Assessment of Economic Efficiency and Its Determents for Mixed Crop Livestock Production under Dryland Agriculture System in the Western Zone of Tamil Nadu, India

Author:

Balaji G. Arun1,Geethalakshmi Vellingiri2ORCID,Senthil Alagarsamy3ORCID,Prahadeeswaran Mockaisamy4,Iswarya Sivakumarasamy1,Rajavel Marimuthu3ORCID,Bhuvaneswari Kulanthaivel5ORCID,Natarajan Balakrishnan6ORCID,Senthilraja Kandasamy5ORCID,Gowtham Ramasamy2,Priyanka Shanmugavel5ORCID

Affiliation:

1. Department of Agronomy, Tamil Nadu Agricultural University, Coimbatore 641003, India

2. Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore 641003, India

3. Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore 641003, India

4. Department of Agricultural Economics, Tamil Nadu Agricultural University, Coimbatore 641003, India

5. Directorate of Crop Management, Tamil Nadu Agricultural University, Coimbatore 641003, India

6. Department of Soil Science and Agricultural Chemistry, Tamil Nadu Agricultural University, Coimbatore 641003, India

Abstract

In order to accomplish economic, social, and environmental objectives, farm diversification is a significant feature in India’s agricultural systems and rural development. It is crucial to examine factors impacting farm productivity, such as socio, structural, and Circular Economy (CE) factors, in order to ensure the sustainability of varied farms. A decision to follow a farm circularity approach is required to increase agricultural production, return on investment, and achieve sustainability, so the current study was designed to move forward in identifying farm efficiency and their influencing drivers in production systems for the successful execution of circularity in future farms. The objective of this paper is to find the existing operational efficiency of farms, variables that impact a farm’s efficiency, the disparities in farm efficiency, and variables dominating farm efficiency. The efficiency behaviours of Indian farms operating in 2020–2022 were studied and regressed against the factors influencing farm performance. A two-step technique and survey data were employed. To assess variations in the relevance of drivers, an input-oriented Data Envelopment Analysis was employed; in the second stage, efficiency ratings were used as a dependent variable in a Tobit regression analysis. Explanatory variables for enhancing farm performance included social, structural, and Circular Economy (CE) drivers. The age of the farmer, total farm area, and dryland area as socio-structural variables, and reduce, recycle, and redesign as CE variables, have proven to affect the farm’s efficiencies significantly. Managerial implications in terms of technical, allocative, cost efficiency, and their drivers have been drawn from study findings. CE has been confirmed to be the strategy over which the farmer has complete control and has been found to have a more significant impact on farm efficiency. Social structural determents are second in terms of their impact. Farmers in the region have cushy access to inputs; however, they are not utilized to their maximum effect. Therefore, the study indicates that inefficient dryland farmers could increase their production by concentrating on a circular economy strategy.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference54 articles.

1. (2022, August 10). IndiastatAgri. Available online: https://www.indiastat.com/data/agriculture/requirement-availability-and-sales-of-fertilisers.

2. (2022, August 12). IndiastatAgri. Available online: https://www.indiastat.com/data/agriculture/consumption-of-fertiliser-nurtients.

3. (2022, August 13). IndiastatAgri. Available online: https://www.indiastat.com/data/agriculture/fertiliser-prices.

4. (2022, August 14). IndiastatAgri. Available online: https://www.indiastatagri.com/table/labour-workforce/selected-state-wise-average-daily-wage-rates-agric/71279#.

5. (2022, August 16). IndiastatAgri. Available online: https://www.indiastatagri.com/table/labour-and-workforce/monthly-average-daily-wage-rates-harvesting-winnow/841232#.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3