Counting the Invisible: The Challenges and Opportunities of the SDG Indicator Framework for Statistical Capacity Development

Avendaño, Rolando; Jütting, Johannes P.; Kuhm, Manuel

doi:10.1007/978-3-030-57938-8_15

Cited by 3 publications

References 12 publications

(10 reference statements)

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Harmonising Global Public Policy: Producing Global Standards, Local Data and Statistical Capacity Development

Bandola‐Gill

Grek

Tichenor

2022

Sustainable Development Goals Series

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This chapter explores the ideas and practices of ‘harmonisation’ by International Organisations (IOs). The concept of harmonisation emerges as one of the central ways in which International Organisations govern the multiplicity of country-level measures to create universal, global-level metrics. By coordinating the multiplicity of actors (including country governments, civil society and various experts), the IOs aim to achieve the development of the universal measures, allowing for comparison between the countries and monitoring of progress across the goals whilst sustaining the country ownership of data and indicators and their active participation in shaping the agenda. In order to achieve this goal, the process of harmonisation requires constant navigation between country-level measures, grounded in specific political and historical contexts, and global standards, striving for universality and internationalisation of measurement.

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Harmonising Global Public Policy: Producing Global Standards, Local Data and Statistical Capacity Development

Bandola‐Gill

Grek

Tichenor

2022

Sustainable Development Goals Series

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Statistical capacity development and the production of epistemic infrastructures

Tichenor

2022

Policy and Society

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Designating statistical capacity development as a target for measurement in the Sustainable Development Goals (SDGs) created a dilemma for statistical decision-makers in the United Nations system, as some saw the inclusion of statistical capacity in SDG17 as a “conflict of interest,” making their work both a goal of the SDGs and a means to achieve them. In 2022, there are five indicators for measuring both the statistical capacity of individual countries and the support provided to strengthen it, including one indicator for measuring a country’s ability to monitor the SDGs themselves. In this article, I argue that the epistemic infrastructuring of statistical capacity into the SDG framework is a privileged case. By parsing the interconnections between the data, actors, networks, and processes that constitute statistical capacity on national and global levels, we can understand how central these materialities and processes are in constituting the larger policy agenda of the SDGs as well as debates over the problems that statistical capacity is meant to solve. Like all indicators in the SDG framework, statistical capacity indicators are performative – defined and delineated by the global statistics community that also helps define and delineate the SDG framework’s development problems. Unlike other indicators, however, statistical capacity indicators have the added weight of also producing the conditions of possibility for the “SDG framework itself.” In this way, debates over what constitutes statistical capacity and its strengthening are also debates about ownership of policy agendas and where tensions between the local and global erupt.

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A methodology for assessing the impact of integration processes on the achievement of sustainable development of the EAEU member states

MAKAROVA

2024

RETP

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Subject. This article considers the variety of forms of economic integration and the environmental factor importance in the development of the world economy. Objectives. The article aims to analyze the policies of various integration associations to achieve the Sustainable Development Goals. Methods. For the study, I used an econometric analysis. Results. The article presents an author-developed model that can help assess the impact of various policies to achieve Sustainable Development Goals on the integration of a country (group of countries) into the global economy. Conclusions. The results of the study can be used to assess policy initiatives aimed at achieving the Sustainable Development Goals.

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Counting the Invisible: The Challenges and Opportunities of the SDG Indicator Framework for Statistical Capacity Development

Cited by 3 publications

References 12 publications

Harmonising Global Public Policy: Producing Global Standards, Local Data and Statistical Capacity Development

Harmonising Global Public Policy: Producing Global Standards, Local Data and Statistical Capacity Development

Statistical capacity development and the production of epistemic infrastructures

A methodology for assessing the impact of integration processes on the achievement of sustainable development of the EAEU member states

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