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رحمتی, داریوش, مرتضوی, سید ابوالقاسم, نجفی علمدارلو, حامد, وکیل پور, محمدحسن. (1401). ارزیابی ارزش غیربازاری انتقال آب سد کرخه به آبخوان دشت عباس استان ایلام با استفاده از روش آزمون انتخاب. سامانه مدیریت نشریات علمی, 30(2), 167-199. doi: 10.30490/aead.2022.355701.1375
داریوش رحمتی; سید ابوالقاسم مرتضوی; حامد نجفی علمدارلو; محمدحسن وکیل پور. "ارزیابی ارزش غیربازاری انتقال آب سد کرخه به آبخوان دشت عباس استان ایلام با استفاده از روش آزمون انتخاب". سامانه مدیریت نشریات علمی, 30, 2, 1401, 167-199. doi: 10.30490/aead.2022.355701.1375
رحمتی, داریوش, مرتضوی, سید ابوالقاسم, نجفی علمدارلو, حامد, وکیل پور, محمدحسن. (1401). 'ارزیابی ارزش غیربازاری انتقال آب سد کرخه به آبخوان دشت عباس استان ایلام با استفاده از روش آزمون انتخاب', سامانه مدیریت نشریات علمی, 30(2), pp. 167-199. doi: 10.30490/aead.2022.355701.1375
رحمتی, داریوش, مرتضوی, سید ابوالقاسم, نجفی علمدارلو, حامد, وکیل پور, محمدحسن. ارزیابی ارزش غیربازاری انتقال آب سد کرخه به آبخوان دشت عباس استان ایلام با استفاده از روش آزمون انتخاب. سامانه مدیریت نشریات علمی, 1401; 30(2): 167-199. doi: 10.30490/aead.2022.355701.1375

ارزیابی ارزش غیربازاری انتقال آب سد کرخه به آبخوان دشت عباس استان ایلام با استفاده از روش آزمون انتخاب

اقتصاد کشاورزی و توسعه
مقاله 7، دوره 30، شماره 2 - شماره پیاپی 118، شهریور 1401، صفحه 167-199    اصل مقاله (1019.21 K)
نوع مقاله: مقاله پژوهشی
شناسه دیجیتال (DOI): 10.30490/aead.2022.355701.1375
نویسندگان
داریوش رحمتی1؛ سید ابوالقاسم مرتضوی* 2؛ حامد نجفی علمدارلو3؛ محمدحسن وکیل پور4
1دانشجوی دکتری اقتصاد کشاورزی ، دانشگاه تربیت مدرس، تهران، ایران.
2نویسنده مسئول و دانشیار گروه اقتصاد کشاورزی، دانشگاه تربیت مدرس، تهران، ایران
3دانشیار گروه اقتصاد کشاورزی، دانشگاه تربیت مدرس، تهران، ایران
4عضو گروه اقتصاد کشاورزی، دانشگاه تربیت مدرس، تهران، ایران
چکیده
دشت عباس از مهم‏ترین مناطق کشاورزی استان ایلام است که در سال­های اخیر، دچار مشکلات زیست ‏محیطی شده است. اگر سیاست جدید مدیریت منابع آب سبب افزایش آلودگی منابع آب زیرزمینی و یا به‏ طور کلی، خسارت به محیط زیست شود، برای این خسارت در بازار هیچ قیمتی وجود ندارد. بنابراین، در پژوهش حاضر، ارزش غیربازاری آب ورودی از سد کرخه به آبخوان دشت عباس با استفاده از روش آزمون انتخاب مورد بررسی قرار گرفت؛ همچنین، با ارائه ویژگی ­های زیست‏محیطی و اقتصادی- اجتماعی در یک پرسشنامه و داده­ های جمع ­آوری‏ شده از 108 بهره ­بردار، ارزش غیراستفاده‏ای و استفاده­ای غیرمستقیم انتقال آب بدین آبخوان برآورد شد. نتایج مطالعه نشان داد که در این آبخوان، بیشترین مقدار پرداختی مربوط به شوری خاک و بیابان‏زایی با مبلغ حدود 258 هزار ریال به ازای هر هکتار در ماه و کاهش سطح نیزار با مبلغ 176 هزار ریال در رتبه دوم است؛ و میزان اشتغال با کمترین مقدار تمایل به پرداخت حدود 69 هزار ریال به ازای هر هکتار در ماه بوده و کل تمایل به پرداخت هر خانوار بهره ­بردار آبخوان حدود 630 هزار ریال به ازای هر هکتار در ماه است. مطابق نتایج پژوهش حاضر، برآورد ترجیحات بیان ‏شده توسط کشاورزان در مورد ویژگی­ های استخراج ‏شده می­تواند قبل از اعمال هر سیاست یا برنامه­ ای، به برنامه ­ریزان در مدیریت آبخوآن ها کمک کند. بنابراین، پیشنهاد می ‏شود که برنامه ­ریزان و متولیان بخش کشاورزی، با آگاه‏ سازی کشاورزان کم ‏تجربه در زمینه اهمیت محیط یست و ارتباط نزدیک آن با عملکرد محصولات شان، امکان مشارکت آنها در این گونه طرح ­ها را فراهم آورند.
کلیدواژه‌ها
انتقال آب؛ آزمون انتخاب؛ ارزش‌ غیربازاری؛ محیط زیست؛ دشت عباس؛ ایلام (استان)
عنوان مقاله [English]
Evaluation of Non-Market Value of Karkheh Dam Water Transfer to Dasht-e Abbas Plain Aquifer of Ilam Province in Iran Using Choice xperiment (CE) Method
نویسندگان [English]
D. Rahmati1؛ S.A. Mortazavi2؛ H. Najafi Alamdarloo3؛ M. Vakilpoor4
1Ph.D. Student in Agricultural Economics, Tarbiat Modares University, Tehran, Iran.
2Corresponding Author and Associate Professor of Department of Agricultural Economics, Tarbiat Modares University, Tehran, Iran
3Associate Professor of Department of Agricultural Economics, Tarbiat Modares University, Tehran, Iran.
4Member of Department of Agricultural Economics, Tarbiat Modares University, Tehran, Iran
چکیده [English]
Dasht-e Abbas plain is one of the most important agricultural areas of Ilam province of Iran, which has suffered environmental problems in recent years. If the new water resource management policy causes an increase in the pollution of underground water resources or in general, damage to the environment, there is no price for this damage in the market. Therefore, this study aimed at investigating the non-market value of water entering from the Karkheh dam to the Dasht-e Abbas plain aquifer using the Choice Experiment (CE) method; Also, by presenting environmental and socio-economic characteristics in a questionnaire and data collected from 108 operators, the value of non-use and indirect use of water transfer to this aquifer was estimated. The study results showed that in this aquifer, the highest amount paid was related to soil salinity and desertification with the amount of about 258 thousand IRI rials per hectare per month and the reduction of the reed area with the amount of 176 thousand IRI rials placed in the second rank; and the amount of employment with the lowest amount of willingness to pay was about 69 thousand IRI rials per hectare per month and the total willingness to pay of each reservoir operating household was about 630 thousand IRI rials per hectare per month. According to the study results, estimating the preferences expressed by farmers regarding the extracted characteristics can help planners in managing aquifers before applying any policy or program. Therefore, it is suggested that the authorities and planners of the agricultural sector pave the ground for participation of less experienced farmers in such projects by making them aware of the importance of the environment and its close relationship with their product yields,.
کلیدواژه‌ها [English]
: Water Transfer, Experiment Choice (EC), Non-Market Value, Environment, Dasht-e Abbas (Plain), Ilam (Province)
مراجع
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  6. Birol, E., Koundouri, Ph. and Kountouris, Y. (2010). Assessing the economic viability of alternative water resources in water-scarce regions: combining economic valuation, cost-benefit analysis and discounting. Ecological Economics, 69: 839-847.
  7. Boxall, P.C. and Adamowicz, W.L. (2002). Understanding heterogeneous preferences in random utility models: a latent class approach. Environmental and Resource Economics, 23: 421-446.
  8. Doherty, E., Mellet, S., Norton, D., McDermott, T.K.J., Hora, D.O. and Ryan, M. (2021). A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management, 290: 12607.
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  33. Travisi, C.M. and Nijkamp, P. (2008). Valuing environmental and health risk in agriculture: a choice experiment approach to pesticides in Italy. Ecol Econ, 67(4):598-607.
  34. Wreford, A. and Topp, CFE. (2020). Impacts of climate change on livestock and possible adaptations: a case study of the United Kingdom. Agricultural Systems, 178: 102737. Available at https://doi.org/10.1016/j.agsy.2019.102737.
  35. Zaker Esfahani, A.R. (2012). Combating with desertification process by an emphasis on capabilities of desert areas (case study: Isfahan province). Journal of Environmental Studies, 38(3): 155-164. DOI: 10.22059/jes.2012.29157. (Persian)
  36. Adamowicz, W., Boxall, P., Williams, M. and Louviere, J. (1998). Stated preference approaches for measuring passive use values, choice experiments and contingent valuation. American Journal of Agricultural Economics, 80: 64-75.
  37. Aleskerov, F., Bouyssou, D. and Monjardet, B. (2007). Utility maximization, choice and preference. Springer Science & Business Media.
  38. Bateman, I.J., Carson, R.T., Day, B., Hanemann, W.M., Hanley, N., Hett, T., Jones-Lee, M., Loomes, G., Mourato, S., Özdemiroglu, E. and Pearce, D.W. (2002). Economic valuation with stated preference techniques: a manual. Cheltenham: Elgar Publishing.
  39. Bergmann, A., Hanley, N. and Wright, R. (2006). Valuing the attributes of renewable energy investments. Energy Policy, 34: 1004-1014.
  40. Birol, E and Das, S. (2010). Estimating the value of improved wastewater treatment: the case of River Ganga, India. Journal of Environmental Management, 91: 2163-2171.
  41. Birol, E., Koundouri, Ph. and Kountouris, Y. (2010). Assessing the economic viability of alternative water resources in water-scarce regions: combining economic valuation, cost-benefit analysis and discounting. Ecological Economics, 69: 839-847.
  42. Boxall, P.C. and Adamowicz, W.L. (2002). Understanding heterogeneous preferences in random utility models: a latent class approach. Environmental and Resource Economics, 23: 421-446.
  43. Doherty, E., Mellet, S., Norton, D., McDermott, T.K.J., Hora, D.O. and Ryan, M. (2021). A discrete choice experiment exploring farmer preferences for insurance against extreme weather events. Journal of Environmental Management, 290: 12607.
  44. EEA (2019). Agriculture and climate change. European Environmental Agency (EEA). Available at https://www.eea.europa.eu/signals/signals-2015/articles/agriculture-and-climate.
  45. Fazlolahi, H., Ebrahimi, K. and Fatahi Nafchi, R. (2019). Effect of inter basin water transfer on the economic value of agricultural water resources (case study: Arak Plain). Iranian Journal of Irrigation and Drainage, 13(5): 1363-1373. (Persian)
  46. Firooz Zare, A. (2018). Spatial investigation of farmers’ collective and individual actions for acceptance of agrienvironmental schemes of water-related ecosystem services improvement. PhD Thesis, Ferdowsi University of Mashhad, Faculty of Agriculture. (Persian)
  47. Hanley, N., Mourato, S. and Wright, R.E. (2001). Choice modelling approaches: a superior alternative for environmental valuatioin? Journal of Economic Surveys, 15(3): 435-462.
  48. Hausman, J.A. and McFadden, D. (1984). Specification tests for the multinomial logit model. Econometrica, 52: 1219-1240.
  49. Hensher, D.A., Greene, W.H. and Ho, C.Q. (2016). Random regret minimization and random utility maximization in the presence of preference heterogeneity: an empirical contrast. Journal of Transportation Engineering, 142(4).
  50. Hensher, D.A., Rose, J.M., Rose, J.M. and Greene, W.H. (2005). Applied choice analysis: a primer. Cambridge University Press.
  51. Holmes, T.P., Adamowicz, W.L. and Carlsson, F. (2017). Choice experiments (Chapter 5). In: A primer on nonmarket valuation. Springer, pp. 133-186. DOI: 10.1007/978-94-007-7104-8_5.
  52. Hosseini, A.R., Poormohammad, P. and Yarmohamadi, E. (2018). Investigation of groundwater quality in the area of irrigation and drainage networks for agricultural and drinking purposes (case study: Dasht-e Abbas). Iranian Journal of Watershed Management Science and Engineering, 12(40): 51-58. (Persian)
  53. Hsu, A. (2020). Global metrics for the environment. Available at epi.yale.edu.
  54. IPCC (2012). Managing the risks of extreme events and disasters to advance climate change adaptation. In: C.B. Barros, V. Stocker, T.F. Qin, D. Dokken, D.J. Ebi, K.L. Mastrandrea, M.D. Mach, K.J. Plattner, G.-K. Allen, S.K. Tignor, M. and P.M. Midgley (Eds), A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC). Cambridge, UK and New York, NY, USA: Cambridge University Press, 582 pp.
  55. IRWC (2020). Water salinity index or electrical conductivity (EC) and total dissolved solids (TDS) of agricultural lands and underground water resources in Dasht-e Abbas aquifer. Ilam: Ilam Regional Water Company (IRWC). (Persian)
  56. Karimi, H. and Alimoradi, S. (2017). Effects of water transfer from Karkheh dam on groundwater uplift of Dasht-e Abbas of Ilam. Earth Knowledge Research, 8(32): 33-44. (Persian)
  57. Kusuoka, S. and Maruyama, T. (2006). Advances in mathematical economics. Springer.
  58. Lancaster, K.J. (1966). A new approach to consumer theory. Journal of Political Economy, 74(2): 132-157.
  59. Louviere, J.J., Hensher, D.A. and Swait, J.D. (2000). Stated choice methods: analysis and applications. Cambridge University Press.
  60. McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In: Analysis of qualitative choice behavior (Chapter 4). New York: Frontiers in Econometrics, Academic Press, pp. 105-142.
  61. Molaei, M. and Aghaei, Sh. (2018). Estimating willingness to pay to avoid changes in agricultural land use: choice experiment methods. Agricultural Economics and Development, 26(2): 51-73. DOI: 10.30490/aead.2018.73547. (Persian)
  62. Mombeni, M., A. Karmshahi., F. Azadnia., P. Garaee and K. Karimi (2016). Assessment of desertification intensity using IMDPA method (case study: Dasht-e Abbas, Ilam). Journal of RS and GIS for Natural Resources (Journal of Applied RS and GIS Techniques in Natural Resource Science), 7(3): 100-112. (Persian)
  63. Narrei, S. and Ataee-pour, M. (2020). Estimations of utility function and values of sustainable mining via the choice experiment method. Journal of Cleaner Production, 267: 121938.
  64. Pishbahar, E., Mahmoudi, H. and Hayati, B. (2020). Evaluating the preferences of organic tea consumers in tehran based on the hypothetical bias in the choice experiment. Agricultural Economics and Development, 28(1): 93-120. DOI: 10.30490/aead.2020.121577. (Persian)
  65. Sharzehei, Gh. and Javidi Abdollahzadeh Aval, N. (2011). Internalization of externalities in the production of electricity, a choice experiment method. Journal of Energy Economics Review, 8(29):1-29. (Persain)
  66. Soltani, M. (2017). Modeling and optimization of surface and groundwater integration with system dynamics method (case study: Dasht-e-Abbas irrigation network). Master Thesis, Faculty of Agriculture, Ilam University. (Persain)
  67. Tempesta, T. and D. Vecchiato (2013). Riverscape and groundwater preservation: a choice experiment. Environmental Management, 52(6): 1487-1502.
  68. Travisi, C.M. and Nijkamp, P. (2008). Valuing environmental and health risk in agriculture: a choice experiment approach to pesticides in Italy. Ecol Econ, 67(4):598-607.
  69. Wreford, A. and Topp, CFE. (2020). Impacts of climate change on livestock and possible adaptations: a case study of the United Kingdom. Agricultural Systems, 178: 102737. Available at https://doi.org/10.1016/j.agsy.2019.102737.
  70. Zaker Esfahani, A.R. (2012). Combating with desertification process by an emphasis on capabilities of desert areas (case study: Isfahan province). Journal of Environmental Studies, 38(3): 155-164. DOI: 10.22059/jes.2012.29157. (Persian)
آمار
تعداد مشاهده مقاله: 269
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سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب