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Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia

Author

Listed:
  • Noriza Mohd Saad

    (Universiti Teknologi MARA Cawangan Kelantan)

  • Erna Farina Mohamed

    (Universiti Tenaga Nasional)

  • Mohamad Taufik Mohd Arshad

    (Tenaga Nasional Berhad)

  • Ahmad Lutfi Mohayiddin

    (Tenaga Nasional Berhad)

Abstract

Purpose This study investigates the impact of the current electricity tariff, represented by optimized tariff calculation, on Malaysian household’s consumption across different levels of income. Design/methodology/approach The input-output (IO) model has vastly been used in many energy economics literature that presented the matrix of production between various sectors in an economy. This study aggregated the 124 subsectors in IO Price Table 2015 into 12 groups of consumption of goods and services based on Household Expenditure Survey 2019 (HES 2019) to meet the study’ objectives. Findings This study found that in all simulations, high-income earners would be highly affected by the tariff changes. The lower the increment level in electricity tariff rate, the lower the magnitude would be on the changes of household expenditure level. Research limitations/implications Optimization in electricity tariff consumptions can pattern the Malaysian household’s consumption across different levels of income efficiently. Practical implications Useful to all consumer in the Malaysia economic business sector to predict their energy consumption up to optimum level. Social implications The study’s findings can benefit the society in optimiza their electricity consumption since everyone requires the energy for basic needs in their life.

Suggested Citation

  • Noriza Mohd Saad & Erna Farina Mohamed & Mohamad Taufik Mohd Arshad & Ahmad Lutfi Mohayiddin, 2023. "Electricity Tariff Changes and Consumer Sentiment on Household Consumption Expenditure in Malaysia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 175-191, March.
    • Handle: RePEc:spr:jqecon:v:21:y:2023:i:1:d:10.1007_s40953-022-00327-6
    DOI: 10.1007/s40953-022-00327-6
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    as
    1. Bohlmann, J.A. & Inglesi-Lotz, R., 2021. "Examining the determinants of electricity demand by South African households per income level," Energy Policy, Elsevier, vol. 148(PA).
    2. Tilov, Ivan & Farsi, Mehdi & Volland, Benjamin, 2020. "From frugal Jane to wasteful John: A quantile regression analysis of Swiss households’ electricity demand," Energy Policy, Elsevier, vol. 138(C).
    3. Kaza, Nikhil, 2010. "Understanding the spectrum of residential energy consumption: A quantile regression approach," Energy Policy, Elsevier, vol. 38(11), pages 6574-6585, November.
    4. Tuan, Nguyen Anh & Lefevre, Thierry, 1996. "Analysis of household energy demand in Vietnam," Energy Policy, Elsevier, vol. 24(12), pages 1089-1099, December.
    5. Valenzuela, Carlos & Valencia, Alelhie & White, Steve & Jordan, Jeffrey A. & Cano, Stephanie & Keating, Jerome & Nagorski, John & Potter, Lloyd B., 2014. "An analysis of monthly household energy consumption among single-family residences in Texas, 2010," Energy Policy, Elsevier, vol. 69(C), pages 263-272.
    6. Kasparian, Jérôme, 2009. "Contribution of crude oil price to households' budget: The weight of indirect energy use," Energy Policy, Elsevier, vol. 37(1), pages 111-114, January.
    7. He, Xiaoping & Reiner, David, 2016. "Electricity demand and basic needs: Empirical evidence from China's households," Energy Policy, Elsevier, vol. 90(C), pages 212-221.
    8. Räty, R. & Carlsson-Kanyama, A., 2010. "Energy consumption by gender in some European countries," Energy Policy, Elsevier, vol. 38(1), pages 646-649, January.
    9. Feng, Zhen-Hua & Zou, Le-Le & Wei, Yi-Ming, 2011. "The impact of household consumption on energy use and CO2 emissions in China," Energy, Elsevier, vol. 36(1), pages 656-670.
    10. Sundararaj, Vinu & Rejeesh, M R, 2021. "A detailed behavioral analysis on consumer and customer changing behavior with respect to social networking sites," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    11. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    12. Kavousian, Amir & Rajagopal, Ram & Fischer, Martin, 2013. "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, Elsevier, vol. 55(C), pages 184-194.
    13. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
    14. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    15. Romero-Jordán, Desiderio & del Río, Pablo & Peñasco, Cristina, 2016. "An analysis of the welfare and distributive implications of factors influencing household electricity consumption," Energy Policy, Elsevier, vol. 88(C), pages 361-370.
    16. Pachauri, Shonali, 2004. "An analysis of cross-sectional variations in total household energy requirements in India using micro survey data," Energy Policy, Elsevier, vol. 32(15), pages 1723-1735, October.
    17. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    18. Salehi, Hossain & Ziari, Esfandiar Doshman & Ziaei, Mohammad Sadegh, 2017. "The Effect of Raising Electricity Price on Welfare of the Household Sector in Rural Areas of Guilan Province, Iran," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 7(2), June.
    19. Miah, Md.Danesh & Foysal, Muhammad Abul & Koike, Masao & Kobayashi, Hajime, 2011. "Domestic energy-use pattern by the households: A comparison between rural and semi-urban areas of Noakhali in Bangladesh," Energy Policy, Elsevier, vol. 39(6), pages 3757-3765, June.
    20. Huang, Wen-Hsiu, 2015. "The determinants of household electricity consumption in Taiwan: Evidence from quantile regression," Energy, Elsevier, vol. 87(C), pages 120-133.
    21. Cayla, Jean-Michel & Maizi, Nadia & Marchand, Christophe, 2011. "The role of income in energy consumption behaviour: Evidence from French households data," Energy Policy, Elsevier, vol. 39(12), pages 7874-7883.
    22. Daioglou, Vassilis & van Ruijven, Bas J. & van Vuuren, Detlef P., 2012. "Model projections for household energy use in developing countries," Energy, Elsevier, vol. 37(1), pages 601-615.
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    More about this item

    Keywords

    Input-output (IO); Electricity tariff; Household consumption; Household expenditure; Scenario analysis;
    All these keywords.

    JEL classification:

    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities

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