环境保护与外商直接投资的区位选择

构建了包含环境管制和人力资本变量的企业区位选择模型,利用1997-2007年中国各省的面板数据,经分析发现除了传统的市场规模、公共设施配套和劳动力成本等影响因素之外,环境管制强度对外商直接投资(FDI)的区位选择具有显著的阻碍作用,较高的人力资本则有利于吸引外商直接投资(FDI),并在此基础上提出了对策建议。     

Cross-section dependence and the monetary exchange rate model – A panel analysis

This paper tackles the issue of cross-section dependence for the monetary exchange rate model in the presence of unobserved common factors using panel data from 1973 until 2007 for 19 OECD countries. Applying a principal component analysis we distinguish between common factors and idiosyncratic components and determine whether non-stationarity stems from international or national stochastic trends. We find evidence that the common factors are I(1) while the idiosyncratic components are I(0). This finding indicates that cross-member cointegration exists and non-stationarity in exchange rates and fundamentals is mainly driven by common international trends. We find evidence that the common factors of the exchange rates and fundamentals are cointegrated. In addition, the estimated long-run coefficients of this common international relationship are in line with the suggestions of the monetary model with respect to income and money.     

基于神经网络的粮食物流中心选址决策研究

粮食物流中心建设是一项规模大、投资多、影响巨大的系统工程。选址决策对整个粮食物流系统的优化十分重要。阐述了粮食物流中心选址的原则和影响因素,分析了神经网络用于粮食物流中心选址的优点,构建了基于BP神经网络的粮食物流中心选址决策模型,并用算例说明了该方法的有效性。     

基于模糊综合评价法的居民住宅区位选择研究

分析影响居民住宅区位选择的因素,并建立评价指标体系,采取模糊综合评价的方法,从微观层次上出发,对居民在住宅区位选择时考虑的主要因素建立模糊综合评价模型,得出各个住宅小区的模糊综合评价值,为居民选择住宅区位提供参考依据,弥补了目前国内在有关方面定性分析的不足之处。同时,将模糊综合评价法用于居民住宅区位选择的研究,也为房地产开发商了解购房者消费趋向提供了参考依据。     

我国对外直接投资的区位和产业选择

在对外直接投资过程中,正确的区位选择对企业获取生产要素,从而获取最佳投资收益至关重要。本文分析了我国企业对外直接投资区位选择的影响因素,结合中国国情和产业自身的特点,对我国企业对外直接投资的区位选择提出了策略性建议。     

Model selection with estimated factors and idiosyncratic components

This paper provides consistent information criteria for the selection of forecasting models that use a subset of both the idiosyncratic and common factor components of a big dataset. This hybrid model approach has been explored by recent empirical studies to relax the strictness of pure factor‐augmented model approximations, but no formal model selection procedures have been developed. The main difference to previous factor‐augmented model selection procedures is that we must account for estimation error in the idiosyncratic component as well as the factors. Our main contribution is to show the conditions required for selection consistency of a class of information criteria that reflect this additional source of estimation error. We show that existing factor‐augmented model selection criteria are inconsistent in circumstances where N is of larger order than , where N and T are the cross‐section and time series dimensions of the dataset respectively, and that the standard Bayesian information criterion is inconsistent regardless of the relationship between N and T. We therefore propose a new set of information criteria that guarantee selection consistency in the presence of estimated idiosyncratic components. The properties of these new criteria are explored through a Monte Carlo simulation study. The paper concludes with an empirical application to long‐horizon exchange rate forecasting using a recently proposed model with country‐specific idiosyncratic components from a panel of global exchange rates.     

Does digital service trade boost technological innovation?: International evidence

Digital technology is profoundly changing the international economic and trade pattern, and digital service trade is increasingly becoming an important carrier of transnational knowledge spillover. This study investigates the relationship between digital service trade and technological innovation. Based on the panel data of 131 countries from 2005 to 2020, empirical results show that digital service trade significantly promotes technological innovation. This study shows that digital service trade can promote technological innovation through four mechanisms: increasing income incentives, accelerating knowledge spillover, triggering trade liberalization, and promoting financial deepening. The results of panel threshold model show that economic development, urbanization, and population aging can lead to regime changes in the innovation effect of digital service trade. In addition, the results of heterogeneity test show that national characteristics such as economic development, per capita income, industrialization, and economic freedom, influence the innovation effect of digital service trade. Our findings have implications for developing an international innovation cooperation system based on digital service trade.     

基于BP神经网络的逆向物流中心选址模型研究

逆向物流中心选址是逆向物流中关键问题之一。文章根据逆向物流的物流环境、生产能力、经济效益三个方面的9个评价指标,用BP神经网络建立了逆向物流中心选址的评价模型。应用示例表明该模型具有较高的精度和效率,在逆向物流中心选址中具有较好地应用价值。     

垃圾发电厂选址约束条件分析

从生态环境角度来讲,垃圾是污染物,但从资源方面看,垃圾是一种很有前景的可再生资源。利用垃圾作为燃料来进行发电,不但清理了工业生活垃圾,也满足了电量不足,为社会分担了一定的发电压力。其中,垃圾发电厂的选址直接关系到了整个垃圾发电厂以后的发展,有时会因为垃圾发电厂的选址引起社会问题并影响发电厂的建设。论文首先分析了垃圾发电厂选址存在的问题,提出了垃圾发电厂选址的目标和原则,并阐述了垃圾发电厂选址的步骤。然后,介绍了模糊认知图模型的理论和方法,分析影响垃圾发电厂选址的因素,建立了动态的因素影响模型,并确定了因素之间因果影响程度值的计算方法。最后,介绍了多目标优化模型的基本理论,在一定的假设条件下,从影响垃圾发电厂选址的技术、经济、环境和社会四个方面,分别建立子目标函数,确定了约束条件。     

Organizational structure characteristics’ influences on international purchasing performance in different purchasing locations

This study contributes to the understanding of how firms should structure their purchasing organization to improve their performance. While the research into structural characteristics’ impacts on purchasing performance is evolving, it is still incomplete, especially concerning the contingencies on different purchasing environments. Drawing on ideas from the organizational information processing and contingency approaches as well as the international business literature, the present study proposes a model in which three key organizational structure characteristics – centralization, standardization, and specialization – are associated with purchasing performance. This study posits that the relationships are contingent on a purchasing location’s formal and informal institutional context. Based on a sample of 195 German manufacturers, the model is empirically tested using structural equation modeling. The findings support the relevance of organizational structure characteristics for international purchasing and firm performance and they also support the notion that the effects are contingent on the purchasing location’s institutional context.     

A hybrid multi-criteria decision making approach for strategic retail location investment: Application to Turkish food retailing

Retail location selection decision is a critical and complex process which requires the evaluation and aggregation of multiple criteria and also the usage of appropriate data related to them. This study handles the problem at a strategic level and proposes a Monte Carlo simulation based multi-criteria strategic location decision model for food retailing. This model integrates two multi-criteria decision making (MCDM) methods which are Hesitant Analytic Hierarchy Process (H-AHP) and Grey Relational Analysis (GRA) methods. Firstly, H-AHP method is used to obtain the weights of criteria to be used in GRA based on the experts' judgements. Secondly, simulation based GRA is used for ranking the alternative locations. Finally, the effectiveness and the applicability of the proposed model is illustrated with an application of strategic location investment decision of food retail stores in Turkey.     

创新水平对电信设备企业出口影响的实证研究

本文使用中国电信设备企业的面板数据,首先运用固定效应模型与随机效应模型,实证检验了影响中国电信设备企业出口的因素。然后考虑到企业出口决定和出口量是两个相互联系的过程,我们采用Heckman两步选择模型进行估计发现:创新水平、人均工资、人均产出、以及宏观经济政策对中国电信设备企业的出口增加决定和出口增加都存在显著为正的影响。     

基于层次分析法的我国物流企业区位选择影响因素研究

从物流企业区位选择的原则及其影响因素进行分析,建立物流企业区位选择影响因素的层次分析评价模型,为物流企业的区位选择提供一定的指导意义。     

Exploring the role of FDI in enhancing the entrepreneurial activity in Europe: a panel data analysis

This paper explores the impact of foreign direct investment (FDI) on the entrepreneurial activity in 16 European countries. By using Global Entrepreneurship Monitor (GEM) data, which enables the distinction necessity-driven vs. opportunity-driven entrepreneurs, we assess the influence of both inward and outward FDI on the entrepreneurial activity during the time span 2005–2012. We resort to a static, as well as to a dynamic panel data analysis. Our findings highlight the fact that the FDI has no clear influence on the total entrepreneurial activity, or on the established business ownership rate. Nevertheless, our results clearly state that both inward and outward FDI positively influences the necessity-driven entrepreneurs, while having a negative impact on the opportunity-driven entrepreneurs. The results prove to be robust regarding the use of a fixed and random effects panel model, two stages least square (2SLS) model, as well as the use of a system-Generalized Method of Moments (system-GMM) approach.     

层次分析法在危险品配送中心选址决策中的应用

危险品配送中心选址是一类特殊问题的选址,文章通过建立危险品配送中心选址影响因素的层次分析评价模型,计算出各影响因素的权值,从而确定选址决策的主要影响因素。通过分析得出层次分析法在选址问题的决策中具有很好的效果     

零售连锁企业配送中心选址问题研究

在分析配送中心选址的一般方法的基础上,提出了适合零售连锁企业配送中心选址的两阶段选址方法。其中第一阶段为定性分析,分析零售连锁企业配送中心选址的影响因素,根据主要因素建立指标体系进行备选地的初步筛选;第二阶段为定量分析,利用节约法精选零售连锁企业配送中心位置。最后给出一个实例,说明该选址方法的有效性。     

Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection

This paper proposes an estimation strategy that exploits recent non-parametric panel data methods that allow for a multifactor error structure and extends a recently proposed data-driven model-selection procedure, which has its roots in cross validation and aims to test whether two competing approximate models are equivalent in terms of their expected true error. We extend this procedure to a large panel data framework by using moving block bootstrap resampling techniques in order to preserve cross-sectional dependence in the bootstrapped samples. Such an estimation strategy is illustrated by revisiting an analysis of international technology diffusion. Model selection procedures clearly conclude in the superiority of a fully non-parametric (non-additive) specification over parametric and even semi-parametric (additive) specifications. This work also refines previous results by showing threshold effects, non-linearities, and interactions that are obscured in parametric specifications and which have relevant implications for policy.     

基于配送中心合理选址问题研究

物流配送中心选址是否合理,对物流中心的功能发挥与整体的经营效益会带来很大的影响。在从配送中心整体规划设计的基础上,对配送中心的选址问题进行深入的研究。首先阐述配送中心的作用及重要性引出配送中心合理选址的关键;其次从配送中心选址的方法着手进一步分析选址要求;最后根据当今经济的发展阐述配送中心选址的发展趋势。