Mortgage affordability and entrepreneurship: Evidence from spatial discontinuity in Help-to-Buy equity loans

Szumilo, Nikodem; Vanino, Enrico

doi:10.1016/j.jbusvent.2021.106105

Cited by 8 publications

(4 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The finding supports Wilson et al's (2023a;2023b) work that indicates rental unaffordability in the U.S., the U.K., and Canada has increased as a result of the COVID-19 pandemic. Given the negative impacts of lasting unaffordability (Pollack et al, 2010;Mason et al, 2013;Gabriel & Painter, 2020;Kirkpatrick & Tarasuk, 2007;Kirkpatrick & Tarasuk, 2011;Moore & Skaburskis, 2004;Newman & Holupka, 2015;Newman & Holupka, 2016;Du & Zheng, 2020;Kacher & Petach, 2021;Szumilo & Vanino, 2021), affordability programming should be a top priority for policymakers. Although policymakers have focused on increasing financial literacy, most programming and research are focused on investment decisions, retirement planning, debt minimization, and overall financial wellbeing as opposed to housing affordability.…”

Section: Discussionmentioning

confidence: 99%

“…Gabriel and Painter (2020) showed that rent burdens are associated with "adverse consequences" for individuals, families, and communities. Specifically, unaffordable housing has been linked to negative health outcomes (Pollack et al, 2010;Mason et al, 2013;Meltzer & Schwartz, 2016), increased crime (Gabriel & Painter, 2020;Kirkpatrick & Tarasuk, 2007;Kirkpatrick & Tarasuk, 2011), homelessness (Moore & Skaburskis, 2004), lower childhood cognitive achievement (Newman & Holupka, 2015;Newman & Holupka, 2016), and stifled economic growth (Du & Zheng, 2020;Kacher & Petach, 2021;Szumilo & Vanino, 2021). Given these negative externalities, the rent burden issue and lack of affordable rental housing were salient economic concerns before the COVID-19 pandemic (Colburn & Allen, 2018;Fernald, 2015;Fernald, 2016;Kabundu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Post-Pandemic Rental Housing Affordability Economics in the U.S., U.K., & Canada

Wilson,

Jogia,

Case

2024

EAL

View full text Add to dashboard Cite

<p class="MsoNormal" style="text-align: justify;"><span style="font-family: 'times new roman', times, serif; font-size: 14pt;">Rental unaffordability is defined as spending more than 30% of a household’s gross income on rent. Post-pandemic inflation and interest rate increases have intensified rental unaffordability. This research examines rental affordability in the U.S., the U.K., and Canada. It also explores the effect of renters’ “affordability knowledge” – defined as the expertise tenants have and use to make economical rental housing choices – on rent expenditure and affordability positioning and compares personal finances, economic perspectives, and demographics based on renters in affordable and unaffordable situations. The results show that nearly two-thirds of the renters studied are in unaffordable rental situations. Interestingly, affordability knowledge was found to reduce rent spent and increase affordability situations. Significant demographic differences were found between those in affordable and unaffordable rental situations, including rent spending, food spending, transportation spending, savings, perceived homeownership likelihood, and age. The research offers important insight into current rental affordability economics, recommendations for policymakers, and opportunities for real estate organizations.</span></p>

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Post-Pandemic Rental Housing Affordability Economics in the U.S., U.K., & Canada

Wilson,

Jogia,

Case

2024

EAL

View full text Add to dashboard Cite

show abstract

“…PC means the ability to self-finance the business and it is another unobserved variable that plays a vital role in anticipating EI (Szumilo and Vanino, 2021). This construct reveals the ability of a person to start his/her new entrepreneurial venture.…”

Section: Literature Reviewmentioning

confidence: 99%

The practical challenges faced by young entrepreneurs: an empirical analysis

Khursheed

Mustafa²,

Fatima³

et al. 2022

JEAS

View full text Add to dashboard Cite

PurposeThis study proposes a new comprehensive model of entrepreneurial intentions (EIs) that enhances the understanding of the crucial entrepreneurial personality traits. This study also examines how entrepreneurial family history, gender and discipline moderate the relationship between the key entrepreneurial personality traits and EIs of university students.Design/methodology/approachThe study introduces a new combination of important entrepreneurial personality traits, theoretically following the theory of planned behaviour (TPB). The data are collected using an entrepreneurial intention questionnaire and analysed with structural equation modelling (SEM) over a sample of 297 university students from Pakistan.FindingsThe findings highlight that one of the notable contributions to assessing EI is the negative impact of foreseeable challenges (FCs), resulting in negative EIs among university students of our sample. The authors also found significant moderating roles of gender, discipline and entrepreneurial family history in strengthening the relationship between entrepreneurial traits and EIs.Originality/valueThe study contributes both to the existing empirical and theoretical literature by examining a key set of entrepreneurial personality traits leading to enhance EIs. The results may also assist academicians to discover new ways for developing entrepreneurial traits among university students.

show abstract

“…e EIS for analyzing the impact of wireless network technology on college students' innovation and entrepreneurship is described in this section. Constructing the evaluation index system of the impact of wireless network technology on college students' innovation and entrepreneurship should follow the principles of scientificity, comprehensiveness, dynamism, and operability [10]. e influencing factors in Section 2.1 are taken as the evaluation index of the system, and the specific evaluation index system is shown in Table 1.…”

Section: Evaluation Index System (Eis)mentioning

confidence: 99%

Quantitative Analysis of the Impact of Wireless Internet Technology on College Students’ Innovation and Entrepreneurship under the Background of “Internet Plus”

Lou

2021

Scientific Programming

View full text Add to dashboard Cite

Under the background of “Internet plus,” the opportunities and challenges that college students face in the process of innovation and entrepreneurship coexist. College students should make full use of the powerful function of the Internet to excavate the huge business opportunities hidden under the background of “Internet plus.” In the context of “Internet plus” of mass entrepreneurship and innovation, the quantitative analysis method is studied in the context of wireless network technology on college students’ innovation and entrepreneurship. This paper proposes a combined weight model and an evaluation model based on genetic fuzzy optimization neural network. This research initially establishes an evaluation index system (EIS) by analyzing the influence factors of wireless network technology on college students’ innovation and entrepreneurship. In addition, EIS is also analyzed by combining the objective weight of each index obtained by the entropy with the subjective weight of each index obtained by the analytic hierarchy process to construct a combined weight model. A genetic algorithm is used to optimize fuzzy optimization neural networks and establish an evaluation index system of wireless network technology based on genetic fuzzy optimization neural network. To minimize the output error, the function of output error is used as the fitness evaluation function to output the score after several iterations. The experimental results show that the evaluation model can determine the importance of the influencing factors of wireless network technology on college students’ innovation and entrepreneurship. It is further evident from the experiments that the proposed model has high accuracy, with the average relative error always less than 1%, which can further improve the effect of quantitative analysis. The proposed model also has a fast convergence speed that can prevent local minima.

show abstract

Mortgage affordability and entrepreneurship: Evidence from spatial discontinuity in Help-to-Buy equity loans

Cited by 8 publications

References 41 publications

Post-Pandemic Rental Housing Affordability Economics in the U.S., U.K., & Canada

Post-Pandemic Rental Housing Affordability Economics in the U.S., U.K., & Canada

The practical challenges faced by young entrepreneurs: an empirical analysis

Quantitative Analysis of the Impact of Wireless Internet Technology on College Students’ Innovation and Entrepreneurship under the Background of “Internet Plus”

Contact Info

Product

Resources

About