Data for: Estimating the Impacts of Financing Support Policies towards Photovoltaic Market in Indonesia: A Social-Energy-Economy-Environment Model Simulation

Published: 11 Oct 2018 | Version 1 | DOI: 10.17632/wsd75n5fgk.1
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Description of this data

Data is used for Agent-based Renewables model for Integrated Sustainable Energy (ARISE), a solar energy policy model designed for use in developing countries. However, the data is for Indonesia case. The GIS files contains data for socio-economic characteristics and renewable energy potential; meanwhile m input output 6.txt is Leontief Inverse Matrix from Indonesian input output table 2010. Please refers the Appendix for more detailed description of the data.

Experiment data files

This data is associated with the following publication:

Estimating the impacts of financing support policies towards photovoltaic market in Indonesia: A social-energy-economy-environment model simulation

Published in: Journal of Environmental Management

Latest version

  • Version 1

    2018-10-11

    Published: 2018-10-11

    DOI: 10.17632/wsd75n5fgk.1

    Cite this dataset

    al Irsyad, Muhammad Indra; Halog, Anthony; Nepal, Rabindra (2018), “Data for: Estimating the Impacts of Financing Support Policies towards Photovoltaic Market in Indonesia: A Social-Energy-Economy-Environment Model Simulation”, Mendeley Data, v1 http://dx.doi.org/10.17632/wsd75n5fgk.1

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Categories

Solar Energy, Energy Policy, Energy Market Policy, Life Cycle Assessment, Agent-Based Modeling, Developing Countries, Input-Output Model, Energy Modelling

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CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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