137 research outputs found

    The Future of Industrial Policies in the New Millennium: Toward a Knowledge-Centered Development Agenda

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    The paper present the conclusions to the book "The Political Economy of Capabilities Accumulation: the Past and Future of Policies for Industrial Development", edited by M. Cimoli, G. Dosi and J. E. Stiglitz, Oxford University Press, forthcoming. While it is futile to search for any 'magic policy recipe' automatically yielding industrialization, the contributions to the book, we argue, do indeed help in identifying some basic ingredients and principles that successful policy arrangements historically had and have in common. In this concluding chapter we spell out some of them. They include: (i) an 'emulation philosophy' vis-Ă -vis the most promising technological paradigms; (ii) various measures safeguarding the possibility of 'infant industry learning', involving also the purposeful 'distortion' of market signals as they come from the international arena; (iii) explicit policies of capability-building directed both at education and training but also at nurturing and shaping specific corporate actors; (iv) a 'political economy of rent-management' favourable to learning and industrialization, while curbing the exploitation of monopolist positions; (v) measures aimed to foster and exploit a weak Intellectual Property Rights regime, especially with respect to the companies of the developed world; (vi) strategies aimed at avoiding the 'natural resource course'; (vii) 'virtuous' complementarities between industrial policies and macroeconomic management. Further the chapter discusses the opportunities and constraints associated with the current regimes of trade and IPR governance and puts forward some basic building blocks of a proposed new pro-developmental consensus fostering knowledge accumulation and industrialization in catching-up countries.Development, Industrial Policies, Knowledge Accumulation, Catching-up, New International Consensus

    An under-ice hyperspectral and RGB imaging system to capture fine-scale biophysical properties of sea ice

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    Sea-ice biophysical properties are characterized by high spatio-temporal variability ranging from the meso- to the millimeter scale. Ice coring is a common yet coarse point sampling technique that struggles to capture such variability in a non-invasive manner. This hinders quantification and understanding of ice algae biomass patchiness and its complex interaction with some of its sea ice physical drivers. In response to these limitations, a novel under-ice sled system was designed to capture proxies of biomass together with 3D models of bottom topography of land-fast sea-ice. This system couples a pushbroom hyperspectral imaging (HI) sensor with a standard digital RGB camera and was trialed at Cape Evans, Antarctica. HI aims to quantify per-pixel chlorophyll-a content and other ice algae biological properties at the ice-water interface based on light transmitted through the ice. RGB imagery processed with digital photogrammetry aims to capture under-ice structure and topography. Results from a 20 m transect capturing a 0.61 m wide swath at sub-mm spatial resolution are presented. We outline the technical and logistical approach taken and provide recommendations for future deployments and developments of similar systems. A preliminary transect subsample was processed using both established and novel under-ice bio-optical indices (e.g., normalized difference indexes and the area normalized by the maximal band depth) and explorative analyses (e.g., principal component analyses) to establish proxies of algal biomass. This first deployment of HI and digital photogrammetry under-ice provides a proof-of-concept of a novel methodology capable of delivering non-invasive and highly resolved estimates of ice algal biomass in-situ, together with some of its environmental drivers. Nonetheless, various challenges and limitations remain before our method can be adopted across a range of sea-ice conditions. Our work concludes with suggested solutions to these challenges and proposes further method and system developments for future research

    Reciprocidade implĂ­cita e crescimento na economia global: uma perspectiva estruturalista

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    This paper discusses some of the structuralist ideas about international coordination and growth in an international system formed by countries whose productive structures and technological capabilities are strongly asymmetric. These ideas are formalized taking as a point of departure the Keynesian Balance-of-Payments constrained growth model with two countries. To this model is added a function (based on the catching up literature) in which the income elasticity of the demand for exports and imports depends on the technology gap. The model allows for discussing the inter-relations between the fiscal and the industrial and technological policies. It also allows for finding the rate of growth of autonomous expenditure in the periphery which ensures that it will use all the foreign exchange it earns in promoting economic growth (the principle of “automatic reciprocity”).structuralist macroeconomics; economic growth; innovation and technologic diffusion

    Three decades of volume change of a small greenlandic glacier using ground penetrating radar, structure from motion, and aerial photogrammetry

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    Glaciers in the Arctic are losing mass at an increasing rate. Here we use surface topography derived from Structure from Motion (SfM) and ice volume from ground penetrating radar (GPR) to describe the 2014 state of Aqqutikitsoq glacier (2.85 km2) on Greenland's west coast. A photogrammetrically derived 1985 digital elevation model (DEM) was subtracted from a 2014 DEM obtained using land-based SfM to calculate geodetic glacier mass balance. Furthermore, a detailed 2014 ground penetrating radar survey was performed to assess ice volume. From 1985 to 2014, the glacier has lost 49.8 ± 9.4 106 m3 of ice, corresponding to roughly a quarter of its 1985 volume (148.6 ± 47.6 106 m3) and a thinning rate of 0.60 ± 0.11 m a-1. The computations are challenged by a relatively large fraction of the 1985 DEM (∌50% of the glacier surface) being deemed unreliable owing to low contrast (snow cover) in the 1985 aerial photography. To address this issue, surface elevation in low contrast areas was measured manually at point locations and interpolated using a universal kriging approach. We conclude that ground-based SfM is well suited to establish high-quality DEMs of smaller glaciers. Provided favorable topography, the approach constitutes a viable alternative where the use of drones is not possible. Our investigations constitute the first glacier on Greenland's west coast where ice volume was determined and volume change calculated. The glacier's thinning rate is comparable to, for example, the Swiss Alps and underlines that arctic glaciers are subject to fast changes

    Underwater Hyperspectral Imaging (UHI): a review of systems and applications for proximal seafloor ecosystem studies

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    Marine ecosystem monitoring requires observations of its attributes at different spatial and temporal scales that traditional sampling methods (e.g., RGB imaging, sediment cores) struggle to efficiently provide. Proximal optical sensing methods can fill this observational gap by providing observations of, and tracking changes in, the functional features of marine ecosystems non-invasively. Underwater hyperspectral imaging (UHI) employed in proximity to the seafloor has shown a further potential to monitor pigmentation in benthic and sympagic phototrophic organisms at small spatial scales (mm–cm) and for the identification of minerals and taxa through their finely resolved spectral signatures. Despite the increasing number of studies applying UHI, a review of its applications, capabilities, and challenges for seafloor ecosystem research is overdue. In this review, we first detail how the limited band availability inherent to standard underwater cameras has led to a data analysis “bottleneck” in seafloor ecosystem research, in part due to the widespread implementation of underwater imaging platforms (e.g., remotely operated vehicles, time-lapse stations, towed cameras) that can acquire large image datasets. We discuss how hyperspectral technology brings unique opportunities to address the known limitations of RGB cameras for surveying marine environments. The review concludes by comparing how different studies harness the capacities of hyperspectral imaging, the types of methods required to validate observations, and the current challenges for accurate and replicable UHI research
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