A central part of the innovation process concerns the way firms go about organizing search for new ideas that have commercial potential. New models of innovation have suggested that many innovative firms have changed the way they search for new ideas, adopting open search strategies that involve the use of a wide range of external actors and sources to help them achieve and sustain innovation. Using a large-scale sample of industrial firms, this paper links search strategy to innovative performance, finding that searching widely and deeply is curvilinearly (taking an inverted U-shape) related to performance. Copyright © 2005 John Wiley & Sons, Ltd.

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Open for innovation: the role of openness in explaining innovation performance among U.K. manufacturing firms

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

The paper is concerned with spatial clustering of economic activity and its relation to the spatiality of knowledge creation in interactive learning processes. It questions the view that tacit knowledge transfer is confined to local milieus whereas codified knowledge may roam the globe almost frictionlessly. The paper highlights the conditions under which both tacit and codified knowledge can be exchanged locally and globally. A distinction is made between, on the one hand, the learning processes taking place among actors embedded in a community by just being there dubbed buzz and, on the other, the knowledge attained by investing in building channels of communication called pipelines to selected providers located outside the local milieu. It is argued that the co-existence of high levels of buzz and many pipelines may provide firms located in outward-looking and lively clusters with a string of particular advantages not available to outsiders. Finally, some policy implications, stemming from this argumen...

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Clusters and knowledge: local buzz, global pipelines and the process of knowledge creation

The 2008 crash has left all the established economic doctrines - equilibrium models, real business cycles, disequilibria models - in disarray. Part of the problem is due to Smith’s "veil of ignorance": individuals unknowingly pursue society’s interest and, as a result, have no clue as to the macroeconomic effects of their actions: witness the Keynes and Leontief multipliers, the concept of value added, fiat money, Engel’s law and technical progress, to name but a few of the macrofoundations of microeconomics. A good viewpoint to take bearings anew lies in comparing the post-Great Depression institutions with those emerging from Thatcher and Reagan’s economic policies: deregulation, exogenous vs. endoge- nous money, shadow banking vs. Volcker’s Rule. Very simply, the banks, whose lending determined deposits after Roosevelt, and were a public service became private enterprises whose deposits determine lending. These underlay the great moderation preceding 2006, and the subsequent crash.

The Economic Institutions of Capitalism

This paper investigates the relationship between home and offshore R&D activities on the knowledge production of the investing home region. Debate is ongoing on whether R&D offshoring complements the R&D performed at home. In the light of increased offshoring of innovative activities to emerging countries, we explicitly focus on Brazil, Russia, India, China, Singapore and Taiwan. We suggest that complementarity should obtain, when home region and offshore R&D activities are dissimilar as well as when offshore R&D activities is about modular and less complex technologies. We ground our predictions on arguments related to geographical technological specialisation and reverse knowledge transfer from offshore locations to home regions within the more general open innovation trend. Using a theoretical framework based on the international business literature and the regional system of innovation perspective, we estimate a knowledge production function for a sample of 221 regions from 21 OECD countries with home region patent applications as the dependent variable. Our test supports our predictions on the complementarity between home region and offshore R&D. (This abstract was borrowed from another version of this item.)

The impact of R&D offshoring on the home knowledge production of OECD investing regions

The Importance of Technology-Based Intersectoral Linkages for Market Share Dynamics. — The paper introduces technology-based intersectoral linkages (or technological spillovers) in an empirical model of international market share dynamics. The Pavitt taxonomy is applied as a yardstick for interpreting the empirical results. Overall, the results appear to be broadly consistent with the criteria behind the taxonomy, on the relative importance of the different factors of competitiveness in the different sectors. In particular, unit labour costs appear to play the largest role in supplier-dominated industries, ‘own sector’ technological activity plays the largest role in science-based industries, upstream linkages in scale-intensive and downstream linkages in specialized-supplier types of industries.

https://www.jstor.org/stable/info/40440812

The Importance of Technology-Based Intersectoral Linkages for Market Share Dynamics.

The paper is an analysis of Balassa’s ‘revealed comparative advantage’ (RCA). The papers shows that when using the RCA, it should always be adjusted in such a way, so that it becomes symmetric. The conclusion is based on a theoretical discussion of the properties of the measure, but also on convincing empirical evidence, based on the Jarque-Bera test of normality of the error terms from regressions, using both the RCA and the ‘Revealed Symmetric Comparative Advantage’ (the RSCA). The RSCA is also compared to other measures of international trade specialisation. These measures included the Michaely index and the chi square measure. The conclusion emerging from the analysis is that the RSCA is - on balance - the best measure of comparative

Revealed Comparative Advantage and the Alternatives as Measures of International Specialisation

The main focus of the paper is on the recent development of clusters defined as “resource areas”. The concept has been a cornerstone in the technology and industrial policies laid out from the Danish Ministry of Business and Industry, since 1993. Earlier studies (industrial complexes) identified clusters using transactions, often in an input-output framework, while the present clusters are to a larger degree based upon a demand perspective. The paper firstly describes and assess the earlier industrial complex studies, and other related case studies of clusters of particular positions of strength in the Danish economy. The industrial complexes and micro-founded studies of Danish clusters, have all been either a direct input, or a reference point when developing the resource areas. However, the most direct influence have been the Danish Porter studies. Denmark participated as one of ten countries in M. E. Porter’s analysis of clusters of competitive advantages. Accordingly, the Danish Porter studies are summarised. In continuation hereof, the development of the methodology applied for developing the resource areas, is discussed in a historical perspective. Furthermore, different techniques for identifying industrial clusters are considered, including input-output approaches. Finally, the paper warns that theoretically based studies and practical policy actions do not always combine easily. Striking a balance between allowing for pragmatic policy making (with more than a single aim) on the one side, while not losing the theoretical foundation on the other, is an important task.

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Studies of Clusters as a Basis for Industrial and Technology Policy in the Danish Economy

This paper basically adopts a ‘technology gap’ approach for explaining international export specialisation. Within this broad label there has been one tradition which has applied cumulativeness in technological change as an explanation, while another tradition has emphasised the role of inter-sectoral linkages (the so-called home market effect) in this context. However,given that the sources of innovation (inducement mechanisms) differ between firms according to principal sector of activity, different variables should not be expected to be of equal importance across industrial sectors. Thus, using the Pavitt taxonomy as a starting point, the paper statistically investigates the importance of variables reflecting different inducement mechanisms, across 9 OECD countries. The paper concludes that the two types of technological activities, namely technological activities in the ‘own’ sector, and inter-sectoral linkages are both important in thc determination of national export specialisation patterns. However...

Keld Laursen

Papers

The impact of R&D offshoring on the home knowledge production of OECD investing regions

The Importance of Technology-Based Intersectoral Linkages for Market Share Dynamics.

Revealed Comparative Advantage and the Alternatives as Measures of International Specialisation

Studies of Clusters as a Basis for Industrial and Technology Policy in the Danish Economy

Do Inter-sectoral Linkages Matter for International Export Specialisation?