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Adopting a welfare stance, this paper considers whether the neoliberalist approach which has been adopted by successive UK and Scottish governments will achieve optimal societal outcomes or lead to the under provision of senior housing.

Data collection centred on informed multi-stakeholder groups that have significant experience working in the retirement and senior housing sector. Core techniques included desk-based study of secondary academic, consultancy and policy documents. Primary data collection techniques involved primary participation of three Scottish taskforce meetings and interviews with key stakeholders from across the sector.

The paper concludes that without direct government intervention in the market, the welfare ambition to provide adequate housing for an ageing population will not materialise with significant shortfalls in appropriate stock predicted. To prevent this scenario developing, increased public and private sector interaction is essential.

The research follows the growing concern to provide research that has “real world” relevance. The paper conducts a detailed analysis of the Scottish government's housing strategy and reports on the findings of interviewees with key stakeholders. The paper makes recommendations for greater public/private partnerships.

The Chinese housing market has gone through rapid growth during the past decade, and house price forecasting has evolved to be a significant issue that draws enormous attention from investors, policy makers and researchers. This study investigates neural networks for composite property price index forecasting from ten major Chinese cities for the period of July 2005–April 2021.

The goal is to build simple and accurate neural network models that contribute to pure technical forecasts of composite property prices. To facilitate the analysis, the authors consider different model settings across algorithms, delays, hidden neurons and data spitting ratios.

The authors arrive at a pretty simple neural network with six delays and three hidden neurons, which generates rather stable performance of average relative root mean square errors across the ten cities below 1% for the training, validation and testing phases.

Results here could be utilized on a standalone basis or combined with fundamental forecasts to help form perspectives of composite property price trends and conduct policy analysis.

The Chinese housing market has witnessed rapid growth during the past decade and the significance of housing price forecasting has undoubtedly elevated, becoming an important issue to investors and policymakers. This study aims to examine neural networks (NNs) for office property price index forecasting from 10 major Chinese cities for July 2005–April 2021.

The authors aim at building simple and accurate NNs to contribute to pure technical forecasts of the Chinese office property market. To facilitate the analysis, the authors explore different model settings over algorithms, delays, hidden neurons and data-spitting ratios.

The authors reach a simple NN with three delays and three hidden neurons, which leads to stable performance of about 1.45% average relative root mean square error across the 10 cities for the training, validation and testing phases.

The results could be used on a standalone basis or combined with fundamental forecasts to form perspectives of office property price trends and conduct policy analysis.

With the rapid-growing house market in the past decade, the purpose of this paper is to study the important issue of house price information flows among 12 major cities in China, including Shanghai, Beijing, Xiamen, Shenzhen, Guangzhou, Hangzhou, Ningbo, Nanjing, Zhuhai, Fuzhou, Suzhou and Dongguan, during the period of June 2010 to May 2019.

The authors approach this issue in both time and frequency domains, latter of which is facilitated through wavelet analysis and by exploring both linear and nonlinear causality under the vector autoregressive framework.

The main findings are threefold. First, in the long run of the time domain and for timescales beyond 16 months of the frequency domain, house prices of all cities significantly affect each other. For timescales up to 16 months, linear causality is weaker and is most often identified for the scale of four to eight months. Second, while nonlinear causality is seldom determined in the time domain and is never found for timescales up to four months, it is identified for scales beyond four months and particularly for those beyond 32 months. Third, nonlinear causality found in the frequency domain is partly explained by the volatility spillover effect.

Results here should be of use to policymakers in certain policy analysis.

The authors take a historical perspective and compare office market performance metrics and CMBS loan delinquency rates over the past two years with previous downturns.

What will happen to the office sector in the post-pandemic era? we examine this question from three perspectives. First, the authors discuss the (short-term) risk of commercial real estate investment with high inflation and rising interest rates. If investors want to use CRE as an inflationary hedge, the cash flow must increase enough to counteract growing cap rates given rising interest rates.

As it turns out, the COVID-19 recession has been notably innocuous. Third, the authors focus on medical office space – an emerging investment option for the office sector.

The authors remain somewhat positive (or at least less downbeat) about the future of the office market based on the data they reviewed.

The office market is experiencing an odyssey rather than an exodus, at least in the short run. However, the authors remain cautious and they are monitoring key signs, prepared for the possibility of (r)evolutionary change in the office sector.

The Hull City of Culture 2017 volunteer programme is widely celebrated and remains a key legacy of the designation. A 2019 master's project found that volunteers experienced a multitude of intangible personal benefits from their time volunteering with the programme. Taking an interpretivist stance, this article aims to capture these sentiments; what volunteering has meant to the volunteers themselves and what legacy it has left them, both as individuals and as residents of the city.

To investigate legacy over a longer period, the original qualitative research was supplemented with a similar number of interviews taken in 2021.

The 2019 focus groups were largely positive towards Hull City of Culture, and the effect it had on the volunteers and the city of Hull overall. Participants highlighted various intangible benefits and legacies, namely, personal well-being, perceptions of the city and a sense of community. The world in which the 2021 interviews took place is almost inconceivably different, yet the volunteers' feelings about their time with Hull City of Culture and its later iterations are remarkably similar to the earlier findings. Despite the changing circumstances, they too expressed positivity about the programme and its effect on them individually, and the city more widely.

The continued experience of intangible benefits from volunteering with the programme demonstrates an important legacy of Hull City of Culture 2017.

This paper aims to identify the values antecedents of women’s social entrepreneurship. It explores where and how these values emerge and how they underpin the perceived desirability and feasibility of social venture creation.

Values development across the life-course is interrogated through retrospective sense-making by thirty UK-based women social entrepreneurs.

The findings express values related to empathy, social justice and action-taking, developed, consolidated and challenged in a variety of experiential domains over time. The cumulative effects of these processes result in the perceived desirability and feasibility of social entrepreneurial venture creation as a means of effecting social change and achieving coherence between personal values and paid work, prompting social entrepreneurial action-taking.

This paper offers novel, contextualised insights into the role that personal values play as antecedents to social entrepreneurship. It contributes to the sparse literature focussed on both women’s experiences of social entrepreneurship generally, and on their personal values specifically.