Firm performance and knowledge spillovers from academic, industrial and foreign linkages: the case of China

Firm performance may be enhanced by linkages with academic institutions, other firms, and foreign markets that confer knowledge spillovers as well as internal R&D that creates firm-specific knowledge. In particular, firm productivity and innovation may be enhanced by positive externalities from knowledge and technology produced by universities and research institutions (URIs) and diffused to the domestic economy. Productive contributions from such linkages might be particularly expected in China, where policy measures have explicitly supported and facilitated connections between URIs and firms to stimulate economic development and competitiveness. In this paper, we measure the performance impact of such knowledge spillovers in Chinese firms by using a variety of specifications, estimators, and robustness checks, including an ??instrumental variable?? specification that controls for endogeneity. We find more patent activity in Chinese firms with URI connections and enhanced firm productivity particularly from linkages with research institutions (RIs). Introduction of new products, processes, and new businesses is also positively associated with linkages with research institutions, as well as with linkages with other firms.     

Agglomeration in an innovative and differentiated industry with heterogeneous knowledge spillovers

This paper introduces an agent-based simulation model to study the technological development, the economic performance of firms and the evolution of agglomerations in a differentiated industry. The analysis is based on the interaction and behavior of firms, which might share knowledge but at the same time are competitors on the goods markets. Firms do not only compete with quantities they can also introduce process and product innovations. The level of knowledge of a firm describes the capabilities to perform innovations. Knowledge can be accumulated by investing in R&D and by knowledge spillover, which depend on geographical and technological proximity. Simulation runs show that there is an incentive to agglomerate in young industries and that geographical proximity enhances innovation, especially the number of product innovations.      

Knowledge externalities and demand pull: The European evidence

This paper elaborates the microeconomic foundations of the demand pull hypothesis stressing the role of vertical knowledge externalities stemming from user–producer knowledge interactions that parallel vertical transactions. The paper articulates and tests the hypothesis that such competent demand is actually able to pull technological change only when it is expressed by advanced users, able to provide relevant knowledge externalities to their customers. Using input output tables we test empirically this hypothesis for 15 European countries in the years 1995–2007. The evidence confirms that the increase in productivity of the upstream sectors is positively influenced by the sector-level derived demand, according to the upstream rates of introduction of innovations and to the intensity of the user–producer interactions. The policy implications of the analysis enable to elaborate and implement the notion of a ‘competent’ public demand.     

Green innovation and knowledge: The role of size

This paper reports research on relationship between firm's knowledge sourcing strategy and green innovation. The data are taken from Spanish Technological Innovation Panel survey during 2007–2011. The study contributed to the literature by focusing on the moderating role of firm size on the relationship between knowledge sources and green innovations. Results from over 5,000 firms indicate a shift in the focus from internal knowledge to external knowledge when developing green innovations as firms grow in size. Despite benefits from broad knowledge search on green innovations, the relationship has an inverted U shape. The diminishing returns of knowledge breadth on green innovations are present for smaller firms and disappearing as firms get larger. Government policies promoting more coordination and knowledge complementarity between private and public sector will help to influence more knowledge transfer, ensuring a more sustainable and green economy.     

Wage bargaining,productivity growth and long-run industry structure

This paper studies the innovation dynamics of an oligopolistic industry. The firms compete not only in the output market but also by engaging in productivity enhancing innovations to reduce labor costs. Rent sharing may generate productivity dependent wage differentials. Productivity growth creates intertemporal spillover effects, which affect the incentives for innovation at subsequent dates. Over time the industry equilibrium approaches a steady state. The paper characterizes the evolution of the industry's innovation behavior and its market structure on the adjustment path.     

Growth in total factor productivity and links among firms

In this paper we study the relevance of links among firms in explaining the mean and the auto-correlation property of the aggregate total factor productivity rate of growth (Solow residual). Our approach relies on the interaction between idiosyncratic shocks of firms and the network structure of firms. We analytically study this phenomenon using the adjacency matrix of a complete network and we present a simulation with more general random adjacency matrices. We also check empirically, using Italian data, the relationship between the network structure and the Solow residual. In particular, in the empirical part, we find two main results: firstly, the relationship between the Solow residual and the measure of connectivity of firms is positive, in accordance with the analytical results. Secondly, we find that the measure of connectivity is pro-cyclical with the annual growth rate of industrial production.     

Informational externalities of initial public offerings: Does venture capital backing matter?

We examine the role of venture capital backing on informational externalities generated by IPO firms. Theoretical models predict that going public firms generate positive externalities creating a spillover effect for other firms to go public. In this paper, we posit that venture backed IPOs convey positive information about industry and this information is transferred to rival firms. We also hypothesize that intra-industry information transfer varies with rivals’ characteristics and IPO price revisions generate additional information that affects rivals’ valuation. The results show that rivals have positive valuation effects in response to venture backed IPOs and no significant reaction in response to non-venture backed IPOs. We find evidence that the effect on rival firms is stronger if they operate in less concentrated industries and have high growth opportunities. The larger the IPO proceeds, the higher the magnitude of rivals ‘valuation effects. Positive (negative) information revealed in the form of upward (downward) price revisions significantly impacts rivals’ reaction in response to venture backed IPOs.     

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.     

How do technological innovations affect corporate investment and hiring?

In this paper, we study the relation between technological advancement, and corporate investment and hiring. We build a corporate investment model with dynamic technology conditions, and we find the optimal investment and labor inputs increase in response to technological innovation shocks. Consistent with the model predictions, we empirically show that corporate investment and hiring increase following technological advancements, using various measures of technological innovation. Further, we find the effect is stronger for firms in more innovative industry, firms with higher capital intensity and firms with higher market-to-book ratio. Our findings provide evidence for the endogenous growth theory, i.e., firms with successful innovations tend to expand in capital investment and employment, suggesting technological innovations are, to some extent, Hicks-neutral.     

A NEW SECTORAL TAXONOMY BASED ON PECUNIARY KNOWLEDGE EXTERNALITIES: KNOWLEDGE INTERACTIONS IN A VERTICALLY INTEGRATED SYSTEM

The paper presents a new sectoral taxonomy that focuses on the existence of non-negligible external effects that derive from user–producer knowledge interactions. These are coupled with intermediate goods transactions, in a system of vertically integrated manufacturing and services sectors. These externalities, the so-called pecuniary knowledge externalities, are the main source of changing technological conditions experienced by downstream producers. A distinguishing feature of the taxonomy lies in its derivation from a particularly dynamic context of changing production functions. The taxonomy is empirically derived, examining effects generated by technological knowledge in a system of intermediate goods transactions and taking into account peculiar characteristics of sectors in European economies. The results allow for a classification of sectors in five groups. An analysis of these classes confirms previous evidence that technological characteristics of sectors across classes differ.     

Insider econometrics: A roadmap with stops along the way

For the past twenty five years, economists have been building theories of the optimal management of firms. For example, economic models suggest that under some conditions, piece rate pay raises performance, and under other conditions, promotions tournaments raise performance. Some of these theories have been tested, others have not. Economists are now using new empirical research tools, that we label “insider econometrics,” to test the impact of management practices on productivity: to model how much productivity changes; to model why management practices raise productivity; and to examine which firms benefit and why from alternative management practices. The methodology we describe is “insider” because it uses inside knowledge and data from within firms. It is “econometrics” because the methodology is often the application of treatment effects methods to modeling changing management practices within firms. However, the methods and challenges of insider econometrics are unique, and we identify several key features that are important in undertaking empirical studies of workers' productivity. Now that more firms are keeping data on employees, it is time to improve our analysis of the empirical study of the productivity of workers within firms.     

The role of Technological Business Incubators in supporting business innovation in China: a case of regional adaptability?

This paper examines the extent to which both the support services of Technological Business Incubators (TBIs) and exogenous local factors facilitate the innovation activity of incubated new ventures. Using data on all 215 surviving Chinese incubators and their incubated firms from government surveys conducted over five consecutive years from 2009 until 2013, combined with information from nine case studies, we examine the effects of four incubator services on three levels of innovation in incubated firms, whilst also taking account of key exogenous factors. Technical service support from an incubator was found to have had a positive influence on all levels of innovation activity across all regions whilst incubator financial support had a positive effect on the making of more advanced innovations. The availability of venture capital had a significant impact on making lower order innovations whereas the availability of scientific knowledge resources influenced more advanced innovation activity. Whereas TBI support services in the more developed Eastern region are mainly concerned with leveraging external resources, those in the less developed Central and Western regions are more concerned with compensating for the lack of external resources to support innovation.     

Early warning indicators and macro-prudential policies: a credit network agent based model

Credit network configurations play a crucial role in determining the vulnerability of the economic system. Following the network-based financial accelerator approach, we constructed an agent based model reproducing an artificial credit network that evolves endogenously according to the leverage choices of heterogeneous firms and banks. Thus, our work aims at defining both early warning indicators for crises and policy precautionary measures based on the endogenous credit network dynamics. The model is calibrated on a sample of firms and banks quoted in the Japanese stock-exchange markets from 1980 to 2012. Both empirical and simulated data suggest that credit and connectivity variations could be used as early warning measures for crises. Moreover, targeting banks that are central in the credit network in terms of size and connectivity, the capital-related macro-prudential policies may reduce systemic vulnerability without affecting aggregate output.     

The invisible hand of Laplace: The role of market structure in price convergence and oscillation

The “invisible hand” of the free market is remarkably effective at producing near-equilibrium prices. This is difficult to quantify, however, in the absence of an agreed model for out-of-equilibrium trade. Short of a fully reductionist model, a useful substitute would be a scaling law relating equilibration time and other market parameters. Even this, however, is missing in the literature.We make progress in this direction. We examine a class of Arrow–Debreu markets with price signaling driven by continuous-time proportional-tâtonnement. We show that the connectivity among the participants in the market determines quite accurately a scaling law for convergence time of the market to equilibrium, and thus determines the effectiveness of the price signaling. To our knowledge this is the first characterization of price stability in terms of market connectivity. At a technical level, we show how convergence in our class of markets is determined by a market-dependent Laplacian matrix.If a market is not isolated but, rather, subject to external noise, equilibrium theory has predictive value only to the extent to which that noise is counterbalanced by the price equilibration process. Our model quantifies this predictive value by providing a scaling law that relates the connectivity of the market with the variance of its prices.     

Impact of Green Innovation on Labor Productivity and its Determinants: an Analysis of the Korean Manufacturing Industry

Due to worsening environmental conditions around the globe, firms have been investing a great deal of money in green technologies as a way of coping with the environmental crisis. This paper uses a unique data set based on the Korea Innovation Survey to examine the impact of green innovation on labor productivity, and the determinants of environmental activities in 2010. The empirical results show that green innovation intended for both firm and customer benefits has a positive effect on labor productivity. This finding means that firms need to implement firm‐oriented green innovation as well as customer‐oriented green innovation in order to increase their performance. Our findings also show that there are significant differences in aggregate green innovations depending on different firm sizes and industries. Specifically, large firms implement environmental activities more than small ones, and pollution‐intensive industries tend to invest more in activities related to environmental technology. Copyright © 2013 John Wiley & Sons, Ltd and ERP Environment.     

Geographical and cognitive proximity effects on innovation performance in SMEs: a way through knowledge acquisition

This study explores the relative influence of geographical and cognitive proximity to explain innovation performance. This paper deepens the controversy between the significance of both types of proximity, contributing to a better understand their interconnections. The study further analyzes to what extent knowledge acquisition provides a congruent explanation of the effectiveness of innovation in proximity contexts. The paper has tested a structural model based on a sample of 224 Spanish footwear firms. Footwear industry is a mature and traditional industry with a significant presence of the territorial agglomeration of firms all over Spain. Findings suggest both a direct and indirect effect of cognitive proximity on innovation performance. However, an excess of geographical proximity produces spatial lock-in, thus limiting the access to new knowledge and lowering innovations. By contrast, proximity in terms of goals and culture leads firms belonging to a territorial cluster to achieve knowledge acquisition resulting in relevant innovation. Findings suggest that although transferable valuable knowledge exists in clustered contexts firms should adopt a proactive behavior to have access common knowledge and in order to generate effective innovations.     

Meanings on Multiple Levels: The Influence of Field-Level and Organizational-Level Meaning Systems on Diffusion

abstract    This study considers how organization-level and field-level meaning systems affect when firms adopt administrative innovations. We use a sample of over 1200 manufacturing sites to test hypotheses regarding the timing of adoption of Manufacturing Best Practice programmes. The results indicate that compatibility of the diffusing practice with the organization's internal meaning system is an important predictor of when firms adopt such programmes. However, the influence of such compatibility declines for later adopters – consistent with institutional pressures in the form of field-level meaning systems playing an increasing role over time. We also find that this decline occurs for sites with high exposure to institutional pressures, but not for sites with lower exposure. The findings suggest that internal meaning systems and differential exposure moderate the role of institutional pressures in the diffusion of administrative innovations. We discuss implications for theory and research on institutionalization and the diffusion of innovations.     

Italian industrial districts as cognitive systems: Are they still reproducible?

Adopting a knowledge-based perspective, this study develops a framework of how Italian industrial districts (IDs) operate and evolve as cognitive systems. First, we analyse the mechanisms that facilitate knowledge diffusion across firms within IDs, the enabler of cross-firm knowledge transfer (absorptive capacity) and the process of producing new knowledge by combination. Within this analysis, we consider the formation of new firms resulting from the break-away of human resources from existing district firms (spin-offs) as a particular form of knowledge transfer and production within districts. Knowledge production by combination may take place not only within boundaries of IDs, but also involve external sources. We suggest that innovations made by combining internal and external knowledge have played an important role in shaping the evolutionary trajectories of IDs. Finally, again from the cognitive perspective, we address the issue of how globalization impacts on district systems, concentrating on the positive role that two different types of local actors play in their reproduction and evolution: the global–local firms and institutions providing knowledge-intensive business services.     

Externalities of R&D Expenditures

Innovation is generally recognized as a major source of economic growth. R&D investments explicitly aim at generating innovations and creating knowledge. Since knowledge has certain public good properties, positive externalities are likely to exist. In this paper, we extend well-known concepts from the input-output literature (backward multipliers) to indicate at which commodities stimuli should be targeted to enhance R&D and its positive externalities in the economy as a whole. Next, we argue that there may also be negative externalities of R&D, due to increased prices. This issue can be studied by means of forward multipliers. Both concepts are applied to the United States, 1977-90.     

WHICH AGGLOMERATION EXTERNALITIES MATTER MOST AND WHY?

This paper revisits the ongoing discussion on the importance of agglomeration externalities – specifically specialization, diversity and competition effects – that may contribute to innovation, productivity and urban employment growth. Previous meta‐analyses suggested that the evidence on agglomeration externalities is strongly context‐specific. Expanding an earlier analysis of 31 articles, we seek to draw in this paper more robust conclusions by means of the statistical evidence for agglomeration externalities presented in 73 scientific articles, all building on the seminal work of Glaeser et al. (1992). Our results confirm that the heterogeneity among studies is huge and can only be partially accounted for by means of an ordered probit analysis. Additionally, some evidence of publication bias is found. We conclude that the conventional lines of inquiry in this literature may now have reached strongly diminishing returns. New lines of inquiry, using rich micro‐level data on firms and workers, dynamic general equilibrium models at the macro level, more attention for spatial and temporal variation in the impacts of agglomeration, and further investigations into the spatial scope of externalities are promising avenues for further research that can enhance our understanding of how agglomeration externalities continue to fuel our increasingly urbanized world.