The Effects of Tax and Subsidy Policies to Maintain and Sustain Water Resources in Kaboodarahang Plain
Subject Areas :
Water Resource Management
mehdi elahi
1
,
Mohammad Hassan Vakilpoor
2
,
hamed najafi alamdarloo
3
,
Mohammad Ali Asaadi
4
1 - M.Sc.Graduated, Department of Agricultural Economics, Faculty of Agriculture, Tarbeiat Modares University, Tehran, Iran.
2 - Department of Agricultural Economics, Faculty of Agriculture, Tarbeiat Modares University. Tehran, Iran. *(Corresponding Author)
3 - Associate Professor, Department of Agricultural Economics, Faculty of Agriculture, Tarbeiat Modares University, Tehran, Iran.
4 - Ph.D. Student, Department of Agricultural Economics, Faculty of Agriculture, Tarbeiat Modares University, Tehran, Iran.
Received: 2018-08-11
Accepted : 2019-05-22
Published : 2021-05-22
Keywords:
social index,
Cropping Pattern,
Maximum Entropy,
Positive mathematical programming,
Abstract :
Background and Objective: Over the past decades, climate changes and the limitation of surface water resources have caused excessive utilization of groundwater stocks, so that aquifers in most of the country's plains have no favorable situation now. Kaboodarahang plain is as one of the critical forbidden plains of the country which is facing water crisis. The status entails employing proper management of groundwater resources policies. The present study focuses on the economic, social, and environmental impacts of applying tax and subsidy policies per cubic meter of consumed or saved surplus water as an alternative to pricing approach.Method: This study was conducted and investigated via using Positive Mathematical Programming and Maximum Entropy Planning. Tax and subsidy policies were applied per cubic meter of surplus used or saved surplus water in three varying scenarios e.g. 329, 658 and 987 Rials. Needed data and information were obtained by referring to relevant organizations and 141 questionnaires completed via multi-stages cluster sampling method amid farmers of Kaboodarahng Plain during 2016-2017.Findings: The results showed no significant change in the area under cultivation by applying tax and subsidy policies per cubic meter of surplus water consumed or saved, while rather drives the cropping pattern towards certain crops e.g. barley, cucumber and watermelon. Also, the outcomes of the research proved that applying the foregoing policies, besides reducing water consumption would increase the gross profit of target farmers.Discussion and Conclusion: Applying tax and subsidy policies per cubic meter of used or saved surplus water could not only motivate farmers to reduce their water consumption but provide a good alternative to water pricing policy.
References:
Asaadi, M.A. (2017). Economic Analysis of Deficit Irrigation Strategies for Managing Agricultural Water Resources (Case Study: Qazvin Plain Irrigation Network), M.Sc. Dissertation, Tarbiat Modares University, Tehran. Iran. (In Persian)
Bakhsi, A., Daneshvar-Kakhki, M., Moghadasi, R. (2011) An Application of Positive Mathematical Programming Model to Analyze the Effects of Alternative Policies to Water Pricing in Mashhad Plain. Agricultural Economics & Development, 25(3): 284-294. (In Persian)
Baniasadi, M., Zare Mehrjerdi, M., Mirzaei KhalilAbad, H., Rezaee, A., Hasanvand, M. (2017). Study of Cropping Pattern Changes and groundwater Resources Extraction by Implementing Reduced Water Consumption Policies in Orzuiyeh Plain of Kerman Province, Agricultural Economic, 11(3): 111-129. (In Persian)
Berbel, J., Gomez-Limon, J. A. (2000). The impact of water-pricing policy in Spain: an analysis of there irrigated aress. Agricultural Water Management, 43, 219-238.
Bostani, F., Mohammadi, H., Moaldini, Z. (2014). Consequences to irrigation groundwater price and quotas policies in Fars province (positive mathematical programming approach corrected), 20(7): 65-78. (In Persian)
Cortignani, R., Severini, S. (2009). Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming. Agricultural Water Management, 96(12), 1785-1791.
Gallego-Ayala, J. (2012). Selecting irrigation water pricing alternatives using a multi-methodological approach. Mathematical and Computer Modelling, 55(3), 861-883.
Hamedan Regional Water Company. (2017).
He L, Tyner W E, Doukkali R and Siam G (2006) Policy options to improve water allocation efficiency: analysis on Egypt and Morocco. Water International, 31, 320–337.
Hezareh, R., Hassani, U., Shayanmehr, S. (2015). The impact assessment of different agricultural sector policies on its productivity indicators in Qazvin plain. Iranian Journal of Water Research IWRJ, 4(10). (In Persian)
Howitt, R. E., Medellín-Azuara, J., MacEwan, D., Lund, J. R. (2012). Calibrating disaggregate economic models of agricultural production and water management. Environmental Modelling & Software, 38, 244-258.
Howitt, R.E. (1995). Positive Mathematical Programming; American Journal of Agricultural Economics 77: 329-342.
Iran Water Resources Research Center. (2016). http://wrbs.wrm.ir/SC.php?type=static&id=104.
Medellín-Azuara, J., Howitt, R. E., Harou, J. (2012). Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology. Agricultural water management, 108, 73-82.
Ministry of Energy report. (2016). https://www.mehrnews.com/news/4294657/
Mirzaei, M. (2016). Assessing the impacts of water policy policies and determining the appropriate strategy for sustainable use of surface and underground resources in Qazvin plain. Doctoral dissertation, Payam Noor University of Tehran, Tehran, Iran). In Persian).
Molle, F., Venot, J.P., Hassan, Y. (2008). Irrigation in the Jordan Valley: Are water pricing policies overly optimistic?. Agricultural water management, 95(4), 427-438.
Parhizkari, A., Sabohi, M., Ahmadpoor, M., Badizarin, H. (2016). Assessment of the Effects of Deficit Irrigation and Decrease in Water Allocation on Agricultural Sector Production in Qazvin Province. Journal of Water Reserch in Agriculture, 6(2): 173-185. (In Persian)
Paris, Q., Arfini, F. (2000(. Funzioni di costo di frontiera, auto-selezione, rischio di prezzo, PMP e Agenda 2000. Rivista di economia agraria, 55(2): 211-242.
Paris, Q., Howitt, R.E. (1998). An analysis of ill-posed production problems using Maximum Entropy. American Journal of Agricultural Economics, 80(1): 124-138.
Spielman, D., Ekboir, J., Davis, K. (2009). The art and science of innovation systems inquiry: Applications to SubSaharan African agriculture. Technol. Soc. 31: 399-405.
Varziri, A., Vakilpoor, M.H., Mortazavi, S.A. (2016). The Effects of Economic Pricing of Irrigation Water on Cropping Pattern in the Dehgolan Plain, Journal of Economic Research ,Volume 8, Issue 31, Autumn 2016, Page 81-100. (In Persian)
Ward Kristen, B. (2003). Evaluating Producer Response to Water Policies in Agriculture: The Role of Input substitution, spatial hetrogeneity and input quality.Ph.D Dissertation, university of californiaDavice, USA.
Yazdani, S., Mahmoodi, A., Yavari, G.R., Shokat-Fadee, M., Nazari, M.R., Mirzaee, M. (2016). Analysis of the Economic Effects of Nonprice Policy Reduced Water Supply in Qazvin Plain. Quarterly Journal of Economic Growth and Development Research, 2(3): 89-98. (In Persian)
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Asaadi, M.A. (2017). Economic Analysis of Deficit Irrigation Strategies for Managing Agricultural Water Resources (Case Study: Qazvin Plain Irrigation Network), M.Sc. Dissertation, Tarbiat Modares University, Tehran. Iran. (In Persian)
Bakhsi, A., Daneshvar-Kakhki, M., Moghadasi, R. (2011) An Application of Positive Mathematical Programming Model to Analyze the Effects of Alternative Policies to Water Pricing in Mashhad Plain. Agricultural Economics & Development, 25(3): 284-294. (In Persian)
Baniasadi, M., Zare Mehrjerdi, M., Mirzaei KhalilAbad, H., Rezaee, A., Hasanvand, M. (2017). Study of Cropping Pattern Changes and groundwater Resources Extraction by Implementing Reduced Water Consumption Policies in Orzuiyeh Plain of Kerman Province, Agricultural Economic, 11(3): 111-129. (In Persian)
Berbel, J., Gomez-Limon, J. A. (2000). The impact of water-pricing policy in Spain: an analysis of there irrigated aress. Agricultural Water Management, 43, 219-238.
Bostani, F., Mohammadi, H., Moaldini, Z. (2014). Consequences to irrigation groundwater price and quotas policies in Fars province (positive mathematical programming approach corrected), 20(7): 65-78. (In Persian)
Cortignani, R., Severini, S. (2009). Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming. Agricultural Water Management, 96(12), 1785-1791.
Gallego-Ayala, J. (2012). Selecting irrigation water pricing alternatives using a multi-methodological approach. Mathematical and Computer Modelling, 55(3), 861-883.
Hamedan Regional Water Company. (2017).
He L, Tyner W E, Doukkali R and Siam G (2006) Policy options to improve water allocation efficiency: analysis on Egypt and Morocco. Water International, 31, 320–337.
Hezareh, R., Hassani, U., Shayanmehr, S. (2015). The impact assessment of different agricultural sector policies on its productivity indicators in Qazvin plain. Iranian Journal of Water Research IWRJ, 4(10). (In Persian)
Howitt, R. E., Medellín-Azuara, J., MacEwan, D., Lund, J. R. (2012). Calibrating disaggregate economic models of agricultural production and water management. Environmental Modelling & Software, 38, 244-258.
Howitt, R.E. (1995). Positive Mathematical Programming; American Journal of Agricultural Economics 77: 329-342.
Iran Water Resources Research Center. (2016). http://wrbs.wrm.ir/SC.php?type=static&id=104.
Medellín-Azuara, J., Howitt, R. E., Harou, J. (2012). Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology. Agricultural water management, 108, 73-82.
Ministry of Energy report. (2016). https://www.mehrnews.com/news/4294657/
Mirzaei, M. (2016). Assessing the impacts of water policy policies and determining the appropriate strategy for sustainable use of surface and underground resources in Qazvin plain. Doctoral dissertation, Payam Noor University of Tehran, Tehran, Iran). In Persian).
Molle, F., Venot, J.P., Hassan, Y. (2008). Irrigation in the Jordan Valley: Are water pricing policies overly optimistic?. Agricultural water management, 95(4), 427-438.
Parhizkari, A., Sabohi, M., Ahmadpoor, M., Badizarin, H. (2016). Assessment of the Effects of Deficit Irrigation and Decrease in Water Allocation on Agricultural Sector Production in Qazvin Province. Journal of Water Reserch in Agriculture, 6(2): 173-185. (In Persian)
Paris, Q., Arfini, F. (2000(. Funzioni di costo di frontiera, auto-selezione, rischio di prezzo, PMP e Agenda 2000. Rivista di economia agraria, 55(2): 211-242.
Paris, Q., Howitt, R.E. (1998). An analysis of ill-posed production problems using Maximum Entropy. American Journal of Agricultural Economics, 80(1): 124-138.
Spielman, D., Ekboir, J., Davis, K. (2009). The art and science of innovation systems inquiry: Applications to SubSaharan African agriculture. Technol. Soc. 31: 399-405.
Varziri, A., Vakilpoor, M.H., Mortazavi, S.A. (2016). The Effects of Economic Pricing of Irrigation Water on Cropping Pattern in the Dehgolan Plain, Journal of Economic Research ,Volume 8, Issue 31, Autumn 2016, Page 81-100. (In Persian)
Ward Kristen, B. (2003). Evaluating Producer Response to Water Policies in Agriculture: The Role of Input substitution, spatial hetrogeneity and input quality.Ph.D Dissertation, university of californiaDavice, USA.
Yazdani, S., Mahmoodi, A., Yavari, G.R., Shokat-Fadee, M., Nazari, M.R., Mirzaee, M. (2016). Analysis of the Economic Effects of Nonprice Policy Reduced Water Supply in Qazvin Plain. Quarterly Journal of Economic Growth and Development Research, 2(3): 89-98. (In Persian)