Is newest always best? Firm-level evidence to challenge a focus on high-capability technological (product or process) innovation

This paper sets out to address a gap in the empirical literature on the importance of ‘low-capability’ innovation for firms. The study is framed around discussion of the conceptual bias that remains in policy and academic literature towards a narrow subset of technological (product or process) innovation labelled ‘high-capability’ innovation in this paper. The paper argues that this bias influences the public and business community's understanding of the term ‘innovation’ and has implications for innovation measurement, research, policy and strategy. The study uses data from an economy-wide, regional innovation survey based on the Oslo manual, and includes 648 innovative firms covering all industry sectors. The paper combines elements of both subject and object approaches to innovation measurement, using data from an open-ended survey question to explore the alignment between what firms report as their ‘most important innovation’ (MII) and firm capabilities for introducing ‘high-capability’ technological innovation. Results show that a substantial share of firms report an MII that is a ‘low-capability’ innovation, including those firms with high R&D intensity, those with novel technological innovation, and firms in more innovative sectors of manufacturing and knowledge intensive business services. The paper discusses the implications of this result for future innovation measurement and research.     

Technology and jobs

The article investigates the employment effects of technology. A set of models is developed where changes in industry-level employment are explained by changes in demand, wages, by the diffusion of innovation and its market impact. The empirical test uses data from two EU innovation surveys – CIS (Community Innovation Survey) 2 (1994–1996) and CIS 3 (1998–2000) – on 10 industrial sectors and 10 European countries. The results of the models show the importance to discriminate between different strategies for innovation, between high- and low-innovation industries, and between short-term labour market effects and the long-term impact of structural change.     

Strategic networks and new product performance: the mediating role of ambidextrous innovation

In this study we examine the relationship between strategic networks and new product performance from the perspective of ambidextrous innovation (i.e. combining exploratory innovation and exploitative innovation) using a sample of 323 manufacturing firms in the transitional economy of China. Our empirical analyses present several interesting findings: (a) strategic networks are positively related to firms’ new product performance; (b) ambidextrous innovation has a positive effect on firms’ new product performance – that is, the combination of exploratory innovation and exploitative innovation positively affects the firm's new product performance, while the lack of balance between exploratory innovation and exploitative innovation negatively affects the firm's new product performance; and (c) ambidextrous innovation mediates the relationship between strategic networks and new product performance. Our findings provide scholars and managers with a better understanding of the key role played by the simultaneous adoption of exploratory and exploitative innovation in the relationship between strategic networks and new product performance.     

Export,R&D and new products. a model and a test on European industries

In this article we extend the model developed by Bogliacino and Pianta (Industrial and Corporate Change 22 649, 2013, b) on the link between R&D, innovation and economic performance, considering the impact of innovation on export success. We develop a simultaneous three equation model in order to investigate the existence of a ‘virtuous circle’ between industries’ R&D, share of product innovators and export market shares. We investigate empirically – at the industry level – three key relationships affecting the dynamics of innovation and export performance: first, the capacity of firms to translate their R&D efforts in new products; second, the role of innovation as a determinant of export market shares; third, the export success as a driver of new R&D efforts. The model is tested for 38 manufacturing and service sectors of six European countries over three time periods, from 1995 to 2010. The model effectively accounts for the dynamics of R&D efforts, innovation and international performance of European industries. Moreover, important differences across countries emerge when we split our sample into a Northern group – Germany, the Netherlands and the United Kingdom – and a Southern group – France, Italy and Spain. We find that the ‘virtuous circle’ between innovation and competitiveness holds for Northern economies only, while Southern industries fail to translate innovation efforts into export success.     

US PATENT CITATIONS DATA AND INDUSTRIAL KNOWLEDGE SPILLOVERS

The aim of this paper is to empirically evaluate the US interindustry knowledge spillover using the NBER patents data file (1963–1999). Reputing the patent backward citations as a good proxy of the patent's knowledge spillover, we proceed by building a time series to each US manufacturing industry patent citations and their lags. Then, we generate the time series of the external and the internal knowledge flow indices, showing that traditional sectors are more technology-dependent from the others than the new one. Here, in the spirit of Pavitt [Pavitt, Research Policy 13, 343–73, 1984]. We derive a new taxonomy of innovation focusing on the ideas instead of the goods production in order to obtain the innovation linkage and trajectories. Once we determined that each sector's most cited patents are typically belong to the ‘new’ sectors, we evaluate the high- and low-tech sectors innovation effect on the whole economy innovation process. Confirming that the high-tech sectors, and its R&D expenditures, are the most important, we conclude that it is the giant's shoulders, substance of the whole economy.     

The Policy Ramifications of Capital as Ideas

In 1987, Baldwin Ranson wrote about capital and technology in economic growth. Ranson argued that capital should be defined as intangible ideas and technology that are not subject to supply and demand constraints. Thorstein Veblen (1908, 518) described his conception of capital as being “found in possession of something in the way of a body of technological knowledge, – knowledge serviceable and requisite to the quest of a livelihood.” John R. Commons (1934, 662) wrote in a similar vein that “capital is not an accumulation of past products of stored-up labor – these are transitory and aimless – capital is a going plant of industrial knowledge and experience.” More recently, Cesar Hidalgo (2015) and Paul Romer (1990, 1994) have also written about the idea of capital as ideas and the key to economic growth. Hidalgo (2015, 179) states that “the growth of information in the economy, which is ultimately the essence of economic growth, results from the coevolution of our species’ collective computation capacity.” The first section of this article explores the linkages between the older generation and more recent thinkers on the intersection of capital as technology and ideas. The second section explores the policy ramifications of this conceptualization of capital. Romer argues that temporary monopolies are needed to encourage investment in innovation. According to both Veblen and Ranson, these rules do not allow for the full social value of ideas to be utilized. The second part of this article also explores these differences using A. Allan Schmid’s situation-structure-performance (SSP) model.     

How does knowledge network affect a firm’s explorative innovation? The contingent role of R&D collaborations

Innovation is a process of knowledge recombination [Fleming, L. 2001. “Recombinant Uncertainty in Technological Search.” Management Science 47: 119 p]. Extant literature highlights the importance of a firm’s knowledge base for innovation, while little is known about the structure of a firm’s knowledge base and how it affects the firm’s explorative innovation. Based upon the perspective of network analysis, we portray a firm’s knowledge base as an intra-organisational knowledge network and examine the effects of two structural features of the network – density and centralisation – on the firms’ exploratory innovation. Using a manual collected dataset of 738 Chinese automobile manufacturers, we find that a firm explores fewer new knowledge elements when the firm holds a dense knowledge network or a centralised knowledge network. More importantly, with the increase of a firm’s R&D collaborations with external actors, the negative effect of density is mitigated while the negative effect of centralisation is reinforced. Both theoretical and practical implications are discussed.     

Technology,Growth and Employment

The relationship between technology, productivity and employment is a complex one. Increased productivity can lead not just to increased market share, but through falling relative prices can help expand markets, and through product innovation can develop new markets. On the other hand, if demand and hence output does not expand in line with productivity, then an inverse relation between productivity and employment will result. The European Union seeks to improve living standards in Europe by boosting productivity, competitiveness and employment together. How, though, is this to be achieved? This paper looks at the effects on productivity of different forms of investment--in physical capital, in Research & Development, and in human capital. The paper also distinguishes between the high-tech and low-tech sectors. There does appear to be scope for boosting both productivity and employment, particularly in the high tech sectors. But to do so will require increased investment across all three categories--in machinery, in innovation and in people.     

Modelling Labour Market Adjustment to Trade Liberalisation in an Industrialising Economy

This paper investigates labour market responses to trade liberalisation in an industrialising country. Short and long run responses of employment and wages are examined using a specific factor trade model, which underpins the empirical work. Employment and wage equations are estimated using dynamic panel techniques for importable and exportable sectors in Mauritius and for a period covering both the pre- and post-liberalisation regimes. The empirical testing finds some support for the theoretical predictions of differential responses between sectors. Incre ases in female participation, however, appear to have dampened the adjustment burdens of liberalisation on importables     

The legacy and promise of Vannevar Bush: rethinking the model of innovation and the role of public policy

The linear model of innovation argues that innovation takes place in a unidirectional sequence, with basic research directly diffusing in marketable product or process innovations. This perspective has served society well in past decades. However, recent productivity slowdowns in developed economies and the failure of innovation policies to continue to deliver desired results have called this perspective into question. Scholars explain these slowdowns by the oversimplification of the linear model which fails to consider the complexities associated with innovation processes. Although it is generally believed that Vannevar Bush’s report Science – The Endless Frontier – was based on his belief in a linear model of innovation and the notion that basic research is the ultimate source of all innovation, an examination of Bush’s writings and his life reveals that he believed in a more sophisticated model in which basic and applied research cross-fertilize each other and in which government’s job is not so much to stimulate basic research as it is to facilitate interactions between basic and applied research for the benefit of both and the prosperity of society. This paper explicates Bush’s model of the research and innovation process, explores the implications of that model, and derives policy recommendations.     

Effect of proximity on recombination innovation in R&D collaboration: an empirical analysis

Recombination innovation is a process of creatively combining different knowledge domains in an invention. Recombination innovation in R&D collaboration – joint recombination process, which is integration of the organisation’s internal knowledge with the partner’s new knowledge, serves as the stepping stone of the knowledge search in the technological space. This paper tries to illuminate how different dimensions of proximity of the collaborating partners affect the probability of the collaborative innovation to be recombination innovation. Our result shows that technological proximity has a negative effect on joint recombination innovation. Geographical proximity has an inverted U-shaped effect on joint recombination innovation. The positive effect of organisational proximity on joint recombination innovation is not supported.     

Trade expansion and employment generation: how mercantilist does China have to be?

We conduct an input–output analysis of China’s employment changes due to changes in trade structure on a sectoral level. We find that between 2002 and 2007 China generated about 71 million jobs due to trade expansion. We also estimate the additional amount of trade that would be needed if China were using its trade surplus as the main tool to absorb its excess labour. Given the magnitude of this estimated amount, we conclude that this ‘mercantilist’ approach to excess labour absorption is not feasible. Finally, using Spearman rank correlation analysis, we find that the ranking of China’s sectors’ employment generation capacities is inversely related to the ranking of these sectors’ trade performances. This suggests that the ‘mercantilist’ approach to excess labour absorption is not only infeasible but also inefficient. We end the paper by suggesting a more balanced growth path for China.     

The Impact of Innovation on Employment in Services: Evidence from Italy

This article investigates the employment impact of innovation in services, using the data gathered through the 1993-95 Italian innovation survey. The empirical evidence shows that the impact of innovation on employment varies greatly across industries and according to the level of qualification of the labour force. Among small firms and in less than a half of the service sectors considered, the employment impact of innovation is positive, particularly in industries that have a strong scientific and technological base. A negative impact of innovation on employment is, on the contrary, found among large firms, capital-intensive industries and in all financial-related sectors (banking, insurance and other financial services). In these industries the labour-saving effect of innovation seems to be linked to the widespread use of Information and Communication Technologies (ICTs) which displace the least qualified employees. In the case of Italy, an overall negative impact of innovation on employment is found. It is argued that this result is affected by the Italian economy's specialisation in the most traditional service industries.     

Patterns of innovation and intra-industry heterogeneity in Turkey

This study investigates the patterns of innovation in Turkey and its primary aim is to examine the intra-industry heterogeneity in innovative activities. For this purpose double-level factor analysis is performed and the resulting factor scores are used in the subsequent cluster analyses. Four distinct innovation patterns, which may be interpreted as ingredients of different technological regimes, are identified. A taxonomy of innovative firms is also constructed by grouping firms according to their innovation characteristics and, to the authors’ knowledge, this is the first empirical classification study in Turkey. These results indicate that industries differ in terms of innovative activities. However, industries are not dominated by a single technological regime. On the contrary, five technological regimes were observed in almost all sectors. Building upon these facts, it can be speculated that sector-specific conditions determine the extent of intra-industry heterogeneity.     

The Global Economic Crisis and Migrant Workers: The Case of the Construction Sector in Europe

This paper examines the employment response of native and migrant workers over the business cycle in the construction sectors of European countries between 2008 and 2011. Using a dynamic model (Generalized Method of Moments), which accounts for ‘intergroup substitutability’, we observe that differences in the cyclical employment patterns of migrants and natives in the construction sector may be due to a potential selection of EU and non-EU migrants who are disproportionately prone to cyclical fluctuations in temporary jobs or a higher turnover rate.     

Does trade stimulate product quality upgrading?

This paper investigates whether increased import competition leads firms to engage in incremental innovation reflected in product quality upgrading using Chilean manufacturing firm‐product data and measuring product quality with unit values (prices). We identify causal effects of import competition using an effective trade barrier measure – transport costs – as instruments for import penetration ratios across industries. Transport costs have a negative and significant effect on product quality. The evidence suggests that estimated unit value increases capture product quality upgrading, imports’ competition effects drive quality upgrading, and benefits depend on firms’ industrial specialization. Easier access to intermediate inputs also fosters quality upgrading.     

Knowledge integration methods,product innovation and high-tech new venture performance in China

Combining insights from knowledge-based theory (KBT) and the product innovation literature, this paper explores whether and how knowledge integration methods contribute to high-tech new venture performance in China’s emerging economy. Using data from 295 entrepreneurs and top executives in Chinese high-tech new ventures, we find that both the coordinated integration of knowledge and systemic integration of knowledge have positive effects on high-tech new venture performance and product innovation. Competitive intensity moderates the impact of knowledge integration methods on product innovation. Moreover, product innovation is a mediator in the relationship between knowledge integration methods and high-tech new venture performance. Our findings have important theoretical and practical implications.     

Gender Segregation and Income Differences in Nicaragua

Despite having higher average education levels, Nicaraguan women still earn much less than men. Furthermore, the country has one of the highest levels of occupational gender segregation in Latin America. This paper aims to explain the gender income gap in Nicaragua, taking into account individual characteristics, engagement in specific occupations and sectors, and geographical location. Using a multilevel framework, the study finds that while a considerable part of the income gap can be explained by women’s employment in occupations and sectors with low remuneration, another substantial part of this gap is attributable to the prevalence of patriarchal gender norms – and thus cannot be explained by human capital factors. These results show that understanding labor market segregation is vital for comprehending the perseverance of the gender income gap, and they further imply that women’s progress in breaching the gender stereotypes in Nicaragua is still limited.     

Innovation and job creation in a dual labor market: evidence from Spain

This paper studies the effect of product and process innovations on job creation in the Spanish manufacturing sector over the period 1991–2005. We use a change in the employment protection legislation (EPL) in 1997 to study the effect of innovations on permanent and temporary workers before and after that change. We find that (i) product and process innovation created jobs, (ii) before the change in the EPL in 1997 innovations did not affect the number of permanent workers and all the increase in employment was explained by the increase in the number of temporary workers, (iii) after the change in the EPL, innovations increased both the number of temporary and permanent employees, and (iv) while the increase in temporary workers takes place after one year of the innovations, the increase in permanent workers occurs mainly two years after the innovations.     

科技创新对就业的影响效应——基于总量和结构的视角

在文献综述和理论分析的基础上,构建了自回归分布滞后模型,并采用1995—2010年相关数据,通过单位根检验、协整检验、Granger因果关系检验、脉冲响应分析和方差分解分析,实证检验了科技创新对我国就业总量和就业结构的影响。结果显示:我国科技创新总体上并未排斥就业,对就业量的总体效应为溢出效应,同时优化了就业结构。