Network Intermediaries in International Trade

Motivated by evidence on the importance of incomplete information and networks in international trade, we investigate the supply of network intermediation. We build a general-equilibrium model in which agents with networks of foreign contacts either can use their networks themselves in support of production or can make their networks available for others to use and thereby can become network intermediaries. We use this model for comparative statics and welfare analysis. One welfare conclusion is that intermediaries may have inadequate incentives to maintain or to expand their networks, suggesting a rationale for the policies followed by some countries to encourage large-scale trading companies.     

Developing relationships in innovation clusters

ABSTRACT

This study assesses the composition of micro-level behaviours embedded within innovation clusters. Drawing on network theory of innovation, we examine the relational complexities of a specific university-business form of clustered exchange to characterise the actor level behaviours that influence the breadth and spread of network involvement. Whilst some current research posits behavioural attributes of clustered networks, there have been few studies that have focused on the extent of influence that individuals have on the development of value creating relationships, the roles individuals play and the various factors that have the potential to impact their effectiveness. This conceptual development study provides insights into the actor-level behavioural features that play a central role in promoting the innovation effectiveness of these regions. The findings of this three year long ethnographic study suggest that in the face of resource constraints individuals act as agents in creating and sourcing external input for the benefit of their projects. This has implications for policy-makers as well, as our findings suggests that policies should be shaped to provide enabling factors for boundary-spanning, thus allowing relationships to be equipped with the ability to manage complex partner contexts to access the benefits of diversity.     

Taming the spread of an epidemic by lockdown policies

We study the problem of a policymaker who aims at taming the spread of an epidemic while minimizing its associated social costs. The main feature of our model lies in the fact that the disease’s transmission rate is a diffusive stochastic process whose trend can be adjusted via costly confinement policies. We provide a complete theoretical analysis, as well as numerical experiments illustrating the structure of the optimal lockdown policy. In all our experiments the latter is characterized by three distinct periods: the epidemic is first let to freely evolve, then vigorously tamed, and finally a less stringent containment should be adopted. Moreover, the optimal containment policy is such that the product “reproduction number $\times$ percentage of susceptible” is kept after a certain date strictly below the critical level of one, although the reproduction number is let to oscillate above one in the last more relaxed phase of lockdown. Finally, an increase in the fluctuations of the transmission rate is shown to give rise to an earlier beginning of the optimal lockdown policy, which is also diluted over a longer period of time.     

Endogenous R&D Networks among Upstream Firms

This paper studies the endogenous formation of R&D networks among upstream firms and the welfare implications thereof. Both under an upstream price setting and an upstream quantity setting, it is shown that the complete R&D network emerges in equilibrium but only if spillovers are sufficiently low. Yet, under a quantity setting, the complete network arises within a larger range of spillovers. In both cases, however, there is a potential conflict between private incentives for R&D collaboration and societal ones. We discuss policy measures that may help to steer firms towards a more socially desirable outcome. Copyright © 2014 John Wiley & Sons, Ltd.     

Social networks,mass media and public opinions

Our opinions and ideas are shaped by what our friends said and what we read or watched on mass media. In this paper, we propose a concise and analyzable model to study the effects of mass media modeled as an applied external field, and social networks on public opinions based on the multi-state voter model, and a tuned parameter can control the relative intensity of the effects of mass media and social networks. We consider a generalized scenario where there exist committed or stubborn agents in the networks whose opinions are not affected by their friends or mass media. We find that the fraction of each opinion will converge to a value which only relates to the fractions and degrees of stubborn agents, and the relative intensity between media and network effects. The final agents with media opinion, except the stubborn agents, also include the increment produced by the internal impact of social networks and that caused by the external impact of media. Interestingly the second increment is composed of two parts, one is from the media effect when there are no interactions between agents and the other is from the influence of media on agent opinions caused by social network structure. That is the interactions among agents within social networks can amplify media influence. Finally we also discuss several extensions to the dynamics model which consider more realistic scenarios.     

STABILISATION POLICY,RATIONAL EXPECTATIONS AND PRICE‐LEVEL VERSUS INFLATION TARGETING: A SURVEY

We survey literature comparing inflation targeting (IT) and price‐level targeting (PT) as macroeconomic stabilisation policies. Our focus is on New Keynesian models and areas that have seen significant developments since Ambler's (2009, Price‐level targeting and stabilisation policy: a survey. Journal of Economic Surveys 23(5): 974–997) survey: optimal monetary policy; the zero lower bound; financial frictions and transition costs of adopting a PT regime. Ambler's conclusion that PT improves social welfare in New Keynesian models is fairly robust, but we note an interesting split in the literature: PT consistently outperforms IT in models where policymakers commit to simple Taylor‐type rules, but results in favour of PT when policymakers minimise loss functions are overturned with small deviations from the baseline model. Since the beneficial effects of PT appear to hang on the joint assumption that agents are rational and the economy New Keynesian, we discuss survey and experimental evidence on rational expectations and the applied macro literature on the empirical performance of New Keynesian models. Overall, the evidence is not clear‐cut, but we note that New Keynesian models can pass formal statistical tests against macro data and that models with rational expectations outperform those with behavioural expectations (i.e. heuristics) in direct statistical tests. We therefore argue that policymakers should continue to pay attention to PT.     

The effect of social distancing on the reach of an epidemic in social networks

How does social distancing affect the reach of an epidemic in social networks? We present Monte Carlo simulation results of a susceptible–infected–removed with social distancing model. The key feature of the model is that individuals are limited in the number of acquaintances that they can interact with, thereby constraining disease transmission to an infectious subnetwork of the original social network. While increased social distancing typically reduces the spread of an infectious disease, the magnitude varies greatly depending on the topology of the network, indicating the need for policies that are network dependent. Our results also reveal the importance of coordinating policies at the ‘global’ level. In particular, the public health benefits from social distancing to a group (e.g. a country) may be completely undone if that group maintains connections with outside groups that are not following suit.

     

The Naming Game in social networks: community formation and consensus engineering

We study the dynamics of the Naming Game (Baronchelli et al. in J Stat Mech Theory Exp P06014, 2006b) in empirical social networks. This stylized agent-based model captures essential features of agreement dynamics in a network of autonomous agents, corresponding to the development of shared classification schemes in a network of artificial agents or opinion spreading and social dynamics in social networks. Our study focuses on the impact that communities in the underlying social graphs have on the outcome of the agreement process. We find that networks with strong community structure hinder the system from reaching global agreement; the evolution of the Naming Game in these networks maintains clusters of coexisting opinions indefinitely. Further, we investigate agent-based network strategies to facilitate convergence to global consensus.     

How important is fiscal policy cooperation in a currency union?

By constructing a dynamic stochastic general equilibrium model, which assumes a currency union consisting of two countries with nontradables, we study the importance of fiscal policy cooperation. As shown in the previous studies, we find that the role of fiscal policy is important in maximizing social welfare. However, we have a contrary result for fiscal policy cooperation. While the previous studies highlight that fiscal policy cooperation has a nontrivial effect in maximizing social welfare, we show that fiscal policy cooperation has no benefits, regardless of the share of nontradables. Self-oriented fiscal policy can replicate social welfare under the cooperative setting.     

Linking learning with governance in networks and clusters: key issues for analysis and policy

In this paper we analyse the relationship between governance and learning in clusters and networks. In particular, we see these two key elements as interdependent, suggesting that, under particular circumstances, such interdependence may drive clusters and networks towards a dynamic development trajectory. A pure ‘governance perspective’ makes the development of any locality dependent on the system of powers which exists within the locality or across the global value chain. In parallel, a pure ‘competence-based approach’ focuses mainly on the capabilities of actors to learn and undertake activities. In contrast, we open the prospects for an interdependent relation that may change the actual competences of actors as well as the governance settings and dynamics in networks and clusters. When supported by public policies, the learning process may have the potential to modify the governance environment. Simultaneously, the learning process is intrinsically influenced by economic power, which may seriously affect the development prospects of clusters and networks. This is why an intertwined consideration of both aspects is necessary to promote specific approaches to learning and to design appropriate policies. In this paper we offer two preliminary case studies to clarify some of these dynamics: the first taken from the computers cluster in Costa Rica and the second from an Italian bio-pharmaceutical firm and its production network. The first case study refers to the software cluster that was created from scratch in Costa Rica thanks to an enlightened government policy in coordination with new local enterprises and an important foreign direct investor; while the second reflects on the ability of an individual company to create a network of relationships with large transnational companies in order to acquire new competences without falling into a subordinate position with respect to its larger partners.     

Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls,labor subsidies,and place-based strategies

This paper develops a spatial general equilibrium model that accommodates both congestion and agglomeration externalities, while firms’ and households’ land-use decisions are endogenous across continuous space. Focusing on the interaction between externalities and land use patterns, we examine the efficiencies of first-best policies and second-best pricing and place-based strategies using numerical simulations. A first-best policy must combine both Pigouvian congestion tolling (PCT) and Pigouvian labor subsidies (PLS) instruments, or design an optimal toll (or subsidy) internalizing agglomeration externalities (or congestion externalities). We also examine second-best pricing policies if only one instrument is adopted. Congestion pricing policies alone (e.g., a partial PCT or a flat-rate toll) can improve social welfare only in heavy-congestion cities, and their welfare gains may be insignificant (e.g., below 10% of the welfare improvement achieved by first-best policies). In contrast, second-best labor subsidy policies alone are a more effective alternative to first-best policies. As to place-based policies, the firm cluster zoning (FCZ) regulation is more efficient than the urban growth boundary (UGB) policy. UGBs only have small effects on the agglomeration economy but could worsen land market distortions via residential rent-escalation effects. These findings suggest that it is important to internalize business land use decisions and relax monocentricity assumptions, in order to appreciate the interplay of both urban externalities, since spatial adaptations to policy interventions can distort system efficiencies.     

Collaborative diversity in a nanotechnology innovation system: Evidence from the EU Framework Programme

Collaborative diversity is, arguably, an intrinsic characteristic of research networks built on the emergence of general-purpose technologies such as nanotechnology. European research policy, epitomised in Framework Programmes, creates arrangements that institutionalise the development of internationally and institutionally diverse research networks. Motivated by concerns that a high degree of collaborative diversity may create managerial challenges for network members in sharing knowledge across national and institutional borders, we study the configurations of collaborative research networks and consider their international and institutional diversity. We also explore the influence of European policy mechanisms on the international and institutional diversity of collaborative research networks. We conclude that nanotechnology research networks are indeed characterised by a significant degree of collaborative diversity, which in turn exposes a need for participating members to develop strategic capabilities to manage research within diverse networks.     

Revealing transactions data to third parties: Implications of privacy regimes for welfare in online markets

We examine the effects of privacy policies regarding transactions (e.g., price/quantity) data on online shopping platforms. Disclosure of transactions data induces consumer signaling behavior that affects merchant pricing decisions and the welfare of platform participants. A profit‐maximizing platform prefers the disclosure policy that maximizes total welfare. Although this policy benefits sophisticated consumers, it harms unsophisticated (myopic) consumers. Consequently, the welfare effects of alternative privacy policies, data breaches, deceptive privacy policies, and opt‐in/opt‐out requirements can differ sharply, depending on the level of consumer sophistication and on other factors such as the prevailing status quo.     

Investments in education and welfare in a two-sector,random matching economy

We consider a random matching model where heterogeneous agents choose optimally to invest time and real resources in education. Generically, there is a steady state equilibrium where some agents, but not all of them, invest. Regular steady state equilibria are constrained inefficient in a strong sense. The Hosios (1990) condition is neither necessary nor sufficient for constrained efficiency. We also provide restrictions on the fundamentals sufficient to guarantee that equilibria are characterized by overeducation (or undereducation), present some results on their comparative statics properties, and discuss the nature of welfare improving policies.     

The optimal choice of internal decision‐making structures in a network industry: A multiproduct monopoly case

Focusing on the role of network compatibility effects between products of a multiproduct monopoly and on the form of consumer expectation for network sizes, we consider the optimal choice of internal decision‐making structures, that is, centralization and decentralization, and its welfare effect in a network industry. We demonstrate that if the degree of network compatibility effects is sufficiently large, the decentralized decision making is socially optimal. However, in the case of consumer ex post expectations, it is optimal for the firm's owners to choose the centralized decision making. We apply the model to the cases of price‐setting games, complementary products, and negative network externalities to examine the optimal choice of internal decision‐making structures.     

Privatization,Financialization and State Restructuring in Eastern Germany: The case of Am südpark

Using a mix of survey data, results from a study on local planning politics and fieldwork, this article discusses the interplay of planning and welfare policies with global financial markets in the ‘making’ of social segregation in Halle‐Neustadt, a borough in the German city of Halle (Saale). Here, different developments come together. First, Halle‐Neustadt has experienced two waves of privatization, leading to a complete change of ownership structures, marked by the rise of financial investors. Second, welfare cuts have put increasing pressure on welfare recipients to live in the cheapest housing available. This has led to the emergence of a ‘Hartz IV business model’ based on low, but state‐subsidized, rents. Third, new planning policies have led to a massive drop in house prices, thus facilitating the use of ‘leverage’ strategies for financial investors. We expand on an already developed debate, providing new insights about relations between planning, state restructuring and financialization in a German context. We demonstrate that a broad array of changes in national regulatory settings, policy change in different sectors and local particularities can all be crucial in enabling financialization. We conclude that research should place greater emphasis on the state in providing explanations and take differences in context more seriously.     

The Long-Run Effect of Economic Development Policy on Resident Welfare in a Perfectly Competitive Urban Economy

This paper argues that evaluations of economic development policy must consider the long-run effect on resident welfare. The paper uses comparative static analysis of a closed, urban economy with an explicit labor market, to investigate the effect of policies that stimulate economic activity. The paper finds that such policies do not necessarily raise resident welfare, because of the competition for land between firms and households. On the other hand, the paper does find that income transfers increase resident welfare. This model assumes, however, that the land, capital, and labor markets are perfectly competitive. Therefore, these results are based on the assumption that an urban economy is efficient.     

政策网络的结构与治理:以我国房地产宏观调控政策为例

房地产的宏观调控是我国政府公共管理能力的核心体现,然而,近年来其调控效果并不显著.作为一种新兴的分析工具--政策网络能较好地掌握与处理多元角色参与公共政策制定的议题.因此,本文从政策网络的视角,通过理论研究和案例分析,探讨房地产政策网络的结构特征及其治理机制.研究发现:我国房地产宏观调控的困境关键在于政策网络的开放度太...     

Private law enforcement with competing groups

This paper introduces groups that are in conflict against each other in law enforcement policy. These groups can have an effect on the process of law enforcement by making upfront investments, such as bribes. We also investigate consequences when a policy maker acts to maximize a bribe instead of social welfare. Thus, this paper presents an inclusive framework for incorporating private law enforcement, corruption and avoidance activities. This article shows that this competition can lead to moderate and more efficient law enforcement activities. This indicates that inefficient law enforcement by authority with harm reduction motivation can be avoided. Additionally, this paper shows that depending on the policy maker’s objection between rent-seeking motivation or social welfare maximizer, deterrence effects vary. This paper provides a clear mechanism that the rent-seeking motivated policy maker tends to set less severe enforcement policies than the social welfare level.