Applications of Data-Driven Policymaking in the Local Energy Transition: A Multiple-case Study in the Netherlands
conference paper
The potential of the use of data to help improve policymaking is
increasingly recognized by governments, especially to address societal challenges.
One of those societal challenges is the energy transition, which happens for a
large part at the local government level. However, within the literature little is
known about which type of applications are utilized for data-driven policymaking.
From government practice a plethora of data-driven applications are mentioned
to be under development or in experimental phase, but not much is known on
which applications are actually utilized by policymakers. Therefore, the aim of
this exploratory study is to gain insight into howthese data-driven applications support
policymaking for the local energy transition. To investigate this, we perform a
multiple-case study of four municipalities in the Netherlands. Using an analytical
framework derived from an literature overview of data-driven applications for the
local energy transition, we carry out four case studies of the local energy transition
in the Netherlands. We find that they use data-driven applications throughout the
whole policy cycle. However, a significant gap exists between data-driven applications
to enable and accelerate the energy transition currently implemented, and
the desired applications, but also the potential applications found in literature.
We recommend future research pertaining to integrated and actionable adoption
strategies in order to bridge this gap.
increasingly recognized by governments, especially to address societal challenges.
One of those societal challenges is the energy transition, which happens for a
large part at the local government level. However, within the literature little is
known about which type of applications are utilized for data-driven policymaking.
From government practice a plethora of data-driven applications are mentioned
to be under development or in experimental phase, but not much is known on
which applications are actually utilized by policymakers. Therefore, the aim of
this exploratory study is to gain insight into howthese data-driven applications support
policymaking for the local energy transition. To investigate this, we perform a
multiple-case study of four municipalities in the Netherlands. Using an analytical
framework derived from an literature overview of data-driven applications for the
local energy transition, we carry out four case studies of the local energy transition
in the Netherlands. We find that they use data-driven applications throughout the
whole policy cycle. However, a significant gap exists between data-driven applications
to enable and accelerate the energy transition currently implemented, and
the desired applications, but also the potential applications found in literature.
We recommend future research pertaining to integrated and actionable adoption
strategies in order to bridge this gap.
Topics
TNO Identifier
981620
ISSN
03029743
ISBN
9783031232121
Publisher
Springer Science and Business Media Deutschland GmbH
Source title
International Conference on Electronic Participation ePart 2022.
Editor(s)
Krimmer, R. et al
Pages
55-72
Files
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