ارزیابی کارایی شرکت‌های آب و فاضلاب تحت شرایط عدم‌قطعیت با استفاده از رویکرد تحلیل پوششی داده‌های فازی بازه‌ای (مطالعه موردی استان مرکزی)

نوع مقاله : مطالعه موردی

نویسندگان

1 استادیار، گروه اقتصاد، دانشگاه آزاد اسلامی واحد شهریار، شهریار، ایران

2 دانش‌آموخته، دکترای اقتصاد کشاورزی، گروه اقتصاد، دانشگاه آزاد اسلامی واحد شهریار، شهریار، ایران

چکیده

شرکت‌های آب و فاضلاب به‌عنوان ارائه‌دهندگان خدمات آب شرب نقش حیاتی در جامعه ایفا می‌کنند. بنابراین اندازه‌گیری کارایی این شرکت‌ها معیاری است که می‌تواند به تخصیص بهینه توزیع آب میان مشترکین کمک شایانی کند. ازاین‌رو این پژوهش با هدف ارزیابی کارایی شرکت‌های آب و فاضلاب استان مرکزی انجام شد. برای این منظور از روش تحلیل پوششی داده‌های فازی بازه‌ای استفاده شد. فرض اساسی این روش برخلاف روش سنتی تحلیل پوششی داده‌ها عدم‌قطعیت در ارتباط با نهاده‌ها و ستانده‌ها است. توجه به اینکه عدم‌قطعیت‌ها در دنیای واقعی امری اجتناب‌ناپذیرند بنابراین ضرورت استفاده از الگوهایی که توانایی کنترل این عدم‌قطعیت را دارند، به‌شدت احساس می‌شود. از‌این‌رو یک روش موفق، بهره‌گیری از روش تحلیل پوششی داده‌های فازی است. نتایج ارزیابی مربوط به 17 شرکت آب و فاضلاب در استان مرکزی نشان داد که شرکت‌های آب و فاضلاب "اراک"، "خمین"، "دلیجان"، "ساوه"، "کمیجان"، "مامونیه"، "محلات" و "نراق" با کسب بازه کارایی (1، 83/0) بیشترین میزان کارایی فنی را دارند که می‌توان گفت به‌طور کلی شرکت‌های آب و فاضلاب استان مرکزی کارایی مناسبی داشتند. علاوه بر این در بین واحدهای تحت بررسی شرکت آب و فاضلاب "غرق‌آباد" با کسب بازه کارایی (56/0، 46/0) کمترین میزان کارایی فنی را داشت. همچنین بر یافته‌های پژوهش در استفاده از کلیه نهاده‌ها مازاد مصرف وجود دارد. بنابراین پیشنهاد شد با کاربرد درست و بهینه نهاده‌های تولید و استفاده کمتر از منابع می‌توان مقدار کارایی را تا رسیدن به مرز کارایی ارتقا داد.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluating the Efficiency of Water and Wastewater Companies under Uncertainty by Using Interval Fuzzy Data Envelopment Approach (Case Study: Markazi Province)

نویسندگان [English]

  • Bahram Fathi 1
  • Nasrin Ohadi 2
1 Assist. Prof., Dept. of Economics, Shahryar Branch, Islamic Azad University, Shahryar, Iran
2 PhD in Agricultural Economics, Dept. of Economics, Shahryar Branch, Islamic Azad University, Shahryar, Iran
چکیده [English]

Water and wastewater companies play a vital role in society as providers of drinking water services. Therefore, measuring the efficiency of these companies is an action that can help in the optimal allocation of water distribution among customers. Therefore, the present study was conducted to evaluate the efficiency of water and sewage companies in Markazi province. For this purpose, the interval fuzzy data envelopment analysis method was used. The basic premise of this method, unlike the traditional method of data envelopment analysis, is uncertainty about inputs and outputs. Given that uncertainties in the real world are inevitable, the need to use models that have the ability to control this uncertainty is strongly felt. Hence, a successful method is to use fuzzy data envelopment analysis method. The results of evaluation related to seventeen water and wastewater companies in Markazi province showed that Arak, Khomein, Delijan, Saveh, Komeijan, Mamooniyeh, Mahallat and Naragh by obtaining the efficiency range (0.83, 1),  have the highest level of technical efficiency. In addition, among the units under study, Ghargabad Water and Wastewater Company has the lowest level of technical efficiency with an efficiency range of (0.56, 0.46). There is also an excess of consumption over the research findings in the use of all inputs. Therefore, it was suggested that with the correct and optimal use of production inputs and less use of resources, the amount of efficiency can be improved to reach the efficiency frontier.

کلیدواژه‌ها [English]

  • Markazi Province
  • Interval Fuzzy Data Envelopment Analysis
  • Imprecise Data
  • Water and Wastewater Companies

مراجع

Ananda, J. 2014. Evaluating the performance of urban water utilities: robust nonparametric approach. Journal of Water Resources Planning and Management, 140(9), 04014021.
Ananda, J. 2019. Explaining the environmental efficiency of drinking water and wastewater utilities. Sustainable Production and Consumption, 17, 188-195.
Azadi, M., Jafarian, M., Farzipoor Saen, R. & Mirhedavatian, S. 2014. A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers and Operations Research, 54, 274-285.
Castellet, L. & Molinos, M. 2016. Efficiency assessment of wastewater treatment plants: a data envelopment analysis approach integrating technical, economic, and environmental issues. Journal of Environmental Management, 167, 160-166.
Charnnes, A., Cooper, W. & Rhodes, E. 1978. Measuring the efficiency of decision making units. European Journal of Operation Research, 2(6), 429-444.
Dabbagh, R. & Ahmadi, S. 2018. Evaluation of water and wastewater company performance by using balanced scorecard model; case study: west Azerbaijan water and wastewater company. Journal of Water and Wastewater, 30(1), 50-63.
FAO, 2015. Social protection and agriculture: breaking the cycle of rural poverty, Food Agricultural Organization, Rome, Italy.
Fathi, B., Ashena, M. & Bahari, A. 2020. Energy, environmental, and economic efficiency in fossil fuel exporting countries: a modified data envelopment analysis approach. Sustainable Production and Consumption, 26, 588-596.
Fathi, B., Khodaparast Mashhadi, M., Homayounifar, M. & Sajadifar, S. 2017. An assessment of environmental efficiency of selected countries based on envelopment data analysis and game theory under competitive conditions. Quarterly Energy Economics Review, 13(53), 105-133.
Fathi, B. & Mahdavi Adeli, M. 2015. Measuring industrial energy efficiency with CO2 emissions in developing countries using static and dynamic nonparametric models. Quarterly Energy Economics Review, 11(46),
61-87.
Fathi, B., Mahdi Khodaparast, M. Homayounifar, M. & Sajadifar, S. 2017. Comparative study of energy and environmental efficiency in developing countries: desirable and undesirable output approach. Journal of Economic Research and Policies, 25(81), 85-121.
Fathi, B., Sajadifar, S. & Kiani, M. 2010. The measuring of the efficiency of water and wastewater company using DEA in Iran (case study: Markazi province). 2nd International Conference on Mathematical Sciences (ICMS2) 2010, Kuala Lumpur, Malaysia.
Fathi, B. & Zeinalzadeh, R. 2020. Measuring the efficiency of Iranian electricity distribution companies, a combined approach to bargaining game with DEA. Journal of Energy Planning and Policy Research, 6(2), 57-83.
Garcia Sachez, I. 2006. Efficiency measurement in Spanish local government: the case of municipal water services. Review of Policy Research, 23(2), 355-371.
Guerrini, a., Romano, G. & Campedelli, B. 2013. Economies of scale, scope, and density in the Italian water sector: a two-stage data envelopment analysis approach. Water Resources Manageement, 27(13), 4559-4578.
Guo, P. & Tanaka, H. 2001. Fuzzy DEA: a perceptual evaluation method. Fuzzy Sets and Systems, 119, 149-160.
Han, Y., Geng, Z., Zhu, Q. & Qu, Y. 2015. Energy efficiency analysis method based on fuzzy DEA cross-model for ethylene production systems in chemical industry. Energy, 83, 685-694.
Hernandez Chover, V., Bellver Domingo, A. & Hernandez Sancho, F. 2018. Efficiency of wastewater treatment facilities: the influence of scale economies. Journal of Environmental Management, 228, 77-84.
Jafarian Moghadam, A. & Ghoseiri, K. 2011. Fuzzy dynamic multi-objective data envelopment analysis model. Expert Systems with Applications, 38(1), 850-855.
Jahanshanloo, G., Memariani, A., Hosseinzadeh Lotfi, F. & Rezai, H. 2005. A note on some of DEA models and finding efficiency and complete ranking using common set of weights. Applied Mathematics and Computation, 166(2), 265-281.
Jaidari, F., Khodadad Kashi, F., Abolhasani, A. & Darvishi, B. 2020. Dynamic efficiency in regulation of urban water and wastewater companies of Iran. Journal of Economic Research, 55(1), 1-26.
Khodaparast Mashhad, M., Fotros, M. & Fathi, B. 2015. An analysis of cost function two-product firm: case study water and wastewater company Markazi province. Journal of Applied Economics Studies in Iran, 4(14), 193-217. (In Persian)
Lambardi, G. V., Stefani, G., Paci, A., Becagli, C., Miliacca, M., Gastaldi, M., et al., 2019. The sustainability of the Italian water sector: an empirical analysis by DEA. Journal of Cleaner Production, 227, 1035-1043.
Liu, J. & Fukushige, M. 2020. Efficiency and pricing of water supply and sewerage services in Japan. Utilities Policy, 62, 100984.
Mahmoudi, M., Fathi, B., Sajadifar, H. & Shahsavari, A. 2012. Measuring efficiency of water and wastewater company: a DEA approach. Research Journal of Applied Sciences Engineering and Technology, 12(4), 1642-1648.
Mohammad Jani, E. & Yazdanian, N. 2014. Analysis of the water crisis in the country and its management requirements. Economic Trends, 21(65-66), 114-144.
Molinos Senante, M., Donoso, G. & Sala Garrido, R. 2016. Assessing the efficiency of chilean water and sewerage companies accounting for uncertainty. Environmental Science and Policy, 61, 116-123.
Molinos Senante, M., Maziotis, A. & Sala Garrido, R. 2014. The Luenberger productivity indicator in the water industry: an empirical analysis for England and Wales. Utility Policy, 30, 18-28.
Mugera, A. 2013. Measuring technical efficiency of dairy farms with imprecise data: a fuzzy data envelopment analysis approach. Australian Journal of Agricultural and Resource Economics, 57, 501-519.
Puri, J. & Prasad Yadav, S. 2014. A fuzzy DEA model with undesirable fuzzy outputs and its application to the banking sector in India. Expert Systems with Applications, 41(14), 6419-6432.
Rezaee, J., Eydmohammadzadeh, H., Faghihnasiri, M. & Garshasbi, A. 2010. Evaluating the water and wastewater enterprises in provincial water sector using mathematical programming model. Iran-Water Resources Research, 6(1), 74-82. (In Persian)
Sajadifar, S., Asali, M., Fathi, B. & Mohamadbagheri, A. 2016. Measuring energy consumption efficiency using data envelopment analysis (DEA) with undesirable factors. The Journal of Planning and Budgeting, 20(4), 55-70.
Sajadifar, S., Pakrouh, S., Ghane, A. & Fathi, B. 2017. Effective drinking water pricing, a case study of Arak city. Journal of Water and Wastewater, 28(1), 95-103. (In Persian)
Sala Garrido, R., Hernandez Sancho, F. & Molinos Senante, M. 2012. Assessing the efficiency of wastewater treatment plants in an uncertain context: a DEA with tolerances approach. Environmental Science and Policy, 18, 34-44.
Wang, Y., Great Banks, R. & Yang, J. 2005. Interval efficiency assessment using data envelopment analysis. Fuzzy Sets and Systems, 153(3), 347-370.
WWC, 2000. World Water Council. The use water today, in: world water vision earth scan publications Ltd, London UK, chapter 2.
مجله آب و فاضلاب
دوره 32، شماره 3 - شماره پیاپی 134
مرداد و شهریور 1400
صفحه 82-93

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