Title: Measurement of innovation, productivity and growth
1Measurement of innovation, productivity and growth
- Outline
- How can innovation be measured?
- Illustrations of innovation statistics
- Productivity at the firm, industry and economy
level - Comparing productivity and growth across countries
2Introduction
- The basic motivation for this chapter is to
convey to students that innovation and its
implications can be measured and analysed - There are many problems in this process, but this
is true across all of economic policy - Without measurement analysis, understanding and
policy will be based on rhetoric, anecdote and
lobbying - Since innovation is defined as new ideas that
add value, this automatically means that
innovation is driving force behind growth - Clearly some authors think of technology, or
human capital, as driving growth. These are
discussed more in Chap 8, but essentially these
are different perspectives on the same process.
We argue that innovation is a better generic
term.
3How can innovation be measured?
- Surveys
- Chapter discusses Community Innovation Survey
(CIS), but lecturer may be able to access
local/regional/national examples - Input measures
- RD is main measure (see next slide)
- Output measures
- Patents and other IP
- Ultimately, productivity and growth are the
outputs - Note that Innovation Indexes tend to mix up
inputs and outputs in very ad hoc way
4 of firms involved in innovative activities, CIS
1998-2000
5RD
- This discussion of RD is extended in Chap. 4
- It is possible to extend this discussion here by
- Focusing on national trends, industry breakdowns
and specific firms - In most countries there are a few major companies
that dominate absolute amount, but amount done by
smaller companies may be very important for
future growth - Specific RD policies (see later discussion in
Chap.11 section 11.3) - Problems of compiling real RD measures and cross
country measures
6RD (OECD Frascati Manual)
- Basic Research experimental/ theoretical work
undertaken primarily to acquire new knowledge of
the underlying foundations and phenomena and
observable facts, without any particular
application or use in view - Applied Research original investigation
undertaken in order to acquire new knowledge ,
directed primarily towards a specific practical
aim or objective - Experimental Development systematic work,
drawing on existing knowledge gained from
research and practical experience, directed to
producing new materials, products and devices to
installing new processes, systems or services to
improving substantially those already produced or
installed.
Science
Technology
7RD in Europe, Japan and the United States (2003,
or 2002)
8RD personnel in Europe and Japan (2004, or 2003)
9Patent applications by domestic residents by
country (RH scale US Japan)
10Trademark applications by domestic residents by
country (RH scale US Japan)
11Productivity and growth
- To measure real output we use value added
- Value added is defined as sales minus raw
materials used - Indicates what the firm has truly produced when
transforming the raw materials into the final
product - Both sales and raw materials have to be deflated
for any price inflation when measuring over time - Definitions of partial factor productivity
- labour productivity (value added per unit of
labour) - capital productivity (value added per unit of
capital) - High labour productivity is often largely
explained by high levels of capital per worker
(e.g. in mining and the steel industry) - High capital productivity will be present when
labour is used intensively (e.g. in developing
countries with scarce capital)
12Measuring total factor productivity
- This measure improves on partial factor
productivity by correcting for growth in inputs - Derivation of total factor productivity
- Suppose value added (Y) is produced by two input
factors capital (K) and labour (L) and by total
factor productivity (A) according to - Y A K a L b
- Then growth of TFP is calculated by residual
- gA gY a gK b gL
- Growth in TFP is equal to the growth in value
added, less a times the growth in capital input
and b times the growth in labour input
13Annual average growth in GDP per hour worked
(1970-2006)
14Average growth of GDP per capita in emerging
markets
15Other economic growth resources
- There is a vast amount of productivity and
economic growth data on web that could be used to
look at specific countries, periods or industries
e.g. - National statistical agencies
- World Bank, OECD (includes regular country
studies), IMF - The Groningen Growth and Development Centre
- Penn World Table
16Possible additional topics
- There are a large number of other areas that can
be mentioned, or developed, in a course,
including - Service sector productivity (e.g. Bosworth, B.
and J. Triplett (2003). "Productivity Measurement
Issues in Services Industries "Baumol's Disease"
Has Been Cured." The Brookings Institution,
September 1. - IT and productivity (e.g. Triplett, J. E. (1999).
"The Solow Productivity Paradox What Do
Computers Do to Productivity?" Canadian-Journal-of
-Economics 32(2)(April 1) 309-34. - Regulation and productivity (e.g. Crafts, N.
(2006). "Regulation and Productivity Performance
" Oxford Review of Economic Policy 22(2)
186-202.
17Questions
- List the input, and output, measures of
innovation. How should one deal with so many
possible measures? - RD is the only important measure of
innovation. Discuss. - Choose a selection of firms, or countries, and
attempt to produce a ranking or innovation
scoreboard. - What is meant by partial productivity measures?
Should only total factor productivity be used? - What measurement issues should be considered when
comparing GDP per capita across countries? What
about when comparing GDP per capita through time? - What is the use of growth accounting studies?
18References
- Griliches, Z. (1990) Patent statistics as
economic indicators a survey, Journal of
Economic Literature, XXVIII (December),
1661-1707. - Lipsey, R. G. and K. I. Carlaw (2004), 'Total
factor productivity and the measurement of
technological change', Canadian Journal of
Economics, 37(4), 1118-50. - Schreyer, P. and D. Pilat (2001) "Measuring
Productivity, OECD Economic Studies 33 128. - The Economist (14 Nov. 2009) Economic Focus
Secret Sauce.