The DOI matches its Crossref record.
Do low-skilled workers gain from high-tech employment growth? High-technology multipliers, employment and wages in Britain
Open accessAbstract
Do low-skilled workers benefit from the growth of high-technology industries in their local economy? Policymakers invest considerable resources in attracting and developing innovative, high-tech industries, but there is relatively little evidence on the distribution of the benefits. This paper investigates the labour market impact of high-tech growth on low and mid-skilled workers, using data on UK local labour markets from 2009–2015. It shows that high-tech industries – either STEM-intensive ‘high-tech’ or digital economy – have a positive jobs multiplier, with each 10 new high-tech jobs creating around 7 local non-tradeable service jobs, around 6 of which go to low-skilled workers. Employment rates for mid-skilled workers do not increase, but they benefit from higher wages. Yet while low-skilled workers gain from higher employment rates, the jobs are often poorly paid service work, so average wages fall, particularly when increased housing costs are considered.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“But the empirical reality is less clear, with some research finding little to no connection between, for example, high- growth entrepreneurship and overall regional prosperity (Lee & Rodríguez- Pose, 2021 ; Lee & Clarke, 2019).”
From Toward an Entrepreneurial Ecosystem Research Program (2022) · cites this paper as Lee & Clarke, 2019
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 41
- Autor, 2013, The growth of low skill service jobs and the polarization of the US labor market, Am. Econ. Rev., 103, 1553, 10.1257/aer.103.5.1553 · DOI · Paper page
- Bakhshi, 2009, Creative supply-chain linkages and innovation: do the creative industries stimulate business innovation in the wider economy? Innovation: management, Policy and Practice, 11, 169, 10.5172/impp.11.2.169 · DOI
- Berry, 2016, The great British ‘rebalancing’ act: the construction and implementation of an economic imperative for exceptional times, Br. J. Polit. Int. Relat., 18, 3, 10.1111/1467-856X.12063 · DOI
- Breau, 2014, On the relationship between innovation and wage inequality: new evidence from Canadian cities, Econ. Geogr., 90, 351, 10.1111/ecge.12056 · DOI
- Brown, 2014, Inside the high-tech black box: A critique of technology entrepreneurship policy, Technovation, 34, 773, 10.1016/j.technovation.2014.07.013 · DOI
- Donegan, 2008, Inequality in the creative city: is there still a place for ‘old-fashioned’ institutions?, Econ. Dev. Q., 22, 46, 10.1177/0891242407310722 · DOI
- Echeverri-Carroll, 2009, Wage differentials and the spatial concentration of high-technology industries, Pap. Reg. Sci., 88, 623, 10.1111/j.1435-5957.2008.00199.x · DOI
- Echeverri-Carroll, 2018, Unintended consequences on gender diversity of high-tech growth and labor market polarization, Res. Policy, 47, 209, 10.1016/j.respol.2017.10.013 · DOI
- Faggio, 2014, The effect of public sector employment on local labour markets, J. Urban Econ., 79, 91, 10.1016/j.jue.2013.05.002 · DOI
- Fallah, 2014, Geography and high-tech employment growth in US counties, J. Econ. Geogr., 14, 683, 10.1093/jeg/lbt030 · DOI
- Foord, 2013, The new boomtown? Creative city to Tech City in east London, Cities, 33, 51, 10.1016/j.cities.2012.08.009 · DOI
- Gitell, 2014, Do entrepreneurship and high-tech concentration create jobs? Exploring the growth in employment in U.S. metropolitan areas from 1991 to 2007, Econ. Dev. Q., 28, 244, 10.1177/0891242414530467 · DOI
- Goetz, 2011, Sharing the gains of local economic growth: race-to-the-top versus race-to-the-bottom economic development, Environ. Plann. C Gov. Policy, 29, 428, 10.1068/c1077r · DOI
- Gordon, 1999, Targeting a leaky bucket, New Econ., 6, 199, 10.1111/1468-0041.00101 · DOI
- Green, 2017, Involuntary non-standard employment in Europe, Eur. Urban Reg. Stud., 24, 175, 10.1177/0969776415622257 · DOI
- Hecker, 2005, High-technology employment: a NAICS-based update, Mon. Labour Rev., 128, 57
- Isaksson, 2016, Knowledge spillovers in the supply chain: evidence from the high-tech sectors, Res. Policy, 45, 699, 10.1016/j.respol.2015.12.007 · DOI
- Jaeger, 2018, Shift-share instruments and the impact of immigration (No. 24285), National Bureau of Economic Research
- Jarrell, 1996, Visionary or bureaucrat? T. H. Huxley, the science and art department and science teaching for the working class, Ann. Sci., 55, 219, 10.1080/00033799800200181 · DOI
- Kaplanis, 2010, Local human capital and its impact on local employment chances in Britain, Spatial Economics Research Centre Working Paper, 40
- Kaplanis, 2010, Wage effects from changes in local human capital in Britain, Spatial Economics Research Centre Working Paper, 39
- Kemeny, 2018, The wider impacts of high-technology employment: evidence from US cities, Res. Policy, 47, 1729, 10.1016/j.respol.2018.06.005 · DOI
- Kerry, 2016, Open innovation, triple Helix and regional innovation systems: exploring CATAPULT centres in the UK, Ind. High. Educ., 30, 67
- Lee, 2011, Are innovative regions more unequal? Evidence from Europe, Environ. Plann. C Gov. Policy, 29, 2, 10.1068/c1046r · DOI
- Lee, 2013, Innovation and spatial inequality in Europe and USA, J. Econ. Geogr., 13, 1, 10.1093/jeg/lbs022 · DOI
- Lee, 2016, Is there trickle-down from tech? Poverty, employment and the high-technology multiplier in US cities, Ann. Assoc. Am. Geogr., 106, 1114
- Lee, 2017, Powerhouse of cards? Understanding the ‘Northern Powerhouse’, Reg. Stud., 51, 478, 10.1080/00343404.2016.1196289 · DOI
- Mazzolari, 2013, Spillovers from high-skill consumption to low-skill labor markets, Rev. Econ. Stat., 95, 74, 10.1162/REST_a_00234 · DOI
- Moretti, 2010, Local multipliers, Am. Econ. Rev. Pap. Proceed., 100, 1
- Moretti, 2013, Local multipliers and human capital in the US and Sweden, Ind. Corp. Chang., 22, 339, 10.1093/icc/dts051 · DOI
- Nathan, 2014, Here be startups: exploring London’s ‘Tech city’ digital cluster, Environ. Plan. A, 46, 2283, 10.1068/a130255p · DOI
- North, 1955, Location theory and regional economic growth, J. Polit. Econ., 63, 243, 10.1086/257668 · DOI
- Salvatori, 2018, The anatomy of job polarisation in the UK, J. Labour Mark. Res., 52, 1
- Saxenian, 1983, The urban contradictions of Silicon Valley: regional growth and the restructuring of the semiconductor industry, Int. J. Urban Reg. Res., 7, 237, 10.1111/j.1468-2427.1983.tb00592.x · DOI
- Sissons, 2018, Linking the employment structure and household poverty in the United Kingdom, Work. Employ. Soc., 32, 1078, 10.1177/0950017017722939 · DOI
- Stilgoe, 2013, Developing a framework for responsible innovation, Res. Policy, 42, 1568, 10.1016/j.respol.2013.05.008 · DOI · Paper page
- Tiebout, 1956, A pure theory of local expenditures, J. Polit. Econ., 64, 415, 10.1086/257839 · DOI · Paper page
- Van Dijk, 2017, Local employment multipliers in U.S. Cities, J. Econ. Geogr., 17, 465
- Winters, 2014, STEM graduates, human capital externalities, and wages in the U.S, Reg. Sci. Urban Econ., 48, 190, 10.1016/j.regsciurbeco.2014.07.003 · DOI
- Youtie, 2008, Building an innovation hub: a case study of the transformation of university roles in regional technological and economic development, Res. Policy, 37, 1188, 10.1016/j.respol.2008.04.012 · DOI
- Zehavi, 2017, Distribution sensitive innovation policies: conceptualisation and empirical examples, Res. Policy, 46, 327, 10.1016/j.respol.2016.11.007 · DOI
Cited by
Sorted by citations
Toward an Entrepreneurial Ecosystem Research Program
Wurth, B., Stam, E., & Spigel, B. (2022) · Entrepreneurship Theory and Practice · doi:10.1177/1042258721998948 · Cited by 789
“But the empirical reality is less clear, with some research finding little to no connection between, for example, high-growth entrepreneurship and overall regional prosperity (Lee & Rodríguez-Pose, 2021 ; Lee & Clarke, 2019).”
Metadata
- Authors
- Lee, N., & Clarke, S.
- Affiliations
- London School of Economics and Political Science (GB)
- Corresponding author
- Lee, Neil
- ORCID
- Lee, Neil
- Venue
- Research Policy
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 48
- Issue
- 9
- Pages
- 103803
- ISSN
- 0048-7333 (ISSN-L)
- OpenAlex
- W2948977440
- Cited by
- 141
- References
- 0
- Citations by year
- 2026: 15 · 2025: 17 · 2024: 37 · 2023: 28 · 2022: 18 · 2021: 12 · 2020: 12 · 2019: 2
- FWCI
- 13.73
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Research Policy (publishedVersion, cc-by)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- London School of Economics and Political Science Theses Online (London School of Economics and Political Science) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Economic and Social Research Council
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Agglomeration and Urban Systems
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Regional Economic Trends and Sectoral Structure
- Keywords
- high-tech industry, low-skilled workers, digital economy, local labor markets, wages, employment rate, housing costs, service sector employment, regional economic development, United Kingdom
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review