Development of the theory of demand and utility in the conditions of change of quality of the goods

Safiullin, L.N.; Ismagilova, G.N.; Safiullin, N. Z.

doi:10.1037/e582692013-007

Cited by 1 publication

(1 citation statement)

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“…Traditional and modern markets in Surakarta City are found in various areas, which are the locations of trade centers. Several aspects can distinguish between traditional and modern markets, among others, regarding the goods being traded and the target buyers or consumers (Safiullin et al, 2012). Modern markets are managed with modern management, generally found in urban areas, as providers of goods and services with good service quality to consumers, generally the upper middle class (Sarwoko, n.d.).…”

Section: Introductionmentioning

confidence: 99%

Study of Spatial Pattern Distribution of Traditional Markets to Modern Markets in Surakarta City

Julianto¹,

Amin²,

Kiat³

2023

Advances in Social Science, Education and Humanities Research

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Population growth will encourage the development of economic development in a region. The trade sector, which continues to develop with the growth of trading facilities in traditional and modern markets, will create a pattern of distribution of trading points. Surakarta has 44 traditional markets and 88 modern markets as trading facilities. The market locations are spread across five districts. This study examines the spatial distribution pattern of traditional markets to modern markets in Surakarta City, using the Average Nearest Neighbor (ANN) analysis method with the help of ArcMap 10.8 software as a data processing tool. The results obtained in this study are that the pattern of distribution of traditional markets throughout Surakarta was included in the random pattern category, with a value of Nearest Neighbor Ratio = 1.020146. Meanwhile, the distribution pattern of the modern market was included in the clustered pattern category, with the Nearest Neighbor Ratio = 0.789121. Banjarsari sub-district was the area with the most trading facilities. The highest population and total area among other sub-districts in Surakarta City drove this.

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Section: Introductionmentioning

confidence: 99%