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This paper aims to decompose the value effects of green retrofits on commercial real estate. The paper disentangles various sources of value capture mechanisms that can be attained through green retrofit actions and profiles the extent to which green retrofit solutions can be effectively capitalised using transaction evidence from the Munich housing market. The insights offered can help real estate owners and investors during their ex ante analysis of future energetic retrofit investments.

The authors offer their reader both a conceptual framework and the results from an empirical analysis to identify the value effects of retrofits and the associating gains in energy efficiency. The conceptual framework theorises the different value components that a deep retrofit has to offer. The regression analysis includes a multivariate analysis of 8,928 dwellings in the Munich residential real estate market.

This study’s framework disentangles the total retrofit value effect into three components: the capitalisation of energy savings, the exposure to the value discount because of stricter standards and the value uplift because of indirect benefits (health, employee satisfaction, marketing etc.). The regression results indicate that the value gains because of energy efficiency improvements are in the range of 2.4–7.4%, while the indirect benefits and reduced exposure to stricter standards amount to another 3%.

While numerous studies have investigated the upside value effects of energy efficiency in the real estate sector, there is scant academic research which has sought to evidence the value of green retrofit solutions and the extent to which this can be capitalised. Instrumentalising the various value effects of energetic retrofit that have been identified is not straightforward. At the same time, inadequate value capture of energetic retrofit effects could delay intervention timelines or aborting of proposed retrofit actions which should be of primary concern to policymakers and stakeholders tasked with the decarbonisation of real estate assets.

Purpose – To analyse the effect of corporate real estate ownership on the stock performance of firms active in the international retail sector. Design/methodology/approach – A sample of 454 retail companies is separated into three geographical regions and six different sub‐sectors. We measure the corporate real estate holdings using balance sheets information and link these to the risk and return characteristics of the individual firms. Findings – We find that corporate real estate ownership varies greatly across subsectors. This variation is explained by differences in location and customisation demands of real estate. Retailers for which the micro‐location of real estate is a critical value driver tend to own more of it. In general, corporate real estate ownership for retail companies is associated with a strong relative performance, which contrasts markedly with the negative performance effects found for other industrial sectors. Research limitations/implications – Although we include as many firms as possible in our sample, we are still confronted with sample size limitations while performing sub sample comparisons. Practical implications – Our results show how owning real estate instead of renting it will impact the long run profitability of retailers. Originality/value – Where most of the extending literature focuses on sketching the impact of real estate ownership using theory and isolated cases, we no offer numerical proof based on a international dataset.

This paper aims to explore similarities and dissimilarities between facilities management (FM) and corporate real estate management (CREM) regarding its history and key issues, and whether the similarities may result in a further integration of FM and CREM.

The paper is based on a review of FM and CREM literature, seven interviews with experienced academics and consultants and the long experience of the author as a researcher and teacher in accommodating people and activities.

Both FM and CREM aim to support primary business processes by aligning the physical resources of organisations to the organisational strategies in order to contribute to organisational performance and to add value to the organisation. Efficiently and effectively supporting the primary activities and business purposes are key issues. Dissimilarities consider the focus on facilities and services (FM) versus that on buildings and real-estate portfolios (CREM), as well as a shorter time frame and high flexibility of facilities (FM) versus a long life cycle and rather static buildings (CREM). In spite of the differences, it is expected that both disciplines will be more integrated in the future.

The selection of key topics and key publications may be biased by the personal knowledge and European perspective of the author and the input from seven expert interviews.

The common body of knowledge of FM and CREM may be used to improve both professions and disciplines and may result in a more integrated approach of facilities and real estate management (FREM).

This paper combines insights from two related disciplines with different histories and focus points, and explores what they have in common and can learn from each other.

Research impact has taken on increased importance at both a micro- and macro-level and is a key factor today in shaping the careers of real estate researchers. This has seen a range of research impact metrics become global benchmarks when assessing research impact at the individual academic level and journal level. Whilst recognising the limitations of research impact metrics, this paper uses these research impact metrics to identify the leading research impact researchers in real estate, as well as the leading real estate journals in the real estate impact space. The nexus between research quality and research impact is also articulated. As well as focusing on research quality, strategies are identified for the effective incorporation of research impact into a real estate researcher's agenda to assist their research careers; particularly for Early Career Researchers in real estate.

The research impact profile of over 150 real estate researchers and 22 real estate journals was assessed using Google Scholar and Publish or Perish. Using the research impact metrics of the h-index, total citations and i10, the leading high impact real estate researchers as well as the high impact real estate journals are identified.

Based in these research impact metrics, the leading real estate researchers in impactful real estate research are identified. Whilst being US focused, there is clear evidence of increasing roles by ERES, AsRES and PRRES players. The leading real estate journals in the impact space are identified, including both real estate-specific journals and the broader planning/urban policy journals, as well as being beyond just the standard US real estate journals. Researcher career strategies are also identified to see both research quality and research impact included as balanced elements in a real estate researcher's career strategy.

With research impact playing an increased role in all real estate researchers' careers, the insights from this paper provide strong empirical evidence for effective strategies to expand the focus on the impact of their real estate research agendas. This sees a balanced strategy around both research quality and research impact as the most effective strategy for real estate researchers to achieve their research career goals.

Research impact has taken on increased importance globally and is an important factor in shaping real estate researchers' careers. Using research impact metrics, this is the first paper to rigorously and empirically identify the leading research impact players and journals in real estate, as well as identifying strategies for the more effective inclusion of impact in real estate researchers' agendas.

The purpose of this paper is to provide evidence for the ongoing significant underpricing of European property IPOs.

The paper provides recent evidence on underpricing for a comprehensive data set of 105 IPOs of European property companies. It starts with an overview of evidence and explanations for the underpricing of property IPOs and evidence for the cyclical nature of IPO activity. It then goes on to describe the methodology and data collection process. The results on initial returns are summarised.

The paper finds that the current IPO market for property shares has been shown to be hot according to common definitions. Additionally, it is safe to say that the hot property securities market has caused to some extent a hot IPO market with property indices averaging 10.69 per cent during the 100 days prior to the IPO compared to 4.65 per cent for the general equity market indices. However, the recovery in Western European property markets and lack of quality property stock in Eastern European countries has created a large financing need for property companies which can be met by going public. Thus, supply side aspects are more likely than market‐timing characteristics to be the major driver behind the current hot IPO market.

The paper provides evidence for an ongoing significant underpricing of European property IPOs and offers an explanation for why it is appropriate to classify the property stock market as a hot market.

This paper focuses on Taiwanese‐funded manufacturing companies operating in mainland China to analyze the factors affecting funding decision‐making before and after initial public offering (IPO).

This research investigates the impact and usefulness of various paths in the data system by using the structural equation modeling (SEM) to examine how the overall economy aspect and the basic aspect before IPO affect the initial returns (IRs) during the IPO and the debt ratio (DR) volatility after listing.

The results show that the IR, percent change of stock index, and exchange rate volatility before IPO are negative associated with the DR after IPO. The age of IPO companies is positive associated with the DR after IPO. This research also finds that the interest rate volatility before and after IPO have no direct effect upon companies' financial strategies after IPO, but may indirectly affect companies' financial strategies after IPO through the IRs, which conform with the market information feedback hypothesis proposed by van Bommel and Vermaelen.

This paper investigates Taiwanese‐funded traditional manufacturing companies in mainland China. The paper obtains the sample from the Taiwan Stock Exchange from 1990 to 2005; electronic companies and samples lacking complete data are eliminated. Finally, the sample consists of 122 companies from traditional manufacturing sectors. The results may be applied to companies not from high‐tech sectors and emerging markets only. The incentive of debt financing would be lower for IPO companies with high IRs, percentage changes of stock index, and exchange rate fluctuation before listing. The paper suggests further research can investigate IRs for establishing an optimal capital structure to minimize financing costs and appreciate company value when choosing financing strategies. The new pubic companies will infer the IR and future capital structure through market interest before listing. It suggests future research may be directed at companies from financial and high‐tech sectors, and may apply the methodologies to developed economies.

It is suggested that IPO companies may closely examine to determine the performance of stock market, tendencies of exchange rate movement, as well as IRs in order to establish an optimal capital structure to minimize financing costs and appreciate company value. Besides, the new pubic companies will infer the IR and future capital structure through market interests before listing.

This research implicated that IPO companies should fully understand the stock market circumstance and exchange rate volatility tendencies. Then, the new pubic offering companies will be able to infer the IR and future capital structure through market interest to judge relative financing costs of manufacturing companies.