Water Tariff System Analysis, Economic Valuation and Water Demand Function of sustainable Municipal Consumption: a case study of Najafabad city of Isfahan

Document Type : Original Article

Authors

1 Assistant Professor, Faculty Member of Economics and Political Sciences, Shahid Beheshti University, Tehran, Iran

2 MS.c. in Economics, Faculty of Economics and Political Sciences, Shahid Beheshti University

Abstract

Nowadays, given that water is recognized as a socioeconomic commodity that plays a ‎vital role in human life, management of its proper use, and emphasis on economic ‎instruments, which is essential for balancing supply and demand. In this regard, the ‎limitation of the water supply has led policymakers to focus on economic demand management ‎tools such as pricing. Thus, the present study aimed to estimate the economic value, analyze ‎the demand function, and water elasticity for domestic consumption, which can be the basis ‎for an effective pricing policy in the water section. To this end, demand functions and ‎elasticity are estimated by consumption levels by using regression analysis. Then, the ‎maximum subscribers’ willingness to pay is estimated and compared with the current ‎tariffs, using the contingent valuation method. The data were collected by filling 385 ‎questionnaires for urban households at NajafAbad city in 2018. The results showed that ‎according to the increasing block tariff (IBT), the relationships between the levels, price ‎, and income elasticity were -0.27 and 0.32, respectively. Also, the weighted average ‎of water economic value for urban households of this city varies from IRR 5664 to IRR ‎‎9379 per cubic meter between the consumer groups and the willingness to pay is lower ‎in the high consumption group. Based on the findings, the economic value of water is ‎higher than the current tariff in all consumption groups. Therefore, it is recommended that ‎water tariffs be reviewed and increased incrementally over time due to its nonzero price ‎elasticities. ‎

Keywords


Baerenklau, K. A., Schwabe, K. A., & Dinar, A. (2013). Do Increasing Block Rate Water Budgets Reduce Residential Water Demand? A Case Study in Southern California. Water Science and Policy Center, University of California, (September), 1–22.
Ben Zaied, Y., Kertous, M., Ben Cheikh, N., & Ben Lahouel, B. (2020). Delayed payment of residential water invoice and sustainability of water demand management. Journal of Cleaner Production, 123517. https://doi.org/10.1016/j.jclepro.2020.123517
Burt, Z., Njee, R. M., Mbatia, Y., Msimbe, V., Brown, J., Clasen, T. F., … Ray, I. (2017). User preferences and willingness to pay for safe drinking water: Experimental evidence from rural Tanzania. Social Science and Medicine, 173, 63–71. https://doi.org/10.1016/j.socscimed.2016.11.031
Chang, I. S., Zhao, M., Chen, Y., Guo, X., Zhu, Y., Wu, J., & Yuan, T. (2020). Evaluation on the integrated water resources management in China’s major cities -- Based on City Blueprint® Approach. Journal of Cleaner Production, 262, 121410. https://doi.org/10.1016/j.jclepro.2020.121410
Chatterjee, C., Triplett, R., Johnson, C. K., & Ahmed, P. (2017). Willingness to pay for safe drinking water: A contingent valuation study in Jacksonville, FL. Journal of Environmental Management, 203, 413–421.
 https://doi.org/10.1016/j.jenvman.2017.08.008
Chen, H., & Yang, Z. F. (2009). Residential water demand model under block rate pricing: A case study of Beijing, China. Communications in Nonlinear Science and Numerical Simulation, 14(5), 2462–2468. https://doi.org/10.1016/j.cnsns.2007.12.013
Chen, X., Li, F., Li, X., Hu, Y., & Hu, P. (2020). Evaluating and mapping water supply and demand for sustainable urban ecosystem management in Shenzhen, China. Journal of Cleaner Production, 251, 119754. https://doi.org/10.1016/j.jclepro.2019.119754
Demetropoulou, L., Lilli, M. A., Petousi, I., Nikolaou, T., Fountoulakis, M., Kritsotakis, M., … Nikolaidis, N. P. (2019). Innovative methodology for the prioritization of the Program of Measures for integrated water resources management of the Region of Crete, Greece. Science of the Total Environment, 672, 61–70.
 https://doi.org/10.1016/j.scitotenv.2019.03.397
Entele, B. R., & Lee, J. (2020). Estimation of household willingness to pay for fluoride-free water connection in the Rift Valley Region of Ethiopia: A model study. Groundwater for Sustainable Development, 10, 100329. https://doi.org/10.1016/j.gsd.2019.100329
Fuente, D. (2019). The design and evaluation of water tariffs: A systematic review. Utilities Policy, 61, 100975. https://doi.org/10.1016/j.jup.2019.100975
Garcia, S., & Reynaud, A. (2004). Estimating the benefits of efficient water pricing in France. Resource and Energy Economics, 26(1), 1–25.
 https://doi.org/10.1016/j.reseneeco.2003.05.001
Hanemann, W. M. (1984). Valuation Contingent Experiments in Responses. American Journal of Agricultural Economics, 66(3), 332–341.
Hanemann, W. M. (2018). Valuing the environment through contingent valuation. The Stated Preference Approach to Environmental Valuation: Volume III: Applications: Benefit-Cost Analysis and Natural Resource Damage Assessment, 8(4), 497–521. https://doi.org/10.1257/jep.8.4.19
Hewitt, J. A., Hanemann, W. M., Economics, S. L., May, N., Hewitt, J. A., & Hanemann, W. M. (2016). Board of Regents of the University of Wisconsin System A Discrete / Continuous Choice Approach to Residential Water Demand under Block Rate Pricing Stable URL : http://www.jstor.org/stable/3146499 Your use of the JSTOR archive indicates your acceptance of, 71(2), 173–192.
Hosseini, S. M., Parizi, E., Ataie-Ashtiani, B., & Simmons, C. T. (2019). Assessment of sustainable groundwater resources management using integrated environmental index: Case studies across Iran. Science of the Total Environment, 676, 792–810. https://doi.org/10.1016/j.scitotenv.2019.04.257
Jessoe, K. (2013). Improved source, improved quality? Demand for drinking water quality in rural India. Journal of Environmental Economics and Management, 66(3), 460–475. https://doi.org/10.1016/j.jeem.2013.05.001
Jiang, Y., & Rohendi, A. (2018). Domestic water supply, residential water use behaviour, and household willingness to pay: The case of Banda Aceh, Indonesia after ten years since the 2004 Indian Ocean Tsunami. Environmental Science and Policy, 89, 10–22. https://doi.org/10.1016/j.envsci.2018.07.006
Khan, N. I., Brouwer, R., & Yang, H. (2014). Household’s willingness to pay for arsenic safe drinking water in Bangladesh. Journal of Environmental Management, 143, 151–161. https://doi.org/10.1016/j.jenvman.2014.04.018
Kidane, T. T., Wei, S., & Sibhatu, K. T. (2019). Smallholder farmers’ willingness to pay for irrigation water: Insights from Eritrea. Agricultural Water Management, 222, 30–37. https://doi.org/10.1016/j.agwat.2019.05.043
Lach, D., Ingram, H., & Rayner, S. (2005). Maintaining the status quo: How institutional norms and practices create conservative water organizations. Texas Law Review, 83(7), 2027–2053.
Lee, C. K. (1997). Valuation of nature-based tourism resources using dichotomous choice contingent valuation method. Tourism Management, 18(8), 587–591.
 https://doi.org/10.1016/S0261-5177(97)00076-9
Lehtonen, E., Kuuluvainen, J., Pouta, E., Rekola, M., & Li, C. Z. (2003). Non-market benefits of forest conservation in southern Finland. Environmental Science and Policy, 6(3), 195–204. https://doi.org/10.1016/S1462-9011(03)00035-2
Liu, Yang, & Mauter, M. S. (2020). Assessing the demand response capacity of U.S. drinking water treatment plants. Applied Energy, 267, 114899.
 https://doi.org/10.1016/j.apenergy.2020.114899
Liu, Ying, Yao, T., Bai, Y., & Liu, Y. (2016). The sustainability of drinking water supply in rural China: Does the provision of drinking water investment mismatch the demand of residents? Physics and Chemistry of the Earth, 96, 34–40.
 https://doi.org/10.1016/j.pce.2016.07.002
McDougall, C. W., Hanley, N., Quilliam, R. S., Needham, K., & Oliver, D. M. (2020). Valuing inland blue space: A contingent valuation study of two large freshwater lakes. Science of the Total Environment, 715, 136921.
 https://doi.org/10.1016/j.scitotenv.2020.136921
Molinos-Senante, M., Villegas, A., & Maziotis, A. (2019). Are water tariffs sufficient incentives to reduce water leakages? An empirical approach for Chile. Utilities Policy, 61, 100971. https://doi.org/10.1016/j.jup.2019.100971
Neto, S., & Camkin, J. (2020). What rights and whose responsibilities in water? Revisiting the purpose and reassessing the value of water services tariffs. Utilities Policy, 63, 101016. https://doi.org/10.1016/j.jup.2020.101016
Neverre, N., & Dumas, P. (2015). Projecting and valuing domestic water use at regional scale: A generic method applied to the Mediterranean at the 2060 horizon. Water Resources and Economics, 11, 33–46. https://doi.org/10.1016/j.wre.2015.06.001
Niva, V., Cai, J., Taka, M., Kummu, M., & Varis, O. (2020). China’s sustainable water-energy-food nexus by 2030: Impacts of urbanization on sectoral water demand. Journal of Cleaner Production, 251, 119755. https://doi.org/10.1016/j.jclepro.2019.119755
Olmstead, S. M., Hanemann, W. M., & Stavins, R. N. (2005). Do Consumers React to the Shape of Supply? Water Demand Under Heterogeneous Price Structures. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.738466
Pires, A., Morato, J., Peixoto, H., Botero, V., Zuluaga, L., & Figueroa, A. (2017). Sustainability Assessment of indicators for integrated water resources management. Science of the Total Environment, 578, 139–147.
 https://doi.org/10.1016/j.scitotenv.2016.10.217
Polyzou, E., Jones, N., Evangelinos, K. I., & Halvadakis, C. P. (2011). Willingness to pay for drinking water quality improvement and the influence of social capital. Journal of Socio-Economics, 40(1), 74–80. https://doi.org/10.1016/j.socec.2010.06.010
Ren, K., Huang, S., Huang, Q., Wang, H., Leng, G., Fang, W., & Li, P. (2020). Assessing the reliability, resilience and vulnerability of water supply system under multiple uncertain sources. Journal of Cleaner Production, 252, 119806.
 https://doi.org/10.1016/j.jclepro.2019.119806
Romano, G., Guerrini, A., & Senoner, T. (2020). Establishing a new water tariff method that complies with european principles and respects statutory autonomy: The case of South Tyrol. Utilities Policy, 64, 101050. https://doi.org/10.1016/j.jup.2020.101050
Ruijs, A., Zimmermann, A., & van den Berg, M. (2008). Demand and distributional effects of water pricing policies. Ecological Economics, 66(2–3), 506–516.
 https://doi.org/10.1016/j.ecolecon.2007.10.015
Salman, M., & Mualla, W. (2008). Water demand management in Syria: Centralized and decentralized views. Water Policy, 10(6), 549–562.
 https://doi.org/10.2166/wp.2008.065
Suárez-Varela, M., Martínez-Espiñeira, R., & González-Gómez, F. (2015). An analysis of the price escalation of non-linear water tariffs for domestic uses in Spain. Utilities Policy, 34, 82–93. https://doi.org/10.1016/j.jup.2015.01.005
Van Houtven, G. L., Pattanayak, S. K., Usmani, F., & Yang, J. C. (2017). What are Households Willing to Pay for Improved Water Access? Results from a Meta-Analysis. Ecological Economics, 136, 126–135. https://doi.org/10.1016/j.ecolecon.2017.01.023
Wang, H., Xie, J., & Li, H. (2010). Water pricing with household surveys: A study of acceptability and willingness to pay in Chongqing, China. China Economic Review, 21(1), 136–149. https://doi.org/10.1016/j.chieco.2009.12.001
Wang, K., Davies, E. G. R., & Liu, J. (2019). Integrated water resources management and modeling: A case study of Bow river basin, Canada. Journal of Cleaner Production, 240, 118242. https://doi.org/10.1016/j.jclepro.2019.118242
Wichman, C. J. (2014). Perceived price in residential water demand: Evidence from a natural experiment. Journal of Economic Behavior and Organization, 107(PA), 308–323. https://doi.org/10.1016/j.jebo.2014.02.017
Zeneli, F. (2016). Drinking Water Demand Determinants: Evidences from Vlora City. Procedia - Social and Behavioral Sciences, 235, 530–536.
 https://doi.org/10.1016/j.sbspro.2016.11.065
Volume 3, Issue 1
2022
Pages 153-182
  • Receive Date: 05 January 2022
  • Revise Date: 26 February 2022
  • Accept Date: 09 May 2022
  • First Publish Date: 09 May 2022
  • Publish Date: 01 June 2022