Market potential and city growth: Spain 1860–1960

Abstract

In this paper, we employ parametric and nonparametric techniques to analyse the effect of market potential on the structure and growth of Spanish cities during the period 1860–1960. Even though a few attempts have been made to analyse whether market potential might influence urban structures, this period is especially interesting because it is characterised by advances in the economic integration of the national market together with an intense process of industrialisation. By using an elaborated measure of market potential at the city level, our results show a positive influence of this market potential on city growth, although this influence is heterogeneous over time. Only changes in the market potential from 1900 have a significant effect on population growth.

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Fig. 1
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Fig. 5

Notes

  1. 1.

    See Redding (2010) for a survey on this literature.

  2. 2.

    We use a measure of real transport costs. Combes and Lafourcade (2005) conclude that this is a better approach.

  3. 3.

    See, for example, Ringrose (1996) for further details.

  4. 4.

    A more detailed description of these processes can be found in Rosés et al. (2010).

  5. 5.

    Most of the empirical contributions to the Spanish case discussed below adopt the standard empirical methodologies developed for the analysis of NEG models. Redding (2010) offers a recent survey of these empirical methods.

  6. 6.

    Ayuda et al. (2010).

  7. 7.

    Kancs (2005) also makes use of this approach to analyse the determinants of migratory flows in the European Union.

  8. 8.

    In a similar vein, Goerlich and Mas (2009) also study the long-term determinants of the agglomeration of the population in Spain.

  9. 9.

    We also estimate the Pareto exponent using simple OLS regressions and the Hill estimator, and the results are quite similar.

  10. 10.

    However, there is a statistical relationship between Zipf’s law and the main concentration indices: Gini, Bonferroni, Amato and the Hirschman–Herfindahl index (Naldi 2003).

  11. 11.

    Provinces are Spanish NUTS3 regions.

  12. 12.

    See Martínez-Galarraga (2010) for a detailed description.

  13. 13.

    www.dataloy.com and www.distances.com.

  14. 14.

    In 1930, however, road transport was not yet playing an important role, and therefore, it was not considered (Herranz 2006).

  15. 15.

    Two exceptions include Cuba, a market that received a high percentage of Spanish exports, above all in the mid-nineteenth century (18.5 % of the total but only 5.3 % in 1913 and 2.1 % in 1930), and Argentina, whose market exceeded the 5 % threshold on the eve of the First World War. They are excluded due to data restrictions regarding GDP at current prices. However, it ought to be the case that the limited size of their markets and, especially, the great distance separating them from the Peninsula would minimise the cost of their exclusion.

  16. 16.

    Overall, these four countries accounted for 62.4 % of Spanish exports in 1865/1869, 57.8 % in 1895/1899, 58.0 % in 1910/1913 and 58.9 % in 1931/1935, with France and Great Britain the main markets.

  17. 17.

    Crafts (2005) gives disaggregated information for regional GDP in Great Britain. Hence, it is possible to calculate market potential, not by assigning all the economic activity in Britain to London but rather by distributing it between the nodes selected for each of the 12 regions. However, this approach provides similar results.

  18. 18.

    Therefore, the self-potential of each city is obtained from provincial market potential in proportion to the population of the city over the overall provincial population. For example, the population of Madrid City in 1860 was 57 % of the total population of the Madrid Province, and this is the same proportion that we apply to province domestic market potential to obtain the own market potential of Madrid City. This value can be considered to be a lower bound because the share of province market potential corresponding to the largest cities is probably greater than their proportion of the total population, as nonlinear behaviours and increasing returns to scale can be involved in a NEG framework.

  19. 19.

    The local polynomial smoother fits the growth rate g it  = ( ln S it+1 – ln S it ) to a polynomial form of ln MP it−1 via locally weighted least squares. We use the lpolyci command in STATA with the following options: local mean smoothing, a Gaussian kernel function to calculate the locally weighted polynomial regression and a bandwidth determined using Silverman’s (1986) rule of thumb.

  20. 20.

    We must consider homogeneous periods because, if we mixed different time periods (1860–1900 and decennial data since 1900) the later periods could overpower the estimated effects just because we would have more decade observations.

  21. 21.

    Note that as new cities enter the sample over time and Eq. (7) includes past population growth rates, the total number of observations in our regressions does not coincide with the sum of the number of cities by period shown in Table 1.

  22. 22.

    Nevertheless, we also estimate using provincial market potential instead of city market potential, and the results are similar. These results are shown in ‘Appendix’, Tables 7 (OLS results) and 8 (IV results).

  23. 23.

    This positive effect is expected to fall with the market potential size for many cities, given the transition to a U-shaped pattern previously observed in Fig. 3. To check this possible nonlinear relationship, we rerun Eq. (7) using the squared market potential variable, γ(ln MP it−1)2, instead of β ln MP it−1, expecting a γ positive coefficient. The results reveal a slight nonlinear relationship (estimated coefficients are between 0.003 and 0.004) only significant in the 1930–1960 period (as Fig. 3 shows) and for the pool 1860–1960. These results are available from the authors on request.

  24. 24.

    We use regional population density instead of city population density because provincial boundaries remain constant over time, while city boundaries change in some cases.

  25. 25.

    Thus, population density values from 1787 are used to estimate market potential in 1860, 1860 values to estimate market potential in 1900 and the values from 1900 to estimate market potential in 1930.

  26. 26.

    The complete results of the reduced regressions, first-stage regressions and all the tests, not shown for size restrictions, are available from the authors on request.

References

  1. Ades AF, Glaeser EL (1995) Trade and circuses: explaining urban giants. Q J Econ 110:195–227

    Article  Google Scholar 

  2. Au CC, Henderson JV (2006) Are Chinese cities too small. Rev Econ Stud 73:549–576

    Article  Google Scholar 

  3. Ayuda MI, Collantes F, Pinilla V (2010) From locational fundamentals to increasing returns: the spatial concentration of population in Spain, 1787–2000. J Geogr Syst 12:25–50

    Article  Google Scholar 

  4. Azagra J, Chorén P, Goerlich FJ, Mas M (2006) La localización de la población española sobre el territorio. Un siglo de cambios: un estudio basado en series homogéneas (1900–2001). Fundación BBVA. Madrid

  5. Barquín R (1999) El ahorro social: una perspectiva dinámica In: Muñoz, Sanz, Vidal (ed) Siglo y medio del ferrocarril en España 1848–1998. Economía, Industria y Sociedad. Fundación de los Ferrocarriles Españoles. Madrid

  6. Black D, Henderson JV (2003) Urban evolution in the USA. J Econ Geogr 3:343–372

    Article  Google Scholar 

  7. Bosker EM, Brakman S, Garretsen H, de Jong H, Schramm M (2008) Ports, plagues and politics: explaining Italian city growth 1300–1861. Eur Rev Econ Hist 12:97–131

    Article  Google Scholar 

  8. Castañeda L, Tafunell X (1993) Un nuevo indicador para la historia financiera española: la cotización de las letras de cambio a corto plazo. Revista de Historia Económica 11:367–383

    Article  Google Scholar 

  9. Cheshire P (1999) Trends in sizes and structure of urban areas. In: Cheshire P, Mills ES (eds) Handbook of regional and Urban economics, vol 3. Elsevier Science, Amsterdam

    Google Scholar 

  10. Combes PP, Lafourcade M (2005) Transport costs: measures, determinants, and regional policy implications for France. J Econ Geogr 5:319–349

    Article  Google Scholar 

  11. Combes PP, Lafourcade M, Thisse J-F, Toutain JC (2011) The rise and fall of spatial inequalities in France: a long-run perspective. Explor Econ Hist 48:243–271

    Article  Google Scholar 

  12. Crafts N (2005) Market potential in British regions, 1871–1931. Reg Stud 39:1159–1166

    Article  Google Scholar 

  13. Crozet M (2004) Do migrants follow market potentials? An estimation of a new economic geography model. J Econ Geogr 4:439–458

    Article  Google Scholar 

  14. Da Mata D, Deichmann U, Henderson JV, Lall SV, Wang HG (2007) Determinants of city growth in Brazil. J Urban Econ 62:252–272

    Article  Google Scholar 

  15. Davis DR, Weinstein DE (2002) Bones, bombs, and break points: the geography of economic activity. Am Econ Rev 92:1269–1289

    Article  Google Scholar 

  16. Dirección General de Obras Públicas (1861) Memoria sobre el progreso de las Obras Públicas en España, en los años 1859 y 1860. Madrid

  17. Dobkins L, Ioannides YM (2001) Spatial interactions among US cities: 1900–1990. Reg Sci Urban Econ 31:701–731

    Article  Google Scholar 

  18. Estevadeordal A, Frantz B, Taylor AM (2003) The rise and fall of world trade, 1870–1939. Quart J Econ 118:359–407

    Article  Google Scholar 

  19. Frax E (1981) Puertos y comercio de cabotaje en España, 1857–1934. Banco de España, Madrid

    Google Scholar 

  20. Fujita M, Krugman P, Venables AJ (1999) The spatial economy: cities, regions and international trade. The MIT Press, Cambridge

    Google Scholar 

  21. Gabaix X, Ibragimov R (2011) Rank-1/2: a simple way to improve the OLS estimation of tail exponents. J Bus Econ Stat 29:24–39

    Article  Google Scholar 

  22. Gabaix X, Ioannides YM (2004) The evolution of city size distributions. In: Henderson JV, Thisse JF (eds) Handbook of urban and regional economics. Elsevier Science, Amsterdam

    Google Scholar 

  23. Garcia-López MA, Holl A, Viladecans-Marsal E (2015) Suburbanization and highways in Spain when the Romans and the Bourbons still shape its cities. J Urban Econ 85:52–67

    Article  Google Scholar 

  24. Glaeser EL, Shapiro J (2003) Urban Growth in the 1990s: Is city living back? J Reg Sci 43:139–165

    Article  Google Scholar 

  25. Goerlich F, Cantarino I (2010) Un índice de rugosidad del terreno a escala municipal a partir de modelos de elevación digital de acceso público. Documento de Trabajo. Julio 2010. FBBVA

  26. Goerlich FJ, Mas M (2009) Drivers of agglomeration: geography vs. history. Open Urban Stud J 2:28–42

    Article  Google Scholar 

  27. Hanson GH (1996) Economic integration, intraindustry trade, and frontier regions. Eur Econ Rev 40:941–949

    Article  Google Scholar 

  28. Hanson G (2005) Market potential, increasing returns and geographic concentration. J Int Econ 67:1–24

    Article  Google Scholar 

  29. Harris CD (1954) The market as a factor in the localization of industry in the United States. Ann Assoc Am Geogr 44:315–348

    Google Scholar 

  30. Head K, Mayer T (2006) Regional wage and employment responses to market potential in the EU. Reg Sci Urban Econ 36(5):573–594

    Article  Google Scholar 

  31. Henderson JV, Wang HG (2007) Urbanization and city growth: the role of institutions. Reg Sci Urban Econ 37:283–313

    Article  Google Scholar 

  32. Herranz A (2006) Railroad impact in backward economies: Spain 1850–1913. J Econ Hist 66:853–881

    Google Scholar 

  33. Holl A (2012) Market potential and firm-level productivity in Spain. J Econ Geogr 12:1191–1215

    Article  Google Scholar 

  34. Ioannides Y, Overman H (2004) Spatial evolution of the US urban system. J Econ Geogr 4:131–156

    Article  Google Scholar 

  35. Kancs DA (2005) Can we use NEG models to predict migration flows? An example of CEE accession countries. Migr Lett 2:32–63

    Google Scholar 

  36. Koenker R, Bassett G (1978) Regression quantiles. Econometrica 46(1):33–50

    Article  Google Scholar 

  37. Krugman P (1991) Increasing returns and economic geography. J Polit Econ 93:483–499

    Article  Google Scholar 

  38. Lanaspa L, Pueyo F, Sanz F (2003) The evolution of Spanish urban structure during the twentieth century. Urban Stud 40:567–580

    Article  Google Scholar 

  39. Martínez-Galarraga J (2010) Market integration and regional inequality in Spain, 1860–1930, PhD dissertation, Universitat de Barcelona

  40. Martínez-Galarraga J (2012) The determinants of industrial location in Spain, 1856–1929. Explor Econ Hist 49:255–275

    Article  Google Scholar 

  41. Ministerio de Obras Públicas (1902) Estadísticas de Obras Públicas, años 1899 y 1900. Dirección General de Obras Públicas, Madrid

    Google Scholar 

  42. Mitchell BR (1998a) International historical statistics. Europe 1750–1993. Macmillan, London

    Google Scholar 

  43. Mitchell BR (1998b) International historical statistics. The Americas 1750–1993. Macmillan, London

    Google Scholar 

  44. Mohammed SI, Williamson JG (2004) Freight rates and productivity gains in British tramp shipping 1869–1950. Explor Econ Hist 41:172–203

    Article  Google Scholar 

  45. Nadal J (1975) El fracaso de la revolución industrial en España, 1814–1913. Ariel, Barcelona

    Google Scholar 

  46. Naldi M (2003) Concentration indices and Zipf’s law. Econ Lett 78:329–334

    Article  Google Scholar 

  47. O’Rourke KH (2000) Tariffs and growth in the late 19th century. Econ J 110:456–483

    Article  Google Scholar 

  48. Paluzie E, Silvestre J, Pons J, Tirado DA (2009) Migrants and market potential in Spain over the 20th century: a test of the new economic geography. SpanEconRev 11:243–265

    Article  Google Scholar 

  49. Peña D, Sánchez-Albornoz N (1983) Dependencia dinámica entre precios agrícolas. El trigo en España, 1857–1890. Un estudio empírico, Estudios de Historia Económica, Banco de España, Madrid

  50. Prados de la Escosura L (2000) International comparisons of real product, 1820–1990: an alternative data set. Explor Econ Hist 37:1–41

    Article  Google Scholar 

  51. Redding SJ (2010) The empirics of new economic geography. J Reg Sci 50:297–311

    Article  Google Scholar 

  52. Redding SJ, Sturm DM (2008) The costs of remoteness: evidence from German division and reunification. Am Econ Rev 98:1766–1797

    Article  Google Scholar 

  53. Reher D (1994) Ciudades, procesos de urbanización y sistemas urbanos en la península ibérica, 1550–1991. In: Guàrdia M, Monclús FJ, Oyón JL (eds) Atlas histórico de las ciudades europeas. Península Ibérica. Salvat-Centre de Cultura Contemporània de Barcelona, Barcelona

    Google Scholar 

  54. Ringrose D (1996) Spain, Europe and the “Spanish Miracle”, 1700–1990. Cambridge University Press, Cambridge

    Google Scholar 

  55. Rosés JR (2003) Why isn’t the whole of Spain industrialized? New Economic Geography and early industrialization, 1797–1910. J Econ Hist 63:995–1022

    Article  Google Scholar 

  56. Rosés JR, Sánchez-Alonso B (2004) Regional wage convergence in Spain 1850–1930. Explor Econ Hist 41:404–425

    Article  Google Scholar 

  57. Rosés JR, Martínez-Galarraga J, Tirado DA (2010) The upswing of regional income inequality in Spain (1860–1930). Explor Econ Hist 47:244–257

    Article  Google Scholar 

  58. Silverman BW (1986) Density estimation for statistics and data analysis, 1st edn. Chapman and Hall/CRC, Cleveland

    Google Scholar 

  59. Silvestre J (2005) Internal migrations in Spain, 1877–1930. Eur Rev Econ Hist 9:233–265

    Article  Google Scholar 

  60. Tena A (2005) Sector exterior. In: Carreras A, Tafunell X (eds) Estadísticas históricas de España, siglos XIX y XX, vol II. Fundación BBVA, Bilbao

    Google Scholar 

  61. Tirado DA, Paluzie E, Pons J (2002) Economic integration and industrial location: the case of Spain before World War I. J Econ Geogr 2:343–363

    Article  Google Scholar 

  62. Wais F (1987) Historia de los ferrocarriles españoles. Fundación de los Ferrocarriles Españoles, Madrid

    Google Scholar 

  63. Wolf N (2007) Endowments vs. market potential: What explains the relocation of industry after the Polish reunification in 1918? Explor Econ Hist 44:22–42

    Article  Google Scholar 

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Acknowledgments

This research received financial support from projects ECO2012-39169-C03-02, ECO2013-45969-P and ECO2013-41310-R (Ministerio de Economía y Competitividad), 2014SGR00420 (Generalitat de Catalunya), DGA (ADETRE research group) and FEDER. We acknowledge the helpful comments from Jeffrey Lin and Gabriel Ahlfeldt. We are also grateful to the participants at the 7th Meeting of the Urban Economics Association, at the 59th Annual North American Meetings of the Regional Science Association International (Ottawa, 2012), at the XXXVII Symposium of Economic Analysis (Vigo 2012), at the Sixth Iberian Economic History Conference (Zaragoza 2013), at the Seventh World Congress of Cliometrics (Honolulu 2013) and at the Royal Economic Society Conference (Manchester 2014). We thank F. J. Goerlich and Julio Martinez-Galarraga for the provision of some unpublished data.

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Correspondence to Elisabet Viladecans-Marsal.

Appendix

Appendix

See Tables 7 and 8.

Table 7 Spanish city size growth: provincial market potential, OLS estimates
Table 8 Spanish city size growth: provincial market potential, IV estimates

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González-Val, R., Tirado-Fabregat, D.A. & Viladecans-Marsal, E. Market potential and city growth: Spain 1860–1960. Cliometrica 11, 31–61 (2017). https://doi.org/10.1007/s11698-015-0139-9

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Keywords

  • Market potential
  • Urban structure
  • City growth
  • Economic history

JEL Classification

  • R0
  • N9
  • O18
  • N64
  • F14