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Focuses on the estimation of the contribution of the hotel industry to Hong Kong’s gross domestic product (GDP) and an analysis of the factors influencing the hotel industry’s recent and likely future contribution to the GDP. The investigation also covers a method of speeding up the calculation of the hotel industry’s contribution to GDP. It has been found that the hotel industry constituted about 1 per cent of the GDP, and the value added per capita in the hotel industry’s work force was close to the overall average. The research further estimates that the cumulative loss in the hotel industry’s GDP due to the recent Asian financial crisis and the 1997 handover issue has reached HK$28.8 billion. The adjusted short‐term forecast predicts that the value added contributed by the local hotel industry will be approximately HK$54,361 million by the year 2000.

This chapter explores the issues in estimating the greenhouse gas (GHG) emissions from the tourism industry and related activities in Australia. A production-based approach is employed and its rationale is explained. The scope of tourism consists of the economic activities of tourism-characteristic and tourism-connected sectors as defined in the Australian Tourism Satellite Account (TSA). The GHG emissions have been estimated for 2003–04, the latest year for which detailed industry GHG emissions data are available in a form suitable for this type of estimate. Tourism's GHG emissions are compared with other industries in the Australian economy. The policy implications of the results are discussed. It should be possible to adopt a broadly similar method for any destination with a TSA, enabling tourism stakeholders to play an informed role in assessing appropriate climate change mitigation and adaptation strategies for their destination.

Large cultural heritage datasets from museum collections tend to be biased and demonstrate omissions that result from a series of decisions at various stages of the collection construction. The purpose of this study is to apply a set of ethical criteria to compare the level of bias of six online databases produced by two major art museums, identifying the most biased and the least biased databases.

At the first stage, the relevant data have been automatically extracted from all six databases and mapped to a unified ontological scheme based on Wikidata. Then, the authors applied ethical criteria to the results of the geographical distribution of records provided by two major art museums as online databases accessed via museums' websites, API datasets and datasets submitted to Wikidata.

The authors show that the museums use different artworks in each of its online databases and each data-base has different types of bias reflected by the study variables, such as artworks' country of origin or the creator's nationality. For most variables, the database behind the online search system on the museum's website is more balanced and ethical than the API dataset and Wikidata databases of the two museums.

By applying ethical criteria to the analysis of cultural bias in various museum databases aimed at different audiences including end users, researchers and commercial institutions, this paper shows the importance of explicating bias and maintaining integrity in cultural heritage representation through different channels that potentially have high impact on how culture is perceived, disseminated, contextualized and transformed.

This study examines the carbon emissions of Australia’s agriculture, forestry and fishing sectors from a consumption perspective to develop effective policy frameworks. The objective is to identify key supply chains, industries and products contributing to these emissions and provide recommendations for sustainable development.

A multiregional input-output lifecycle assessment was conducted using the Australian Industrial Ecology Virtual Laboratory (IELab) platform to disaggregate sectors and enable benchmarking against other economic sectors.

In 2018, the “agriculture, forestry, and fishing” sector was responsible for 12.15% of Australia’s carbon footprint. Major contributors included the “electricity, gas, water, and waste” category (26.1%) and the sector’s activities (24.3%). The “transport, postal, and warehousing” sector also contributed 18.4%. Within the industry, the agriculture subsector had the highest impact (71.3%), followed by forestry and logging (15%) and fishing, hunting and trapping (7.6%). Aquaculture and supporting services contributed 6.1%.

The principal constraint encountered by the present study pertained to the availability of up-to-date data. The latest accessible data for quantifying the carbon footprint within Australia’s agriculture, forestry and fishing sector, utilizing the Input-Output analysis methodology through the Australian Industrial Ecology Virtual Laboratory (IELab) platform, about 2018.

The findings of this study provide policymakers with detailed insights into the carbon footprints of key sectors, highlighting the contributions from each subsector. This information can be directly used to develop effective emission-reduction policies, with a focus on reducing emissions in utility services, transport and warehousing.

The study, by raising public awareness of the significant role of industrial agricultural methods in Australia’s carbon footprint and emphasizing the importance of renewable energy and sustainable fuels for electricity generation and road transport, underscores the urgent need for action to mitigate climate change.

This study stands out by not only identifying the most impactful industries but also by providing specific strategies to reduce their emissions. It offers a comprehensive breakdown of specific agricultural activities and outlines mitigation strategies for utility services, agricultural operations and transport, thereby adding a unique perspective to the existing knowledge.

The purpose of this paper is to estimate the value of a statistical life (VSL) in China using the hedonic wage model, and to explore the regional difference in VSL within the country.

Using the hedonic wage regression, this paper estimates the compensating wage differential for incremental job mortality risk among Chinese workers. The implied VSL is derived for China and its different regions. The data is from the 2005 China inter‐census population survey, consisting of 1.3 million urban and rural workers. The authors also made important improvement in the model specification to explicitly address the missing variable issue in the previous studies.

The paper results indicate that the industry mortality risk has a significant impact on the wage rate. The implied VSL is 1.81 million RMB, a value substantially higher than previous estimates. The results also suggest a sizable urban‐rural difference, with the urban VSL being 4.3 times higher than the rural estimate. The strong urban‐rural inequality of income could be attributed to the segregation between the urban and rural labor markets.

The paper findings indicate the importance of reforming the current workers' compensation standard and improving the institutional environment, as well as enhancing the labor protection in the rural labor market.

This paper is the first attempt to estimate the value of life in China using the census based data. The paper results contribute to the growing literature in obtaining comparable VSL estimates in the developing countries.

The increasingly vociferous criticism of the fast food industry is being paralleled by a growing interest in Slow Food. This case study outlines the origins of the Slow Food movement in Italy in the mid 1980s and describes its spread and growth since then. A simple examination of the movement’s characteristics and activities reveals that, while many of its members seek to celebrate the simple pleasures of eating and drinking local produce and share a series of homespun philosophies, the movement itself has ambitious and potentially far reaching goals. The case study then goes on to explore some of the issues raised by the movement and concludes that while Slow Food provides a valuable contrast to the seemingly all powerful fast food industry it seems unlikely to be able to challenge the power of that industry or to promote widespread changes in the modern world’s eating habits.

This study aims to investigate the relationship between university–industry collaboration (U-I-C) in research and development (R&D) and quality management and explore how the relationship is mediated by innovation.

Based on panel data consisting of 109 countries spanning over a five year period (2013-2017) this study investigates, through structural equation modelling, how this relationship is mediated by innovation.

The main finding is that there are positive significant direct effects between U-I-C and innovation and between innovation and international organization for standardization (ISO) 9001. Furthermore, the strength and significance of these relations are highly affected by the classification of income in these countries, which ranges from high and upper-middle to lower-middle categories. This paper concludes that countries in the high-income category have higher achievement in U-I-C in R&D, innovation and ISO 9001 when compared to the upper and lower-middle-income categories.

This paper demonstrates in the empirical study the value of collaboration in R&D between government, industry and academia, as it can encourage scientific research and contribute to quality management and innovation. This research is one of the very few studies to assess the country’s income classification effect on U-I-C in R&D, innovation and ISO 9001. It is recommended that more research is conducted on how countries not ranked in the high-income category could benefit from U-I-C in R&D to enhance innovation and quality management.

This paper presents the findings from an Objective 4 research project funded through the European Social Fund. A total of 60 innovative technology based SMEs in the Aberdeen area agreed to take part in structured interviews which addressed a broad range of strategic issues. Information was gathered on the knowledge exchange practices utilised by these companies for example seminars, co‐operative working arrangements and in‐house training. Many other sources of learning such as project reviews, practical experience and brainstorming meetings were also discussed. Although the 60 companies taking part in this research have many processes in place which can aid organisational learning, it is unclear how conscious they are of the value of these processes. The sample companies are moving through a learning cycle, akin to that developed by Kolb, by reviewing and acting on learning experiences. However there are considerable differences in the time invested in this process. Few firms are translating their learning experiences into documented format to ensure that knowledge is available to all.

This study aims to create the causal relationship between transportation behavior to Karimunjawa, the number of tourists and the amount of CO2 produced; calculate the reduction of CO2 emissions from the transportation to Karimunjawa based on several proposed policy scenarios; and formulate the managerial implication and recommendation to support the implementation of several proposed policy scenarios.

This study develops a system dynamics‐based model by using three sub-systems, i.e. “the number of tourist sub-system,” “the switching behavior of tourist travel sub-system” and “the CO2 emission sub-system.”

The simulation results have shown that, under the current situation, tourist travel behavior should be changed to maximum condition to get the minimum CO2 emission. Improvement of the behavior of tourist in selecting the mode of transportation and the departure point of mini-tour bus and ferry are an effective way to reduce the CO2 emission.

This study only considers limited variables as the driver of the level of change of the capacity of Karimunjawa and the road as well as the variables as the driver of tourism growth. This study only focuses on CO2 emission from the direct impacts of tourist travel; this study does not consider the indirect impact of tourism activity on CO2 emissions. International air travel is not included in the present study.

From a managerial perspective, this study demonstrates that change in the tourist travel behavior is generally not effective in triggering CO2 emission reduction, unless it is accompanied by the strict restriction policy related to the tourist route.

This study has the potential to raise societal awareness that the causality of tourist growth and CO2 emissions should be seen as the impact of tourist travel behavior. In this case, to modify the travel behavior, tourist needs to change their mode of transportation to more sustainable transportation.

This paper intends to fill the literature gap of the effect of tourism growth from two perspectives, namely, tourist travel behavior and environmental. The modeling of tourist transport and CO2 emission will provide an overview of the selection of the problem-solving mode for tourist transport that can give a significant contribution to the greenhouse gas emissions reduction to the environmental.