1. Main points

  • This is the fourth release of experimental estimates of quarterly multi-factor productivity (MFP) for the UK market sector and the third to be published on the same timetable as our regular labour productivity estimates; a simple guide to MFP is also available.

  • Compared with the same quarter in 2017, MFP in Quarter 4 (Oct to Dec) 2018 is estimated to have decreased by 0.6%; this contrasts with trend growth in MFP of around 1% per year prior to the financial crisis.

  • The difference between this and the growth of labour productivity (negative 0.1% across the market sector on an output per hour basis) reflects strengthening labour composition, which in turn reflects an increase in the share of hours worked by workers with higher education qualifications.

  • Capital services per hour worked has also been exceptionally weak by historic standards, reflecting sluggish growth in investment and, until recently, buoyant growth in hours worked, with zero impact on the growth of labour productivity in the year to Quarter 4 2018.

  • For 2018 as a whole, growth of MFP was approximately zero as the growth of output was matched by the growth of labour and capital inputs; this was the weakest since 2013.

  • Over the last decade, since the 2008 financial crisis, non-financial services have made a positive contribution to MFP, while all other sectors have made negative contributions.

  • This release contains provisional MFP results for sub-sectors of manufacturing; these estimates show wide variation in output growth, input growth and MFP across manufacturing; we plan to publish further industry detail in future releases.

  • Users who previously used our standalone quality-adjusted labour input (QALI) or volume indices of capital services (VICS) articles should find any previously published data alongside this article.

Back to table of contents

2. Things you need to know about this release

This release presents new experimental quarterly multi-factor productivity (MFP) estimates for the UK market sector, which may not be fully consistent with our other published data. MFP estimates are compiled within a growth accounting framework, which decomposes changes in economic output (in this case, of the UK market sector) into contributions due to changes in measured inputs of factors of production (labour and capital) and a residual element known as MFP.

In the growth accounting framework, the contribution of labour to changes in economic output takes account of changes in labour composition or “quality” of the employed labour force, as well as changes in the “volume” of labour measured by hours worked.

Movements in capital inputs are captured through capital services. Conceptually, this is analogous to the treatment of labour input insofar as weights are given to different forms of capital (such as machinery and software) to reflect their estimated contribution to the production process. However, unlike labour, where hours worked can be directly observed, there is no equivalent of a standard unit of capital service and so there is no distinction between the volume and quality of capital.

This is the fourth edition of what is intended to be a routine quarterly series of MFP publications, decomposing changes in UK market sector output into contributions from measured changes in labour and capital inputs and a residual MFP component. This is the third set of estimates to be published on the same timetable as our regular labour productivity quarterly release. This timetable is usually one week after the publication of the quarterly national accounts (QNA) and around 14 weeks after the reference quarter.

Currently these experimental quarterly estimates will be restricted to the aggregate UK market sector and 10 component industries to allow us to strengthen these estimates ready for National Statistics badging. We are investigating the feasibility of publishing a more granular quarterly breakdown by industry in future releases. This release also contains experimental annual MFP estimates for the period 1970 to 2018 for the aggregate market sector and 29 component industries, including for the first time 13 sub-sections of manufacturing. Users should note that due to the use of a new more granular model of labour composition, the estimates for the manufacturing sub-sections are not wholly consistent with the quarterly and annual estimates for the aggregate manufacturing industry.

The regular quarterly MFP publications replace our previous pattern of publishing separate annual articles on quality-adjusted labour input (QALI), volume indices of capital services (VICS) and MFP.

Users should be aware that all percentage changes in this release are expressed as changes in (natural) logarithms, which can differ slightly from the discrete percentage changes typically used in our other statistical releases. The use of log changes allows our productivity decompositions to be exactly additive across components.

Whilst we are publishing quarterly data, we advise focusing on quarter-on-quarter a year ago, as this will better expose underlying trends that may be obscured by volatility in the quarter-on-quarter data.

Hours worked in the UK market sector are aggregated from estimates of each component industry, as set out in Developing improved estimates of quality-adjusted labour inputs using the Annual Survey of Hours and Earnings: a progress report, published in July 2017. These estimates for market sector hours and the corresponding estimates for market sector output per hour currently differ slightly from those in our labour productivity release, although we are working towards aligning the two estimates in future releases.

QALI estimates in this release are updated from those in the previous release on 9 January 2019, principally to take account of updated weights in the Labour Force Survey and revisions to the distribution of employee jobs.

Estimates of capital services have been compiled using new processes and source data, as described in Volume index of UK capital services (experimental): estimates to Quarter 2 (Apr to June) 2017 (published in February 2018). These changes allow estimation of capital services on a quarterly frequency, whereas previously, quarterly capital services could only be derived by interpolation of annual series. The quarterly capital services system is still subject to development and testing.

Back to table of contents

3. Multi-factor productivity estimated to have increased by 0.2% in Quarter 4 2018 but still lower than in 2008

Figure 1 decomposes cumulative quarterly market sector output growth since Quarter 1 (Jan to Mar) 2008 into contributions from capital and labour input growth (the latter separated into contributions from hours and labour composition) and the residual multi-factor productivity (MFP) contribution.

The upward trend in market sector gross value added (GVA) over recent quarters has been roughly matched by increases in hours worked and improvements in labour composition. Capital inputs have also increased, albeit at a very slow pace by historic standards. This implies that the faint upward trend in MFP that began in late 2015 has stalled in recent quarters. Further information is available in the dataset published alongside this release.

The growth accounting framework can be re-arranged to provide a decomposition of movements in labour productivity measured by output per hour, as shown in Figure 2. In this presentation, the capital contribution reflects changes in capital services per hour worked (known as capital deepening). The contributions of labour composition and of MFP are identical between Figures 1 and 2.

Figure 2 highlights the prolonged weakness of market sector labour productivity since the 2008 financial crisis. More than 10 years on, output per hour worked is only just ahead of its level at the end of 2007 and MFP is still 4 percentage points lower, having grown only slowly and intermittently since 2009. This contrasts with trend growth in MFP of around 1% per year prior to the financial crisis (Figure 3).

Capital deepening has also been exceptionally weak by historic standards, reflecting sluggish growth in investment and, until recently, buoyant growth in hours worked. On the other hand, labour composition has steadily improved over the last 10 years.

Further information is available in the MFP01 dataset published alongside this release.

Figure 3 highlights the structural break at the time of the 2008 recession, where capital deepening ceased growing and MFP demonstrated a level-shift downwards, which incremental growth from labour composition and MFP has so far failed to exceed.

Back to table of contents

4. Labour quality grew strongly in the year to Quarter 4 2018

Labour composition (or quality) was unchanged in Quarter 4 (Oct to Dec) 2018 but was still 0.8% higher than in the same quarter of 2017. This reflects a continuing trend for the share of hours worked by workers with higher educational qualifications (and hence, on average, higher wages) to increase.

Figure 4 shows quarterly changes in hours worked broken down by highest education qualification. In general, there is a strong positive correlation between level of education and hourly earnings, so a shift in hours worked towards workers with higher qualifications will typically materialise as an increase in labour quality.

Further information on hours worked and labour composition, including industry components, is available in the QALI00, QALI01 and QALI02 datasets published alongside this release.

We no longer publish standalone articles on quality-adjusted labour input (QALI) but we are publishing all the estimates previously included in QALI articles alongside this article. These include a full set of QALI estimates at the whole economy level (including QALI estimates by industry, education, age group and sex), as well as a full set of QALI estimates for the market sector. Users should note that market sector estimates for labour composition used in multi-factor productivity (MFP) are seasonally adjusted, while those in the QALI standalone datasets are not seasonally adjusted.

Back to table of contents

5. Capital services grew in Quarter 4 2018 but at a decelerating pace

We have revised growth of capital services upwards since the last multi-factor productivity (MFP) release in January 2019, reflecting revised gross fixed capital formation (GFCF) estimates. GFCF estimates used in capital services are based on the same source data used in national accounts estimates of business investment, although the breakdown by asset and industry anticipates improvements scheduled to be introduced into the national accounts in Blue Book 2019.

Business investment fell for four successive quarters up to Quarter 4 (Oct to Dec) 2018, when it was 2.5% lower than in Quarter 4 2017. Our estimates show capital services continuing to grow over these quarters, albeit at a decelerating rate. This suggests that lower levels of new investment were still sufficient to more than offset declines in the stock of productive capital due to wear and tear, and retirements.

Further information including industry components is available in the MFP01 dataset published alongside this release.

We no longer publish standalone articles on volume indices of capital services (VICS) but we are publishing all the estimates previously included in VICS articles alongside this article (in the VICS01 dataset). These include VICS estimates at the A64 industry breakdown (with some very small industries suppressed) and VICS estimates by asset. Users should note that VICS estimates used in MFP are seasonally adjusted while those in the standalone VICS dataset are not seasonally adjusted.

Back to table of contents

6. Industry breakdown

Multi-factor productivity (MFP) decompositions by industry can be volatile, particularly over short time periods. Figure 6 shows considerable variation in all components: labour composition is positive in six industries, negative in two (distribution and transportation and storage) and negligible in the remaining two industries. Capital deepening is positive in five industries, negative in five industries and negligible overall. Movements in MFP are positive in four industries but negative in the other six industries.

Further information including industry components is available in the MFP01 dataset published alongside this release.

Back to table of contents

7. Non-financial services have made a positive contribution to changes in multi-factor productivity since 2007

The MFP01 dataset published alongside this release includes breakdowns of aggregate market sector multi-factor productivity (MFP) into contributions due to individual industries, following the methodology set out by Diewert (2015) in Decompositions of productivity growth into sectoral effects. This is an extension and generalisation of the Tang and Wang (2004) methodology used in our labour productivity release.

Figure 7 shows some illustrative results from the Diewert (2015) methodology, breaking down the cumulative movement in MFP since 2007 into five broad industry groups. According to this analysis, only non-financial services has made a positive contribution to MFP over this period.

The Diewert (2015) methodology can also be used to decompose movements in MFP into “within” industry and “between” industry elements. We welcome views from users on whether this would be helpful.

Back to table of contents

8. What’s changed in this release?

This release introduces the first provisional results from a more granular growth accounting framework. This is identical to the existing framework in terms of gross value added (GVA), capital services, hours worked and factor income weights (that is, aggregated estimates published in previous editions are simple aggregations of the bottom-level industry components). But the new framework utilises a new model of labour composition that is not strictly additive, that is, labour composition aggregated across the bottom-level industries is not consistent with labour composition derived in the existing, more aggregated framework.

The new framework identifies 19 two-digit (and some clustered two-digit) sub-sections of manufacturing and in this case the more granular estimates are almost consistent between the two frameworks. More work is planned to explore the remaining inconsistencies, but in the meantime we are sharing annual multi-factor productivity (MFP) results for 13 two-letter manufacturing sub-sectors such as CA (food products, beverages and tobacco) and CH (basic metals and metal products), consistent with aggregations of industry divisions in the Standard Industrial Classification (SIC) 2007.

For the manufacturing sector as a whole, MFP in 2018 was just 0.3% higher than 2007. But this masks large positive and negative movements in MFP across different sub-sectors.

As shown in Figure 8, the best performing sub-sector in terms of MFP since the economic downturn is CL (transport equipment), while other sub-components with strong positive MFP growth include CE (chemicals and chemical products), CM (other manufacturing) and CI (computer, electronic and optical products). The worst performer in terms of MFP is CF (basic pharmaceutical products and preparations), with CJ (electrical equipment), CH (basic metals and metal products) and CK (machinery and equipment not elsewhere classified) not far behind.

Revisions

For the market sector as a whole, revisions to our MFP estimates since our last MFP release in January 2019 are very small, as shown in Figure 9. Average annual contributions for capital inputs and labour composition have been revised downwards slightly, with corresponding upwards revisions to MFP.

Revisions at component industry level, contained in the MFP01 dataset published alongside this release, additionally reflect revised estimates of hours worked (and, to a lesser extent, of labour composition) and, from Quarter 1 (Jan to Mar) 2018 onwards, revisions to gross value added (GVA) and factor income weights.

Estimates for hours worked, labour composition and factor income weights prior to 1997 have also been revised – in some cases very substantially – to take account of information from different sources. For example, combining information on output and employment for industry B (mining and quarrying) suggests a large decrease in the share of labour income in gross value added as North Sea oil and gas reserves were brought into production.

Back to table of contents

9. Next steps

In addition to ongoing work to expand the level of industry detail, the development priorities of the Office for National Statistics Growth Accounting Team, as set out in our Productivity development plan, published in July 2018, are further developments to capital stocks and capital services, and development of wider measures of MFP. This will build on work in our national accounts division to compile supply and use tables in constant prices as well as in current prices. This will allow industry-level decompositions of real gross output, identifying the separate contribution of real intermediate consumption.

Back to table of contents

Contact details for this Article

Mark Franklin
productivity@ons.gov.uk
Telephone: +44 (0)1633 455981