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Arrangements for regional economic integration, under the WTO system, have unexpectedly dominated globalization. In fact, countries that have realized economic arrangements, such as the EU 's monetary union, are further expanding their efforts to achieve political integration. Regional economic integration is now considered an exigency of national affairs. North East Asian countries are also affected by this global predicament, but the issue involves greater structural complexities in this region. The emergence of China has forced Japan and Korea to contemplate difficult structural adjustments. For example, while the Korean government recognizes the importance of stronger intra-regional economic cooperation, by pursuing these arrangements it simultaneously faces the dilemma of maintaining traditional partnerships, such as those with the USA and Japan. If Korea actively supports regional economic arrangements, this action would be perceived as a bias toward China, consequently damaging ties with the US. Thus, rather than depending on public initiatives to establish economic ties in North East Asia, China, Japan and Korea should rely on market friendly projects initiated by the private sector that endorse gradual integration through non-political activities and exchanges among the citizens of the respective countries. This paper first proposes the founding of a North East Asian United University Community composed of students, professors and campuses of the three countries in the initial stages. Secondly, it proposes the development of unique Asian commodities, a concept similar to that of 'Airbus. ' Finally, it proposes utilization of retired Japanese, Korean and Chinese engineers and technicians to speed up the overall level of technology, which is critical to overcoming backwardness in this region.

Mining user-concerned actionable and interpretable hot topics will help management departments fully grasp the latest events and make timely decisions. Existing topic models primarily integrate word embedding and matrix decomposition, which only generates keyword-based hot topics with weak interpretability, making it difficult to meet the specific needs of users. Mining phrase-based hot topics with syntactic dependency structure have been proven to model structure information effectively. A key challenge lies in the effective integration of the above information into the hot topic mining process.

This paper proposes the nonnegative matrix factorization (NMF)-based hot topic mining method, semantics syntax-assisted hot topic model (SSAHM), which combines semantic association and syntactic dependency structure. First, a semantic–syntactic component association matrix is constructed. Then, the matrix is used as a constraint condition to be incorporated into the block coordinate descent (BCD)-based matrix decomposition process. Finally, a hot topic information-driven phrase extraction algorithm is applied to describe hot topics.

The efficacy of the developed model is demonstrated on two real-world datasets, and the effects of dependency structure information on different topics are compared. The qualitative examples further explain the application of the method in real scenarios.

Most prior research focuses on keyword-based hot topics. Thus, the literature is advanced by mining phrase-based hot topics with syntactic dependency structure, which can effectively analyze the semantics. The development of syntactic dependency structure considering the combination of word order and part-of-speech (POS) is a step forward as word order, and POS are only separately utilized in the prior literature. Ignoring this synergy may miss important information, such as grammatical structure coherence and logical relations between syntactic components.

The real costs of trade, the transport and other costs of doing business internationally, are very important determinants of a country's ability to participate fully in the world economy. Remoteness and poor transport and communications infrastructure isolate countries, inhibiting their participation in global production networks. This paper investigates the dependence of transport costs on geography and infrastructure It shows that infrastructure is quantitatively important in determining transport costs, and improvements in infrastructure can dramatically increase trade flows. It also finds that the low level of Northeast Asian countries' trade flows is largely due to poor infrastructure. Competition among countries in East Asia to maintain or become a logistic hub in the region is severe. This is reflected in the competition to build or expand airports and seaports in the region. Competing countries need to find ways of cooperating to achieve an efficient resource allocation in the region as a whole.

Entrepreneurship-related research in management and organizational journals has experienced rapid growth, particularly in the last several years. The purpose of this study is to identify the researchers and universities that have had the greatest influence on entrepreneurship research since the turn of the century. Using a systematic and comprehensive study identification protocol, the authors delve into the individual and institutional actors contributing to scholarship in entrepreneurial studies for the period from 2000 to 2015. Examination of top-tier management and organizational journals revealed that a total of 371 entrepreneurship-related articles were published during this period by 618 authors from 303 different institutions. Rankings for the most prolific individuals as well as institutions, adjusted and unadjusted for journal quality, are presented. The article concludes with a discussion of the limitations and implications of the research undertaken here.

The purpose of this paper is to identify the impact of traditionally unmonitored energy sources and sinks on assessment of the as-built thermal performance of occupied homes. The analysis aims to demonstrate the potential scale of uncertainties introduced in a heat balance estimation of the heat transfer coefficient (HTC) when using in-use monitored data.

Energy flows for two UK homes – one a 1930s dwelling with high heat loss, the second a higher-performing 2014-built home – are predicted using the UK Government’s standard assessment procedure (SAP) and visualised using Sankey diagrams. Selected modelled energy flows are used as inputs in a quasi-steady state heat balance to calculate in-use HTCs as if from measured data sets gathered in occupied homes. The estimated in-use HTCs are compared against SAP-calculated values to illustrate the impact of including or omitting various heat sources and sinks.

The results demonstrate that for dwellings with low heat loss, the increased proportion of heating demand met by unmetered internal and solar gains informs a greater sensitivity of a heat balance estimation of the HTC to their omission. While simple quasi-steady state heat balance methods may be appropriate for dwellings with very high heat loss, alternative approaches are likely to be required for those with lower heat loss.

A need to understand the impacts of unmetered heat flows on the accuracy with which a building’s thermal performance may be inferred from in-use monitored data is identified: this paper illustrates the scale of these impacts for two homes at opposite ends of the energy performance scale.