Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.     

网络媒体关注、审计质量与风险抑制——基于深圳主板A股上市公司的经验数据

以我国深圳证券交易所主板2011—2016年A股上市公司为样本，通过计算可操纵性应计利润衡量审计质量，使用上市公司违规数据衡量经营和交易违规风险与虚假披露风险，考察网络媒体关注的风险抑制作用。研究发现：网络媒体关注度与审计质量具有风险抑制效应，且网络媒体关注对风险的抑制作用更显著；进一步地，网络媒体关注可通过提高审计质量来抑制企业违规风险，审计质量在网络媒体关注与风险抑制之间发挥部分中介作用。     

The role of relationship quality in raising organizational change acceptance: The case of the Greek hotel industry

This study examines whether the quality of an employee's relationships, within the context of the hotel industry, has an influence on their behavioral intention towards organizational change. The researchers suggest that the quality of relationships is an important element of an individual's social capital and can be evaluated using five key dimensions: the extent to which relationships are tangible, responsive and reliable, as well as the extent to which they offer empathy and assurance. Furthermore, this research examines whether organizational commitment and job satisfaction have an effect on the association between relationship quality and an individual's behavioral intention towards organizational change. The data collected from a sample of 100 hotel employees in Thessaloniki, Greece, show that relationship quality has a positive association with an individual's behavioral intention towards change. Additional results highlight the roles of job satisfaction and organizational commitment as mediating variables. Managerial implications relevant to the findings and pathways for further research are also discussed.     

The digital transformation of business models in the creative industries: A holistic framework and emerging trends

This paper examines how digital technologies facilitate business model innovations in the creative industries. Through a systematic literature review, a holistic business model framework is developed, which is then used to analyse the empirical evidence from the creative industries. The research found that digital technologies have facilitated pervasive changes in business models, and some significant trends have emerged. However, the reconfigured business models are often not ‘new’ in the unprecedented sense. Business model innovations are primarily reflected in using digital technologies to enable the deployment of a wider range of business models than previously available to a firm. A significant emerging trend is the increasing adoption of multiple business models as a portfolio within one firm. This is happening in firms of all sizes, when one firm uses multiple business models to serve different markets segments, sell different products, or engage with multi-sided markets, or to use different business models over time. The holistic business model framework is refined and extended through a recursive learning process, which can serve both as a cognitive instrument for understanding business models and a planning tool for business model innovations. The paper contributes to our understanding of the theory of business models and how digital technologies facilitate business model innovations in the creative industries. Three new themes for future research are highlighted.     

Incorporating textual information in customer churn prediction models based on a convolutional neural network

This study investigates the value added by incorporating textual data into customer churn prediction (CCP) models. It extends the previous literature by benchmarking convolutional neural networks (CNNs) against current best practices for analyzing textual data in CCP, and, using real life data from a European financial services provider, validates a framework that explains how textual data can be incorporated in a predictive model. First, the results confirm previous research showing that the inclusion of textual data in a CCP model improves its predictive performance. Second, CNNs outperform current best practices for text mining in CCP. Third, textual data are an important source of data for CCP, but unstructured textual data alone cannot create churn prediction models that are competitive with models that use traditional structured data. A calculation of the additional profit obtained from a customer retention campaign through the inclusion of textual information can be used by practitioners directly to help them make more informed decisions on whether to invest in text mining.     

Pains and gains of environmental management system certification for the sustainable development of manufacturing companies: Heterogeneous effects of industry peer learning

Environmental sustainability is a growing global concern. Environmental management systems (EMS) could be an effective strategic tool to help firms deal with their sustainable development. However, whether EMS certification pays off financially and how it takes effect can be debated. Thus far, these questions remain largely under‐researched. In particular, the effects of EMS certification on financial performance are inconclusive, and the reasons explaining the effects are underdeveloped. This study aims to enrich the current research by exploring the mediating and moderating roles from the perspective of cost‐efficiency trade‐offs to reveal how EMS certification affects financial performance. Applying a PROCESS procedure analysis and causal mediation analysis to a sample of 1,751 Chinese listed manufacturing firms from 2008 to 2016, this study shows that the effect of EMS certification on firms' financial performance is insignificant because their operating costs burden increases while their marketing efficiency and managerial efficiency improve. For the first time, this study demonstrates the moderating role of industry peer learning, as the mediating effects decrease with the growth of industry peer learning.     

基于BP人工神经网络中国光伏产业贸易摩擦预警研究

建立有效的贸易摩擦预警系统有利于中国新兴产业的健康发展,有利于中国实施制造强国战略。将警兆信号法与人工神经网络相结合,从宏观经济形势、产业供给能力、双边贸易状况、市场需求水平等四个维度切入,构建了中国光伏产品出口贸易摩擦预警系统模型。预警分析表明,模型的预警效果与现实拟合较好,具有可行性。从模型的预警结果来看,2019年~2020年中国输美光伏产品贸易摩擦警情均低于轻警级别,仍面临一定的贸易摩擦风险。     

中美贸易关系新形势下中国先进制造业升级路径研究

先进制造业是一国工业实力和竞争力的直接体现。目前,在中国先进制造业中,装备制造业竞争力明显提升、高技术制造业发展迅速、先进制造业出现集群式发展,但仍然存在创新能力较低、核心技术和零部件研发能力不强、先进制造业企业竞争力不强、缺乏有利的先进制造业发展环境等问题。应采取给予先进制造业发展更大的支持力度、坚持技术引进与自主创新融合、强化先进制造业的区域合作、引导企业提高自主创新能力等措施,推动中国先进制造业持续健康发展。     

“一带一路”沿线省域生产性服务业与制造业联动融合关系辨析

选择"一带一路"沿线18个省域生产性服务业与技术或资本密集型装备制造业动态互动关系为研究对象,运用向量自回归(VAR)模型进行4个细分服务业和装备制造业脉冲响应比较研究,探究其双向互促性、行业异质性及长短期差异性。结果表明:二者虽然有长期均衡关系,但是互促作用具有非对称性。装备制造业对生产性服务业发展的总体拉动力强劲。但无论辅助联动式或价值链嵌入式生产性服务,都只是短期助推装备制造业发展,仍难以构成高端服务能力和发挥显著的规模经济效应,其长期匹配及推动作用较小。长期以来,装备制造业对知识密集型服务业需求程度不高,导致装备制造业对其拉动作用不明显,二者互动关联性较弱。不同互动机理及动态匹配方式下细分服务业与装备制造业互动效应差异性显著。装备制造业来自于自身内部的信息变动影响显著。应加强装备制造业创新投资引资、提升装备制造业产业集群创新竞争力、促使生产性服务业高质量发展、提高高层次人才培养引进效率,以促进沿线省域两大产业高层级耦合互动发展。     

我国物流业2019年发展回顾与2020年展望

2019年是中华人民共和国成立70周年,也是物流业稳中有进、变中求新的一年。面对严峻形势,我国物流业顶住下行压力,实现平稳运行,取得多方面进展。具体而言,一是社会物流需求增速持续放缓,总体运行缓中趋稳;二是物流需求结构持续优化,物流供给结构稳步升级,供需结构加速调整;三是科技应用引领数智化转型,科技赋能物流数智化、平台化;四是新兴的供应链服务企业向标准化发展迈出了重要一步,供应链创新发展进入新阶段,现代供应链成为新亮点;五是物流基础设施网络加快升级,物流枢纽网络建设进入实质推进阶段,助力枢纽经济发展;六是物流业"走出去"空间加大,国际物流打开对外开放新局面,我国对外投资合作与对外援助执行保持平稳有序健康发展;七是绿色物流配合污染防治攻坚战,绿色可持续物流取得新进展;八是物流政策落地,物流企业获得感增强,从业人员稳定性增强,物流营商环境持续改善。2020年,我国经济稳中向好的基本趋势不会改变,物流业平稳增长的总体方向不会改变,物流业主要经济指标将继续保持平稳增长,但物流业下行压力依然较大,发展不平衡、不充分矛盾依然比较突出,与人民群众日益增长的美好生活需要和现代化经济体系建设的要求相比依然存在差距,高质量发展任重道远。在新的一年里,为更好地推动我国物流业发展,一要平衡物流稳增长与高质量发展关系,决胜全面建成小康社会;二要坚持目标导向,探索新时代物流业发展的新使命新要求;三要突出新发展理念,推动传统数量型降成本向效率型降成本转变;四要深化产业联动融合,从低水平粗放式发展向精细化、高品质发展转变;五要坚持科技引领和技术驱动,激发物流业高质量发展新动能;六要推进国家物流枢纽联盟工程和全国百家骨干物流园区互联互通工程,建设物流基础设施网络;七要配合"一带一路"倡议,推动国际物流合作与交流;八要进一步处理好政府与市场、国家与地方、市场与企业的关系,营造政府、企业与协会合力推动物流业高质量发展的产业生态圈。