Market orientation and customer satisfaction: Evidence from British machine tool industry

This paper examines empirically the relationship between market orientation and business performance in the context of British machine tool industry. An industry-specific market orientation scale was developed. Factor analysis revealed that there were four latent dimensions underlying the market orientation: customer orientation, competitor orientation, departmental responsiveness, and customer satisfaction orientation. Findings suggest that customer orientation and customer satisfaction orientation have a stronger impact on performance than the other dimensions, and that competitor orientation has a U-shape relationship with performance. Departmental responsiveness did not appear to be significantly related to the business performance. Managers could use the multidimensional conceptualization to develop particular kinds of orientations required for better performance.     

Firm orientations, innovativeness, and business performance: Advancing a system dynamics view following a comment on Hult, Hurley, and Knight's 2004 study

Hult, Hurley, and Knight's [Ind. Mark. Manage. 33 (2004) 429.] study reports correlations for each of the three subfactors of market orientation (competitor orientation, customer orientation, and interfunctional coordination) and innovativenss. However, their report fails to discuss the nature of these relationships. Such findings are worthy of discussion because they support prior evidence demonstrating the centrality of customer orientation in linking competitor orientation and interfunctional coordination with both innovativeness and business performance. Also, the finding that interfunctional coordination relates strongly with innovativeness supports the paradigm shift toward relationship marketing. The point needs mentioning that several different (more than one) standardized effects, structural equation models explain similar amounts of variance of business performance besides the models that Hult et al. examine. Thus, the implication by Hult et al. (p. 436) that “…learning orientation has no significant direct effect on performance” is accurate only for the model tested (shown in their Fig. 2). Applying the “quick clustering” method helps to inform interpretation when nearly all relationships among variables are statistically significant. The present article includes a proposal for advancing from one-directional structural equation modeling of innovativeness and business performance to system dynamics modeling that includes real-world feedback loops.     

中国与东南亚国家贸易潜力及影响因素研究——基于随机前沿引力模型

运用时变随机前沿引力模型和贸易非效率模型,以1998-2016年中国及东南亚九个国家面板数据为样本,测度中国对东南亚国家出口贸易潜力,并分析其主要影响因素。结果表明：1998-2016年中国对东南亚国家出口贸易潜力呈现先上升后下降趋势,依然有较大提升空间,中国对东南亚国家出口贸易潜力差异较大。航空运输货运量、货币自由度、财务自由度、商业自由度及世界贸易组织成员国均对出口贸易非效率具有显著的影响。     

中国经济波动的产出和通胀效应 ——基于供求冲击相关的SVAR模型分析

本文结合产出缺口-通胀形式的菲利普斯曲线（AS曲线）,构建了产出缺口和通 胀率的SVAR模型,并将识别结果同B-Q约束条件下的识别结果进行比较,以此来探究我国近 三十多年来宏观经济系统中需求冲击和供给冲击对产出和通胀动态的效应。主要得出以下结 论：第一,供求冲击之间高度相关;第二,需求冲击是我国通胀波动的决定性因素,并且存在 持久稳定的效应。第三,供给冲击是我国经济增长的绝对主导力量。第四,我国存在相对陡峭 的菲利普斯曲线（AS曲线）。第五,产出缺口与同比CPI对我国经济状况的拟合效果最好。     

Optimizing the credit term decisions in supply chain finance

We study a credit term determination problem in the context of a supplier-buyer supply chain. The supplier's credit term decision is simultaneously made with its production and inventory decisions, and most importantly, it is impacted by the buyer's order quantity. We present a new game-theoretic framework to model this problem, which captures the interaction between the supplier's credit term decision and the buyer's order decision in a multi-period setting. An exact method based on nonlinear programming is implemented to obtain the optimal solutions. We apply our methodologies on a real world case. The computational results show that our approach significantly outperforms the heuristics with fixed credit terms, and either a short or a long credit term can be sub-optimal for the supplier in profitability. Our work offers the first data-driven model and solution approach that assists purchasing and supply managers to make optimal dynamic credit term decision in conjunction with production, ordering and inventory decisions in a game-theoretic setting.     

Forecasting U.S. money growth using economic uncertainty measures and regularisation techniques

This paper examines the out-of-sample forecasting properties of six different economic uncertainty variables for the growth of the real M2 and real M4 Divisia money series for the U.S. using monthly data. The core contention is that information on economic uncertainty improves the forecasting accuracy. We estimate vector autoregressive models using the iterated rolling-window forecasting scheme, in combination with modern regularisation techniques from the field of machine learning. Applying the Hansen-Lunde-Nason model confidence set approach under two different loss functions reveals strong evidence that uncertainty variables that are related to financial markets, the state of the macroeconomy or economic policy provide additional informational content when forecasting monetary dynamics. The use of regularisation techniques improves the forecast accuracy substantially.     

疫情改变了我国FDI流入的影响因素吗?

根据联合国贸发会的统计数据,疫情对FDI的影响程度已经远超2008年全球金融危机。在此背景下,本文通过理论分析和实证检验探讨疫情对中国FDI流入的影响、疫情是否改变了我国FDI流入的影响因素和疫情常态化下我国FDI流入恢复的支撑因素等。断点回归模型结果显示,新冠疫情对各样本省市FDI流入的影响属于中短期效应,疫情并没有导致影响样本省市FDI流入的因素发生本质变化,且各样本省市FDI流入受疫情影响不同、恢复快慢也不同。进一步的统计分析和实证检验显示,FDI流入在样本省市均具有较强的惯性,中部地区的湖北和江西FDI流入受经济变量的影响比较显著,而东部地区的广东、江苏和上海FDI流入的影响因素应更多地考虑营商环境、产业结构特征和人力资本等,此外基础设施对样本省市FDI流入的影响并不显著。     

金融集聚对收入增长的溢出效应及区域异质性研究

金融业的一个重要特征是金融集聚。本文基于2010-2020年我国31个省的面板数据,通过计算全国金融业的莫兰指数来确定金融三大产业银行业、保险业和证券业集聚的空间依赖性,运用空间杜宾模型研究金融集聚对收入增长溢出效应的区域异质性。结果表明,银行业集聚对三大区域收入增长的空间溢出效应显著为正;保险业集聚存在对东部地区与中部地区正向的收入溢出效应,对西部地区的溢出效应显著为负;证券业集聚存在对东部与西部地区负向的收入溢出效应,对中部地区的溢出效应为正但不显著。因此,差异化的政策引导与区域间协调的金融资源配置对区域收入稳定增长意义重大。     

太行山区耕地整理适宜性评价及障碍因子诊断——以河北省涞源县为例

[目的]耕地整理适宜性评价是土地整治规划的基础,可以为划定耕地整理重点区域、确定耕地整理项目和整理时序提供依据。[方法]文章以位于太行山区的涞源县为研究区域,以现状耕地图斑为评价单元,经独立性分析后选取地形坡度、表层土壤质地、灌溉保证率、耕地系数、与道路距离、与城镇中心距离、地质灾害易发性7个评价指标,运用贝叶斯概率模型计算各指标权重及未整理耕地的整理后验概率,并得到研究区未整理耕地的适宜性空间分布。同时根据改进的障碍因子诊断模型,分析了各适宜整理区的障碍因子并提出相应的整理措施。[结果](1)在影响涞源县耕地整理的各因素中,影响程度从小到大依次是表层土壤质地、与城镇中心距离、耕地系数、地形坡度、与道路距离、地质灾害易发性和灌溉保证率;(2)在涞源县未整理耕地中,高适宜整理区与较适宜整理区占未整理耕地的20.79%,可作为涞源县下一步耕地整理的选择;(3)制约涞源县全域耕地质量的障碍因子是灌溉保证率,整理过程中应根据实际情况科学寻找灌溉水源、结合地形条件采用蓄、引、提相结合的方式合理布设农田水利设施,提高水资源利用率。[结论]该文可为太行山区更科学合理地开展耕地整理项目提供依据。     

汇率冲击和行业就业调整

根据Campa和Goldberg的贸易结构理论,我们对国内15个行业就业和汇率间的关系进行了实证研究。结果发现大多数行业在汇率冲击后的反应和理论一致,即人民币升值会抑制其就业增长,而贬值有利于其就业扩张,尤其是对高开放度和劳动密集型行业影响显著。但由于其他行业就业汇率弹性并不显著,因此降低了整体就业汇率弹性的显著性。此外,由于我国各行业开放度高于美国,因此就业汇率弹性也较大。