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To study the spatial layout of urban sports parks, the constraint graph model was used to quantitatively analyze the construction of urban sports parks in China. At the same time, theories on the construction and development of urban sports parks and urban renewal at home and abroad were reviewed. The construction status of urban sports parks in China was systematically studied. Foreign case cities were investigated. Finally, the case cities in our country were discussed. The results showed that in addition to the influence of certain policies and economic factors, the development of sports parks was affected by factors such as urban space development, population size and living distribution, urban culture, regional environmental characteristics and the layout of original sports resources. Therefore, the impact of the above factors should be considered in the development of sports parks and their spatial layout. The layout of the sports park should be balanced to meet the diverse needs of the residents.

The purpose of this study is to improve the computational efficiency and accuracy of fatigue reliability analysis.

By absorbing the advantages of Markov chain and active Kriging model into the hierarchical collaborative strategy, an enhanced active Kriging-based hierarchical collaborative model (DCEAK) is proposed.

The analysis results show that the proposed DCEAK method holds high accuracy and efficiency in dealing with fatigue reliability analysis with high nonlinearity and small failure probability.

The effectiveness of the presented method in more complex reliability analysis problems (i.e. noisy problems, high-dimensional issues etc.) should be further validated.

The current efforts can provide a feasible way to analyze the reliability performance and identify the sensitive variables in aeroengine mechanisms.

To improve the computational efficiency and accuracy of fatigue reliability analysis, an enhanced active DCEAK is proposed and the corresponding fatigue reliability framework is established for the first time.

Continuing economic growth in emerging markets offers large market opportunities to producers and marketers worldwide; however, market failures due to asymmetric information are often seen when high-quality products enter these “new markets” where recognition rates among consumers are low. The use of “geographical origin” labels as quality signals to overcome asymmetric information problem plays an important role. The purpose of this paper is to compare consumers’ perception and willingness to pay (WTP) for different levels of geographic origin labels to provide insights to the strategic use of origin labels in emerging markets.

A consumer survey on geographic labeling for imported dairy products was carried out in Beijing, China in May 2015. Under the “products of European Union (EU)” range, the authors used “product of Ireland” as a case study for the country-specific origin label. Information on consumer demographic, dairy consumption, safety perceptions, knowledge on Ireland and Irish products, as well as WTP for different geographic labeling and product attributes were collected from 307 face-to-face interviews. WTP was elicited using double-bounded contingent valuation method, and estimated with maximum log-likelihood function.

The authors found that consumers are willing to pay premium prices for both of these geographical origin indicators, but the EU label had slightly higher WTP results. However, the controversial situation is that although the EU label has a better chance than the country-specific label in signaling premium quality to Chinese consumers, EU labeling at its best signals an average quality across the EU counties. For premium products with above average quality, using generic EU labeling has a potential drawback to the establishment of product differentiation.

This study is the first to evaluate Chinese consumers’ WTP for EU generic origin label for dairy products in comparison to country-specific origin label. Findings of the study have immediate policy and marketing implications in emerging markets.

Refusing to purchase suboptimal food plays an important role in food waste. However, it is still unclear what factors in the shopping situation will affect consumers' decision to purchase suboptimal food. The purpose of this paper is to identify the situational factors that affect consumers' suboptimal food purchase and provide a basis for designing effective intervention strategies for follow-up suboptimal food sales.

Based on in-depth interviews with 25 Chinese consumers, this study uses the grounded theory to find out the situational factors that influence consumers' purchase of suboptimal food.

These situational factors are divided into nine categories and 21 subcategories. Compared with general situational factors that affect consumers' food purchase decisions, some unique factors and remarkable roles are found. It is found that the channel of information release, store hygiene, salesmen and point-of-sale presentation are more important in influencing consumers' decisions to buy suboptimal food. Based on the findings, marketing suggestions for food retailers are put forward.

This paper fills in the research gaps on understanding the impacts of situational factors on suboptimal food purchase and particularly reveals the effects of face concept on the purchase. The research findings can provide a theoretical basis for subsequent large-quantitative research, and in view of the similarities between Chinese culture and East Asian culture, these findings are valuable not only for the Chinese food retailers but also for the international retailers wishing to enter the Chinese or East Asian markets.

This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.

The study employs the TVP-VAR extension of the spillover index framework to scrutinize the information spillovers among the energy, agriculture, metal, and carbon markets. Subsequently, the study explores practical applications of these findings, emphasizing how investors can harness insights from information spillovers to refine their investment strategies.

First, the CEA provide ample opportunities for portfolio diversification between the energy, agriculture, and metal markets, a desirable feature that the EUA does not possess. Second, a portfolio comprising exclusively energy and carbon assets often exhibits the highest Sharpe ratio. Nevertheless, the inclusion of agricultural and metal commodities in a carbon-oriented portfolio may potentially compromise its performance. Finally, our results underscore the pronounced advantage of minimum spillover portfolios; particularly those that designed minimize net pairwise volatility spillover, in the context of China's national carbon market.

This study addresses the previously unexplored intersection of information spillovers and portfolio diversification in major commodity markets, with an emphasis on the role of CEA.

In this chapter, we investigate whether the option contract can coordinate a supply chain when supply chain members have fairness concerns. Specifically, we consider a supply chain consisting of a manufacturer and a retailer where the two members can be either rational or fair-minded, and explore the condition under which the supply chain can be coordinated using an option contract. We follow the traditional newsvendor model by assuming that the market demand is stochastic with a cumulative distribution function and the retail price is exogenous. Under the option contract, the manufacturer’s decision variables include its option price and its exercise price, and the retailer is to decide its order quantity. We derive the equilibrium results for four different scenarios, that is, (i) both the two members are rational, (ii) the supplier is rational but the retailer is fair-minded, (iii) the supplier is fair-minded but the retailer is rational, and (iv) both are fair-minded. While the option contract can coordinate the supply chain when either of the two members is rational, we also find that when both the two members are rational, the option contract can coordinate the supply chain only under some specific conditions. Furthermore, we investigate whether the two members will suffer the disadvantageous or the advantageous inequality in the equilibrium and find some interesting findings.

Social relationships play an important role in organizational entrepreneurship. They are crucial to entrepreneurs’ decisions because, despite the bleeding-edge technological advancements observed nowadays, entrepreneurs as human beings will always strive to be social. During the COVID-19 pandemic many companies moved activities into the virtual world and as a result offline Social relationships became rarer, but as it turns out, even more valuable, likewise, the inter-organizational cooperation enabling many companies to survive.

This chapter aims to develop knowledge about entrepreneurs’ SR and their links with inter-organizational cooperation. The results of an integrative systematic literature review show that the concept of Social relationships, although often investigated, lacks a clear definition, conceptualization, and operationalization. This chapter revealed a great diversity of definitions for Social relationships, including different scopes of meaning and levels of analysis. The authors identify 10 building blocks and nine sources of entrepreneurs’ Social relationships. The authors offer an original typology of Social relationships using 12 criteria. Interestingly, with regard to building blocks, besides those frequently considered such as trust, reciprocity and commitment, the authors also point to others more rarely and narrowly discussed, such as gratitude, satisfaction and affection. Similarly, the authors discuss the varied scope of sources, including workplace, family/friendship, past relationships, and ethnic or religious bonds. The findings of this study point to a variety of links between Social relationships and inter-organizational cooperation, including their positive and negative influences on one another. These links appear to be extremely dynamic, bi-directional and highly complex.

This chapter contributes to the growing global VAR (GVAR) literature by showing how global and national shocks can be identified within a GVAR framework. The usefulness of the proposed approach is illustrated in an application to the analysis of the interactions between public debt and real output growth in a multicountry setting, and the results are compared to those obtained from standard single country VAR analysis. We find that on average (across countries) global shocks explain about one-third of the long-horizon forecast error variance of output growth, and about one-fifth of the long-run variance of the rate of change of debt-to-GDP. Evidence on the degree of cross-sectional dependence in these variables and their innovations are exploited to identify the global shocks, and priors are used to identify the national shocks within a Bayesian framework. It is found that posterior median debt elasticity with respect to output is much larger when the rise in output is due to a fiscal policy shock, as compared to when the rise in output is due to a positive technology shock. The cross-country average of the median debt elasticity is 1.45 when the rise in output is due to a fiscal expansion as compared to 0.76 when the rise in output follows from a favorable output shock.

In resolution A/RES/74/4, the U.N. Nations General Assembly adopted the Decade of Action to accelerate the achievement of the SDGs by 2030. The Decade of Action calls to improve actual efforts to accomplish the 2030 agenda for governments, civil society, the private sector, and other stakeholders. This call is the last opportunity we have to reach SDG9. Still, unfortunately, the COVID-19 pandemic has severely affected all industrial sectors, which is unlikely to achieve inclusive and sustainable industrialisation by 2030. This chapter illustrates the adverse effects that the construction, manufacturing, and hospitality industries have suffered since the beginning of the COVID-19 pandemic and how they gradually have returned to the new normal. It also shows the case of the industry that could be considered the ‘champion in the covid era’, the high-tech industry. Predominantly in covid times, high-tech firms have been a synonym for technological innovation, which is an absolute necessity to encourage competitiveness in all industrial sectors, mainly in essential activities. Finally, the chapter is closed with an invitation to reflect on the fundamental principle of SDG9, which is sustainable industrialisation, but above all, inclusivity. SDG9 cannot be considered achieved until its benefits are transferred to the countries in the global south.

Research on coping at work has tended to adopt a between-person perspective, producing inconsistent findings on well-being outcomes. This focus on interindividual differences is in contrast to many theories that position coping as process, hence, as an intraindividual process that unfolds over time in response to job stressors and appraisals. The authors propose that focusing more on the within-person coping processes and integrating them with learning perspectives has the potential to advance our understanding. More specifically, coping behavior and well-being can be seen as an outcome of current and past learning processes. In this chapter, the authors discuss three mechanisms that explain how coping processes can produce positive versus negative effects on well-being, and how coping can be integrated into a learning framework to explain these pathways. First, the stress process entails encoding and evaluation of the situation and, as a consequence, deployment of suitable coping behavior. Over and above the efforts that have to be invested to understand the stressful situation, the coping behavior itself also requires time and energy resources. Second, coping behavior likely co-occurs with learning processes such as reflection, exploration, and exploitation. These learning processes require further time and cognitive resources. Third, although coping behaviors and their accompanying learning processes have the potential to drain resources at the within-person level, they can also build up interindividual coping resources such as a broader repertoire and coping flexibility. These between-level differences equip employees to deal with future stressors.