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The paper aims to investigate the role of specialization and agglomeration forces on industry performance in an emerging market, namely, Thailand. In particular, the impact of clusters and the influence of complexity will be tackled.

The methodology used is based on the work of Delgado et al. (2014). Industries and clusters are assigned to a certain category according to their respective level of specialization and complexity. Performance measures are then computed for each category.

It was found that the agglomeration of similar industries and co-located and related industries increase the performance of firms in terms of gross output per employee and remuneration per employee. Moreover, the increase of performance induced by the complexity level of an industry was closely related to the level of specialization.

Building on a cluster mapping, this study brings new insight on the effect of specialization and agglomeration on performance in emerging markets. In fact, the paper show how performance can be enhanced in less sophisticated and developed economies.

This paper comes in the context of the European International Business Academy (EIBA) History project, and the long period analysed was broken down in six time windows (1975–1981, 1982–1988, 1989–1995, 1996–2002, 2003–2012; and 2013–2020), in line with the periodisation followed in writing such history. The main purpose was to identify the key themes of the papers presented at EIBA conferences between 1975 and 2020.

The analysis was carried out drawing on topic modelling, a machine-learning statistical solution that is capable of processing large volumes of text data.

A set of 5,296 Competitive and Workshop papers was processed with the use of topic modelling. The method enabled to identify 24 underlying research topics. These were then grouped into nine higher-level categories. The results show a consistent growth in the number of papers presented, especially in the periods going from 1989–2012. This is a sign of an increasing attractiveness, openness and attendance in EIBA’s annual conferences. Overall, the topics with the highest probabilities were topic 22 (Measuring and Assessing IB performance), followed ex-aequo by topics 13 (Evolutionary Approaches, Matrix Structures and Managerial Challenges) and 20 (Comparative Management Education and Behaviour) and then by topic 4 (Born Globals and International New Ventures). A key finding was the change in methodological approaches over time, with a significant increase in the use of sound quantitative and qualitative methods, instead of broad narratives mostly based on descriptive statistics.

Latent Dirichlet Allocation (LDA), as a quantitative approach to analyse text data, has some limitations. LDA, along with other distributional models, may identify degrees of semantic relations between words, but is not able by itself to specify the kind of relation, entailing a possible loss of contextual information which might have been able to further assist in the study. Another limitation stems from the use of very old paper proceedings, whose quality was sometimes low, making reading difficult.

This research provides a longitudinal perspective of the evolution of the key research topics in international business over about 45 years. Its findings are very important for all those who are interested on the evolution of the IB field.

The research provides an interesting perspective of the development of a scientific field as well as of a scientific community.

The main contributions of this research are fourfold. Firstly, to the best of the authors' knowledge, it provides the most complete longitudinal analysis about the evolution of IB research topics published so far. Secondly, it extracts relevant information about the evolution of the IB research issues addressed at EIBA’s annual conferences, enabling a 46-year longitudinal perspective on research interests as they emerged. Thirdly, it provides a successful application of topic modelling for the analysis of large volumes of textual data. Fourthly, it addresses the entirety of the text documents, as opposed to specific sections or keywords only, ensuring increased analytical depth.

A significant stream of literature focuses on host countries’ locations when explaining why firms internalize some of their activities in specific countries. At first glance, home location schemes and specificities seem to have attracted less attention in the scientific community. The purpose of this contribution is to provide a literature review linked to the specific issue of emerging countries’ country-specific advantages and the competitiveness of emerging market multinational enterprises.

The approach is to present the main theoretical developments related to the role of home countries in the internationalization process of domestic firms in general and as far as the home context of emerging countries is concerned.

A rigorous analysis of the literature shows that theoretical developments and empirical studies on international business do refer explicitly or at least implicitly to the role of home countries in the international expansion of firms.

The value of this review is to develop the main streams of the literature and to serve as a basis for the other contributions published in this area.

The purpose of this paper is to develop a comprehensive overview of green innovation (GI) in China, which is carried out by reviewing the evolution of GI from 2000 to 2019, and the main type of technology, actors and localizations. When appropriate, GI is compared to non-GI.

The study uses patent data from the European Patent Office database (PATSTAT); these data are processed to map trends and identify the main contributors to GI and the location of such innovation. The findings are then discussed and complemented with academic literature.

Key findings reveal an increasing divergence between GI and nongreen innovation after the 2008 crisis. It is also observed that solar energy appears to be the main component of GI in China, with a shift from photovoltaic thermal energy to solar photovoltaic energy after 2008. Other areas, such as waste management, greenhouse gases capture and climate change adaptation, are less innovative. Companies play an essential role in the development of all types of innovation. In terms of location, green patents are mainly filed in China’s three main megacities. The study also highlights the significant role of the Chinese state, which led policies shaping the trajectories and forms of GI.

This study expands knowledge on GI in China, highlighting its main specificities and the role of key actors. It provides to the reader a comprehensive picture of China’s green policies and innovation realities. The results can therefore be used to improve the understanding of GI evolution in China and facilitate the formulation of new research questions.

The purpose of this paper is to scrutinize the economic development of ASEAN countries during the period 2000-2014 (after the crisis) with the aim of detecting the convergence and divergence of trends over this period and of providing a framework that could be used for subsequent studies in the future.

Based on the models developed by Solow (1956) and Barro and Sala-i-Martin (1991), the authors estimate absolute and conditional β-convergence through OLS, pooled OLS and pooled OLS with time period effect. The absolute β-convergence can be modelled by the relationship between the log of the compound annual growth rate of GDP per capita (GDPC) (or per worker) and the initial level of GDPC (or per worker). The conditional β-convergence is modelled by the same relationship, supplemented by other factors potentially affecting the growth.

The findings indicate an average annual rate of σ-convergence per annum of approximately 1 per cent, and of 0.4-0.6 per cent for β-convergence, over the period 2000-2014. Compared to other macro-regions (e.g. the European Union), these rates of convergence among ASEAN countries are relatively low.

The ASEAN roadmap should address two interlinked challenges: the first one is to achieve coordination of the macroeconomic, institutional, legal and social policies within the area. The second one is to address the specific microeconomic drivers of each member state to achieve increased sustainable development.

This paper identifies the contradictory results found in previous studies on ASEAN convergence and attempts to clearly determine the optimal sample, sample time period and estimation approaches to obtain sound results regarding convergence processes.