国内价值链构建下地方产业集群升级机理研究

承接产业转移是广大中西部地区的重大发展机遇。在分析全球价值链(GVC)的基础上,立足于我国经济梯度,提出了构建国内价值链(NVC)的基本思路。根据劳动力、资源、市场和区位等不同要素,明确了国内价值链主要划分为生产者驱动价值链、购买者驱动价值链、原材料驱动价值链和混合驱动价值链4种形式,重点分析了在不同价值链下地方产业集群升级的重点和方向,提出了不同的地方产业集群升级模式和内在机理。     

Comparison of two rainfall–runoff models: effects of conceptualization on water budget components

Rainfall–runoff models with different conceptual structures for the hydrological processes can be calibrated to effectively reproduce the hydrographs of the total runoff, while resulting in water budget components that are essentially different. This finding poses an open question on the reliability of rainfall–runoff models in reproducing hydrological components other than those used for calibration. In an effort to address this question, we use data from the Glafkos catchment in western Greece to calibrate and compare the ENNS model, a research-oriented lumped model developed for the river Enns in Austria developed for the river Enns in Austria, with the operational MIKE SHE model. Model performance is assessed in the light of the conceptual/structural differences of the modelled hydrological processes, using indices calculated independently for each year, rather than for the whole calibration period, since the former are stricter. We show that even small differences in the representation of hydrological processes may impact considerably on the water budget components that are not measured (i.e. not used for model calibration). From all water budget components, direct runoff exhibits the highest sensitivity to structural differences and related model parameters.

EDITOR M.C. Acreman

ASSOCIATE EDITOR S. Huang     

我国海水养殖珍珠业存在的问题及对策

在详细分析我国海水珍珠养殖业存在问题的基础上，提出了统一规划海区，定量、低密度和开展外海深水海区珍珠养殖；加速大型珍珠贝全人工养殖与育珠的研究，丰富养殖品种；建立良种场、实行马氏珠母贝种质复壮；加强技术推广，延长育珠期、提高珍珠质量；抓好珍珠深加工、开拓珍珠产业链；建立龙头企业，带动珍珠业向集约型发展等可持续发展对策。     

A multi-level perspective on climate risks and drivers of entrepreneurial robustness – Findings from sectoral comparison in alpine Austria

Recent works on organizational adaptation to climate change have repeatedly stressed that – despite concerns about large-scale impacts of climate change on supply chain networks – studies on climate change adaptation in manufacturing industries are still surprisingly scarce. The following study develops a systemic analytical framework based on which climate risks for manufacturing industries are reviewed and drivers (defined as supportive factors) of entrepreneurial robustness are examined. The analysis builds upon a case study in the alpine Austrian state of Tyrol where an intense regional rise of average temperatures occurs, going along with increased risks of natural mountain hazards and exposed settlement structures. In this climate-sensitive setting the authors conducted a survey on risk perceptions among 102 managers from manufacturing firms. Based on a comparison of the sectors metal and engineering, timber products, and construction, the authors argue that drivers of entrepreneurial robustness can be subsumed under five major strategic principles: (a) the deployment of slack resources, (b) vertical supply chain integration, (c) manufacturing flexibility, (d) material efficiency, and (e) technological risk prevention. Departing from the empirical results, the authors argue that across these principles the development of drivers depends on an interplay of structural prerequisites and human decisions on the levels of the focal firm, the supply chain network, and the political, economic, and geographic environment. In this sense, the authors conceptualize different forms of contingencies – thus effects influencing the development of drivers – within an ontology which may support further system-oriented analysis of climate change adaptation in industry.     

Accuracy of forecasting in a Nordic paper mill's supply chain: A case study

The article compares the accuracy of forecasted and actual supply chain cost and price factors in a Nordic paper mill's sales to customers in two large European countries. Empirical longitudinal research data covering the years between 2002 and 2008 were obtained from a large integrated Finnish paper mill, and consisted of sales volumes, paper prices, variable costs, and transport costs. It was expected that the mill would be able to forecast demand, prices and costs accurately, but the empirical findings showed that the forecasts for paper price, demand, and cost varied from one market to another and were not highly accurate. In addition, the forecasting of gross margins seemed to be very inexact. It is concluded that there is a need for more reliable forecasting methods in the paper industry to anticipate economic development as paper demand and costs change.