Toward a supply chain finance (SCF) ecosystem – Proposing a framework and agenda for future research

While supply chain finance (SCF) is receiving growing attention in research, it remains limited in reach and fragmented in its implementation. At the same time, technological advances are changing the shape of the overall business ecosystem in which SCF is embedded. Therefore, the aim of this research is to conduct a systematic review of the SCF literature and develop a framework of analysis to support further exploration of the SCF ecosystem. This research expands on other recent systematic reviews of SCF literature and introduces the business ecosystem concept to the SCF domain. Based on the presented SCF framework, an agenda for future SCF ecosystem research is proposed.     

CORRUPTION'S DIRECT EFFECTS ON PER‐CAPITA INCOME GROWTH: A META‐ANALYSIS

Corruption is a symptom of weak institutional quality and could have potentially adverse effects on economic growth. However, heterogeneity in reported findings makes it difficult to synthesize the evidence base with a view to test competing hypotheses and/or support evidence‐based policy and practice. To address this issue, we have extracted 327 estimates of corruption's direct effect on per‐capita GDP growth from 29 primary studies, following a peer‐reviewed and pre‐published systematic review protocol. Precision‐effect and funnel asymmetry tests indicate that corruption has a negative effect on per‐capita GDP growth after controlling for publication selection bias and within‐study dependence. However, multivariate meta‐regression analysis results indicate that the overall effect is not robust to inclusion of moderating variables through a general‐to‐specific procedure for model specification. We report that the marginal effect of corruption on per‐capita GDP growth is more adverse when the primary study estimates relate to long‐run growth, are based on low‐income‐country data only, and extracted from journal papers. The effect is less adverse in studies that use the International Country Risk Guide corruption perceptions index and in those reporting estimates from two‐stage least‐squares estimations.     

收入差距、社会资本与居民贫困

研究目标：分析收入差距与社会资本及其交互作用对居民贫困的影响,并探讨两者的影响机制。研究方法：构建Logit等计量模型,并采用三阶段最小二乘法（3SLS）与工具变量法（IV Probit）进行稳健性检验。研究发现：在社区层面上,收入差距导致了教育与财政资源在区县间的配置不均等,阻碍了医疗保险制度的发展以及产业结构的提升,进而提高了居民的贫困发生率;在个体层面上,收入差距降低了居民对教育资源的可及性,恶化了居民的健康水平,从而导致居民进入贫困状态。社会资本能够降低居民发生贫困的概率,同时也能够缓解收入差距对居民贫困的不利影响;提升就业能力与收入水平、增加教育与医疗投资、改善社会经济地位、强化融资能力等是社会资本缓解贫困的主要渠道与机制。研究创新：采用具有代表性的中国家庭追踪调查数据,研究收入差距与社会资本对居民贫困的作用机制,指出社会资本是缓冲收入差距对居民贫困不利影响的重要保障。研究价值：为相关理论研究提供更多的经验证据和路径解释;在实践中,对减贫、防贫具有指导意义。     

金融危机对中国城市经济的影响及其应对

文章全面分析了金融危机对我国城市经济的影响,指出中国城市经济发展已经进入到一个重要的转型时期.面对金融危机的挑战,必须把短期启动和可持续发展统一起来,从需求和供给两方面入手,着力解决制约城市经济发展的一些深层次问题.加快推动城市经济转型升级.     

跨境贸易人民币结算对我国进口企业财务影响的实证研究

跨境贸易人民币结算政策的出台给我国经济带来的影响是巨大的,而企业作为经济组织,其财务方面是否受到影响以及受到何种程度的影响是备受关注的问题。本文通过选取28个样本企业并对其财务状况、经营成果和现金流量三个方面的20个财务指标利用SPSS统计软件采用因子分析和聚类分析相结合的方法进行实证研究,分析得出适时推出的跨境贸易人民币结算对我国进口企业财务产生了积极深远的影响。     

中国城乡贫困动态演化的实证研究:1990～2005年

本文基于中国营养与健康调查1990～2005年的家庭微观调查数据,采用贫困指标束和转移矩阵的方法,分别考察了中国贫困的整体变动趋势及其动态演化特征。研究显示:中国城乡贫困整体呈现不断上升的趋势,但其各期贫困水平及上升幅度存在差异。城乡总体脱贫返贫概率变动趋势较为一致,但其水平存在差异,且城乡内部各收入组脱贫返贫概率的水平和变动趋势也不尽相同。城乡返贫概率都呈现明显的状态依赖特征,但城市脱贫概率的状态依赖不断加强,而农村脱贫概率的状态依赖有所减弱。大部分脱贫家庭收入变动到中位数收入的75%以上,同时大部分返贫家庭收入变动到贫困群体的较高收入组中。     

移动购物评价对消费者购买意愿影响的实验研究

本文基于认知需求理论和ELM理论,通过在线情境模拟实验,研究移动购物评价下,认知需求、在线评价质量和在线评价数目三个变量对消费者购买意愿的影响。结果表明：（1）当评价数目不多时,评价质量影响消费者购买意愿,评价数目不影响消费者购买意愿;（2）当评价数目不多时,评价质量与认知需求的交互效应不明显;（3）当评价数目很多时,评价质量和评价数目都会影响消费者的购买意愿;（4）当评价数目很多时,低认知需求消费者受在线消费者评价数目的影响更大,高认知需求消费者受在线消费者评价质量的影响更大。根据上述研究结果,从网络卖家的角度对移动购物评价的管理提出了相关建议。     

金融发展影响城乡收入差距的三大效应分析及其检验

金融发展影响城乡收入差距主要通过三条途径，即金融发展的门槛效应、金融发展的降低贫困效应、金融发展的非均衡效应。本文利用中国和省级1978-2004年的相关数据进行实证检验，结果显示实证与理论假说相符。最后，提出了相关政策建议。     

EVIDENCE ON THE IMPACT OF TARIFF REDUCTIONS ON EMPLOYMENT IN DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW

This paper analyses the evidence on the impact of tariff reductions on employment in developing countries. We carry out a systematic review of the existing empirical literature, and include both, ex post econometric evidence and ex ante Computable General Equilibrium (CGE) simulation studies. The synthesis of results suggests that the effects of tariff reductions on employment are country and trade policy specific. When looking across higher quality econometric studies that control for the endogeneity of tariffs, only a couple of studies have statistically significant results, and these suggest that employment is likely to decrease slightly in the short run following trade liberalization. This is consistent with the notion that there are winners and losers from trade policy reform. These results are in contrast with the CGE findings, which by design incorporate projections of the medium‐run economy‐wide knock‐on effects suggested by economic theory. The synthesis of CGE studies suggests non‐negative effects of trade liberalization on aggregate employment and moderate inter‐sectoral labour reallocation effects.