195,132 research outputs found

    Market access spillovers: an empirical approach to the flagship firm effect

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    This paper intends to contribute to the knowledge on the externalities produced by a foreign industry within the host region of the investment. Particularly, this study focuses on the influence of internationalization strategies implemented by a foreign industry on the local territory when its workers install their own companies or are hired by local companies, and on the effect of imitation strategies within the local environment. This analysis reveals a positive correlation between the territorial strategy of the industry and the permeability of its organization, and also between the maturity of the investment, new market access strategies, and the local impact. On the other hand, the productive linkage established between local and foreign companies and the previous labor relationship of its owner or administrators influence the internationalization process

    How does big data affect GDP? Theory and evidence for the UK

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    We present an economic approach to measuring the impact of Big Data on GDP and GDP growth. We define data, information, ideas and knowledge. We present a conceptual framework to understand and measure the production of “Big Data”, which we classify as transformed data and data-based knowledge. We use this framework to understand how current official datasets and concepts used by Statistics Offices might already measure Big Data in GDP, or might miss it. We also set out how unofficial data sources might be used to measure the contribution of data to GDP and present estimates on its contributions to growth. Using new estimates of employment and investment in Big Data as set out in Chebli, Goodridge et al. (2015) and Goodridge and Haskel (2015a) and treating transformed data and data-based knowledge as capital assets, we estimate that for the UK: (a) in 2012, “Big Data” assets add £1.6bn to market sector GVA; (b) in 2005-2012, account for 0.02% of growth in market sector value-added; (c) much Big Data activity is already captured in the official data on software – 76% of investment in Big Data is already included in official software investment, and 76% of the contribution of Big Data to GDP growth is also already in the software contribution; and (d) in the coming decade, data-based assets may contribute around 0.07% to 0.23% pa of annual growth on average

    IPO Ready? Illuminating the Dark Box of Private Equity

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    The use of public equity data can help combat the challenges private equity funds currently face regarding data availability. The goal is to create a model to provide guidance to both investors and entrepreneurs in the decision-making process. The data gathered would provide insight on how close a private company is to a successful Initial Public Offering (IPO). The idea is that a model, showing the average financial metrics of companies within certain industries during an IPO, can provide new perceptiveness as to how the private company is performing

    INTERNAL LEARNING BY DOING AND ECONOMIC GROWTH

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    This paper analyses the consequences for growth during the transitional period of considering the learning-by-doing process proposed by Arrow (1962) as internal, instead of as an externality. To do this, it develops a simple endogenous growth model with human capital accumulation through external and internal learning processes. The calibrated model delivers two features of the Japanese growth experience: slow convergence, and negative correlation between the growth rate of per capita GDP and investment share. The crucial implication of internal learning-by-doing is the double role of physical investment that operates reducing diminishing returns to physical capital.Internal LBD, Endogenous Growth, Return to Saving, Convergence Speed, Investment Share and Growth Rate

    Technology upgrading of middle income economies: A new approach and results

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    We explore issues of measurement for technology upgrading of the economies moving from middle to high-income status. In exploring this issue, we apply theoretically relevant and empirically grounded middle level conceptual and statistical framework based on three dimensions: (i) Intensity (ii) breadth of technological upgrading, and (iii) technology and knowledge exchange. As an outcome, we construct a three-pronged composite indicator of technology upgrading based on 35 indicators which reflect different drivers and patterns of technology upgrading of countries at different income levels. We show that technology upgrading of middle-income economies is distinctively different from that of low and high-income economies. Our results suggest the existence of middle-income trap in technology upgrading - i.e. countries' technology upgrading activities are not reflected in their income levels. Based on the simple statistical analysis we show that the middle-income trap is present in all three aspects of technology upgrading, but their importance varies across different aspects. A trap seems to be higher for 'breadth' of technology upgrading than for 'intensity' of technology upgrading and is by far the highest for the dimension of knowledge and technology interaction with the global economy. Finally, our research shows that technology upgrading is a multidimensional process and that it would be methodologically wrong to aim for an aggregate index

    A Proposal for Supply Chain Management Research That Matters: Sixteen High Priority Research Projects for the Future

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    On May 4th, 2016 in Milton, Ontario, the World Class Supply Chain 2016 Summit was held in partnership between CN Rail and Wilfrid Laurier University’s Lazaridis School of Business & Economics to realize an ambitious goal: raise knowledge of contemporary supply chain management (SCM) issues through genuine peer-­‐to-­‐peer dialogue among practitioners and scholars. A principal element of that knowledge is an answer to the question: to gain valid and reliable insights for attaining SCM excellence, what issues must be researched further? This White Paper—which is the second of the summit’s two White Papers—addresses the question by proposing a research agenda comprising 16 research projects. This research agenda covers the following: The current state of research knowledge on issues that are of the highest priority to today’s SCM professionals Important gaps in current research knowledge and, consequently, the major questions that should be answered in sixteen future research projects aimed at addressing those gaps Ways in which the research projects can be incorporated into student training and be supported by Canada’s major research funding agencies That content comes from using the summit’s deliberations to guide systematic reviews of both the SCM research literature and Canadian institutional mechanisms that are geared towards building knowledge through research. The major conclusions from those reviews can be summarized as follows: While the research literature to date has yielded useful insights to inform the pursuit of SCM excellence, several research questions of immense practical importance remain unanswered or, at best, inadequately answered The body of research required to answer those questions will have to focus on what the summit’s first White Paper presented as four highly impactful levers that SCM executives must expertly handle to attain excellence: collaboration; information; technology; and talent The proposed research agenda can be pursued in ways that achieve the two inter-­‐related goals of creating new actionable knowledge and building the capacity of today’s students to become tomorrow’s practitioners and contributors to ongoing knowledge growth in the SCM field This White Paper’s details underlying these conclusions build on the information presented in the summit’s first White Paper. That is, while the first White Paper (White Paper 1) identified general SCM themes for which the research needs are most urgent, this White Paper goes further along the path of industry-academia knowledge co-creation. It does so by examining and articulating those needs against the backdrop of available research findings, translating the needs into specific research projects that should be pursued, and providing guidelines for how those projects can be carried out

    Rethinking the Management of Foundation Endowments

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    Reviews the performance of foundation endowments since October 2007, lessons for investors, trends in endowment management models, and the strengths and weaknesses of five models. Recommends ways to make the most of investment consultants

    Apprenticeship training in England: a cost-effective model for firms?

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    In England, the government plans to incentivise spending of billions of pounds over the next few years promoting apprenticeships, with most of the finance raised from the apprenticeship levy on employers. Promoting more apprenticeships is designed to improve England’s skill base – a government policy priority given the relatively low level of skills and educational qualifications amongst a large part of the country’s workforce. But does such a policy make sense in an English context, with a historically limited participation of many employers in work related formal training? Is additional spending on apprenticeships likely to lead to positive economic returns for employers, workers and for England itself? And how varied are the net economic returns by employer and by sector? What works for one category of employment may not bring positive gains where returns to training are much lower. To answer these questions the JPMorgan Chase Foundation, the Education Policy Institute and the Bertelsmann Stiftung have come together and partnered with the internationally acknowledged economist Prof. Dr. Stefan C. Wolter to explore the costs and benefits of apprenticeship training for companies in England. This report by Prof. Dr. Stefan C. Wolter and Eva Joho brings a much needed degree of rigour and quantification to a policy area which is too often characterised by assumption, hunch, and international experience which may not apply in a very different country context. The authors have used evidence from Germany, Switzerland and Austria to simulate the costs and benefits of an apprenticeship policy applied in an English context. They are aware of the limitations of this approach - not least given the different tradition of employer engagement in England - but the analysis in this report is important and could help guide employer and government policies in directions that maximise economic returns and limit low return scenarios. In particular, the return by occupations is shown to be highly varied based on the return and cost characteristics of each sector. The returns by employer within each sector also vary markedly. The key conclusions the authors have derived in the report could help steer English policymakers and employers in more evidence based directions, which should help ensure that England’s large investment in this area is properly informed by evidence and more likely to yield positive returns. In addition, the present study complements studies with a similar methodology in Spain (2016) and Italy (to be published 2018), which will enable learnings for successful implementation of apprenticeship models across countries

    Turning marketing promises into business value: The experience of an industrial SME

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    The article studies the value that businesses should have for their customers and shareholders. It explains how to develop such value to meet or exceed customer's expectations through the application of the promise framework. The promise model includes promises made to customers, promises kept, and promises that involve a synchronized effort from the whole firm to create and deliver value to customers

    Understanding training levies : final report

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