2020
DOI: 10.3390/w12102656
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Municipal Water Consumption and Urban Economic Growth in El Paso

Abstract: This study investigates the nexus between municipal water consumption and economic growth for El Paso, TX, USA. Located in the semi-arid southwestern United States, El Paso water consumption has been the subject of prior economic studies. However, the relationship between water consumption and economic growth has not been previously analyzed for El Paso or any other metropolitan economies in the region. Empirical results indicate that municipal water usage and real personal income are integrated of order one, … Show more

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Cited by 5 publications
(2 citation statements)
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“…We should note, however, that Katz [53] questions its relevance for designing water strategies, whilst Expósito, et al [54,55] cannot find evidence of the EKC for household water consumption in the municipalities of the Guadalquivir River Basin. Finally, it is important to mention Pastor and Fullerton [56] who warn of the need to carry out a detailed analysis of the time properties of the variables, given that this can condition the use of the most appropriate econometric method.…”
Section: Discussionmentioning
confidence: 99%
“…We should note, however, that Katz [53] questions its relevance for designing water strategies, whilst Expósito, et al [54,55] cannot find evidence of the EKC for household water consumption in the municipalities of the Guadalquivir River Basin. Finally, it is important to mention Pastor and Fullerton [56] who warn of the need to carry out a detailed analysis of the time properties of the variables, given that this can condition the use of the most appropriate econometric method.…”
Section: Discussionmentioning
confidence: 99%
“…The core of the Granger test involves establishing a Vector Auto Regression (VAR) model. To conduct a two-variable Granger causality test, at least one of the following two conditions needs to be fulfilled: firstly, both variables are smooth series; secondly, the two variables are characterized by a cointegration relationship [30]. If both prerequisites are unmet, the Granger causality test's conclusions become unreliable.…”
Section: Factor Identification Methods Based On Granger Causality Testmentioning
confidence: 99%