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The Competiveness of the Spanish Regions

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Regional Policy, Economic Growth and Convergence
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Abstract

Competitiveness is a widely popular concept, which has saved in practise, to denote efficient economic behaviour. The wide dissemination of the competitiveness ranking of countries published annually by the World Economic Forum of Davos (Switzerland), or the fact that the European Union defines some of the global problems, which affect the countries of the EU in terms of the competitiveness gap, have footered the use of this expression in the media. The use of the term to denominate some of the objectives of the European Regional policy has also contributed to extending the use of the expression, as well as the work of prestigious consultants, such as Michael Porter, in influential works, such as The Competitive Advantage of Nations (1990). This expansion has been to the detriment of conceptual clarity. While the expression competitiveness was limited to business economics, its meaning remained relatively well determined: the capacity of a company to be competitive can be placed in relation with the possibilities it has to maintain or increase the returns from its assets in the prevailing conditions in open markets. The fact that a company gains a market share at the cost of the other companies which operate in the same sector has served to establish a strong link between the idea of business competitiveness and the idea of rivalry. The growing application of the concept of competitiveness, not to specific companies, but to regions or countries, entails a change of scale, which involves important risks from the analytical point of view. This is due, in the first place, to the fact that, at national or regional level, there is nothing equivalent to business bankruptcy. In the second place, the red numbers in the trade balance of a country or region are not equivalent to the losses reported on the financial statement of a company. Instead of constituting an unarguable symptom of competitive failure, they constitute an indicator of the temporary existence of a macroeconomic imbalance between domestic expenditures and internal production. The conceptual ambiguity also persists when other indicators related to foreign trade are used. Thus, if the improvements in competitiveness are linked to the gains in the relative market share of the exports of a country in the international market, then it must be acknowledged that this does not guarantee an improvement of national welfare. Actually, its significance in this area will depend on the reasons which gave rise to the improvements. This will not have the same connotation in terms of welfare if it responds to the capacity of the domestic companies to supply highly differentiated products, which are attractive for the consumers from other countries, than if it is the temporary fruit of a recession in the domestic market accompanied by the depreciation of the national currency. Something similar occurs with the adoption of the real exchange rate as an indicator of competitiveness (Cellini and Soci, 2002), as the temporary stability of the real exchange rate can conceal an important loss of profitability in the exporting companies when these cannot transfer their increases in costs per unit of the product to their foreign customers. In this case, it would be difficult to maintain that domestic exports remained competitive, even though this is the impression conveyed by the observed trend in the real exchange rate.

This chapter brings together the main ideas expressed in the first two chapters of the book entitled Competitividad, crecimiento y capitalización de las regiones españolas, written by the author of this chapter and published in 2007 by the Fundación BBVA and also in Cuaderno No 8 of the Fundación BBVA ‘Capital y Crecimiento’ Project, published in 2008 under title of Competitividad y crecimiento: una perspectiva regional, of the same author.

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Notes

  1. 1.

    Human capital wealth jointly represents individuals’ current and future productive capacity and is measured by means of the present value of the future wages to be received by an individual throughout his/her life. The main simplifying assumption is that the 1995 relative wage structure is maintained over time. Once calculations have been made accordingly for each type of individual, bearing in mind his education, age and gender in the base year, the estimates are applied to the economically active population in each region (Serrano and Pastor, 2002).

  2. 2.

    Technological capital stock is obtained from the accumulation of real investment in R&D made in each region. Investment is assumed to accumulate in accordance with the permanent inventory method. The result is divided by the number of people in employment in each region (Gumbau and Maudos, 2006).

  3. 3.

    The diversification ratio employed is calculated using the following formula:

    Region i diversification ratio:

    $ {{\rm C}}{{{\rm D}}_i} = \frac{{{{\left( {\sum\limits_{j = 1}^L {{Y_{ij}}} } \right)}^2}}}{{L\sum\limits_{j \,= 1}^L {Y_{ij}^2} }},\,i{{\rm \, = 1,}}...,N;j{{\rm \, = 1,}}...,L;\;\frac{1}{L} \le {{C}}{{ {D}}_i} \le 1 $
    ${{\rm CD}}_i^* = \frac{L}{L - 1}\left( {{{\rm C}}{{{\rm D}}_1} - \frac{1}{L}} \right);\,0 \le {{CD}}_i^* \le 1, $

    Where Y ij = value of output in region i of sector j

  4. 4.

    This is a measurement of the level of wellbeing in a society, elaborated by the United Nations since 1990. It is calculated as the arithmetic average of three indicators: life expectancy, education and GDP per capita. In order to measure education, the index takes into account both the adult literacy rate and the gross rate of combined enrolment in primary school, secondary school and university (Herrero et al., 2004; Herrero and Soler, 2005).

  5. 5.

    Pérez (2005, 2006) develops a measure of social capital and analyses its effects on economic growth.

  6. 6.

    Mas and Quesada (2005) classify different branches of industry according to how much they use ICT in the Spanish economy as a whole. In our case, this national classification is applied to regional data and we have calculated the share of activities with high ICT content in each region’s GVA.

  7. 7.

    Standardisation consists of subtracting the average and dividing by the standard deviation in order to prevent the variables with the greatest variance from dominating results.

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Correspondence to Ernest Reig-Martínez .

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Reig-Martínez, E. (2009). The Competiveness of the Spanish Regions. In: Cuadrado-Roura, J. (eds) Regional Policy, Economic Growth and Convergence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02178-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-02178-7_12

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