AN EVALUATION OF PROCESS‐ORIENTED SUPPLY CHAIN MANAGEMENT FRAMEWORKS

Supply chain management (SCM) is implemented by integrating corporate functions using business processes within and across companies. Several process‐oriented frameworks for SCM have been proposed but only two of these provide sufficient detail to enable implementation. We evaluate the Supply‐Chain Operations Reference (SCOR) framework and The Global Supply Chain Forum (GSCF) framework using four criteria and identify their relative strengths and weaknesses.     

Demand‐side housing policy in Costa Rica: a response to the housing deficit

The purpose of this study was to establish what the housing needs of Costa Rica are and to assess what policies have been implemented to respond to their housing deficit. In order to answer these questions, a combined methodology consisting of primary and secondary data was used. Using open‐ended questions and a topic schedule, face‐to‐face interviews with Costa Rican housing authorities were conducted at the interviewee's work place in Costa Rica in May 2003. The most recent secondary data available in the country was used to compute the housing deficit and to study the effects of demographics on current housing needs. Sources of the secondary data were the Costa Rica Ministry of Housing and Human Settlements, and the National Institute of Statistics and Census. The Costa Rican government has made great progress in reforming the housing finance system in order to meet the housing demand of its citizens. In 2002, Costa Rica had a 75.6% home ownership rate. Yet, even in light of the housing system's current success, many social, economic and political barriers threaten to undermine its accomplishments and the peoples’ ability to obtain safe and affordable housing. The paper considers the strengths and weaknesses of the current housing finance system as well as the government strategies for addressing difficulties.     

Pandemic risk disclosure in integrated reports: after COVID-19 is hindsight 2020?

We examine whether, and to what extent companies disclosed pandemic risk and likely impact as part of their key risks or material matters immediately prior to 2020. The integrated/annual reports of 489 companies from six global regions were examined, finding that despite clear warnings from multiple fronts that highlighted the inevitability and imminence of a global pandemic, only 15.5 percent of companies disclosed anything related to pandemic risk. Of these, 71.1 percent were boilerplate in nature, providing minimal useful information to stakeholders. This study contributes to our understanding of integrated reporting, specifically regarding the adequacy of the disclosure of material risks.     

Does economic policy uncertainty drive the dynamic spillover among traditional currencies and cryptocurrencies? The role of the COVID-19 pandemic

The paper examines the dynamic spillover among traditional currencies and cryptocurrencies before and during the COVID-19 pandemic and investigates whether economic policy uncertainty (EPU) impacts this spillover. Based on the TVP-VAR approach, we find evidence of spillover effects among currencies, which increased widely during the pandemic. In addition, results suggest that almost all cryptocurrencies remain as “safe-haven” tools against market uncertainty during the COVID-19 period. Moreover, comparative analysis shows that the total connectedness for cryptocurrencies is lower than for traditional currencies during the crisis. Further analysis using quantile regression suggests that EPU exerts an impact on the total and the net spillovers with different degrees across currencies and this impact is affected by the health crisis. Our findings have important policy implications for policymakers, investors, and international traders.     

后疫情时代我国供应链管理发展趋势分析

指出新冠肺炎疫情给世界带来了深刻而广泛的影响,全球供应链的发展也遇到新的问题。在此背景下,利用SWOT分析法,对我国供应链管理的优势、劣势、面临的机会和威胁等进行了分析,同时对这些要素进行交叉分析,得出我国供应链管理发展的SWOT策略矩阵,为未来我国供应链的发展提供参考。     

Network based evidence of the financial impact of Covid-19 pandemic

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analyzing the top 50 S&P companies by means of market and textual data. Our work proposes a network analysis model that combines such two types of information to highlight the connections among companies with the purpose of investigating the relationships before and during the pandemic crisis. In doing so, we leverage a large amount of textual data through the employment of a sentiment score which is coupled with standard market data. Our results show that the COVID-19 pandemic has largely affected the US productive system, however differently sector by sector and with more impact during the second wave compared to the first.     

Simulation driven inferences for multiply imputed longitudinal datasets*

In this article, we demonstrate by simulations that rich imputation models for incomplete longitudinal datasets produce more calibrated estimates in terms of reduced bias and higher coverage rates without duly deflating the efficiency. We argue that the use of supplementary variables that are thought to be potential causes or correlates of missingness or outcomes in the imputation process may lead to better inferential results in comparison to simpler imputation models. The liberal use of these variables is recommended as opposed to the conservative strategy.     

Introduction to “Economic and Financial Governance in the European Union after a decade of Economic and Political Crises.”

ABSTRACT

This paper offers the Introduction to the Special Issue “Economic and Financial Governance in the European Union after a decade of Economic and Political Crises.” We introduce the five papers. We distill three important lessons they offer for EU integration.     

Linking Public Investment to Private Investment. The Case of Spanish Regions

Public investment constitutes one of the main instruments of regional policies. The existence of a direct link between infrastructure and regional income per capita is usually accepted. Literature also describes a positive effect of public investment on private capital accumulation. This paper seeks to provide new empirical evidence on this latter relationship for the case of Spanish regions over the period 1965–1997 using panel data methodology. The results show a positive effect of productive and social public investment (especially in education) on private investment. The spillover effects generated by the productive infrastructures located in other regions do not seem to encourage the private investment in neighbouring regions. Public consumption and interest rate exert a negative influence on private capital accumulation. These results are robust to changes in the econometric specification.     

Gender differences in self‐employment

This paper examines the factors that influence transitions into self‐employment, paying particular attention to gender differences. We find that: (i) men are more responsive to the wage differential between wage/salaried employment and self‐employment; (ii) liquidity constraints are more important for men; and (iii) the link between father's self‐employment status and the probability of self‐employment is stronger for men. Taken together, these results suggest that, for women, self‐employment is a closer substitute for part‐time work and labour‐market inactivity than it is for men. We attribute such differences to the different labour market opportunities and occupational strategies of women.