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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.

The advances in green city growth are widely discussed in extant literature. The benefits of green cities to urban development in recent discussions of sustainability and sustainable development are well documented and cannot be overemphasised. Although a growing study on green building development in developing countries has been advanced in literature, there is a paucity of studies that explore green cities in developing countries. Moreover, evidence of studies that have focussed on green cities development in Ghana is lacking. Because of this identified knowledge gap, the purpose of this study is to establish the indicators/attributes for measuring the level of greenness of cities in developing countries.

A comprehensive literature review was conducted to identify the indicators/attributes for measuring the level of greenness of cities in developing countries. This study has adopted the pragmatism as its undergirding research philosophy and the deductive research approach. In terms of methodological choice, quantitative research strategy was used to collect data from experts in sustainable urban development. The primary data retrieved from this study was analysed using descriptive statistics, relative importance index and one-sample t-test. The reliability and validity of this study were measured with the Cronbach’s alpha test.

This study established eight indicators for measuring green city development: air quality, water, sanitation, land use, health and safety, transportation, energy and building and construction. It was discovered that the development of green cities should enhance air quality, improve water production and supply, improve management in sanitation, promote mixed and integrative land use, maintain the health and safety of city dwellers, reduce the demand for transportation and formalise public transport, adopt renewable and efficient energy technologies and promote sustainable construction and green buildings. These indicators are key to policymaking and implementation of green cities development.

This study focusses primarily on Ghana; however, the findings of this study do not limit the generalisability, as it can be used as an example for other developing countries.

Theoretically, this study adopted quantitative indicators that are reproducible in another geographical context. This study contributively adds to the discourse on sustainability, especially in Ghana, and can be a source of reference to motivate others to conduct further research in related areas. The outcomes of this study will help the local government, policymakers, city stakeholders and industry expertise to gain insights of the overall indicators that underpin green city development.

This paper attempts to posit in literature the foremost appraisal of green city indicators adaptive in Ghana, which could motivate other developing countries to develop their own green cities.

This study employs firm-level data to evaluate how the knowledge economy impacts the financing constraints of businesses across 106 low- and middle-income nations, focusing on the influence of technological transformation on corporate financing choices.

The research centers on privately held, unlisted firms and examines the distinct effects of knowledge at both the within-country and between-country levels using a panel dataset. Rigorous sensitivity and endogeneity analyses are conducted to ensure the reliability of the findings.

The findings indicate that greater levels of the knowledge economy correlate with reduced financing constraints for firms. However, this effect varies depending on the location within a country and across different geographical regions. Firms situated in larger urban centers and more innovative regions reap the most significant benefits from the knowledge economy when seeking external funding. Conversely, firms in smaller cities, rural areas and regions characterized by structural and institutional inefficiencies in knowledge generation experience fewer advantages.

The impact of knowledge exhibits variability not only within and among countries but also between poor and affluent developing nations, as well as between larger and smaller countries. The knowledge effect on firms' access to external finance is influenced by factors such as financial openness and development, educational quality, technological absorption capabilities and agglomeration conditions within each country.

This study aims to promote the idea that social equity is a significant objective that needs to be achieved to attain a smart city and further reveal the current research focus of smart city in relation to social equity. Also, it will propose determinants of social equity for smart city development.

The first part of this study was conducted by reviewing ten existing smart city models and assessing their elements, in a bid to find a relationship between the existing smart city models and social equity. These models were sorts from scholarly publications such as books, journals and other related articles sourced from google scholar and Scopus database. To give more credence to this study, a second aspect of this study was necessary; this was conducted using a bibliometric approach, and the data was gathered from the Scopus database. Keywords such as “smart-city” OR “Digital-city” OR “Intelligent-city” OR “Computer-city” OR “Technology-city” AND “Social-equity” were used for article extraction. VOSview was used to analyse the bibliographic data obtained.

This research revealed that studies that relate, link or discuss the idea that social equity is a significant objective that needs to be achieved to attain a smart city are low considering that only 48 articles were extracted, and most of the studies did not specifically focus on social equity in smart city development. Further findings revealed that the ten reviewed smart city models never linked or discussed the idea of social equity in smart city development. Additionally, this study revealed that emerging countries aiming to develop smart cities, particularly in Africa, are not paying much attention to the importance of creating social equity policies to attain smart cities.

This study revealed a knowledge gap in the study of smart cities in developing countries. Governments of various developing countries can implement the ideas from this study by creating and applying social equity policies to drive sustainable development, which will positively influence smart city attainment.

The contribution of this study is that it promotes the idea that social equity is a significant objective that needs to be achieved to attain smart cities. This study’s further originality and value lie in adopting a bibliometric approach of analysis that has not been used in this form in previous studies.