Data for spatio-temporal modelling and optimisation of multi-product rice value chains

Published: 12 December 2020| Version 1 | DOI: 10.17632/htgr7k5b79.1
Contributors:
Stephen Doliente,
Sheila Samsatli

Description

The data is supplement to the Data in Brief article "Data on resources and technologies for the multi-objective spatio-temporal optimisation of Philippine rice value chains". They serve as input to the rice value chains modelling and optimisation studies for the Philippines that is published in the Journal of Cleaner Production article "Integrated production of food, energy, fuels and chemicals from rice crops: Multi-objective optimisation for efficient and sustainable value chains". The data were acquired by literature search in academic journals, technical papers and government agencies. They are presented in tables or worksheets (MS Excel format) and fully referenced. There are eight worksheets. The first worksheet shows the contents of each worksheet. The following worksheets, A to F, tabulate the various data acquired for the resources, processing technologies and transporting technologies in order to model and optimise multi-product rice value chains. The last worksheet lists the references for all data collected.

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The demands for the various resources from rice crop are realistic national-level estimates, which were acquired for the modelling and optimisation of multi-product rice value chains. The yields, efficiency, costs and greenhouse gas emissions of relevant resources and technologies are reliable estimates, which were acquired to model their economic and environmental impacts. These data are in a specific format required as input to the rice value chain optimisation model, called the Value Web Model. For more details on the data acquisition and estimation, please refer to the associated Data in Brief article "Data on resources and technologies for the multi-objective spatio-temporal optimisation of Philippine rice value chains.