Kernel spatial density estimation in infinite dimension space

In this paper, we propose a nonparametric method to estimate the spatial density of a functional stationary random field. This latter is with values in some infinite dimensional normed space and admitted a density with respect to some reference measure. We study both the weak and strong consistencies of the considered estimator and also give some rates of convergence. Special attention is paid to the links between the probabilities of small balls and the rates of convergence of the estimator. The practical use and the behavior of the estimator are illustrated through some simulations and a real data application.     

Learning curves in collaborative planning,forecasting, and replenishment (CPFR) information systems: An empirical analysis from a mobile phone manufacturer

While Collaborative Planning, Forecasting, and Replenishment (CPFR) information systems have been increasingly deployed to improve supply chain operations in a cross section of industries, the extant literature has largely overlooked the learning effects within organizations, thereby resulting in incomplete assessment of their business value. Using an operational-level panel data for nine product lines over 2.5 years, we empirically examine the learning curves in CPFR between Motorola, a mobile phone manufacturer, and one of its U.S.-based national retail partners. We found that the two key components of CPFR, collaborative forecasting (CF) and collaborative replenishment (CR), exhibit distinct learning curves. Forecast accuracy improves immediately following CPFR implementation but the rate of improvement slows over time, whereas inventory levels increase at first and begin decreasing after a period. Further, we found different learning effects in terms of inventory levels when products are later replaced with new form factors. Product replacements have lower inventory levels than their antecedents, at least for low-end products. We discuss important implications for theory and practice at the interface of information systems and operations management.     

Mode of Entry and the Regional Distribution of Foreign Direct Investment in China

In this paper we re-examine the regional determinants of FDI in China using both total FDI flows, and FDI flows disaggregated by entry mode. Building on both the FDI location and entry mode choice literatures, we argue for the existence of mode-specific location advantages, and test for their existence. We first specify and estimate a location model of aggregate FDI flows to Chinese regions. Using the aggregate model as a benchmark, we then estimate separate equations for each of three different entry modes (wholly-owned subsidiaries, equity joint ventures and cooperative joint ventures), and compare the results with the aggregate model. The results indicate that mode-specific location advantages do exist, at least within China, but they are limited to a small number of factors. In particular, we identify the accumulated stock of FDI as being more likely to attract high control modes of entry, while existing policies to attract FDI are more likely to attract lower control modes of entry.     

私募股权投资、投资者情绪与科技型企业R&D投入

根据2009-2017年深圳证券交易所科技型上市企业相关面板数据,研究私募股权投资、投资者情绪与企业R&D投入之间的关系。研究发现：存在私募股权投资的科技型企业R&D投资强度更大;投资者情绪在私募股权投资与企业R&D投入之间起中介效应,即存在私募股权投资的科技型企业的投资者情绪更为高涨,高涨的投资者情绪会促使企业加大R&D投入。企业异质性检验发现,不同于国有企业和外资企业,民营企业的投资者情绪在私募股权投资与研发投入中的中介效应更加显著,并且处于不同生命周期的企业,无论是年轻企业还是成熟企业,投资者情绪的中介效应均不显著。将投资者情绪纳入分析框架,深入研究私募股权投资对企业研发活动的影响,对私募股权投资机构、企业、政府等进行科学决策具有重要理论价值和实践意义。     

对雇佣关系研究的新视角——心理契约的维度之影响

文章从心理契约的维度方面考量不同雇佣关系下员工的心理契约的特点,以及由此对其态度和行为产生的影响。从这个角度进行的研究可以提前预见不同雇佣关系中所蕴含的期望及问题,为改善组织对于各种雇佣关系的管理、提高员工的工作满意度及减少劳动纠纷提供了新的途径。     

承接外包与对外发包对工业行业价值链影响的差异分析

随着全球生产分工体系的进一步发展,中国参与国际化承接外包和对外发包生产方式的程度和规模呈不断膨胀趋势,这种趋势还伴随着价值链水平的提升而加强,本文着重探讨了承接外包和对外发包对中国工业行业价值链影响的差异性。研究结论表明：承接加工品、零配件和资本品工序外包对价值链的提升具有正向影响,并且这种正向影响较为稳定且逐渐增强;承接消费品工序外包对价值链的提升效应难以确定;材料发包比率的提高会降低行业的价值链水平,平均工序环节外包对价值链的正向影响会随着材料发包的提高而削弱;服务发包比率的提高会增加行业价值链的水平,平均工序环节外包对价值链的正向影响会随着服务发包的提高而增强。     

家庭债务与居民消费：一个文献综述

近年来我国家庭杠杆率快速上升,家庭债务与居民消费关系引发热议,相关文献 反映出：（1）家庭适度负债能促进消费增长;（2）家庭杠杆率上升存在临界值;（3）快速加 杠杆是主要风险来源;（4）识别家庭债务异质性可以缓解信贷约束。目前我国家庭杠杆率依 然处于合理区间,但需重视快速加杠杆带来的风险隐患。为保持居民消费平稳增长,本文提出 从供给侧优化金融条件,从需求侧约束快速加杠杆行为,并发挥减税的收入调节作用等建议。     

油田操作成本经济界限模型研究

本文以操作成本经济界限为研究对象,运用技术经济学原理,结合某油田的实际情况,在设置众多可以赋值的参数的条件下,建立了操作成本经济界限模型,在此基础上,根据操作成本经济界限模型对其参数进行赋值,测算在不同井深、综合递减率、单井日产量下的操作成本经济界限。最后运用统计软件SPSS对测试数据进行分析,得到了操作成本经济界限与井深、综合递减率、单井日产量呈高度相关关系,并得到了以井深、综合递减率、单井日产量为自变量,操作成本经济界限为因变量的线性相关模型,对油田今后合理的分配操作成本提供了科学的依据。     

基于Delphi的隧道传感器监测信息管理系统的研究

传感器信息管理已是隧道结构变形监测中一项重要的工作。为了快速、准确地管理监测信息,及时分析预报隧道结构的变化状况,文章针对隧道结构变形监测实例,结合数据库和Delphi语言开发了一套具有数据修改、存储、删除、查询、计算处理、可视化图像分析及限值预警等功能的信息管理系统,对隧道传感器数据的处理方法提供了新方向。     

石油资源安全评价中的指标赋权法研究

本文针对国家石油资源安全风险评价这一问题,尝试利用风险主体有规避风险的本能这一原理,引入"风险可控系数"这一概念,构建一种主客观相结合的指标赋权方法模型。通过该模型计算出来的指标权重与其他方法计算得出的结果基本吻合,从而表明该模型具有其可行性。