Strategies to scale up the technical, allocative and economic efficiency of major millet growing farmers in India – A primal system approach

IF 5.4 Q1 ENVIRONMENTAL SCIENCES Environmental and Sustainability Indicators Pub Date : 2024-09-30 DOI:10.1016/j.indic.2024.100493
Kannan Thomas Felix , K.B. Ramappa , Padma Lakshmi Govindarajan
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Abstract

Millet farming, a sustainable and economically viable option for farmers, providing resilience against climate variability and market fluctuations. Despite the increasing significance of millets in agriculture, there is a notable research gap concerning the efficiency of their cultivation and its impact on input demand and costs. This study leverages data from CCPC for the AY 2021–22, focusing on major millets—Bajra, Jowar, and Ragi cultivated across various Indian states. The research aims to understand the technical, allocative, and economic inefficiencies in millet farming to enhance productivity and resource utilization. It is hypothesized that inefficiencies in millet cultivation significantly impact input demand and cultivation costs, and addressing these inefficiencies can lead to improved agricultural practices and yields. Employing primal Cobb-Douglas production function showed that human labor, seed quantity, and fertilizers positively impact millet cultivation. Technical inefficiency is a major issue with Bajra farmers in Gujarat, Haryana, Maharashtra, Rajasthan and Uttar Pradesh. For Jowar, farmers in Andhra Pradesh, Karnataka, Madhya Pradesh, Maharashtra, Rajasthan and Tamil Nadu are facing significant inefficiencies. In contrast, Karnataka and Odisha efficiently produce Ragi. Allocative inefficiency is noted in the over-utilization of animal and machine labor and fertilizers in Bajra cultivation, while these inputs are under-utilized in Jowar and Ragi cultivation. Both technical and allocative inefficiencies lead to increased input demand and higher cultivation costs across all three millets. The findings underscore the importance of state-specific strategies to address inefficiencies. These insights can guide policymakers in developing customized strategies to optimize millet cultivation, enhance yields and reduce costs.
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提高印度主要小米种植农户的技术、分配和经济效率的战略 - 原始系统方法
黍类作物种植是农民的一种可持续且经济上可行的选择,可抵御气候变异和市场波动。尽管黍类作物在农业中的重要性与日俱增,但有关其种植效率及其对投入需求和成本的影响的研究却存在明显差距。本研究利用了 CCPC 提供的 2021-22 年度数据,重点关注印度各邦种植的主要黍谷--金刚稷(Bajra)、乔瓦尔(Jowar)和糙米(Ragi)。研究旨在了解小米种植中的技术、分配和经济低效问题,以提高生产率和资源利用率。根据假设,小米种植中的低效会严重影响投入需求和种植成本,而解决这些低效问题可以改善农业生产方式,提高产量。采用原始柯布-道格拉斯生产函数表明,人力、种子数量和肥料对小米种植有积极影响。技术效率低下是古吉拉特邦、哈里亚纳邦、马哈拉施特拉邦、拉贾斯坦邦和北方邦的巴吉拉农民面临的主要问题。对于乔瓦,安得拉邦、卡纳塔克邦、中央邦、马哈拉施特拉邦、拉贾斯坦邦和泰米尔纳德邦的农民面临着严重的低效问题。相比之下,卡纳塔克邦和奥迪沙邦的糙米生产效率较高。分配效率低下表现在巴焦拉(Bajra)种植过度使用畜力、机械劳动力和肥料,而乔瓦尔(Jowar)和糙米(Ragi)种植则未充分利用这些投入。技术和分配效率低下导致所有三种粟米的投入需求增加,种植成本提高。这些发现强调了针对各州具体情况制定战略以解决效率低下问题的重要性。这些见解可指导政策制定者制定量身定制的战略,以优化小米种植、提高产量并降低成本。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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