一汽-大众奥迪品牌CKD中心仓储优化研究

针对X汽车制造厂多种车型尤其是新车型产量的增加,加大了CKD中心的零部件库存量、越库作业量的现状.为了提高CKD中心的作业质量,克服土地资源局限性,投资规模等限制因素,制订了CKD中心仓储优化方案,提出通过安装钢结构平台、GLT组合式货架、优化零件存储周期、提高现有库房的空间利用率、减少库房间越库运输等组合措施提高库房空间利用率,并实证了方案的有效性.     

绿色食品的标识资产管理——理论框架与实证分析

绿色食品的标识资产是绿色营销中的一个新课题,借鉴品牌资产的概念,定义了绿色标识资产,并对绿色标识资产的关键驱动因素和对顾客忠诚的影响进行了系统的理论分析和实证研究。通过构建基于偏最小二乘法的结构方程模型发现,标识联想、标识感知质量和消费者介入程度对绿色标识资产起正向影响作用,进而对顾客忠诚产生显著、积极的影响。     

知识基础调节下合作网络对绿色技术创新的影响

绿色技术创新是绿色发展的重要动力,使用1985—2017年中国绿色技术专利数据,基于创新组织微观视角,运用负二项回归分析方法探究中心度、结构洞与聚集性3类合作网络特征对绿色技术创新的直接影响,以及知识广度、知识深度与知识融合性3类知识基础特征在上述影响中的调节作用。结果表明：①中心度与结构洞对绿色技术创新具有正向影响,聚集性对其具有负向影响;②知识广度削弱了中心度与结构洞的正向影响,同时削弱了聚集性的负向影响;知识深度强化了中心度与结构洞的正向影响,削弱了聚集性的负向影响;知识融合性在合作网络特征对不同类型绿色技术专利申请数的影响中具有不同的调节机制。最后,基于合作网络特征与知识基础特征优化视角,为我国企业、高校及科研院所等创新组织进行绿色技术创新提出相关政策建议。     

绿色创新生态系统生成机制研究

推动绿色创新生态系统生成是区域经济高质量发展的重要举措。通过分析绿色创新生态系统内涵和结构,基于超循环理论,探讨绿色创新生态系统生成过程,并利用江联重工集团案例分析,明确绿色创新生态系统形成动力要素。结果表明：绿色创新生态系统具有绿色发展性、生态性、动态演化性、高风险性和复杂性特征;绿色创新主体之间的相互作用关系,催生共生竞合、动态演化的超循环,而超循环体系能够加强绿色创新主体相互作用,推动绿色创新生态系统生成;资源配置与匹配效应、环境规制与市场导向、用户交互与敏捷响应、共生竞合与跨界整合是绿色创新生态系统生成的重要驱动因素。     

Choice and design of regulatory instruments in the presence of green consumers

Using a vertically differentiated product model, this paper examines welfare implications of various government policies in a situation where consumers are environmentally discerning. It studies ad valorem taxes/subsidies and emission taxes. The optimal policy depends on the magnitude of damage parameter associated with environmental externality. For a given distribution of tastes and preferences, as the damage parameter increases from a low to a high value, the optimal policy shifts from an ad valorem tax to an ad valorem subsidy. It also shows that for a sufficiently low damage parameter, an ad valorem tax dominates an emission tax.     

What do professional forecasters actually predict?

This paper studies what professional forecasters predict. We use spectral analysis and state space modeling to decompose economic time series into trend, business cycle, and irregular components. We examine which components are captured by professional forecasters by regressing their forecasts on the estimated components extracted from both the spectral analysis and the state space model. For both decomposition methods, we find that, in the short run, the Survey of Professional Forecasters can predict almost all of the variation in the time series due to the trend and the business cycle, but that the forecasts contain little or no significant information about the variation in the irregular component.     

Green multi-tier supply chain management: An enabler investigation

Stakeholder pressure, from actors including regulators, consumers and non-governmental organizations, has made organizations more responsible for poor environmental performance of their direct and sub-suppliers. Thus, green multi-tier supplier management (GMSM) has become an emergent topic. Yet it is still unclear how to enable GMSM practices effectively, i.e. how to enable sub-suppliers' environmental performance improvement. To help address the gap in the literature, this paper aims to identify enablers for sub-suppliers' environmental performance improvement, and it further applies a Decision-Making Trial and Evaluation Laboratory (DEMATEL)-based case study method to evaluate inter-relationships among these enablers and improve the focal company's GMSM practices, by using action research (AR) method principles. The data analysis and discussion with a follow-up evaluation after two years provided insights for the successful implementation of GMSM. The results show that top managers’ support from the organizations is a prominent and necessary foundational enabler. An interesting observation is that close proximity of supply chain members is regarded as a very prominent enabler. Evaluation and feedback on these enablers two years later found that the enabler mapping was beneficial, allowing them to address the most influential enablers, and thus the GMSM practices of the focal company has been highly improved. This paper concludes with directions for further research.     

基于引力模型的省域创新产出空间联系研究

基于引力模型,结合社会网络分析法的凝聚子群分析,对31个省（区、市）的创新产出空间联系进行探究,研究发现：我国省域创新产出空间联系主要集中于京津冀和长三角一带,呈现出严重的分布不均状况,具有较强的区域集中性和空间依赖性;北京、天津、上海、浙江、江苏作为区域创新产出引力较强的节点省（区、市）,对周边区域的创新产出具有较强的辐射作用;总体来看,省域创新产出空间联系并没有形成贯穿东西南北的交叉网状结构,中心省（区、市）数量较少且分布不均,辐射范围有限。基于此,提出加大区域创新投入、减少区域创新产出联系的政策性障碍、营造区域创新产出联系的良好环境等政策建议。     

中国城镇化包容性发展中的公共投资支持影响研究

本文通过构建城镇化包容性发展指标体系,测度出中国2003—2015年30个省级区域的城镇化包容性发展指数,经莫兰指数检验发现其具有显著的空间正相关性。进而采用空间计量模型,基于户籍制度改革背景,从生产性公共投资、社会性公共投资与环保性公共投资三个方面研究公共投资对城镇化包容性发展的影响。研究结果表明,生产性公共投资与社会性公共投资对城镇化包容性发展均存在显著的正向支持作用,且户籍制度改革变量与二者产生了正向的交互作用,说明随着对人口流动限制的放松,生产性公共投资与社会性公共投资对城镇化包容性发展的支持作用有所增强,但环保性公共投资未能表现出显著的支持作用。在未来城镇化进程中,应当优化调整中国公共投资的行业结构与区域结构,从而更好地提升城镇化包容性发展水平。     

对我国生态环境保护的初步探讨

中国是世界上最大的发展中国家,由于现代工农业生产而造成了严重的环境污染,尤其是大量使用农用化学品所导致的生态失调与环境破坏,已严重威胁到人类生存环境及生活健康。今后社会发展必须大力提倡与推广无公害、无污染的清洁生产,全面实现生产的"零污染"与废物的"零排放"、保护环境与追求生态和谐的发展目标。