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Identifying Consumers’Profiles Concerning Residential Lighting

Author

Listed:
  • Titus Felix FURTUNĂ

    (The Bucharest University of Economic Studies)

  • Adriana REVEIU

    (The Bucharest University of Economic Studies)

  • Marian DÂRDALĂ

    (The Bucharest University of Economic Studies)

  • Ion SMEUREANU

    (The Bucharest University of Economic Studies)

Abstract

Reducing electricity consumption, by decreasing residential light- ing, falls in the range of measures aimed to save 20% of primary energy consump- tion in European Union, up to 2020, and further to improve energy efficiency after 2020. Public lighting and appliances is about 14 % of total electricity consump- tion, in Romania. New energy efficient lighting technologies might contribute to a substantial decreasing of household electricity consumption. Data set used to ap- ply the scientific methodology presented in the paper was gathered in a survey re- search, aiming to investigate Romanians attitude and behavior about lighting con- sumption in households. The goals of this research paper are both to identify the factors associated with the replacement of old incandescent lamps, with the new energy efficient compact fluorescent lamps and light emitting diodes, and to identi- fy Romanian typologies of consumers and the patterns of their behavior. In order to accomplish the research goals, a model of analysis, based on Cluster Analysis and Multiple Correspondence Analysis methods has been proposed in the paper.

Suggested Citation

  • Titus Felix FURTUNĂ & Adriana REVEIU & Marian DÂRDALĂ & Ion SMEUREANU, 2016. "Identifying Consumers’Profiles Concerning Residential Lighting," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 23-38.
  • Handle: RePEc:cys:ecocyb:v:50:y:2016:i:1:p:23-38
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    References listed on IDEAS

    as
    1. Scott, S., 1997. "Household energy efficiency in Ireland: A replication study of ownership of energy saving items," Energy Economics, Elsevier, vol. 19(2), pages 187-208, May.
    2. Mills, Bradford & Schleich, Joachim, 2014. "Household transitions to energy efficient lighting," Energy Economics, Elsevier, vol. 46(C), pages 151-160.
    3. Corrado Di Maria & Susana Ferreira & Emiliya Lazarova, 2010. "Shedding Light On The Light Bulb Puzzle: The Role Of Attitudes And Perceptions In The Adoption Of Energy Efficient Light Bulbs," Scottish Journal of Political Economy, Scottish Economic Society, vol. 57(1), pages 48-67, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    correspondence analysis; classification; clusters; types of consumers; bulbs;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities

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