Global Connectedness and Bilateral Economic Linkages - Which Countries?

Access to off-shore markets, technology, and ideas are important to greater productivity and higher living standards in New Zealand. Global connectedness requires deep and rich links with other countries. However, as a small country, we only have the resources to focus on a handful of countries. Are there a key set of countries with which New Zealand should be seeking to form deeper bilateral economic relationships? This paper reviews the benefits from deeper external bilateral economic engagements using the insights from the new literature on economic growth, which place great importance on trade; international integration, human capital, and local and cross-border knowledge spillovers from research and development (R&D) and foreign direct investment (FDI). This paper will then use insights from the new literature on economic growth to develop criteria for selecting countries as partners for deeper bilateral economic linkages across six global connectedness dimensions: FDI, R&D links, trade in goods, inbound tourism, education exports, and people linkages. To account for the growing role of a number of economies in global trade, the partner selection criteria will identify two groupings of target countries. The first grouping is focus countries: those countries that are of immediate interest for deeper bilateral linkages. The second country grouping is horizon countries: countries that are likely to grow in their importance to New Zealand over the next 10 to 20 years. The key message of this paper is a greater bilateral economic focus by New Zealand on the major economies along the Asia-Pacific Rim (and the UK). When external initiatives come before decision-makers, they should be seen through a lens that places greater confidence in proposals for deeper relationships with the Asia-Pacific Rim countries (or the UK), and greater scrutiny of proposals that emphasise other regions and countries.economic growth; trade; economic integration; migration; technology diffusion; New Zealand

Antimicrobial Resistance (AMR) and Multidrug Resistance (MDR): Overview of Current Approaches, Consortia and Intellectual Property Issues

The supply of new diagnostics and treatments is insufficient to keep up with the increase in antimicrobial resistance (AMR) and multidrug resistance (MDR) as older medicines are used more widely and microbes develop resistance to them. At the same time, significant quantities of antibiotics are used on patients and animals that do not need them, while others who do need them lack access. Effective responses to AMR/MDR require effort by both the public and private sectors to develop and disseminate new diagnostics, vaccines and treatments on a global scale, as well as to adapt them to local needs. This calls for good governance to identify priorities, raise awareness and ensure effective stewardship at global, regional and national levels to minimize the development of resistance. Failure to act appropriately in one country will adversely impact all countries as resistance travels fast. Based on a review of recent literature, this WIPO Global Challenges Report includes a broad overview of current approaches and consortia designed to meet the challenge of research and development (R&D) investment for new treatments. It also examines patent applications by both the public and the private sectors as an indicator of innovative activity. This report finds that there is a need to address the unique market challenges and specific uncertainties associated with the development of new diagnostics and treatments, where current approaches are not optimal. An effective global framework that achieves the necessary political support while ensuring effective local implementation is crucial. There is an opportunity to complement this work by formulating mechanisms that drive innovation for results to incentivize success, while feeding expertise and experience into stewardship and access efforts. Intellectual property (IP) could be used in a constructive manner as one element in any reward or prize system for AMR/MDR R&D – both in terms of providing an incentive and governance

China's absorptive State: research, innovation and the prospects for China-UK collaboration

China's innovation system is advancing so rapidly in multiple directions that the UK needs to develop a more ambitious and tailored strategy, able to maximise opportunities and minimise risks across the diversity of its innovation links to China. For the UK, the choice is not whether to engage more deeply with the Chinese system, but how. This report analyses the policies, prospects and dilemmas for Chinese research and innovation over the next decade. It is designed to inform a more strategic approach to supporting China-UK collaboration

R&D offshoring and the domestic science base in India and China

This paper uses patent and publication data to assess the nature of technological advantages that are attracting R&D offshoring and outsourcing activities to India and China and the possible consequences of such R&D offshoring in increasing domestic innovative capability and building domestic research infrastructure. We find evidence that domestic patenting is concentrated in sectors that are different from sectors of R&D offshoring. Furthermore, whilst the domestic science base (as measured by publications data) in India and China shows strong complementarities in its specialisation profile to that in the US, our data also suggest that the location of international R&D activity in these economies from 1995 may not have strengthened the science base of these economies. Foreign patenting activities in India and China are also marked by a low attachment to the science base.R&D offshoring/internationalisation, Science base, Emerging economies, India and China

Scientific collaboration and high-technology exchanges among BRICS and G-7 countries

Over the last two decades, emerging countries located outside North America and Europe have reshaped the global economy. These countries are also increasing their share of the world’s scientific output. This paper analyzes the evolution of BRICS (Brazil, Russia, India, China and South Africa) and G-7 countries’ international scientific collaboration, and compares it with high-technology economic exchanges between 1995–1997 and 2010–2012. Our results show that BRICS scientific activities are enhanced by their high-technology exports and, to a larger extent, by their international collaboration with G-7 countries which remains, over the period studied, at the core of the BRICS scientific collaboration network. However, while high-technology exports made by most BRICS countries to G-7 countries have increased over the studied period, both the intra-BRICS high-technology flows and the intra-BRICS scientific collaboration have remained very weak

Global Research Report – South and East Asia

Global Research Report – South and East Asia by Jonathan Adams, David Pendlebury, Gordon Rogers & Martin Szomszor. Published by Institute for Scientific Information, Web of Science Group

Data science for industry 4.0 and sustainability: a survey and analysis based on open data

The last few years have been marked by the transition of companies and organizations to more efficient, productive and leaner practices in their processes and systems. In the spectrum of Industry and Engineering, the successful transition to Industry 4.0 is a clear goal for many Small and Medium Enterprises (SMEs) and bigger-sized companies. However, there are economic, social and environmental challenges for this transition that require innovative approaches to overcome them. The starting point for the development of this dissertation is exploring the importance of Data as a crucial resource and Data-science as a tool for companies, organizations and even public institutions to achieve innovative solutions through collaboration. As it will be further explained, Data is essential in decision making, but in many cases, organizations can’t access relevant information and tools because they are either proprietary or because there is a lack of collaboration between them and third parties. There is a common misconception that competition between companies within the same industry prohibits them from collaborating with each other. However, many times data-sharing and collaborative approaches can actually benefit both of them, increase the market they operate in, and accelerate innovation. Even though the adoption of Industry 4.0 has been already underway, this transition cannot be considered successful unless it improves sustainability across the economic, social and environmental areas of society. Those three sustainable pillars should always be considered a priority in the research of industrial and engineering evolution. Today, more than ever before, information about those topics is widely available but there is still a lack of interest by scientists and scholars in studying some of them. The following research aims to study Industry 4.0 and Sustainability themes through Data Science by incorporating open data and leveraging open-source tools in order to achieve Sustainable Industry 4.0. For that, studying the trends and current state of Industry 4.0, Sustainability and open data in the world, as well as identifying the industries, regions, and enterprises that benefit the most from Industry 4.0 adoption, and understanding if openness of data has a positive impact on Social Sustainability are the main objectives of the study. For that are used methods such as SLR (Sistematic Literature Review) in the bibliographic review and quantitative analysis through open-source software such as Python and R in the development of the research. The main results show a positive trend in Industry 4.0 adoption through sustainable practices, mainly on developed countries, and a growing trend of openness of data, which can be positive for transparency in both Industry and Sustainability.Os últimos anos têm sido marcados pela transição por parte de empresas e organizações para práticas mais eficientes, produtivas e de menores desperdícios nos seus processos e sistemas. No espectro da Indústria e Engenharia, a transição bem sucedida para a Indústria 4.0 é um objetivo claro por várias Pequenas e Médias Empresas (PMEs) e também por empresas maiores. No entanto, existem desafios de cariz económico, social e ambiental para esta transição, que requerem abordagens inovadoras para que os mesmos sejam ultrapassados. O ponto de partida para o desenvolvimento desta dissertação passou por explorar a importância de Dados como um recurso crucial e da Ciência de Dados como uma ferramenta para empresas, organizações e até mesmo instituições públicas atingirem soluções inovadoras através de colaboração. Como será explicado ao longo da dissertação, os dados são essenciais em tomadas de decisão, mas em muitos casos, as organizações não conseguem aceder a informação ou ferramentas relevantes porque ou são proprietárias, ou porque existe a falta de colaboração entre elas e terceiros. Existe também o conceito errado de que a competição entre empresas numa dada indústria as proíbe de colaborarem entre si. No entanto, muitas vezes a partilha de informação e abordagens colaborativas podem, na verdade, beneficiar ambas, expandindo o mercado onde operam e acelerando inovação. Apesar da adoção da Indústria 4.0 estar em progresso, esta transição não pode ser considerada bem sucedida se não melhorar a sustentabilidade nas áreas económicas, sociais e ambientais da sociedade. Esses três pilares da sustentabilidade devem ser considerados uma prioridade no estudo da evolução industrial e da engenharia. Hoje, mais do que nunca, a informação acerca desses tópicos é facilmente acedida, mas continua a existir interesse por parte de cientistas e académicos no estudo de alguns deles. A presente pesquisa tenciona estudar a Indústria 4.0 e temas de Sustentabilidade através de Ciência de Dados, incorporando dados abertos e explorando ferramentas open-source, para contribuir para uma Indústria 4.0 Sustentável. Para tal, estudar a tendência e estado atual da Indústria 4.0, Sustentabilidade e abertura de dados no mundo, assim como identificar as indústrias, regiões e empresas que mais beneficiam desta adoção, e finalmente compreender se uma maior abertura de dados pode ter um impacto positivo na Sustentabilidade Social são os principais objetivos do estudo. Assim, são usados métodos como RSL (Revisão Sistemática da Literatura) na revisão bibliográfica e análise quantitativa através de software open-source como o Python e R nos capítulos de desenvolvimento. Os principais resultados mostram uma tendência positiva na adoção da Indústria 4.0 através de praticas sustentáveis, principalmente em países desenvolvidos, e uma tendência crescente na abertura de dados, que pode ser positiva para uma indústria mais sustentável e transparente