The substitutes condition and the lattice structure of the set of stable allocations

In the many-to-one matching model with contracts, I show that there is no restriction on preferences weaker than substitutable preferences which guarantees that the set of stable allocations is a lattice. Thus, when contracts are not substitutes, removing agents from the economy may decrease the payoffs to existing agents on both sides of the market.     

区域中心城市创新生态圈要素架构、生态特征与运行机制

区域中心城市创新生态圈以生物学为隐喻，注重发挥创新主体的能动作用，能够放大区域中心城市发展优势。在回顾创新生态圈理论渊源的基础上，界定区域中心城市创新生态圈内涵，明确创新生态圈要素构成；以企业聚集发展为逻辑起点，探讨区域中心城市创新生态圈生态特征；基于生态学、创新理论等跨学科知识，构建区域中心城市创新生态圈演进模型，探究其运行机制。研究认为，区域中心城市创新生态圈具有开放式协同、动态自调节、多样性共生、自组织演化等生态特征，其运行机制由协同共生机制、风险识别与防控机制、利益分配机制和环境匹配机制共同组成。     

The Geography of Innovation in China and India

The BRICS countries in general, and China and India in particular, are now widely regarded as the areas of the world likely to challenge the economic leadership of the United States (US) and the European Union (EU). A large part of this challenge will come from rapid technological catch‐up by China and India. Yet, despite a recent rise in interest, there is limited knowledge about how and where innovation takes place in these two leading emerging countries and to what extent the Chinese and Indian territorial systems of innovation differ from those in the EU or the US. In this article we explore the geography of innovation in China and India, concentrating on understanding key territorial‐level innovation trends by country, region and technology field, using the US and the EU as benchmarks. We find significant contrasts between the geography of innovation in China and India and that of the US and the EU. First, the degree of concentration of innovative activities in both countries is extremely high. Levels of agglomeration of innovation in the coastal provinces of China, as well as in Delhi and the South of India, significantly exceed the levels of agglomeration found in the USA and the EU. Secondly, China has witnessed a more rapid increase in the degree of concentration of innovation than India. We posit that the differences in the geography of innovation between, on the one hand, China and India and, on the other hand, between these countries and the developed world are rooted in different institutional settings, different systems of innovation and different national innovation strategies.     

Are EU trade preferences really effective? An impact evaluation assessment of the Southern Mediterranean Countries’ case

This work assesses the causal impact of the EU trade preferences granted to the Southern Mediterranean Countries (SMCs) in agriculture and fishery products over the period 2004–2014. It overcomes some of the weaknesses of previous assessments and presents several methodological improvements. Firstly, it relies on a continuous treatment – i.e. preferential margins – to capture the ‘average treatment effect’ of trade preferences, rather than on a binary treatment based on dummy variables. Secondly, it uses highly disaggregated data at sectoral level in order to evaluate properly the preferential treatment. Thirdly, it applies a non-parametric matching technique for continuous treatment – specifically, a generalized propensity score matching. The results show, on the one hand, that the impact of the EU preferences is positive and significant on SMCs trade and is better evaluated using impact evaluation techniques. On the other hand, they demonstrate that the relationship between preferences and trade flows is asymmetric and warn against the risk of providing too much of a good thing. These results raise important issues for policy-making. First, they demonstrate that raising the level of preferences is not the solution to foster the SMCs trade towards EU. Second, that the policy-makers should put more emphasis on complementary factors other than trade barriers.     

Country Differences in Material Deprivation in Europe

This paper assesses to what extent differences in the characteristics of individuals (micro‐level perspective) and country‐specific factors (macro‐level perspective) can explain country differences with respect to material deprivation levels. Thus, our work aims to simultaneously consider the macro dimension and the predominantly individually‐oriented study field of material deprivation using multilevel techniques. We make use of the European Union Statistics on Income and Living Conditions. Our results show that country‐specific factors seem to be much more relevant than individual effects in explaining country differences in material deprivation. We estimate that the introduction of country‐specific factors reduces the proportion of total variance due to between‐country differences in deprivation by 72.7 percent, while individual‐level variables reduce this proportion by only 9.4 percent. We also show, through interaction variables, that the effect of sociodemographic characteristics can be shaped by institutional and structural factors, especially by the level of GDP.     

Factors of trade in Europe

We analyze how a set of determinants affect trade among European countries over the period 1992–2008. The factors encompass variables from the areas of geography, culture, institutions, infrastructure, and trade direction. Trade is analyzed for four types of goods: primary goods, parts and components, capital goods, and consumer goods. For each type of good we also distinguish its definition in terms of flows, intensive margin, and extensive margin. Methodologically, we first derive country-pair fixed effects over all possible pairs of export–import partners, and in the second stage we relate fixed effects with a set of influential factors. We show (i) the intuitive and varying effects of geographical, cultural, and institutional factors; (ii) the beneficial effects of soft and hard infrastructure; and (iii) the key importance of trade between old and new EU members.     

Impossibilities for strategy-proof committee selection mechanisms with vetoers

When a group of voters selects a committee out of a set of candidates, it is common and often desirable to endow these voters with some veto power. I present impossibility results showing that even limited veto power makes many mechanisms of interest manipulable. This applies in particular (i) to mechanisms the range of which contains a degenerate lottery in which a committee is chosen for sure and (ii) to mechanisms that are constructed from extensive game forms with a finite number of strategies. These impossibilities hold on a large set of domains including the domain of additive preferences, and even when probabilistic mechanisms are allowed and voters can report cardinal preferences.     

Does bank ownership affect lending behavior? Evidence from the Euro area

We analyze the differences in lending policies across banks characterized by different types of ownership, using micro-level data on Euro area banks during the period 1999–2011 to detect possible variations in bank lending supply responses to changes in monetary policy. Our results identify a general difference between stakeholder and shareholder banks: following a monetary policy contraction, stakeholder banks decrease their loan supply to a lesser extent than shareholder banks. A detailed analysis of the effect among stakeholder banks reveals that cooperative banks continued to smooth the impact of tighter monetary policy on their lending during the crisis period (2008–2011), whereas savings banks did not. Stakeholder banks’ propensity to smooth their lending cycles suggests that their presence in the economy has the potential to reduce credit supply volatility.     

G20《消除数据差异提案》及对我国的启示

2008年国际金融危机的爆发,揭示出全球系统重要性金融机构之间存在着巨大的信息差异,欧美等国充分意识到一套全面及时的数据统计标准对于经济金融市场稳定的重要性。有鉴于此,G20于2009年发布了《消除数据差异提案》（Data Gaps Initiative）,在提案中提出了统一整合全球经济金融数据统计方式的20条建议。2013年G20峰会上,各国财长和央行行长一致表示要继续推动《消除数据差异提案》的实施,该提案预计将在2015年底被完全实现。本文对该提案出台的背景、主要内容和最新进展进行了梳理和分析,总结出对我国的影响与借鉴意义：有助于更好地实现我国宏观审慎政策目标;有助于促进我国数据统计标准化的发展;有助于提升我国宏观经济和金融稳定分析的水平。     

Brexit: Tracking and disentangling the sentiment towards leaving the EU

On 23 June, 2016, the UK held a referendum to decide whether to stay in the European Union or leave. The uncertainty surrounding the outcome of this referendum had major consequences for public policy, investment decisions, and currency markets. We discuss some of the subtleties involved in smoothing and disentangling poll data in light of the problem of tracking the dynamics of the intention to Brexit, and propose a multivariate singular spectrum analysis method that produces trendlines on the unit simplex. The trendline yield via multivariate singular spectrum analysis is shown to resemble that of local polynomial smoothing, and singular spectrum analysis presents the nice feature of disentangling the dynamics directly into components that can be interpreted as changes in public opinion or sampling error. The merits and disadvantages of some different approaches for obtaining smooth trendlines on the unit simplex are contrasted, in terms of both local polynomial smoothing and multivariate singular spectrum analysis.