浙江大学学报:人文社会科学版
浙江大學學報:人文社會科學版
절강대학학보:인문사회과학판
Journal of Zhejiang University(Humanities and Social Sciences)
2014年
4期
134~145
,共null页
薪酬水平 政府规模 经济发展 固定效应模型 腐败程度
薪酬水平 政府規模 經濟髮展 固定效應模型 腐敗程度
신수수평 정부규모 경제발전 고정효응모형 부패정도
wage level; size of government; economic development; fixed effect model; the degree of corruption
在中国廉政建设实践中,经济发展、制度结构与腐败程度之间究竟存在何种关系,一直是学界争论的热点问题之一。基于G省21个地级市20062010年面板数据构建的固定效应模型显示,当把地区国内生产总值、政府规模和公务员相对工资三个变量引入分析模型后,目前阶段经济发展水平、政府规模和公务员相对工资与腐败程度之间均呈正相关关系,即经济发展水平的提升和制度结构因素的变化均未起到遏制腐败蔓延的作用。这就意味着,在一定发展时期内,单纯依靠提高经济发展水平、优化政府规模和改善公务员的薪酬结构不能有效地遏制腐败行为,反腐败必须依靠更系统的制度变革。
在中國廉政建設實踐中,經濟髮展、製度結構與腐敗程度之間究竟存在何種關繫,一直是學界爭論的熱點問題之一。基于G省21箇地級市20062010年麵闆數據構建的固定效應模型顯示,噹把地區國內生產總值、政府規模和公務員相對工資三箇變量引入分析模型後,目前階段經濟髮展水平、政府規模和公務員相對工資與腐敗程度之間均呈正相關關繫,即經濟髮展水平的提升和製度結構因素的變化均未起到遏製腐敗蔓延的作用。這就意味著,在一定髮展時期內,單純依靠提高經濟髮展水平、優化政府規模和改善公務員的薪酬結構不能有效地遏製腐敗行為,反腐敗必鬚依靠更繫統的製度變革。
재중국렴정건설실천중,경제발전、제도결구여부패정도지간구경존재하충관계,일직시학계쟁론적열점문제지일。기우G성21개지급시20062010년면판수거구건적고정효응모형현시,당파지구국내생산총치、정부규모화공무원상대공자삼개변량인입분석모형후,목전계단경제발전수평、정부규모화공무원상대공자여부패정도지간균정정상관관계,즉경제발전수평적제승화제도결구인소적변화균미기도알제부패만연적작용。저취의미착,재일정발전시기내,단순의고제고경제발전수평、우화정부규모화개선공무원적신수결구불능유효지알제부패행위,반부패필수의고경계통적제도변혁。
It has been a widely discussed academic issue that what is the relationship between economic development, institutional structure, and the degree of corruption in the practice of anti-corruption campaign in China. However the existing literature largely focuses on cross-national data to analyze the causes of corruption and overlooks social, economic, and in particular, cultural factors in different countries. In the mean time current research on corruption in China remains on the level of macro-factor analysis due to data scarcity. There have been few empirical studies to test the research hypothesis based on large sample data. In general the "real world" inquiry of corruption in transitional China is largely lacking. This article first provides a comprehensive review on causal factors of corruption in China and abroad based on the state-centered and market-centered development and institutional structure factors may paradigms and elucidates how economic have a significant impact on curbing corruption. Following the theoretical review this article uses the panel data from 2006 - 2010 in 21 prefecture-level cities in G province to analyze the relationship between economic development, institutional structure factors and the degree of corruption. Based on fix-effect panel data model, local Gross Domestic Product (GDP), government size, and relative pay scale of civil servants are used as proxy of economic development and institutional structure factors. It is found that all the above-mentioned factors had a positive impact on corruption and neither was able to curb corruption at the local level. It is argued that in a certain time period economic development and institutional advancement could not provide strong anti-corruption mechanisms. The policy implication of this research indicates that the reliance on promoting economic development, optimizing government size, and improving civil servants' pay are not effective in anti-corruption campaigns. More systematic institutional reforms have to be put in place to curb corruption. There are several important contributions of this article. First of all, city-level data is used to measure the impact of economic development and institutional structure on corruption, in comparison to most existing literature that relied on cross-national or provincial level data. City-level data limits the scope of analysis and unifies the socio-economic characters of the unit of analysis, which significantly improves the validity and explanatory power of this research. Moreover, due to data limitation most existing research uses basic pay of civil servant as the proxy of institutional structure and ignores the existence of large amount of allowances as part of civil servants' income. This research collects internal pay data from local disciplinary inspection committees and uses actual pay statistics that include both fringe allowances and basic pays. This data provides a much better measurement and improves the validity and explanatory power of this research. Due to the limitation of data availability, ambiguity of corruption measures, and varying statistical standards in different cities this article could not include all necessary control variables in the model, which may present potential validity threat to the explanatory power of this research. This methodological issue is a limitation of similar studies and should be addressed in future research.