Assessing role of water user associations in enhancing efficiency of rice (Oryza sativa) production: Insights from the Nagarjuna Sagar Project command area of Andhra Pradesh

BALASUBRAMANIAN  M; M L  NITHYASHREE; VENKATESH  P; D R  SINGH; UMAMAGESWARI  M

doi:10.56093/ijas.v96i01.161977

Authors

BALASUBRAMANIAN M ICAR-Indian Agricultural Research Institute, New Delhi
M L NITHYASHREE ICAR-Indian Agricultural Research Institute, New Delhi
VENKATESH P ICAR-Indian Agricultural Research Institute, New Delhi
D R SINGH ICAR-Indian Agricultural Research Institute, New Delhi
UMAMAGESWARI M Pandit Jawaharlal Nehru College of Agriculture and Research Institute, Puducherry

https://doi.org/10.56093/ijas.v96i01.161977

Keywords:

DEA Bootstrap, NSP command area, Rice farming, Technical efficiency, Water user association

Abstract

Addressing the rice (Oryza sativa L.) yield gap is one of the most necessary steps in sustaining food security. The survey was carried out during 2021–22 to investigate the sources of technical efficiency in rice farming within the Nagarjuna Sagar Project Command area (NSP) of Andhra Pradesh, India. Utilizing Data Envelopment Analysis (DEA) with a double bootstrap approach, the study analysed the primary data collected from 112 Water User Association (WUA) participants and 86 non-participants across the Kanapparu, Muppalla, and Nadenla villages in Muppalla, and Nadenla blocks of the NSP command area of Guntur district. The estimates of average technical efficiency (TE) of 0.69 indicated that farming households can reduce inputs by 31% without altering output levels. Key factors influencing technical efficiency were obtained by double bootstrap estimation revealing participation in Water User Associations (WUAs) enhances the technical efficiency of rice farming. Fixation of water charges and the equitable distribution of irrigation water were found to be key factors associated with the higher level of participation in WUA.

Downloads

Download data is not yet available.

References

Agricultural Statistics at a Glance. 2022. Department of Agriculture and Farmers Welfare, Ministry of Agriculture and Farmers’ Welfare, Government of India. https://desagri. gov.in/wp-content/uploads/2023/05/Agricultural-Statistics-at-a-Glance-2022.pdf

Alam F. 2011. Measuring technical, allocative and cost efficiency of pangas (Pangasius hypophthalmus: Sauvage 1878) fish farmers of Bangladesh. Aquaculture Research 42 (10): 1487–500.

Alam F and Murshed-e-Jahan M. 2008. Resource allocation efficiency of the prawn-carp farmers of Bangladesh. Aquaculture Economics and Management 12(3): 188–206.

Badunenko O and Mozharovskyi P. 2016. Nonparametric frontier analysis using Stata. The Stata Journal: Promoting Communications on Statistics and Stata 16(3): 550–89.

Balcombe K, Fraser I, Latruffe L, Rahman M and Smith L. 2008. An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming. Applied Economics 40(15): 1919–25.

Bogetoft P and Otto L. 2010. Benchmarking with DEA, SFA, and R. Springer Science and Business Media. https://doi. org/10.1007/978-1-4419-7961-2

Coelli J, D S P Rao, C J O’Donnell and G E Battese. 2005. An Introduction to Efficiency and Productivity Analysis, 2nd edn. Springer, New York.

Iliyasu A and Mohamed Z A. 2015. Technical efficiency of tank culture systems in peninsular Malaysia: An application of data envelopment analysis. Aquaculture Economics and Management 19(4): 372–86.

Latruffe L, Davidova S and Balcombe K. 2008. Application of a double bootstrap to investigation of determinants of technical efficiency of farms in central Europe. Journal of Productivity Analysis 29(2): 183–91.

Long L K, Thap L V, Hoai N T and Thuy P T T. 2020. Data envelopment analysis for analyzing technical efficiency in aquaculture: The bootstrap methods. Aquaculture Economics and Management 525: 1–11.

Nayak H S, McDonald A J, Kumar V, Craufurd P, Dubey S K, Nayak A K, Parihar C M, Peramaiyan P, Poonia S, Tesfaye K, Malik R K, Urfels A, Gautam U S and Silva J V. 2024. Context-dependent agricultural intensification pathways to increase rice production in India. Nature Communications 15: 8403. https://doi.org/10.1038/s41467-024-52448-6

Nguyen K T and Fisher T C G. 2014. Efficiency analysis and the effect of pollution on shrimp farms in the Mekong river delta. Aquaculture Economics and Management 18(4): 325–43. https://doi.org/10.1080/13657305.2014.959209

Nielsen R. 2011. Green and technical efficient growth in Danish fresh water aquaculture. Aquaculture Economics and Management 15(4): 262–77.

Obianefo C A, Ng’ombe J N, Mzyece A, Masasi B, Obiekwe N J and Anumudu O. 2021. Technical efficiency and technological gaps of rice production in Anambra State, Nigeria. Agriculture 11(12): 1240.

Olson K and Vu L. 2009. Economic efficiency in farm households: Trends, explanatory factors, and estimation methods. Agricultural Economics 40(5): 587–99.

Paul K S R, Sunandini G P, Irugu S and Suhasini K. 2020. Farm level technical efficiency of paddy production in Andhra Pradesh: An empirical evidence from the cost of cultivation survey data. Economic Affairs 65(4): 659–63.

Simar L and Wilson P. 2000. Statistical inference in nonparametric frontier models. The state of the art. Journal of Productivity Analysis 13(1): 49–78.

Simar L and Wilson P W. 2002. Non-parametric tests of returns to scale. European Journal of Operational Research 139(1): 115–132.

Simar L and Wilson P W. 2007. Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics 136(1): 31–64.