Does women’s participation in agricultural technology adoption decisions affect the adoption of climate‐smart agriculture? Insights from Indo‐Gangetic Plains of India

DOIhttp://doi.org/10.1111/rode.12670
AuthorRitika Khurana,Dil Bahadur Rahut,Srabashi Ray,Tek B. Sapkota,Cathy R. Farnworth,Jeetendra Prakash Aryal
Published date01 August 2020
Date01 August 2020
Rev Dev Econ. 2020;24:973–990. wileyonlinelibrary.com/journal/rode
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973
© 2020 John Wiley & Sons Ltd
Received: 4 October 2018
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Revised: 4 March 2020
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Accepted: 29 March 2020
DOI: 10.1111/rode.12670
REGULAR ARTICLE
Does women’s participation in agricultural
technology adoption decisions affect the adoption
of climate-smart agriculture? Insights from Indo-
Gangetic Plains of India
Jeetendra PrakashAryal1
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Cathy R.Farnworth2
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RitikaKhurana3
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SrabashiRay4
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Tek B.Sapkota1
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Dil BahadurRahut1
1International Maize and Wheat
Improvement Center (CIMMYT), Texcoco,
Mexico
2Gender consultant, Münster, Germany
3West Virginia University, Morgantown,
WV, USA
4Oregon State University, Corvallis, OR,
USA
Correspondence
Dil Bahadur Rahut, International
Maize and Wheat Improvement Center
(CIMMYT), Texcoco, Mexico.
Email: d.rahut@cgiar.org
Funding information
CGIAR Research Program on Climate
Change, Agriculture and Food Security
(CCAFS) and CGIAR Research Program
on Wheat Agri-Food Systems (CRP-
WHEAT).
Abstract
Increased participation of women in the agricultural technol-
ogy adoption decision by farm households is one of the key
indicators of gender empowerment in the agricultural sector.
This study examines whether women’s participation in the
household decision to adopt agricultural technology affects
the adoption of climate-smart agriculture (CSA), using data
collected from 1,267 farm households from two Indian states
of Bihar and Haryana. When we considered the sex of the
household head (using a dummy variable for male-headed
vs female-headed household) as a basis of analyzing the role
of gender in the adoption of CSA, we found that women in
Haryana had no role in the adoption of CSA. On the contrary,
when we considered women’s participation in technology
adoption decisions as a basis of gender analysis, we found that
women’s participation in technology adoption decisions in
Haryana is much higher as compared to Bihar. Consequently,
the likelihood to adopt CSA is higher in Haryana than in Bihar.
We also found that wealth, training, and access to extension
and market positively influenced CSA adoption. Qualitative
analysis shows that women farmers prioritize family food se-
curity rather than farm income, and therefore, they are more
likely to focus on CSA to ensure food security.
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ARYAL et AL.
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INTRODUCTION
Agricultural production in South Asia is increasingly facing an adverse impact of climate change
(Arshad et al., 2017; Aryal, Sapkota, et al., 2019; Asseng et al., 2014; Knox, Hess, Daccache, &
Wheeler, 2012). Although cereal production in South Asia, including India, has increased signifi-
cantly since the mid-1960s, due to the Green Revolution, sustaining this is more challenging in the
context of climate change (Bhatt, Kukal, Busari, Arora, & Yadav, 2016; Gupta, Somanathan, & Dey,
2017; INCCA, 2010; Mughal & Fontan Sers, 2020) and also due tothe impacts of climate change on
natural resources, primarily soil and water (Ortiz et al., 2008; Vinke et al., 2017). For instance, global
warming reduced wheat yield in India by 5% from 1981 to 2009, notwithstanding the use of adaptation
measures (Gupta et al., 2017). Recent projections show that climate change will reduce the yield of
rainfed maize by an average of 3%–6% in 2030 and 5%–12% in 2050 and the yield of irrigated maize
by 3%–8% and 5%–14% in 2030 and 2050, respectively, if current varieties were grown (Tesfaye et al.,
2017). Although evidence about the effects of climate change on agriculture is divergent, climatic
variability is already exerting 5%–10% drag on the yield growth of major crops such as rice and wheat
in India (Lobell, Schlenker, & Costa-Roberts, 2011; Lobell, Sibley, & Ivan Ortiz-Monasterio, 2012).
Another crucial issue is the contribution of agriculture to global warming. In India, the contribution
of the agriculture sector to the total greenhouse gas (GHG) emissions is increasing (Aryal, Rahut,
Sapkota, Khurana, & Khatri-Chhetri, 2020). Therefore, climate-smart agriculture (CSA) is necessary
to ensure food systems to develop the capacity to adapt to climatic variability, sequester atmospheric
carbon into the soil, and reduce GHG emissions from agroecosystems while increasing production
and productivity (Aggarwal et al., 2018; Aryal, Sapkota, Rahut, & Jat, 2020; IPCC, 2014; Sapkota,
Jat, Aryal, Jat, & Khatri-Chhetri, 2015).
CSA (for details, see Section 2) addresses three major challenges, namely, climate change adapta-
tion, GHG mitigation, and food security benefits (Aryal, Sapkota, et al., 2020; Campbell, Thornton,
Zougmoré, van Asten, & Lipper, 2014; Sapkota et al., 2015). In this study, we consider zero tillage
with residue retention, conservation agriculture, laser-assisted precision land leveling, site-specific
nutrient management (SSNM), and information and communication technology (ICT)–based weather
information and farm advisory services as CSA. Despite proven economic benefits of CSA to farmers,
its uptake among smallholder farmers in India remains low because of the failure to properly under-
stand, and respond to, gender relations as they relate to decision-making in the farm systems. The
adoption of CSA is influenced by complex interactions between natural factors, including climatic
and agroecological conditions, and socioeconomic factors, including interactions between gender,
caste, market participation, ownership of resources, and information. Yet, the recognition that the
farming landscape is configured a priori by gender relations and the implications this has for farmer
decision-making is low (Lambrou & Pianna, 2005; Lamontagne-Godwin et al., 2019; Lawson, Alare,
Salifu, & Thompson-Hall, 2019). Women and men farmers, in their capacity as household heads and
as household members, typically experience differences in their ability to respond to incentives for be-
havioral change. These differences can be partly associated with gaps in the ownership of and access
to assets and in decision-making capacity regarding the deployment of assets of all kinds, including
information (Aryal, Mottaleb, Rahut, & Dil, 2019; Reggers, 2019; Shaw & Kristjanson, 2014).
Climate change has gender-differentiated impacts as the capacity to respond to climate change is
shaped by power relations that govern the access to productive resources, information, and availability
KEYWORDS
climate change, climate-smart agriculture, gender, India

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