This article introduces the concept of corporate social responsibility in the seemingly oxymoronic context of Chinese “authoritarian capitalism.” Following an introduction to the emergence of authoritarian capitalism, the article considers the emergence of CSR in China using Matten and Moon’s framework of explaining CSR development in terms both of a business system’s historic institutions and of the impacts of new institutionalism on corporations arising from societal pressures in their global and national environments. We find two forms of CSR in China, (...) reflecting the “multiplexity” of its business system: one in the mainly family-owned small and medium-sized enterprise sector reflecting concern with local reputation, and another in the corporate, mainly state-owned enterprise sector, reflecting global and national societal expectations. We investigate the dynamics of CSR in China through the interplay of the global and national societal pressures and mediating and even leading roles played by the State and the Party. We consider the conceptual integrity and practical prospects for “state-led society-driven” CSR and future research opportunities, including those opened up by the three contributing articles to this special issue. (shrink)
A revival of Confucianism in post-Mao China helped the government legitimate its power in the face of a new socio-political and economic situation. This paper specifically explores the role of Confucian self-cultivation in China’s governance. Drawing on Beetham’s theory of legitimation of power and Weber’s tri-typology of authority, we argue that self-cultivation, appealing to ingrained cultural values and traditions, fulfils the criteria of legitimation of power through two principles, namely, differentiation and community interest. In the context of suzhi education and (...) China’s national university entrance exam, we interrogate tensions and paradoxes between the need for a presentation of modern and liberal authority and the CCP’s one-party rule. The paper illustrates the complexity of China’s authoritarianism and the intricacies and intrinsic relevance of self-cultivation in current practice. (shrink)
The intrinsic dynamics andinnovative potential of the rural poor in Chinacan be illustrated by the phenomena of farmerinnovation circles in north Shaanxi.These are informal networks used by farmers tocollaborate on technology learning andagricultural production. Though not limited tospecific geographic locations, these circlesare particularly important in the marginalareas of rural China where the complexity ofthe geographic environment, the diversity offarmer demands, and the inefficiency of formalagricultural extension networks impede thespread of new agricultural technologies. Socialconnectedness in the form of householdcommunication networks, technology (...) learninggroups, and inter-village links aids people's collective capacity to work together. In thestudy of 50 villages in this remote region, itwas found that households with more connectionswere more likely to adopt a range of newtechnologies, and so had higher income. Adetailed case study shows how collective actioncan lead to environmental improvements thatfurther increase incomes. It is concluded thatif there is to be sustainable development inthe marginal areas of China, then there willclearly need to be closer communication andinteraction between agricultural professionalsand rural communities. (shrink)
Identification of non-coding RNAs (ncRNAs) has been significantly improved over the past decade. On the other hand, semantic annotation of ncRNA data is facing critical challenges due to the lack of a comprehensive ontology to serve as common data elements and data exchange standards in the field. We developed the Non-Coding RNA Ontology (NCRO) to handle this situation. By providing a formally defined ncRNA controlled vocabulary, the NCRO aims to fill a specific and highly needed niche in semantic annotation of (...) large amounts of ncRNA biological and clinical data. (shrink)
Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different locations may lead to difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. In this paper, an effective entity linking model is proposed to capture the semantic meaning (...) of the sentences and reduce the noise introduced by different contexts of the same mention in a document. This model first uses the symmetry of the Siamese network to learn the sentence similarity. Then, the attention mechanism is added to improve the interaction between input sentences. To show the effectiveness of our sentence representation model combined with attention mechanism, named ELSR, extensive experiments are conducted on two public datasets. Results illustrate that our model outperforms the baselines and achieves the superior performance. (shrink)
Previous researchers have found that head-down bed rest will affect the emotional state of individuals, and negative emotions such as anxiety are closely related to attention bias. The present study adopted the dot-probe task to evaluate the effects of 15-days of −6° HDBR on the attention bias of threatening stimulus in 17 young men, which was completed before, during, after the bed rest. In addition, self-report inventories were conducted to record emotional changes. The results showed that the participants’ negative affect (...) scores on HDBR-8 were significantly lower than the HDBR-1 in PANAS while there was no significant difference on positive affect scores and anxiety scores in SAI. And the results showed that at the Pre-HDBR, HDBT-1, HDBR-15, Post-HDBR, the response speed to threatening stimulus was faster than neutral stimulus, but no statistical significance. However, reaction time of threatening stimulus is significantly longer than neutral stimulus in the HDBR-8, indicating that HDBR may have an effect on the participants’ attention bias, and this effect is manifested as attention avoidance. (shrink)
The constraint-handling methods using multiobjective techniques in evolutionary algorithms have drawn increasing attention from researchers. This paper proposes an efficient conical area differential evolution algorithm, which employs biased decomposition and dual populations for constrained optimization by borrowing the idea of cone decomposition for multiobjective optimization. In this approach, a conical subpopulation and a feasible subpopulation are designed to search for the global feasible optimum, along the Pareto front and the feasible segment, respectively, in a cooperative way. In particular, the conical (...) subpopulation aims to efficiently construct and utilize the Pareto front through a biased cone decomposition strategy and conical area indicator. Neighbors in the conical subpopulation are fully exploited to assist each other to find the global feasible optimum. Afterwards, the feasible subpopulation is ranked and updated according to a tolerance-based rule to heighten its diversity in the early stage of evolution. Experimental results on 24 benchmark test cases reveal that CADE is capable of resolving the constrained optimization problems more efficiently as well as producing solutions that are significantly competitive with other popular approaches. (shrink)
Recent studies have recognised the Confucian holistic perspective as transformative in addressing the ecological concerns. This article complements and complicates this line of argument. The aforementioned literature has seldom examined whether or not the Confucian ideal is attainable. Centring on cheng, a Confucian metaphysical concept, this article highlights the struggle between the ideal and the real. The discussion is based on the premise that essential to the current ecological crisis is a need to reconfigure the meaning and purpose of humanity (...) on the planet; utopianism, evoking images of a society radically different from the existing one, has the potential to instigate transformations. Utopias of all kinds encounter the tension between ideal and practice. Webb proposes an analytical framework of utopia-as-system and utopia-as-process. The former stresses an idealised blueprint and the latter attends to localised practice. For any radical change to occur, it is imperative to adopt both. Drawing on the research of ecotopia and edutopia, this article argues that Confucianism has a utopian impetus. As ecological self-understanding, cheng challenges modern assumptions regarding humanity and ecology. The concept represents a model of both utopia-as-system and utopia-as-process, and it has the potential to inspire change. It is, however, not without complication. (shrink)
Farmer innovation diffusion (FID) in the developing world is not simply the adoption of an innovation made by farmers, but a process of communication and cooperation between farmers, governments, and other stakeholders. While increasing attention has been paid to farmer innovation, little is known about how farmers’ innovations are successfully diffused. To fill this gap, this paper aims to address the following questions: What conditions are necessary for farmers to participate in FID? How is a collaborative network built up between (...) farmers and stakeholders for this purpose? And what roles can government play? The above questions are addressed through analysis of the diffusion of winter greenhouse technology in China. A framework for analyzing a FID system is developed, and the conclusion is drawn that building mutual trust and collaborative networks is crucial for the success of FID. Furthermore, this network building can be broken down into various levels with different scales, speeds and consequences for FID: informal networks among farmers themselves, farmer-led networks, and government-facilitated networks. The success of government intervention depends upon building and enhancing the collaborative networks in which farmer leadership is crucial. (shrink)
Multiplex networks have been widely used in information diffusion, social networks, transport, and biology multiomics. They contain multiple types of relations between nodes, in which each type of the relation is intuitively modeled as one layer. In the real world, the formation of a type of relations may only depend on some attribute elements of nodes. Most existing multiplex network embedding methods only focus on intralayer and interlayer structural information while neglecting this dependence between node attributes and the topology of (...) each layer. Attributes that are irrelevant to the network structure could affect the embedding quality of multiplex networks. To address this problem, we propose a novel multiplex network embedding model with high-order node dependence, called HMNE. HMNE simultaneously considers three properties: intralayer high-order proximity of nodes, interlayer dependence in respect of nodes, and the dependence between node attributes and the topology of each layer. In the intralayer embedding phase, we present a symmetric graph convolution-deconvolution model to embed high-order proximity information as the intralayer embedding of nodes in an unsupervised manner. In the interlayer embedding phase, we estimate the local structural complementarity of nodes as an embedding constraint of interlayer dependence. Through these two phases, we can achieve the disentangled representation of node attributes, which can be treated as fined-grained semantic dependence on the topology of each layer. In the restructure phase of node attributes, we perform a linear fusion of attribute disentangled representations for each node as a reconstruction of original attributes. Extensive experiments have been conducted on six real-world networks. The experimental results demonstrate that the proposed model outperforms the state-of-the-art methods in cross-domain link prediction and shared community detection tasks. (shrink)
The field service scheduling problem is the key problem in field services. Field service pays particular attention to customer experience, that is, customer satisfaction. Customer satisfaction described by customer behavior characteristics based on the prospect theory is considered as the primary optimization goal in this paper. The knowledge of the insertion feasibility on the solution is analysed based on the skill constraint and time window. According to the knowledge, an initialization method based on the nearest heuristic algorithm is constructed. Based (...) on the prior knowledge of the FSSP and the endowment of the Fruit Fly Optimization Algorithm, two operators are defined according to the matrix encoding method. Based on these two operators, three search strategies are then proposed, and the smell-based search strategy and vision-based search strategy for the FOA are redesigned. To verify the performance of the algorithms, the proposed operators and strategies are tested and analysed in the well-known benchmark. Through comparison with the state-of-the-art algorithms, the results show that the proposed HFOA is an effective and efficient method to solve the FSSP with customer satisfaction. (shrink)
