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Economic Valuation of Green Electricity Sources in Pakistan

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  • Iqbal Muhammad-Jawad
  • Abdul Samad Abdul-Rahim

Abstract

Green electricity, which comes from renewable sources such as wind, hydro and solar, are well appreciated for their being environment friendly. The advantage of these sources are apparent in part of already natural environment. Moreover, this modern form of electricity also contributes in the poverty alleviation in developing countries, which is one of the sustainable development goals (SDG). The objective of this study is to explore electricity consumers' willingness to pay for the sustainable energy by employing the contingent valuation method (CVM). The respondents were divided into two broad categories of urban and rural consumers. A total of 400 respondents from urban and 405 respondents from rural areas were selected for this study. The CVM calculated the overall price of green electricity for the improvement of environment through increasing the share of electricity from renewable energy sources. The widely used WTP measure double-bounded dichotomous was utilised to elicit the appropriate value of green electricity from the bid price. The results from the logit regressions showed that the respondents with high income and a higher level of education are willing to pay more for green electricity in both urban and rural models. However, results also revealed that the willingness to pay for green electricity is high in younger people than older people. The mean willingness to pay has found 0.33 cents per kWh in the urban model, while is 0.24 in the rural model. The results provided a guideline to the government to charge an appropriate surcharge from the consumers in order to enhance the share of green electricity in energy mix.

Suggested Citation

  • Iqbal Muhammad-Jawad & Abdul Samad Abdul-Rahim, 2020. "Economic Valuation of Green Electricity Sources in Pakistan," Business and Economic Research, Macrothink Institute, vol. 10(3), pages 47-64, September.
  • Handle: RePEc:mth:ber888:v:10:y:2020:i:3:p:47-64
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    References listed on IDEAS

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    1. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    2. Wiser, Ryan H., 2007. "Using contingent valuation to explore willingness to pay for renewable energy: A comparison of collective and voluntary payment vehicles," Ecological Economics, Elsevier, vol. 62(3-4), pages 419-432, May.
    3. Alves, Laura Araujo & Uturbey, Wadaed, 2010. "Environmental degradation costs in electricity generation: The case of the Brazilian electrical matrix," Energy Policy, Elsevier, vol. 38(10), pages 6204-6214, October.
    4. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    5. Batley, S. L. & Colbourne, D. & Fleming, P. D. & Urwin, P., 2001. "Citizen versus consumer: challenges in the UK green power market," Energy Policy, Elsevier, vol. 29(6), pages 479-487, May.
    6. Yang, Yingkui & Solgaard, Hans Stubbe & Haider, Wolfgang, 2016. "Wind, hydro or mixed renewable energy source: Preference for electricity products when the share of renewable energy increases," Energy Policy, Elsevier, vol. 97(C), pages 521-531.
    7. Zorić, Jelena & Hrovatin, Nevenka, 2012. "Household willingness to pay for green electricity in Slovenia," Energy Policy, Elsevier, vol. 47(C), pages 180-187.
    8. Alam, Shaista & Fatima, Ambreen & Butt, Muhammad S., 2007. "Sustainable development in Pakistan in the context of energy consumption demand and environmental degradation," Journal of Asian Economics, Elsevier, vol. 18(5), pages 825-837, October.
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    More about this item

    Keywords

    Sustainable energy; Green electricity; Renewable energy sources; Economic valuation; Contingent valuation method; Willingness to pay; Pakistan;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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