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Technical Change in the Private Consumption Converter

Author

Listed:
  • Rolando Alcala
  • Gabrielle Antille
  • Emilio Fontela

Abstract

The analysis of technological change is centered on the study of the evolution of technical coefficients in the input-output table. Complementary to this analysis, the household consumption expenditure matrix, relating consumption by commodities to consumption by purpose or by function, also incorporates some other aspects of technological change. Thus, the evolution in time of the coefficients of this consumption expenditure matrix will portray technological processes, implying substitutions between commodities to satisfy the different functions The substitution between consumption expenditure by functions is also to be taken into consideration, because it can influence, together with technological change, the use of commodities in the final demand. For Switzerland, a 1980-89 time series of household consumption expenditure matrices with 37 commodities and 58 functional consumption categories has been estimated using data from consumer expenditure surveys. In this paper, instruments generally applied to the analysis of changes in input-output technical coefficients are extended to these matrices, including methods that deal with biproportional processes of substitution.

Suggested Citation

  • Rolando Alcala & Gabrielle Antille & Emilio Fontela, 1999. "Technical Change in the Private Consumption Converter," Economic Systems Research, Taylor & Francis Journals, vol. 11(4), pages 389-400.
    • Handle: RePEc:taf:ecsysr:v:11:y:1999:i:4:p:389-400
    DOI: 10.1080/09535319900000028
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    Citations

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    Cited by:

    1. Mette Wier & Manfred Lenzen & Jesper Munksgaard & Sinne Smed, 2001. "Effects of Household Consumption Patterns on CO2 Requirements," Economic Systems Research, Taylor & Francis Journals, vol. 13(3), pages 259-274.
    2. Sikhanwita Roy & Tuhin Das & Debesh Chakraborty, 2002. "A Study on the Indian Information Sector: An Experiment with Input-Output Techniques," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 107-129, June.
    3. Jan A van der Linden & Erik Dietzenbacher, 2000. "The Determinants of Structural Change in the European Union: A New Application of RAS," Environment and Planning A, , vol. 32(12), pages 2205-2229, December.
    4. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    5. Druckman, Angela & Buck, Ian & Hayward, Bronwyn & Jackson, Tim, 2012. "Time, gender and carbon: A study of the carbon implications of British adults' use of time," Ecological Economics, Elsevier, vol. 84(C), pages 153-163.
    6. de Boer, P.M.C., 2006. "Structural decomposition analysis and index number theory: an empirical application of the Montgomery decomposition," Econometric Institute Research Papers EI 2006-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Aying Liu & David Saal, 2001. "Structural Change in Apartheid-era South Africa: 1975-93," Economic Systems Research, Taylor & Francis Journals, vol. 13(3), pages 235-257.

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