Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java

Research using a global regression model might not be appropriate to find out the factors that influence strategic food prices based on spatial characteristics. To analyze the spatial effect, Geographically Weighted Regression (GWR) was employed. GWR models are better than OLS, which is indicated by...

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Autores principales:	Jan Piter Sinaga, Agung Hendriadi, Muhammad Firdaus, Akhmad Fauzi, Idha Widi Arsanti
Formato:	article
Lenguaje:	EN ID
Publicado:	Bogor Agricultural University 2021
Materias:	Agriculture (General) S1-972 Business HF5001-6182
Acceso en línea:	https://doaj.org/article/33229ae22afa46f28fcac86618df5075
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spelling	oai:doaj.org-article:33229ae22afa46f28fcac86618df50752021-11-04T04:20:00ZAnalysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java1693-58532407-252410.17358/jma.18.2.144https://doaj.org/article/33229ae22afa46f28fcac86618df50752021-07-01T00:00:00Zhttps://jurnal.ipb.ac.id/index.php/jmagr/article/view/35630https://doaj.org/toc/1693-5853https://doaj.org/toc/2407-2524Research using a global regression model might not be appropriate to find out the factors that influence strategic food prices based on spatial characteristics. To analyze the spatial effect, Geographically Weighted Regression (GWR) was employed. GWR models are better than OLS, which is indicated by the higher R2 GWR and lower AIC values. The GWR analysis provides the following findings: (1) the wholesale price most influential on the retail price of medium rice and red chili both during the main harvest and non-harvest periods; (2) the harvest pattern results in the effect of production and producer prices on the retail prices of the major harvest and non-harvest periods. Management of inter-regional distribution must be carried out to maintain supply stability and disparity in food prices between regions; (3) producer prices are integrated with trader prices in the district of production centers and surrounding areas while the integration of food prices at the consumer level occurs in the main economic center area of the region. These aspects have different effects for each region and district because the estimated parameters can be positive or negative. Testing during the harvest season (April) and non-harvest can also produce estimates that vary according to the specific characteristics of each location. Keywords: spatial analysis, Geographically Weighted Regression (GWR), retail prices, wholesale price, spatial distribution patternsJan Piter SinagaAgung HendriadiMuhammad FirdausAkhmad FauziIdha Widi ArsantiBogor Agricultural UniversityarticleAgriculture (General)S1-972BusinessHF5001-6182ENIDJurnal Manajemen & Agribisnis, Vol 18, Iss 2, Pp 144-144 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	Agriculture (General) S1-972 Business HF5001-6182
spellingShingle	Agriculture (General) S1-972 Business HF5001-6182 Jan Piter Sinaga Agung Hendriadi Muhammad Firdaus Akhmad Fauzi Idha Widi Arsanti Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
description	Research using a global regression model might not be appropriate to find out the factors that influence strategic food prices based on spatial characteristics. To analyze the spatial effect, Geographically Weighted Regression (GWR) was employed. GWR models are better than OLS, which is indicated by the higher R2 GWR and lower AIC values. The GWR analysis provides the following findings: (1) the wholesale price most influential on the retail price of medium rice and red chili both during the main harvest and non-harvest periods; (2) the harvest pattern results in the effect of production and producer prices on the retail prices of the major harvest and non-harvest periods. Management of inter-regional distribution must be carried out to maintain supply stability and disparity in food prices between regions; (3) producer prices are integrated with trader prices in the district of production centers and surrounding areas while the integration of food prices at the consumer level occurs in the main economic center area of the region. These aspects have different effects for each region and district because the estimated parameters can be positive or negative. Testing during the harvest season (April) and non-harvest can also produce estimates that vary according to the specific characteristics of each location. Keywords: spatial analysis, Geographically Weighted Regression (GWR), retail prices, wholesale price, spatial distribution patterns
format	article
author	Jan Piter Sinaga Agung Hendriadi Muhammad Firdaus Akhmad Fauzi Idha Widi Arsanti
author_facet	Jan Piter Sinaga Agung Hendriadi Muhammad Firdaus Akhmad Fauzi Idha Widi Arsanti
author_sort	Jan Piter Sinaga
title	Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
title_short	Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
title_full	Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
title_fullStr	Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
title_full_unstemmed	Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java
title_sort	analysis of geographically weighted regression (gwr) on retail prices of medium rice and red chili in java
publisher	Bogor Agricultural University
publishDate	2021
url	https://doaj.org/article/33229ae22afa46f28fcac86618df5075
work_keys_str_mv	AT janpitersinaga analysisofgeographicallyweightedregressiongwronretailpricesofmediumriceandredchiliinjava AT agunghendriadi analysisofgeographicallyweightedregressiongwronretailpricesofmediumriceandredchiliinjava AT muhammadfirdaus analysisofgeographicallyweightedregressiongwronretailpricesofmediumriceandredchiliinjava AT akhmadfauzi analysisofgeographicallyweightedregressiongwronretailpricesofmediumriceandredchiliinjava AT idhawidiarsanti analysisofgeographicallyweightedregressiongwronretailpricesofmediumriceandredchiliinjava
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Analysis of Geographically Weighted Regression (GWR) on Retail Prices of Medium Rice and Red Chili in Java

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