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This study aims to analyze and compare the relationship between international trade in global value chains (GVC) and greenhouse gas (GHG) emissions for Brazil and China from 2000 to 2016.

The input-output method apply to multiregional tables from Eora-26 to decompose the GHG emissions of the Brazilian and Chinese productive structure.

The data reveals that Chinese production and consumption emissions are associated with power generation and energy-intensive industries, a significant concern among national and international policymakers. For Brazil, the largest territorial emissions captured by the metrics come from services and traditional industry, which reveals room for improving energy efficiency. The analysis sought to emphasize how the productive structure and dynamics of international trade have repercussions on the environmental dimension, to promote arguments that guide the execution of a more sustainable, productive and commercial development strategy and offer inputs to advance discussions on the attribution of climate responsibility.

The metrics did not capture emissions related to land use and deforestation, which are representative of Brazilian emissions.

Comparative analysis of emissions embodied in traditional sectoral trade flows and GVC, on backward and forward sides, for developing countries with the main economic regions of the world.

The purpose of this study is to explore Swedish police education teachers’ informal workplace learning and its perceived value for their professional development. Two categories of teachers, police teachers and university teachers, with different professional knowledge and experience, work together at the police education unit.

The method used was in-depth interviews with teachers working at a Swedish police education unit.

Informal workplace learning was perceived by both teacher groups to be of great value for gaining knowledge about the local practice and for their professional development. Their learning emerged in discussions, observations and practically oriented activities in their daily work. Four conclusions: firstly, the teachers’ informal workplace learning was socially and practice-oriented and learning emerged in a collaborative, reciprocal and active process. Secondly, the embodied nature of the learning is evident in the teachers’ joint activities in the teaching practice. Thirdly, it takes time and active involvement in the local practice to become a professional teacher in this kind of education. Fourthly, an educational structure where academic knowledge and experience can be integrated with police knowledge and experience constitutes an important basis for teachers’ professional development in police education and training.

The study’s focus on police education and the professional development of teachers in this specific practice contributes to increased knowledge of the social, practice-oriented and embodied nature of informal workplace learning.

Despite the gains that have been made by adopting contemporary theories of practice in entrepreneurship studies, the field still lacks a comprehensive practice theory of entrepreneurial learning. In this article, we develop a practice theory of entrepreneurial learning by elaborating on the relations between practicing, knowing and learning.

Using a video ethnography of a two-day “Startup Weekend for Refugees” event in Amsterdam, our aim is to further theorise the relational, material and embodied nature of entrepreneurial learning through analysing video fragments of naturally occurring practices.

Our findings demonstrate that entrepreneurial learning transpires through, and is emergent from, practices and their relations. On the one hand, practitioners learn to competently participate in various practices by sensing, observing and experimenting with the meaning of others' gestures and utterances. On the other, the learning of new opportunities for value creation emerges as practitioners connect various practices to one another through translation.

This article contributes by illustrating and explaining real-time instances of learning to develop a practice theory of entrepreneurial learning. This contributes to the literature by detailing the relations between learning, knowing and practising entrepreneurship, which leads to a novel alternative to existing individual- and organisational-level learning theories.

The article contributes to affective ethnography focussing on the fluidity of organizational spacing. Through the concept of affective space, it highlights those elements that are ephemeral and elusive – like affect, aesthetics, atmosphere, intensity, moods – and proposes to explore affect as spatialized and space as affective.

Fluidity is proposed as a conceptual lens that sits at the conjunction of space and affect, highlighting both the movement in time and space, and the mutable relationships that the capacity of affecting and being affected weaves. It experiments with “writing differently” in affective ethnography, thus performing the space of representation of affective space.

The article enriches the alternative to a conceptualization of organizations as stable entities, considering organizing in its spatial fluidity and in being a fragmented, affective and dispersed phenomenon.

The article's writing is an example of intertextuality constructed through five praxiographic stories that illustrate the multiple fluidity of affective spacing in terms of temporal fluidity, fluidity of boundaries, of participation, of the object of practice, and atmospheric fluidity.

Background: Commodity-driven deforestation is a major driver of forest loss worldwide, and globalisation has increased the disconnect between producer and consumer countries. Recent due-diligence legislation aiming to improve supply chain sustainability covers major forest-risk commodities. However, the evidence base for specific commodities included within policy needs assessing to ensure effective reduction of embedded deforestation.

Methods: We conducted a rapid evidence synthesis in October 2020 using three databases; Google Scholar, Web of Science, and Scopus, to assess the literature and identify commodities with the highest deforestation risk linked to UK imports. Inclusion criteria include publication in the past 10 years and studies that didn't link commodity consumption to impacts or to the UK were excluded. The development of a review protocol was used to minimise bias and critical appraisal of underlying data and methods in studies was conducted in order to assess the uncertainties around results.

Results: From a total of 318 results, 17 studies were included in the final synthesis. These studies used various methodologies and input data, yet there is broad alignment on commodities, confirming that those included in due diligence legislation have a high deforestation risk. Soy, palm oil, and beef were identified as critical, with their production being concentrated in just a few global locations. However, there are also emerging commodities that have a high deforestation risk but are not included in legislation, such as sugar and coffee. These commodities are much less extensively studied in the literature and may warrant further research and consideration.

Conclusion: Policy recommendations in the selected studies suggests further strengthening of the UK due diligence legislation is needed. In particular, the provision of incentives for uptake of policies and wider stakeholder engagement, as well as continual review of commodities included to ensure a reduction in the UK's overseas deforestation footprint.

Knowledge competencies and (R&D) activities are one of the most important sources of innovation and have been widely discussed in the literature. In comparison, the role of the competitive environment for the innovation activities of firms is still open to debate and has not been fully understood yet. Therefore, this paper intends to provide new evidence on the interaction between knowledge competencies and R&D activities of firms on the one side and their competitiveness in the market environment on the other. In particular, the moderating function of market competition is explored. In this respect, the analysis covers the main innovation types as well as both sectors, manufacturing and services.

The empirical analysis is based on a three years panel dataset of German manufacturing and service firms obtained from Mannheim Innovation Panel (MIP) and Community Innovation Surveys (CISs: 2011, 2013 and 2015). For the estimation, a binary instrumental variable treatment model with Heckman selection method is used. Also, it provides a suitable approach to estimating the binary variables in order to cope with endogeneity concerns.

The estimation results show that R&D activities and knowledge competencies are positively related to innovation activities of different types conditioned on firms' specific perception of their competitive environment, in terms of outdated products/services as well as strong competition from abroad. Most importantly, the results from the moderation estimation reveal that there is a significant difference between the manufacturing and service sector. Service firms engage more in internal R&D activities on generating product innovations while the manufacturing firms conduct more external R&D on specific types of innovation. Further, the authors find that strong competition from abroad positively and significantly reinforces the effect of knowledge competencies on innovation activities for more types in services than in manufacturing. In contrast, outdated products and services tend to decline the effect of knowledge competencies for some innovation types in both sectors. The authors also observe a positive and significant reinforcement effect on knowledge competencies. However, it is found more beneficial for service firms since they can employ more innovation strategies.

The focus of the study is mainly on the impact of firms' competitive environment on innovation activities in various types through its interaction with knowledge competencies and R&D activities, across manufacturing and service firms.

This paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different activities: harbor management, stevedoring and warehousing operations. We will further divide each activity into two process types, production processes and services processes. We will also adopt a Delphi survey approach and use the Analytic Network Process (ANP) to identify these processes’influence dependence and their degree of importance for the MNDEA model setting. An empirical application demonstrates the performance of Taiwanese container ports by using MNDEA with window analysis techniques via the directional distance functionThe results demonstrate that the application is effective in indicating and/or suggesting resource-adjustments, while considering which undesirable output levels and shared inputs were involved. The results also present directions for possible improvements in workplace efficiency.

Researchers agree that collaboration networks can be an important implement in a firm’s innovation process, but there is limited empirical evidence on actually how they facilitate the new product development (NPD). The paper aims to discuss these issues.

Using longitudinal and multisource data on a sample of firms engaged in the Chinese automobile industry, the authors examine the structural properties of collaboration networks and their possible influences on firms’ NPD performance.

The results indicate that the structural features of the technology-based collaboration networks in the automobile industry have a low degree of collaborative integration and they influence firms’ NPD performance in diverse ways. The authors find that the direct ties, indirect ties and structural holes of the collaboration networks are all positively associated with firms’ number of new products. However, the authors have not found the evidence that the number of direct ties can moderate the relationship between the indirect ties and the NPD performance.

First, previous researches concerning the network mainly focused on their influence on technology innovation, few scholars studied the relationship between collaboration network and NPD. Second, the data used in this paper are true and valid, they are all from relevant departments of the Chinese government. Third, the empirical research of new products in China’s manufacturing industry is relatively new.

This study aims to examine the role of authenticity in tourists’ destination selection, analyze the factors that influence tourists to form their initial opinions and explore how tourists construct the authenticity of traditional villages. The authors selected Chengkan village in Huizhou district, Huangshan city, as a case. In the study, the authors constructed an attribute-hardware-software research framework and analyzed tourists’ authentic emic experiences from the perspective of constructivism. The findings of this study suggest that tourists’ destination selection is influenced by authenticity. The destination culture brokers who interact with tourists play an essential role in forming authentic experiences. According to differences in how tourists construct authenticity, the study divided tourists into three types: primitive imagination, aesthetic reality and rational cognition. The results of this study provide a deeper understanding of various viewpoints about authenticity research and contribute to the academic discussion on how to understand the authenticity of unique cultural heritage sites such as traditional villages in the context of tourism development.

The purpose of this paper is to present a conceptual framework based on an understanding of the principles of popular mobile-enabled games, indicating how organisations in the tourism sector could meet the needs of Millennials and Generation Z through engaging with the existing gamified location-based practice of geocaching as an information and communication technology enabled gamified enhancement to the destination experience.

As a primarily conceptual paper, the authors take an inductive qualitative approach to theory building based on the understanding of an existing practice (geocaching) that is undertaken among a community of practitioners (geocachers), which results in the presentation of a conceptual framework, which is the theory itself that the authors have constructed from the understanding of what is going on and which principles can then be applied across other tourism practices.

Findings indicate that through engaging with geocaching, smaller entrepreneurial businesses even in non-urban destinations that fall outside of the remit of smart city developments, and in tourism destinations on the less technologically enabled or resource-rich side of the digital divide, can reap the benefits associated with employing the principles and practices associated with smart tourism to meet the needs of this new generation of tourism consumers who seek richer digital and often gamified tourism experiences.

This paper fills a gap in the literature regarding the way many different types of tourism destinations could meet the needs of Millennials and Generation Z tourists.