Imperial College London

ProfessorJonathanHaskel

Business School

Chair in Economics
 
 
 
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Contact

 

+44 (0)20 7594 8563j.haskel Website CV

 
 
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Assistant

 

Ms Donna Sutherland-Smith +44 (0)20 7594 1916

 
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Location

 

296Business School BuildingSouth Kensington Campus

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Summary

 

Publications

Publication Type
Year
to

132 results found

Haskel J, Pesole A, 2011, Productivity and innovation in UK financial services: an intangible assets approach, Publisher: Imperial College Business School

Working paper

Haskel J, Pesole A, Galindo-Rueda F, 2010, How much does the UK employ, spend and invest in design?, Publisher: Imperial College Business School

Working paper

Criscuolo C, Haskel JE, Slaughter MJ, 2010, Global engagement and the innovation activities of firms, INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION, Vol: 28, Pages: 191-202, ISSN: 0167-7187

Journal article

Haskel J, Wallis G, 2010, Public Support for Innovation, Intangible Investment and Productivity Growth in the UK Market Sector

Journal article

Haskel J, Clayton T, Goodridge P, Pesole A, Barnett D, Chamberlain G, Jones R, Khan K, Turvey Aet al., 2010, Innovation, knowledge spending and productivity growth in the UK: interim report for NESTA 'Innovation Index’ project, Publisher: Imperial College Business School

Working paper

Awano G, Franklin M, Haskel J, Kastrinaki Zet al., 2010, Measuring investment in intangible assets in the UK: results from a new survey, Economic and Labour Market Review, Vol: 4, Pages: 66-71

This article presents results of theInvestment in Intangible Asset (IIA)Survey launched by ONS in October2009. It is a new and unique survey offi rms in the UK, drawn from the businessregister to represent the market sectorof the economy. The survey is aimed atmeasuring investment of fi rms in sixcategories of intangible assets, theseare: employer funded training, software,research and development (R&D),reputation and branding, design, andbusiness process improvement. The surveyalso set out to measure the life lengthsof investments in each asset. The resultsshow the overall level of intangible assetspending in the UK is considerable. Thearticle explores the incidence, expenditurelevels and life lengths of these assets

Journal article

Marrano MG, Haskel J, Wallis G, 2009, WHAT HAPPENED TO THE KNOWLEDGE ECONOMY? ICT, INTANGIBLE INVESTMENT, AND BRITAIN'S PRODUCTIVITY RECORD REVISITED, REVIEW OF INCOME AND WEALTH, Vol: 55, Pages: 686-716, ISSN: 0034-6586

Journal article

Clayton T, Dal Borgo M, Haskel J, 2009, An Innovation Index Based on Knowledge Capital Investment: Definition and Results for the UK Market Sector

We (a) propose an implementable innovation index, (b) relate it to existing innovation definitions and (c) show whole-economy and industry-specific results for the UK market sector, 2000-2005. Our innovation measure starts by observing that we could get more GDP without innovation by simply duplicating existing physical capital and labour (e.g. adding a second aircraft and crew on an existing route). Thus we propose to measure innovation as the additional GDP over and above the addition existing physical capital and labour. In our measure this is the contribution to GDP growth of market sector investment in knowledge (or intangible) capital. This contribution is measured from company spending on knowledge/intangible assets and TFP growth. We relate our measure to the literature on innovation definitions, TFP, creative industries and hidden innovation. We implement it for six UK market sector industries, 2000-2005, combining with output and tangible investment data from the EUKLEMS database. Our main findings are as follows. Over 2000-2005, market sector labour productivity grew at 2.74% per annum, of which the contribution of knowledge capital, our innovation measure, was 1.24% pa. In turn, manufacturing accounted for about 60% of this latter figure. If one includes increase in labour skill deepening (0.45% pa) as innovation, then innovation contributed 61% (=(1.24+0.45)/2.74)of labour productivity growth over the period.

Working paper

Clayton T, Dal Borgo M, Haskel J, 2009, An Innovation Index Based on Knowledge Capital Investment: Definition and Results for the UK Market Sector

Journal article

Crespi G, Criscuolo C, Haskel J, 2008, Productivity, exporting, and the learning-by-exporting hypothesis: direct evidence from UK firms, CANADIAN JOURNAL OF ECONOMICS-REVUE CANADIENNE D ECONOMIQUE, Vol: 41, Pages: 619-638, ISSN: 0008-4085

Journal article

Bessant J, Birkinshaw J, Delbridge R, Griffith R, Haskel J, Neely Aet al., 2008, Special report: Competing on knowledge, Business Strategy Review, Vol: 19, Pages: 73-89, ISSN: 0955-6419

Traditionally, the UK has been regarded as good at innovation - with many inventions and scientific breakthroughs. So, can this nation rest easy? No. Based on extensive research by the Advanced Institute of Management Research (AIM), it would appear that the agenda for keeping Britain competitive is a demanding one. Six AIM authors report on what the UK needs to know. And do. © 2008 London Business School.

Journal article

Bartelsman EJ, Haskel J, Martin R, 2008, Distance to Which Frontier? Evidence on Productivity Convergence from International Firm-level Data

An extensive literature on the convergence of productivity between countries examines whether productivity is pulled towards the global frontier country, perhaps due to learning and knowledge spillovers. More recently, studies within countries use the wide dispersion of productivity across firms to explore convergence to the national frontier. Given this within-country dispersion however between country-dispersion is hard to interpret, for it is quite possible that the best firms in a laggard average country are above at least some firms in a leading average country. This paper therefore uses micro data sets across many countries to build better measures of global and national frontiers and firms’ distance from them. Using UK data, we then find that (a) the national frontier exerts a stronger pull on domestic firms than does the global frontier and (b) the pull from the global frontier falls with technological distance, while the pull from the national frontier does not. This result suggests that firms might lag so far technologically that they cannot learn from the global frontier, while they still are able to benefit from domestic knowledge.

Working paper

Haskel JE, Pereira SC, Slaughter MJ, 2007, Does inward foreign direct investment boost the productivity of domestic firms?, REVIEW OF ECONOMICS AND STATISTICS, Vol: 89, Pages: 482-496, ISSN: 0034-6535

Journal article

Haskel J, 2007, Measuring innovation and productivity in a knowledge-based service economy, Economic & Labour Market Review, Vol: 1, Pages: 27-28, ISSN: 1751-8326

Journal article

Boeri T, Castanheira M, Faini R, Galasso V, Navaretti GB, Stéphane C, Haskel J, Nicoletti G, Perotti E, Scarpa C, Tsyganok L, Wey Cet al., 2007, The Maze of Services Regulation, Structural Reforms Without Prejudices, ISBN: 9780199203628

Dismantling the dominant position of an incumbent firm is a daunting task. Liberalization is a difficult process that many European countries have implemented only as a consequence of Directives coming from the European Commission, suggesting that EU institutions which are further away from local specific interests tend to be more market-oriented than national governments. Political commitment to reform is key to its implementation. The reform of the energy, telecommunications, and railway industries; professional services, retailing, postal services, and water are discussed.

Book chapter

Boeri T, Castanheira M, Faini R, Galasso V, Navaretti GB, Stéphane C, Haskel J, Nicoletti G, Perotti E, Scarpa C, Tsyganok L, Wey Cet al., 2007, Competition and Economic Performance: A Brief Review of the Literature, Structural Reforms Without Prejudices, ISBN: 9780199203628

Book chapter

Crespi G, Criscuolo C, Haskel J, 2007, Information Technology, Organisational Change and Productivity

Journal article

Crespi G, Criscuolo C, Haskel JE, Slaughter Met al., 2007, Productivity Growth, Knowledge Flows, and Spillovers

This paper explores the role of knowledge flows and productivity growth by linking direct survey data on knowledge flows to firm-level data on TFP growth. Our data measure the information flows often considered important, especially by policy-makers, such as from within the firm and from suppliers, customers, and competitors. We examine (a) what are the empirically important sources of knowledge flows? (b) to what extent do such flows contribute to TFP growth? (c) do such flows constitute a spillover of free knowledge? (d) how do such flows correspond to suggested spillover sources, such as multinational or R&D presence? We find that: (a) the main sources of knowledge are competitors; suppliers; and plants that belong to the same business group ; (b) these three flows together account for about 50% of TFP growth; (c) the main "free" information flow spillover is from competitors; and (d) multinational presence contributes to this spillover.

Working paper

Crespi G, Criscuolo C, Haskel J, Hawkes Det al., 2006, Measuring and understanding productivity in UK market services, OXFORD REVIEW OF ECONOMIC POLICY, Vol: 22, Pages: 560-572, ISSN: 0266-903X

Journal article

Griffith R, Haskel J, Neely A, 2006, Why is productivity so dispersed?, OXFORD REVIEW OF ECONOMIC POLICY, Vol: 22, Pages: 513-525, ISSN: 0266-903X

Journal article

Griffith R, Neely A, Haskel J, 2006, Why is Productivity so Dispersed?, Advanced Institute of Management Research Paper

Journal article

Marrano MG, Haskel J, 2006, How Much Does the UK Invest in Intangible Assets?

We attempt to replicate for the UK the Corrado, Hulten and Sichel (2005, 2006) work on spending on intangible assets in the US. Their work suggests private sector expenditure (investment) on intangibles is about 13% (11%) of US GDP 1998-2000, with intangible investment about equal to tangible capital investment. Our work, using a similar method, suggests the UK private sector spent, in 2004, about £127bn on intangibles, which is about 11% of UK GDP. The implied investment figure is around £116bn (10% of GDP) which is about equal to UK investment in tangible assets. Of the £127bn expenditure, (in round numbers) about 15% is spent on software, about 10% on scientific R&D, almost 20% on non-scientific R&D (design, product development etc.), about 14% on branding, about 20% on training and the rest on organisational capital.

Working paper

Crespi G, Criscuolo C, Haskel J, 2006, Information Technology, Organisational Change and Productivity Growth: Evidence from UK Firms

We examine the relationships between productivity growth, IT investment and organisational change (&Delta;<i>O</i>) using UK firm panel data. Consistent with the small number of other micro studies we find (a) IT appears to have high returns in a growth accounting sense when &Delta;<i>O</i> is omitted; when &Delta;<i>O</i> is included the IT returns are greatly reduced, (b) IT and &Delta;<i>O</i> interact in their effect on productivity growth, (c) non-IT investment and &Delta;<i>O</i> do not interact in their effect on productivity growth. Some new findings are (a) &Delta;<i>O</i> is affected by competition and (b) we also find strong effects on the probability of introducing &Delta;<i>O</i> from ownership. US-owned firms are much more likely to introduce &Delta;<i>O</i> relative to foreign owned firms who are more likely still relative to UK firms.

Working paper

Haskel J, Hawkes DD, Pereira SC, 2005, Skills, Human Capital and the Plant Productivity Gap: UK Evidence from Matched Plant, Worker and Workforce Data

Journal article

Galindo-Rueda F, Haskel J, 2005, Skills, Workforce Characteristics and Firm-Level Productivity: Evidence from the Matched ABI/Employer Skills Survey

We construct firm-level data set with matched productivity and qualification data by linking the Annual Business Inquiry and Employer Skills Survey for England. We first examine the effect of workplace skills and other characteristics such as part-time status and gender on both productivity and wages in English firms. We also investigate how productivity-implied returns to worker characteristics compare with wage-implied returns, therefore providing information on how rents are distributed between employers and employees. We find that firms with a higher share of college-educated, full-time and male workers also tend to be more productive, with considerable variations across sectors. The only robust difference in implied returns follows from part-timers, who tend to work for firms that pay too low wages for the observed productivity differences. Second, we study the effect of local skills on productivity controlling for skills at the firm. We find a positive and robust association, which is consistent with positive human capital externalities.

Working paper

Criscuolo C, Haskel J, Martin R, 2004, Import Competition, Productivity, and Restructuring in UK Manufacturing, Oxford Review of Economic Policy, Vol: 20

Journal article

Haskel JE, Sadun R, 2004, Entry, Exit and Labor Productivity in U.K. Retailing: Evidence from Micro Data, Producer Dynamics: New Evidence from Micro Data, Pages: 271-302

Book chapter

Galasso V, Profeta P, Haskel J, Ventura Jet al., 2004, Lessons for an ageing society: the political sustainability of social security systems, Economic Policy Conference, Publisher: OXFORD UNIV PRESS, Pages: 63-115, ISSN: 0266-4658

Conference paper

Green R, Haskel J, 2004, Seeking a premier-league economy - The role of privatization, Seeking a Premier Economy, Editors: Card, Freeman, Publisher: UNIV CHICAGO PRESS, Pages: 63-108, ISBN: 0-226-09284-4

Book chapter

Bonjour D, Cherkas LF, Haskel JE, Hawkes DD, Spector TDet al., 2003, Returns to education: Evidence from UK twins, AMERICAN ECONOMIC REVIEW, Vol: 93, Pages: 1799-1812, ISSN: 0002-8282

Journal article

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