论新时期农业银行经营战略的调整

目前在农业银行众多的改革取向上,对居于主导和战略地位的经营战略调整研究,具有现实指导意义.农业银行所面临的内外部客观因素影响,为实施经营战略调整提供了可能和必要条件,农业银行自主性发展选择,提供了战略调整的直接动力.经营战略调整所涉及调整的范围和方向,调整的市场定位与方法,以及调整的具体内容,综合起来是一项系统性工程.     

近三年广东省现金持续大投放的理论与实证分析

本文从理论和实证两个层面对广东省现金持续超常投入现象进行了深入剖析，分析结果表明，广东省现金超常投放是广东省经济总量较大和商品交易活跃的伴生物，是其特殊的开放型经济结构的产物，是居民持现的流动性收益与机会成本博弈的结果，同时，广东现金超常投放也是交易主体现金结算意愿上升，社会信用状况较差和结算工具严重滞后的直接体现。     

从紧货币政策背景下的民间融资新变化

从紧货币政策的出台和实施使民间融资呈现出需求意愿上升、融资难度加大、融资成本提高、融资渠道变窄、实物交易日趋活跃、信用风险加大等新特点;同时,民间融资对当前经济金融的影响也日益加深。因此,要研究制定和出台政策措施,探索民间融资模式,建设和谐生态环境,完善配套措施,规范民间借贷行为,引导规范民间金融,促进其健康发展。     

技术创新与制度创新协同模型构建——基于黑龙江省煤炭行业

通过运用熵理论与耗散结构对黑龙江省煤炭行业技术创新与制度创新进行协同研究,构建相应的模型,为后期的实证研究打好基础。目的是促进黑龙江省煤炭企业的技术创新与制度创新的协同建设部署战略规划。     

基于DEA模型的商业银行绿色信贷效率研究——以吉林省为例

"支持绿色金融、推进绿色发展"是党的十九大制定的重要战略部署,表明绿色信贷体系建设已成为中国绿色经济发展的战略重心.本文基于吉林省数据,采用数据包络分析法对全省15家商业银行绿色信贷效率进行评价,分析商业银行绿色信贷业务发展存在的难点和问题,为下一步更好地落实绿色信贷政策提供建议.     

Using workplace population statistics to understand retail store performance

We explore the value of recently released workplace geographies and accompanying census-based workplace zone statistics (WZS) and an associated classification of workplace zones (COWZ). We consider how these data could support retailers in their operational and strategic decision-making, including the evaluation of retail demand and retail store performance in localities where trade is driven by non-residential demand. In collaboration with major UK grocery retailer The Co-operative Group we explore the relationship between workplace population composition and store trading characteristics using a series of case study stores within Inner London. We use empirical store trading data to identify store and product category level temporal sales fluctuations attributable to workplace populations. We also use census-derived flow data to identify the spatial origins of workplace population inflow. We identify that store performance exhibits characteristics attributable to demand driven by these populations. We conclude that workplace population geographies, WZS and the COWZ afford considerable potential for understanding drivers of store performance, observed store trading patterns and evaluation of retail store performance. We suggest that the next step is to build these populations and their micro geography spatial and temporal characteristics into predictive models and evaluate their potential for store performance evaluation and location-based store and network decision-making within this sector.