Monitoring sustainable development goals and the quest for high‐quality indicators

Learning from a practical evaluation of data on corruption

Dados Bibliográficos

ID12306554
AutoresGiulia Mugellini (0000-0002-8213-4250, Institute of Communication and Public Policy (ICPP) Università Della Svizzera Italiana (USI) Lugano Switzerland, autor correspondente), Jean-Patrick Villeneuve (0000-0002-1164-7497, Institute of Communication and Public Policy (ICPP) Università Della Svizzera Italiana (USI) Lugano Switzerland), Margaret Heide (0000-0003-4702-0896, Institute of Communication and Public Policy (ICPP) Università Della Svizzera Italiana (USI) Lugano Switzerland)
Ano2021
Volume29
Fascículo6
Páginas1257-1275
Data de publicação2021-07-10
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainable Development (JOURNAL)
Identificadores do periódicoISSN: 0968-0802 • E-ISSN: 1099-1719
EditoraWiley (PUBLISHER • GB)
DOI10.1002/sd.2223
OpenAlexW3178532558
IdiomaEN
Citações recebidas16
Referências citadas45

Tracing progress in implementing the sustainable development goals (SDGs) is at the core of pushing and accounting for change. However, monitoring SDGs is challenged by a lack of purpose‐fit and high‐quality indicators based on data that are collected through a sound methodology, generated regularly, comparable over time, and publicly accessible. Assessing and improving the quality of existing data is essential for helping countries to generate an evidence base for action. General criteria for evaluating data quality are already available at the national and international level but their practical operationalization for the assessment of specific SDGs indicators is still underdeveloped. Taking target 16.5 as a case study, this paper evaluates the quality of existing corruption surveys and their relevance for SDGs. Results show that the main challenges concern data validity (they measure only one aspect of corruption), comparability (they use culturally biased definitions), periodicity (they are not regularly developed), and raw‐data accessibility. This paper develops an original framework for benchmarking the overall methodological quality of existing corruption metrics. This framework can be used beyond the immediate context of corruption measurement and SDGs assessment. The same logic and methodology can, indeed, be employed to evaluate the quality of other metrics and support national governments and practitioners in identifying the informational and methodological gaps to be addressed in order to improve and make the best use of available statistical information

Benchmarking · Business · Comparability · Context (archaeology · Data quality · Economics · Language change · Management science · Metric (unit · Operationalization · Political science · Process management · Quality (philosophy · Relevance (law · Risk analysis (engineering · Sustainable development · Computer Science · Corruption and Economic Development · Economic Growth and Development · Income, Poverty, and Inequality · Marketing