“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。     

基础设施类型、产业特征与中国企业出口行为

在异质性企业理论框架下,引入教育供给因素,将其视为社会型基础设施与交通基础设施进行比较研究;通过合并基础设施数据与工业企业数据分析两类基础设施对企业出口的异质性影响。实证研究显示:不同类型基础设施对企业出口产生不同影响,其中地区教育供给对企业出口促进作用显著,交通基础设施对企业出口作用并不稳健;不同基础设施对沿海和内陆地区企业出口有差异化影响;在产业特征框架下,基础设施供给对密集使用某类基础设施的企业出口促进作用明显。地方政府应重视社会型基础设施的贸易促进作用,调整地区基础设施投资结构。     

韩国与中国台湾地区自由贸易港区发展比较研究及经验借鉴

目前,中国亟需借鉴国际经验探索建设中国特色自由贸易港。韩国政府对自由贸易港区实行税收减免、金融支持、生活配套等多方面优惠政策。中国台湾地区的自由贸易港区除了传统自由贸易港的转运功能之外,还包括深度加工制造功能,并通过功能布局、政策优化与修整提升自由贸易港区的竞争力。通过比较发现,韩国和中国台湾自由贸易港区均具有立法保障、功能多元和高效运营等3个相似特征,同时它们在管理机构、功能形态、税收减免和服务供给方面存在差异。中国特色自由贸易港应先通过立法对其管理与运行进行规范,结合区位优势选择合适的功能定位,通过税收减免优惠及增加良好生活配套供给来吸引高质量外资。     

新疆肉羊产业养殖模式比较分析

［目的］通过分析新疆肉羊产业3种养殖模式的资源要素需求特点，探讨不同养殖模式的成本差异，实现畜牧业有限资源约束下的肉羊养殖模式选择与布局优化。［方法］以2005—2015年新疆肉羊养殖数据与分布状况为基础，梳理放牧、半舍饲、舍饲三大主要养殖模式在资源条件、投资与设施、繁育技术、育肥技术、饲养管理与疫病防控等方面的特点，对比分析3种养殖模式的成本差异。［结果］（1）放牧模式对天然草场资源和疫病防控的要求最高； 舍饲模式对饲料、繁殖技术、育肥技术、管理技术等要求较高； 半舍饲的各种要求介于放牧与舍饲之间。（2）3种养殖模式中，舍饲模式成本最低，放牧模式产品品质最高。［结论］新疆肉羊产业发展资源丰富多样，各地区应因地制宜选择肉羊养殖模式，注重肉羊生产的科学性，加强政策指导的有效性和针对性，优化肉羊产业养殖模式布局，提升新疆肉羊产业发展水平，带动农牧民增产增效增收。     

集中连片特困地区扶贫产业发展的规模特征及其经济效率评价——以武陵山片区恩施自治州为例

[目的]在扶贫开发战略中成长起来的特色产业已经成为贫困地区经济发展和农民脱贫致富的支柱产业,特色产业的规模和经济效率直接决定着贫困地区脱贫致富能力。[方法]文章以茶叶、蔬菜代表武陵山片区湖北省恩施自治州扶贫产业,利用集中度指数、扩张弹性系数、单位面积的产值能力和产量能力以及单位产量的产值能力等指标进行扶贫产业发展的规模特征及其经济效率评价。[结果]“十一五”期间以来武陵山片区扶贫产业发展的产业地位逐渐提高、规模扩张优势显著、规模收益递增、投入规模扩张率高于产出规模扩张率、资源配置效率不断提高,比较经济效率差距持续扩大。[结论]扶贫产业亟待根据产业发展的生态化、集聚化和融合化等趋势,在规模扩张中强化特色产品的品质建设和效率优势品种生产专业化程度、提高生产技术水平以及完善产业化组织及其能力建设,提高扶贫产业的经济效率和致富能力。     

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.     

中国住宿和餐饮业在产业链上位置测度及其动态变迁

文章运用产业上游度测度模型，测度了我国住宿和餐饮业在产业链上位置，考察了其在产业链上位置的动态变迁。总体来讲，住宿和餐饮业在全球产业链上和国内产业链上的位置都向产业链上游移动。从封闭经济到开放经济，住宿和餐饮业的产业上游度存在着较大波动，2002—2010年全球产业上游度都大于其国内产业上游度；2012—2017年则相反，住宿和餐饮业国内产业上游度波动幅度要大于其全球产业上游度波动幅度。住宿和餐饮业净出口变化方向与其国外产业上游度变化方向基本相同，净出口增加对其国外产业上游度上升有促进作用。住宿和餐饮业全球产业上游度变化趋势与其国内产业上游度变化趋势基本相似。总体来讲，现阶段住宿和餐饮业国内产业上游度增长速度要大于其全球产业上游度增长速度。     

The impact of reverse logistics process coordination on third party relationship quality: A moderated mediation model for multichannel retailers in the fashion industry

Multichannel retailing is a widely adopted strategy in the fashion industry. Companies in this industry find it a source of competitive advantage to invest in reverse logistics infrastructure. However, limited empirical studies investigate the enablers of the relationship quality between the retailers and their reverse logistics service providers. This study quantifies the impact of reverse logistics process coordination between retailers and logistics service providers on relationship quality. Moreover, it tests the mediating role of reverse logistics service quality and the moderating role of conflict frequency in this relationship. Data were collected through a survey using a purposive sample of 241 retail store managers from the fashion retail industry of Pakistan. For this purpose, a self-administered questionnaire was developed using a five-point Likert Scale to gauge the responses. Conditional process analysis was used to evaluate the moderated mediation model. The findings showed a significant positive impact of reverse logistics process coordination on the relationship quality with a logistics service provider, a significant positive mediation effect of reverse logistics service quality, and a significant moderation effect of conflict frequency on the indirect relationship. However, conflict frequency, contrary to the hypothesis in the study, strengthened the indirect relationship. Furthermore, the moderation effect of conflict frequency on the direct relationship was insignificant. This study will help managers better understand the best practices leading to effective management of reverse logistics processes, particularly product returns.