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This study aims to test the compensatory consumption theory with the explicit hypothesis that China's new-rich tend to waste relatively more food.

In this study, the authors use Heckman two-step probit model to empirically investigate the new-rich consumption behavior related to food waste.

The results show that new-rich is associated with restaurant leftovers and less likely to take them home, which supports the compensatory consumption hypothesis.

Understanding the empirical evidence supporting compensatory consumption theory may improve forecasts, which feed into early warning systems for food insecurity. And it also avoids unreasonable food policies.

This research is a first attempt to place food waste in a compensatory-consumption perspective, which sheds light on a new theory for explaining increasing food waste in developing countries.

The purpose of this study is to reveal the dynamics of house prices and sales in spatial and temporal dimensions across British regions.

This paper incorporates two empirical approaches to describe the behaviour of property prices across British regions. The models are applied to two different data sets. The first empirical approach is to apply the price diffusion model proposed by Holly et al. (2011) to the UK house price index data set. The second empirical approach is to apply a bivariate global vector autoregression model without a time trend to house prices and transaction volumes retrieved from the nationwide building society.

Identifying shocks to London house prices in the GVAR model, based on the generalized impulse response functions framework, I find some heterogeneity in responses to house price changes; for example, South East England responds stronger than the remaining provincial regions. The main pattern detected in responses and characteristic for each region is the fairly rapid fading of the shock. The spatial-temporal diffusion model demonstrates the presence of a ripple effect: a shock emanating from London is dispersed contemporaneously and spatially to other regions, affecting prices in nondominant regions with a delay.

The main contribution of this work is the betterment in understanding how house price changes move across regions and time within a UK context.

The purpose of this study is to examine the application of sustainable building design and operation within a university setting to determine its economic efficacy and potential for further university investment.

This study incorporated a life cycle cost analysis (LCCA), simple payback period and discounted payback period calculations to determine the return on investment, including a sensitivity analysis when comparing the energy use and financial benefits of the sustainable design of a multi-use facility at Toronto Metropolitan University with buildings of similar size and use-type.

It was found that there is a positive business argument for Canadian Universities to consider the use of sustainable design to reduce energy use and greenhouse gas (GHG) emissions. A reasonable payback period and net present value within an institutional context were determined using a life-cycle cost assessment approach.

This study was limited to the measure of only a single location. Certain assumptions regarding energy pricing and interest rates and the related sensitivities were anchored on a single year of time, and the results of this study may be subject to change should those prices or rates become significantly different over time. Considerations for future research include a longitudinal approach combined with a more detailed analysis of the effect of use-type on the variables discussed.

For university administrators, the results of this study may encourage institutions such as universities to approach new building projects through the lens of energy efficiency and environmental sustainability.

GHG emissions are a well-proven contributor to global climate change, and buildings remain a significant source of GHG emissions in Canada due to their winter heating and summer cooling loads. As a result, sustainable building design on university campuses can mitigate this impact by optimizing and reducing energy consumption.

Research related to the economic evaluation of sustainable building design on university campuses is generally limited, and this study represents the first of its kind in regard to an LCCA of a sustainably designed building on a Canadian University campus.

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.

This chapter revisits the Hausman (1978) test for panel data. It emphasizes that it is a general specification test and that rejection of the null signals misspecification and is not an endorsement of the fixed effects estimator as is done in practice. Non-rejection of the null provides support for the random effects estimator which is efficient under the null. The chapter offers practical tips on what to do in case the null is rejected including checking for endogeneity of the regressors, misspecified dynamics, and applying a nonparametric Hausman test, see Amini, Delgado, Henderson, and Parmeter (2012, chapter 16). Alternatively, for the fixed effects die hard, the chapter suggests testing the fixed effects restrictions before adopting this estimator. The chapter also recommends a pretest estimator that is based on an additional Hausman test based on the difference between the Hausman and Taylor estimator and the fixed effects estimator.

The purpose of this research was to investigate how Australian public libraries responded to the COVID-19 pandemic in terms of management, planning and communication. The study also investigated operational approaches to the development and implementation of new and adapted models of service and resource delivery.

Utilising a multiple qualitative case study approach, interviews were conducted with 15 Australian public library staff members at three library services – one inner-city, one regional and one remote. Inductive thematic analysis was employed to generate insights into the operations and management strategies employed during the COVID-19 crisis.

Findings suggest that public library managers performed admirably in the face of significant logistical, budgetary and regulatory challenges. Five key themes emerged to represent the ways in which public library leaders responded effectively to the crisis: resourcefulness, flexibility, presence, sensitivity and communication. Results also demonstrate the importance placed on library users’ welfare.

This research represents the first study to focus on the response of Australian public library managers to the significant challenges posed by the COVID-19 pandemic, and to identify the strategies employed by library leaders to respond effectively. In doing so this research provides valuable insights into how public library managers can prepare for future crises.

When scientific information is unclear about the health benefits of foods, people choose to react in different ways. Using a posttest-only control group design, the authors tested how balanced and nonfactual information available on YouTube influences public perception of organic foods.

The authors randomly assigned participants (N = 640) from a southern US land grant university to watch one video: balanced news, nonfactual news, or control. All participants indicated changes in perception about organic foods immediately after the video. The authors analyzed the data using one-way and two-way ANOVA.

The nonfactual news video had the most influence on public perception of organic foods. Results confirmed that the effect of nonfactual information was more for individuals with preexisting beliefs consistent with the message communicated and individuals exposed to average to high levels of health and diet news.

The authors recommend regulatory changes in marketing strategies related to organic foods in the US that encourage balanced information about organic foods rather than promoting credence attributes of organic foods using persuasive information.

The authors findings suggest that, when scientific information about the health benefits of foods is unclear, communication activities should aim to increase healthy skepticism considering the audience's preexisting beliefs and frequency of health and diet news exposure.

This study examines a controversial issue (biotechnology) and how news disputes about misinformation related to the issue impacts individuals' attitudes toward a biotechnology company and their trust in the media source.

This study conducts a 2 (risk: low vs. high) x 2 (pre-existing attitude: anti gene-editing technology vs. pro gene-editing technology) x 2 (dispute message: absent vs. present) x 2 (media source: Buzzfeed vs NYT) factorial online experiment using a Qualtrics panel (N = 1,080) to examine the impact on individuals' attitudes toward a biotechnology company and trust in the media source.

Results indicate that dispute messages enhance attitudes toward the company but decrease trust in media sources. Interaction effects between pre-existing attitude and the dispute message, along with perceived risk and the dispute message, illustrate stark differences in how individuals with favorable vs. unfavorable pre-existing attitudes assessed the company after viewing the dispute message.

This study applies arguments from extant literature about prebunking and debunking misinformation. Specifically, this study investigates how dispute messages, a form of debunking through source derogation, actually impact individuals' perceptions of media credibility and/or their attitudes about the content they are reading. The study findings also reveal new insights regarding the interaction between pre-existing attitudes and perceived risk, as well as how dispute messages interact with each of the aforementioned factors.

International business research is showing an increasing interest in the link between international business and human rights. Despite extensive coverage of corporate social responsibility (CSR) and sustainability, the analysis and discussion of why multinational corporations include human rights in corporate reporting is still in its early stages. This chapter develops an analytical framework on corporate human rights reporting, with special emphasis on international business. The conceptual part of the framework draws on legitimacy theory, stakeholder theory and signalling theory. The analytical part distinguishes between factors inside the corporation and the external environment of business organisations operating internationally.