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Estimation of Static and Dynamic Demand Function of Household Water in Qazvin Province and Review of the Rate of Change in Consumer Behavior Over Time | ||
| International Journal of Business and Development Studies | ||
| مقاله 6، دوره 11، شماره 1، مهر 2019، صفحه 111-126 اصل مقاله (415 K) | ||
| شناسه دیجیتال (DOI): 10.22111/ijbds.2019.4841 | ||
| نویسندگان | ||
| S Avazdahandeh؛ S Khalilian | ||
| چکیده | ||
| In this research, the demand function of drinkable water in Qazvin Province was estimated using dynamic and static methods. The required data were collected from the data of the provinces of Qazvin in the time period (1996-2016) and collected by referring to the statistical system of Statistics Center of Iran and the provincial planning and budget organization of Qazvin Province. The explanatory variables used in the model include household income, temperature (minimum and maximum), urban population, water price, rainfall, number of subscribers. The method used to estimate the static model, generalized least squares, and in the dynamic model, is a two-step generalized moment method. The results showed that the water price coefficient in the static and dynamic model is -0.217 and -0.19, respectively, which is a negative sign of the correctness of the demand law and less than one indicative of the low elasticity of water. The variable coefficient of household income in the static and dynamic model was 0.2 and 0.15, respectively, which positive and less than one, respectively, indicating the normality and necessity of water in the drinkable sector. In relation to the price of other goods, the coefficient was estimated in both negative models were -0.72 and -0.9, respectively, which indicates that water is a complementary product. Finally, the value of the variable coefficient was 0.5, which indicates that the demand for water is 0.5 times the demand for water last year. | ||
| کلیدواژهها | ||
| Dynamic Model؛ Static Model؛ Panel Data؛ Drinkable Water Demand Function | ||
| مراجع | ||
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1- Adippour, M., and Shirashani, R., (2014). Estimation of Golestan Water Demand Function, Economic Modeling, 8 (26): 91-106.
2- Ashrafzadeh, S. H. R., and Mehregan, N., (2013), Econometric Panel Data, Cooperative Research Institute of Tehran University, Third Edition.
3- Ashrafzadeh, S. H. R., and Mehregan, N., (2014), Econometrics of the Advanced Data Panel, Nooreelm Publication, First Edition.
4- Pejouyan, J., and Hosseini, S., (2003). Estimation of Household Water Demand Function (Case Study of Tehran), Iranian Economic Research, 5 (16): 47-67.
5- Khosh-Akhlagh, R., and Shahraky, C., (2008). Estimation of Household Water Demand Function in Zahedan City, Economic Research, 8 (4): 129-145.
6- Qazvin Regional Water Organization. Office of Applied Research. Statistical Yearbooks (1996-2016).
7- Sajjadifar, S., Kheyabani, N., (2011). Modeling of Household Water Demand Using a Randomized Model Method, Case Study: Arak, Water and Wastewater, (3): 59-68.
8- Abdoli, Gh., and Faraji Dizaji, S., (2009). Estimation of water demand function in Urmia, Journal of Science and Development, 16 (28): 158-175.
9- Mohammadi, M., and Akbari, H., (2000). Estimation of demand for drinkable water in Kerman, Iranian economic research, 3 (7): 67-78.
10- Statistics Center of Iran, Statistical Yearbook of Qazvin Province, (1996-2006).
11- Ahmad SH et al. (2016). Analysing Household Water Demand in Urban Areas: Empirical Evidence from Faisalabad, the Industrial City of Pakistan. International Growth Center.
12- Andre D and Carvalho J. (2014). Spatial Determinants of Urban Residential Water Demand in Fortaleza, Brazil. Water Resour Manage, 28, 2401–2414.
13- Arbués F, Ángeles M and Villanúa I (2010). Urban water demand for service and industrial use: The case of Zaragoza, Water resour manage, 24 (14):4033–4048.
14- Bithas K and Stoforos CH (2006). Estimating urban residential water demand determinants and forecasting water demand for Athens metropolitan area,2000- 2010, South-Eastern Europe Journal of Economics, 1: 47-59.
15- Cader et al. (2004). Predicting household water consumption under a block price structure. Selected Paper prepared for presentation at the Western Agricultural Economics Association Annual Meeting, Honolulu, Hawaii, June 30-July 2, 2004.
16- Cheesman J, Bennett J and Son T (2008). Estimating household water demand using revealed and contingent behaviors: Evidence from Vietnam, Water Resources Research, 44: 1-11.
17- Dharmaratna D, Harris E (2012) Estimating residential water demand using the stone-geary functional form: the case of Sri Lanka. Water Resour Manag 26(8):2283–2299.
18- Egger S. (2005). Determining a sustainable city model. Environmental Modelling & Software, 21, 1235-1246.
19- Greene, W. H. 2007. Econometric analysis. New york University. Sixth edition: 1-2.
20- Hendeson and koant (1980)
21- Hoglund L. (1999). Household demand for water in Sweden with implications of a potential tax on water use. Water Resources research, 35(12), 3853-3863.
22- Todaro S. (2006). Economic Development (Ninth Edition). Prentic Hall.
23- Usha A. (2002). Urban Environment -Sustainable Development. Working Paper Series, K 32. (http://papers.ssrn.com/sol3/papers.cfm?abstract_id=955789). | ||
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