Estimation of Income and Price Elasticity of Kermanshah Drinking Water Demand

Document Type : Case Study

Authors

• H. Rezaee ¹
• Sh. Shojaa ²

¹ Payame Noor University of Damghan, Iran

² Shahrood University of Technology, Iran

10.22067/jwsd.v7i3.85713

Abstract

One of the most important inputs in all economic sectors of Iran is water. The solution to the shortage of water resources in Iran is not more water supply, but an effective solution to adopt policies and measures that change the economic structure and pattern of water consumption. In this study, the income elasticity and price elasticity of Kermanshah urban water demand and the estimation of daily consumption of each person during the period 1392-1397 have been estimated. For this purpose, at first, the general form of water demand function was calculated by maximizing an Aston Gray utility function and was estimated using the VAR model, based on the Johansen method of Kermanshah urban water demand function. According to the results, urban water demand is inversely related to water prices and directly related to income. Price elasticity indicates a negative relationship between price changes and water demand. If the price of water increases by 10%, the demand for it will decrease by 4.3%. On the other hand, the absolute value of price elasticity and revenue elasticity of water is less than one. Also in this research, ARDL model has been used to investigate the long-term, short-term relationship, error correction test and tensile tests as a complementary and comparative method with VAR model of ARDL model. In both models, the price elasticity is less than one, ie with a 10% increase in price, consumption decreases by less than 10%. The non-zero price elasticity of water indicates that increasing tariffs can be used as a way to reduce water consumption, at least in the short term. The results showed that according to the criterion of the usefulness function of acetone, the minimum water consumption for each subscriber in Kermanshah is about 8.21 cubic meters (8210 liters) per month. According to the model, this amount is about 273 liters per day.
That's about 273 liters a day, according to model estimates.

Keywords

• Water Demand
• Price Elasticity
• VAR

Main Subjects

• Water Management and Economy

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References

ادیب‌پور، م. و شیرآشیانی، ر. 1393. برآورد تابع تقاضای آب خانگی استان گلستان. فصلنامه مدلسازی اقتصادی، 8(26): 91-106
اسمعیل‌نیا بالاگتابی، ف.، سرلک، ا. و غفاری، ه. 1397. بررسی و تحلیل تقاضای آب شرب با استفاده از تابع مطلوبیت استون‏گری: مطالعه موردی منطقه ورامین. مجله علمی پژوهشی تحقیقات اقتصاد کشاورزی، 10(39):131-150
پژویان، ج. و حسینی، ش. 1382. برآورد تابع تقاضای آب خانگی (مطالعه موردی شهر تهران). فصلنامه پژوهش‌‏های اقتصادی ایران، 5(16): 47-67
تهامی‌پور، م. 1395. نقش آب در فرآیند تولید صنعتی سایت انجمن صنایع نساجی ایران. http://aiti.org.ir/fa/news
جبل عاملی، ف. و گودرزی فراهانی، ی. 1392. تأثیر هدفمندی یارانه بر میزان تقاضای آب مصرفی شهری در قم. مجله مدل‏سازی اقتصادی، 7(2): 101-119
خوش‌اخلاق، ر. و شهرکی، ج. 1386. برآورد تابع تقاضای آب خانگی در شهر زاهدان. رساله دکتری، دانشکده علوم اداری و اقتصادی دانشگاه اصفهان.
سجادی‌فر، س.ح. و خیابانی، ن. 1390. مدل‌سازی تقاضای آب خانگی با استفاده از روش مدل عوامل تصادفی. مطالعه موردی: شهر اراک. مجله آب و فاضلاب، 22(3): 59-68.
شجاع، ش.، رضائی، ح. و آرمانمهر، م. 1399. طراحی الگوی پویای اقتصادی حوزه آبی کرمانشاه. فصلنامه راهبرد اقتصادی، 24(7): 121-150.
شهرکی، ج. و خسروی بابادی، م.1393. برآورد تابع تقاضای آب خانگی شهر شهرکرد. اولین کنفرانس ملی جایگاه مدیریت و حسابداری در دنیای نوین کسب و کار، اقتصاد و فرهنگ، علی آباد، ایران.
عبدلی، ق.، دیزجی‌فر، س. 1388. برآورد تابع تقاضای آب شهرستان ارومیه. مجله دانش و توسعه (علمی–پژوهشی)، 28(16): 158-175.
محمدی، ح. و محمدرضازاده، ن. ۱۳۹۰. ابزارهای اقتصادی مدیریت منابع آب زیرزمینی در جهان و ایران. دومین کنفرانس ملی پژوهش‌‏های کاربردی منابع آب ایران، شرکت آب منطقه‌ای زنجان، زنجان، ایران.

https://www.civilica.com/Paper-INCWR02-INCWR02_136.html
مدیریت آب و فاضلاب استان کرمانشاه، خبرگذاری ایلنا. 1395
https://www.ilna.news (visited 3 november 2019)
Dagnew D. 2012. Factors determining residential water demand in north Western Ethiopia, The case of Merawi, A project paper presented to the faculty of the graduateschool of Cornell University in partial fulfillment of the requirements for the Degree of Master of professional Studies.
Dharmaratna D. and Haris E. 2010. Estimating Residential water Demand using the Stone-Geary functional from: The case of Srilanka, university, working paper,46-10.
Estelle Binet M., Carlevaro F. and Paul M. 2014. Estimation of Residential Water Demand with Imperfect Price Perception. Environmental and Resource Economics, Springer, 59(4): 561- 581.
Krasachat W. 2010. Residential Water Demand and Conservation Measures for Water Supply in Bangkok. Department of Agribusiness Administration, Faculty of Agricultural Technology, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Rd., 308-326.
Manouseli D., Anderson B. and Nagarajan M., 2017. Domestic Water Demand During Droughts in Temperate Climates: Synthesising Evidence for an Integrated Framework. Water Resour Manage (2018) 32: 433–447.
Nauges C., and Whittington D. 2010. Estimation of water Demand in developing countries: An overview, World Bank research Observer. World Bank group, 25(2): 263-294.
Nauges C. and Thomas A. 2003. Long-run Study of Residential Water Consumption. Environmental and Resource Economics, 26(1): 25-43.
Parker J. M. and wilby R. L. 2013. Quantifying household water demand: A review of theory and practice in the UK, water recourse manage, 27(4): 981-1011.
Reynaud A., Pons M.and Pesado C. Household Water Demand in Andorra: Impact of IndividualMetering and Seasonality. Water 2018, 10, 321.
Sims, C.A. 1980 Macroeconomics and Reality, Econometric,.48.