British
James Walker,
(J.T.Walker@lse.ac.uk)
Supervisor: Dr Peter
Howlett
1. Introduction
Leonard Lord, the chairman of British Motor Company stated that if “you make proper bloody products, then they will sell themselves”.[1] Lord was not alone in his view that the nature of the products was an issue central to the success of British car manufactures. Considerable contemporary analyses were undertaken on the car industry both by government agencies,[2] and by contemporary researchers,[3] with each of these studies emphasizing that a key failing of the domestic industry’s flagship, British Leyland (BL hereafter),[4] was its inability to provide an adequate “product package” that led to what the Central Policy Review (1975) termed a ‘product-led decline’.
The Central Policy Review’s concept of ‘product-led decline’ encapsulated three distinct dimensions of competition and technology, and was widely cross-referenced in the aforementioned studies. The first dimension was that BL's cars were uncompetitive relative to rival manufactures in the “product package” they provided. Second, that BL manufactures were unable to fill the domestic market place with a range of products differentiated in ways that reflected consumers' taste and demand patterns. Furthermore, BL was accused of marketing multiple brands and models with qualities that were “too similar” to each other thus not obtaining the potential advantages associated to strategically locating and dispersing its brand’s offerings. Third, that BL's cars were outdated and that BL, unlike its foreign owned counterparts, neglected to regularly upgrade its product ranges by embodying new technological advances.[5]
While there was a body of contemporary work arguing that innovation and
competition played an important role in the declining domestic role in the
Foreman-Peck et al. (1995) have pointed out the literature on the British car industry has taken a two approaches. The first is to list all the plausible ‘factors’ that have influenced the industry and in some cases to attribute a causal relations between them. The second is to take a more ambitious line of picking a single explanation and gathering a selection of evidence consistent with it. The weakness of the second method is however that the scope of the explanation is limited to the particular facet. From an empirical perspective these literature provide a series of anecdotally derived conjectures that a priori are quite compelling but the contribution of each argument is difficult to assess.
This paper operationalises the notion of product led-decline in the evolution of the market to access managerial effectiveness at the strategic level of the firm in relation to the survival of its products. Hence, the singular focus of my research falls into the second approach to examining the industry. However, the nature and design of models and model variants is determined in the design and development phases of model development through the interaction of design, engineering, and marketing department of a car firm with oversight and resources directed by management. It is unlikely that the mainstream arguments concerning the fate of BL, other then a lack of management acumen, have a direct role in the product creation and strategic location processes. Poor employee relations and resulting labour disputes were confined to the shop floor and so do not have an important role in determining the departments involved with designing the products themselves. Nor is there is no evidence of Government intervening in the running of the firm as can be seen through the comments successive heads of the company. Indeed Stokes, BL's Chairman between 1967-75, pointed out that “When running the business we had very little pressure from government”. Similarly, Edwardes, Chairman and CEO between 1977-1983 took on the role on the condition that he had complete autonomy.[7]
My focus on product-led decline serves a duel purpose. First, it provides
the first all-encompassing examination of phenomena in the
To analyse the roles of competition and innovation in shaping the
survival of the products of BL and other participants in the
The remainder of the outline to the paper is organised as follows.
Section 3 examines the contrasting experience of British Leyland to that of the
market as a whole through the evolution of the entry and exit of models, market
structure, and innovation, which form the three building blocks of the analysis.
Evidence of PLD is tested in Section 4 - Appendix 1 defines how measures of
product-led-decline are calculated. Finally, Section 5 contains a concluding
discussion.
2. British
Figure 1: Launch and discontinuation of models, 1971-98
A: All market participants

B: British

While there
had been a steady growth in car imports prior to 1970, the stranglehold of
domestic producers in the
Figure 1
illustrates the entry and exit patterns of car models in the
The second panel of Figure 1 examines the entry and exit of BL’s models and illustrates that the firm moved in the opposite direction to the market with exit dominating entry in eighteen of the nineteen years prior to the completion of rationalisation of the firm’s model range in 1987.
Figure 2 plots annual
counts for four tiers of aggregation (firm, brand, model and model variants)
within the
To reasonably capture technological innovation and “quality upgrading” for a product as complex and multi-dimensional as the car required me to record a wide selection of innovations that occurred over the extended snap shot examined. Appendix 2 provides a time line of innovations for 125 embodied attributes as well as the brand that first included each new attribute as “standard” in at least one model variant.[12] Technological innovation has clearly been an on-going feature of the car industry as it has evolved over the post-war period. Appendix 2 indicates that technological leadership was limited to a small sub-set of firms. European firms account for over 75 per cent of product innovation introductions, with the four top


innovating firms being BMW, Mercedes; Rolls Royce and Jaguar,
which account for 35 per cent of introductions. Japanese firms comprise 16 per
cent and US-based firms for 8 per cent of introductions, respectively. While
European firms dominate innovation introduction, a noteworthy feature of
Appendix 2 is there is a considerable shift between
It is also of note that, other then Jaguar and Land Rover, the brands that made up BL were rarely the first to incorporate new product technologies, providing some indication that the technological capabilities of BL mass producing brands was limited.[13] Since the technological expertise at Land Rover was specific to 4-by-4 vehicles, Jaguar was the viable candidate to obtain technological insights from. Indeed, Barber, Vice Chair of BL in 1973 recognised that “If you look at what we were good at in those days, our volume-cars were not up to world standards. If we could have capitalised on Jaguar we could have done something”.[14]
The structure of research at BL
was however not designed to encourage collaboration and it was a stated policy
of the firm to maintain rivalry in engineering systems, methods and products in
order to preserved the separate ‘identities’ of the its brands. Whip and
There is also evidence that BL’s brand were hostile to collaboration with the engineering director at Jaguar stating that he “used to fight with cars” in his desire to maintain engineering independence from other BL manufactures.[15] A striking example is found in the production of Rover's most the ambitious project, the P6BS, which was developed independently of Jaguar, being shelved six months prior to its launch in 1972.[16]
The first dimension of the product-led-decline hypothesis was that BL's cars were uncompetitive relative to rival manufactures in the ''product package'' they provided.[17] If BL’s cars were uncompetitive we should expect that competition by rivals reduce the survival of British Leyland’s products more then it would affect BL’s rivals. Therefore,
PLD Hypothesis 1a (Market) - Rival
Competition: Competition though rivals 'crowding' the product spectrum will
reduce the life of a model.
But that,
PLD Hypothesis (British
As has been determined, the
However, if the degree of quality differentiation at British Leyland was low relative to participants, and hence would not have sheltered BL’s products, and reduced the likelihood that they would remain in the market, then
PLD Hypothesis 1b (British
The second aspect of the PLD hypothesis is subtler, reflecting the multi-brand, multi-model nature of the industry. By choosing to cannibalise their product, a firm trades-off the loss of market share of its incumbent model against an expansion in the combined sales associated with marketing more than one model. The insight of PLD is that it points out that the degree to which firms compete internally, by offering multiple products, can be mitigated through the extent and degree that a firm is able to differentiate its set of product. Hence
PLD Hypothesis 2a (Market): Within Firm
Competition: Cannibalisation between models of the same firm reduces the
survival of existing models due to within firm competition.
PLD Hypothesis 2b (Market): Within Firm
Competitive Counterforce: Successful differentiation of the set of firm’s models
will prolong the expected life of existing models.
The PLD hypothesis however argues that British Leyland as a multi-brand multi-model firm engaged in cannibalisation it did not differentiated the range of its models from each other thus:
PLD Hypothesis 2b (British
But that
PLD Hypothesis 2b (British
The third PLD hypothesis argues that British Leyland did not upgrade it products. As I have highlighted earlier, technological progress has been an on-going feature of the market and there have been repeated claims in motoring publications that BL’s products have not kept pace with the market.
Model
Upgrading (Market) 3: Quality upgrading by maintaining a model in line with the
market standard prolongs the life of products.
To
investigate to what extent PLD affected the products of British Leyland relative
to those of other market participants I undertake a survival analysis. Survival
– in my case the number of periods that a car survives in the market - is
modelled as a variable t and is an
observation of a random variable T.
The random variable is assumed to have a density function, f(t), and a distribution function, F(t), which defines the survival
function, S(t)=1-F(t). The survival
function shows the probability that the car model survives at least t periods. From the survival the
probability of exit each period, commonly termed the hazard function, can be
defined as
, i.e. the rate at which a spell is completed after duration
t conditional that it has survived
until t. In this formulation the
hazard function is simply a function of time, however it is reasonable to assume
that the hazard rate is a function of PLD as well as model specific factors such
as the age of the car, the segment where it is marketed, the period when the car
was first developed. I estimate, as my workhorse model, the piecewise constant
exponential model,
![]()
where
is the baseline
hazard function, X is a vector of
explanatory variables, and
is a vector of
parameters. My preference for using the piecewise constant exponential model
reflects the flexibility of the model and that I wish to quantify the extent to
which the three hypotheses underlying the PLD hold.[18]
The data set analysed contains 652 models, over the 28 year ‘spells’, amounting
to 4,714 model-spell observations. Correlations between the dependent variable
and the key independent variables related to the hypotheses to be tested are
provided in Appendix 3.
Maximum likelihood estimates of the model are reported in Appendix 4. The initial specification explores aspects of market structure before turning to the central issues of competition and quality upgrading associated to the PLD hypothesis.
Specification 1 incorporates age, cohort, firm entry, and segment effects. The age effects, which are referenced by models that have been launched for less than one year, follow a non-linear pattern. I also include dummy variables for year of introduction, grouped into four-year cohorts. Although the coefficients suggest that the product-life-cycle of cars to be shortening over time, they are not statistically significant. Finally I include segment effects taking the mini-segment as the omitted reference group. The coefficients on the established segments (small family, medium, large, luxury and sports) are positive and significant, while the ones of the "new" segments (jeep and minivan) behave similarly to cars in the mini segment.
Specifications 2-4 assesses the relative impacts of the PLD’s three dimensions on the survival of models at BL between 1971-87 relative to the market as a whole.[19]
The relative effects of internal (cannibalisation) and rival competition in the market and at BL are examined in specification 2.[20] Rivalry can be seen to have had a weakly significant impact on the market, but a stronger effect on the survival of BL’s products with its coefficient being well determined and significantly larger then for the market as a whole. While rival competition was a less important force at the market level cannibalisation was a more pervasive factor. A complication in interpreting the cannibalisation variable is that it may simply capture the effects of product renewal as obsolescent products are discarded. To separate these effects I include a product renew dummy that takes value of one when a brand introduces a new model in a particular year and segment. Product renewal raises the exit hazard, but its inclusion does not alter the effects of cannibalisation.
That cannibalisation has been a dominant force in the car market is perhaps not surprising given the considerable rise in the number of models and model variants the market characterised earlier in Figure 2. Similarly, internal competition does not appear to have been a driving force of model survival at BL whose model exits were strongly determined by attempts to renew its product range.
Specification 3 tests examines the effects of the counter-forces to competition in the form of how well BL and other markets differentiate their individual models (differentiation_model) and model ranges (differentiate_firm) when the first appear in the market, and the degree to which each model and model range is differentiated over time (dispersion_model and dispersion_firm). The PLD hypothesis suggests that BL failed to both differentiate it products or to provide a sufficient degree of direction relative to the market. The results suggest that this was indeed the case but that it was not the initial differentiation of models, but the ability of the BL to disperse its product range with the positive effect of the firm’s dispersion compared to the negative effects in the market as a whole being significantly lower.
Specification 4 examines hypothesis 3: that an inability at BL’s models to keep pace with the market. I find that while upgrading at BL had the effect of enhancing the life of models the impact was relatively minor.
The explanation of the post-war decline of British
industry has been a central question and stimulant of historical research. I
argue that an important root cause of the demise of
Despite competitive pressure BL attempted maintained its product range but was unable to obviate competitive effects through dispersing and differentiating its products. In a market characterised by increasing product cannibalisation and dispersion of models and model ranges in order to avoid the brunt of competition BL bucked the trend. Finally, a lack of quality upgrading of BL’s products, relative to its competitors, meant that its products survival was halved, leading to costly renewal of products. In an industry where the sunk costs of product are high the ability of a BL to maintain its profitability and market dominance was negligible.
References
(abbreviated)
Allan, G.C. (1976), The British
Disease,
Central Policy Review (1975), The Future of the British Car Industry
Church, R.
(1994), Rise and Decline of the British
Motor Vehicle Industry,
Edwardes,
M. (1983), Back from the Brink: An
Apocalyptic Experience,
Foreman-Peck,
J., Bowden, S., and A McKinlay (1995), The British Motor Industry,
Hilton, M. (2003), ‘The Fable of the Sheep; or, Private Virtues, Public Vices. The Consumer Revolution of the Twentieth Century’, Past and Present (forthcoming)
The Motorist Guide to New and Used Car Prices, Blackfriars Press Ltd., 1965-1993
National
National
Enterprise Board (1978), Report on the
British
Parker's Guide to New and Used Car Prices, Parker Mead Ltd., 1972-2001
Porter, P. (1987), The Jaguar Project XJ40, Haynes
Ryder et al. (1977), British Leyland: The Next Decade,
(
Society of
Motor Manufactures and Traders (1965-1973), New Registrations of New Cars by Make and
Model Line, Vans and Hackneys by Make and Other Vehicles by Make and Unladen
weight: in
SMMT (1973-1979), Motorstat NR2
SMMT (1980-1998),
Stavins, J. (1995), ‘Model Entry and Exit in a Differentiated-Product Industry: The Personal Computer Market’, The Review of Economics and Statistics 77, 571-584.
Whip, R. and P. Clark (1986), Innovation and Auto
Williams,
K., Williams, J. and C. Haslam (1987),
The Break Down of Austin-Rover: A Case Study in the Failure of Business Strategy
and Industrial Policy, (
Williams,
K., Williams, J., and D. Thomas (1983), Why are the British so Bad at
Manufacturing?, (
Wood, J.
(1988), The Wheels of Misfortune: The
Rise and Fall of the British Motor Car Industry,
(
Appendix 1 Method to Calculate
Product-Led-Decline Spatial Measures of Quality
2.1 Calculating
‘Quality’
To determine overall value of each of the variants, v of each model m produced by firm f in year t, the pooled hedonic regression being specified as
(1)
where z are vertical differentiated
attributes. In addition to the attribute-based variables, I have included a set
of dummies for time (
), segment (
), firm (
), variables for model and variant age (
), and an i.i.d. error term (
). Because Equation 1 uses model variants as the unit of
aggregation I am able to capture cross-section variation between variants of the
same model, and also to exploit the upgrading of models over time through the
adoption of new model variants embodying vertically differentiated product
innovations and the upgrade of established versions. The quality index is used
to derive all the indices used to test the PLD hypothesis is detailed below.
This appendix illustrates the construction of the within and between firm quality based measures used to evaluate the product-led-decline hypotheses. The first involves developing quality indices for between model (‘model differentiation’ and ‘model dispersion’) and within firm strategic location effects (‘firm differentiation’ and ‘firm dispersion’) that are used to evaluate the two dimension of the second PLD hypothesis. The second is a dynamic measure of quality ‘upgrading’ of models over time to evaluate the third PLD hypothesis.
I first construct a distance measure for each variant with respect to other rivals’ variants in the segment but excluding own firms models,
where
is the rivals’
variant k in segment s at time t-1 (the year before the introduction of
the new model), and i is the number
of rivals‘ variants. Since a model can have multiple variants, a model-level
differentiation index is constructed as the mean of the distance indices of its
variants when the model first enters the market,[22]
![]()
To construct of the within-firm differentiation variable proceeds in a similar fashion to its model-level equivalent. I first calculate a distance measure with respect to other firms’ own models,

where
is a firm
variant i in segment s at time t-1 (the year before the introduction of
the new model), and N is the number
of firms’ variants. Since a model can have multiple variants, I construct a
within-firm differentiation index as the mean of the distance indices of its
variants when the model first enters the market,
![]()
The proposed hypotheses in Section 2 suggest that dispersion will effect the survival of models at both model and firm levels. To measure both dispersion effects I utilise cross-section variation in the variants’ quality index in each year. To do so I first calculate a model dispersion index as
where
is the average
quality index of model m,
, and
is the number of
variants of model m at time t. Next I calculate the model relative
dispersion index (MRDI), which is obtained after normalising
by the segment
dispersion index,

so obtaining
![]()
Next, the firm relative dispersion index (BRDI) is calculated in a similar fashion: by comparing the within-firm quality dispersion to the total dispersion of variants competing in each segment.
![]()
where
is the average
quality index of firm f in each segment s,
and
is the total
number of variants of the firm in segment s. Hence, the BRDI is calculated
as,
![]()
using the definition of
in the
denominator again. Thus, for each firm, the BRDI encapsulates the dispersion of
their own models in a particular segment.
The distance-based measure of upgrading by the ability of the firm to enhance its products between periods. Model upgrading is determined by

where
and
is the number of variants of model m of firm f at times t and t – 1 respectively. Since the data is
taken at the variant level, the model upgrade measure of a model is the
difference between the average of variants qualities making up the model between
periods. However, while upgrading is a one-way process with larger proportions
of “high quality” features being embodied over time, a model’s success in the
market is based not only on a firm’s ability to upgrade each model but also on
its rival’s ability to embody new features. So, while upgrading within a model
is always upward, this need not be the case relative to the market. To capture
this I normalise the upgrading rate of models against the general upgrading
taking place within the segment where each model resides,

where s is the car segment and
is the number of
variants of all models in relevant sub-market segment s at time t.[23]
Upgrading is therefore defined as
Appendix 2 Time line of product
innovations

Appendix 1 (continued)
Time line of product innovations

Appendix 2 Correlation of key
variables with dependent variable
![]() |

Appendix 3 (continued) Determinents of model survival 
[1] Turner, G. (1971), The Leyland Papers, p90
[2]
Central Policy Review (1975), Ryder et
al. (1975) and National
[3] Williams, Williams, and Thomas (1983), Williams, Williams, and Haslam (1987).
[4] I will use the original company name ‘British Leyland’ for the company though the 1971-1998 period appreciating that the firm underwent a number of name and ownership changes to avoid confusion.
[5] Central Policy Review (1975), 67-68.
[6] A compact survey of these literatures is found in an earlier chapter of my thesis.
[7] Edwardes (1983), 41-2
[8] The concept of ‘British disease’ was developed in the
late 1970s being popularised by Allan (1976). The view that British industry as
a whole suffered represented a broadening of a pessimistic literature that
traced the declining fortunes of the troubled 'staple' industries, such as
textiles and coal, to encompass new sectors that had grown out of the
technological advances of the Second Industrial Revolution. These new sectors
included chemicals, and complex manufactured goods associated with industries as
diverse as aerospace, cars, computing, and engineering. However of these
industries, the dramatic decline of the car industry, reflected in the
domestically owned producers' share of the UK car market falling from a dominant
41% in 1970 to less then 13% by 1987, has taken the mantle as the ultimate
metaphor for the 'British disease'.
[9] Import penetration was 7% in 1960 had reached 14.4% in 1970, before expanding to 58% by 1980. The rate of import penetration was about 70% in 1998 (Society of Motor Manufactures and Trades data: authors enumerations).
[10] The degree of market fragmentation found in the market is likely to have reflected both firm strategy and a widening of information about products allowing consumers purchase those models which best meet their needs [see Hilton (2003) for an examination of the development of consumerism in Britain].
[11] By focusing on certain models of BL and significant rivals, such as Ford, the historical literature has not appreciated the major shift and fragmentation in the industry unearth in this study.
[12] Dating the introduction of innovation required a painstaking process of examining issues of the aforementioned trade publications. The careful reader will note that I have two “turbo” introductions, one for turbo into petrol models and another for turbo into diesel models. The rational for doing so is that there are technical difficulties and differing benefits to employing turbo in petrol and diesels. Put simply models with diesel cars, being relatively underpowered for the same engine requirements, benefit more from turbo charging than petrol model. A more detailed analysis of each of the attributes is detailed in a substantive appendix, which is available on request.
[13] Academics agree that the engineering capabilities in
[14] Opt. cite Wood (1988), p176.
[15] Porter (1987), p47.
[16] Wood (1988), p182.
[17] A more direct assessment of effects quality of British Leyland’s manufactures reflected in consumer and motoring publications as a well a detailed account of primary and secondary historical sources is contained in Chapter 2 of the thesis (British Lemons? Quality and Price in the British Car Industry).
[18] The piecewise constant exponential model avoids making
(strong) assumptions concerning the shape of the hazard by allowing the baseline
hazard to vary over time intervals, in my case years, but constrains covariates
to shift the hazard by the same rate within each intervals. Since the baseline
hazard function equals the hazard function for X=0, the effect of a unit change in a
covariate is to produce a constant proportional change in the hazard rate so the
effects of each variable on model exit are easily determined. See Kiefer (1988)
provides a simple introduction to duration analysis.
[19] There was little evidence of PLD after this period.
[20] Rival competition is defined as the number of models competing with each other, excluding those of the same firm in each year. Cannibalisation is number of models that a firm is selling in a segment.
[21] Both dispersion measures are derived in a similar fashion to Stavins (1995) but differ in the degree of aggregation they are calculated at and in that I develop measures of within firm differentiation and dispersion.
[22] The measure, as with the brand level differentiation measure is time invariant. This is reasonable since a model is initially differentiated from it rivals and firms own offering when it is first launch. Subsequent development of the model occurs through variant release and variant upgrading and is captured via the measure of upgrading.
[23] It is widely appreciated that car markets are characterised by a number of well-defined product sub-markets, or segments, that exhibit differing behaviour.