New report – A review of the potential of R and D tax policy to support the Creative Industries

This review was commissioned to inform the work of the West Yorkshire Mayoral Combined Authority in their support of the Creative Industries.

The report was carried out by Ema Talam, Prof Geoff Pugh and Prof Jon Fairburn

Overview of the report

Creative industries represent a vital segment of the UK economy, contributing to the growth of local economies (Mateos-Garcia et al., 2018) and the country’s competitive advantage (HM Government, 2018). In 2018, the creative industries comprised 6.2% of the economy of the United Kingdom in terms of employment (DCMS, 2019) and 5.8% in terms of gross value added (GVA) (DCMS, 2020). Additionally, the creative industries are fast growing – employment in the creative industries grew by 30.6% over the period 2011 to 2018, while the GVA in real terms increased by 43.2% since 2010 (DCMS, 2020). Creative industries tend to be innovative (Bird et al., 2020) and can be highly productive, although they constitute a diverse sector of the economy embracing a wide range of productivity levels (see Section 2 below). Currently, the creative industries, and arts, humanities and social sciences more generally, are ineligible for R&D tax policy support in the United Kingdom (Bakhshi, Breckon and Puttick, 2021). This report explores the potential of R&D tax policy to support the creative industries.

The report is available on this page or as a direct pdf download here

Business Innovation and Entrepreneurship


Dr Bharati Singh, Course Leader, Business Innovation and Entrepreneurship


The Business Innovation and Entrepreneurship course is not only about being an entrepreneur or setting up your own business but it is actually understanding how innovation and entrepreneurship should really be at the heart of any business decision. Successful businesses today are the ones who have been really innovative, they have fresh thinking with an entrepreneurial mindset. In today’s dynamic business setting, both small and large companies harness entrepreneurial streaks.  

Business photo created by rawpixel.com – www.freepik.com

Entrepreneurship and innovation play a very important role within businesses of all shapes and sizes. Employees are expected to think outside the box which can only happen if employees can think innovatively. Today’s world is rather dynamic with the speed of innovation becoming faster, a shorter product life cycle, ever-changing consumer taste, technological advancement, competitor threat, changing government and legal landscape and other external factors not in the control of businesses.

In the face of the current pandemic, it becomes ever so important to be aware of the surrounding economic conditions and the political climate. To explore the ethical and unethical anomalies in the contemporary global political and global economic systems. Such systems can provide both challenges and opportunities.  

Sustainability has become a buzz word today. It is not only about shareholders and profitability anymore. Consumers, suppliers, governments and many other stakeholders now question the practices of businesses. Companies are expected to run their businesses with a social responsibility. The triple bottom line (Elkington 2018); which translates to people, profit and planet, need to be considered.  

Social vector created by freepik – www.freepik.com

Creative Destruction (Schumpeter, 1942) has taken a different meaning altogether in todays business environment. We are in the midst of the fourth industrial revolution and ‘disruption’ is at the heart of it. Companies go through continuous organisational change and hence, have to assess how to leverage innovative business models to remain competitive.   

Of course, to innovate or have an entrepreneurial streak and to sustain a competitive edge, it is imperative for individuals and companies to have a strategy. Strategy is key in business planning and entrepreneurial success. 

Thus, to gauge global challenges and opportunities, understand about the social enterprise, develop an entrepreneurial mindset, to be creative and innovative, develop sustainable business practices, leverage change management and have a strategy to maintain competitive advantage, reading for a degree in Business Innovation and Entrepreneurship will enable students to hit the ground running. 


References: 

Elkington, J. (2018). 25 Years Ago I Coined the Phrase “Triple Bottom Line.” Here’s Why It’s Time to Rethink It. Harvard Business Review, June 25, 2018  

Schumpeter, J. 1942. Capitalism, Socialism, and Democracy. New York: Harper & Bros.  

Research on SME innovation especially in traditional manufacturing regions Part 1

By Prof Geoff Pugh and Prof Jon Fairburn

Introduction

About the projects

The two projects are the following.

  • GPrix project (November 2009 – February 2012) commissioned by the European Commission’s DG-Research. Full title: Good Practices in Innovation Support Measures for SMEs: facilitating transition from the traditional to the knowledge economy; Instrument: SP4-Capacities—CSA—Support Action; Call: FP7-SME-2009-1; Grant agreement Number: 245459. The website for this project, including aa very large number of deliverables etc., is currently available at http://business.staffs.ac.uk/gprix/en/index.htm
  • MAPEER project commissioned by the European Commission’s DG-Research. Full title: Making Progress and Economic Enhancement a Reality for SMEs. Funded under FP7-SME. Grant agreement ID: 245419. The MAPEER project website is no longer available but the results are reported in summary form on CORDIS: https://cordis.europa.eu/project/rcn/93511/factsheet/en

The two projects coordinated their questionnaire surveys to facilitate analysis and eventual publication. Together, participants at Staffordshire University contributed to seven publications arising from these datasets.

The GPrix project focused on evaluating innovation support measures for SMEs in traditional manufacturing industries. In brief, three published articles and a UNI-MERIT Working Paper arising from the project reported that:

  • the estimated effects of innovation support programs are positive, typically increasing the probability of innovation and of its commercial success;
  • although innovation support measures in the EU are mostly designed to support product innovation in R&D intensive sectors, for firms in traditional manufacturing industries a broader innovation (policy) mix is more appropriate, including support for product innovation, process innovation, marketing and organizational innovations (of particular importance), together with internationalization, design and cooperation;
  • innovation support programmes can assist SMEs in traditional manufacturing industry to consolidate and/or extend their innovation ecosystems by promoting cooperation with both private and public sector knowledge providers, suggesting that initial input and/or output additionality from public support may be propagated and amplified by behavioural and systemic effects; and
  • increasing the number of cooperation partnerships has a positive impact on all measures of innovation performance.

The MAPEER project focused on innovation support for SMEs more generally. Three articles arising from this project reported:

  • that the “European paradox” regarding SME support — i.e. success in promoting R&D inputs but not commercialisation — is not yet mitigated;
  • new evidence on “open innovation” strategies, suggesting not only some consistently positive effects, in particular from using customers as an external knowledge source, but also that some search strategies may not be beneficial;  and
  • evidence that R&D support programmes have heterogeneous effects on technology scouting – defined as firms’ use of external knowledge sources – including a crowding-out effect on informal sources of external knowledge but additionality with respect to  formal, strategic sources.

For convenience, the abstracts of all seven contributions are reproduced below

From the GPrix project:

  • Radicic, D., Pugh, G., Hollanders, H., Wintjes, J., and Fairburn, J. (2016). The impact of innovation support programs on small and medium enterprises innovation in traditional manufacturing industries: An evaluation for seven European Union regions. Environment and Planning C: Government and Policy, 34(8) (December): 1425-1452. First published online December 18, 2015. doi:10.1177/0263774X15621759 

Abstract

We evaluate the effect of innovation support programs on output innovation by small and medium enterprises in traditional manufacturing industry. This focus is motivated by a definition of traditional manufacturing industry that includes capacity for innovation, and by evidence of its continued importance in European Union employment. We conducted a survey in seven European Union regions to generate the data needed to estimate pre-published switching models by means of the copula approach, from which we derived treatment effects on a wide range of innovation outputs. We find that for participants the estimated effects of innovation support programs are positive, typically increasing the probability of innovation and of its commercial success by around 15%. Yet, we also find that a greater return on public investment could have been secured by supporting firms chosen at random from the population of innovating traditional sector small and medium enterprises. These findings indicate the effectiveness of innovation support programs while suggesting reform of their selection procedures.

Keywords

Small and medium enterprises, evaluation, traditional manufacturing, innovation support, innovation outputs

Abstract

Innovation support measures in the EU are mostly designed to support product innovation in R&D intensive sectors. To increase the still considerable contribution to regional employment and competitiveness from SMEs in traditional manufacturing industries a broader innovation (policy) mix is more appropriate. This paper draws data from a survey of more than 300 SMEs from seven regions within the European Union, as well as case studies, to address the question: How can innovation policy interventions be improved to support SMEs in traditional manufacturing industries more effectively? We claim that innovation support should be sensitive to the way SMEs in traditional manufacturing sectors innovate and grow. We find that product innovation (and support used for product innovation) is less likely to generate growth, than (support used for) process innovation. Also (support used for) marketing innovations and organizational innovations are of particular importance – together with internationalization, design and cooperation. The increasingly selective application procedures applied are not the most efficient to generate impact, since those who are supported (and those who are supported more frequently), are the ones who are most likely to take the same innovative steps anyhow, irrespective of policy support.

Keywords

Innovation; SMEs; traditional sectors; low-tech; policy evaluation; manufacturing; process innovation

Part 2 of this article can be found here

Email g.t.pugh@staffs.ac.uk or jon.fairburn@staffs.ac.uk

What is a university for?

Professor Jess Power, Associate Dean – Students


There are several possible interpretations of the fundamental role of a university, however the one that holds close to my values and beliefs is “the university” as an institution for the creation and dissemination of knowledge, creating graduates who have a genuine commitment to making the world a better place and of being significant players in civil society. The western university model has been a remarkable success and is one in which we should have immense pride. Operational freedom within an interactive setting which enables excellence across teaching, research, learning and enterprise opening unlimited opportunities for many. However, in an increasingly complex and uncertain world the role of the university is constantly being questioned. In particular there has been a recent drive for developing “value”, in the form of employable work ready graduates. This may be interpreted as a set of desirable skills and attributes to be embedded within the curriculum or perhaps and more importantly the development of an entrepreneurial mind-set. The ability to think outside the box, to adapt and respond to change in a fast paced environment and more importantly the ability to be able to communicate within and beyond their academic discipline is perceived key to graduates contributing to societal challenges.

In today’s global economy and in society as a whole we are faced with many complex challenges (clean water, ageing population, disaster management, global-warming, sustainable food production, transitioning populations), which require new ways of working. It is widely accepted that innovative and sustainable solutions for many complex global social issues reach far beyond the boundaries of a single academic discipline or methodological approach and as such the practical argument for embedding interdisciplinarity and interdisciplinary collaboration opportunities into the learning experience within universities is strong. Interdisciplinary working is widely accepted to be the new mode of knowledge production, it focuses on building intellectual capacity and is supported by government policy makers and research funding agencies. Many of the most exciting developments cross traditional disciplinary boundaries and therefore have great potential to break through complex societal problems and foster innovation.

The concept of interdisciplinarity within Higher Education is not new: Thompson and Fogel (1921), acknowledged in their publication ‘Higher Education and Social Change’ that all social problems require interdisciplinary skills and knowledge. They expanded on this by stating: “if graduates … are to be societies’ leaders …they need a broad social and historical perspective that is difficult to achieve in one discipline”. Thompson and Forgel’s (1921) paper highlighted specifically the need for Higher Educational institutions to promote interdisciplinarity as a means of developing the essential skills of leadership required to impact on civil society.

So, what is a university for? It is to change mind-set, opening up opportunities to bring together individuals to generate knowledge to solve societal problems for the good of mankind. Thus, the connections we make, the disciplines we cross and the knowledge we form are only part of the picture, it is the transformative impact on people’s life’s that we make that hold the true meaning of the value of a university, which instil the leadership qualities desired to make the world a better place.

 

Thompson, K.W. & Fogel, B.R. (1921). Higher Education and Social Change: Promising Experiments in Developing Countries. Vol 1 Reports. US: Praeger.

www.staffs.ac.uk 

Introducing Dr Alyson Nicholds, our new Associate Professor

 

Dr Alyson Nicholds, Associate Professor (Business Management), Staffordshire Business School

I am delighted to be joining Staffordshire Business School as Associate Professor (Business Management).  This is my 5th University, having previously worked at Leeds Beckett, Birmingham, Middlesex and Coventry in various teaching/ research roles.

Dr Alyson Nicholds

Dr Alyson Nicholds

I’m probably best described as an ‘interdisciplinary’ academic of all things Public Policy. What this means, is that I bring to bear all my past professional experience (as Nurse, Health Promoter and Development Officer) to analyse, empirically, ‘what works’ in health, social care, urban, science and technology policy.

I do this by exploring ‘why policy fails’, but this is not by evaluating the impact of policy is (i.e. rationally), but by analysing ‘why practitioners do what they do’ (i.e. the accounts that professionals provide of their practice). We call this more novel type of research ‘discourse analysis’ and it works by paying close attention to the language embedded in what practitioners say and do i.e.:-

  • How professionals ‘describe’ how they do what they do (‘functionalist discourse’);
  • How professionals ‘interpret/ frame’ why they do what they do (‘constructivist discourse’);
  • How the context ‘shapes/ constrains’ what professionals say and do (‘dialogic discourse’);
  • How society ‘influences’ what it’s possible to say and do (‘critical discourse’)

Discourse analysis is therefore important because it addresses some of the limitations of more rational/ scientific approaches to traditional policy analysis which typically ignores the human voice. Hence, much of my early work has involved applying the second type of discourse (constructivist discourse) to real-life cases, as with my PhD, which revealed regeneration professionals’ shared experiences of the barriers to effective regeneration in the East and West Midlands[1] [1a].  Indeed, this was so compelling, that I’m now reanalysing this data using the third type of discourse (i.e. dialogic discourse) to understand ‘why actors don’t do what they say’!

Other work, using this more ‘constructivist discourse’ approach, involved a large scale NHS funded study (Post Doc) to ascertain the value of different joint commissioning arrangements in health and social care (i.e. in 6 NHS Trusts in England)[2]; and scientists’ preferences for sharing knowledge in a global network (i.e. the large-scale physics experiment known as the hadron collider at the CERN facility in Switzerland) [3].

More recently I’ve been working with colleagues from Birmingham and Middlesex to analyse how formal and informal leaders prefer to lead in sub-national urban development places (i.e. the Smart Cities policy initiative)[4]. My latest work explores the practical applications of all of this type of discourse work in transforming the social outcomes of public policy through greater reflexivity in management learning. In future blogs, I’ll be writing about this and the different ways we might better research these complex types of policy problems, to address widening social and economic inequality.

[1] http://etheses.bham.ac.uk/3495/1/Nicholds12PhD.pdf

[1a] Alyson Nicholds (2011) Making sense of urban policy failure in complex times, Regional Insights, 2:2, 18-20, DOI: 10.1080/20429843.2011.9727924

[2] Helen Dickinson, Stephen Jeffares, Alyson Nicholds & Jon Glasby (2014) Beyond the Berlin Wall?: Investigating joint commissioning and its various meanings using a Q methodology approach, Public Management Review, 16:6, 830-851, DOI: 10.1080/14719037.2012.757353

[3] Mabey, C. & Nicholds, A. (2015) Discourses of knowledge across global networks: What can be learnt about knowledge leadership from the ATLAS collaboration? International Business Review, Volume 24, Issue 1, February 2015, Pages 43–54. https://www.sciencedirect.com/science/article/pii/S0969593114000754

[4Alyson Nicholds, John Gibney, Chris Mabey & Dan Hart (2017) Making sense of variety in place leadership: the case of England’s smart cities, Regional Studies, 51:2, 249-259, DOI: 10.1080/00343404.2016.1232482

The age of innovation: Has the time come for the paradigm shift in innovation policy?

By Ema Talam

The United Kingdom is classified as Innovation Leader in the latest European Innovation Scoreboard. Although it excels in performance compared to the European Union average in 2017 on various indicators used (e.g. International scientific co-publications, Innovative SMEs collaborating with others, Foreign doctorate students, etc.), it stands out that the United Kingdom performs very poorly compared to the EU average  on the following indicators: R&D expenditure in the public sector and R&D expenditure in the business sector (the percentages for the UK are 67.0% and 85.1% of the EU average in 2017, respectively) (European Commission, 2018).

Businesses in the UK are the main contributors to the total R&D expenditure and this contribution has increased from 2005 on wards. Hodges (2018) points out: “Focusing on civil (non-defence related) R&D, in 2016 53% of all R&D performed in the UK was funded by businesses, 8% by higher education institutions or funding councils, and 17% by government, including the research councils”.

Increasingly, the majority of funding for R&D performed by businesses comes from businesses themselves—the share was 63.0% in 2010 and was 10 percentage point higher in 2016. The government funding for R&D performed by businesses decreased by 2.1 percentage point from 2013 until 2016 (from 9.9% to 7.8%) (Hogdes, 2018).  Research and development also becomes important in the context of Brexit. Dhingra et al. (2017) recognise lower research and development as one the factors that can lead to productivity and welfare losses in the event of Brexit.

The importance of innovation for growth is often emphasised (Van Reenen, 2011). Furthermore, my previous blogs 1, 2, 3 gave detailed accounts on the links between innovation, productivity and exporting. Although not the sole determinant of innovation, the role of research and development (R&D) can be significant in the process of innovation of a firm (OECD/Eurostat, 2005; What Works Centre for Local Economic Growth, 2015a; What Works Centre for Local Economic Growth, 2015b).

Due to the presence of market failures, governments use different instruments to increase private R&D spending by firms and commonly used ones are R&D tax credits and R&D subsidies. When it comes to R&D tax credits, firms make their own innovation choices, while in the case of R&D subsidies, policymakers are the ones who choose to whom the subsidy will be granted (What Works Centre for Local Economic Growth, 2015a; Dechezlepretre et al., 2016). Numerous studies have dealt with the issue of effectiveness of R&D tax credits and R&D subsidies on increasing R&D investment, innovation or economic performance of a firm.

Some empirical evidences suggest that R&D tax credits have been effective in increasing R&D investment, innovation and improving economic outcomes of a firm (Czarnitzki et al., 2011; What Works Centre for Local Economic Growth, 2015a; Dechezlepretre et al., 2016). For example, Dechezlepretre et al. (2016), using UK data, show that R&D tax credits had positive impact on innovation (i.e. patents), productivity, sales and employment. The effectiveness of R&D tax credits is shown to be different in different industries and sectors the firms are operating in (i.e. differences in the effectiveness are found between high- and low-tech industries), the size of firms (i.e. predominantly, the effect is larger for SMEs) and the age of a firm (i.e. R&D tax credits are more effective for young compared to older firms) (Castellacci and Lie, 2015; What Works Centre for Local Economic Growth, 2015a; Dechezlepretre et al., 2016). Evidence also shows that the impact of R&D tax credits is larger in the long-run (Bloom et al., 2002).

The impact of R&D grants, loans and subsidies on R&D expenditure, innovation and economic outcomes is inconclusive (What Works Centre for Local Economic Growth, 2015b). However, the study by Benavente et al. (2007) on Chile, found the positive impact of R&D subsidies on: process innovation, employment, sales and exports. Furthermore, the analysis by Dimos and Pugh (2016) shows that R&D subsidies have a positive, but small effect on private R&D. In particular, they state that: “findings reject crowding out of private investment by public subsidy but reveal no evidence of substantial additionality” (Dimos and Pugh, 2016, p. 811).

Latest thinking on innovation policy suggests that, in order to achieve smart, inclusive and sustainable economic growth, the focus of government intervention should not be on fixing market failures. Instead, Kattel and Mazzucato (2018) point out to the importance of mission-oriented policies and state: “The role of the public sector here is not just about de-risking, and levelling the playing field, but tilting the playing field in the direction of the desired goals—creating and shaping markets which increase the expectations of business around future growth opportunities, thus driving private investment.” (p. 2). In this case, quantity or rate of innovation are believed to be the second-order issues, while quality and direction of innovations emerge as the top priorities. According to the authors, putting missions at the heart of innovation policy can be used to address numerous challenges and problems that today’s societies are facing. Public investments centred around particular mission can create new markets and shape the existing ones. Mission-oriented policies, according to the authors, are gaining on popularity again.

Innovation matters. Due to its economy-wide impact, governments use different measures to support innovation. Approaches aimed at fixing market failures, such as R&D tax credits and R&D subsidies, generally showed to be effective, although sometimes having only small effects. However, throughout the history, there were also evidences of successful mission-oriented policies that re-shaped the whole societies. Given the stated, the real question is: Has the time come for the paradigm shift in innovation policy?

References – Innovation policy blog – v249 are here

 

Is there a panacea for low productivity ?

By Ema Talam   on twitter as @ematalam

Productivity differences between different producers exist and persist, even among those operating within the same industries (Syverson, 2011; Van Reenen, 2011). Achieving higher productivity is of an utmost importance for firms as it leads to better firm performance and leads to increased profits. These increased profits can be used for future investment and wage rises.  The panacea for low productivity is often sought, however, the factors determining productivity are numerous, differing in their scope, level of influence and complexity.

One of the factors determining productivity is innovation. While some studies establish that innovation in general is positively linked with productivity (Movahedi et al., 2017), some limit this link to product innovation (Cassiman and Golovko, 2011). Porter (1990) argues that firms often have no choice but to innovate, as they face competitive pressures coming from their buyers or competitors.

The productivity of a firm may be determined by talents and practices of its managers. Bloom and Van Reenen (2010) have shown that firms that employ better management have higher labour productivity. Management practices differ widely both among different firms and different countries. They are influenced by numerous factors, some of them being: product market competition, labour market regulations, relationship between ownership and management of a firm, education of managers and workers, etc. (Bloom and Van Reenen, 2010).

Quality of inputs is another factor that determines productivity. Rather than clinging on basic resources (or lack of those), it can be argued that productivity is mainly determined by superiority of labour and capital inputs (Porter, 1990; Syverson, 2011). Education, training and experience can all affect quality of labour inputs. Quality differences of capital inputs can influence productivity (Syverson, 2011). The lack of basic resources can push firms to innovate and improve (Porter, 1990). It has been shown that differences in intangible capital and IT can also affect productivity (Syverson, 2011).

Another significant factor that can influence productivity are different decisions regarding the organisation and structure of a firm. Different process improvements through learning-by-doing can also influence productivity (Syverson, 2011).

Productivity spillovers and competition are important external determinants of productivity of a firm. Productivity spillovers occur mainly within the same or similar industries. Competition can hugely affect productivity and firms can face competitive pressures from both other domestic and foreign firms (Syverson, 2011).

The theoretically established ‘learning-by-exporting’ hypothesis states that exporting can improve productivity of a firm. On the one hand, a firm participating in an export market is exposed to a larger competition. On the other hand, by participating in an export market, a firm can gain new knowledge from its buyers and competitors (Wagner, 2007). Some empirical research has confirmed this hypothesis (Damijan et al., 2010).

As discussed above, productivity of a firm is influenced by a numerous factors. Some of the above-mentioned factors can be influenced to a greater extent than the others and some of those factors require shorter periods to be adjusted than the others. However, given that there is variety of factors, their complexity and the level of their potential interactions, the question still remains: is there really a panacea for low productivity?

References:

  1. Bloom, N. and Van Reenen, J. (2010) ‘Why do management practices differ across firms and countries’, The Journal of Economic Perspectives, 24(1), pp. 203-224. Available at: https://www-jstor-org.ezproxy.staffs.ac.uk/stable/25703489 (Accessed: 24th June 2018)
  2. Cassiman, B. and Golovko, E. (2011) ‘Innovation and internationalization through exports’, Journal of International Business Studies, 42(1), pp. 56-75. Available at: http://www.jstor.org.ezproxy.staffs.ac.uk/stable/25790105 (Accessed: 28th March 2018)
  3. Damijan, J.P., Kostevc, C., & Polanec, S. (2010) ‘From innovation to exporting or vice versa?’, The World Economy, 33(3), pp. 374-398. Available at: http://onlinelibrary.wiley.com.ezproxy.staffs.ac.uk/journal/10.1111/%28ISSN%291467-9701/issues (Accessed: 24th March 2018)
  4. Movahedi, M., Shahbazi, K., & Gaussens, O. (2017) ‘Innovation and willingness to export: Is there an effect of conscious self-selection?’, Economics: The Open-Access, Open-Assessment E-Journal, 11(25), pp. 1-22. Available at: http://www.economics-ejournal.org/economics/journalarticles/2017-25 (Accessed: 1st May 2018)
  5. Porter, M. (1990) ‘The competitive advantage of nations’, Harvard Business Review. Available at: https://hbr.org/1990/03/the-competitive-advantage-of-nations (Accessed: 4th June 2018)
  6. Syverson, C. (2011) ‘What determines productivity?’, Journal of Economic Literature, 49(2), pp. 326-365. Available at: http://www.jstor.org.ezproxy.staffs.ac.uk/stable/23071619 (Accessed: 30th April 2018)
  7. Van Reenen, J. (2011) ‘Does competition raise productivity through improving management quality’, International Journal of Industrial Organisation, 29(3), pp. 306-316. Available at: https://ac-els-cdn-com.ezproxy.staffs.ac.uk/S0167718711000208/1-s2.0-S0167718711000208-main.pdf?_tid=48b828f4-40fc-4fad-a130-5cec9cbc83ab&acdnat=1530139607_684e48c04c59ac476baa4ece54f7c606 (Accessed: 22nd June 2018)
  8. Wagner, J. (2007) ‘Exports and productivity: A survey of the evidence from firm-level data’, The World Economy, 30(1), pp. 60-82. Available at: http://onlinelibrary.wiley.com.ezproxy.staffs.ac.uk/journal/10.1111/%28ISSN%291467-9701/issues (Accessed: 16th April 2018)

 

 

Untangling the link between productivity, exporting and innovation of a firm through Brexit

By Ema Talam  and on twitter @ematalam

It is often claimed that the United Kingdom has benefited from joining European Union in terms of its economic performance. On the other hand, some authors argue that the rate of economic growth in the United Kingdom did not rise as a result of its accession to the European Union in 1973[1] (Coutts et al., 2018).

However, different estimates show that the United Kingdom will experience negative consequences of its exit from European Union, but the magnitudes of those estimates vary. The impacts on productivity are argued and there is no general consensus of the scale that Brexit will affect overall productivity in the United Kingdom.

Coutts et al. (2018, p. 20) state that “no aggregate link exists between trade and productivity for advanced open economies, unlike emerging economies where a relaxation of constraints on trade allow multi-national companies to enter, and to raise both exports and productivity”. At the same time, Dhingra et al. (2017) recognise that losses in terms of productivity are possible and list several factors that may contribute to productivity and welfare losses such as: “reductions in the variety of goods and services, weaker competition, the erosion of vertical production chains, falls in foreign direct investment (FDI), slower technology diffusion, less learning from exports or lower Research and Development” (p. 3).

Productivity, exporting and innovation of a firm are three seemingly distinct concepts. More in depth analysis shows that these concepts are indeed related and that it is almost impossible to examine either one of them without examining the other two. Characteristics of exporters and innovators depict well the extent of the link between the three concepts:

  • Exporters tend to be more productive than non-exporters (Wagner, 2007; Damijan et al., 2010; Caldera, 2010; Movahedi et al., 2017) and often have higher productivity growth (Wagner, 2007).
  • Furthermore, exporters are more likely to innovate (Damijan et al., 2010; Caldera, 2010), spend more on innovation (Caldera, 2010; Monreal-Perez et al., 2012) and have more (major) innovations (Bleaney and Wakelin, 2002; Monreal-Perez et al., 2012) than non-exporters.
  • Innovators tend to be more productive (Bleaney and Wakelin, 2002; Damijan et al., 2010; Caldera, 2010; Cassiman et al., 2010; Movahedi et al., 2017) and are more likely to export (Bleaney and Wakelin, 2002; Damijan et al., 2010; Cassiman et al., 2010) than non-innovators.
  • Exporters and innovators also share the set of common characteristics: they pay higher wages (Bleaney and Wakelin, 2002; Caldera, 2010) and are present in the sectors characterised with higher R&D intensity and greater amount of intra-industry trade (Bleaney and Wakelin, 2002).

A recent report published by Centre for Cities (2018) shows that in Britain, exporters constitute more productive firms. Figure 1 shows that British economy is characterised by large number of firms with low levels of productivity, but also that local service firms are predominantly less productive firms. Exporting firms account 13.2% of all the firms examined. The share of exporting firms among the top ten per cent of the most productive firms in 2015 was 31.2%, while the share of exporting firms among bottom 33 per cent was 5.6% in the same year. (Centre for Cities, 2018).

Figure 1: Productivity of all firms

Figure 1: Productivity of all firms, UK (2015)

Figure 2 Productivity of exporting firms compared to local service firms in the UK (2015)

Source: Centre for Cities (2018) The wrong tail-Why Britain’s ‘long tail’ is not the cause of its productivity problems.

*The report indicates that productivity was calculated as “gross value added per worker at a branch level” (Centre for Cities, 2018).

** Original data source is limited to non-financial business economy

***Only private sector productivity was examined

**** Article in Financial Times (Strauss, 2018) on the report indicates that, in this case, all firms engaged in markets beyond their local one are considered to be exporters. However, it can be assumed that certain portion of these firms export abroad as well.

The link between exporting and productivity is also theoretically grounded. It is commonly hypothesised that exporting and productivity are linked in the following manners:

(1) self-selection hypothesis, suggesting that more productive firms self-select into export markets, and

(2) learning-by-exporting hypothesis, suggesting that firms increase their productivity by participating in export markets (Wagner, 2007). Empirical findings prove the existence of both the link leading from productivity to exporting (Caldera, 2010; Cassiman and Golovko, 2011; Movahedi et al., 2017), as well as the link leading from exporting to productivity (Damijan et al., 2010).

Furthermore, previous research shows that exporting is linked to innovation (Damijan et al., 2010) and, at the same time, that product, process and organisational innovation have an influence on exporting (Basile, 2001; Bleaney and Wakelin, 2002; Caldera, 2010; Cassiman et al., 2010; Cassiman and Golovko, 2011; Monreal-Perez et al., 2012; Fryges et al., 2015; Azar and Ciabuschi, 2017).

Some authors suggest that there exists complementarity between exporting and investment in productivity, in the sense that one raises the profitability of the other (Lileeva and Trefler, 2010). Firm’s productivity can be tackled through factors internal to a firm (i.e. managerial practice and talent, quality of labour and capital inputs, decisions about firm’s structure, etc.) and influenced by the factors that are external to a firm (i.e. productivity spillovers, intramarket competition, regulations, etc.) (Syverson, 2011).

Empirical research has shown that innovation positively influences productivity (Cassiman and Golovko, 2011; Movahedi, Shahbazi and Gaussens, 2017).

Four types of innovation can be distinguished:

(1) product innovation, “the introduction of a good or service that is new or significantly improved with respect to its characteristics or intended uses” (OECD/Eurostat, 2005, p. 48),

(2) process innovation, “the implementation of a new or significantly improved production or delivery method” (OECD/Eurostat, 2005, p. 49),

(3) marketing innovation, “the implementation of a new marketing method involving significant changes in product design or packaging, product placement, product promotion or pricing” (OECD/Eurostat, 2005, p. 49), and

(4) organisational innovation, “the implementation of a new organisational method in the firm’s business practices, workplace organisation or external relations” (OECD/Eurostat, 2005, p. 51). Schmookler (1954) suggests that size of the market is one of the determinants of the level of inventive activities.

Brexit will almost certainly result in larger trade costs for the firms involved. Van Reenen (2016) indicates that there are three distinct categories of trade costs that will increase following Brexit:

“(i) higher tariffs on imports;

(ii) higher nontariff barriers to trade, arising from different regulations, border controls, and the like; and

(iii) the lower likelihood of the United Kingdom participating in future EU integration efforts, such as the continued reduction of nontariff barriers”.

Following the lines of the discussion above, trade costs are likely to have a greater impact on the more productive firms in the British economy. Also, due to the existence and the complexity of the links between exporting, productivity and innovation, adverse effects can be expected to go beyond influences on productivity.

References – blog post – v246

By Ema Talam  and on twitter @ematalam

[1] EEC at the time.

Evaluating the potential of public policy to jointly promote firms’ exporting and innovation – new PhD for Ema Talam

Ema Talam - a new PhD student in the Business School

Ema Talam – a new PhD student in the Business School

Ema Talam has recently joined the Business School to start research for her PhD.  Her topic is “Evaluating the potential of public policy to jointly promote firms’ exporting and innovation”, supervised by Dr Mehtap Hisarciklilar-Riegler and Professor Geoff Pugh.

Ema completed her Bachelor’s degree in the field of management at the School of Economics and Business of University of Sarajevo (Bosnia and Herzegovina) and received the Golden Badge of the University of Sarajevo for her accomplishments.

Ema then completed her Master’s degree in Economics at the Faculty of Economics of the University of Ljubljana (Slovenia). Her Master’s thesis explored the link between (un)employment, income and ethnic tensions and was titled “The link between ethnic tensions and unemployment in multiethnic countries: The case of Bosnia and Herzegovina”.

At the beginning of 2018, Ema has received the Preseren Award of the Faculty of Economics of University of Ljubljana for her Master’s thesis. Ema has attended several other notable educational programmes, such as the International Summer School in Human Rights at University of Oslo (Norway) in 2014. So far, Ema has written and published two papers that covered two distinct topics: “Socialism and Marxian economics: An overview” and “The link between globalization and gender equality”.

Currently, Ema is surveying the literature. Generally exporting and innovation are treated as separate activities. Only a small portion of the literature recognises that the link between the two exists and explores the link between exporting and innovation (i.e. how exporting influences innovation and vice versa). Furthermore, public policies aimed at promoting exporting and innovation are directed towards just one of the activities. Numerous studies have evaluated the effects of such policies.

The research will examine the links between exporting and innovation. The research will explore how exporting and innovation affect firm performance, both when undertaken separately and jointly. Furthermore, it will analyse the impact of public policy support on exporting and innovation activities.

Finally, based on the all of the previously stated, the research will examine the implications of findings for policy and institutional design. The focus of this examination will be to explore whether programmes for firms aimed at supporting exporting and/or innovation activities should be designed and implemented jointly or separately.

Ema is on linkedin here

or email her on t028882h@student.staffs.ac.uk.