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全球生产网络理论(GPN)是关系经济地理学派的核心理论成果,但当前国内外研究对其发展脉络和理论内涵的认识存在模糊之处,在应用方面也存在一些误区。因此,本文从GPN与全球价值链(GVC)理论互动的视角出发,回顾GVC和GPN的重要发展阶段及对彼此的影响,针对常见的对GPN理解和应用的误区展开解释与辨析,主要得到3个结论。第一,GPN理论的研究目的已从解释“价值生产”凝练为解释“区域发展的不均衡”,更贴近经济地理学的基本研究范式。第二,GPN与GVC正在从分歧走向融合,共同致力于捕捉与解释全球化动态。第三,并非所有跨国公司研究或生产网络研究都属于GPN研究,GPN专指研究跨国公司与主要相关者基于生产所形成的网络动态,不适用于以国家为单位的研究,也不着力于揭示企业内部经营管理动态。本文继而指出中国经验既需要GPN理论加以探析、也有助于丰富GPN理论,精准理解GPN尤其对中国当前推行双循环战略有重要应用价值。本文强调,GPN作为中观理论框架,有效解释了全球经济中区域发展的多尺度动态,在全球化出现逆流的新形势下,对中国全球化实践,特别是国际国内双循环发展有着鲜明的研究意义。 相似文献
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Over the last decades, cosmogenic exposure dating has permitted major advances in many fields of Earth surface sciences and particularly in paleoglaciology. Yet, exposure age calculation remains a complicated and dense procedure. It requires numerous choices of parameterization and the use of an accurate production rate.This study describes the CREp program (http://crep.crpg.cnrs-nancy.fr) and the ICE-D production rate online database (http://calibration.ice-d.org). This system is designed so that the CREp calculator will automatically reflect the current state of this global calibration database production rate, ICE-D. ICE-D will be regularly updated in order to incorporate new calibration data and reflect the current state of the available literature.CREp is a Octave/Matlab© online code that computes Cosmic Ray Exposure (CRE) ages for 3He and 10Be. A stand-alone version of the CREp code is also released with the present article. Note however that only the online version is connected to the online database ICE-D. The CREp program offers the possibility to calculate ages with two scaling models: i.e. the empirical Lal-Stone time-dependent model (Balco et al., 2008; Lal, 1991; Stone, 2000) with the muon parameters of Braucher et al. (2011), and the Lifton-Sato-Dunai (LSD) theoretical model (Lifton et al., 2014). The default atmosphere model is the ERA-40 database (Uppala et al., 2005), but one may also use the standard atmosphere for comparison (N.O.A.A, 1976). To perform the time-dependent correction, users may import their own geomagnetic database for paleomagnetic corrections or opt for one of the three proposed datasets (Lifton, 2016; Lifton et al., 2014; Muscheler et al., 2005).For the important choice of the production rate, CREp is linked to a database of production rate calibration data that is part of the ICE-D (Informal Cosmogenic-nuclide Exposure-age Database) project (http://calibration.ice-d.org). This database includes published empirical calibration rate studies that are publicly available at present, comprising those of the CRONUS-Earth and CRONUS-EU projects, as well as studies from other projects. In the present study, the efficacy of the different scaling models has also been evaluated looking at the statistical dispersion of the computed Sea Level High Latitude (SLHL) production rates. Lal/Stone and LSD models have comparable efficacies, and the impact of the tested atmospheric model and the geomagnetic database is also limited.Users however have several possibilities to select the production rate: 1) using a worldwide mean value, 2) a regionally averaged value (not available in regions with no data), 3) a local unique value, which can be chosen among the existing dataset or imported by the user, or 4) any combination of multiple calibration data.If a global mean is chosen, the 1σ uncertainty arising from the production rate is about 5% for 10Be and 10% for 3He. If a regional production rate is picked, these uncertainties are potentially lower.CREp is able to calculate a large number of ages in a reasonable time (typically < 30 s for 50 samples). The user may export a summary table of the computed ages and the density probability function associated with each age (in the form of a spreadsheet). 相似文献
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