nep-tid New Economics Papers
on Technology and Industrial Dynamics
Issue of 2013‒11‒29
ten papers chosen by
Fulvio Castellacci
Norwegian Institute of International Affairs (NUPI)

  1. Innovation and productivity: An update By Mohnen, Pierre; Hall, Bronwyn H.
  2. Dynamic models of R&D, innovation and productivity: Panel data evidence for Dutch and French manufacturing By Raymond, Wladimir; Mairesse, Jacques; Mohnen, Pierre; Palm, Franz
  3. Plant productivity dynamics and private and public R&D spillovers: Technological, geographic and relational proximity. By Belderbos, Rene; Ikeuchi, Kenta; Fukao, Kyoji; Kim, Young Gak; Kwon, Hyeog Ug
  4. Innovation for economic performance: The case of Latin American firms By Arias Ortiz, Elena; Crespi, Gustavo; Tacsir, Ezequiel; Vargas, Fernando; Zuniga, Pluvia
  5. Innovation and survival of new firms in Chinese manufacturing, 2000-2006 By Zhang, Mingqian; Mohnen, Pierre
  6. Is money all? Financing versus knowledge and demand constraints to innovation By Pellegrino, Gabriele; Savona, Maria
  7. Microeconometric evidence of financing frictions and innovative activity - a revision By Tiwari, Amaresh K.; Mohnen, Pierre; Palm, Franz; Schim van der Loeff, Sybrand
  8. The Impact of Cooperation on R&D, Innovation andProductivity: an Analysis of Spanish Manufacturing and Services Firms By Verónica Fernández Gual; Agustí Segarra Blasco
  9. Doing R&D in a closed or open mode: Dynamics and impacts on productivity By Rosa, Julio Miguel; Mohnen, Pierre
  10. Impact of external knowledge acquisition strategies on innovation - A comparative study based on Dutch and Swiss panel data By Arvanitis, Spyros; Lokshin, Boris; Mohnen, Pierre; Wörter, Martin

  1. By: Mohnen, Pierre (UNU-MERIT, and SBE, Maastricht University); Hall, Bronwyn H. (University of California at Berkeley, NBER, UNU-MERIT, and SBE, Maastricht University.)
    Abstract: This paper reviews the existing evidence regarding the effects of technological and non-technological innovations on the productivity of firms and the existence of possible complementarities between these different forms of innovation.
    Keywords: innovation, productivity
    JEL: O30 O31 O33 O40
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013021&r=tid
  2. By: Raymond, Wladimir (STATEC Luxemburg); Mairesse, Jacques (CREST-INSEE, UNU-MERIT, Maastricht University, and NBER); Mohnen, Pierre (UNU-MERIT / MGSoG, SBE, Maastricht University, and CIRANO); Palm, Franz (SBE, Maastricht University and CESifo)
    Abstract: This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated across equations and that differ in the way innovation enters the conditional mean of labour productivity: through an observed binary indicator, an observed intensity variable or through the continuous latent variables that correspond to the observed occurrence or intensity. It estimates these models by full information maximum likelihood using two unbalanced panels of Dutch and French manufacturing firms from three waves of the Community Innovation Survey. The results provide evidence of robust unidirectional causality from innovation to productivity and of stronger persistence in productivity than in innovation.
    Keywords: R&D, innovation, productivity, panel data, dynamics, simultaneous equations
    JEL: C33 C34 C35 L60 O31 O32
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013025&r=tid
  3. By: Belderbos, Rene; Ikeuchi, Kenta; Fukao, Kyoji; Kim, Young Gak; Kwon, Hyeog Ug
    Abstract: We examine the effects of R&D spillovers on total factor productivity in a large panel of Japanese manufacturing plants matched with R&D survey data (1987-2007). We simultaneously examine the role of public (university and research institutions) and private (firm) R&D spillovers, and examine the differential effects due to technological, geographic and relational (buyer-supplier) proximity. Estimating dynamic long difference models and allowing for gradual convergence in TFP and geographic decay in spillover effects, we find positive effects of technologically proximate private R&D stocks, which decay in distance and become negligible at around 500 kilometres. In addition to knowledge spillovers from technologically proximate R&D stocks, ‘relational’ spillovers from buyer and supplier R&D stocks exert positive effects on TFP growth that are similar in magnitude. The elasticity of TFP is highest for public R&D (corrected for industrial relevance), in particular for plants operated by R&D conducting firms. We do not find evidence of geographic decay in the impact of public and relational spillovers. Over time, declining R&D spillovers appear to be responsible for a substantial part of the decline in the rate of TFP growth. The exit of proximate plants operated by R&D intensive firms plays a notable role in this process and is an important phenomenon in major industrial agglomerations such as Tokyo, Osaka, and Kanagawa.
    Keywords: R&D; spillovers; plant productivity; distance;
    Date: 2013–11
    URL: http://d.repec.org/n?u=RePEc:ner:leuven:urn:hdl:123456789/425526&r=tid
  4. By: Arias Ortiz, Elena (Education Division, Inter-American Development Bank); Crespi, Gustavo (Competitiveness and Innovation Division, Inter-American Development Bank); Tacsir, Ezequiel (UNU-MERIT / MGSoG, and Competitiveness and Innovation Division, Inter-American Development Bank); Vargas, Fernando (Competitiveness and Innovation Division, Inter-American Development Bank); Zuniga, Pluvia (UNU-MERIT / MGSoG)
    Abstract: In this paper, a wide range of innovation indicators are analysed in order to describe the innovation behaviour of manufacturing firms in LAC using the recently released Enterprise Surveys 2010. The Enterprise Surveys define innovation rates as the share of firms introducing product and process innovations. The survey also measures the proportion of firms investing in research and development (R&D) and filing for intellectual property rights (IPRs). The aim of this note is to understand the main characteristics of innovative firms and to gather new evidence with regard to the nature of the innovation process in the region. Statistics about the performance of LAC firms are provided using different types of indicators to measure firms' innovative behaviour. In particular, differences in innovation performance and effort by country, sector, and key firm characteristics, such as being a multinational or exporter, are explored. Those firms in LAC that are top R&D performers are identified, and the analysis closes with an exploration of firm characteristics that strongly correlate with the probability of being a top R&D performer in the region.
    Keywords: innovation, research and development, Latin America, enterprise surveys
    JEL: D22 O31 O33 O34
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013028&r=tid
  5. By: Zhang, Mingqian (Shanghai International Studies University); Mohnen, Pierre (UNU-MERIT / MGSoG)
    Abstract: Using a large dataset of over 100,000 Chinese firms created between 2000 and 2006, we explore whether there is a link between innovation effort (R&D) or innovation output (the share of innovative sales) and the firm's duration of survival. We estimate a complementary log-log model with time-varying explanatory variables controlling for individual heterogeneity. We find that innovative firms tend to survive longer, more so because of R&D than because of introducing new products. There seems to be an inverted-U relationship between R&D or innovation output and long-term survival, suggesting that too much R&D or product innovation can cause firms to die, perhaps because of excessive risk. Survival has a cyclical behaviour, and it varies across provinces. It also varies with ownership. State-owned firms have a higher hazard rate than privately-owned firms, which have a higher hazard rate than foreign-owned firms.
    Keywords: firm survival, complementary log-log duration models, China, innovation
    JEL: L25 O32 O38
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013057&r=tid
  6. By: Pellegrino, Gabriele (University of Barcelona, and Università Cattolica del Sacro Cuore, Piacenza and Milano); Savona, Maria (SPRU, University of Sussex,)
    Abstract: The paper adds to the scattered empirical evidence on the role of obstacles to innovation in a three-fold way. First, we correct for the usual sample selection bias by filtering out firms not interested in innovation from 'potential innovators'. We then analyse the impact of obstacles on the translation of firms' engagement in innovative activities onto actual innovative outputs. Second, we assess what mostly affects firms' rate of failure in this process, whether finance or, rather, knowledge or demand-related constraints. Third, we do so in a panel framework, which allows to account for endogeneity and firms' unobserved heterogeneity through individual effects. We find that demand- and market-related factors are as important as financing conditions in determining firms' innovation failures. This evidence puts much of the latest hype on finance in perspective and brings back into the picture traditional demand and market structure arguments of why firms fail to innovate. The empirical analysis is based on an unbalanced panel of firm data from four waves of the UK Community Innovation Survey (CIS) between 2002 and 2010 merged with the UK Business Structure Database.
    Keywords: Barriers to innovation, Innovative firms, Potential Innovators, Failed Innovators, Panel data
    JEL: C23 O31 O32 O33
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013029&r=tid
  7. By: Tiwari, Amaresh K. (University of Liege); Mohnen, Pierre (UNU-MERIT / MGSoG, SBE, Maastricht University, and CIRANO); Palm, Franz (SBE, Maastricht University and CESifo); Schim van der Loeff, Sybrand (SBE, Maastricht University)
    Abstract: Using Dutch data we empirically investigate how financing and innovation vary across firm characteristics. We find that when firms face financial constraints, debt financing and innovation choices are not independent of firm characteristics, and R&D slows down. In the absence of financial constraints, however, as they raise debt, firms become less inclined to innovate and the change in the propensity to innovate no longer varies with firm characteristics. We find that financing constraints faced, propensity to innovate, and R&D intensity are not uniform across firm characteristics. A new 'Control Function' estimator to account for heterogeneity and endogeneity has been developed.
    Keywords: Innovation, R&D, Capital Structure, Financial Constraints, Firm Characteristics, Correlated Random Effects, Control Function, Expected a Posteriori
    JEL: G30 O30 C30
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013027&r=tid
  8. By: Verónica Fernández Gual (CREIP, XREAP, Industry and Territory Research Group, Reus, Spain); Agustí Segarra Blasco (CREIP, XREAP, Industry and Territory Research Group, Reus, Spain)
    Abstract: This paper investigates relationships between cooperation, R&D, innovation and productivity in Spanish firms. It uses a large sample of firm-level micro-data and applies an extended structural model that aims to explain the effects of cooperation on R&D investment, of R&D investment on output innovation, and of innovation on firms’ productivity levels. It also analyses the determinants of R&D cooperation. Firms’ technology level is taken into account in order to analyse the differences between high-tech and low-tech firms, both in the industrial and service sectors. The database used was the Technological Innovation Panel (PITEC) for the period 2004-2010. Empirical results show that firms which cooperate in innovative activities are more likely to invest in R&D in subsequent years. As expected, R&D investment has a positive impact on the probability of generating an innovation, in terms of both product and process, for manufacturing firms. Finally, innovation output has a positive impact on firms’ productivity, being greater in process innovations.
    Keywords: innovation sources; productivity; R&D Cooperation
    Date: 2013–11
    URL: http://d.repec.org/n?u=RePEc:xrp:wpaper:xreap2013-08&r=tid
  9. By: Rosa, Julio Miguel (Industry Canada, Economic Research and Policy Analysis Branch); Mohnen, Pierre (UNU-MERIT / MGSoG, and CIRANO)
    Abstract: On the one hand, firms prefer to perform R&D in an open mode (letting R&D be performed extramurally or even selling their R&D services) to benefit from knowledge spillovers and complementarities between internal and external R&D. On the other hand, they may also like to perform R&D in a closed mode (funding and executing their R&D intramurally) to minimize outgoing externalities. We examine the dynamic process by which firms change the way of doing R&D and how these strategic choices of doing R&D affect their productivity growth. This study is based on the Statistics Canada Research and Development in Canadian Industry survey (RDCI), which collects data on R&D performed in the business sector in Canada. The paper is based on data for the period 1997 to 2006. The panel dimension of the data allows to control for unobserved characteristics of R&D performers by estimating a multinomial Logit model with unobserved heterogeneities using maximum simulated likelihood (MSL) method.
    Keywords: R&D, State Dependence, Dynamic Multinomial Logit, Panel-data, Maximum Simulated Likelihood, Open Innovation
    JEL: C35 L23
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013060&r=tid
  10. By: Arvanitis, Spyros (KOF, ETH Zürich); Lokshin, Boris (School of Business and Economics, Maastricht University); Mohnen, Pierre (UNU-MERIT/MGSoG); Wörter, Martin (KOF, ETH Zürich)
    Abstract: There is growing evidence that firms increasingly adopt open innovation practices. In this paper we investigate the impact of two such external knowledge acquisition strategies, 'buy' and 'cooperate', on firm's product innovation performance. Taking a direct (productivity) approach, we test for complementarity effects in the simultaneous use of the two strategies, and in the intensity of their use. Our results based on large panels of Dutch and Swiss innovating firms, suggest that while both 'buy' and 'cooperate' have a positive effect on innovation, there is little statistical evidence that using them simultaneously leads to higher innovation performance. Results from the Dutch sample provide some indication, that there are positive economies of scope in doing external and cooperative R&D simultaneously conditional on doing internal R&D.
    Keywords: Innovation, Open innovation, R&D collaboration, make, buy strategies
    JEL: O31 O32
    Date: 2013
    URL: http://d.repec.org/n?u=RePEc:unm:unumer:2013003&r=tid

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