Domestic water improvement behaviour
The probability determinants and policy implications
Bibliographic Data
| ID | 21697022 |
|---|---|
| Authors | Anthony Amoah (0000-0001-7920-4572, University of Environment and Sustainable Development), Rexford Kweku Asiama (0000-0002-3530-2549, Department of Economics, Central University, Accra, Ghana), Kofi Korle (0000-0001-6501-4452, Department of Economics, Central University, Accra, Ghana), Edmund Kwablah (0000-0003-3384-0703, Department of Economics, Central University, Accra, Ghana) |
| Year | 2021 |
| Volume | 23 |
| Issue | 4 |
| Pages | 880-896 |
| Publication date | 2021-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Water Policy (JOURNAL) |
| Journal identifiers | ISSN: 1366-7017 • E-ISSN: 1996-9759 |
| Publisher | IWA Publishing (PUBLISHER • GB) |
| DOI | 10.2166/wp.2021.056 |
| OpenAlex | W3185129392 |
| Language | EN |
| Citations received | 5 |
| References cited | 26 |
Although water is important for human livelihoods, access and use of improved domestic water for households in most developing countries is still a major problem. Households adopt several domestic water improvement mechanisms to improve the quality of their water before consumption. However, the drivers of the probability to engage in this behaviour have not been adequately explored in developing countries. Therefore, this study investigates the factors that determine the probability of choosing to improve domestic water quality before consumption, with data from a household survey implemented in Ghana. Using the Logit econometric model with its associated margins, this study shows evidence that environmental knowledge, age, gender and wealth are key drivers of the probability of engaging in a water improvement behaviour. Based on the identified drivers, practical lessons are discussed to inform policy decisions on the quality of water supply
Agriculture · Business · Developing country · Econometric analysis · Econometric model · Econometrics · Economic growth · Economics · Environmental economics · Geography · Livelihood · Logit · Public economics · Survey data collection · Water quality · Water supply · Child Nutrition and Water Access · Economic and Environmental Valuation · Engineering · Water resources management and optimization · Environmental Engineering
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |