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This chapter sought to provide an overarching prioritization of Indian States/U.T. s by using different educational criteria such as, Number of Institutions (NI), Gross Enrolment Ratio (GER), Pupil–Teacher RatioPupil teacher ratio (PTR), Drinking Water Facility (DWF), Girl’s Toilet (GT), Gender Parity IndexGender parity index (GPI), Budget (BT), Mean Achievement ScoreMean achievement score in English (MASE) and Mathematics (MASM), Sanctioned or released fund (SF), Financial AchievementFinancial achievement (FA) and Vacancies (VA). Analytic Hierarchy Process (AHPAnalytical Hierarchy Process (AHP)) and Entropy were utilized to estimate the weightages of different criteria. Using the criteria weightages, WASPAS and TOPSIS were estimated to prioritize different states and U.T.s. Using the Analytic Hierarchy Process (AHP), the PTR was noticed with the highest priority, followed by NI, GER(ST), GER(SC), GER, GPI(SC), GT, DWF, GPI, FA, BT, GPI(ST), VA, MASE, MASM, and SF. Using the Entropy, the VA was noticed with the highest priority, followed by BT, NI, SF, FA, GER(SC), GPI(SC), GER(ST), GPI(ST), MASE, MASM, PTR, GER, GPI, GT, and DWF. Utilizing the TOPSIS-AHPAnalytical Hierarchy Process (AHP) method, Nagaland was identified in the first rank, followed by other States or U.T.s. Utilizing the TOPSIS-EntropyTOPSIS-entropy model, Andaman & Nicobar Islands were found with the highest rank, followed by the other states/U.T.s. According to the ranking by the AHPAnalytical Hierarchy Process (AHP)-WASPAS model, Uttar Pradesh was found in the highest rank, followed by others. According to the Entropy-WASPAS model, Odisha obtained the highest rank. According to the K-means clustering, four clustersCluster analysis were found. It supports inclusive growth and resource efficiency, all of which are in line with long-term sustainabilitySustainability.

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Ranking Indian States and Union Territories Based on Educational Indicators for Performance Assessment: A Multi-criteria Decision-Making Approach

  • 章节

  • 发表日期：

    2026年

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  • Shrinwantu Raha,
  • Prasanya Sarkar,
  • Sayan Deb,
  • Shasanka Kumar Gayen

摘要

This chapter sought to provide an overarching prioritization of Indian States/U.T. s by using different educational criteria such as, Number of Institutions (NI), Gross Enrolment Ratio (GER), Pupil–Teacher RatioPupil teacher ratio (PTR), Drinking Water Facility (DWF), Girl’s Toilet (GT), Gender Parity IndexGender parity index (GPI), Budget (BT), Mean Achievement ScoreMean achievement score in English (MASE) and Mathematics (MASM), Sanctioned or released fund (SF), Financial AchievementFinancial achievement (FA) and Vacancies (VA). Analytic Hierarchy Process (AHPAnalytical Hierarchy Process (AHP)) and Entropy were utilized to estimate the weightages of different criteria. Using the criteria weightages, WASPAS and TOPSIS were estimated to prioritize different states and U.T.s. Using the Analytic Hierarchy Process (AHP), the PTR was noticed with the highest priority, followed by NI, GER(ST), GER(SC), GER, GPI(SC), GT, DWF, GPI, FA, BT, GPI(ST), VA, MASE, MASM, and SF. Using the Entropy, the VA was noticed with the highest priority, followed by BT, NI, SF, FA, GER(SC), GPI(SC), GER(ST), GPI(ST), MASE, MASM, PTR, GER, GPI, GT, and DWF. Utilizing the TOPSIS-AHPAnalytical Hierarchy Process (AHP) method, Nagaland was identified in the first rank, followed by other States or U.T.s. Utilizing the TOPSIS-EntropyTOPSIS-entropy model, Andaman & Nicobar Islands were found with the highest rank, followed by the other states/U.T.s. According to the ranking by the AHPAnalytical Hierarchy Process (AHP)-WASPAS model, Uttar Pradesh was found in the highest rank, followed by others. According to the Entropy-WASPAS model, Odisha obtained the highest rank. According to the K-means clustering, four clustersCluster analysis were found. It supports inclusive growth and resource efficiency, all of which are in line with long-term sustainabilitySustainability.