IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2017i1p24-d124071.html
   My bibliography  Save this article

Evaluating the Comprehensive Benefit of Group-Affiliated New Energy Power Generation Enterprises for Sustainability: Based on a Combined Technique of STBI and TOPSIS

Author

Listed:
  • Wenyin Yang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Lin Liu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xiaobao Yu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

As an efficient way to deal with the exhaustion of traditional fossil fuels, new energy power generation has obtained much attention from the Chinese Government. In this context, more and more new energy power generation groups that consist of large numbers of regional enterprises have been founded and developed rapidly. However, researches related to comprehensive benefit evaluation of group-affiliated new energy power generation enterprises is still blank in China, which will hinder the benefit growth and sustainable development of such enterprises. A novel hybrid evaluation indicator system is proposed from both perspectives of sustainability and the internal management within the groups. Considering the preference information given on each of the indicators is featured by multi-source and multi-form, an evaluation framework to integrate the blended and complex evaluation information is designed. In addition, different from previous studies, this paper employs a combined technique of Stochastic Transformation for Blended Information (STBI) method and the Technique for Order Preference by Similar to Ideal Solution (TOPSIS) to simulate the evaluation process and rank the comprehensive benefit of evaluation objects. It can efficiently handle the comprehensive evaluation problems with blended and complex evaluation information and preserve the initial evaluation information to the utmost simultaneously. Finally, this paper applied the evaluation model to empirical research and the results show that the model meets the actual situation of the new energy power generation group and can provide a certain reference value.

Suggested Citation

  • Wenyin Yang & Lin Liu & Xiaobao Yu, 2017. "Evaluating the Comprehensive Benefit of Group-Affiliated New Energy Power Generation Enterprises for Sustainability: Based on a Combined Technique of STBI and TOPSIS," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:24-:d:124071
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/1/24/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/1/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carneiro, Patrícia & Ferreira, Paula, 2012. "The economic, environmental and strategic value of biomass," Renewable Energy, Elsevier, vol. 44(C), pages 17-22.
    2. Xiucheng Dong & Jie Guo & Mikael Höök & Guanglin Pi, 2015. "Sustainability Assessment of the Natural Gas Industry in China Using Principal Component Analysis," Sustainability, MDPI, vol. 7(5), pages 1-17, May.
    3. Saaty, Thomas L., 2003. "Decision-making with the AHP: Why is the principal eigenvector necessary," European Journal of Operational Research, Elsevier, vol. 145(1), pages 85-91, February.
    4. Blanco, María Isabel, 2009. "The economics of wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1372-1382, August.
    5. Xiaogang Zhang & Dong Wang & Yuanhao Liu & Hongtao Yi, 2016. "Wind Power Development in China: An Assessment of Provincial Policies," Sustainability, MDPI, vol. 8(8), pages 1-12, July.
    6. Cunbin Li & Yunqi Liu & Shuke Li, 2016. "Risk Evaluation of Qinghai–Tibet Power Grid Interconnection Project for Sustainability," Sustainability, MDPI, vol. 8(1), pages 1-19, January.
    7. Baležentis, Tomas & Streimikiene, Dalia, 2017. "Multi-criteria ranking of energy generation scenarios with Monte Carlo simulation," Applied Energy, Elsevier, vol. 185(P1), pages 862-871.
    8. Henri, Jean-Francois, 2006. "Management control systems and strategy: A resource-based perspective," Accounting, Organizations and Society, Elsevier, vol. 31(6), pages 529-558, August.
    9. Xiaomin Xu & Dongxiao Niu & Jinpeng Qiu & Meiqiong Wu & Peng Wang & Wangyue Qian & Xiang Jin, 2016. "Comprehensive Evaluation of Coordination Development for Regional Power Grid and Renewable Energy Power Supply Based on Improved Matter Element Extension and TOPSIS Method for Sustainability," Sustainability, MDPI, vol. 8(2), pages 1-17, February.
    10. Tang, Yong & Sun, Honghang & Yao, Qiang & Wang, Yibo, 2014. "The selection of key technologies by the silicon photovoltaic industry based on the Delphi method and AHP (analytic hierarchy process): Case study of China," Energy, Elsevier, vol. 75(C), pages 474-482.
    11. K. Madan Shankar & P. Udhaya Kumar & Devika Kannan, 2016. "Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach," Sustainability, MDPI, vol. 8(8), pages 1-10, August.
    12. Fausto Cavallaro & Edmundas Kazimieras Zavadskas & Saulius Raslanas, 2016. "Evaluation of Combined Heat and Power (CHP) Systems Using Fuzzy Shannon Entropy and Fuzzy TOPSIS," Sustainability, MDPI, vol. 8(6), pages 1-21, June.
    13. Hepbasli, Arif, 2008. "A key review on exergetic analysis and assessment of renewable energy resources for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 593-661, April.
    14. Niemira, Michael P. & Saaty, Thomas L., 2004. "An Analytic Network Process model for financial-crisis forecasting," International Journal of Forecasting, Elsevier, vol. 20(4), pages 573-587.
    15. Yang, Jin & Song, Dan & Wu, Feng, 2017. "Regional variations of environmental co-benefits of wind power generation in China," Applied Energy, Elsevier, vol. 206(C), pages 1267-1281.
    16. Herrera, F. & Herrera-Viedma, E. & Chiclana, F., 2001. "Multiperson decision-making based on multiplicative preference relations," European Journal of Operational Research, Elsevier, vol. 129(2), pages 372-385, March.
    17. Huiru Zhao & Nana Li, 2016. "Performance Evaluation for Sustainability of Strong Smart Grid by Using Stochastic AHP and Fuzzy TOPSIS Methods," Sustainability, MDPI, vol. 8(2), pages 1-22, January.
    18. Şengül, Ümran & Eren, Miraç & Eslamian Shiraz, Seyedhadi & Gezder, Volkan & Şengül, Ahmet Bilal, 2015. "Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey," Renewable Energy, Elsevier, vol. 75(C), pages 617-625.
    19. Huizheng Ji & Dongxiao Niu & Meiqiong Wu & Duoduo Yao, 2017. "Comprehensive Benefit Evaluation of the Wind-PV-ES and Transmission Hybrid Power System Consideration of System Functionality and Proportionality," Sustainability, MDPI, vol. 9(1), pages 1-17, January.
    20. Grabisch, Michel, 1996. "The application of fuzzy integrals in multicriteria decision making," European Journal of Operational Research, Elsevier, vol. 89(3), pages 445-456, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mateusz Piwowarski & Danuta Miłaszewicz & Małgorzata Łatuszyńska & Mariusz Borawski & Kesra Nermend, 2018. "Application of the Vector Measure Construction Method and Technique for Order Preference by Similarity Ideal Solution for the Analysis of the Dynamics of Changes in the Poverty Levels in the European ," Sustainability, MDPI, vol. 10(8), pages 1-24, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wątróbski, Jarosław & Bączkiewicz, Aleksandra & Sałabun, Wojciech, 2022. "New multi-criteria method for evaluation of sustainable RES management," Applied Energy, Elsevier, vol. 324(C).
    2. Marcin Rabe & Dalia Streimikiene & Yuriy Bilan, 2019. "The Concept of Risk and Possibilities of Application of Mathematical Methods in Supporting Decision Making for Sustainable Energy Development," Sustainability, MDPI, vol. 11(4), pages 1-24, February.
    3. Xiaoye Jin & Meiying Li & Fansheng Meng, 2019. "Comprehensive Evaluation of the New Energy Power Generation Development at the Regional Level: An Empirical Analysis from China," Energies, MDPI, vol. 12(23), pages 1-15, December.
    4. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    5. Wu, Zhibin & Huang, Shuai & Xu, Jiuping, 2019. "Multi-stage optimization models for individual consistency and group consensus with preference relations," European Journal of Operational Research, Elsevier, vol. 275(1), pages 182-194.
    6. Quan Xiao & Shanshan Wan & Fucai Lu & Shun Li, 2019. "Risk Assessment for Engagement in Sharing Economy of Manufacturing Enterprises: A Matter–Element Extension Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-29, September.
    7. Dragan Pamučar & Ibrahim Badi & Korica Sanja & Radojko Obradović, 2018. "A Novel Approach for the Selection of Power-Generation Technology Using a Linguistic Neutrosophic CODAS Method: A Case Study in Libya," Energies, MDPI, vol. 11(9), pages 1-25, September.
    8. Aleksandra Bączkiewicz & Bartłomiej Kizielewicz & Andrii Shekhovtsov & Mykhailo Yelmikheiev & Volodymyr Kozlov & Wojciech Sałabun, 2021. "Comparative Analysis of Solar Panels with Determination of Local Significance Levels of Criteria Using the MCDM Methods Resistant to the Rank Reversal Phenomenon," Energies, MDPI, vol. 14(18), pages 1-21, September.
    9. Kirytopoulos, Konstantinos & Voulgaridou, Dimitra & Platis, Agapios & Leopoulos, Vrassidas, 2011. "An effective Markov based approach for calculating the Limit Matrix in the analytic network process," European Journal of Operational Research, Elsevier, vol. 214(1), pages 85-90, October.
    10. Shuyu Li & Rongrong Li, 2019. "Evaluating Energy Sustainability Using the Pressure-State-Response and Improved Matter-Element Extension Models: Case Study of China," Sustainability, MDPI, vol. 11(1), pages 1-20, January.
    11. Qunli Wu & Chenyang Peng, 2016. "Comprehensive Benefit Evaluation of the Power Distribution Network Planning Project Based on Improved IAHP and Multi-Level Extension Assessment Method," Sustainability, MDPI, vol. 8(8), pages 1-18, August.
    12. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
    13. Wang, Ni & Heijnen, Petra W. & Imhof, Pieter J., 2020. "A multi-actor perspective on multi-objective regional energy system planning," Energy Policy, Elsevier, vol. 143(C).
    14. Sebestyén, Viktor, 2021. "Renewable and Sustainable Energy Reviews: Environmental impact networks of renewable energy power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    15. Paula Donaduzzi Rigo & Graciele Rediske & Carmen Brum Rosa & Natália Gava Gastaldo & Leandro Michels & Alvaro Luiz Neuenfeldt Júnior & Julio Cezar Mairesse Siluk, 2020. "Renewable Energy Problems: Exploring the Methods to Support the Decision-Making Process," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    16. Hung-Ta Wen & Jau-Huai Lu & Mai-Xuan Phuc, 2021. "Applying Artificial Intelligence to Predict the Composition of Syngas Using Rice Husks: A Comparison of Artificial Neural Networks and Gradient Boosting Regression," Energies, MDPI, vol. 14(10), pages 1-18, May.
    17. Mehak Shafiq & Muhammad Farooq & Waqas Javed & George Loumakis & Don McGlinchey, 2023. "Thermo-Hydraulic Performance Analysis of Fe 3 O 4 -Water Nanofluid-Based Flat-Plate Solar Collectors," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    18. Utz Schäffer & Matthias D. Mahlendorf & Jochen Rehring, 2014. "Does the Interactive Use of Headquarter Performance Measurement Systems in Foreign Subsidiaries Endanger the Potential to Profit from Local Relationships?," Australian Accounting Review, CPA Australia, vol. 24(1), pages 21-38, March.
    19. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    20. Michel Grabisch, 2015. "Fuzzy Measures and Integrals: Recent Developments," Post-Print hal-01302377, HAL.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:24-:d:124071. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.