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The purpose of this paper is to examine the factors that encourage households’ source separation behaviour in Accra and Tamale Metropolises in Ghana.

Using a cross-sectional design, 855 households of Ghana were interviewed based on the theoretical framework of the theory of planned behaviour (TPB). The ordered probit regression model was employed to examine the factors that influence households’ source separation intention.

The results indicated that educational attainment of head of household, total income of household, occupation type of household head, information, past experience with source separation, inconvenience in terms of time, space and availability of formal source separation scheme, attitude, subjective norm and the location of the respondents significantly predicted households’ solid waste separation intentions.

The cross-sectional design does not determine causality but an association. Thus, future studies should examine actual household waste separation behaviour by using the experimental design to test the TPB model.

To promote solid waste separation at source, the public should be educated and provided with solid waste separation schemes that are efficient and compatible with households’ preference.

This study was partly motivated by the fact that despite the benefits associated with source separation, little attention has been given to formal source separation in Ghana. Moreover, there are limited studies on source separation behaviour in Ghana using the TPB as the theoretical framework.

This paper aims to examine the perceptions and experiences of climate change by local farmers in the Northern Savannah zone of Ghana. Although recent scholarship shows that local people’s perceptions of climate change is necessary for devising strategies to deal with the problem, only a few researchers have examined local knowledge of climate change in Africa.

Primary data were collected from six rural communities in the Northern Savannah zone of Ghana, using a questionnaire survey on a sample of 530 farmers, in-depth interviews and focus group discussions. Multinomial logistic regression was used to analyse variations in experience and perception of climate change.

A majority of the farmers have noticed rising temperatures and declining rainfall. Their observations largely correspond with the evidence of changes recorded by weather monitoring stations. The perception of climate change is associated with locality of residence, gender and ownership of radio. The impacts of climate and variability include declining crop output, food insecurity and water stress. Respondents attributed changes in climatic parameters to economic activities and spiritual factors. It is recommended that environmental managers should actively involve local farmers in the design and implementation of policies to control climate change and variability.

The methodology used demonstrates how multinomial logit models can be used to investigate perceptions of climate change. The research findings also provide very useful information that can be relied upon to design policies to deal with climate change and variability in Ghana.