IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v62y2025i1d10.1007_s12597-024-00778-w.html
   My bibliography  Save this article

TOPSIS-based factor analytic model for the assessment of agricultural development in the state of Uttar Pradesh, India

Author

Listed:
  • Vishwajeet Singh

    (Manipal Academy of Higher Education (MAHE))

  • Madhulika Dube

    (Babasaheb Bhimrao Ambedkar University)

  • Manojkumar Nagasampige

    (Manipal Academy of Higher Education (MAHE))

  • Ritanshi Trivedi

    (Babasaheb Bhimrao Ambedkar University)

Abstract

This study delves into the nuanced evaluation of disparities in agricultural development in the leading agriculture-producing state, Uttar Pradesh in India. Unfortunately, owing to a multitude of reasons, the pace of development in all the districts of the state is different. Therefore, using the data on twenty-six agricultural indicators for the years 2019 and 2020, a unique and novel application that combines Factor Analytic Model, based on the theory of TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), has been used to develop a composite index system for ranking the agricultural development in various districts in the state. The districts are then categorized into homogeneous groups of Highly Developed, Developed, Developing, and Less Developed in terms of their agricultural development status using Hierarchical and K-Mean Cluster Analysis. Key findings reveal significant prosperity in the Western region of Uttar Pradesh, while the semi-arid Bundelkhand region faces considerable challenges, emerging as the most underdeveloped zone. In order to help the policy makers and planners to achieve a uniform pace of agricultural development in the entire state, the work in the article is also devoted to determine model districts for the identified less developed districts.

Suggested Citation

  • Vishwajeet Singh & Madhulika Dube & Manojkumar Nagasampige & Ritanshi Trivedi, 2025. "TOPSIS-based factor analytic model for the assessment of agricultural development in the state of Uttar Pradesh, India," OPSEARCH, Springer;Operational Research Society of India, vol. 62(1), pages 37-54, March.
    • Handle: RePEc:spr:opsear:v:62:y:2025:i:1:d:10.1007_s12597-024-00778-w
    DOI: 10.1007/s12597-024-00778-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-024-00778-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-024-00778-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    Full references (including those not matched with items on IDEAS)

    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. Yi Peng, 2015. "Regional earthquake vulnerability assessment using a combination of MCDM methods," Annals of Operations Research, Springer, vol. 234(1), pages 95-110, November.
    2. Zheng, Guozhong & Wang, Xiao, 2020. "The comprehensive evaluation of renewable energy system schemes in tourist resorts based on VIKOR method," Energy, Elsevier, vol. 193(C).
    3. Milad Zamanifar & Seyed Mohammad Seyedhoseyni, 2017. "Recovery planning model for roadways network after natural hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 699-716, June.
    4. Pedro Ponce & Citlaly Pérez & Aminah Robinson Fayek & Arturo Molina, 2022. "Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework," Energies, MDPI, vol. 15(23), pages 1-19, November.
    5. Wenyao Niu & Yuan Rong & Liying Yu & Lu Huang, 2022. "A Novel Hybrid Group Decision Making Approach Based on EDAS and Regret Theory under a Fermatean Cubic Fuzzy Environment," Mathematics, MDPI, vol. 10(17), pages 1-30, August.
    6. Wabukala, Benard M. & Bergland, Olvar & Mukisa, Nicholas & Adaramola, Muyiwa S. & Watundu, Susan & Orobia, Laura A. & Rudaheranwa, Nichodemus, 2024. "Electricity security in Uganda: Measurement and policy priorities," Utilities Policy, Elsevier, vol. 91(C).
    7. Hisham Alidrisi, 2021. "An Innovative Job Evaluation Approach Using the VIKOR Algorithm," JRFM, MDPI, vol. 14(6), pages 1-19, June.
    8. Abbas Keramati & Fatemeh Shapouri, 2016. "Multidimensional appraisal of customer relationship management: integrating balanced scorecard and multi criteria decision making approaches," Information Systems and e-Business Management, Springer, vol. 14(2), pages 217-251, May.
    9. Serafim Opricovic, 2009. "A Compromise Solution in Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(8), pages 1549-1561, June.
    10. María Pilar de la Cruz López & Juan José Cartelle Barros & Alfredo del Caño Gochi & Manuel Lara Coira, 2021. "New Approach for Managing Sustainability in Projects," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    11. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    12. Khaled Alshehri & Mohadese Basirati & Devin Sapsford & Michael Harbottle & Peter Cleall, 2024. "Nature-Based Secondary Resource Recovery under Climate Change Uncertainty: A Robust Multi-Objective Optimisation Methodology," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    13. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.
    14. Jing Zhang & Xinglong Feng & Aixiang Wu & Haiyong Cheng & Zhengrong Li & Shaoyong Wang & Wei Sun & Chong Chen, 2025. "Critical early warning of underground debris flows in mines based on rainfall–collapse characteristics," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(1), pages 423-445, January.
    15. Alamoodi, A.H. & Zaidan, B.B. & Zaidan, A.A. & Albahri, O.S. & Chen, Juliana & Chyad, M.A. & Garfan, Salem & Aleesa, A.M., 2021. "Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    16. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    17. Sirirat Sae Lim & Hong Ngoc Nguyen & Chia-Li Lin, 2022. "Exploring the Development Strategies of Science Parks Using the Hybrid MCDM Approach," Sustainability, MDPI, vol. 14(7), pages 1-29, April.
    18. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    19. Zeynep Gamze Mert & Gülşen Akman, 2011. "The Profile of the Organized Industrial Zones in Kocaeli/TURKEY," ERSA conference papers ersa11p1137, European Regional Science Association.
    20. Olga A. Shvetsova & Elena A. Rodionova & Michael Z. Epstein, 2018. "Evaluation of investment projects under uncertainty: multi-criteria approach using interval data," Post-Print hal-01858557, 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:spr:opsear:v:62:y:2025:i:1:d:10.1007_s12597-024-00778-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.