Rice Production Modelling in Indonesia with the Spatial Autoregressive (SAR) Approach

DOI

10.2991/assehr.k.201010.030How to use a DOI?

Keywords

Rice Production, Crops, SAR, Clustering, Indonesia

Abstract

Rice production basically depends on the variable harvested area and yields per hectare, rice production can be increased if the harvested area has increased. In this study, a description of rice production and the factors that influence it from a regional perspective with a spatial weighting matrix, and modelling of rice production using the Spatial Autoregressive. The results showed that the spread of rice production in Indonesia has a pattern of clustering between regions that are close to one another. Based on the relationship of rice production with the variables that influence it, namely rice harvest area, paddy productivity, number of rice farmers, and paddy land area, it can be interpreted that similarities and differences in characteristics in each of the adjacent provinces can lead to an increase or decrease in rice production in Indonesia. The model used is the SAR (Spatial Autoregressive) model, and the results show that rice production in an area is influenced by rice harvested area and paddy field area.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tuti Purwaningsih
AU  - Nur Hargita Padmarini
PY  - 2020
DA  - 2020/10/11
TI  - Rice Production Modelling in Indonesia with the Spatial Autoregressive (SAR) Approach
BT  - Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019)
PB  - Atlantis Press
SP  - 207
EP  - 211
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201010.030
DO  - 10.2991/assehr.k.201010.030
ID  - Purwaningsih2020
ER  -