Search results

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

The structural perspective on China's prospect of democratization has three variants. The first emphasizes the structural requisites for the survival of the authoritarian state. It argues that the conditions, such as the governing capacity of the state and support from the Chinese people that used to sustain the authoritarian state, have deteriorated significantly and the authoritarian state cannot escape a collapse in the near future (Chang, 2001). The second focuses on the structural requisites for democratization. It holds that the rise of the middle class and the emerging spread of education in China will create favorable conditions for the country to head toward democratization (Gilley, 2004). The third stresses the resilience of China's authoritarian regime. It argues that the rise of democratic polity in Europe resulted from the special social structures of the continent in the feudal period. Since China's social structure in its premodern period was quite different, democracy did not become a solution even after the middle class emerged in China. For the same reason, China's political change will be most likely to move toward rule by law rather than democratization in the future (Pan, 2006).

Institutional actors are critical allies for grassroots movements, but few studies have examined their effects and variations within the non-democratic context. This chapter argues that while institutional allies are heavily constrained and unlikely to give open endorsement to grassroot activists, some institutional activists indirectly facilitate movement mobilization and favorable outcomes in the process of advancing their own political agendas. Drawing upon in-depth interviews conducted in 2008 and 2012, I illustrate this argument by examining the Anti-PX Movement – a landmark grassroots environmental movement against a chemical plant – in Xiamen, China. I find that the environmental institutional actors were constrained and divided, yet some still fostered opportunities for movement mobilization and in turn exploited the opportunity created by the protesters to pursue their policy interests, thus facilitating positive movement outcomes. As long as the claims are not politically subversive to the authoritarian rule, this type of tacit and tactical interaction between institutional activists within the state and grassroot activists on the street is conducive to promoting progressive policy changes.

By 2050 there will be 6.9 billion people living in urban areas, accounting for 70% of the global population. The most developed nations will have urbanisation rates as high as 90%. Not only will more people be living in cities, but the largest cities will be getting larger. In their analysis in Chapter 2, Kii and Doi estimate that there may be as many as 17 megacities, with more than 10 million inhabitants, in China by 2050. Even so, the bulk of urban population growth is likely to be in smaller cities.

This chapter reflects on our recent research into China’s soft power in international education, using Confucius Institutes as a case study. It first reveals how we have framed our research in the related field and the methodological issues concerned. It will then analyze the theories and concepts that have been taken as the lenses through which China’s soft power ideas and strategies were compared and contrasted with the theories and/or practices prevalent in the West, while highlighting their implication for the fear of the “China threat.” Finally, we will conclude with the potential areas of further research in the related area of study in the years to come. It is hoped that this chapter will contribute to the development of research in international and comparative education that helps readers to explore in-depth the causality, implication and complication of the “China threat” in the global arena.

This chapter builds on the authors’ research into the internationalization of China’s higher education (HE) as soft power with “Chinese characteristics” (Lo & Pan, 2020). It rethinks the “Chinese characteristics” in contemporary China’s internationalization of HE as soft power, by contextualizing them in the historico-cultural rootedness that legitimizes the sense of Chinese exceptionalism in the Party-state’s global re-emergence. It also sheds light on the tension and paradox therein through analyzing the conflicts generated by the Party-state’s attempts at re-globalizing the Chinese world order alongside the Westphalian system. In addition to integrating the soft-power concepts coined by Joseph Nye (1990) with the dimensional perspectives on the internationalization of HE framed by Jane Knight (1997), this study also puts in China’s perspectives that stand in contrast to, and yet in confluence with, some of the current norms and values being espoused by the West. In so doing, it demonstrates the potentiality of employing comparative lenses that cut across times, spaces and cultures in the research into internationalization of HE as soft power with national characteristics.

To explore income inequality in urban China, this paper investigates disparities between- and within-urban locals and rural migrants from 2002 to 2013, using three waves of the China Household Income Project (CHIP) data. While the existing literature concentrates on the wage disparity between these two groups, our results show that the Gini among the migrants increased by 17.86% between 2007 and 2013 and that among the locals increased by 15.54% from 2002 to 2007. The urban–migrant average income gap decreased during the whole period mainly due to higher growth in migrants’ average income. Estimates based on Mincerian earnings functions for both groups reveal the significant role of the education, occupation and type of contract in determining the within-group inequality. In addition, using a recentred influence function (RIF), we observe that short-term and other types of contracts, duration of the job, in-system ownership, marriage and skill have inequality-enhancing effects for migrants. The variation of skills has a larger impact on the income disparity among migrants than on that among urban locals. The RIF-based Blinder–Oaxaca decomposition of the mean difference of incomes shows that labour market discrimination between the two groups is not significant; however, both pure explained and unexplained differences are significant when applying the RIF decomposition to the variance of the logarithms of incomes. While the type of contract significantly reduces the pure explained difference between migrants and urban locals, occupation has a positive impact on this difference between these two groups. The heterogenity analysis shows that the factors influencing incomes in these two groups are different. We recommend labour market intervention to reduce unreasonable occupational and sectoral disparities, especially in the net inflow provinces, to mitigate urban inequality in China effectively.