Estimation of the effects of price on apartment water demand using cointegration and error correction techniques

Ghavidelfar, Saeed; Shamseldin, Asaad Y.; Melville, Bruce W.

doi:10.1080/00036846.2015.1083082

Cited by 9 publications

(4 citation statements)

References 27 publications

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“…For apartment households, the undefined category is probably smaller than 15 percent as they do not use water for outdoor purposes (e.g., gardening and washing cars). 14 For water demand elasticities, see, for example, Reynaud and Romano (2018) and Ghavidelfar et al (2016). For electricity demand elasticities, see, for example, Labandeira et al (2017) and Burke and Abayasekara (2018).…”

Section: Why the Effects On Electricity But Not Water Use?mentioning

confidence: 99%

Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use*

Kažukauskas

Broberg

Jaraitė

2021

Scandinavian J Economics

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A large body of literature shows that the provision of social comparisons can cause households to reduce residential energy and water use. In this paper, we carry out a field experiment that contributes to this literature in two important ways. First, we study a social comparison treatment that is continuous and communicated via pre-installed in-home displays, which are salient and updated in real time. Second, we estimate the effects of provision of social comparisons on two distinguished resources-electricity and water-in the same experimental setting. We find that, on average, our social comparison reduces daily residential energy consumption by 6.7 percent but has no effect on overall residential water use. The electricity savings are impersistent and occur in the evening hours, which only slightly overlap with peak hours. We argue that electricity conservation due to social comparisons is driven by short-run changes in households' electricity saving behavior.

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Section: Why the Effects On Electricity But Not Water Use?mentioning

confidence: 99%

Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use*

Kažukauskas

Broberg

Jaraitė

2021

Scandinavian J Economics

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“…This pattern closely follows the tertiary academic calendar in New Zealand rather than the usual summer and winter seasons. In a time-series study of apartment water demand, Ghavidelfar et al (2016b) showed that during the months of the academic year the average water use of apartments in CBD increases by around 10%. They attributed this increase to the higher number of occupants in the apartments during the academic months.…”

Section: Resultsmentioning

confidence: 99%

Evaluating the determinants of high-rise apartment water demand through integration of water consumption, land use and demographic data

2018

Self Cite

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Over the past decades rapid population growth in urban areas has promoted the development of high-density housing such as high-rise apartments. In order to properly supply water to this growing sector, it is essential to understand the determinants of its water use. However, this task has largely remained unexplored through the empirical study of water demand mainly due to the scarcity of data in this sector. Using a rich source of GIS-based urban databases in Auckland, New Zealand, this study integrated apartment water consumption, property characteristics, weather, water pricing and census microdata to overcome this issue. This study also compared high-rise apartment water use and its determinants with low-rise apartments. Through applying panel data models, the study revealed that, similar to the low-rise apartments, household size is the most important determinant of high-rise apartment water use in Auckland, where other socioeconomic factors, building features, water pricing and weather variables were not significant determinants. The study also showed that the per capita water consumption in the high-rise apartments in Auckland was higher than in the low-rise apartments, challenging the assumption underlying contemporary urban policy that densifying the central city areas can offer significant savings in water use.

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“…The most frequently used determinants of persistent consumption are behavioral control and contextual determinants. Even though the price elasticity of drinking water and energy usage is debated [35][36][37][38], the behavioral control that comes with household income is found to be significantly correlated with higher usage in the long term in several studies [39][40][41][42][43][44][45]. This might also be due to little efficiency behavior by occupying bigger dwellings [43,[45][46][47] and owning and using more energy-using devices [39,45,46,48].…”

Section: Persistent Behaviormentioning

confidence: 99%

“…In addition, they seem to be accustomed to a particular high-usage lifestyle as attempts to increase the conservation behavior often result in compensation behavior through rebound effects [52]. Yet, household income could be rather important for interventions as financial incentives (e.g., [53,68,73]) and water or energy prices (e.g., [35,37]) are debated determinants of long-term conservation behavior. Stimulating households that have the means to adopt resource-efficient devices might be a crucial intervention as multiple studies showed that the presence of these devices helps households to maintain conservation behavior [13,39,45,46,48].…”

Section: Key Factorsmentioning

confidence: 99%

Determinants of Long-Term Water and Energy Conservation Behavior: An Integrated Review

Ambaum,

Corten,

Lambooij

et al. 2024

Sustainability

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Over the last decades, drinking water and energy use have increased exponentially. To preserve ecosystems in the long term, a change in behavior is necessary on all levels of society including on the household level. This paper presents an integrated review of the determinants of long-term drinking water and energy conservation behavior of households. We identified forty-nine relevant studies discussing long-term conservation behavior in the context of drinking water and energy use. Long-term conservation behavior was measured as either persistent behavior, maintaining behavioral change, or intentions to maintain behavior, each with specific determinants. We found four key factors for long-term conservation behavior: consumption feedback, household characteristics, effort, and motives for conservation behavior. For future studies, we suggest follow-up questionnaires or interviews to measure the persistence of behavior and differentiate between curtailment and efficiency behavior. Worthwhile avenues for future research on long-term conservation behavior are household-tailored feedback mechanisms and the interaction between contextual factors and effort-based choices.

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Estimation of the effects of price on apartment water demand using cointegration and error correction techniques

Cited by 9 publications

References 27 publications

Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use*

Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use*

Evaluating the determinants of high-rise apartment water demand through integration of water consumption, land use and demographic data

Determinants of Long-Term Water and Energy Conservation Behavior: An Integrated Review

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