Impact of PMKISAN Scheme on Production and Efficiency of Paddy Cultivation in Tamil Nadu, India
Asian Journal of Agricultural Extension, Economics & Sociology,
Aims: This study aimed to estimate the impact of Direct Cash Transfer scheme on production and technical efficiency of paddy cultivation.
Study Design: Multi-stage random sampling was used.
Place and Duration of Study: Sample: Three districts namely Dharmapuri, Thoothukudi and Thanjavur were randomly selected for the study during December 2021-March 2022.
Methodology: Both primary and secondary were used in the study. A pre-tested interview schedule was used to collect the information on general characteristics, cost of cultivation and resource inputs used were collected from 90 beneficiaries and 90 non-beneficiaries. Thus, a total of 180 sample respondents.
Results: Of the total PMKISAN assistance (Rs. 6000) about 5.16% (Rs. 3300) of the amount has been spent for cultivation purpose. The average cost of cultivation among the beneficiaries was lesser than non-beneficiaries and the net returns were more among the beneficiary than the non-beneficiary. The major share of operational cost incurred in paddy cultivation for beneficiaries and non-beneficiaries was towards human labour followed by machine labour and fertilizer cost. The estimated mean technical efficiency for PMKISAN beneficiaries was 84% and there is a chance of improvement for increase in yield. The difference in yield and technical efficiency may be due to assistance provided to the farmers, through which the cost of cultivation was less and were able to adopt new technologies.
Conclusion: Overall, the PMKISAN beneficiaries were able to use the PMKISAN assistance for procuring seeds, fertilizers and wages for labour. The beneficiaries were technically efficient in paddy production and also the cost of cultivation was lesser when compared to non-beneficiaries.
- technical efficiency
- cost of cultivation
- direct cash transfer
How to Cite
GoI. Agriculture Census 2015-16: All India Report on Number and Area of Operational Holdings, Agriculture Census Division, Ministry of agriculture and Farmers Welfare, Government of India; 2019.
NSO. Situation assessment of agricultural households and landholdings in rural India. NSS 77th Round, Ministry of Statistics and Programme Implementation, Government of India; 2021.
Ali, M. and M.A. Chowdhury, Inter-farm efficiency of Pakistan’s Punjab: A frontier production function study. Journal of Agricultural Economics. 1991;41(1):62-74.
Oo AZ, Sudo S, Inubushi K, Mano M, Yamamoto A, Ono K, Osawa T, Hayashida S, Patra PK, Terao Y, et al. Methane and nitrous oxide emissions from conventional and modifed rice cultivation systems in South India. Agric, Ecosyst Environ. 2018; 252:148–158.
Swaminathan MS, RV Bhavani. Food Production & availability essential prerequisites for sustainable food security. The Indian Journal of Medical Research. 2013;138(3):383-91.
Gaddi GM, Mundinamani SM, Hiremath GK. Resource-use efficiency in groundnut production in Karnataka - An economic analysis. Agricultural Situation in India. 2002;517-522.
Aymen Frija, Boubaker Dhehibi, Aden Aw-Hassan, Samia Akroush, Ali Ibrahim. Approaches to total factor productivity measurements in the agriculture economy. CGIAR Research Program on Dryland Systems; 2015.
Hazarika C, Subramanian SR. Estimation of technical efficiency in the stochastic frontier production function model - An application to the tea industry in Assam. Indian Journal of Agricultural Economics. 1999;54(2).
Dennis Aigner, C. A. Knox Lovell, Peter Schmidt, Formulation and estimation of stochastic frontier production function models, Journal of Econometrics. 1977; 6(1):21-37.
Hung-pin Lai, Subal C. Kumbhakar. Technical and allocative efficiency in a panel stochastic production frontier system model. European Journal of Operational Research. 2019;278(1):255-265.
Timmer CP. (1971) Using a probabilistic: Frontier production function to measure technical efficiency. Journal of Political Economy. 1971;79:776-794.
Battese GE, Coelli TJ. A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics. 1995;20:325-332.
Hundal JS, Sodhi SS. Gupta A, Singh J, Chahal US. Awareness, knowledge and risks of oonotic diseases among livestock farmers in Punjab, Veterinary World. 2016; 9(2):186.
Gurjar ML, Varghese KA. Structural changes over time in cost of cultivation of major rabi crops in Rajasthan. Indian Journal of Agricultural Economics. 2005; 60:249-263.
Guptha C, Raghu PT, Aditi N, Kalaiselvan NN. Comparative trend analysis in cost of paddy cultivation in profitability across three states of India. European Scientific Journal; 2014.
Abstract View: 281 times
PDF Download: 91 times