scholarly journals Micro-economic analysis of domestic water demand: application of the pseudo-panel approach

2021 ◽  
pp. 100118
Author(s):  
Imen Gam ◽  
Jaleleddine Ben Rejeb
2021 ◽  
Vol 13 (3) ◽  
pp. 1414
Author(s):  
Mónica Madonado-Devis ◽  
Vicent Almenar-Llongo

In urban water provisioning, prices can improve efficiency, contributing to the achievement of the environmental objective. However, household responses to price changes differ widely based on the household characteristics. Analyses performed at the aggregate level ignore the implications of water demand incentives at the individual household level. A large data sample at the household level enables estimation of econometric models of water demand, capturing the heterogeneity in domestic consumption. This study estimated the domestic water demand in the city of Valencia and its elasticity, along with the demands of its different districts and neighbourhoods (intra-urban scale analysis). Water price structure in Valencia is completely different from that of other Spanish cities: it is a price structure of increasing volume (increasing rate tariffs, IRT). For this estimation, from a microdata panel at the household level, the demand function with average prices for the period 2008–2011 was estimated using panel data techniques including a fixed effect for each neighbourhood. The domestic water demand elasticity at the average price in Valencia was estimated at −0.88 (which is higher than that estimated for other Spanish cities). This value indicates an inelastic demand at the average price of the previous period, which can cause consumers to overestimate the price and react more strongly to changes.


1975 ◽  
Vol 11 (6) ◽  
pp. 805-809 ◽  
Author(s):  
Peretz Darr ◽  
Stephen L. Feldman ◽  
Charles S. Kamen

Author(s):  
Dina Paramitha Anggraeni Hidayat ◽  
Yuddi Yudistira

<p><em>In Indonesia, water resources management planning has done based on river area. But the problem is the calculation still based on population data with administrative boundary. This is caused by the lack of population data with watershed or river area boundary. Geographical Information System (GIS) is a tools to analyze, visualize and interpret data with spatial and geographic data. For this research, GIS is used to generate population data with watershed and river area boundary,then the result will used for domestic water demand calculation for Cisadane upstream watershed. For all district in Cisadane Upstream Watershed, the largest district in entire watershed are Cibungbulang, Leuwiliang and Nanggung. But the most dense population are Ciomas, Ciampea and Cibungbulang. The calculation using watershed boundary resulting significant difference from district boundary. With spatial data population using watershed boundary, domestic water demand calculation result can be more accurate than using all district population data. </em></p>


Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Lang Yu ◽  
Chen Xie ◽  
...  

Purpose The purpose of this paper is to develop a statistical-based model to forecast future domestic water demand in the context of climate change, population growth and technological development in Yellow River. Design/methodology/approach The model is developed through the analysis of the effects of climate variables and population on domestic water use in eight sub-basins of the Yellow River. The model is then used to forecast water demand under different environment change scenarios. Findings The model projected an increase in domestic water demand in the Yellow River basin in the range of 67.85 × 108 to 62.20 × 108 m3 in year 2020 and between 73.32 × 108 and 89.27 × 108 m3 in year 2030. The general circulation model Beijing Normal University-Earth System Model (BNU-ESM) predicted the highest increase in water demand in both 2020 and 2030, while Centre National de Recherches Meteorologiques Climate Model v.5 (CNRM-CM5) and Model for Interdisciplinary Research on Climate- Earth System (MIROC-ESM) projected the lowest increase in demand in 2020 and 2030, respectively. The fastest growth in water demand is found in the region where water demand is already very high, which may cause serious water shortage and conflicts among water users. Originality/value The simple regression-based domestic water demand model proposed in the study can be used for rapid evaluation of possible changes in domestic water demand due to environmental changes to aid in adaptation and mitigation planning.


Author(s):  
Shangming Jiang ◽  
Shaowei Ning ◽  
Xiuqing Cao ◽  
Juliang Jin ◽  
Fan Song ◽  
...  

Due to the importance and complexity of water resources regulations in the pond irrigation systems of the Jiang-Huai hilly regions, a water allocation simulation model for pond irrigation districts based on system simulation theory was developed in this study. To maximize agricultural irrigation benefits while guaranteeing rural domestic water demand, an optimal water resources regulation model for pond irrigation districts and a simulation-based optimal water resources regulation technology system for the pond irrigation system were developed. Using this system, it was determined that the suitable pond coverage rate (pond capacity per unit area) was 2.92 × 105 m3/km2. Suitable water supply and operational rules for adjusting crop planting structure were also developed the water-saving irrigation method and irrigation system. To guarantee rural domestic water demand, the multi-year average total irrigation water deficit of the study area decreased by 4.66 × 104 m3/km2; the average multi-year water deficit ratio decreased from 20.40% to 1.18%; the average multi-year irrigation benefit increased by 1.11 × 105 RMB (16,128$)/km2; and the average multi-year revenue increased by 6.69%. Both the economic and social benefits were significant. The results of this study provide a theoretical basis and technological support for comprehensive pone governance in the Jiang-Huai hilly regions and promote the establishment of a water allocation scheme and irrigation system for pond irrigation districts, which have practical significance and important application value.


Water SA ◽  
2018 ◽  
Vol 34 (3) ◽  
pp. 381 ◽  
Author(s):  
HJ Van Zyl ◽  
AA Ilemobade ◽  
JE Van Zyl

1986 ◽  
Vol 62 (1) ◽  
pp. 26 ◽  
Author(s):  
David L. Chicoine ◽  
Ganapathi Ramamurthy

2011 ◽  
Vol 36 (4) ◽  
pp. 501-515 ◽  
Author(s):  
Liz Sharp ◽  
Adrian McDonald ◽  
Patrick Sim ◽  
Cathy Knamiller ◽  
Christine Sefton ◽  
...  

2012 ◽  
Vol 12 (2) ◽  
pp. 140-147 ◽  
Author(s):  
Ana Paula Micou ◽  
Gordon Mitchell ◽  
Adrian McDonald

Growth in population and households, and lifestyle changes are factors placing water resources under increasing stress in some parts of the UK. The Code for Sustainable Homes (CSH), a government regulation defining performance standards for new dwellings, is one measure that may act to counter rising domestic water demand. One goal of the CSH is to reduce potable water use per capita in each home through implementation of water conservation measures. This paper reports on work in progress that aims to understand the likely impact of the CSH on regional and national water demand. A spreadsheet model is being developed to assess domestic water demand under a range of CSH uptake scenarios, as well as a range of demographic, technical, economic and behavioural aspects of water consumption and conservation. The paper discusses the model development and presents some preliminary results for the Yorkshire region.


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