Determinants of Climate-Smart Adaptation Strategies: Farm-Level Evidence from India

Abstract

The paper attempts to examine the factors that influence climate-smart adaptation (CSA) strategies. The study used binary logit and multivariate probit models to understand the dynamics and factors of agricultural households’ behavioural decisions on CSA strategies. Based on the results of the binary logit model, the study indicated that factors such as access to extension services and training, gender, educational level, land ownership, access to irrigation, access to credit and crop damage level positively and significantly influenced farmers’ decisions to use CSA strategies. Similarly, the results of the multivariate probit model reveal that factors such as educational level, access to extension services and training, and land ownership had significant impacts on the adoption of the majority of CSA strategies. To improve the intensity of CSA strategies, the study recommends expanding training and extension services to farming masses, the expansion of irrigation facilities and weather information at the farm level.

Determining factors and barriers to the uptake of climate change adaptation strategies of agriculture and aquaculture farm households in Myanmar

“…Farmers with higher education levels were more likely to choose measures related to recommended adaptation measures such as improved fertilizer application and soil management methods, while those with a lower level of education were more likely to choose measures related to indigenous farming methods and embankment building practices. Sahoo and Moharaj (2022) found that the educated households were more likely to adopt the climate change adaptation strategies than those less educated. Moreover, in a similar study, Do and Ho (2022) found that education of farm households and farmer’s belief in climate change are the major factors prompting farm households to adopt climate change adaptation strategies in the Mekong Delta of Vietnam.…”

“…It also determines the level of risk being exposed, the vulnerability of a system or community and socioeconomic development (Deressa et al , 2009; Tun Oo, 2018; IPCC, 2022). There are increasing assessments on the adaptation actions to understand and estimate the magnitude and rate of climate change and associated risks (Tun Oo et al , 2017; Sahoo and Moharaj, 2022; Nguyen and Bleys, 2023; Gemeda et al , 2023). Despite the progress achieved, however, adaptation gaps are still present between current levels of adaptation and levels needed to respond to reduce the climate risks.…”

Assessing Agricultural Vulnerability to Climate Change Through Dynamic Indexing Approach

“…The division of greenhouse gas (GHG) mitigation responsibilities between developed and developing nations underscores the urgent need for adaptive strategies that bolster ecosystem resilience to the impacts of climate change (Vincent and Cull 2010). This imperative has catalyzed an increase in vulnerability assessment research across various scales, including local (T N Balasubramanian et al 2007), national (Moss et al 2001;Vincent 2004), zonal (Heltberg and Bonch-Osmolovskiy 2011), provincial/state (Brenkert and Malone 2005), district (Nadeem et al 2022;Bahinipati 2014;TERI 2003;O'Brien et al 2004;Palanisami et al 2009;Patnaik and Narayan 2005;Palanisami et al 2010), community (Balasubramanium et al 2009Young et al 2010), and household levels (Sahoo and Moharaj 2022;Deressa et al 2008;Hahn et al 2009). These studies provide essential insights that enable policymakers to allocate limited resources effectively in the development and implementation of adaptation strategies.…”

Farm size and productivity relationship among the farming communities in India

“…These are important ways to bring small farmers out of the poverty trap and to stimulate youth's interest in agriculture (Swaminathan, 2016). Even though various measures have been taken to make farming more profitable and to protect the farmers from unwanted economic distress, the persistence of agrarian catastrophes has contributed to the extensive occurrence of farmer suicides in India (Sahoo and Moharaj, 2022).…”