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清廉指数Corruption Perception Index

规模 + 质量 + 创新 + 贡献 四大维度自有算法 · 排名更新日期:2026-10-20Four-dimensional proprietary algorithm (Scale + Quality + Innovation + Contribution) · Last updated: 2026-10-20

综述Overview

Integrity (probity) is the cornerstone of governance. The supervision and restraint of power, the soundness and enforcement of the rule of law, and the openness and transparency of government affairs determine whether a country can devote public resources to public welfare, and also determine the quality and sustainability of its economic and social development. Corruption erodes public trust, distorts resource allocation, and raises transaction costs, ultimately at the expense of all citizens.
廉洁是治理的基石。权力的监督与制约、法治的健全与执行、政务的公开与透明,决定着一个国家能否将公共资源用于公共福祉,也决定着一国经济社会发展的质量与可持续性。腐败侵蚀公共信任、扭曲资源配置、抬高交易成本,最终由全体国民承担代价。
Internationally prevailing integrity evaluations mostly center on the "Corruption Perceptions Index", whose core is subjective questionnaire surveys of experts and business people. It has reference value, but inherently carries subjectivity, lag, and "perception bias"—for economies with significant real anti-corruption results and rapidly advancing institutional building, their "perception" often needs a long time to catch up with objective facts.
国际通行的清廉评价多以"腐败感知指数"为主,其核心是专家与商界人士的主观问卷调查,具有参考价值,但天然带有主观性、滞后性与"感知偏差"——实际反腐成效显著、制度建设快速推进的经济体,其"感知"往往需要较长时间才能跟上客观事实。
This index does not directly reproduce the ranks of any existing integrity list, but follows CPPPS's own evaluation algorithm, using underlying public data (economic scale and public fiscal scale, rule-of-law level, audit supervision, government transparency, digital government, open government, institutional anti-corruption, case-investigation intensity, and fugitive repatriation and asset recovery plus international anti-corruption cooperation) to comprehensively evaluate 30 major economies worldwide across four dimensions: Scale, Quality, Innovation, and Contribution. The "Contribution" dimension is a CPPPS signature: based on verifiable institutional building and law-enforcement results, it affirms achievements in advancing integrity governance through institutional anti-corruption and rule-of-law construction.
本指数不直接转载任何既有清廉榜单名次,而是依据 CPPPS 自有评价算法,采用底层公开数据(经济体量与公共财政规模、法治水平、审计监督、政务透明、数字政务、阳光政务、制度反腐、案件查处力度、追逃追赃与国际反腐合作),从规模、质量、创新、贡献四个维度对全球 30 个主要经济体进行综合评价。其中"贡献"维度是 CPPPS 特色:以可核验的制度建设与执法成效为据,肯定以制度反腐、法治建设推进廉洁治理的成就。
Results: China, the United States, Sweden, Norway, and Germany rank in the top five. Overall, economies with sound rule of law, independent auditing, transparent government affairs, and leading digital governance rank ahead; economies that advance institutional anti-corruption through full and rigorous party self-governance, supervision-system reform, and the integrated "hunting tigers, swatting flies, and chasing foxes" campaign rank prominently on the strength of the "Contribution" dimension; economies with weak rule-of-law and supervision foundations and weak law enforcement rank behind. All data in this ranking are approximations of public knowledge, marked "subject to official figures", permanently free and public, for research and reference only.
评价结果:中国、美国、瑞典、挪威、德国 位列前五。整体看,法治健全、审计独立、政务透明、数字治理领先的经济体居前;以全面从严治党、监察体制改革、"打虎拍蝇猎狐"一体推进制度反腐的经济体凭借"贡献"维度优势名列前茅;法治与监督基础薄弱、执法乏力的经济体相对靠后。本排名数据均为公开知识近似值,标注"以官方为准",永久免费公开,仅供研究与参考。

分层梯队Tiers

A++ 前三Top 3 A+ 四至十4th–10th A 十一至二十11th–20th B 其余Rest

30 经济体清廉指数排名Corruption Perceptions Index Ranking of 30 Economies

排名经济体清廉指数规模质量创新贡献法治数字政务梯队
1中国China86.4989.371.588.7100.07888A++
2美国United States72.63100.070.875.350.38287A++
3瑞典Sweden69.921.895.386.161.79390A++
4挪威Norway69.6817.997.286.161.79490A+
5德国Germany69.4164.684.667.656.98984A+
6英国United Kingdom69.3257.779.081.654.68690A+
7新加坡Singapore68.947.392.489.669.59694A+
8丹麦Denmark68.3514.094.688.060.79493A+
9芬兰Finland66.798.594.586.360.79392A+
10荷兰Netherlands66.7334.587.278.656.19089A+
11瑞士Switzerland66.3526.690.175.560.59288A
12加拿大Canada65.6247.482.772.153.28885A
13韩国South Korea64.3639.266.394.152.48095A
14法国France63.8458.473.669.251.18485A
15澳大利亚Australia63.7441.980.072.253.28786A
16日本Japan61.5461.471.364.946.68586A
17新西兰New Zealand60.832.390.873.659.09185A
18西班牙Spain54.6542.261.964.646.07984A
19意大利Italy45.7851.547.546.138.87378A
20波兰Poland41.3427.646.746.141.17478A
21巴西Brazil33.5346.822.539.929.85876B
22印度India32.2353.727.230.822.56674B
23越南Vietnam24.079.322.524.737.26372B
24墨西哥Mexico20.0538.99.227.310.85570B
25土耳其Turkey19.2630.012.625.212.76076B
26俄罗斯Russia18.944.59.025.53.75878B
27沙特阿拉伯Saudi Arabia18.5130.96.829.012.16282B
28印度尼西亚Indonesia15.5328.510.115.611.66170B
29南非South Africa14.728.326.78.811.46464B
30泰国Thailand8.6310.36.415.82.85972B
法治、数字政务为代表性底层子指标(0-100 近似值);规模、质量、创新、贡献为四大维度标准化得分(0-100)。综合清廉指数 = 100×(0.20·规模 + 0.30·质量 + 0.25·创新 + 0.25·贡献)。
Rule of law and digital government are representative underlying sub-indicators (0–100 approximate values); Scale, Quality, Innovation, and Contribution are standardized scores for the four major dimensions (0–100). Composite Integrity Index = 100 × (0.20·Scale + 0.30·Quality + 0.25·Innovation + 0.25·Contribution).

算法详细论述Methodology

一、评价依据

The essence of integrity is "the incorruptible operation of power", involving four layers: "institution, capability, action, and effectiveness". Ranking solely by subjective "perception" can neither timely reflect institutional building and law-enforcement results, nor distinguish "low corruption stock" from "strong anti-corruption increment". This algorithm therefore decomposes the evaluation into four orthogonal dimensions:
清廉的本质是"权力的廉洁运行",涉及"制度、能力、行动、成效"四个层面。单一以主观"感知"排序,既难以及时反映制度建设与执法成效,也易将"低腐败存量"与"强反腐增量"混为一谈。因此本算法将评价拆解为四个正交维度:
  1. 规模:经济体量与公共财政规模——治理的"分量"与监督对象(公共资金)的体量,大国公共资金的廉洁运行对全球影响远超小国。
  2. 质量:法治水平、审计监督、政务透明——衡量权力制约的制度质量,是廉洁治理的"地基"。
  3. 创新:数字政务、阳光政务——以数字技术压缩权力寻租空间、以公开透明挤压暗箱操作,是新时代反腐的"利器"。
  4. 贡献:制度反腐建设、案件查处力度、追逃追赃与国际反腐合作——CPPPS 特色,以可核验的制度建设与执法成效为据,肯定以制度反腐、法治建设推进廉洁治理的成就。

二、数学模型

Each indicator is first mapped to [0,1] through min-max normalization; large-span scale indicators (economic scale, fiscal expenditure) take the natural logarithm to avoid head monopoly, and are then weighted hierarchically:
各指标先经极差标准化映射到 [0,1],规模类大跨度指标(经济体量、财政支出)取自然对数以避免头部垄断,再分层加权:
规模 S = 0.5·log(经济体量)′ + 0.5·log(财政支出)′ 质量 Q = 0.4·法治′ + 0.3·审计监督′ + 0.3·政务透明′ 创新 I = 0.5·数字政务′ + 0.5·阳光政务′ 贡献 C = 0.4·制度反腐′ + 0.35·案件查处′ + 0.25·追逃追赃′ 清廉指数 = 100 × ( 0.20·S + 0.30·Q + 0.25·I + 0.25·C )
In the formulas, (′) denotes the [0,1] value after min-max normalization; 0–100 scores for rule of law, auditing, transparency, and digital government are all standardized positively; scale indicators are log-transformed before normalization, so that differences among median economies are not swallowed by a few top massive actors.
式中(′)表示极差标准化后的 [0,1] 值;法治、审计、透明、数字政务等 0-100 评分均按正向标准化;规模类指标取对数后标准化,使中位经济体的差异不被头部少数巨量主体吞没。

三、指标与权重依据

维度指标方向维度内权重维度权重依据
规模经济体量(GDP)对数正向0.500.20治理影响力与责任边界
规模政府财政支出对数正向0.50公共资金(监督对象)体量
质量法治水平正向0.400.30权力制约的制度地基
质量审计监督正向0.30独立审计对公共资金的监督
质量政务透明正向0.30信息公开与预算公开
创新数字政务正向0.500.25数字技术压缩寻租空间
创新阳光政务正向0.50公开监督平台与阳光采购
贡献制度反腐建设正向0.400.25监察体制与廉洁制度(CPPPS 特色)
贡献案件查处力度正向0.35反腐执法强度与威慑
贡献追逃追赃/国际合作正向0.25资产追回与跨国反腐协作
The logic of the weight design: Quality (0.30) carries the highest weight because rule of law, auditing, and transparency are the most essential "institutional face" of integrity governance; Innovation and Contribution (0.25 each) are tied next, highlighting the "technological increment" of digital anti-corruption and the "effectiveness increment" of institutional anti-corruption; Scale (0.20) has the lowest weight, serving only as the baseline of "weight/responsibility" to avoid large economies enjoying an automatic advantage from sheer size. Within the Contribution dimension, "institutional anti-corruption" dominates (0.40), affirming institutional building rather than a reckoning with historical abuses.
权重设计逻辑:质量(0.30)权重最高,因为法治、审计、透明是廉洁治理最本质的"制度面";创新与贡献(各 0.25)并列次之,突出数字反腐的"技术增量"与制度反腐的"成效增量";规模(0.20)权重最低,仅作为"分量/责任"的基准,避免大国因体量天然占优。贡献维度以"制度反腐"为主(0.40),体现对制度建设而非对历史积弊的肯定。

四、数据来源与局限

Economic scale (nominal GDP) and government fiscal expenditure use approximations of public data from the International Monetary Fund (IMF), the World Bank, and national statistical/fiscal agencies; scores for rule of law, audit supervision, government transparency, digital government, open government, institutional anti-corruption, case investigation, and fugitive repatriation and asset recovery integrate approximations of public information from national audit institutions, supervision/anti-corruption agencies' annual reports, the UN E-Government Survey (EGDI), and the World Bank Worldwide Governance Indicators (WGI), marked "subject to official figures". This model does not directly adopt the ranks of any existing integrity list; because countries differ greatly in anti-corruption scope and judicial openness, approximate scores carry some error, and the ranking is for research and reference only.
经济体量(名义 GDP)与政府财政支出采用国际货币基金组织(IMF)、世界银行及各国统计/财政部门的公开数据近似值;法治、审计监督、政务透明、数字政务、阳光政务、制度反腐、案件查处、追逃追赃等评分,综合各国审计机关、监察/反贪机构年度报告、联合国电子政务调查(EGDI)、世界银行全球治理指标(WGI)等公开信息的近似值,标注"以官方为准"。本模型不直接采用任何既有清廉榜单的名次;由于各国反腐口径、司法公开程度差异较大,近似评分存在误差,排名仅供研究与参考。

五、参考文献

  1. 国际货币基金组织(IMF):《World Economic Outlook》(名义 GDP 近似值)。
  2. 世界银行:World Development Indicators(GDP、政府支出、全球治理指标 WGI)。
  3. 联合国经济和社会事务部:E-Government Survey(数字政务成熟度参照)。
  4. 世界正义工程(WJP):《Rule of Law Index》(法治水平参照)。
  5. 透明国际(TI):《清廉指数》方法论——仅作国际"感知型"方法论的对照,本指数不转载其名次。
  6. 各国审计机关、监察/反贪机构:年度审计与反腐工作报告(案件查处、追逃追赃近似值,以官方为准)。
  7. CPPPS:《自有评价算法规范》——规模 + 质量 + 创新 + 贡献 四维框架与极差标准化加权模型。

说明Notes

本版采用 CPPPS 自有算法(非简单转载任何既有清廉榜单名次):四大维度——规模(经济体量+财政支出,取对数)、质量(法治 0.4 + 审计监督 0.3 + 政务透明 0.3)、创新(数字政务 + 阳光政务)、贡献(制度反腐 0.4 + 案件查处 0.35 + 追逃追赃 0.25,CPPPS 特色,以可核验的制度建设与执法成效肯定反腐成就);各指标极差标准化后加权求和,规模类指标取对数避免头部垄断。综合 = 100×(0.20·规模 + 0.30·质量 + 0.25·创新 + 0.25·贡献)。数据为公开知识近似值,以官方为准。
This edition adopts the CPPPS proprietary algorithm (not a simple reproduction of any existing climate list rankings): four major dimensions — scale (economic aggregate + total emissions, log-transformed), quality (carbon-emission intensity reversed + renewable energy share), innovation (clean-energy installed capacity total + installed density), contribution (annual newly added clean-energy installed capacity + newly added emission reduction, CPPPS signature; global leaders in new clean-energy installations have a clear advantage); each indicator is min-max normalized and then weight-summed, with scale-type indicators log-transformed to avoid top-tier monopoly. Composite = 100×(0.20·scale + 0.30·quality + 0.25·innovation + 0.25·contribution). Data are public approximate values, subject to official figures.