Technical Efficiency of Rice Farmers in Telangana, India: Data Envelopment Analysis (DEA)

K. N. R. Kumar
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引用次数: 1

Abstract

It is known that inability of the farmers to exploit the available production technologies results in lower efficiencies of production. So, the measurement of technical efficiency in agricultural crops in developing countries like India gained renewed attention since the late 1980s from an increasing number of researchers. Accordingly, the present study has employed Data Envelopment Analysis (DEA) and Malmquist Total Factor Productivity Index to ascertain the Technical Efficiency of rice productivity (2021-2022) and its changes over the study period (2019-2020 to 2021- 2022) respectively in Telangana, India. This study was based on secondary data pertaining to rice productivity (output variable), fertilizer doses (NPK), seed rate, water applied and organic manure (input variables). The findings of Data Envelopment Analysis revealed that the overall mean technical efficiency score across all the Decision-Making Units was 0.860 ranged between 0.592 to 1.000. So, the Decision-Making Units, on an average, could reduce their input usage by 14 per cent and still could produce the same level of rice output. Further, fertilizers (60.54 kg/ha); seed (5.63 kg/ha); water (234.48 mm) and organic manure (3.76 t/ha) use can be reduced without affecting the current level of rice productivity. Malmquist Total Factor Productivity indices (2019-2020 to 2021-2022) revealed that the mean scores of technical efficiency change, pure technical efficiency change and scale efficiency change are more than one (1.153, 1.042 and 1.009 respectively), unlike technological change (0.983). All the Decision-Making Units showed impressive progress with reference to technical efficiency change (1.112) and it is the sole contributor for Total Factor Productivity change in rice cultivation. The DEA results suggest that farmers should be informed about the use of inputs as per the scientific recommendations to boost the technical efficiency of rice productivity in Telangana. It also calls for policy initiatives for distribution of quality inputs to the farmers to boost technical efficiency in rice production.
印度Telangana稻农技术效率:数据包络分析(DEA)
众所周知,农民无法利用现有的生产技术导致生产效率降低。因此,自20世纪80年代末以来,对印度等发展中国家农作物技术效率的测量得到了越来越多的研究人员的重新关注。因此,本研究分别采用数据包络分析(DEA)和Malmquist全要素生产率指数来确定印度特伦甘纳邦水稻生产力的技术效率(2021-2022)及其在研究期间(2019-2020至2021-2022)的变化。本研究基于与水稻生产力(输出变量)、肥料剂量(NPK)、播种率、施水量和有机肥(输入变量)有关的二手数据。数据包络分析结果表明,各决策单元的总体平均技术效率得分为0.860,范围在0.592 ~ 1.000之间。因此,平均而言,决策单位可以减少14%的投入使用,并且仍然可以生产相同水平的稻米产量。此外,肥料(60.54公斤/公顷);种子(5.63公斤/公顷);水(234.48毫米)和有机肥(3.76吨/公顷)的使用可以在不影响当前水稻生产力水平的情况下减少。Malmquist全要素生产率指数(2019-2020年至2021-2022年)显示,技术效率变化、纯技术效率变化和规模效率变化的平均得分均大于1(分别为1.153、1.042和1.009),而技术变化的平均得分为0.983。各决策单元在技术效率变化方面均表现出显著的进步(1.112),是水稻种植全要素生产率变化的唯一贡献者。DEA的结果表明,应该按照科学建议向农民通报投入物的使用情况,以提高泰伦加纳邦水稻生产力的技术效率。它还呼吁采取政策举措,向农民分配优质投入,以提高水稻生产的技术效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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