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This study aims to document the major underlying forces prohibiting housing development in urban Ghana. Previous studies in Ghana have not empirically examined these constraints, but an empirical examination of these factors would help to formulate proper policies to address the housing shortage problems in Ghana. This paper fills this gap.

Using a purposive sampling technique, the authors surveyed the chief executive officers (CEOs) of private real estate development companies within Accra and Tema with a Likert scale questionnaire to measure the severity of the factors hindering housing development in these areas.

The results show that real estate developers consider the supply problems in housing to be driven mainly by formal and informal institutional factors. A large percentage of the CEOs reported that land tenure arrangements, lengthy procedure involved in securing building permits and process of land acquisition and registration in Ghana were the major factors that significantly affected housing supply. The difficulty in accessing development funds, underdeveloped mortgage market and high interest rates were some of the market-based factors constraining housing development.

This study empirically examines the factors that hinder housing development in Ghana, making a clear distinction between the market and institutional forces. The paper proposes policy recommendations for a more effective and direct government intervention to improve urban housing supply.

The purpose of this paper is to explore the link between mortgage financing and economic development for African countries, as there is a gap in the literature regarding this topic. The development of mortgage markets is important for the overall development of a country. Policymakers and international institutions like the World Bank have been promoting the expansion of Africa’s nascent mortgage markets as a logical stimulus to economic growth and development. Specifically, the authors analyze the link between the size of the mortgage market and the gross national income (GNI) per capita for African countries. They found a significant positive correlation between the size of the mortgage market and GNI per capita. A plausible interpretation is that mortgage financing can induce growth and development.

The authors examine the relationship between mortgage financing and GNI per capita for African countries using the hedonic framework.

The authors found a significant positive correlation between the size of the mortgage market and the level of GNI per capita, as hypothesized for this study.

An economically plausible interpretation is that the availability of mortgage financing leads to a more efficient financial system, which, in turn, produces growth and development.

These findings provide empirical support for the need to pay greater attention to further development and expansion of the emergent mortgage markets of African economies.

There is a gap in the empirical literature regarding this topic with reference to the link between mortgage financing and economic development for African countries.

The purpose of this study is to examine the net effect of golf courses’ proximity on home sale prices in Kern County, California.

A spatial Durbin error model is used with sales price data for 1,693 homes sold in Kern County in the third quarter of 2018. This paper compares 90 different spatial econometric models using Bayesian techniques to produce posterior model probabilities which guided model selection and the number of neighbors to use.

The results show that significant spatial dependence exists in home values in Kern County. Point estimates indicate that homes abutting golf courses are valued at less than those which are not. This study also finds that the farther away from golf courses the average home is, the higher its value.

This study contributes to the existing literature in three dimensions. First, this paper analyzes whether proximity to golf courses impacts home values in Kern County where a study of this nature has not been conducted. Second, the analysis uses transaction data for 2018 which was a period when the sport’s popularity was fading and golf courses closing. Third, Bayesian model comparison techniques are used to select the appropriate model.

The research aims to measure the effectiveness of collaborative learning exchanges transpired through digital tools and technologies (DT&Ts) employed by the mentor universities during the COVID-19 pandemic by conducting an empirical study on undergraduate students in Indian higher educational institutions (HEIs) under the mentorship program based on the corporate social responsibility (CSR) initiative. The pandemic scenario, its impact on the mentor university's social responsibility and the way DT&Ts can assist are investigated in this article.

The interactions with experts and students were conducted to explore the DT&Ts for learning exchanges. Next, structural equation modeling (SEM) was performed to validate the model and perform regression analysis. The quantitative data collection was made through questionnaires during the second deadly wave of COVID-19 that hit India.

The independent variables (IVs) such as the IT infrastructure support (IT_IS), virtual collaborative tools (VCTs) and future-oriented technologies (FOTs) have a significant impact on the CSR learning outcomes (CSR_LOs) of undergraduate students under the mentorship program. However, IV research instruments for innovation could not make a significant effect.

The IVs IT_IS, VCTs and FOTs influence the CSR_LOs, while RII does not have an influential impact.

As the online learning environment is expected to stay at least in a blended form, adequate CSR funding in infrastructure is necessitated to harness the full potential of this important resource, technology. The results of this empirical investigation affirm that IT_IS, VOTs and FOTs significantly impact CSR_LOs during the crisis. The study findings would encourage the mendtor universities and their stakeholders, including the mentee universities, to evolve and create an ecosystem for effective management of these resources to attain positive outcomes. The study findings can guide the mentor universities in managing uncertainties like pandemics and effectively using the earlier-mentioned critical resources for social responsibility. This research also allows the development of future applications adnd models in mentor-mentee universities for social responsibility, post-pandemic transformation and resilience.

The DT&Ts came to the immediate rescue during the pandemic and positively affected collaborative CSR_LOs by the mentor universities, but they have not evolved to a level where offline learning can be replaced entirely. Hence, it can be inferred that a hybrid model is preferable. The study also improves the understanding of how DT&Ts are being harnessed to aid collaborative learning in fulfilling the mentors' CSR in fatal emergencies. The purpose is to equip the education system through mentorship so that universities can sustain, innovate and grow even in trying times. Also, it discusses the dynamics of various DT&Ts for creating a sustainable learning environment and utilizing them to make the teaching prolific and influential.

There is a scarcity of literature regarding the learning outcomes realized through CSR initiatives and collaboration between mentor-mentee institutions. There is a need to understand how these knowledge exchanges continued despite the physical restrictions during the pandemic. In this direction, this study helps to understand how the DT&Ts played a critical role in continuing learning and keeping abreast in a knowledge society from the perspective of resource-based view (RBV) in these precarious situations.

Housing provides constructed space for human activities. Literature indicates that housing impacts wealth, education attainment and health outcomes, among others. Because of its contributions to society, it is essential to develop and implement strategies that address the housing shortage experienced in most cities across the globe. This study aims to unpack the factors affecting housing production in the UK and chart the way forward.

In addressing this study's aim, an interprivitst approach was adopted and semi-structured interviews were conducted with 18 experienced professionals. Data were collected across the four nations of the UK (England, Wales, Scotland and Northern Ireland).

The results indicated that the opportunistic behaviour of stakeholders is one of the main factors affecting housing production in the study area. Also, modern construction methods, collaborative practices, government intervention and affordable housing schemes were identified as key strategies for addressing housing production factors.

This study identified strategies for mitigating housing production issues that provide a focal point to all stakeholders keen on filling the housing shortage gap and improving productivity to channel their resources and effort accordingly.

To the best of the authors’ knowledge, this study is one of the first to empirically analyse the influencing factors on the housing gap in the UK from the perspective of the supply side to provide information that could lead towards closing the said gap.