Acquisition through innovation tournaments in high-tech industries: a comparative perspective

Acquisition of innovative firms is a widely observed phenomenon in high-tech industries. On the basis of distinct advantages of large and small firms, in this paper, we build a tournament model with possible acquisition activity of large firms to derive hypotheses on interdependencies between acquisition frequency and post-acquisition success rates. We find empirical support for our hypotheses that (1) acquisitions increase overall innovation output and (2) that the number of acquisitions is higher in industries with larger heterogeneity between established firms and young start-ups. However, our third hypothesis derived from the formal model that innovation success following from acquisitions varies across industries is only partially confirmed.     

Exports versus FDI in German Manufacturing: Firm Performance and Participation in International Markets

Recent theoretical work has been able to explain how even within narrowly defined industries, firms can exhibit heterogeneous degrees of participation in international commerce. Differences in productivity between firms are the principal explanation offered by theory to explain heterogeneity with respect to international commerce. In particular, theory predicts that the least productive firms will produce for the domestic market only, while better performers engage in export activities, and the top firms establish foreign subsidiaries. This paper presents an empirical test of the relationship between productivity and patterns of international trade and production. Using German firm‐level data from 1996 to 2002, we test the predicted rank ordering of productivity according to firms’ trade pattern by examining the distribution functions of the three subsets of firms for stochastic dominance. Our results are generally consistent with the predictions from theory, and document significant productivity differences according to trade patterns.     

Inter-Industry Wage Differentials in Greece: Evidence from Quantile Regression Analysis

Using a consistent estimator of the covariance matrix of the asymptotic distribution of the quantile regression estimator with intra-cluster correlation of the error terms, the paper investigates whether and to what extent inter-industry wage differentials derive from worker heterogeneity in the form of unobserved quality. To conduct this study, we pioneer in utilizing a unique data set, the European Union Structure of Earnings Survey for Greece, which follows a two-stage random sampling approach of employees clustered within firms. Data refer to 2010 when the first elements of the economic adjustment programme to deal with the chronic deficiencies of the Greek economy and restore sustainable public finances, competitiveness and set the foundation for long-term growth, gained visibility. Results point to high wage dispersion across industries at the mean of the conditional wage distribution, even after controlling for personal and workplace characteristics. However, evidence for the unobserved heterogeneity hypothesis is rather scant. Therefore, there is room for efficiency wage or rent-sharing theories in accounting for a large part of inter-industry wage differentials tentatively implying that firm heterogeneity in the ability to pay matters more than employee unobservable attributes in the wage determination process.     

Heterogeneity in price setting behavior,spatial disparities and sectoral diversity: Evidence from a panel of Italian firms

In this paper, we analyze firms' pricing behavior using a full informative micro dataset that accounts for a large part of Italian firms. In our view, “the black boxes” to examine are the relations between price setting, market structure and spatial disparities. The paper aims to extend the empirical literature in several directions. A first goal of the research is to investigate the link between heterogeneity in price changes and spatial dependence. Besides, we compare the price dynamics among sectors, namely manufacturing vs. service. It is irrefutable that prices stickiness is linked to good market rigidities. Consequently, these issues have extremely important policy implications; for instance, the Monetary Authority considers the macro price indexes in order to determine the right policy to stabilize the economy and to improve social welfare. However, the Central Bank does not distinguish the likely aggregation bias source from the cross sector–region–country heterogeneities.     

Dissertation abstract: The experimental analysis of the political economics of fisheries governance

This dissertation focuses on the political economy of fisheries governance. The study develops a formal model of fisheries governance by combining the features of the common pool fishery and the political institution of lobbying; designs a laboratory fishery governance institution and conducts economic experiments to test the hypotheses derived from the formal model. Specifically, the study analyzes how fishing firms invest in efforts to influence fishery regulation and management through voluntary contribution lobbying. The study also analyses and compares contribution and effort behavior in the lobbying and the CPR using data from economic experiments. The results indicate that lobbying to change suboptimal fishery regulations was significantly below the subgame perfect equilibrium prediction and contributions to raise the cap were significantly different than contributions to lower the cap toward the social optimum. Study results show that subjects successfully lobbied to raise inefficiently low fishing quotas, but were unable to lobby to reduce inefficiently high fishing quotas. Detailed analysis of subjects’ contribution and effort behavior suggest that despite the interesting benefit-cost duality between pure public goods and CPRs, the pattern of cooperative behavior in these two social dilemma situations was different and the level of cooperation in the voluntary contribution lobbying experiment was lower than those reported in other public goods experiments. To provide external validity to these experimental findings, the study further analyzes and compares lobbying expenditures in the fishery sector with those in other natural resource industries using field data from the United States. A comparison of actual lobbying expenditures as percentage of valued added shows that lobbying effort in the U.S fishery sector is not significantly different than those in other natural resource industries such as mining and electric utility industries, but the pattern of lobbying is different. Whereas fishing firms lobby through associations or pressure groups, firms in other natural resource industries lobby unilaterally. This observation suggests that differences in industrial structure and incentives influence the pattern of lobbying and the lobbying behavior of firms across industries. The theoretical predictions derived from the formal model of fisheries governance are consistent with our experimental findings and with the field data on lobbying in the US fisheries sector. These findings suggest that heterogeneity drives rent-seeking activities in the US fisheries sector and that fishing firms attempt to circumvent political collective action problems by forming and lobbying through associations of stakeholders with relatively homogenous policy preferences. JEL Classification D22, D72, D78, H41 Advisor: Prof. Jon G. Sutinen     

Innovation and productivity in manufacturing and service firms in Catalonia: a regional approach

This article analyses the determinants of research and development (R&D) and the role of innovation on labour productivity in Catalan firms. Our empirical analysis found a considerable heterogeneity in firm performances between the manufacturing and service industries and between low- and high-tech industries. The frontiers that separate manufacturing and service industries are increasingly blurred. In Catalonia high-tech knowledge-intensive services (KIS) play a strategic role in promoting innovation in both manufacturing and service industries, and driving growth throughout the regional economy. Empirical results show new firms created during the period 2002–2004 that have a greater R&D intensity than incumbent firms (54.1% in high-tech manufacturing industries and 68.8% in high-tech KIS). Small and young firms in the high-tech KIS sector are very prone to carrying out R&D and they invest more in innovation projects. R&D expenditures, output innovation, investment in physical capital, market share and export have positive effects on labour productivity in both the manufacturing and service sectors. Firm size, on the other hand, has a positive effect on productivity in manufacturing industries but not in services.     

中国区域智慧专业化空间分布类型与时空格局演变

收集2012—2016年中国各省域单元产业产值等相关数据,通过区位熵识别各区域智慧专业化产业集合,构建区域智慧专业化发展水平评价体系,分析各区域智慧专业化发展水平以及地理分布格局。结果发现：智慧专业化发展水平具有空间分异特征,研究区域间的差异性在提升,东部地区是智慧专业化发展水平的高值区;智慧专业化发展水平空间分布具有显著空间正相关关系,智慧专业化发展水平高的区域其邻近区域发展水平也相对较高;同类型空间关系的区域呈现出较为明显的连片分布特征,H-H区域由东南沿海地区向长江沿线区域扩展,而西部地区连片的L-L区域没有发生改变;智慧专业化产业发展水平、智慧专业化产业促进能力、智慧专业化产业关联度以及智慧专业化产业发展环境差异性,对中国区域智慧专业化发展水平呈现出的不均衡空间分布类型具有重要影响。     

Market power and exchange rate pass-through

In this paper we provide new empirical evidence on the relationship between market power, as measured by market share, and incomplete exchange rate pass-through. The role of market power is examined in the context of a Cournot model, which is estimated with data relating to Japan's presence in the US market. To test for the existence of possible aggregation biases due to sectoral heterogeneity, estimations are carried out on time series data for the total economy and the manufacturing sector and on panel data for five manufacturing industries at the three-digit level of classification, using the Johansen multivariate cointegration technique and the recently developed by [Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4, 109–142] multivariate panel cointegration technique. Hypotheses about the degree of pass-through are tested as restrictions on estimated equilibrium pricing equations and robustness tests are performed. The empirical results indicate that Japanese firms have market power and this validates the use of an imperfect competition model. However, it appears that market power is not the only element on which to base the analysis of the incomplete exchange rate pass-through by Japanese firms.     

Market structure and competition in transition: results from a spatial analysis

The present article provides first microlevel (indirect) empirical evidence on changes in entry barriers, the determinants of firm profitability as well as the nature of competition for a transition economy. We estimate size thresholds required to support different numbers of firms for several retail and professional service industries in a large number of geographic markets in Slovakia. The 3 time periods in the analysis (1995, 2001 and 2010) characterize different stages of the transition process. Specific emphasis is given to spatial spill-over effects between local markets. Estimation results obtained from a spatial ordered probit model suggest that entry barriers have declined considerably (except for restaurants) and that the intensity of competition has increased on average. We further find that demand spill-overs and/or the effects associated with a positive correlation in unobservable explanatory variables seem to outweigh negative spill-over effects caused by competitive forces between neighbouring cities and villages. The importance of these spatial spill-over effects differs across industries.     

Intra-industry differences in vertical integration, heterogeneous costs and pricing: the case of web hosting

In many differentiated product industries, both traditional and “new economy” activities, vertically integrated firms also supply inputs to apparent rivals in the downstream business. This generates heterogeneity between low- and high-sunk cost suppliers with implications for entry and competitive conduct. The web hosting market is typical with primary suppliers operating alongside resellers who rent server space from them. We explore the impact of competition in US hosting using a unique dataset covering 15,000 packages offered by 3,500 firms. The results suggest price is sensitive to competitor clustering in quality space; an outcome consistent with easy entry for resellers with ultra-low fixed costs.

ARE COOPERATIVES MORE PRODUCTIVE THAN INVESTOR‐OWNED FIRMS? CROSS‐INDUSTRY EVIDENCE FROM PORTUGAL

We analyse empirically whether cooperatives and investor‐owned firms differ in terms of productive efficiency. Using rich Portuguese panel data covering a wide range of industries, we apply two different empirical approaches to estimate potential differences in productive efficiency. The results from our benchmark random‐effects model show that cooperatives are significantly less productive, on average, than investor‐owned firms, both at the aggregate level and for most of the industries considered. However, the results derived from a System‐GMM approach, which is our preferred empirical strategy, are much less conclusive, and we cannot conclude that cooperatives are generally less efficient that investor‐owned firms. With either approach, though, we find no evidence that cooperatives are more productive than investor‐owned firms in any industry.     

Quantifying knowledge exchange in R&D networks: a data-driven model

We propose a model that reflects two important processes in R&D activities of firms, the formation of R&D alliances and the exchange of knowledge as a result of these collaborations. In a data-driven approach, we analyze two large-scale data sets, extracting unique information about 7500 R&D alliances and 5200 patent portfolios of firms. These data are used to calibrate the model parameters for network formation and knowledge exchange. We obtain probabilities for incumbent and newcomer firms to link to other incumbents or newcomers able to reproduce the topology of the empirical R&D network. The position of firms in a knowledge space is obtained from their patents using two different classification schemes, IPC in eight dimensions and ISI-OST-INPI in 35 dimensions. Our dynamics of knowledge exchange assumes that collaborating firms approach each other in knowledge space at a rate μ for an alliance duration τ. Both parameters are obtained in two different ways, by comparing knowledge distances from simulations and empirics and by analyzing the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). This is a new measure that takes in account the effort of firms to maintain concurrent alliances, and is evaluated via extensive computer simulations. We find that R&D alliances have a duration of around two years and that the subsequent knowledge exchange occurs at a very low rate. Hence, a firm’s position in the knowledge space is rather a determinant than a consequence of its R&D alliances. From our data-driven approach we also find model configurations that can be both realistic and optimized with respect to the collaboration efficiency \(\mathcal {\hat {C}}_{n}\). Effective policies, as suggested by our model, would incentivize shorter R&D alliances and higher knowledge exchange rates.     

Firm size distribution and employment fluctuations: Theory and evidence

We show that the firm-size distribution is an important determinant of the relationship between an industry's employment and output. A theoretical model predicts that changes in demand for an industry's output have larger effects on employment, resulting from adjustments at both the intensive and extensive margin, in industries characterised by a distribution that has a lower density of large firms. Industry-specific shape parameters of the firm size distributions are estimated using firm-level data from Germany, Sweden and the UK, and used to augment a relationship between industry-level employment and output. The empirical results align with the predictions of the theory.     

A class of spatial econometric methods in the empirical analysis of clusters of firms in the space

In this paper we aim at identifying stylized facts in order to suggest adequate models for the co-agglomeration of industries in space. We describe a class of spatial statistical methods for the empirical analysis of spatial clusters. The main innovation of the paper consists in considering clustering for bivariate (rather than univariate) distributions. This allows uncovering co-agglomeration and repulsion phenomena between the different sectors. Furthermore we present empirical evidence on the pair-wise intra-sectoral spatial distribution of patents in Italy in 1990s. We identify some distinctive joint patterns of location between different sectors and we propose some possible economic interpretations. A previous version of this paper was presented at the Workshop on Spatial Econometrics and Statistics, held in Rome 25–27 May 2006. We wish to thank the participants for the useful comments received. The comments received by two anonymous referees are also gratefully acknowledged. They improved substantially the quality of our work.     

The importance of worker, firm and match effects in the formation of wages

This paper estimates a Mincerian wage equation with worker, firm, and match specific effects and thereby complements the growing empirical literature started by the seminal paper of Abowd (Econometrica 67:251–333, 1999b). The analysis takes advantage of the extensive Danish IDA data which provides wage information on the entire working population in a 27-year period. We find that the major part of wage dispersion in the Danish labor market can be explained by differences in worker characteristics. However, the relative contributions of the three components vary across subgroups of workers. The match effect constitutes a non-negligible part of the overall wage dispersion. An analysis of inter-industry wage differentials shows that firm characteristics are more important at the industry level than at the worker level. Similarly, we find evidence that high-wage workers tend to sort into high-wage industries to a larger extent than they sort into high-wage firms within industries. The mobility pattern of workers is related to the quality of the firm and the match. Finally, we find that firms’ wage policies differ across subgroups.     

Non-convexities in the adjustment of different capital inputs: A firm-level investigation

Recent developments in investment research have highlighted the importance of non-convexities and irreversibilities in firms’ adjustment of quasi-fixed inputs. Aggregation across capital goods may smooth out the discontinuities associated with the adjustment of individual assets. Lack of suitable data is one of the reasons why empirical work has typically relied on the assumption of capital homogeneity. In this paper we exploit a data set of 1539 Italian firms which allows us to disaggregate capital into equipment and structures, and purchases and sales of assets. We construct measures of fundamental Q to capture investment opportunities associated with each asset. We uncover the pattern of dynamic adjustment by using non-parametric techniques to relate each individual investment to its own fundamental Q.     

中国沿海地区外资加工贸易模式与本土产业升级:苏州地区的案例研究

苏州的案例表明,中国沿海地区的工业化道路中外资主导的加工贸易模式,尽管在初期能迅速推动当地产业结构的演进,但也极易导致当地产业结构高度化的失衡,形成外资挤压性的二元化发展格局,进一步引发本土企业空心化和边缘化的危机。因此有必要在重视本土企业发展的基础上,大力鼓励和发展本土企业的国际代工,努力提高本土企业的创新能力和发展能力,并实现传统产业和高技术产业的互动和平衡发展。     

Social networks and industrial geography

In many industries, production resides in a small number of highly concentrated regions; for example, several high tech industries cluster in Silicon Valley. Explanations for this phenomenon have focused on how the co-location of firms in an industry might increase the efficiency of production. In contrast, this article argues that industries cluster because entrepreneurs find it difficult to access the information and resources they require when they reside far from the sources of these valuable inputs. Since existing firms often represent the largest pools of these important factors, the current geographic distribution of production places important constraints on entrepreneurial activity. As a result, new foundings tend to arise in the same areas as existing ones, and hence reproduce the industrial geography. In support of this thesis, the article reviews empirical evidence from the shoe manufacturing and biotechnology industries.JEL Classification: L11, M13, R30Adapted from a plenary talk delivered at the 8 ^th annual meetings of the International Schumpeter Society in Gainesville, FL. Constança Esteves and Lee Fleming provided comments useful to developing this written version.     

The effects of cross‐border M&As on the acquirers’ domestic performance: firm‐level evidence

Abstract This paper provides empirical evidence on the effects of cross‐border mergers and acquisitions (M&As) on the acquiring firms’ domestic performance in the U.K. and France. We build a new firm‐level data set that combines a global M&A database with balance sheet data for the years 2000 to 2007. Combining matching techniques with a difference‐in‐differences estimator, we find that cross‐border M&As boost on average acquirers’ domestic sales and investment, and they are not accompanied by a downsizing of the domestic labour force in either country. Further, cross‐border M&As in knowledge‐intensive industries lead to improvements in domestic productivity. Our results display some heterogeneity across industries and types of acquisitions, suggesting a connection between the motives for international M&As and their resulting effects.     

邻近性、区位指向与信息服务业集聚——以上海为例

本文以上海为例,从邻近大学与研究机构、邻近相关企业两个角度阐述邻近性促进都市内部信息服务企业集聚的机理。在分析上海市信息服务业空间分布的基础上,以上海265个邮编区为空间单元,应用负二项分布模型研究邻近性对信息服务业和三个子行业企业集聚的影响。研究发现,信息服务企业有偏离一般大学、选择邻近名牌大学的区位倾向。同时,它们选择邻近自然科学和自然科学技术研究机构、邻近企业集中度较高的开发区、邻近同行业代表性企业、邻近地价较高的城市中心区和近郊区。