Migration Flows and Intra-Industry Trade Adjustments

In this paper we analyse the link between trade and migration. Focusing on the experience of Spain, we relate a marginal index of intra-industry trade to the stock of foreign workers—classified according to their country of origin and their situation in the Spanish labour market. We focus on the possibility that existing networks of foreign workers and their connections with their countries of origin could stimulate trade with the host country. Our results show a significant impact of the number of immigrants with work permits on intra-industry trade adjustment. However, this impact being positive or negative depends on whether foreign workers are employees or self-employed, the duration of the work permits and the type of job they occupy. JEL no. F10, F14, F15, F22     

Knowledge diversity and coordination: The effect of intrafirm inventor task networks on absorption speed

Research Summary: We combine the absorptive capacity and social network theory approaches to predict how intrafirm “whole” network characteristics affect the firm's speed of absorption of external knowledge to produce inventions. We start from the widely accepted view that distant, externally‐developed knowledge is difficult to absorb into the focal firm's own knowledge production. We suggest that high levels of intrafirm inventor task network diversity and task network density are essential for a diversity of knowledge inputs and coordinated actions regarding knowledge transfer, which in turn, reduces problems related to the absorption of knowledge—especially in the case of knowledge that is distant from the focal firm. The results of an event history study of 113 pharmaceutical firms that engaged in technology in‐licensing from 1986 to 2003 provide general support for our hypotheses. Managerial Summary: Firms keen to keep up with an uncertain and ever‐changing industry environment, can benefit from the speedy introduction of inventions. We examine how firms absorb licensed‐in technologies to nurture the rapid development of own related inventions. We show that a firm's absorption speed depends on the characteristics of the internal collaboration networks among the firm's inventor employees. More specifically, technologically diverse and well‐connected inventor networks improve the firm's ability to absorb external technologies quickly. This applies especially to externally acquired technologies that are unfamiliar to the firm. Depending on the distance of the acquired technology from the focal firm combined with speed‐inducing inventor network characteristics, our estimates suggest that firms can reduce the time needed for absorption by several months.     

A study on the deployment of high-speed broadband networks in NUTS3 regions within the framework of digital agenda for Europe

This paper investigates the high-speed broadband situation in the EU and its prospects. It uses a deployment model to estimate the investment required to meet the Digital Agenda for Europe (DAE) broadband targets set by the European Commission in its Europe 2020 strategy at different stages: as of 2016, after expected operators’ deployment, after public subsidies and leveraged investment, and as expected in 2020. The model uses data at the NUTS3 level, which is the most granular level that has data available on the status of broadband deployment, to arrive at a coherent and comparable framework. From the different perspectives on the investment to meet DAE targets, the paper concludes on the need for an appropriate combination of incumbent and alternative operators investments, public subsidies and leveraged investments, and new investments, both public and private and non-existing as of 2016, examining their feasibility and the impact of different regulatory, technical, and policy strategies.     

The involvement of utilities in the development of broadband infrastructure: A comparison of EU case studies

Energy companies and other utility providers have been often involved in the provision of telecommunications services. Nevertheless, their contribution to broadband development has varied significantly over time. In the late 1990s, both local and national utilities in the European Union (EU) engaged in the provision of broadband networks, but only few of them managed to establish themselves as major broadband providers. More recently, new projects involving national utilities have been announced in several EU countries, opening new scenarios for utilities’ contribution to Next Generation Access (NGA) development. This paper identifies and explores the factors affecting the entry and the success of utilities in the EU broadband market, through the comparison of four case studies from four EU countries (Germany, Italy, Sweden and the UK). The evolution of utility involvement in the EU broadband markets is assessed against the interaction of market, technology and policy factors, focusing on the impact of policy and regulatory measures. As a result, this paper provides fruitful insights into the relevance and effectiveness of public interventions in broadband markets. Across the four case studies, public support and public ownership emerged as the main drivers for the involvement of utilities in EU broadband markets, with regulatory measures and economies of scope exerting a limited and decreasing influence. However, the contribution of utilities has varied significantly across the cases studied, reflecting the different approaches taken at national and local level to support broadband development, in spite of the common regulatory framework.     

商业退回逆向物流网络优化模型研究

针对如何使商业退回成本最小,文中建立了一个数学模型,将商业退回逆向物流系统用一个由顾客、初始回收点和回收中心三类联结点以及它们之间的运输路线组成的网络来表示。为了验证模型的有效性,文中将模型应用于案例分析,最终根据模型求解结果为案例提供了一个具体的解决方案,对案例的求解结果进行了检验。     

基于动态多元代理关系网络的企业资本结构安排

随着代理理论和治理理论的发展,使得企业中产生了一个动态的多元代理关系网络。在解释和预测企业的资本结构方面,新制度经济学的代理理论提供了典范。基于现代企业多样化的动态多元代理关系网络,本文运用代理理论初步分析了现代企业的资本结构安排问题。     

Mixture of MLP-experts for trend forecasting of time series: A case study of the Tehran stock exchange

A new method for forecasting the trend of time series, based on mixture of MLP experts, is presented. In this paper, three neural network combining methods and an Adaptive Network-Based Fuzzy Inference System (ANFIS) are applied to trend forecasting in the Tehran stock exchange. There are two experiments in this study. In experiment I, the time series data are the Kharg petrochemical company’s daily closing prices on the Tehran stock exchange. In this case study, which considers different schemes for forecasting the trend of the time series, the recognition rates are 75.97%, 77.13% and 81.64% for stacked generalization, modified stacked generalization and ANFIS, respectively. Using the mixture of MLP experts (ME) scheme, the recognition rate is strongly increased to 86.35%. A gain and loss analysis is also used, showing the relative forecasting success of the ME method with and without rejection criteria, compared to a simple buy and hold approach. In experiment II, the time series data are the daily closing prices of 37 companies on the Tehran stock exchange. This experiment is conducted to verify the results of experiment I and to show the efficiency of the ME method compared to stacked generalization, modified stacked generalization and ANFIS.     

Knowledge transformation in project networks: A speech act level cross‐boundary analysis

Researchers stress the importance of understanding knowledge transformation in projects. To explore how knowledge is transformed across organizational and specialization boundaries in project networks, we observed 22 knowledge transformation cases in two project networks. We found that new knowledge was created across specialization boundaries and that knowledge was altered across organizational boundaries. When both organizational and specialization boundaries were crossed, new knowledge was created. From these findings, we developed a set of propositions and formulated these into a model of knowledge transformation in project networks. This research contributes to a better understanding of knowledge transformation processes and outcomes in project networks.     

For the greater good: business networks and business social responsibility to communities

Business networks (co-operative arrangements between independent business organizations) may be the signature organizational form of the contemporary global economy. Many policy-makers and local leaders advocate business network membership as an alternative development strategy for regional economic vitality. The extant literature on business networks has focused on their association with business success. However, little is known about their impact on other aspects of community life. The purpose of this paper is to elaborate the role of network membership on one non-economic dimension of the business community interface. We examined the relationship between business network membership and business social responsibility to communities, defined as the provision of leadership and support for community betterment projects. Data were gathered from telephone interviews with a random sample of 460 non-metro small business operators in the USA. Independent t-tests and ordinary least squares regression analyses controlling for theoretically important variables were conducted. Findings show that networked businesses provide more leadership and support for their communities than non-networked businesses. However, networked businesses were no more likely than non-networked businesses to use local suppliers of goods and services.     

Fostering entrepreneurship in distressed urban neighbourhoods

During the last decade entrepreneurship research has focused increasingly on spatial aspects of entrepreneurship. Many systematic studies have been conducted on the national or regional scale, although other geographical scales—cities and their single districts and neighbourhoods—have drawn less attention. In this context, the paper aims, firstly, at identifying spatial success factors of entrepreneurial activities and their promotion at the local scale. Secondly, the paper aims at contributing to the development of a conceptual frame at the interface of entrepreneurship research, urban and economic geography, and regional economics. Empirically, the paper draws on results from explorative case studies in two distressed urban areas.