Determination of agricultural infrastructural suitability in aspirational districts: A case study of Bundelkhand

RAJNI JAIN; PREM CHAND; PRIYANKA AGARWAL; SULAKSHANA RAO; SURESH PAL

doi:10.56093/ijas.v91i7.115117

Authors

RAJNI JAIN ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India
PREM CHAND ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India
PRIYANKA AGARWAL ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India
SULAKSHANA RAO ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India
SURESH PAL ICAR-National Institute of Agricultural Economics and Policy Research, New Delhi 110 012, India

https://doi.org/10.56093/ijas.v91i7.115117

Keywords:

Agricultural infrastructure, Agricultural market, Crop suitability, Farm credit, Krishi Vigyan Kendras

Abstract

Agricultural infrastructure has the potential to transform subsistence farming into commercial and dynamic farming system. Adequate markets, roads, irrigation, extension services, credit facilities, storage etc. facilitate lowering of farming costs and increase in farm income. The study, carried out during 2017-20 at ICAR-NIAP, presents methodology for measuring adequacy status of rural infrastructure and its categorisation into five classes using a case study of Bundelkhand region.The results show that there is ample scope for agricultural productivity enhancement in Bundelkhand by focussing on agricultural markets, credit institutions, roads, agricultural extension and storage infrastructure.The proposed methodology can be replicated for other regions, states and districts.

Downloads

Download data is not yet available.

References

Barslund M and Tarp F. 2008. Formal and informal rural credit in four provinces of Vietnam. Journal of Development Studies 44(4): 485–503. DOI: https://doi.org/10.1080/00220380801980798

Casella M I and Schilling B. 2017. Necessary role of extension in development of agricultural regulations. Journal of Extension 55(6). Retrieved from https://archives.joe.org/joe/2017December/comm1.php DOI: https://doi.org/10.34068/joe.55.06.45

Census of India. 2011. Office of the Registrar General and Census Commissioner, India, Ministry of Home Affairs, GoI.

GoI. 2019. https://agmarknet.gov.in/accessed on August 2019.

ICAR. 2019. https://kvk.icar.gov.in/.

Indiastat. 2019. http://Indiastat.com/.

Jain R, Chand P, Rao S C and Agarwal P. 2020. Crop and soil suitability analysis using multi-criteria decision making in drought-prone semi-arid tropics in India. Journal of Soil and Water Conservation 19(3): 271–83, DOI: 10.5958/2455- 7145.2020.00036. DOI: https://doi.org/10.5958/2455-7145.2020.00036.3

Jain R, Malangmeih L, Raju S S, Srivastava S K, Immaneulraj K and Kaur A. 2018. Optimization techniques for crop planning: A review. Indian Journal of Agricultural Sciences 88(12): 1826–35. DOI: https://doi.org/10.56093/ijas.v88i12.85423

Kamara A B. 2004. The impact of market access on input use and agricultural productivity: Evidence from Machakos district, Kenya. Agrekon 43(2): 202–16. DOI: https://doi.org/10.1080/03031853.2004.9523645

Llanto G M. 2012. The impact of infrastructure on agricultural productivity No. 2012-12, Philippine Institute for Development Studies (PIDS), Discussion Paper Series.

Narayanamoorthy A, Alli P and Suresh R. 2015. Is the role of irrigation in agricultural output declining in India?: A district-wise study at six time points. Indian Journal of Agricultural Economics 70: 333–49.

NCCD. 2015. All India cold-chain infrastructure capacity: Assessment of Status & Gap. retrieved from: https://nccd. gov.in/.

NITI. 2016. Human Development Report: Bundelkhand 2012. NITI Aayog-UNDP Project on Human Development: towards Bridging Inequalities.

Chamberlin J and Jayne T S.2013. Unpacking the meaning of ‘Market Access’: Evidence from rural Kenya. World Development 41(1): 245–64. DOI: https://doi.org/10.1016/j.worlddev.2012.06.004

Pandey D K, De H K, Phukan R, Mehra T S, Mishra B P, Chanu T M and Tomar K S. 2018. Information, credit and market access by upland tribals in north-eastern Himalaya of India: An empirical study. Indian Journal of Agricultural Sciences 88(12): 89–94. DOI: https://doi.org/10.56093/ijas.v88i12.85443

Patel A. 2014. Infrastructure for Agriculture & Rural Development In India- Need for A Comprehensive Program and Adequate Investment. 1-13 retrieved https://www.microfinancegateway.org.

Purushotham P and Paani B S. 2016. Strengthening rural livelihoods in Bundelkhand. Journal of Rural Development 35(1): 1–16.

Rezaei J. 2015. Best-worst multi-criteria decision-making method. Omega 53: 49–57. DOI: https://doi.org/10.1016/j.omega.2014.11.009

Saaty T L and Vargas L G. 2012. Models, Methods, Concepts and Applications of the Analytic Hierarchy Process, Vol 175. Springer Science and Business Media. DOI: https://doi.org/10.1007/978-1-4614-3597-6

Sajesh V K and Suresh A. 2016. Public-sector agricultural extension in India: A note. Review of Agrarian Studies 6(1): 116–31. DOI: https://doi.org/10.25003/RAS.06.01.0006

Samra J S. 2008. Report on Drought mitigation strategy for Bundelkhand region of Uttar Pradesh and Madhya Pradesh. Inter-Ministerial Team, New Delhi.

Singh P and Kour J. 2014. Role of infrastructure in the growth of agriculture in Punjab. Journal of Economics and Finance: 17–20. DOI: https://doi.org/10.9790/5933-0351720

Babu S C, Joshi P K, Glendenning C J, Asenso-Okyere K and Sulaiman V R. 2013. The state of agricultural extension reforms in India: Strategic priorities and policy options. Agricultural Economics Research Review 26(2): 159–72.