Abstract:
The general objective of this study is to explore the role of policy and gender implications in
driving environmental sustainability in Cameroon, focusing on cities like Bamenda, Douala, and
Yaounde. The research was guided by the following specific objectives; To assess the existing
environmental policies and regulations in Cameroon, with a focus on urban planning and waste
management, to examine the gender dimensions of environmental sustainability, including
women's roles, responsibilities, and access to resources in urban environmental management, to
identify the challenges and barriers faced by policymakers and stakeholders in implementing
sustainable environmental practices in Bamenda, Douala, and Yaounde and to determine the
relationship between policy interventions and gender implications and environmental
sustainability. The research employed both primary and secondary data. Primary data was
collected by the use of questionnaires while secondary data was collected using secondary data
collection sheet. The analysis and interpretations of the research was based on the perspectives
offered by the respondents. The researcher solicited individuals to thoroughly evaluate the
instruments with respect to their face-to-face and content validity. The test-retest methodology was
utilized in order to ascertain the reliability of the measurements. The Cronbach's coefficient was
employed to evaluate the reliability of the instruments. A test value of 0.7 was deemed
appropriately elevated, hence signifying the dependability of the instruments. The application of
concurrent triangulation was utilized to augment the study's trustworthiness. Primary data was
collected using a structured questionnaire, and descriptive statistics was employed to evaluate the
data. Therefore, inferential analysis and Pearson's correlation analysis was employed to ascertain
the magnitude of the relationship between the independent variable and dependent variables. In
order to evaluate the reliability of non-numerical instruments, a detailed interview approach was
utilized. The examination of quantitative data entailed the application of descriptive and inferential
statistical analyses, in addition to the presentation of results using tables and figures. Descriptive
statistical tests comprise several measurements, including percentages, frequencies, and counts,
which are used to summarize and describe data. On the other hand, inferential statistical tests
involve the application of multiple regression, a statistical technique used to examine relationships
and make predictions based on a set of independent variables. The examination of qualitative data
entails the use of thematic analysis methodologies, leading to the communication of outcomes in
a narrative structure supplemented by direct quotations.