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Incentives are effective at enhancing productivity, but research also suggests that performance incentives can have “unintended negative consequences” including increases in hazard/injuries, increases in errors, and reduction in cooperation, prosocial behaviors, and creativity. Relatively overlooked is whether, when, and how incentives can be designed to prevent such negative consequences. The authors review literature in several disciplines (construction, healthcare delivery, economics, psychology, and [some] management) on this issue. This chapter, in toto, sheds a generally positive light and suggests that, beyond productivity, incentives can be used to improve other outcomes such as safety, quality, prosocial behaviors, and creativity, particularly when the incentives are thoughtfully designed. The review concludes with several potential fruitful areas for future research such as investigations of incentive-effect duration.

This chapter aims to investigate and interpret China’s educational aid by analyzing its history, philosophies, and practices in Africa. The study is based on review and analysis of governmental documents, reports, academic papers, and news by Chinese and foreign scholars on China’s aid, particularly educational aid to Africa. The analysis unveils three transformations of China’s aid “from pro-ideology to de-ideology,” “from single area to multiple areas,” and “from pragmatic economy driven to sustainable and humane economy focused” in Africa. Meanwhile, it indicates a continuity of the philosophy of solidarity, morality, and reciprocity in China’s South-South cooperation with African educational development.

The analysis also shows China’s educational aid does not match well with the framework of the Western donors. China, under the FOCAC framework, is devoted to higher education cooperation, human resources training program, scholarship, and Chinese language education with African partners. With the growth of its economic and political influence, China will play multiple roles as the biggest developing country and as an active promoter and provider for South-South cooperation in the negotiation and construction of the post-2015 agenda. Nevertheless, we assume China will keep a pragmatic higher education cooperation with its developing country partners to inclusively link it with business, technology transfer, and people-to-people exchange.

This study delivers a comprehensive review and analysis of paradigm shift, philosophy, mechanism, and practice of China’s educational aid to Africa to fill up the literature gap in this field. It also timely presents China’s stance toward discussion on the post-2015 agenda.

Since the early 2000s, China has been actively promoting school collaboration to narrow down educational gaps between schools to achieve inclusive and quality education for all. Among the reforms, building education groups has become one of the most widely adopted approaches for school improvement. This chapter aims at visualizing a hybrid model of school collaboration formulated by both hierarchist and egalitarian approaches in the Chengdu City of China. It starts with policy review on the construction of education groups for education improvement in China to interpret how social cohesion and regulation are constructed at policy level to promote school collaboration. Through data collected from education groups in District A of Chengdu, it then provides an analysis of the practice of improving education quality through promoting education groups among public schools in this province. The study reveals top-down policy initiatives, bottom-up school autonomy, and a shared responsibility for constructing quality education for all are key factors which enabled education groups to contribute to school improvement. The research also reveals how a lack of policy coordination and limited shared value and trust within education groups have become barriers to this reform. It concludes by discussing possible solutions for further promoting a sustainable school collaboration based on experiences of some ongoing practices at school level.

Despite children’s academic excellence in East Asian countries, school education in this region faces a range of challenges to build inclusive and quality education for all. This chapter aims at examining how these challenges occur and what actions have been taken to deal with them. By focusing on China, Japan, and the Republic of Korea, the chapter first reviews reforms of school education since the 1990s in these countries. The subsequent sections then present educational disparity and a new mode of teaching and learning in these countries. It concludes by addressing that East Asian countries must explore more common ground for building a more collective sense and identity to share responsibility for building a resilient, inclusive and sustainable world through global citizenship education and education for sustainable development.

This study is designed to identify the policy shift on migrant children's11There are various definitions of migrant children in urban China. In this research, migrant children refer to the children from rural areas who have resided with their parents at the urban areas for at least six months without local household registration status. education at national level in urban China22With the rapid socioeconomic development and urbanization in China, the definition of urban China is changing. In this research, urban China refers to the major cities in China, such as Beijing, Shanghai, Guangzhou, Tianjin, Chongqing, and so forth. during the past decades. Meanwhile, it is expected to explore the policy limitations reflected by the practice at school level regarding accommodating migrant children's education.

This study is conducted through policy review regarding education for migrant children and analysis of data collected through questionnaires and interviews at one public junior high school in Beijing.

This study identifies a positive change of involving migrant children in urban public schools. However, there is a need for flexible mechanism that can fully accommodate various needs regarding migrant children's education in urban public schools.

The study argues the necessity of a multipartnership for establishing a sustainable public education system for accommodating migrant children education in urban public schools.

Being different from other research on the same issue in urban China, this study leads a new round of discussion on the quality education for migrant children.

No carbon gas is released into the atmosphere in electricity production with wind energy. Therefore, this type of energy is significantly environmentally friendly. On the other hand, thanks to wind energy investments, a country can produce its own energy. This reduces the country’s foreign dependency on energy. Due to these positive aspects, increasing wind energy investments is very important for both the social and economic development of the country. The aim of this study is to define the most appropriate government support to improve wind energy investments. In this context, four different criteria are defined in this regard by making a detailed literature review. In the analysis process, fuzzy AHP methodology is considered. Within this framework, the comparative evaluations of three different experts are obtained. The findings indicate that providing loans with low-interest rate is the most appropriate government support for the wind energy investors. Additionally, it is also defined that tax deduction is another important issue for this purpose. However, it is also identified that appropriate location supply and purchase guarantee of the product produced have lower importance in comparison with the others. It is strongly recommended that governments should provide loans to the wind energy investors. This strategy can minimize the problem of high initial cost so that it can be much easier to attract the attention of the investors.

This research navigates the confluence of data analytics, machine learning, and artificial intelligence to revolutionize the management of urban services in smart cities. The study thoroughly investigated with advanced tools to scrutinize key performance indicators integral to the functioning of smart cities, thereby enhancing leadership and decision-making strategies. Our work involves the implementation of various machine learning models such as Logistic Regression, Support Vector Machine, Decision Tree, Naive Bayes, and Artificial Neural Networks (ANN), to the data. Notably, the Support Vector Machine and Bernoulli Naive Bayes models exhibit robust performance with an accuracy rate of 70% precision score. In particular, the study underscores the employment of an ANN model on our existing dataset, optimized using the Adam optimizer. Although the model yields an overall accuracy of 61% and a precision score of 58%, implying correct predictions for the positive class 58% of the time, a comprehensive performance assessment using the Area Under the Receiver Operating Characteristic Curve (AUC-ROC) metrics was necessary. This evaluation results in a score of 0.475 at a threshold of 0.5, indicating that there's room for model enhancement. These models and their performance metrics serve as a key cog in our data analytics pipeline, providing decision-makers and city leaders with actionable insights that can steer urban service management decisions. Through real-time data availability and intuitive visualization dashboards, these leaders can promptly comprehend the current state of their services, pinpoint areas requiring improvement, and make informed decisions to bolster these services. This research illuminates the potential for data analytics, machine learning, and AI to significantly upgrade urban service management in smart cities, fostering sustainable and livable communities. Moreover, our findings contribute valuable knowledge to other cities aiming to adopt similar strategies, thus aiding the continued development of smart cities globally.