284
Views
2
CrossRef citations to date
0
Altmetric
Articles

Determinants of water conservation practices among opinion leaders: evidence from Kwahu East District, Ghana

, &
Pages 42-58 | Received 22 Jun 2021, Accepted 06 Feb 2022, Published online: 17 Mar 2022
 

ABSTRACT

This paper assesses the drivers of water conservation practices among opinion leaders in a water-scarce district of Ghana. It was found that the majority of the respondents have a positive attitude towards conservation of water and also felt hurt to see water go to waste. The majority do engage in water conservation practices. Age, environmental concern, income, perceived behaviour control, gender, and emotion were important drivers of water conservation practices. Social norm was found to exert no significant effect on water conservation. Policymakers should involve opinion leaders in the promotion of water conservation behaviour.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Paul Adjei Kwakwa

Paul Adjei Kwakwa, Ph.D. is a senior lecturer in Economics with the University of Energy and Natural Resources, Sunyani, Ghana. The author is interested in issues related to sustainable development. His focus has been in the areas of energy conservation, water conservation, energy-economic growth-environment nexus.

Frank S. Arku

Frank S. Arku is a Professor of Development Studies at the Presbyterian University College, Ghana. He has a background in geophysics, physical and human geography and rural political and socio-economic development. His research interests are community participation, rural community revitalization, water and resource management and sustainability planning, within a gender and multi-disciplinary perspective.

Michael Ayertey Nanor

Michael Ayertey Nanor, Ph.D. is a lecturer at the Department of Planning of the Kwame Nkrumah University of Science and Technology. His research areas are development economics, quality of life, urban economics, sustainable development, and machine learning in Social Sciences.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.