Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Senior Research Investigator



+44 (0)20 7594 2843d.j.hand CV




Mrs Agnieszka Damasiewicz Niccolai +44 (0)20 7594 2843




547Huxley BuildingSouth Kensington Campus






BibTex format

author = {Allin, P and Hand, DJ},
doi = {10.1111/insr.12215},
journal = {International Statistical Review},
pages = {355--370},
title = {From a system of national accounts to a process of national wellbeing accounting},
url = {},
volume = {85},
year = {2017}

RIS format (EndNote, RefMan)

AB - There are repeated calls to go “Beyond GDP”, for measures of wellbeing and progress in addition to those that the System of National Accounts (SNA) is designed to provide. We identify key issues that can help build on the rigour of SNA whilst fitting the measurement of economic performance within a broader assessment of national wellbeing and progress. Such drivers are already leading to a proliferation of indicators and accounts, for example in the development of non-monetary measures of natural resources. There are significant measurement challenges, not least the question of whether a single, overall measure or index of wellbeing is valid. But the challenge of measurement, per se, is one thing: in our view, a more critical issue is whether the measures will actually be used. We propose a dynamic and multi-staged approach for developing SNA, embracing the production and use of measures. This would start by identifying user requirements for wider measures, to provide the basis for national and cross-national developments in wellbeing accounting. We envisage greater branding and marketing of national wellbeing concepts to promote measures and support their use. We call for outreach by producers, so that there is dialogue about the development and use of measures.
AU - Allin,P
AU - Hand,DJ
DO - 10.1111/insr.12215
EP - 370
PY - 2017///
SN - 1751-5823
SP - 355
TI - From a system of national accounts to a process of national wellbeing accounting
T2 - International Statistical Review
UR -
UR -
VL - 85
ER -