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

Issue Date

12-2020

Abstract

A current and fully-referenced dataset of resources and technologies for rice provision system is presented in this paper. These data served as model input data for the first multi-objective spatio-temporal optimisation of Philippine rice value chains. Data on available farmland area and their characteristics, such as paddy rice yield, rice farming costs and GHG emissions, are reported. As scenarios were developed for optimal rice value chains of integrated food and non-food production, estimates on the spatio-temporal demands on food, energy, fuels and chemical are presented. Data on sale prices and GHG emission factors of the raw materials and products are also compiled. Processing and transporting technologies involved in the modelling have their economic and operating parameters presented in this paper. This dataset has been collated through academic journals, technical papers and government agencies; all of which have been properly referenced. These data are valuable to various stakeholders of the rice industry across the globe aiming to understand rice value chains optimisation studies and to conduct further scenario development under different conditions and assumptions.

Source or Periodical Title

Data in Brief

Volume

34

Page

1-5

Document Type

Article

Language

English

Subject

Cost of rice processing and transport, Food and non-food demands, GHG emissions, Multi-product rice value chains, Paddy rice yield, Rice farming costs, Spatio-temporal modelling and optimisation, Value Web Model

Identifier

DOI:10.1016/j.dib.2020.106694

Digital Copy

yes

En – AGROVOC descriptors

MULTI-PRODUCT RICE VALUE CHAINS; PADDY RICE YIELD; RICE FARMING COSTS; COST OF RICE PROCESSING AND TRANSPORT; GHG EMISSIONS; FOOD AND NON-FOOD DEMANDS; SPATIO-TEMPORAL MODELLING AND OPTIMISATION; VALUE WEB MODEL

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