5,299 research outputs found

    21st century trade agreements: implications for long-run development policy

    Full text link
    This repository item contains a single issue of The Pardee Papers, a series papers that began publishing in 2008 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future. The Pardee Papers series features working papers by Pardee Center Fellows and other invited authors. Papers in this series explore current and future challenges by anticipating the pathways to human progress, human development, and human well-being. This series includes papers on a wide range of topics, with a special emphasis on interdisciplinary perspectives and a development orientation.This paper examines the extent to which the emerging world trading regime leaves nations the “policy space” to deploy effective policy for long-run diversification and development and the extent to which there is a convergence of such policy space under global and regional trade regimes. We examine the economic theory of trade and long-run growth and underscore the fact that traditional theories lose luster in the presence of the need for long-run dynamic comparative advantages and when market failures are rife. We then review a “toolbox” of policies that have been deployed by developed and developing countries past and present to kick-start diversity and development with the hope of achieving longrun growth. Next, we examine the extent to which rules under the World Trade Organization (WTO), trade agreements between the European Union (EU) and developing countries, trade agreements between the United States (US) and developing countries, and those among developing countries (South-South, or S-S, agreements) allow for the use of such policies. We demonstrate that there is a great divergence among trade regimes over this question. While S-S agreements provide ample policy space for industrial development, the WTO and EU agreements largely represent the middle of the spectrum in terms of constraining policy space choices. On the far end, opposite S-S agreements, US agreements place considerably more constraints by binding parties both broadly and deeply in their trade commitments. Rachel Denae Thrasher holds a master’s degree in International Relations and a law degree, both from Boston University, and she is a Research Fellow at the Frederick S. Pardee Center for the Study of the Longer-Range Future. Her recent research has focused on policy issues related to regional trade agreements, multilateral environmental agreements (MEAs) and on global forests governance. Kevin P. Gallagher is an Assistant Professor in the Department of International Relations and Research Fellow at the Frederick S. Pardee Center for the Study of the Longer-Range Future, both at Boston University. He is also a fellow at the Global Development and Environment Institute at Tufts University. He has written extensively on trade and global development. Also see related publication The Future of the WTO, by Kevin Gallagher

    Open source environment to define constraints in route planning for GIS-T

    Get PDF
    Route planning for transportation systems is strongly related to shortest path algorithms, an optimization problem extensively studied in the literature. To find the shortest path in a network one usually assigns weights to each branch to represent the difficulty of taking such branch. The weights construct a linear preference function ordering the variety of alternatives from the most to the least attractive.Postprint (published version

    Towards Analytical Approach to Effective Website Designs: A Framework for Modeling, Evaluation and Enhancement

    Get PDF
    Conference Theme: I.T. and Value CreationEffective website design is critical to the success of electronic commerce and digital government. Most prior website design research has taken a computational or cognitive/behavioral approach which may not yield optimal designs demanded by specific requirements. We consider website design as a structural problem which can be examined using analytical approach, such as mathematical optimization. Specifically, we propose a framework which classifies real-world design problems into generic website design categories and maps each resulting category into a graph model which can be analyzable or solved using appropriate analytical techniques. Our framework consists of generic designs and graph models, together with the necessary mapping. We classify the Web site applications and review their features proposed by previous research. We describe a generic website design category using its objective and key constraints that correspond to important design requirements. By modeling website design problems using well-defined structures and rigorous analysis methods, this framework is able to measure website accessibility in a systematic and quantifiable manner, arguably more desirable than existing qualitative ad-hoc practices. Overall, our framework can facilitate the website design process, enhance design quality, and increase ease of analysis, implementation and continuous improvement.link_to_subscribed_fulltex

    The Genomic HyperBrowser: inferential genomics at the sequence level

    Get PDF
    The immense increase in the generation of genomic scale data poses an unmet analytical challenge, due to a lack of established methodology with the required flexibility and power. We propose a first principled approach to statistical analysis of sequence-level genomic information. We provide a growing collection of generic biological investigations that query pairwise relations between tracks, represented as mathematical objects, along the genome. The Genomic HyperBrowser implements the approach and is available at http://hyperbrowser.uio.no
    corecore