基于标准数据的创新程度提升路径研究

创新程度在资源配置中的作用日趋明显，但目前创新程度常以专利作为测量值。随着标准在产业发展中引导性增强，作为创新重要产出的标准在创新程度提升中的地位日渐凸显。提出一个以标准数据为依据，通过对标准创新程度值的测量，结合国际国内创新程度四分图模型，研究具体领域创新程度提升路径。以信息技术应用领域标准为分析对象，结合国际标准化组织颁布标准和中国标准，确定信息技术在各应用领域创新现状。结果显示：信息技术在办公系统和银行业务两个领域应用的国际国内创新程度都很低，应在完成产业升级后逐渐淘汰；其在健康关怀领域应用的国际发展前景良好但国内创新程度很低，是重点研究领域。随后，对信息技术在健康关怀领域应用的国际和国内标准具体内容进行对比分析，发现中国与国际发展存在差距，并以国际国内创新程度为依据对位于四分图不同区域的信息技术应用领域创新程度提升提出合理建议。     

Stock replenishment policies for a vendor-managed inventory in a retailing system

Using Vendor Managed Inventory (VMI), the vendor determines the replenishment decisions at the location of buyers (retailers). This strategy is used primarily for handling demand fluctuations stemming from the Bullwhip effect, leading the system to prevent from holding excessive inventory that result in a reduction in the overall cost of the supply chain. The main advantages of VMI for vendors are higher levels of accessibility to inventory information and more direct contact with the customers. Similarly, VMI has some pros for the buyers, such as shared risk with upper levels of supply chain and reduction in their holding costs of inventory. In this paper, a vendor-managed inventory system is developed containing one vendor and two buyers in which the main assumption is that back-ordering and lost sales are permitted. In this system, (r, Q) and (R, T) replenishment policies are compared according to their performances to see which one performs more cost-efficiently when partial back-ordering is allowed. In accordance, mathematical models utilizing (r, Q) and (R, T) replenishment policies are developed, and algorithms for deriving the optimal replenishment decision variables are proposed. Moreover, significant differences between the two replenishment policies are discussed. The main finding obtained by this research is that when shortage is permitted, both (r, Q) and (R, T) replenishment policies under VMI have pros and cons in different contexts.     

基于组态视角的众创空间创客集聚机制研究

以江苏省383家众创空间为样本，应用组态思维和QCA方法整合资源与服务两个层面的6个条件，探讨形成众创空间创客集聚差异的多重并发和复杂机理。结果发现：①众创空间高创客集聚存在服务主导型、场地-创客教育主导型、全要素型3个组态，其中，服务主导型、场地-创客教育主导型能深层次、强有力地影响众创空间高创客集聚；②众创空间非高创客集聚存在单纯地产式、单纯线下投资促进、单纯线上投资促进3种组态，且对众创空间非高创客集聚的影响基本相当；③资金资源不充足、场地资源不充足与人员服务不充足在解释非高创客集聚时具有替代作用。     

Incorporating active adjustment into a financing based model of capital structure

The conventional partial adjustment model, which focuses on leverage evolution, has difficulty identifying deliberate capital structure adjustments as it confounds financing decisions with the mechanical autocorrelation of leverage. We propose and estimate a financing-based partial adjustment model that separates the effects of financing decisions on leverage evolution from mechanical evolution. The speed of adjustment (SOA) is firm-specific and stochastic, and active targeting of capital structure has a multiplier effect that depends on the size of financial deficit. Overall, we find expected SOA from active rebalancing (30%) more than doubles what is expected from mechanical mean reversion alone (13%).     

Non-linear Gaussian sovereign CDS pricing models

Prior literature indicates that quadratic models and the Black–Karasinski model are very promising for CDS pricing. This paper extends these models and the Black [J. Finance 1995, 50, 1371–1376] model for pricing sovereign CDS’s. For all 10 sovereigns in the sample quadratic models best fit CDS spreads in-sample, and a four factor quadratic model can account for the joint effects on CDS spreads of default risk, default loss risk and liquidity risk with no restriction to factors correlation. Liquidity risk appears to affect sovereign CDS spreads. However, quadratic models tend to over-fit some CDS maturities at the expense of other maturities, while the BK model is particularly immune from this tendency. The Black model seems preferable because its out-of-sample performance in the time series dimension is the best.     

Club convergence and drivers of digitalization across Indian states

Disparity in the level of digitalization is a crucial driver of economic inequality in an economy. Although a pocket of its population is still bereft of the benefits of digitalization, India currently has the second highest number of internet subscribers in the world despite the nation's late adoption of digital technology. An accurate assessment of the current state of digitalization in the country is required for devising effective initiatives towards building a Digital India and bridging the nation's internal digital divide. Considering 17 major Indian states and 21 variables for 10 years, we constructed a composite index of digitalization with the help of Principal Component Method (PCM). This paper identifies factors responsible for the digitalization divide across states. In the second part of the analysis, the study confirms, with the help of club convergence test, the absence of overall convergence towards digitalization and the existence of the non-convergent group. This paper also shows that the non-convergent group of states are at the bottom of the ranking table which indicates the need for greater attention to initiatives to bridge the digital divide.     

“强监督”还是“搭便车”：自然人大股东如何影响企业专利质量

通过构建改进的知识宽度法测算企业专利质量，并以2007—2016年中国沪深A股上市公司为样本，分析自然人大股东对企业专利质量的影响以及在不同类型企业中其作用的差异性。结果表明，作为“强力监督者”，自然人大股东能够促进企业专利质量提高。但因为其角色由“强监督”转变为“搭便车”，故这种促进作用在国有企业和具有政治关联的企业中并不存在。进一步研究表明，促进作用是通过加强对经理人和研发人员的监督，减少其控制权下投机性创新策略，提升其工作努力程度实现的。研究结论为促进国有企业与民营企业创新能力提升提供相应的政策启示。     

国家级新区绿色增长能力建设影响因素分析

基于利益相关者理论，通过文献研究与实地调研，梳理了影响国家级新区绿色增长能力建设的主要因素，并应用Grey DEMATEL方法进行影响因素因果关系分析，在此基础上进一步剖析国家级新区绿色增长能力建设内在机理。研究结果表明：法律法规完善性是影响国家级新区绿色增长能力建设的根本性动力因素，同时，也是新区绿色增长能力建设内在机理的重要外在驱动力。此外，当地居民环境意识也是影响国家级新区绿色增长能力建设的重要结果性因素，而企业绿色管理实践、绿色技术进步与创新能力作为重要的关键性因素，对国家级新区绿色增长能力作用显著，是国家级新区绿色增长能力建设的重要内在驱动力。     

Public and private healthcare services: What drives the choice?

This paper has explored patients' propensity to consume private healthcare services. We based our analysis on the typical tangible and intangible (for instance, responsiveness, reliability, assurance and staff empathy) domains of the SERVQUAL and SERVPERF methods. These variables may influence patients' decision-making when they choose between the public and private sectors. We combined factor analysis (to obtain a set of latent factors related to perceived quality) and a partial proportional ordered logit model to estimate the probability that a patient would access private healthcare services. To test the main hypotheses, we used data from a stratified sample in Sardinia, a peripheral region of Italy. Findings revealed that private and public healthcare are substitutes, especially for primary/specialised services. Patients who used public healthcare frequently and had a low income were unlikely to change to private healthcare or to recommend private services. ‘Responsiveness’ and perceptions on ‘tangibles’ were key in determining the probability that a patient would choose and recommend private services. This paper offers a multifaceted framework that can be used in future research to generalise these findings, especially in insular regions that are constrained by mobility.     

I (Could Have) Told You! Early warning indicators and crisis performance of the 12 “old” Euro-countries under the economic crisis 2008–09

The impact of the economic crisis 2008-09 was remarkably different in the 12 “old” member states in the Euro-zone. Five of them were hit especially badly; four of them even had to be bailed out by the rest in one way or another. This paper asks if one could have foretold, based solely on information available prior to 1999, which of the countries then about to enter the Euro-zone would run into economic trouble once a serious economic crisis occurred. The focus is on the (post)predictive power of three kinds of leading indicators: economic indicators, political indicators (indicating quality of governance), and indicators derived from the theory of optimal currency areas (OCA). Since there are more indicators than cases, PLS-regression is used to gauge the (post)predictive strength of the indicators examined. The results show that political indicators have quite some (post)predictive power in this case, whereas indicators derived from OCA-theory do not do too well. Economic indicators perform better than indicators derived from OCA-theory, but generally less well than the political indicators. Thus, the experience from the latest economic crisis in the Euro-zone suggests that more emphasis should be placed on the quality of governance record of a country when deciding if it should be deemed fit to become a member.