Service Sector Restrictiveness and Economic Performance: An Estimation for the MENA Region

This article aims to assess barriers to service provision in the banking and telecom sectors of four Middle East and North Africa (MENA) countries, and the impact of these barriers on firm performance. Our methodology involves the computation of aggregate and modal trade restrictiveness indices (TRIs) by sector, and utilisation of these TRIs as regressors of firms’ economic performance. Our analysis shows that significant regulatory reforms have taken place in the service sectors over the last decade in the MENA region, but that a broad range of restrictions still remain. The most significant change in these service sectors has been the lifting or softening of constraints on foreign equity participation. These regulatory reforms, however, have had varying degrees of impact on market structure depending on the country, the sector and the mode. Moreover, service restrictions have had an impact on economic performance in the three studied sectors. While a rent‐creating effect seems to dominate restrictions on banking and fixed telecom sectors, a cost‐inefficiency effect seems to dominate the mobile telecom sector. Finally, we find evidence of interactions between modal restrictions for banking services. Our results suggest a complementarity between Modes 3 and 1, as well as a substitution effect between Modes 3 and 4 in the banking sector.     

On the Number and Heterogeneity of Bidders in Livestock Auctions

We show in the context of livestock auctions that a seller's revenue may increase or decrease as the number of buyers increases, whether the additional bidder wins or not an object. Additional bidders who fill part of their demand from an outside source may have an even more adverse effect on prices. We use data from the Quebec daily hog auction to measure the effect of new bidders on auction prices. Variations in the number of bidders come from the entry and exit of Quebec packers and sporadic invitations extended to Ontario packers. We find that entry by Quebec packers had a significant positive impact on hog auction prices but that sporadic participation by Ontario packers did not have a significant impact on hog prices.     

The Future of African Trade with China under Alternative Trade Liberalization Schemes

Abstract: Evidence is gradually being built up in Africa on the full extent and rapidly growing role and interest of China in Africa. The global trade integration under the Doha Round, which is considered as the channel for fostering outward‐oriented development and generates economic and social benefits, is expected to effect more African trade with China. Our results show that with an agreement for the Doha Round, China will achieve its dominance on global trade faster than in the baseline scenario where no agreement is expected to be signed. In the long term, this impressive growth in Chinese exports to Africa is not a real value added, as China is already taking the place of the other major trade players both in African markets as well as in the markets of other regions and countries. In other words, China is expected to achieve in 10 years (2010–2020) what initially was expected to be achieved in 20 years in case of no agreement under the Doha Round, where a simple linear estimation on the evolution of Chinese exports is carried out. Our results also show that even in the case where China will offer more market access for African countries, the situation will not improve much for most of them. The reason is that Africa is still suffering from small productive capacities and a low level of diversification of its economy.     

Do corporations overinvest？ Evidence from Tunisia

The authors study the positive relationship existing between internal net worth and investment. This relationship has been interpreted in the financial literature as evidence showing that the management overinvests the free cash flow available to them in poorly-performing, sub-optimal investment projects. In this paper, the authors empirically tackle this problem in the case of the manufacturing and industrial Tunisian corporations and show that our empirical regularities do not stand for this interpretation. The authors conversely prove that overinvestment does not seem to occur on the basis of the grouping results. Hereby, there do not corroborate the empirical regularities documented in Lamont （1997）.     

CFO gender and financial reporting transparency in banks

We investigate the effect of CFO gender on the timeliness of loan loss provision (LLP) reporting using a large sample of US banks from 2007 to 2016. Our findings show that women CFOs are associated with timelier forward-looking provisioning than men counterparts, suggesting that they follow a more transparent approach to financial reporting policies. Our results hold under different model specifications, including the use of bank and CEO fixed effects. We further address endogeneity concerns by showing that the timeliness of LLP reporting improves significantly for banks experiencing a man-followed-by-woman CFO transition. Overall, our study supports the notion that women CFOs are associated with higher financial reporting transparency and provides further insights into how CFO gender affects risk-aversion and ethics in banks, with wider implications about the importance of women’s representation in the finance-based industry.     

Sensing endogenous seasonality in the case of a coffee supply chain

Rogue seasonality, or endogenously generated cyclicality (in variables), is common in supply chains and known to adversely affect performance. This paper explores a technique for sensing rogue seasonality at a supply chain echelon level. A signature and index based on cluster profiles of variables, which are meant to sense echelon-level generation and intensity of rogue seasonality, respectively, are proposed. Their validity is then established on echelons of a downstream coffee supply chain for five stock keeping units (SKUs) with contrasting rogue seasonality generation behaviour. The appropriateness of spectra as the domain for representing variables, data for which is daily sampled, is highlighted. Time-batching cycles which could corrupt the sensing are observed in variables, and the need to therefore filter them out in advance is also highlighted. The knowledge gained about the echelon location, intensity and time of generation of rogue seasonality could enable timely deployment of specific mitigation actions.