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Assessing impacts of fuel subsidy decisions on poverty and fish catch in Central Java, Indonesia: An agent-based analysis
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Alex Smajgl, Geoff Carlin, Erin Bohensky,
Alan House, Ahmad Syakir Kurnia, James Butler,Catur Sugiyanto, Malcolm Hodgen,
Septaliana Dewi Prananingtyas, Roby Fadillah, Azis Khan, Anang Budi Gunawan,
Setya Rusdianto, Erik Armundito, Selenia Palupiningtyas
Introduction
Macro-policy decisions aim to achieve targets that are often measured at a highly aggregated
scale, such as GDP and inflation. Such indicators, however, aggregate what emerges from many
micro-level processes. Indonesia’s macro policy aims for high levels of economic growth to
achieve poverty alleviation targets. Relevant grassroots-level processes include, for instance,
household livelihood strategies. A livelihood is defined “as the assets, activities, and the access
that determine the living gained by the individual or household (Ellis 2000). Some macro
policy interventions increase the pressure on natural resources, a pressure that can have an
adverse effect on households that depend on these resources. The ultimate result could be
increasing poverty levels.
This paper aims to analyse the impact of energy-related macro-policy decisions (see Section 3.3
for a complete list of policy interventions) on poverty and use levels of natural resources
simulating household level processes. As core indicators, this analysis employs ‘number of
households below the poverty line’ and ‘fish catch’. Impacts are analysed in an agent-based
simulation model for three districts of Central Java, namely Demak, Jepara and Pati. In this
province the poverty line is defined as IDR 47,862 per week and person (BPS 2009).
The development of the underlying agent-based model is embedded in a larger research project.
This project reflects the relevance of multi-scale governance in a blend of methodologies that
were selected and designed in participation with the Indonesian government. The process
included decision makers at the level of central government, provincial government and district
governments.
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