Do innovative firms rely on big secrets? An analysis of IP protection strategies with the CIS 4 survey

Innovative companies have a variety of instruments at their disposal to protect themselves from imitators, and this paper investigates the determinants of the protection choices with a focus on highly innovative respondents. While the patent system's aim is that firms apply to patent their innovations, especially the most important ones, theoretical results in the existing literature suggest that large innovations will rather be protected by secrecy because of the legal uncertainty surrounding intellectual property rights. In line with the predictions of their model, our probit analysis conducted using data from the Community Innovation Survey 4 shows that, in the intermediate goods industry, small innovations are patented while secrecy is used to protect large ones. For very innovative small firms, the share of innovative sales in total sales has a negative effect on patent application. These findings support the view that many innovative firms regard patent filing as no more secure than secrecy, which therefore limits the diffusion of knowledge.     

Knowledge flows and innovation capability: The patenting trajectory of Taiwan's thin film transistor-liquid crystal display industry

This paper uses USPTO's patent data to present and analyse knowledge flows and innovation capability within and across Taiwan's top five major players in the thin film transistor-liquid crystal display (TFT-LCD) industry. Based on the empirical results, the study shows that latecomers, such as Taiwan, to the TFT-LCD industry have internalised external knowledge from the US and particularly from Japan on specific core technologies, while the knowledge relationship between source and recipient is un-intimated. One important finding of this study is that Taiwan's top five TFT-LCD manufacturers possess different knowledge sources and technology focuses. This specialised capability is most likely the cause for their positions in the market (i.e. market share). Each player has unique patenting protocol, in which the coded knowledge (i.e. patenting rate) does not act as a major indicator of innovation performance in Taiwan's TFT-LCD industry. Remarkably, the public research institute does not show its essential impact on TFT-LCD industry as it once was in most East Asian latecomer literature. This study thus provides some useful managerial implications for latecomer firms to facilitate knowledge internalisation and build endogenous innovative capabilities.     

Agglomeration externalities: Marshall versus Jacobs

The literature remains inconclusive as to whether Marshallian specialization or Jacobian diversification externalities favor regional innovativeness. The specialization thesis asserts that regions with production structures specialized towards a particular industry tend to be more innovative in that particular industry, as it allows for knowledge to spill over between similar firms. The diversification thesis argues that knowledge spills over between different industries, causing diversified production structures to be more innovative. A closely related debate evolves around local competitiveness hypotheses. Using an original database of innovation counts, both these issues are addressed for the Dutch context. The results show that the Marshallian specialization thesis holds, though more pronounced for R&D intensive and small firms. Fierce local competition within an industry negatively affects innovativeness in that particular industry.JEL Classification: O18, O31, R10Gerben van der Panne: The author wishes to thank Fia Wunderink, Wilfred Dolfsma and Alfred Kleinknecht for helpful comments on an earlier version of this paper.     

Local variety and innovation performance in the EU textile and clothing industry

ABSTRACT

A large body of the literature showed that related variety at local level is more relevant than unrelated variety for explaining the innovation performance of firms. Knowledge relatedness is usually measured by considering activities within the same industry (i.e. the same two-digit code) while activities in different industries are associated with unrelated variety. This approach is challenged by the increasing relevance of transversal technologies, i.e. technologies that are developed and applied in rather different sectors. As a result, between industry variety (i.e. unrelated variety) is expected to be more important than within industry variety (i.e. related variety). We test this hypothesis by examining the innovation activities of firms in the textile and clothing industry. The innovation model of these firms is characterized by low investment in R&D, little capabilities for autonomous innovation and dependence from knowledge suppliers belonging to different sectors. The empirical analysis, carried out over the 1996–2014 period at the EU NUTS2 level, shows that between industry variety has a greater impact than within industry variety for the innovative performance of firms.     

创新网络生成因素的重要性识别研究——以上海医药产业为例

本文以上海医药产业为研究对象,基于随机森林模型检验了诸多因素对于创新网络生成和拓扑的影响,并且对这些生成因素的重要性进行了识别研究.研究发现:(1)创新网络个体属性为大学或者科研机构对于网络生成的影响最为重要,表明公共研发机构的知识外溢是网络生成重要动力;(2)创新网络个体的节点度有助于进一步的创新合作,证明了"合作的...     

The effect of science and technology parks on a firm’s performance: a dynamic approach over time

We argue that the benefits provided by locations inside science and technology parks evolve over time. Firms inside parks can improve performance due to certain advantages related to knowledge spillovers and shared resources that can be particularly useful in earlier stages of the industry life cycle. In these industries, local knowledge sharing is particularly useful because no standards are clearly established, as we have confirmed in a sample of 12,800 firms from the PITEC database, located either on- or off-park. We also find that young firms can benefit more from the park than more established businesses in terms of both business growth and innovative capacity. Although older firms have greater experience and investments that would increase their capacity to absorb external knowledge, their associated rigidities prevent them from incorporating changes into their structures.     

The financing of small innovative firms: the Italian case

Small firms encounter difficulties in collecting external finance due to greater information problems. For small innovative firms, whose activity is more difficult to evaluate, the cost of external finance could be even higher. This paper aims to shed light on special features in financial structures of small innovative firms, compared with firms of similar size that do not innovate. The evidence shows that small innovators rely less on financial debts and more on internal financial resources; no important differences appear for large firms. This is consistent with the view that information problems mainly affect small firms. Another finding is that small innovative firms show a lower investment sensitivity to cash flow than small non-innovative firms: it is likely that the high incidence of internal financial resources allows them more flexibility in deciding their investments. No difference in investment sensitivity to cash flow, by innovative attitude, is found for large firms.     

Sectoral Patterns of Interactive Learning: An Empirical Exploration of a Case in a Dutch Region

This paper pursues the development of a theoretical framework that explains interactive learning between innovator firms and external actors in both the knowledge infrastructure and the production chain. The research question is: What kinds of factors explain the interactive learning of innovator firms with distinct external actors? Our theoretical framework extends the resource-based perspective, which is predominant in network theory, with both an activity-based and a structural account of interactive learning. We contend basically that higher technological dynamics induce more complex innovative activities. But, more complex innovative activities increase the probability of internal resource deficits/shortages in the innovator firms. The lower the alignment of the innovative activities with the quality of the internal resource base, the higher the resource deficits/shortages and the more likely the search for complementary resources externally, which increases the likeliness of external relationships. In order to test the generality of our theoretical claims we analyse our models in four sectors with distinct technological dynamics as distinguished by Pavitt. For each sector we explore five models of the level of interactive learning of innovator firms with: (1) the public knowledge infrastructure (difficult to access, demands high internal competencies to utilize scientific knowledge), (2) the production chain (easy to access), (3) their users, (4) their suppliers, (5) their competitors. These analyses allow for a comparison between interactive learning with different external actors and give deeper insights into the differentiated interaction patterns involving innovation. Our findings show that patterns of interactive learning between sectors differ. Some are more resource based and others are more affected by the complexity of innovative activities. Particularly the patterns of interactive learning between, on the one hand, firms and the knowledge infrastructure, and on the other hand of firms with the production chain show important differences.     

创新环境激励与企业成长:基于中部创新型企业的实证

从国内外科技型企业成长与激励的理论综述入手,通过对我国中部地区128家创新型企业的问卷调查,对创新型企业成长的外部创新环境激励模型进行了假设验证,揭示了科技项目引导、产业技术政策、科技金融支持、科技奖励与知识产权保护,以及区域创新体系建设5个方面的创新环境因素对企业成长的激励效应。研究发现,政府科技项目的合理导向、企业技术战略联盟以及功能完善的技术市场是促进创新型企业快速成长的最重要外部因素。     

INNOVATION ACTIVITIES EXPLAINED BY FIRM ATTRIBUTES AND LOCATION

In this paper, innovation activities of a firm are observed as its R&D spending and participation in three categories of innovation systems. The various factors that can influence a firm's innovation efforts are divided into, (i) firm location reflecting the regional milieu and (ii) firm attributes such as corporate structure, nature of the knowledge production, type of industry and a set of specific firm characteristics. The study is based on information about 2094 individual firms, which may be non-affiliated or belong to a group (multi-firm enterprise). The empirical analysis applies a novel data set to examine the influence of location versus a vector of firm attributes. Among innovative firms, the location of a firm does not influence neither the R&D intensity nor the frequency of interaction in horizontal and vertical innovation systems, when controlling the skill composition, physical capital intensity, industry, firm size and market extension. The paper contributes to the literature by observing that innovative firms have similar characteristics irrespective of where they are located, although the share of innovative firms differs between regions.     

Measuring and Explaining Innovative Capability: Evidence from Southeast Asia

What causes firm‐level product innovation in developing economies? This paper answers this question by emphasizing the role of process improvements that are influential in product innovation. We construct a firm‐level innovative capability score using novel, broad‐based, but detailed data on various process improvement practices obtained from firms in Southeast Asia. We then investigate the factors that may affect innovative capability. We also estimate the effect of the innovative capability score on product innovation controlling for research and development intensity and other firm characteristics. Our empirical investigation identifies a chief executive officer (CEO)'s past experience at a foreign or large firm, and buyer pressure to adopt international standards as key determinants of innovative capability. Novel and unique findings from our examination include: (i) the impact of a CEO's past experience at a foreign or large firm on the innovative capability is larger for local enterprises and small‐ and medium‐sized enterprises; (ii) the impact of share of foreign workers in the upper managerial levels only appears to be significant in foreign firms and larger firms; and (iii) buyer pressure is a more likely contributor to innovative capability compared with capital tie‐ups with multinational enterprises or joint venture buyers that capture vertical technology transfers. Finally, our empirical results show that a firm in Southeast Asia is more likely to achieve product innovation if the firm has had a higher innovative capability.     

Sectoral Patterns of Interactive Learning: An Empirical Exploration of a Case in a Dutch Region

This paper pursues the development of a theoretical framework that explains interactive learning between innovator firms and external actors in both the knowledge infrastructure and the production chain. The research question is: What kinds of factors explain the interactive learning of innovator firms with distinct external actors? Our theoretical framework extends the resource-based perspective, which is predominant in network theory, with both an activity-based and a structural account of interactive learning. We contend basically that higher technological dynamics induce more complex innovative activities. But, more complex innovative activities increase the probability of internal resource deficits/shortages in the innovator firms. The lower the alignment of the innovative activities with the quality of the internal resource base, the higher the resource deficits/shortages and the more likely the search for complementary resources externally, which increases the likeliness of external relationships. In order to test the generality of our theoretical claims we analyse our models in four sectors with distinct technological dynamics as distinguished by Pavitt. For each sector we explore five models of the level of interactive learning of innovator firms with: (1) the public knowledge infrastructure (difficult to access, demands high internal competencies to utilize scientific knowledge), (2) the production chain (easy to access), (3) their users, (4) their suppliers, (5) their competitors. These analyses allow for a comparison between interactive learning with different external actors and give deeper insights into the differentiated interaction patterns involving innovation. Our findings show that patterns of interactive learning between sectors differ. Some are more resource based and others are more affected by the complexity of innovative activities. Particularly the patterns of interactive learning between, on the one hand, firms and the knowledge infrastructure, and on the other hand of firms with the production chain show important differences.     

To innovate or to transfer?

FDI has been considered by many development economists as an important channel for transfer of technology to developing countries. It is suggested that modern, advanced technologies introduced by multinational firms can diffuse to domestic firms through spillovers. In this paper, we study innovation and technology transfer activities of domestic and foreign firms in Turkish manufacturing industries, and the impact of horizontal, vertical and labor spillovers on these activities. Our analysis shows that foreign firms are more innovative than their domestic counterparts, and transfer technology from abroad (mostly from their parent companies). Horizontal spillovers from foreign firms seem to be insignificant. The effects of foreign firms on technological activities of other firms in vertically related industries are ambiguous. High-tech suppliers tend to have a high rate of innovation when the share of foreign users is high, but the opposite is true for users: high-tech users supplied mainly by foreign firms tend to have a lower rate of innovation. Labor turnover is found to be the main channel of spillovers. Our findings reiterate the importance of tacitness of knowledge, and confirm that technology cannot easily be transferred through passive mechanisms.     

Employment And Mobility Of Workers In Industries With Different Intensity Of Innovation: Evidence On Italy From A Panel Of Workers And Firms

In this paper a panel of workers and firms is used to investigate employment composition and dynamics in industries which differ by innovation intensity. To define the latter industry-wide statistics were used (for a subset of 2,800 firms, individual data on R&D expenditures and investments in innovative processes were available from a survey on manufacturing). Firms and workers are observed over the period 1985–1991. The paper document an high rate of labour turnover. Annual separation rates are high in all size-classes, but they decline from 50% in small firms (less than 20 employees) to 13% in large ones (with more than 1,000 employees). Separations are inversely related to an industry's innovative intensity (from 18% in the highly innovative industries to 31% in the traditional industries). A logit model, which controlled for the characteristics of workers and firms, showed that the probability of separation is higher among manual and young workers and decreases monotonically with the firm size. The probability of separation declines as job tenure and, perhaps more importantly, the individual's wage increases. After controlling for these factors, the evidence suggests that the highest probability of separation is in traditional industries, the lowest is in the more innovative industries. The result is strengthened when firm-level data on R&D and other innovative expenditures are used. Other things being equal, firms that invest in R&D have a more stable labour force, and firms that invest in non-innovative processes have a less stable labour force. We therefore find empirical evidence to support the hypothesis that more innovative firms cultivate more durable employer-employee relationships. The fraction of job-to-job moves (with no intervening period of unemployment) on total separations qualifies the turnover of workers. Controlling for firm size, the percentage of job-to-job moves increases fairly regularly with worker's skills and with the industry's innovative intensity. Thus the innovative intensity of he industry appears to have a positive effect on the share of job-to-job moves, while there is some evidence that it lowers the chances of separation. This result may be linked to the skills and specialisations of the workforce; it is certainly related to the higher demand for labour in the High Tech Sectors (where employment is growing) relative to the less innovative sectors.     

The better you are the stronger it makes you: Evidence on the asymmetric impact of liberalization

This paper shows how trade liberalization can have an asymmetric effect on heterogeneous firms. It develops a neo-Schumpeterian growth model predicting that the impact of liberalization on economic performance is positive “on average”, but more advanced firms benefit more. These predictions are tested using Mexican plant-level data confirming that, under NAFTA, the liberalization spurred productivity growth on average. However, the empirical analysis goes beyond estimating the average effect of liberalization and shows that more advanced firms benefited disproportionately more from the liberalization. Focusing on the mechanisms explaining these results, the paper shows that the results are not just driven by an increase in input usage and investments, but rather by innovative and managerial efforts as they are significantly stronger in those sectors where the scope for innovative activities is larger.     

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.     

Firm selection and industry evolution: the post-entry performance of new firms

A dynamic framework based on the process of firm selection and industry evolution is used to analyse the post-entry performance of new firms. In particular, it is hypothesized that, based on the stylized fact that virtually all new firms start at a very small scale of output, firm growth and survival are shaped by the need to attain an efficient level of output. The post-entry performance of more than 11,000 U.S. manufacturing firms established in 1976 is tracked throughout the subsequent tenyear period. Firm growth is found to be negatively influenced by firm size but positively related to the extent of scale economies, capital intensity, innovative activity, and market growth. By contrast, the likelihood of survival is identified as being positively influenced by firm size, market growth, and capital intensity, but negatively affected by the degree of scale economies in the industry. When viewed through the dynamic framework of firm selection and industry evolution, the empirical results shed considerable light on several paradoxes in the industrial organization literature, such as the continued persistence over time of an asymmetrical firm-size distribution consisting predominantely of suboptimal scale firms, and the failure of capital intensity and scale economies to substantially deter the entry and start-up of new firms.     

Embedding environmental innovation in local production systems: SME strategies,networking and industrial relations: evidence on innovation drivers in industrial districts

Technological innovation is a key factor for achieving better environmental performances. Its role is even more relevant in local productions system, where innovation density, knowledge spillovers and externalities are concentrated in a circumscribed territory. The paper exploits new data for a sample of manufacturing firms in Northern Italy. New evidence is provided by testing a set of hypotheses, concerning primarily the role of environmental‐devoted R&D, networking activities, quality/nature of industrial relations. The role played by environmental policy pressure, structural firm features and past firm performances is also investigated to account for more exogenous forces. We show that structural characteristics of the firm appear to matter less than R&D, induced policy costs and innovative‐oriented industrial relations. Environmental auditing schemes also show some relevant correlation to innovation adoptions. R&D efforts appear to be associated to networking activities, which substitute for size‐related economies of scale. Overall, endogenous factors driven by firm strategy or local idiosyncratic features matter more than exogenous and structural firm factors.     

The Determinants of Firm’s Growth in the Telecommunication Services Industry: Empirical Evidence from India

The growth and evolution of the industry has an important bearing on the economic development of a country. The extant literature on firm growth provides valuable insights into firm behavior and factors influencing the evolution of the industry over time. The topic becomes even more relevant in the context of the telecommunication industry because of its positive impact on economic growth and productivity, which has been well documented in both the developed and developing country context. Based on the firm-growth literature, this study analyzes the factors influencing the growth of the Indian telecommunication industry using an unbalanced panel of 204 firms across two decades from 2000 to 2020. Dynamic Panel estimation technique (System GMM) is used to take care of endogeneity issues caused by the dynamic nature of firm growth models. Results indicate that the growth of firms in the Indian telecom services industry is explained by systematic factors like size, age, profitability, financial leverage, and trade orientation. The study finds that the larger firms grow at a decreasing rate compared to small firms. The firm's age negatively impacts the growth rate of firms, i.e., younger firms have a faster growth rate than the older ones supporting the case of convergence of firm growth in the Indian telecom services sector. Factors such as lagged R&D intensity, financial leverage, and profitability negatively impact the firms’ growth rate. Export intensity is found to have a negative and significant impact on the growth rate of the firms. The findings have important policy implications in the context of the growth of the telecommunication industry in India, which has witnessed intense competition, steep decline in profitability, and high debt structure over a period of time.

     

知识相关性对创新绩效影响的实证研究

随着“创新、协调、绿色、开放、共享”发展理念的提出,中国经济发展进入新阶段,越来越多的企业希望通过技术并购方式获取核心技术和知识能力。基于中国高技术产业上市公司2010-2016年技术并购数据,利用负二项回归模型,探讨并购双方知识相关性与企业创新绩效间关系。研究结果表明,在技术并购情境下：知识相似性与企业创新绩效间存在倒U型关系;知识互补性与企业创新绩效间同样存在倒U型关系;而且二者存在协同作用,知识相似性水平提升能够放大知识互补性对创新绩效的影响作用。