China has reached the lewis turning point

In the past several years, labor shortages in China have become an issue. However, there is heated debate as to whether China has passed the Lewis turning point and moved from a period of unlimited supply to a new era of labor shortage. Most empirical studies on this topic focus on estimation of total labor supply and demand. Yet the poor quality of China’s labor statistics leaves the debate open. In this paper, China’s position along the Lewis continuum is examined though primary surveys of wage rates, which offer a more reliable statistic than employment data. Our results show a clear rising trend in real wage rates since 2003. The acceleration of real wages even in slack seasons indicates that the era of surplus labor is over. This finding has important policy implications for China’s future development.dual economy, employment data, Labor market, Lewis model, Supply and demand, surplus labor, wage rates,

Flag-transitive automorphism groups of 22-designs with λ≥(r,λ)2\lambda\geq (r,\lambda)^2 are not product type

In this paper we show that a flag-transitive automorphism group $G$ of a non-trivial $2$-$(v,k,\lambda)$ design with $\lambda\geq (r, \lambda)^2$ is not of product action type. In conclusion, $G$ is a primitive group of affine or almost simple type.Comment: 13 pages,2 figure

Contextual Attention Recurrent Architecture for Context-aware Venue Recommendation

Venue recommendation systems aim to effectively rank a list of interesting venues users should visit based on their historical feedback (e.g. checkins). Such systems are increasingly deployed by Location-based Social Networks (LBSNs) such as Foursquare and Yelp to enhance their usefulness to users. Recently, various RNN architectures have been proposed to incorporate contextual information associated with the users' sequence of checkins (e.g. time of the day, location of venues) to effectively capture the users' dynamic preferences. However, these architectures assume that different types of contexts have an identical impact on the users' preferences, which may not hold in practice. For example, an ordinary context such as the time of the day reflects the user's current contextual preferences, whereas a transition context - such as a time interval from their last visited venue - indicates a transition effect from past behaviour to future behaviour. To address these challenges, we propose a novel Contextual Attention Recurrent Architecture (CARA) that leverages both sequences of feedback and contextual information associated with the sequences to capture the users' dynamic preferences. Our proposed recurrent architecture consists of two types of gating mechanisms, namely 1) a contextual attention gate that controls the influence of the ordinary context on the users' contextual preferences and 2) a time- and geo-based gate that controls the influence of the hidden state from the previous checkin based on the transition context. Thorough experiments on three large checkin and rating datasets from commercial LBSNs demonstrate the effectiveness of our proposed CARA architecture by significantly outperforming many state-of-the-art RNN architectures and factorisation approaches

Digital Infrastructure: Overcoming the digital divide in China and the European Union. CEPS Research Report, November 2017

This study is the result of collaboration among a group of researchers from CEPS and Zhejiang University (ZJU), who decided to team up and analyse the experience of China and the EU in bridging the digital divide. While acknowledging that both China and Europe have undertaken major efforts to reduce socio-economic and geographical disparities by providing network access to ever more citizens, the authors found that investing in physical access alone is not sufficient to enhance inclusion in the information society. They argue that public authorities should also adopt corollary policies to spur social and economic cohesion through innovations that enable disadvantaged regions to catch up with more developed urban areas. In this context, the report calls upon governments to promote digital innovation and entrepreneurship, foster coordinated efforts and adapt their educational systems to the changing labour market

Digital Infrastructure: Overcoming the digital divide in emerging economies. CEPS Special Report, 5 April 2017

Since the 1990s when the internet began to be commercialised globally, the debate on how to close the digital divide has attracted widespread attention. In this Policy Brief, we review the literature on the digital divide in emerging economies with a view to explaining: 1) how internet connectivity promotes social and economic inclusiveness, efficiency and innovation; 2) why the physical access to the internet alone is insufficient to capture the full benefits of digital technology and what other social conditions should be considered; and 3) how to further connect the unconnected population. The digital divide prevents societies from harnessing the full benefits that information and communication technologies can deliver. In this context, actions to foster physical access to the internet remain essential, but they are not sufficient to ensure a truly inclusive information society. Therefore, strong leadership is needed at the global and local levels, to ensure more coordinated efforts among governments, local authorities and actors on the ground. Conversely, maintaining the status quo, while technology progressively pervades every sector of the economy, may critically widen disparities across countries and within national territories. This report offers two sets of policy recommendations: 1) a set of general principles that the G20 should endorse to overcome disparities between emerging and advanced economies; and 2) a set of policy guidelines each nation should follow to bridge the digital divide and foster inclusiveness

Out-of-distribution Object Detection through Bayesian Uncertainty Estimation

The superior performance of object detectors is often established under the condition that the test samples are in the same distribution as the training data. However, in many practical applications, out-of-distribution (OOD) instances are inevitable and usually lead to uncertainty in the results. In this paper, we propose a novel, intuitive, and scalable probabilistic object detection method for OOD detection. Unlike other uncertainty-modeling methods that either require huge computational costs to infer the weight distributions or rely on model training through synthetic outlier data, our method is able to distinguish between in-distribution (ID) data and OOD data via weight parameter sampling from proposed Gaussian distributions based on pre-trained networks. We demonstrate that our Bayesian object detector can achieve satisfactory OOD identification performance by reducing the FPR95 score by up to 8.19% and increasing the AUROC score by up to 13.94% when trained on BDD100k and VOC datasets as the ID datasets and evaluated on COCO2017 dataset as the OOD dataset

The Condition of Mandarin Language Learning in Indonesia

The condition of Mandarin language learning in Indonesia was still a main issue for Mandarin lecturers and researchers in China and Indonesia. To find out the clear condition, a research having a combination of qualitative and quantitative methods was done, in which questionairs were distributed and interviews with Mandarin students, lecturers, and experts were conducted. Respondents were selected by random sampling. After data analysis, a conclusion which indicates a general condition and some problems in the process of teaching and learning Mandarin, as well as the use of learning materials can be presented. The research results show that at present, the Mandarin learners are still dominated by the descendants of Tionghoa, even though learners coming from non-Tionghoa\u27s descendants are getting increase; learners\u27 motivation in studying Mandarin is closely related with the self-identity as Tionghoa\u27s descendants and the job\u27s demands; Mandarin language still belongs to the second language in Indonesia and has not able to replace the domination of English; the insufficiency of lecturers and learning materials in the past have significantly provided, but this condition has not solved the problems, especially which concerns to the improvement of the quality of learners and local learning materials