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Economic Impact of Vegetable Variety in Haryana: A Case of Pusa Rudhira of Carrot

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Indian Journal of Economics and Development
Volume 16 No. 1, 2020, 147-151
DOI: https://doi.org/10.35716/ijed/20005
Indexed in Clarivate Analytics (ESCI) of WoS
NAAS Score: 4.82
UGC Approved: UGC Care List Group II

Utkarsh Tiwari1*, I. Sekar2, P. Anbukkani1, Jaiprakash Bisen3, Pramod Kumar4
G.K. Jha4 and Prabhakar Kumar5
1Scientists, 4Principal Scientists, and 5Research Associate, Division of Agricultural Economics, ICAR-Indian Agricultural Research Institute, New Delhi-110012, 2Principal Scientist, Division of Research System Management, National Academy of Agricultural Research Management (NAARM), Hyderabad-500030 (Telangana), and 3Scientist, ICAR-National Rice Research Institute, Cuttack-753006 (Odisha)

Corresponding author’s email: utkarshtiwari@iari.res.in

ABSTRACT

This study aimed at assessing the economic impact of Pusa Rudhira variety using an economic surplus approach during 2014-15 in Haryana. Primary data were collected from Panipat, Sonepat and Fatehabad districts purposively on account of a large area under vegetable cultivation and the total sample was 120 farmers. The results revealed that there was an economic surplus of 100.84 crores generated out of this technology. Of this total surplus, the share of producers’ and consumers’ gains was around 66 and 34 percent respectively. It implied that such benefits came from investment in research of this crop production technology. Financial viability analysis of returns to investment in research of developing the Pusa Rudhira variety showed that the project was economically viable since benefit-cost ratio (BCR) and internal rate of return (IRR) was 447 and 138 percent respectively. Sensitivity analysis was conducted, four scenarios were developed keeping both supply and demand elasticity at a different level. While keeping inelastic demand and supply elastic, the economic surplus was 59.4 crore.

Keywords
Economic surplus, financial measures, impact assessment, producer surplus, sensitivity analysis.
JEL Codes Q12, Q13, Q16, Q19.

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