当代资本主义经济停滞问题:制度结构与治理危机——基于积累的社会结构理论的分析

关于经济停滞问题的探讨是对马克思主义经济危机理论的传承。2008年金融危机爆发十余年,资本主义经济停滞趋于常态化。积累的社会结构理论从资本积累与支撑这一积累的制度环境之间的矛盾出发,发现了主流经济学探讨资本主义经济停滞所忽略的制度性因素。积累的社会结构学派沿着"中间层次"的路径,将2008年金融危机界定为系统性的结构危机,认为新自由主义SSA的失灵是此次经济停滞持续的原因。资本主义经济停滞引发欧美发达资本主义国家的社会治理危机升级,一系列政治、社会和文化危机不断加剧。积累的社会结构理论从微观层面深刻把握了资本主义制度转型的轨迹,但并未深入探讨开展根本的制度变革。在面临百年未有之大变局的时代境遇下,中国在参与全球治理的过程中不断探索并推动世界经济政治新秩序朝着更加公正、合理的方向发展。     

Response strategy to environment context factors using a lean and agile approach: Implications for firm performance

Based on the environment-strategy performance perspective and dynamic capabilities framework, we develop a theoretical model and hypotheses specifying how supply chain collaboration as a response to environment context factors – competitive intensity, supply uncertainty, technological turbulence and market turbulence, using a lean and agile strategy may influence firm performance. We test the model using partial least square structural equation modelling on data collected from a field survey with responses from 152 manufacturing firms representing a variety of industries. Empirical findings generally support the relationship between collaboration and firm performance using a lean and agile strategy. Also, for firms in industries that face environments characterised by high supply uncertainty and competitive intensity with, technological turbulence, the study finds evidence of a direct relationship between these environmental factors and supply chain collaboration. The findings provide an initial strategic response framework for appropriately aligning a lean and agile supply chain strategy through collaboration with environment context factors to achieve firm performance improvements.     

英汉基本句类主位结构对比及翻译

从语篇分析的角度,运用系统功能语法理论,通过对英汉基本句类的主述位结构的对比分析,探讨如何在翻译中处理主述位错位现象的问题。     

Modelling daily multivariate pollutant data at multiple sites

Summary. This paper considers the spatiotemporal modelling of four pollutants measured daily at eight monitoring sites in London over a 4-year period. Such multiple-pollutant data sets measured over time at multiple sites within a region of interest are typical. Here, the modelling was carried out to provide the exposure for a study investigating the health effects of air pollution. Alternative objectives include the design problem of the positioning of a new monitoring site, or for regulatory purposes to determine whether environmental standards are being met. In general, analyses are hampered by missing data due, for example, to a particular pollutant not being measured at a site, a monitor being inactive by design (e.g. a 6-day monitoring schedule) or because of an unreliable or faulty monitor. Data of this type are modelled here within a dynamic linear modelling framework, in which the dependences across time, space and pollutants are exploited. Throughout the approach is Bayesian, with implementation via Markov chain Monte Carlo sampling.     

企业成长过程中组织结构演进规律及动因

阐述企业成长过程中组织结构的演变规律,运用管理学及经济学相关理论,揭示组织结构演变的内在动因。分析表明,随着企业的成长,组织结构呈现从直线职能制到事业部制的规律性变化,从管理学意义上,这种变化极大地降低了生产成本和流通费用,从而取得了管理协调的“速度经济”;从经济学意义上,则意味着管理分工导致企业运营效率提高;更深层次看,是一个分权的、控制权较为明晰的组织模式被逐渐使用,最终导致一个均衡权力结构模型———联邦分权式事业部制的产生。     

浅谈提高英语阅读能力

本文指出学生综合运用英语阅读能力的重要性,并提出提高学生英语阅读能力所采用的方法。经过教学实验证明,如果学生掌握了一些阅读技巧,就会提高阅读速度和阅读理解能力。     

英汉句法的比较和转换

英汉句法存在三种最基本的差异 ,即树型结构和线型结构、形合法和意合法以及句子界线的差异。在此基础上 ,着重介绍英汉互译过程中的三种转换方法     

论建设农村全面小康社会的途径

文章将建设农村全面小康社会作为一项系统工程进行研究，既指出建设农村全面小康社会要依靠农业自身的发展，又阐述了从其他途径建设农村全面小康的可能性、必要性。     

Quantifying uncertainty in the biospheric carbon flux for England and Wales

Summary.  A crucial issue in the current global warming debate is the effect of vegetation and soils on carbon dioxide (CO₂) concentrations in the atmosphere. Vegetation can extract CO₂ through photosynthesis, but respiration, decay of soil organic matter and disturbance effects such as fire return it to the atmosphere. The balance of these processes is the net carbon flux. To estimate the biospheric carbon flux for England and Wales, we address the statistical problem of inference for the sum of multiple outputs from a complex deterministic computer code whose input parameters are uncertain. The code is a process model which simulates the carbon dynamics of vegetation and soils, including the amount of carbon that is stored as a result of photosynthesis and the amount that is returned to the atmosphere through respiration. The aggregation of outputs corresponding to multiple sites and types of vegetation in a region gives an estimate of the total carbon flux for that region over a period of time. Expert prior opinions are elicited for marginal uncertainty about the relevant input parameters and for correlations of inputs between sites. A Gaussian process model is used to build emulators of the multiple code outputs and Bayesian uncertainty analysis is then used to propagate uncertainty in the input parameters through to uncertainty on the aggregated output. Numerical results are presented for England and Wales in the year 2000. It is estimated that vegetation and soils in England and Wales constituted a net sink of 7.55 Mt C (1 Mt C = 10¹² g of carbon) in 2000, with standard deviation 0.56 Mt C resulting from the sources of uncertainty that are considered.     

Bias Correction in the Dynamic Panel Data Model with a Nonscalar Disturbance Covariance Matrix

Approximation formulae are developed for the bias of ordinary and generalized Least Squares Dummy Variable (LSDV) estimators in dynamic panel data models. Results from Kiviet [Kiviet, J. F. (1995), on bias, inconsistency, and efficiency of various estimators in dynamic panel data models, J. Econometrics68:53-78; Kiviet, J. F. (1999), Expectations of expansions for estimators in a dynamic panel data model: some results for weakly exogenous regressors, In: Hsiao, C., Lahiri, K., Lee, L-F., Pesaran, M. H., eds., Analysis of Panels and Limited Dependent Variables, Cambridge: Cambridge University Press, pp. 199-225] are extended to higher-order dynamic panel data models with general covariance structure. The focus is on estimation of both short- and long-run coefficients. The results show that proper modelling of the disturbance covariance structure is indispensable. The bias approximations are used to construct bias corrected estimators which are then applied to quarterly data from 14 European Union countries. Money demand functions for M1, M2 and M3 are estimated for the EU area as a whole for the period 1991: I-1995: IV. Significant spillovers between countries are found reflecting the dependence of domestic money demand on foreign developments. The empirical results show that in general plausible long-run effects are obtained by the bias corrected estimators. Moreover, finite sample bias, although of moderate magnitude, is present underlining the importance of more refined estimation techniques. Also the efficiency gains by exploiting the heteroscedasticity and cross-correlation patterns between countries are sometimes considerable.