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Willingness to Pay for Solid Waste Management Services: A Case Study of Islamabad

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  • Raheel Anjum

    (Pakistan Institute of Development Economics (PIDE) Islamabad.)

Abstract

Solid waste management remains a serious problem in most of the developing world, although it consumes a larger portion of municipal budgets. In the current project, a number of solid waste management studies were conducted for Islamabad city mostly focusing on the generation, collection and disposal of waste. Moreover, a contingent valuation survey approach was applied for the project. A stratified random sampling technique was applied for sample size selection of five hundred respondents. A double bounded dichotomous choice questions followed by an open ended question format was used to elicit willingness to pay and maximum willingness of the respondents. The logistic regression estimation reveals that 65.4 percent of the total respondents are willing to pay, while multiple regression reveals a monthly mean willingness to pay of Rs 289.15 which is greatly affected by age, household income, education and environmental awareness i.e. respondents with higher levels of education and income show higher willingness to pay. These collected data can specifically help in formulating the solid waste management services while in general can add up its role for the improvement of environmental quality.

Suggested Citation

  • Raheel Anjum, 2013. "Willingness to Pay for Solid Waste Management Services: A Case Study of Islamabad," CEECC Working Paper 2013:03, Pakistan Institute of Development Economics.
    • Handle: RePEc:pid:ceeccp:2013:03
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    File URL: https://file.pide.org.pk/pdf/Working%20Paper/CEECC%20Working%20Paper-3.pdf
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    References listed on IDEAS

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    1. Altaf, Mir Anjum & Deshazo, J. R., 1996. "Household demand for improved solid waste management: A case study of Gujranwala, Pakistan," World Development, Elsevier, vol. 24(5), pages 857-868, May.
    2. Mirajul Haq & Usman Mustafa & Iftikhar Ahmad, 2007. "Household s Willingness to Pay for Safe Drinking Water: A Case Study of Abbottabad District," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 46(4), pages 1137-1153.
    3. Pek, Chuen Khee & Othman, Jamal, 2010. "Household Demand for Solid Waste Disposal Options in Malaysia," MPRA Paper 23143, University Library of Munich, Germany.
    4. Mohammed Belhaj, 2003. "Estimating the benefits of clean air contingent valuation and hedonic price methods," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 3(1), pages 30-46.
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    Cited by:

    1. An Thinh Nguyen & Mai Tran & Thuy Nguyen & Quy Khuc, 2023. "Using Contingent Valuation Method to Explore the Households’ Participation and Willingness to Pay for Improved Plastic Waste Management in North Vietnam," Springer Books, in: An Thinh Nguyen & Thu Thuy Pham & Joon Song & Yen-Ling Lin & Manh Cuong Dong (ed.), Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 2, pages 219-237, Springer.
    2. Shaista Alam (Late) & Ambreen Fatima, 2022. "Analysing Household Willingness and Ability to Pay for Solid Waste: A Case Study of Karachi (Article)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 61(2), pages 169-184.
    3. Bijan Maskey, 2018. "Determinants of Household Waste Segregation in Gorkha Municipality, Nepal," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 11(1), pages 1-1, January.
    4. Alam, Majbaul & Bhattacharyya, Subhes, 2017. "Are the off-grid customers ready to pay for electricity from the decentralized renewable hybrid mini-grids? A study of willingness to pay in rural Bangladesh," Energy, Elsevier, vol. 139(C), pages 433-446.
    5. Marcilla Elmy Girl Girl Malasius & James Alin & Brian Dollery, 2020. "Willingness to Participate in Solid Waste Management amongst Residents of Sembulan Tengah Water Village in Sabah, Malaysia," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 10(1), pages 17-32, January.

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