The impact of process innovations on firm's productivity growth: the case of Spain

The main aim of this paper is to investigate about the effect that a measure of the process innovation performance of a firm has on its labour productivity growth. This analysis is mainly a consequence of two considerations. The first one results from a clear differentiation of the role that product and process innovations have on a firm's performance. The second one is to assume that the knowledge capital of a firm is mainly composed by its successful research. The study demonstrates that process innovation has a positive and significant effect on firm's productivity growth. Moreover, this result is robust under a wide range of alternative specifications and, in any case, the variable behaves much better than R&D intensity. Following previous research, the detected quadratic relationship between vertical product differentiation and process innovation performance leads to the existence of some firms for which there exist a trade–off between quality and productivity.     

Productivity,innovation strategies and industrial relations in SMEs. Empirical evidence for a local production system in northern Italy

The paper aims to provide an original contribution to evaluating several kinds of relations between four areas of innovation activities – training, technology, organization, ICT (information and communication technologies) – and industrial relations and firm’s economic performance. Quantitative evidence for a SME‐based local production system is provided by exploiting two datasets: the first is derived from a direct survey carried out in 2005 collecting data on innovations, labour flexibility and industrial relations; the second is represented by a panel of official balance sheets data for the period 1998–2004. The analysis is divided in two consequential parts. We first examine the drivers of different innovation strategies and subsequently we exploit innovation indicators as potential drivers of firm’s productivity. The results show that training activities and organizational changes have strong links with many industrial relations indicators, thus emerging as industrial relations driven innovations. On the contrary, ICT and technological innovation seem to be more influenced by firms’ past performances than by industrial relations. The analysis on labour productivity drivers shows that training activities are the most relevant factors; then, ranked consequently, technological innovation, organisational innovations and, finally, ICT also appear to impact on productivity levels. It is worth noting that the role of ICT emerges more robustly when endogeneity is specifically addressed. Finally, the role of firm size seems here to be overshadowed by other drivers.     

Product and process innovation and total factor productivity: Evidence for manufacturing in four Latin American countries

The literature on firm productivity recognizes the important role played by firm innovation activities on firm productivity in developed countries. However, the literature for developing and emerging economies is scarce and far from conclusive. The aim of this paper is to study the innovation–productivity link (distinguishing between process and product innovations) for manufacturing at the firm level for four Latin American countries (two classified as upper‐middle income countries by the World Bank—Argentina and Mexico—and two as lower‐middle income—Colombia and Peru). We aim testing whether the level of development is a mediating factor in the innovation–productivity link. The data used have been drawn from the World Bank panel enterprise surveys, for 2006 and 2010. First, we estimate total factor productivity (TFP) and, second, we use the estimated TFP as a regressor or as dependent variable, in two models for testing self‐selection of the most productive firms into innovation or the existence of returns to innovation in terms of productivity. Our results confirm the mediating role of the level of development in the innovation–productivity link: both the self‐selection and the returns‐to‐innovation hypotheses work only for the upper‐middle income countries.     

Productivity, innovation and R&D: Micro evidence for Italy

By exploiting a rich firm level data-base, this paper presents novel empirical evidence on the effect of process and product innovations on productivity, as well as on the role played by R&D and fixed capital investment in enhancing the likelihood of introducing innovations at the firm level. Our results imply that process innovation has a large impact on productivity. Furthermore, R&D spending is strongly positively associated with the probability of introducing a new product, whereas fixed capital spending increases the likelihood of introducing a process innovation. The latter result might reflect the fact that new technologies are frequently embodied in new capital goods. However, the effect of fixed investment on the probability of introducing a process innovation is magnified by R&D spending internal to the firm. This implies that R&D can affect productivity growth by facilitating the absorption of new technologies.     

Knowledge and productivity in the world’s largest manufacturing corporations

This paper develops a model linking firm knowledge with productivity. The model captures three characteristics of firm knowledge (capital, diversity and relatedness) that are tested on a sample of 156 of the world’s largest corporations. Panel data regression models suggest that unlike knowledge diversity, knowledge capital and knowledge relatedness explain a substantial share of the variance of firm productivity. Relatedness matters because it lowers coordination costs between heterogeneous activities. Consequently, the traditional econometric specification has repeatedly underestimated by 15 percent the overall short-run contribution of intangible assets to firm productivity. This underestimation becomes fiercer in high-technology sectors.     

How important are dual economy effects for aggregate productivity?

This paper brings together development accounting techniques and the dual economy model to address the role that factor markets have in creating variation in aggregate total factor productivity (TFP). Development accounting research has shown that much of the variation in income across countries can be attributed to differences in TFP. The dual economy model suggests that aggregate productivity is depressed by having too many factors allocated to low productivity work in agriculture. Data show large differences in marginal products of similar factors within many developing countries, offering prima facie evidence of this misallocation. Using a simple two-sector decomposition of the economy, this article estimates the role of these misallocations in accounting for the cross-country income distribution. A key contribution is the ability to bring sector-specific data on human and physical capital stocks to the analysis. Variation across countries in the degree of misallocation is shown to account for 30–40% of the variation in income per capita, and up to 80% of the variation in aggregate TFP.     

Linking Knowledge to Productivity: A Germany-Italy Comparison Using the CIS Database

This paper employs micro-aggregated data from the FirstCommunity Innovation Survey for assessing the contribution of the level and type of R & D spending, the purchase of new machinerywith embodied technological change, economies of scale, and information sharing with client and suppliers to productivity(total sales per employee) in German and Italian firms in 20 manufacturing industries. The regression analysis confirms theresults of previous studies that R & D and technological change embodied in new machinery and capital equipment aremajor factors affecting productivity at the firm level. However, the elasticity of productivity to both R & D and embodiedtechnological change is higher in Germany than in Italy. Conversely, information sharing with clients and suppliersrelated to innovation projects does not result in higher productivity, with the exception of a few industries (inparticular those producing traditional consumer goods) in Germany.     

企业规模与创新:来自中国省级水平的经验证据

本文使用我国1985—1997年省级水平的面板数据,应用动态面板模型方法对我国企业规模与创新的地区间差异问题进行了研究。本文的基本发现是,在我国,企业规模对创新有显著的促进作用,但是企业规模对创新的正向关系主要来源于非国有企业,而不是国有企业。这说明企业规模与创新的关系要以一定的企业治理结构为条件,单纯的规模化和集团化并不一定能够保证企业的创新能力。     

数据要素与研发决策对工业全要素生产率的影响——来自2010—2019年中国工业的经验证据

在高质量发展阶段,工业全要素生产率不仅取决于数据要素的市场化配置,同时在很大程度上还受到研发决策影响。利用2010—2019年中国工业面板数据,估计数据要素与研发决策对工业全要素生产率的影响效应。结果表明,数据要素赋能资本、劳动要素后的要素深度融合,对工业全要素生产率具有显著改善作用;与劳动密集型工业相比,数据要素对资本密集型工业全要素生产率的改善作用更加显著。将研发决策纳入后发现,探索型研发决策对资本密集型工业全要素生产率提升具有显著促进作用,而囿于高风险的利用型研发决策则对工业全要素生产率的改善作用不显著。进一步研究发现,探索型研发决策能够促进数据要素赋能传统要素,二者有效融合能够显著提高工业全要素生产率。     

Evidence on the impact of R&D and ICT investments on innovation and productivity in Italian firms

Both research and development (R&D) and information and communication technology (ICT) investment have been identified as sources of relative innovation underperformance in Europe vis-à-vis the USA. In this article, we investigate the R&D and ICT investment at the firm level in an effort to assess their relative importance and to what extent they are complements or substitutes. We use data on a large unbalanced panel data sample of Italian manufacturing firms constructed from four consecutive waves of a survey of manufacturing firms, to estimate a version of the CDM model of R&D, innovation, and productivity [Crépon–Duguet–Mairesse 1998. Research, innovation and productivity: An econometric analysis at the firm level. Economics of Innovation and New Technology 7, no. 2: 115–58] that has been modified to include ICT investment and R&D as the two main inputs into innovation and productivity. We find that R&D and ICT are both strongly associated with innovation and productivity, with R&D being more important for innovation, and ICT investment being more important for productivity. For the median firm, rates of return to both investments are so high that they suggest considerably underinvestment in both these activities. We explore the possible complementarity between R&D and ICT in innovation and production, but find none, although we do find complementarity between R&D and worker skill in innovation.     

高技术制造业创新效率评价及要素投入差异性研究

高技术制造业发展及竞争优势提升依赖于其技术创新能力。以高技术制造业下属行业为研究对象,运用DEA-Malmquist指数法分析高技术制造业每个行业动态效率变化值,并结合熵值法确定投入指标权重,采用灰色关联分析法深入研究各创新投入要素对产出的贡献度。结果表明：①我国高技术制造业在2014-2015年的全要素生产率最低,但整体上创新效率发展态势较好;②技术进步效率是影响全要素生产率变化的主要因素;③相同投入要素在不同行业中的贡献度差异较大,主要归因于指标投入强度及技术创新能力差异。     

企业创新资源配置结构对创新绩效的影响：基于不同产权性质视角

产权性质与企业创新投入及创新绩效的关系一直是学术界争论的焦点之一。尽管整合制度逻辑和效率逻辑有助于调和现有矛盾,但是采用投入—产出模型忽略了影响创新绩效的微观要素与配置结构间的差异。以要素配置为切入点,将企业创新资源配置划分为人员结构、人员层次结构与经费结构3部分,从产权性质视角打开企业创新投入的“黑箱”。结果发现：①与民营企业相比,国企倾向于配置更多创新资源;②在国企的3种资源配置结构中,仅经费结构配置合理,能够显著提升创新绩效,人员结构配置对创新绩效的提升作用不显著;③相比之下,民企人员结构配置较为合理,对创新绩效的提升发挥着重要作用;④国企、民企人员层次结构配置均不合理且无显著差异。研究表明：民企善于发挥人的优势,而国企更能发挥物的优势。研究结论可为解释产权性质与创新绩效差异提供新视角。     

Productivity Growth and Input Demand: The Effect of Learning by Doing in a Gold Mining Firm in a Developing Economy

This paper analyzes the effect of learning by doing (LBD) on the firm’s productivity growth and its input demand decisions. The results indicate that LBD is an important determinant of the firm’s productivity growth. The contribution of LBD to the firm’s productivity growth is about 5.6%. Another observation is that LBD has a decreasing effect on the firm’s cost of production – a finding which is consistent with the results of many studies. Also, an increase in LBD measured by cumulative production increases the firm’s demand for capital, and decreases the firm’s demand for labor. Lastly, LBD has a significant effect on the firm’s elasticity of scale. A fundamental message derived from the study is the confirmation that the firms should invest in more large capital equipment, embark on new processing techniques, and create an environment that is conducive to on-the-job learning.     

The “sugar rush” from innovation subsidies: a robust political economy perspective

The governments of most advanced countries offer some type of financial subsidy to encourage firm innovation and productivity. This paper analyzes the effects of innovation subsidies using a unique Swedish database that contains firm level data for the period 1997–2011, specifically informa tion on firm subsidies over a broad range of programs. Applying causal treatment effect analysis based on matching and a diff-in-diff approach combined with a qualitative case study of Swedish innovation subsidy programs, we test whether such subsidies have positive effects on firm performance. Our results indicate a lack of positive performance effects in the long run for the majority of firms, albeit there are positive short-run effects on human capital investments and also positive short-term productivity effects for the smallest firms. These findings are interpreted from a robust political economy perspective that reveals that the problems of acquiring correct information and designing appropriate incentives are so complex that the absence of significant positive long-run effects on firm performance for the majority of firms is not surprising.     

The effects of human resource management on small firms’ productivity and employees’ wages

This paper analyses whether employees and firms differently benefit from particular human resource (HR) practices. The focus is on small firms that may be badly informed on the impact of HR practices on firm performance. In this study on Dutch pharmacies, it is found that firms do not reward employees’ skills according to their contribution to firms’ productivity, as (1) employees are over-rewarded for their sector-specific skills and under-rewarded for the productivity enhancing effect of their computer skills and (2) employees’ work experience positively affects their wages but does not have real productivity effects. Moreover, it is found that training employees in case of vacancy problems seems to be an adequate HR practice, since it increases productivity without affecting the average wage level. The opposite holds for offering higher wages to newly recruited employees. Furthermore, we find that only the employees benefit from performance evaluation interviews, whereas employing many employees by temporary contracts appears to have a negative effect on productivity, without affecting the wage level.     

研发创新抑制波动机制分析*——基于企业生产供给波动视角

本文基于种类扩展型技术进步框架构建了理论模型,分析研发创新对企业层面生产供给波动的影响效应以及其作用机理,并利用中国制造业企业数据对理论模型进行验证。本文发现,研发创新带来的更多技术种类能够在一定程度上抵御生产波动的风险,企业研发创新强度越大、全要素生产率越高,则企业产出波动性和生产率波动性越小。进一步研究发现,研发投入是通过扩展技术种类范围、提升全要素生产率间接地抑制波动,而研发产出会对企业层面波动产生直接和间接的抑制作用。因此,本文揭示了“创新性毁灭”之外研发创新影响企业层面波动的另一种机制,为改善供给状况、平抑实体经济波动提供了政策启示。     

Research,Innovation And Productivi[Ty: An Econometric Analysis At The Firm Level

This paper studies the links between productivity, innovation and research at the firm level. We introduce three new features: (i) A structural model that explains productivity by innovation output, and innovation output by research investment: (ii) New data on French manufacturing firms, including the number of European patents and the percentage share of innovative sales, as well as firm-level demand pull and technology push indicators; (iii) Econometric methods which correct for selectivity and simultaneity biases and take into account the statistical features of the available data: only a small proportion of firms engage in research activities and/or apply for patents; productivity, innovation and research are endogenously determined; research investment and capital are truncated variables, patents are count data and innovative sales are interval data.

We find that using the more widespread methods, and the more usual data and model specification, may lead to sensibly different estimates. We find in particular that simultaneity tends to interact with selectivity, and that both sources of biases must be taken into account together. However our main results are consistent with many of the stylized facts of the empirical literature. The probability of engaging in research (R&D) for a firm increases with its size (number of employees), its market share and diversification, and with the demand pull and technology push indicators. The research effort (R&D capital intensity) of a firm engaged in research increases with the same variables, except for size (its research capital being strictly proportional to size). The firm innovation output, as measured by patent numbers or innovative sales, rises with its research effort and with the demand pull and technology indicators, either directly or indirectly through their effects on research. Finally, firm productivity correlates positively with a higher innovation output, even when controlling for the skill composition of labor as well as for physical capital intensity.     

An empirical examination of small firm growth

We find that the extent of small firm growth is negatively related to industry capital intensity and advertising intensity, but it is positively related to the extent of human capital, total innovation activity, and small firm innovation activity, and the extent to which the productivity growth of small firms has exceeded that of large firms.     

Drivers of productivity in Vietnamese SMEs: the role of management standards and innovation

Using a rich panel dataset of small and medium scale manufacturing enterprises (SMEs) active in the manufacturing sector in Viet Nam, this paper investigates the drivers of firm productivity, focusing on the role played by international management standards certification. We test the hypothesis that, accounting for technological innovation (product and process) and other variables related to technological capabilities, international standards are conducive to higher productivity, through improved management practices and business organization. In line with the requirement of continuous improvement implied by most international standards, the main findings show that the possession of an internationally recognized standard certificate leads to significant productivity premium. We further find that the effect of certification on productivity is particularly strong for firms with technological innovation, located in southern provinces, and operating in more scale-intensive industries.