Water Poverty Index and Its Influential Factors in Iran
Subject Areas : Agricultural Economics Researchreza ranjpour 1 , Seyed Kamal Sadeghi 2 , mohamad ali motafakker azad 3 , Davud Behbudi 4 , Amin Taslimi Baboli 5
1 - Associate Professor of Economics, Faculty of Economics and Management, University of Tabriz.Iran
2 - Associate Professor of Economics, Faculty of Economics and Management, University of Tabriz.
3 - Professor of Economics, Faculty of Economics and Management, University of Tabriz.
4 - Professor of Economics, Faculty of Economics and Management, University of Tabriz.
5 - Ph.D. candidate in Economics, Faculty of Economics and Management, University of Tabriz.
Keywords: Population, Water poverty, Value added of agriculture sector, and human development index, Gross Domestic Production,
Abstract :
Introduction: Population growth, followed by rising water and food consumption, as well as disruptions such as the disparity of population distribution patterns with the distribution of time and place of water, have caused water-security access to Iran in crisis. Materials and Methods: This paper is the first to accurately calculate the Poverty Index for Iran over the period from 1989 to 2015. In this paper, a new model called the Water Multiplier Evaluation System with the Disaster Theory approach is used to calculate the water poverty index. For the first time using the censored regression econometric model, the effect of economic factors affecting the water poverty index during the period of 1989-2015 has been evaluated. Findings: The results of calculating the water poverty index indicate the upward trend of this indicator and its components. The results of estimating the coefficients of the sensed regression model indicate that population growth, GDP, human development index and added value of the agricultural sector have worsened the water poverty index in Iran Conclusion: In other words, the current and past trends of the human development index, GDP growth, population growth, increased agricultural production, insecurity and rising water poverty in Iran are inevitable.
1. OECD. Water: The environmental outlook to 2050. Organization for Economic Co-operation and Development (OECD) Pub. 2015; https://www.oecd.org/env/resources/49006778.pdf
2. Mohammad Jani E & Yazdanian N. Analysis of the water crisis situation in the country and its management requirements. Ravand. 2014; 21 (65): 117-144. (In Persian) https://www.sid.ir/paper/202249/fa
3. Mascarenhas M. Redefining water security through social reproduction: lessons learned from Rajasthan’s Ocean of Sand. IDS Bulletin. 2012; 43 (2): 51–58. https://opendocs.ids.ac.uk/opendocs/handle/20.500.12413/7476
4. Falkenmark M, Berntell A, Ja¨gerskog A, Lundqvist J, Matz M & Tropp H. On the verge of a new water scarcity: A call for good governance and human ingenuity. SIWI Policy Brief. Stockholm International Water Institute (SIWI) Pub. Stockholm. 2007. https://dlc.dlib.indiana.edu/dlc/handle/10535/5086 or: https://siwi.org/publications/on-the-verge-of-a-new-water-scarcity/
5. Wescoat JL, Headington L & Theobald R. Water and poverty in the United States. Geoforum. 2008; 38 (5): 801–814. https://www.researchgate.net/publication/248433932_Water_and_Poverty_in_the_United_States
6. Shakya B. Analysis and mapping water poverty of Indrawati Basin. World Wide Fund for Nature Nepal Report 70. 2012. https://wwf.panda.org/wwf_news/?205791/Water-Poverty-of-Indrawati-Basin---Analysis-and-Mapping
7. Manandhar S, Pandey VP & Kazama F. Application of water poverty index (WPI) in Nepalese context: a case study of Kali Gandaki River Basin (KGRB). Water Resources Management. 2012; 26 (1): 89-107. https://ideas.repec.org/a/spr/waterr/v26y2012i1p89-107.html
8. Van der Vyer C. Water poverty index calculation: additive or multiplicative function. Journal of South African Business Research. 2013; 2013: 1-11. https://www.researchgate.net/publication/277888785_Water_Poverty_Index_Calculation_Additive_or_Multiplicative_Function
9. Xiao-jun W, Jian-yun, Z, Shahid S, Xing-hui X, Rui-min H & Man-ting S. Catastrophe theory to assess water security and adaptation strategy in the context of environmental change. Mitigation and Adaptation Strategies for Global Change, 2014; 19 (4), 463-477. https://econpapers.repec.org/article/sprmasfgc/v_3a19_3ay_3a2014_3ai_3a4_3ap_3a463-477.htm
10. Rajabi Hashtjin M & Arab D. Water poverty index: An efficient tool to assess the state of the world's water resources. 2nedWater Resources Management Conference. Isfahan, Feb. 2008. (In Persian) https://www.sid.ir/paper/815730/fa
11. Zargar Pour R. & Nourzad A. Presenting a conceptual model and formulating an integrated water resources management model with an emphasis on the country's water security. Iran's Water Resources Research. 2009; (5) 3: 1-13. (In Persian) https://www.sid.ir/paper/463196/fa
12. -Jaberzadeh M. Estimation of water poverty index in the provinces of the country. Proceedings of the 7th National Conference and Specialized Exhibition of Environmental Engineering. Tehran. Dec. 2014. (In Persian)
https://civilica.com/doc/318899.
13. -Asiabi Hir R, Mostafazadeh R, Raoof M & Esmali Ouri A. Predicting drought using statistical methods and large-scale climate signals. Journal of Extension and Development of Watershed Management. 2015; 11 (3): 23-17. (In Persian) https://www.magiran.com/paper/1667989
14. Hemmati B, Foruzani M, Yazdanpanah M & Kosravipour B. Comparison application of the analytic network process (ANP) and analytic hierarchy process (AHP) in analysis of the agricultural water poverty index: The case of Dezful county. Iranian Agricultural Extension and Education Journal. 2015; 2 (2): 203-221. (In Persian) http://www.iaeej.ir/article_13961.html
15. Sullivan C, Meigh J & Lawrence P. Application of the water poverty index at different scales: A cautionary tale. Water International. 2006; 31 (3): 412–426. https://www.researchgate.net/publication/43996252_Application_of_the_Water_Poverty_Index_at_Different_Scales_A_Cautionary_Tale
16. Jemmali H & Sullivan C. A. Multidimensional analysis of water poverty in MENA region: An empirical comparison with physical indicators. Social Indicators Research. 2014; 115 (1): 253-277. https://www.jstor.org/stable/24720226
17. Gleick PH, Chalecki EL & Wong A. Measuring water well-being: water indicators and indices. In: Gleick, P. (Ed.): The World’s Water. Island Press Pub, Washington. 2002. https://www.researchgate.net/publication/284160099_On_methods_for_assessing_water-resource_risks_and_vulnerabilities
18. Rockström J, Falkenmark M, Karlberg L, Hoff H, Rost S & Gerten D. Future water availability for global food production: the potential of green water for increasing resilience to global change. Water Resources Research. 2009; 45 (7):125-232. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2007WR006767
19. Komnenic V, Ahlers R & Zaag P. Assessing the usefulness of the water poverty index by applying it to a special case: can one be water poor with high levels of access?. Physics and Chemistry of the Earth, Parts A/B/C. 2009; (34): 219-224. https://www.researchgate.net/publication/223325377_Assessing_the_usefulness_of_the_water_poverty_index_by_applying_it_to_a_special_case_Can_one_be_water_poor_with_high_levels_of_access
20. Wang W, Liu S, Zhang S & Chen J. Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory. Ecological Modelling. 2011; 222 (2): 307-312 . https://www.researchgate.net/publication/251562264_Assessment_of_a_model_of_pollution_disaster_in_near-shore_coastal_waters_based_on_catastrophe_theory
21. Sullivan, C. Calculating a water poverty index. World Development. 2002; 30 (7): 1195–1210. https://www.ircwash.org/sites/default/files/Sullivan-2002-Water_0.pdf
22. Cho, D. I., Ogwang, T., & Opio, C. (2010). Simplifying the water poverty index. Social indicators research, 97(2), 257-267. https://www.jstor.org/stable/40649368
