index 2010. http://www.transparency.org/policy_research/surveys_indices/cpi/2010. Accessed 14 June 2011.
UNDP Oslo Governance Centre. (2008). A user’s guide to measuring corruption. http://www.undp.org/oslocentre/docs08/users_guide_measuring_corruption.pdf. Accessed 14 June 2011.
Wang, S., & Hu, A. (2000). The political economy of uneven development: The case of china. New York: M E Sharpe, Inc.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Song, X., Cheng, W. Perception of Corruption in 36 Major Chinese Cities: Based on Survey of 1,642 Experts. Soc Indic Res 109, 211–221 (2012). https://doi.org/10.1007/s11205-011-9896-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11205-011-9896-4