4 research outputs found
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Applying conditional process modelling to investigate factors influencing the adoption of water pollution mitigation behaviours
AbstractGiven that much of water resource pollution is behavioural in nature, understanding pro-environmental behaviour as well as the complex determinants of such behaviours is key to designing effective policies aimed at addressing the problem. The limited studies that attempt to explore the topic rely typically on first-generation statistical procedures, often failing to address the complexities of pro-environmental behaviour. We apply conditional process modelling to investigate potential determinants of behaviours aimed at mitigating water pollution—using an extended attitude-behaviour-context model. Results show that knowledge of the sources of water pollution has an effect on attitude towards water resources management. Additionally, situational factors—such as the availability of waste collection bins—influence behaviour in relation to water pollution. These findings suggest the need to deepen awareness on water pollution and to consider situational factors in policy design and implementation.</jats:p
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Do socio-demographic groups report different attitudes towards water resource management? Evidence from a Ghanaian case study
Abstract: Understanding the influence of socio-demographic factors on attitudes towards water pollution mitigation measures could help provide good pointers in the design of effective water resources management policies. Yet, very few studies have examined this in the developing country context. Using quantitative methods to analyse survey data from Ghana, the main goal of the current study was to determine whether socio-demographic groups report different attitudes towards water resource management. Results show that females reported higher pro-environmental attitudes than men (and these differences were statistically significant). Additionally, the employed were found to have reported higher pro-environmental attitudes than students and the unemployed, however, we do not find evidence to support the influence of age and educational attainment. Notwithstanding the relatively limited sample, this work offers valuable insights into the different factors that could influence environmental attitudes. Further research is needed on how sociodemographic variables interact with other psychosocial factors to determine environmental attitudes. This could advance our understanding on how different social groups may respond to policies designed to promote pro-environmental behaviour and reduce water pollution
Recommended from our members
Applying conditional process modelling to investigate factors influencing the adoption of water pollution mitigation behaviours
Abstract: Given that much of water resource pollution is behavioural in nature, understanding pro-environmental behaviour as well as the complex determinants of such behaviours is key to designing effective policies aimed at addressing the problem. The limited studies that attempt to explore the topic rely typically on first-generation statistical procedures, often failing to address the complexities of pro-environmental behaviour. We apply conditional process modelling to investigate potential determinants of behaviours aimed at mitigating water pollution—using an extended attitude-behaviour-context model. Results show that knowledge of the sources of water pollution has an effect on attitude towards water resources management. Additionally, situational factors—such as the availability of waste collection bins—influence behaviour in relation to water pollution. These findings suggest the need to deepen awareness on water pollution and to consider situational factors in policy design and implementation
Recommended from our members
Applying conditional process modelling to investigate factors influencing the adoption of water pollution mitigation behaviours
AbstractGiven that much of water resource pollution is behavioural in nature, understanding pro-environmental behaviour as well as the complex determinants of such behaviours is key to designing effective policies aimed at addressing the problem. The limited studies that attempt to explore the topic rely typically on first-generation statistical procedures, often failing to address the complexities of pro-environmental behaviour. We apply conditional process modelling to investigate potential determinants of behaviours aimed at mitigating water pollution—using an extended attitude-behaviour-context model. Results show that knowledge of the sources of water pollution has an effect on attitude towards water resources management. Additionally, situational factors—such as the availability of waste collection bins—influence behaviour in relation to water pollution. These findings suggest the need to deepen awareness on water pollution and to consider situational factors in policy design and implementation.</jats:p