Demand Supply Analysis for Eco-Sanitary Products in Surabaya

Purnamaningtyas, Indah (2017) Demand Supply Analysis for Eco-Sanitary Products in Surabaya. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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The water consumption in Surabaya is considered higher than Jakarta and Singapore. This situation could lead to water crisis in 2018. The use of eco-sanitary products (ESP) is one way to reduce water usage, thus delay the water crisis. However, up to now there is no any study addresses the implementation or the use of eco-sanitary products in the society. This study analyzes the demand and the supply side of ESP product in Surabaya city. Statistical model approach with logistic binary regression was used for analyzing of the influence factors in the demand side analysis by using sample of 440 households. Meanwhile, the willingness to change and to pay analysis in the demand side is using mathematical scoring and mode approach respectively. Data crosstabulation was used to process the data of the supply side analysis. The findings shows that there are only 14.3% from the total surveyed households which is categorized as eco-household. There are four factors identified that may influence the ESP usage, which are household income level, household spending, awareness to water crisis and ESP knowledge. In addition, only medium income level that do not influence the ESP usage. The willingness to change analysis results that there are three drivers for the people to change, which are sanitary product price, product impact on water savings and government subsidy. From the supply side survey, the market of faucets is ready to provide eco product to the customer because of the high availability of eco-faucets in the market. Most of the salesman has lack of knowledge about eco-sanitary product and the eco features on water saving is not the main concern for the selling strategy.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: supply side, demand side, logistic binary regression, eco products, water crisis
Subjects: H Social Sciences > HA Statistics
T Technology > T Technology (General) > T58.62 Decision support systems
Divisions: Faculty of Industrial Technology > Industrial Engineering > 26201-(S1) Undergraduate Thesis
Depositing User: Indah Purnamaningtyas
Date Deposited: 09 Oct 2017 03:11
Last Modified: 08 Mar 2019 02:54

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