Digital highways and firm turnover

We study the impact of ultra-broadband (UBB) internet connections on firm entry and exit dynamics. These connections are based on optical fiber cables that link telecommunication operators to final users, allowing a significantly higher performance compared with traditional copper-line networks. We leverage on a unique comprehensive dataset collecting municipality-level information on broadband diffusion and firm turnover in Italy for the period of 2012–2019. Our empirical strategy exploits the staggered roll-out of UBB, starting from 2015. Our identification strategy is based on an instrumental variable approach that exploits plausibly exogenous variation in the physical and geographical peculiarities of the telecommunication infrastructure. Results suggest that UBB increases firm exit, particularly for small firms. On the contrary, firm entry rises only in digital intensive sectors and in the most developed geographical areas. Our findings have important implications for the ongoing debate around the massive investments in high-speed digital infrastructures, as they argue against the conventional idea that business activities equally benefit from last-generation broadband technologies.     

Knowledge Networks and Careers: Academic Scientists in Industry–University Links*

abstract Careers are central to our understanding of the knowledge creation dynamics of network organizations. Based on the example of R&D project collaboration between firms and universities, this paper examines the emerging forms of career models that support knowledge flows between organizations. It explores how some large firms in the high‐technology sectors have sought to break away from the limitations of internal R&D and firm‐based careers for scientists by engaging in external collaborative projects to gain access to the open knowledge networks of university researchers. It examines how the firms seek to forge close institutional ties with their university partners and develop network career structures in order to engage academic scientists in joint knowledge production. It argues that firms have sought to extend their human resource and knowledge boundaries into the established internal labour markets of the universities with which they collaborate, leading to the formation of a pool of joint human resources with work experiences and career patterns straddling the two sectors. The paper develops the concept of an ‘overlapping internal labour market’ to provide a conceptual bridge between internal labour markets and network organizations.     

Gender policy and female employment: a CGE model for Italy

The gender integration in all areas of policy choices and at all stages of the decision-making process is strongly recommended by the European Union and represents an achievement that the Member States should accomplish when implementing policy measures. In a country like Italy, where the level of female labour participation is among the lowest in Europe, policy maker decisions should encourage and stimulate the demand for female labour without neglecting the global employment rate and income growth. The multisectoral analysis offers the possibility to bridge gender disaggregation within income formation and distribution from the production phase to the demand formation. In this perspective, this paper develops a gender-aware CGE model based on the gender-aware SAM for the Italian economy to evaluate the impact of different fiscal policies aimed to reduce female labour cost and trigger woman hiring in those sectors with high gender disparity.     

配网电力工程的技术问题分析与施工安全措施

在社会迅速发展的推动下,各个企业在运转过程中对电能的需求量呈现出逐年上涨的趋势,社会各界对配网电力工程的关注度逐渐提升。配网电力工程与人们的实际生活以及社会的健康发展有着紧密的联系,相关单位需要重视配网电力工程在技术应用方面存在的各种问题,并针对其施工安全制定有效的措施。论文首先分析了配网电力工程中存在的技术问题,提出了解决问题的针对性策略,最后结合配网电力工程的实际情况介绍了具体的施工安全措施,以供参考。     

A Structural Decomposition of Energy Consumption Based on a Hybrid Rectangular Input-Output Framework: Japan's Case

This paper proposes an I-O SDA model, based on a commodity technology assumption, to identify the sources of changes in the energy demand structure, the non-energy input structure, the non-energy product-mix and the non-energy final demand of embodied energy requirements. The model contains two features. First, the hybrid rectangular input-output framework expressed in both monetary and physical terms is introduced to relax the effects of different energy prices among industrial sectors on the input structure in physical terms. Second, the demand structure of the input-output system is decomposed into the structure of energy sectors and other sectors by applying the hierarchy system with feedback loops of non-energy sectors. We identify the sources of the changes in Japan's energy use structure between 1985 and 1990. The major findings are that the total energy requirement has increased, mainly because of the changes in the non-energy final demand, while the product-mix changes have opposite effects, that is, energy savings.     

Developing a framework for network and cluster identification for use in economic development policy-making

Drawing on extensive academic research concerning clusters and networks, this paper seeks to create a framework capable of reviewing and monitoring different aspects of clusters and networks on an ongoing basis. The nine-element framework allows evaluation of the structures and processes for the eight basic cluster types identified from the literature. The use of this framework as a complimentary tool to the Multi-sectoral Qualitative Analysis (MSQA) methodology is then demonstrated using three examples (the construction, hardwood timber and higher education sectors). The data was gathered from three sets of key stakeholders (government, institutions and industry) provided from a recent study funded by the Welsh Assembly Government's Small Grants Research Programme. These cases illustrate the use of the framework in helping to generate the initial information necessary for subsequent cluster development policy (within overall regional economic development) by government to occur. The framework provides tools for reviewing and monitoring individual sectors. Information captured within the framework can also help in ameliorating problems in sectors likely to decline further. The need for further development research is also identified. Specifically at the level of the firm and network, there is a need to generate a more detailed framework of analysis of factors that contribute to successful processes of network management, learning and innovation, from which more detailed policy could be enacted in future.     

Changing Productive Relations,Linkage Effects,and Industrialization

This paper develops a multi-sector endogenous innovation model that is able to take changing productive relations among sectors into account. It is shown that while productivity and demand shocks do not induce any changes in productive relations and linkage effects, shocks in the productivity of R&D increase both backward and forward linkages. Key sectors are characterized as having high forward and backward linkages, which are consistent with the definition of key sectors in the existing empirical studies. However, vertical specialization generates not only sectors with high backward and low forward linkages, but also sectors with low backward and high forward linkages. As a consequence of this vertical specialization, the latter sectors become key sectors, in the sense that they have significant effects on business fluctuations. This implies that general-purpose technology sectors emerge, and sector-specific policies for these sectors play a critical role in economic development and growth.     

Local trade networks and spatially persistent unemployment

This paper studies the effects of local trade networks on the spatial distribution of employment in a model that allows for effective demand externalities as well as home bias. It is shown that, if labor can be hired in continuous quantities, then the long run spatial distribution of employment is uniform, and independent of any trade network topology. When labor has binary support, however, local trade networks are found to generate spatial unemployment clusters which can persist indefinitely.     

An analysis of geographical agglomeration and modularized industrial networks in a regional cluster: A case study at Yamagata prefecture in Japan

In a regional innovation system, a dense inter-organizational network within the region is recognized as a key factor in enhancing knowledge diffusion, regional learning, and effective resource transfers. Therefore, understanding the network structure and physical proximity of organizations is essential. In this paper, we investigated the industrial structure of Yamagata prefecture in Japan as a case study. Because Yamagata is a representative industrial region, the analysis can also provide an insight into other industrial regions. Initially, we investigated the geographical dispersion of firms and found them to be agglomerated along Route 13 and the Tohoku Shinkansen railroad, indicating that infrastructures for transportation still have a decisive role in terms of site location. Subsequently, we analyzed the modular structure of the inter-firm network. The results showed that hub firms construct a different type of network and play different roles within the inter-firm network, reflecting their strategic choice. The results also showed that there is a tendency for firms to transact with those in close proximity, and that firm location is also affected by the location of the hub firm in the module in addition to the infrastructures.     

DSM对配电网规划的影响

配电网是城市现代化建设的重要基础设施之一,同时也为用户提供优质电能的关键环节。其建设的好坏直接影响到城市经济的发展,人民生活水平质量的提高、投资环境的优化等。充分体现行业规划的宏观性和指导性,坚持电力的可持续发展战略,提高能源利用率,加快电网的技术创新,以确保电网的安全经济运行。电力需求侧管理的实施对于电力系统以及用户产生了一定的影响,对配电网的规划有一定的作用。在对DSM进行多种条件下分析的过程,通过多种手段对电力负荷等等方面进行了探讨,以供参考。     

Knowledge flow and inter-firm networks: The influence of network resources,spatial proximity and firm size

The objective of this paper is to analyse the characteristics and nature of the networks that firms utilize to access knowledge and facilitate innovation. The paper draws on the notion of network resources, distinguishing two types: social capital–consisting of the social relations and networks held by individuals; and network capital–consisting of the strategic and calculative relations and networks held by firms. The methodological approach consists of a quantitative analysis of data from a survey of firms operating in knowledge-intensive sectors of activity. The key findings include: social capital investment is more prevalent among firms frequently interacting with actors from within their own region; social capital investment is related to the size of firms; firm size plays a role in knowledge network patterns; and network dynamism is an important source of innovation. Overall, firms investing more in the development of their inter-firm and other external knowledge networks enjoy higher levels of innovation. It is suggested that an over-reliance on social capital forms of network resource investment may hinder the capability of firms to manage their knowledge networks. It is concluded that the link between a dynamic inter-firm network environment and innovation provides an alternative thesis to that advocating the advantage of network stability.     

Supply chain immune system: concept,framework, and applications

Behind every product and service is a supply chain. These supply chains are extremely complex and vulnerable to multifarious risks that threaten their performance and stability, ranging from simple machine or truck breakdowns to catastrophic natural disasters. This paper presents a novel framework for supply chain risk management based on the analogy of the biological immune system, which has multiple layers of increasing sophistication to neutralise a variety of risks. The various layers include: physical barriers, innate response, and adaptive response. The working of the framework is explained with an illustrative semiconductor supply chain. Applications of this framework include short-term disruption response and long-term immunisation, providing planner and manager level insights respectively.     

Computing systemic risk using multiple behavioral and keystone networks: The emergence of a crisis in primate societies and banks

What do the behavior of monkeys in captivity and the financial system have in common? The nodes in such social systems relate to each other through multiple and keystone networks, not just one network. Each network in the system has its own topology, and the interactions among the system’s networks change over time. In such systems, the lead into a crisis appears to be characterized by a decoupling of the networks from the keystone network. This decoupling can also be seen in the crumbling of the keystone’s power structure toward a more horizontal hierarchy. This paper develops nonparametric methods for describing the joint model of the latent architecture of interconnected networks in order to describe this process of decoupling, and hence provide an early warning system of an impending crisis.     

Toward The Networked City? Translating Technological ideals and Planning Models in Water and Sanitation Systems in Dar es Salaam

One of the most influential ideals for constructing and managing cities and infrastructures worldwide is that of the ‘networked city'. This ideal refers to the technological design and morphology of cities integrated and ordered by infrastructure networks and to a specific model in the operation, use and planning of infrastructures. Engineers, planners and public health officials have aspired to align with this circulating ideal of urban modernity, hygiene and rationalization of nature in (re)producing cities worldwide. Like many cities in the global South, Dar es Salaam cannot be characterized by universal access to centralized water and sewerage networks. While formal institutions, planning documents and strategies reflect significations, as well as organizational and planning models of a networked city, its urban environments are shaped by hybrid arrangements manifesting unequal access to water and sanitation services. We build on postcolonial critique in urban studies and science and technology studies to inquire into this contradiction by addressing the translation of the ideal of the networked city in Dar es Salaam. Our objective is to uncover the negotiations over the translation of this hegemonic model, and to delineate the scope of creativity in reinventing alternative urban modernities that defy simplistic notions of technology transfer.     

霉售连锁企业物流配送网络评价研究

基于供需匹配度。分析了连锁零售企业配送网络中由时间、数量的匹配关系引发的物流成本。将不同量纲的时间、数量和费用的单位统一为费用,构建出广义费用函数模型,以此为评价零售连锁企业物流配送网络的评价服务水平提供科学依据。     

FORGING THE IRON CAGE: INTERORGANIZATIONAL NETWORKS AND THE PRODUCTION OF MACRO-CULTURE

This article examines how organizations participate in shaping the cultural environments of the nations that they inhabit. Cultural environments, we argue, emerge in a primarily unintended fashion as a consequence of routine, network interactions among organizations in four overlapping yet analytically distinct sectors: government, the mass media, educational institutions, and the business community. Differences in the structure of these national networks condition dynamic patterns of change in nations’cultural environments. In highly centric national networks, government will tend to dominate the production of cultural environments. In less centric networks, other institutional sectors play more commanding roles.     

Knowledge networks and universities: Locational and organisational aspects of knowledge transfer interactions

The aim of this paper is to explore the inter-organisational knowledge networks that universities in the UK engage in through their knowledge transfer activities. In particular, it analyses the extent to which organisational and locational factors are associated with the nature of these networks. Based on a UK-wide survey of universities, it is shown that the nature and formation of inter-organisational knowledge networks is related principally to the organisational characteristics of network actors, and secondarily to their spatial location. The characteristics of a network actor, in this case a university, are likely to influence the type, diversity and location of other actors with which it networks. Nevertheless, spatial location is an important secondary factor influencing network formation, especially the geographic reach of a university's network. It is further found that the value generated by universities from their knowledge networks is associated with the type of organisations within which they interact as well as their spatial location. It is concluded that such networks impact both regional innovation capability and regional competitiveness. The results have implications for policymakers, especially in terms of the spatial scale at which the demand and supply for university knowledge can be best mediated.     

European Technology,Trade and Income Changes for 1975–85: An Intercountry Input–Output Decomposition

This paper refines, develops and applies input–output (IO) decomposition analysis: by providing it with a unique intercountry perspective, by concentrating on explaining income growth, and by systematically separating the effects of trade structure changes from the effects of technology and preference changes. The resulting matrix formula distinguishes six components and is applied to a set of European Community (EC) intercountry IO tables for 1975 and 1985 with 25 sectors and eight EC countries. Because GDP growth is analyzed in nominal terms, macro-economic demand growth is found to be the most important component. The other five components relate to the effects of coefficient changes. Their sizes are smaller, but significant and widely different between sectors and countries, which shows that there is clear potential for effective sector policies.     

A Disaggregated Econometric Model Based on Flexible Functional Forms

This paper introduces an econometric input—output model for Western Germany in a disaggregation of 12 commodities and sectors. The ‘Jorgenson’-type equilibrium model is based on flexible functional forms on the supply and on the demand side of the commodity markets. For intermediate demand, the relationship between the translog function and its special cases—the Cobb-Douglas function— is exploited. Prices and production are endogenized by market-clearing conditions. The fully integrated model also endogenizes capital accumulation, a rudimental govern-ment budget and income distribution, as well as wages and labour demand on rationed labour markets. The results of a dynamic ex post simulation show that the model is able to depict the sectoral economic development in Germany in the sample period from 1970 to 1986.     

Efficiency analysis of social protection expenditure in the Italian Regions

The attention and demand for greater social protection is increasing among the populations of all European countries. It is difficult to identify which of the structures and infrastructures, sectors and regional budgets are inefficient and/or negligent in respect of providing more social protection. In the political sphere the problem is examined from a qualitative point of view, because it is essential to have a valid decisional support system that provides useful information for structural and economic intervention programs devised to improve social protection. Regional spending on social protection is a fundamental component of individual well-being. This work is precisely aimed at assessing individual well-being in terms of technical expenses efficiency in the Italian Regions. Stochastic frontier analysis and a nonparametric deterministic model structure are the tools used to investigate the social protection determinants in the paper.