泰伦加纳邦农业决策实体的技术绩效:一种新的基于数据包络分析(DEA)方法的综合评价

Pavan Kumar Donthula, R. Nellutla, V. Haragopal
{"title":"泰伦加纳邦农业决策实体的技术绩效:一种新的基于数据包络分析(DEA)方法的综合评价","authors":"Pavan Kumar Donthula, R. Nellutla, V. Haragopal","doi":"10.26713/cma.v14i1.1929","DOIUrl":null,"url":null,"abstract":". The present research paper, we evaluate technical performance of agriculture farming decision making entities Optimality Analytics by CCR and BCC techniques through Data Envelopment Analysis approach for the Telangana state and see that the optimal empirical performances of farming entities with respective to all the districts of the state of Telangana. The district wise agriculture farming decision making entities performances is evaluated by considering the Technical/Pure Technical Efficiency of one district over rest of the districts under various permutations by computing the Efficiency scores, Scale Efficiency (SE), CRS, VRS, References and Peers of the DMUs, and also assign a rank of decision-making units based on the reference sets. Integrated analytical techniques were used to improve the inputs and outputs values of the inefficient DMUs. A new integrated CCR and BCC theoretical models are used to evaluate the performance of the districts for the data are presented in this research paper.","PeriodicalId":43490,"journal":{"name":"Communications in Mathematics and Applications","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Technical Performance of Agriculture Farming Decision Making Entities in Telangana State: A New Integrated Evaluation Using Data Envelopment Analysis (DEA) Approach\",\"authors\":\"Pavan Kumar Donthula, R. Nellutla, V. Haragopal\",\"doi\":\"10.26713/cma.v14i1.1929\",\"DOIUrl\":null,\"url\":null,\"abstract\":\". The present research paper, we evaluate technical performance of agriculture farming decision making entities Optimality Analytics by CCR and BCC techniques through Data Envelopment Analysis approach for the Telangana state and see that the optimal empirical performances of farming entities with respective to all the districts of the state of Telangana. The district wise agriculture farming decision making entities performances is evaluated by considering the Technical/Pure Technical Efficiency of one district over rest of the districts under various permutations by computing the Efficiency scores, Scale Efficiency (SE), CRS, VRS, References and Peers of the DMUs, and also assign a rank of decision-making units based on the reference sets. Integrated analytical techniques were used to improve the inputs and outputs values of the inefficient DMUs. A new integrated CCR and BCC theoretical models are used to evaluate the performance of the districts for the data are presented in this research paper.\",\"PeriodicalId\":43490,\"journal\":{\"name\":\"Communications in Mathematics and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Mathematics and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26713/cma.v14i1.1929\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Mathematics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26713/cma.v14i1.1929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0

摘要

。本文通过数据包络分析方法,对泰伦加纳邦农业决策主体的技术绩效进行了CCR和BCC技术的最优性分析,并发现泰伦加纳邦所有地区的农业决策主体的最优经验绩效均为。通过计算效率得分、规模效率(SE)、CRS、VRS、参考文献和同行,考虑不同排列下某一地区相对于其他地区的技术/纯技术效率,并根据参考集对决策单元进行排序,从而评价地区明智农业经营决策实体的绩效。采用综合分析技术提高了低效率dmu的输入和输出值。本文提出了一种新的综合CCR和BCC理论模型来评估地区绩效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Technical Performance of Agriculture Farming Decision Making Entities in Telangana State: A New Integrated Evaluation Using Data Envelopment Analysis (DEA) Approach
. The present research paper, we evaluate technical performance of agriculture farming decision making entities Optimality Analytics by CCR and BCC techniques through Data Envelopment Analysis approach for the Telangana state and see that the optimal empirical performances of farming entities with respective to all the districts of the state of Telangana. The district wise agriculture farming decision making entities performances is evaluated by considering the Technical/Pure Technical Efficiency of one district over rest of the districts under various permutations by computing the Efficiency scores, Scale Efficiency (SE), CRS, VRS, References and Peers of the DMUs, and also assign a rank of decision-making units based on the reference sets. Integrated analytical techniques were used to improve the inputs and outputs values of the inefficient DMUs. A new integrated CCR and BCC theoretical models are used to evaluate the performance of the districts for the data are presented in this research paper.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
53
期刊最新文献
Performance Improvement in Speech Based Emotion Recognition With DWT and ANOVA A Simple Mathematical Model for Covid-19: Case Study of Goa Role of Glucose and Oxygen Concentration on Tumor Cell: A Mathematical Model New Method of Cryptography With Python Code Using Elzaki Transform and Linear Combination of Function Semi Analytic-Numerical Solution of Imbibition Phenomenon in Homogeneous Porous Medium Using Hybrid Differential Transform Finite Difference Method
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1