eprintid: 12009
rev_number: 13
eprint_status: archive
userid: 3178
dir: disk0/00/01/20/09
datestamp: 2022-09-15 09:34:43
lastmod: 2022-09-15 09:34:43
status_changed: 2022-09-15 09:34:43
type: article
metadata_visibility: show
creators_name: Pal, B D
creators_name: Shalander, K
creators_name: Patan, E K
icrisatcreators_name: Shalander, K
icrisatcreators_name: Patan, E K
country: India
title: Investment planning to minimize climate risk in agricultural production: an optimization model for a semi-arid region in India
ispublished: pub
subjects: CL1
subjects: s2.8
divisions: GRP_EST
crps: crp1.11
full_text_status: none
keywords: Climate-smart agriculture, Agriculture technology, Investment planning, Risk minimization
note: The authors thank Pramod K Aggarwal, Pramod K Joshi, Anthony Whitbread and Paresh Shirsath for their inputs; participants of the stakeholders’ workshops organized at ICRISAT and EPTRI at Hyderabad, India.
abstract: This study undertakes a prioritization of investments for upscaling context-specific climate-smart agriculture (CSA) technologies across several districts in the semi-arid Telangana state of India. We first analysed the trade-off between expected agricultural income in these districts and deviation from it under drought and normal weather scenarios. We extended the conventional MOTAD model with climate-smart technologies to assess their role in minimizing this trade-off under various weather scenarios. For our analysis, we relied on a five-year (2010–2011 to 2014–2015), district-level panel dataset on the cost of cultivation and crop production of 11 major crops under six different climate-smart technologies and farmers’ traditional practices (FTPs). This dataset included a collation of official statistics on the cost of cultivation, focus group interviews with farmers over the years and data from experimental plots operated by regional agricultural research stations. We found that the adoption of CSA technologies in Telangana, compared to FTPs, led to a 16% reduction in production risk while achieving optimum levels of crop income. Under FTPs, in a scenario of the high probability of drought, the production risk is increased by 12% while the adoption of CSA technologies reduced this risk by 25%. Our study suggests that increasing investments in farm ponds and unpuddled machine transplanting of rice can minimize the risk-return trade-off in a higher drought frequency scenario. The study fills a critical gap by generating evidence, and developing a robust planning tool, for policymakers to make informed decisions on investments in resilience-enhancing CSA.
date: 2022-09-08
date_type: published
publication: Climate Policy (TSI)
publisher: Taylor & Francis
pagerange: 1-18
refereed: TRUE
issn: 1469-3062
official_url: https://doi.org/10.1080/14693062.2022.2118656
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=Investment+planning+to+minimize+climate+risk+in+agricultural+production%3A+an+optimization+model+for+a+semi-arid+region+in+India&btnG=
related_url_type: pub
funders: This work was implemented as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), which is carried out with support from CGIAR Fund Donors and through bilateral funding agreements and
funders: the Indian Council of Agricultural Research is thankfully acknowledged.
citation:   Pal, B D and Shalander, K and Patan, E K  (2022) Investment planning to minimize climate risk in agricultural production: an optimization model for a semi-arid region in India.  Climate Policy (TSI).  pp. 1-18.  ISSN 1469-3062