The purpose of this study is to develop a framework to guide green cities development in developing countries. The study adapted and validated indicators that can be adopted, to predict, estimate, depict and measure green city development in developing countries. In using a covariance-based structural equation model (CBSEM), the study developed a framework for green cities development in developing countries using Kumasi city (Ghana) as a case study.
To test the proposed framework, a quantitative methodology was used, in which, data was collected using research questionnaires that targeted a sample of 200 green city experts. In total, 154 useable questionnaires were retrieved, representing a response rate of 77%. The confirmatory and exploratory factor analyses were adopted in a CBSEM.
The indices reported were indicative that the model/framework is a good fit for the data. This points to the direction that the model for measuring green city development was statistically significant and acceptable. The results of the confirmatory factor analysis revealed a robust fit of the indices, as they met the standardised cut-off points and as such the model fits the data.
This novel research is one of the few studies investigating green cities development in Ghana which could serve as a lesson for other developing countries. The proposed green city framework will serve as a guide to stakeholders in identifying the key indicators/factors that are critical to green city development in developing countries, especially Ghanaian cities.
This study proposed a green city framework to guide the development of green cities based on the local context of Ghana.
