Skip to main content

Advertisement

Log in

Demand for culture in Spain and the 2012 VAT rise

  • Original Article
  • Published:
Journal of Cultural Economics Aims and scope Submit manuscript

Abstract

This paper analyzes the effects that the 2012 VAT rise in Spain had on household’ demand for cultural goods and services. Household’ demands are modeled as a two-stage QUAIDS. After estimating price and expenditure elasticities, and the pass-through parameter associated with the reform, our results show that the individual welfare loss and the increment in the tax bill increase, but less than proportionately, with income. Consequently, the reform can be considered as regressive. Relating the effects of the VAT reform to households’ incomes also implies a low quantitative effect, because of the low proportion of total household expenditure that cultural expenditure represents. From a social perspective, the size of the induced welfare loss would positively depend on society’s inequality aversion. Regardless of the latter, it cannot be concluded whether the reform would have increased or reduced inequality in the distribution of cultural spending. Our results prove qualitatively robust to alternative values of the pass-through parameter.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. As of June 28, 2017, the VAT rates applicable to live shows (and, therefore, excluding cinema) were brought back down to their pre-reform value, i.e., 10%.

  2. If, for instance, the households’ optimal consumption decision were zero, then we could propose a double-hurdle model (Cragg 1971); if the reason were that the households have not purchased the good due to the short time of the survey (in Spain the households cooperate in the survey for 2 weeks a year), a good alternative would be a purchase infrequency model (Blundell and Meghir 1987).

  3. Nevertheless, negative semi-definiteness of the Slutsky substitution term matrix can be neither imposed nor tested.

  4. As mentioned in the introduction, negative semi-definiteness of the Slutsky substitution term matrix can be neither imposed nor tested.

  5. With this aim the Stata\(^{ \copyright }\) nlsur (for nonlinear seemingly unrelated regressions) algorithm and option ifgnls are utilized. The ifgnls option estimates a system of equations by iterated feasible generalized nonlinear least squares, which converges to maximum likelihood.

  6. The Spanish Bureau of Statistics provides nation-wide average price indices for a total of 126 expenditure sub-groups.

  7. Note that \(D\_cap_{2}\), \(D\_size_{5}\), \(D\_region_{6}\), \(D\_gender_{2}\), \(D\_spouse_{2}\), \(D\_ed_{1}\) and \(D\_oc_{2}\) are excluded as they represent the reference categories.

  8. Results, although not shown in the paper in order to save space, are available from the authors upon request.

  9. After computing the median of the Hicksian substitution term matrices for all the households in the sample, it turned out that the corresponding five eigenvalues were both real and negative. In other words, the matrix of medians of substitution terms was negative semi-definite.

  10. Note that \(D\_cap_{2}\), \(D\_size_{5}\), \(D\_region_{6}\), \(D\_gender_{2}\), \(D\_spouse_{2}\), \(D\_ed_{1}\) and \(D\_oc_{2}\) are excluded as they represent the reference categories.

  11. As in the first stage, results are not shown in the paper in order to save space, but are available from the authors upon request.

  12. After computing the median of the Hicksian substitution term matrices for all the households in the sample, it emerged that two out of the three eigenvalues were negative, the other one being positive but close to 0:0.01.

  13. For the sake of precision, Palma-Martos et al. (2009) and Jaén-García (2012) refer to income elasticity.

  14. The reader is referred to Section 8 of the thorough survey in Adam et al. (2011) for further details.

  15. As a first approximation, we assume the same transfer parameter for the three cultural items under study.

  16. This represents a 30.90% increment. To place this figure in context two remarks are in order. First, at least to the best of our knowledge, there are no published data for VAT revenues on, specifically, cultural goods and services. The increment in the total VAT real revenue between 2011 and 2013, however, was 8.5% [see Estadística del año 2013, available at http://www.agenciatributaria.es/AEAT/Contenidos_Comunes/La_-Agencia_Tributaria/Estadisticas/Publicaciones/sites/iva/2013]. And, second, one must bear in mind that tax proceeds depend both on the tax policy and the level of economic activity. Along these lines, Spanish real GDP in 2013 was 3.3% lower than in 2011 [see WEO Data Base, April 2015, available at https://www.imf.org/external/pubs/ft/weo/2015].

  17. Complementary to the individual welfare change measures shown above, we also compute the final and initial equivalent expenditures [Eqs. (25) and (27)]. As explained in Appendix, the measures EE\(^{F}\) and EE\(^{I}\) are closely related to EV and CV, respectively. Since EE\(^{F}\) and EE\(^{I}\) enter into the definitions of the social welfare measures shown in Table 11, we report figures for both EV, CV, EE\(^{F}\) and EE\(^{I}\).

  18. According to our estimate of the pass-through paramater, producers would have absorbed 68.59% of the average rate increase.

  19. The results for other (intermediate) cases, namely \(\hat{\gamma }=66\%\) and \(\hat{\gamma }=33\%\), are not shown in the paper for the sake of space saving, but are available from the authors upon request.

References

  • Adam, S., Phillips, D., Smith, S. (2011). A retrospective evaluation of the elements of the VAT system: Full report. TAXUD/2010/DE/328, European Commission.

  • Álamo-Cerrillo, R., & Lagos-Rodríguez, M. G. (2016). Tax implications of selling electronic books in the European Union. Journal of Theoretical and Applied Electronic Commerce Research, 11(2), 28–40.

    Article  Google Scholar 

  • Amemiya, T. (1974). Multivariate regression and simultaneous equation models when dependent variables are truncated normal. Econometrica, 42, 999–1012.

    Article  Google Scholar 

  • Ateca-Amestoy, V. (2007). Cultural capital and demand. Economics Bulletin, 26(1), 1–9.

    Google Scholar 

  • Atkinson, A. B. (1970). On the measurement of inequality. Journal of Economic Theory, 2, 244–263.

    Article  Google Scholar 

  • Attanasio, O. P., & Lechene, V. (2014). Efficient responses to targeted cash transfers. Journal of Political Economy, 122(1), 178–222.

    Article  Google Scholar 

  • Bakhshoodeh, M. (2010). Impacts of world prices transmission to domestic rice markets in rural Iran. Food Policy, 35, 12–19.

    Article  Google Scholar 

  • Bank of Spain. (2012). Boletín Económico 10/2012. Informe Trimestral de la Economía Española: Octubre.

  • Banks, J., Blundell, R., & Lewbel, A. (1997). Quadratic Engel curves and consumer demand. The Review of Economics and Statistics, 79(4), 527–539.

    Article  Google Scholar 

  • Benedek, D., De Mooij, R., Keen, M., Wingender, P. (2015). Estimating VAT pass through. IMF Working Paper, WP/15/214, International Monetary Fund.

  • Besley, T. J., & Rosen, H. S. (1999). Sales taxes and prices: An empirical analysis. National Tax Journal, 52(2), 157–178.

    Google Scholar 

  • Blackorby, C., Primont, D., & Russell, R. (1998). Separability: A survey. In S. Barberà, P. J. Hammond, & C. Seidl (Eds.), Handbook of utility theory, volume 1, principles (pp. 49–92). Dordrecht: Kluwer Academic Publishers.

    Google Scholar 

  • Blundell, R., & Meghir, C. (1987). Bivariate alternatives to the Tobit model. Journal of Econometrics, 34, 179–200.

    Article  Google Scholar 

  • Blundell, R., & Robin, J. M. (1999). Estimation in large and disaggregated demand systems: An estimator for conditionally linear systems. Journal of Applied Econometrics, 14, 209–232.

    Article  Google Scholar 

  • BOE. (2012). Boletín Oficial del Estado: sábado 14 de julio de 2012, No. 168. Available at https://www.boe.es/boe/dias/2012/07/14/index.php?&lang=es.

  • Bonato, L., Gagliardi, F., & Gorelli, S. (1990). The demand for live performing arts in Italy. Journal of Cultural Economics, 14, 41–52.

    Article  Google Scholar 

  • Borowiecki, K. J., Navarrete, T. (2015). Fiscal and economic aspects of book consumption in the European Union. University of Southern Denmark, Discussion Papers on Business and Economics No. 7/2015.

  • Carpentier, A., & Guyomard, H. (2001). Unconditional elasticities in two-stage demand systems: An approximate solution. American Journal of Agricultural Economics, 83(1), 222–229.

    Article  Google Scholar 

  • Cox, T. M., & Wohlgenant, M. K. (1986). Prices and quality effects in cross-sectional demand analysis. American Journal of Agricultural Economics, 68, 908–919.

    Article  Google Scholar 

  • Cragg, J. G. (1971). Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica, 39, 829–844.

    Article  Google Scholar 

  • Deaton, A., & Muellbauer, J. (1980a). An almost ideal demand system. The American Economic Review, 70(3), 312–326.

    Google Scholar 

  • Deaton, A., & Muellbauer, J. (1980b). Economics and consumer behavior. New York: Cambridge University Press.

    Book  Google Scholar 

  • Devesa-Fernández, M., Herrero-Prieto, L. C., & Sanz-Lara, J. A. (2009). Análisis económico de la demanda de un festival cultural. Estudios de Economía Aplicada, 27–1, 137–158.

    Google Scholar 

  • Dong, D., Gould, B. W., & Kaiser, H. M. (2004). Food demand in Mexico: An application of the Amemiya–Tobin approach to the estimation of a censored food system. American Journal of Agricultural Economics, 86(4), 1094–1107.

    Article  Google Scholar 

  • Drichoutis, A. C., Klonaris, S., Lazaridis, P., & Nayga, R. M. (2008). Household food consumption in Turkey: a comment. European Review of Agricultural Economics, 35(1), 93–98.

    Article  Google Scholar 

  • Edgerton, D. L. (1997). Weak separability and the estimation of elasticities in multistage demand systems. American Journal of Agricultural Economics, 79(1), 62–79.

    Article  Google Scholar 

  • Escardíbul, J. O., & Villarroya, A. (2009). Who buys newspapers in Spain? An analysis of the determinants of the probability to buy newspapers and of the amount spent. International Journal of Consumer Studies, 33, 64–71.

    Article  Google Scholar 

  • European Commission. (2012). VAT rates applied in the member states of the European Union. Situation at 1st January 2012. taxud.c.1(2012)134284—EN.

  • European Commission. (2013). VAT rates applied in the member states of the European Union. Situation at 14th January 2013. taxud.c.1(2013)69198—EN.

  • Fernández-Blanco, V., Orea, L., & Prieto-Rodríguez, J. (2013). Endogeneity and measurement errors when estimating demand functions with average prices: An example from the movie market. Empirical Economics, 44, 1477–1496.

    Article  Google Scholar 

  • Frey, B. S., & Pommerenhe, W. (1989). Muses and markets: Explorations on the economics of the arts. Oxford: Basil Blackwell.

    Google Scholar 

  • Gálvez, P., Mariel, P., & Hoyos, D. (2016). Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado. Estudios de Economía, 43(1), 5–28.

    Article  Google Scholar 

  • Gapinski, J. H. (1984). The economics of performing Shakespeare. American Economic Review, 74, 458–466.

    Google Scholar 

  • García-Enríquez, J., & Echevarría, C. A. (2016). Consistent estimation of a censored demand system and welfare analysis: The 2012 VAT reform in Spain. Journal of Agricultural Economics, 67(2), 324–347.

    Article  Google Scholar 

  • Gravelle, H., & Rees, R. (2004). Microeconomics (3rd ed.). Upper Saddle River: Prentice Hall.

    Google Scholar 

  • Håkonsen, L., & Løyland, K. (2016). Local government allocation of cultural services. Journal of Cultural Economics, 40, 487–528.

    Article  Google Scholar 

  • Hausman, J. A., & Leonard, G. K. (2005). Competitive analysis using a flexible demand specification. Journal of Competition Law and Economics, 1, 279–301.

    Article  Google Scholar 

  • Heien, P., & Wessells, C. R. (1990). Demand systems estimation with microdata: A censored regression approach. Journal of Business and Economic Statistics, 8(3), 365–371.

    Google Scholar 

  • Hjorth-Andersen, C. (2000). A model of the Danish book market. Journal of Cultural Economics, 24, 27–43.

    Article  Google Scholar 

  • Hoderlein, S., & Mihaleva, S. (2008). Increasing the price variation in a repeated cross section. Journal of Econometrics, 147(2), 316–325.

    Article  Google Scholar 

  • Jaén-García, M. (2012). The demand for books and other periodic publications in Spain. Revista Nacional de Administración, 3(1), 167–182.

    Google Scholar 

  • Janský, P. (2014). Consumer demand system estimation and value added tax reforms in the Czech Republic. Czech Journal of Economics and Finance, 64(3), 246–273.

    Google Scholar 

  • King, M. A. (1983a). Welfare analysis of tax reforms using household data. Journal of Public Economics, 21, 183–214.

    Article  Google Scholar 

  • King, M. A. (1983b). The distribution of gains and losses from changes in the tax treatment of housing. In Martin Feldstein (Ed.), Behavioral simulation methods in tax policy analysis (pp. 109–138). Chicago: University of Chicago Press.

    Google Scholar 

  • Labeaga, J. M., & López, A. (1994). Estimation of the welfare effects of indirect tax changes on Spanish households: An analysis of the 1992 VAT reform. Investigaciones Económicas, XVIII(2), 289–311.

    Google Scholar 

  • Lange, M., & Luksetich, W. A. (1984). Demand elasticities for symphony orchestras. Journal of Cultural Economics, 8, 29–48.

    Article  Google Scholar 

  • Lewbel, A. (1989). Identification and estimation of equivalence scales under weak separability. The Review of Economic Studies, 56(2), 311–316.

    Article  Google Scholar 

  • Majumder, A., Ray, R., & Sinha, K. (2012). Calculating rural-urban food price differentials from unit values in household expenditure surveys: A comparison with existing methods and a new procedure. American Journal of Agricultural Economics, 94(5), 1218–1235.

    Article  Google Scholar 

  • Meghir, C., & Robin, J. (1992). Frequency of purchase and the estimation of demand systems. Journal of Econometrics, 53(1), 53–85.

    Article  Google Scholar 

  • Menezes, T. A., Azzoni, C. R., & Silveira, F. G. (2008). Demand elasticities for food products in Brazil: A two-stage budgeting system. Applied Economics, 40, 2557–2572.

    Article  Google Scholar 

  • Ministerio de Educación, Cultura y Deporte. (2011). Estadística 2011. Anuario de Estadísticas Culturales. Available at http://www.mecd.gob.es/servicios-al-ciudadano-mecd/estadisticas/cultura/mc/naec/2011.html.

  • Ministerio de Educación, Cultura y Deporte. (2016). Nota sobre el anuario de estadísticas culturales 2016, Noviembre 2016. Available at http://www.mecd.gob.es/servicios-al-ciudadano-mecd/estadisticas/cultura/mc/naec/2016.html.

  • Mittal, S. (2010). Application of the QUAIDS model to the food sector in India. Journal of Quantitative Economics, 8(1), 42–54.

    Google Scholar 

  • Molina, J. A. (1997). Two-stage budgeting as an economic decision-making process for Spanish consumers. Managerial and Decision Economics, XVIII, 27–31.

    Article  Google Scholar 

  • Molina, J. A. (2002). Modelling the demand behaviour of Spanish consumers using parametric and non-parametric approaches. Journal of Studies in Economics and Econometrics, XXVI, 19–36.

    Google Scholar 

  • Palma-Martos, M. L., Martín-Navarro, J. L., & Jaén-García, M. (2009). El mercado del libro en España 1989–2006. Un análisis económico. Estudios de Economía Aplicada, 27, 225–251.

    Google Scholar 

  • Prieto-Rodriguez, J., Romero-Jordan, D., & Sanz-Sanz, J. F. (2005). Is a tax cut on cultural goods consumption actually desirable? A microsimulation analysis applied to Spain. Fiscal Studies, 26(4), 549–575.

    Article  Google Scholar 

  • Ramadan, R., & Thomas, A. (2011). Evaluating the impact of reforming the food subsidy program in Egypt: A mixed demand approach. Food Policy, 36, 638–646.

    Article  Google Scholar 

  • Ringstad, V., & L ø yland, K. (2006). The demand for books estimated by means of consumer survey data. Journal of Cultural Economics, 30, 141–155.

    Article  Google Scholar 

  • Ringstad, V., & L ø yland, K. (2011). Performing arts and cinema demand: Some evidence of Linder’s disease. Applied Economics Quarterly, 57(4), 255–284.

    Article  Google Scholar 

  • Seaman, B. A. (2006). Empirical studies of the demand for performing arts. In V. A. Ginsburg & David Throsby (Eds.), Handbook of the economics of art and culture, chapter 14 (Vol. 1, pp. 415–472). North Holland: Elsevier

  • Sen, A. (1973). On economic inequality. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Shonkwiler, J. S., & Yen, S. T. (1999). Two-step estimation of a censored system of equations. American Journal of Agricultural Economics, 81, 972–982.

    Article  Google Scholar 

  • Stigler, G. J., & Becker, G. S. (1977). De gustibus non est disputandum. American Economic Review, 67(2), 76–90.

    Google Scholar 

  • Tauchmann, H. (2010). Consistency of Heckman-type two-step estimators for the multivariate sample-selection model. Applied Economics, 42, 3895–3902.

    Article  Google Scholar 

  • Urzúa, C. (2001). Welfare consequences of a recent tax reform in Mexico. Estudios Económicos, 16(1), 57–72.

    Google Scholar 

  • Villarroya, A., & Escardíbul, J. O. (2010). La demanda de libros y publicaciones periódicas en España. Estudios de Economía Aplicada, 28–1, 1–22.

    Google Scholar 

  • Zheng, Z., & Henneberry, S. R. (2010). The impact of changes in income distribution on current and future food demand in urban China. Journal of Agricultural and Resource Economics, 35(1), 51–71.

    Google Scholar 

Download references

Acknowledgements

This study was funded by Spanish Ministry of Economy and Competitiveness and the European Fund of Regional Development (Grant Numbers ECO2015-64467-R and ECO2016-76884-P (MINECO/FEDER)) and by the Basque Government (Grant Numbers DEUI-IT-793-13 and DEUI-IT-783-13).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Javier García-Enríquez.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Appendix

Appendix

1.1 Individual and social welfare: theory

We follow the methods of Urzúa (2001) and first established in King (1983b). We first obtain the tax revenues of the hth household before and (expected) after the tax reform, \(R_{h}^{0}\) and \(R_{h}^{1},\), respectively. Thus, one trivially has that \(R_{h}^{0} = \sum _{i=1}^{n}t_{i}^{0}p_{i,h}^{0}q_{i,h} ^{0}/(1+t_{i}^{0})\) and \(R_{h}^{1}=\sum _{i=1}^{n}t_{i}^{1}p_{i,h}^{1}q_{i,h}^{1}/(1+t_{i}^{1})\), where \(q_{i,h}^{0}\) and \(q_{i,h}^{1}\) denote the hth household’s quantity demanded of the ith good at the old and the new price vector, respectively. We next obtain \(q_{i,h}^{1}\). Assuming a Marshallian demand function \(q_{i,h}=q_{i,h}(p_{1,h},p_{2,h},\ldots p_{n,h} ,m_{h})\), where \(m_{h}\) denotes total expenditure on cultural goods and services, totally differentiating both sides, assuming further as usual that the \(m_{h}\) were invariant to the VAT reform, approximating \(dp_{j,h}\approx p_{j,h}^{1}-p_{j,h}^{0}\), using Eq. (22) and, finally, approximating \(q_{i,h}^{1}\approx\) \(q_{i,h}^{0}+dq_{i,h}\), it can be shown that

$$\begin{aligned} q_{i,h}^{1}=q_{i,h}^{0}\left[ 1+\sum _{j=1}^{n}E_{i,j}^{u}\frac{(t_{j} ^{1}-t_{j}^{0})\times \gamma _{j}}{1+t_{j}^{0}}\right] , \end{aligned}$$
(23)

for \(i=1,2,\ldots ,n\), where \(E_{i,j}^{u}\) denotes the uncompensated (Marshallian) demand cross-price elasticity of good i with respect to price j, which was obtained in Eq. (10). Note that \(q_{i,h}^{1}\) depends on the pass-through parameter, \(\gamma _{j}\), and so does the (expected) after-tax reform, \(R_{h}^{1}\), above defined.

Once price effects of changing the tax rates have been computed, the individual welfare change arising from the tax reform for each household can be estimated in different ways following standard microeconomics. One possible way is the equivalent variation, EV\(_{h}\), or the amount of money which would have to be given to the hth household when it faces the initial price vector, \(p_{h}^{0}\), to make it as well off as it would be facing the new price vector, \(p_{h}^{1}\), with its initial cultural expenditure, \(m_{h}\) (Gravelle and Rees 2004). More formally, upon denoting this household’s indirect utility function by V, EV\(_{h}\) is implicitly defined by \(V(m_{h}+EV_{h},p_{h}^{0})\) \(\equiv V(m_{h},p_{h}^{1})\), so that EV\(_{h}<0\) for \(p_{h}^{1}\ge p_{h}^{0}\), \(p_{h}^{1}\ne p_{h}^{0}\). Thus, from Eqs. (1)–(4) one can explicitly solve for EV\(_{h}\) as

$$\begin{aligned} {\hbox {EV}}_{h}=a({\mathbf {p}}_{h}^{0})\times \exp \left\{ \frac{b({\mathbf {p}}_{h} ^{0})\times \ln \left[ m_{h}/a({\mathbf {p}}_{h}^{1})\right] }{b({\mathbf {p}} _{h}^{1})+\left[ \lambda ({\mathbf {p}}_{h}^{1})-\lambda ({\mathbf {p}}_{h} ^{0})\right] \times \ln \left[ m_{h}/a({\mathbf {p}}_{h}^{1})\right] }\right\} -m_{h}. \end{aligned}$$
(24)

As a closely related concept, one could also define the final equivalent expenditure, EE\(_{h}^{F}\), as

$$\begin{aligned} V({\hbox {EE}}_{h}^{F},{\mathbf {p}}_{h}^{0})\equiv V(m_{h},{\mathbf {p}}_{h}^{1} ), \end{aligned}$$
(25)

(i.e., the expenditure required at pre-reform prices to attain the same level of utility as with post-reform prices) so that EE\(_{h}^{F}\equiv m_{h}+{\hbox {EV}}_{h}<m_{h}\) for \(p_{h}^{1}\ge p_{h}^{0}\), \(p_{h}^{1}\ne p_{h}^{0}\).

As an alternative to EV\(_{h}\), one can also consider the compensating variation, CV\(_{h}\), or the amount of money which must be taken from the hth household’s cultural expenditure, \(m_{h}\), when facing the new price vector, \(p_{h}^{1}\), in order to make it as well off as it was when it faced the old price vector, \(p_{h}^{0}\) (Gravelle and Rees 2004). In other words, CV\(_{h}\) is implicitly defined as \(V(m_{h}-{\hbox {CV}}_{h},p_{h}^{1})\) \(\equiv V(m_{h},p_{h}^{0} )\), so that CV\(_{h}<0\) for \(p_{h}^{1}\ge p_{h}^{0}\), \(p_{h}^{1}\ne p_{h}^{0}\). From Eqs. (1)–(4) one has that CV\(_{h}\) is explicitly solved for as

$$\begin{aligned} {\hbox {CV}}_{h}=m_{h}-a({\mathbf {p}}_{h}^{1})\times \exp \left\{ \frac{b({\mathbf {p}} _{h}^{1})\times \ln \left[ m_{h}/a({\mathbf {p}}_{h}^{0})\right] }{b({\mathbf {p}} _{h}^{0})+\left[ \lambda ({\mathbf {p}}_{h}^{0})-\lambda ({\mathbf {p}}_{h} ^{1})\right] \times \ln \left[ m_{h}/a({\mathbf {p}}_{h}^{0})\right] }\right\} . \end{aligned}$$
(26)

As was the case with the equivalent variation, the compensating variation allows one to define the initial equivalent expenditure, EE\(_{h}^{I}\), as

$$\begin{aligned} V({\hbox {EE}}_{h}^{I},{\mathbf {p}}_{h}^{1})\equiv V(m_{h},{\mathbf {p}}_{h}^{0} ), \end{aligned}$$
(27)

(i.e., the expenditure required at post-reform prices to attain the same level of utility as with pre-reform prices) so that EE\(_{h}^{I}\equiv m_{h}-{\hbox {CV}}_{h}>m_{h}\) for \(p_{h}^{1}\ge p_{h}^{0}\), \(p_{h}^{1}\ne p_{h}^{0}\). Both EE\(_{h}^{F}\) and EE\(_{h}^{I}\) are, therefore, monetary measures of the hth household’s welfare after the tax reform which can be easily computed after Eqs. (24) and (26), respectively. A welfare-enhancing reform (i.e., EV\(_{h}\), CV\(_{h}>0\)) will imply that EE\(_{h}^{I}<m_{h}<{\hbox {EE}}_{h}^{F}\). And, similarly, a reducing welfare reform (i.e., EV\(_{h}\), CV\(_{h}<0\)) will imply that EE\(_{h}^{I}> m_{h}>{\hbox {EE}}_{h}^{F}\). Note that, by construction, EE\(_{h}^{F}-{\hbox {EE}}_{h}^{I}\equiv {\hbox {EV}}_{h}+{\hbox {CV}}_{h}\), which, in case of a welfare loss (gain) as a result of the tax policy, will be negative (positive).

As a complement to these individual welfare change measures, we also consider the welfare effects from a social point of view, i.e., the social value of the reform. Borrowing from the tradition in the related literature, we assume the existence of an indirect social welfare function, W, defined in terms of the vector of equivalent expenditures \(\widehat{\hbox {EE}}=[{\hbox {EE}}_{1},{\hbox {EE}}_{2},\ldots ,{\hbox {EE}}_{H}]\) given by

$$\begin{aligned} W(\cdot )=\left\{ \begin{array}{ll} \frac{1}{H}\sum _{h=1}^{H}\frac{{\hbox {EE}}_{h}^{1-\varepsilon }}{1-\varepsilon },&{}\quad {\text { for} } \quad \varepsilon \ne 1\\ \\ \frac{1}{H}\sum _{h=1}^{H}\ln {\hbox {EE}}_{h},&{}\quad {\text { for} } \quad \varepsilon =1 \end{array} \right. , \end{aligned}$$
(28)

where parameter \(\varepsilon\) captures the degree of aversion to social inequality (see Atkinson 1970). From Eq. (28) one can derive a measure of social value, the proportional increment in initial equivalent expenditure \(\widehat{\hbox {EE}}^{I}=[{\hbox {EE}}_{1}^{I}, {\hbox {EE}}_{2}^{I} ,\) \(\ldots ,{\hbox {EE}}_{H}^{I}]\), which we denote by \(\lambda\), and which is defined as follows: the proportional increase in initial equivalent expenditure that would make it possible to match the social welfare created by the reform \(\widehat{\hbox {EE}}^{F}=[{\hbox {EE}}_{1}^{F},{\hbox {EE}}_{2}^{F},\ldots ,{\hbox {EE}}_{H}^{F}]\). Or, more formally,

$$\begin{aligned}&W(\lambda \times {\hbox {EE}}_{1}^{I},\lambda \times {\hbox {EE}}_{2}^{I},\ldots ,\lambda \times {\hbox {EE}}_{H}^{I})\nonumber \\&\quad \quad =\,W({\hbox {EE}}_{1}^{F},{\hbox {EE}}_{2}^{F},\ldots ,{\hbox {EE}}_{H}^{F}), \end{aligned}$$
(29)

so that, given that EE\(_{h}^{I}>{\hbox {EE}}_{h}^{F}\) as a result of \(p_{h}^{1}\ge p_{h}^{0}\) and \(p_{h}^{1}\ne p_{h}^{0}\), a value \(\lambda <1\) denotes a social welfare loss induced by the reform.

Along the same lines, the equivalent expenditure function can also be used to construct inequality indices for the distribution of equivalent expenditure. Borrowing from Prieto-Rodriguez et al. (2005) who, in turn, follow Atkinson (1970) and Sen (1973), we define the equally distributed equivalent expenditure, G, as the equivalent expenditure level that, distributed equally among all households, would provide the same level of social welfare as the actual distribution of equivalent expenditure. We can define two alternative expressions for G, depending on whether we consider the initial equivalent expenditure, \(G^{I}\), or the final equivalent expenditure, \(G^{F}\), and whose precise definitions are given by

$$\begin{aligned} W(G^{I},G^{I},\ldots ,G^{I})\equiv W({\hbox {EE}}_{1}^{I},{\hbox {EE}}_{2}^{I},\ldots ,{\hbox {EE}}_{H} ^{I}) \end{aligned}$$
(30)

and

$$\begin{aligned} W(G^{F},G^{F},\ldots ,G^{F})\equiv W({\hbox {EE}}_{1}^{F},{\hbox {EE}}_{2}^{F},\ldots ,{\hbox {EE}}_{H} ^{F}). \end{aligned}$$
(31)

Inequality indices can be easily computed as follows. Denote the average initial and final equivalent expenditures as \(\overline{{\hbox {EE}}^{I}} \equiv H^{-1}\sum _{h=1}^{H}{\hbox {EE}}_{h}^{I}\) and \(\overline{\hbox {EE}^{F}}\equiv H^{-1}\sum _{h=1}^{H}{\hbox {EE}}_{h}^{F},\) respectively. If W is concave (therefore denoting inequality aversion), then \(G^{I}\le \overline{\hbox {EE}^{I}}\) and \(G^{F}\le \overline{\hbox {EE}^{F}}\). Under the assumption that \(W(\cdot )\) is symmetrical and concave, previous definitions provide two inequality indices (one for the initial equivalent expenditure, the other for the final equivalent expenditure):

$$\begin{aligned} A^{I}\equiv 1-\frac{G^{I}}{\overline{\hbox {EE}^{I}}}, \quad {\text {and } }\quad A^{F} \equiv 1-\frac{G^{F}}{\overline{\hbox {EE}^{F}}}, \end{aligned}$$
(32)

where \(A^{I},A^{F}\in [0,1]\).

Given Eq. (28) is conveniently solved to yield \(G^{I}\) and \(G^{F}\) as

$$\begin{aligned} G^{I}(\varepsilon )=\left[ \frac{1}{H}\sum _{h=1}^{H}\left( {\hbox {EE}}_{h}^{I}\right) ^{1-\varepsilon }\right] ^{\frac{1}{1-\varepsilon }}, \quad {\text {and } }\quad G^{F}(\varepsilon )=\left[ \frac{1}{H}\sum _{h=1}^{H}\left( {\hbox {EE}}_{h}^{F}\right) ^{1-\varepsilon }\right] ^{\frac{1}{1-\varepsilon }}, \end{aligned}$$

for \(\varepsilon \ne 1\), and

$$\begin{aligned} G^{I}(\varepsilon )=\exp \left\{ \frac{1}{H}\sum _{h=1}^{H}\ln {\hbox {EE}}_{h} ^{I}\right\}, \quad {\text {and } }\quad G^{F}(\varepsilon )=\exp \left\{ \frac{1}{H}\sum _{h=1}^{H}\ln {\hbox {EE}}_{h}^{F}\right\} , \end{aligned}$$

for \(\varepsilon =1\). Four remarks follow. First, note that from Eqs. (28)–(31) the welfare change can be easily computed as

$$\begin{aligned} \lambda (\varepsilon )=\frac{G^{F}(\varepsilon )}{G^{I}(\varepsilon )}, \end{aligned}$$
(33)

where \(G^{I}(\varepsilon )\) and \(G^{F}(\varepsilon )\) have just been obtained immediately above, and both \(G^{I}\) and \(G^{F}\) are expressed as explicitly dependent on \(\varepsilon\), the parameter reflecting the degree of aversion to social inequality for the social welfare function W in Eq. (28). Second, it is the case that \(\overline{\hbox {EE}^{I}}=G^{I}(\varepsilon )\) and \(\overline{\hbox {EE}^{F}}=G^{F}(\varepsilon )\) if and only if \(\varepsilon =0\); that is to say, equally distributed equivalent expenditures equal average equivalent expenditures if and only if there is no inequality aversion. Third, \(\overline{\hbox {EE}^{I}}>G^{I}(\varepsilon )\) and \(\overline{\hbox {EE}^{F}}>G^{F}(\varepsilon )\) if and only if \(\varepsilon >0\). And, fourth, taking into account Eq. (32), the social welfare change associated with the reform in Eq. (33) can be rewritten as

$$\begin{aligned} \lambda (\varepsilon )=\frac{\left[ 1-A^{F}(\varepsilon )\right] \times \overline{\hbox {EE}^{F}}}{\left[ 1-A^{I}(\varepsilon )\right] \times \overline{\hbox {EE}^{I}}}, \end{aligned}$$
(34)

where the inequality indices in Eq. (32) have been explicitly expressed as functions of \(\varepsilon\). This means that the proportional social gain equals the increment in the mean equivalent expenditure \(\overline{\hbox {EE}^{F}}\times \overline{\hbox {EE}^{I}}^{-1}\) times the change in the (equality) indices \(\left[ 1-A^{F}(\varepsilon )\right] \times \left[ 1-A^{I}(\varepsilon )\right] ^{-1}\).

1.2 Robustness check exercise

We show below the results corresponding to one alternative value for the pass-through parameter estimation: the extreme case of \(\hat{\gamma }=100.00\%\) (i.e., VAT tax rate changes are completely shifted to consumers, so that producers’ prices stay constant; as noted above, the usual assumption in this kind work) (see Tables  12,  13,  14).

Consider the complete shift case whose results are shown in Tables  12 and  13 (in absolute and in relative terms, respectively) and in Table 14. The pattern is clear. First, post-reform tax revenues (and the corresponding increments) are higher for higher pass-through parameter values, which is simply a natural consequence of the price-inelastic demands for cultural goods and services [see own-price elasticities in Table 8]. Second, a higher pass-through parameter value implies a higher welfare loss from the consumers’ stand point as, of course, consumers’ prices must rise more. For instance, the value that we obtain for the median equivalent variation is closer to those obtained by Prieto-Rodriguez et al. (2005) for the hypothetical reforms that they consider and, also, under the complete shift assumption. The reader can compare the values in the last row of Table 12 with the values in Table 8, last row, in Prieto-Rodriguez et al. (2005). Third, here we have also computed two alternative measures of the excess burden referred to above (one based on the equivalent variation, the other on the compensating variation). As expected both measures show a negative sign. Higher levels of income are associated with higher levels of excess burden (see Table 12, columns 8 and 9). Fourth, and most important, when considering the effects relative to households’ incomes, the regressive nature of the VAT policy reform is clearly confirmed on average (see Table 13).

Table 12 Distributive analysis of welfare (\(\hat{\gamma }=100.00\%\))
Table 13 Distributive analysis of welfare relative to annual income (\(\hat{\gamma }=100.00\%\))

Table 14 shows the counterpart to Table 11: social welfare effects of the VAT reform, but this time under the assumption that the change in tax rates is completely shifted to consumers. Comparing columns 5 in Tables 11 and 14 the observed result is natural: everyone would expect that if the shift of the increments in tax rates are higher, for any inequality aversion parameter, the welfare loss will be higher (the values of King’s \(\lambda\) in Table 14 fall below those in Table 11). The ordering in the Atkinson’s inequality indices remains the same, i.e., \(A^{I}(\varepsilon )<A^{0} (\varepsilon )<A^{F}(\varepsilon )\) for all the \(\varepsilon\)’s considered, so that one cannot determine whether the VAT reform would have reduced or increased the inequality of the distribution of cultural expenditure among Spanish households.

Table 14 King’s proportional increase in initial equivalent income (\(\hat{\gamma }=100\%\))

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

García-Enríquez, J., Echevarría, C.A. Demand for culture in Spain and the 2012 VAT rise. J Cult Econ 42, 469–506 (2018). https://doi.org/10.1007/s10824-018-9317-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10824-018-9317-5

Keywords

JEL Classifications

Navigation