Page 28 - IIMV Newsletter Edition Dec 25

Research@IIMV

Women as catalysts: Eco-literacy and adoption

of energy-efficient appliances for a sustainable
lifestyle

Alka Rai , Vishal Singh Patyal , Sudhir Ambekar

Energy Policy (ABDC-A)

Household energy usage is a primary focus of energy efficiency
research due to its substantial potential for energy conservation and
climate change mitigation over a long term. Policymakers worldwide
have begun formulating regulations and taking initiatives to change
behavior across communities. This research adopts the theory
of planned behavior (TPB) to examine women’s perspectives on
energy-efficient appliances (EEAs) leading to household low-carbon
behavior. The model explores the role of “attitude”, “subjective
norms”, and “perceived behavior control” in shaping the “purchase
intent” toward EEAs. The study introduces explicitly contextual
antecedents such as “environmental consciousness” that play a
key role in capturing household “purchase intentions”. The study
employs the structural equation modeling technique, measuring
structural paths for direct and indirect relationships between
multiple constructs. The findings show that “attitude”, “subjective
norms”, and “perceived behavior control” positively predict the
“purchase intent” for EEAs, leading to low carbon behavior, with
significant moderation of “eco-literacy” in the model. Introducing
“eco-literacy” as a moderator helps policymakers decide their
efforts to promote environmental consciousness.

Click here to read the paper

Impediment ranking and solutions for enhancing
electric freight vehicle uptake in urban logistics

Aalok Kumar, Pooja Goel, Sunil Tiwari

Energy Economics (ABDC-A*)

The adoption of electric freight vehicles (EFVs) is integral to achieving
sustainable urban freight mobility (UFM); however, their large-
scale deployment remains constrained by a number of financial,
infrastructural, regulatory, policy, and operational barriers. This study
employs a robust multi-criteria decision analysis (MCDA) framework,
which integrates fuzzy Delphi, decision-making trial and evaluation
laboratory (DEMATEL), and interpretive structural modelling
(ISM), to systematically identify, rank, and link critical barriers to
EFV deployment. Through an initial literature review and expert-

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