Bettina Peters

Persistence of Innovation: Stylised Facts and Panel Data Evidence

This paper investigates whether firms innovate persistently or discontinuously over time using an innovation panel data set on German manufacturing and service firms for the period 1994–2002. It turns out that innovation behaviour is permanent at the firm–level to a very large extent. Using a dynamic random effects discrete choice model and a new estimator recently proposed by Wooldrigde (2005), I further shed some light on the driving forces for this phenomenon. The econometric results show that past innovation experience is an important determinant for manufacturing as well as for service sector firms, and hence confirm the hypothesis of true state dependence. In addition, the results highlight the important role of knowledge provided by skilled employees and unobserved individual heterogeneity in explaining the persistence of innovation.

Firm Level Innovation and Productivity - Is there a Common Story Across Countries?

Recent studies have documented extensive heterogeneity in firm performance within countries, and innovation has been found as an important determinant. This paper addresses the issue of innovation firm performance across countries. A growing number of national firm level studies on the innovation-productivity link have been conducted using new internationally harmonized survey data, known in Europe as Community Innovation Survey (CIS). Mainly due to confidentiality reasons cross-country comparisons of CIS data are still rare. The contribution of this paper is its unique approach of pooling original firm observations from Germany and Sweden. Applying a knowledge production function that gives the relationship between innovation input, innovation output and productivity, we find to a very large extent a common cross-country story for knowledge intensive manufacturing firms. Some interesting country-specific effects are reported as well.

Employment Effects of Different Innovation Activities: Microeconometric Evidence

Using the model recently developed by Jaumandreu (2003) this paper reports new results on the relationship between innovation and employment growth in Germany. The model is tailor-made for analysing firm-level employment effects of innovations using specific information provided by CIS data. It establishes a theoretical link between employment growth and innovation output. The econometric analysis confirms that product innovations have a positive impact on employment. In contrast to previous studies, this effect is independent of the novelty degree. Moreover, different employment effects between manufacturing and service firms regarding process innovations were found. Finally, from a cross country perspective the results for Germany are similar to those found for Spain and the UK.

Innovation, Employment Growth, and Foreign Ownership of Firms - A European Perspective

This paper examines how foreign-owned and domestically owned firms transform innovation into employment growth. The empirical analysis, based on the model of Harrison, Jaumandreu, Mairesse and Peters (2008) and CIS data for 16 countries, reveals important differences between the two groups: Due to general productivity increases and process innovation, foreign-owned firms experience higher job losses than domestically owned firms. At the same time, employment- creating effects of product innovation are larger for foreignowned firms. Together with employment-stimulating effects stemming from existing products, they overcompensate the negative displacement effects resulting in net employment growth in foreign-owned firms. However, net employment growth turns out to be smaller in foreign-owned firms than in domestically owned firms.

Estimating Dynamic R&D Demand: an Analysis of Costs and Long-Run Benefits

Using firm-level data from the German manufacturing sector, we estimate a dynamic, structural model of the firms decision to invest in R&D and quantify the cost and longrun benefit of this investment. The model incorporates and quantifies linkages between the firms R&D investment, product and process innovations, and future productivity and profits. The dynamic model provides a natural measure of the long-run payoff to R&D as the difference in expected firm value generated by the R&D investment. For the median productivity firm, investment in R&D raises firm value by 3.0 percent in a group of hightech industries but only 0.2 percent in low-tech industries. Simulations of the model show that cost subsidies for R&D can significantly affect R&D investment rates and productivity changes in the high-tech industries.

Churning of R&D Personnel and Innovation

This paper explores the role of R&D worker mobility on innovation performance. As one main novelty, we employ churning as a measure for worker mobility. Churning depicts the number of workers which are replaced by new ones. It is a very informative indicator since a firm may be exposed to simultaneous leave and inflow of R&D workers even if the size of R&D employment remains unchanged. Hence, we can separate the effect of replacement from net change in R&D workforce. Our results from estimating various knowledge production functions suggest an inverse u-shaped relationship. The exchange of R&D personnel fosters innovation through inter-firm knowledge spillovers and improved job-match quality up to certain threshold. The point when costs of churning exceed the benefits is reached faster if the R&D knowledge is non-duplicative.

Innovation, Creative Destruction and Structural Change: Firm-Level Evidence from European Countries

Abstract The shift of employment from lower to higher productive firms is an important driver for structural change and industry dynamics. We investigate this reallocation in terms of employment gains and losses from innovation. New employment created by product innovation may be offset by employment losses in related products, known as ‘cannibalisation’ or ‘business stealing’ effects in the literature, by employment losses from process and organisational innovation and by general productivity increases. The paper investigates this effect empirically with a large data set from the European Community Innovation Survey. We find that employment gains and losses increase with technology intensity of the sector. High-technology manufacturing shows the strongest employment gains and losses from innovation, followed by knowledge-intensive services, low-technology manufacturing and less knowledge-intensive services. The net contribution of innovation to employment growth is mostly positive, an exception being manufacturing industries in recession periods.

Intangible assets and investments at the sector level: Empirical evidence for Germany

This paper investigates the role intangible capital plays for economic growth in different sectors in Germany. It consists of two major parts. In the first part, we aim at measuring investment in intangibles at the sector level. We shed light on differences across sectors but also compare these figures with investment in physical capital and with investment in intangibles in the UK as European benchmark. The second part explores the role of intangible assets for stimulating growth at the sector level by performing growth accounting analyses. We find that German firms have boosted investments in intangible capital from 1995-2006 by 30%. Furthermore, results reveal differences in the investment patterns among the UK and Germany. In nearly all sectors investments in design and computerized information are larger in the UK. In contrast, German firms invest a higher proportion of gross output in R&D in all sectors, and advertising is also more common except for the sector trade & transport. Intangible assets have stimulated labour productivity growth in all sectors. The contribution varies between 0.17 (construction) and 0.59 (manufacturing) percentage points. In manufacturing, financial and business services innovative property capital is the most influential type of intangible capital for labour productivity, followed by economic competencies and computerized information. In all other sectors, economic competencies play the most prominent role for labour productivity growth.

The contribution of international R&D to firm profitability

The internationalisation of corporate R&D opens up the chances to participate in international knowledge sharing. This increasingly motivates firms to accelerate the pace and extent of their international R&D activities in order to enhance innovativeness and consequently competitiveness and profitability. Such business ventures, however, might be associated with huge organizational costs as well as risks of outgoing knowledge spillovers. In this paper we empirically address the question whether international R&D activities boost profitability. We employ a large data set of about 1300 firms from the German Community Innovation Survey (CIS). The empirical results demonstrate that R&D location matters for profitability. Firms with both domestic and foreign R&D activities make significantly higher profits than all other firms, including those that carry out solely domestic R&D. We furthermore ascertain that the degree of R&D internationalisation affects profitability. Our findings suggest that medium decentralised firms which innovate in two or three foreign countries outperform firms with centralized or highly decentralized international R&D strategies. Notwithstanding, decentralized firms achieve a higher firm performance than firms that solely conduct R&D activities in their home country.

Short-Term Borrowing for Long-Term Projects: Are Family Businesses More Susceptible to 'Irrational' Financing Choices?

There are noticeable differences between the roles that various forms of credit financing play in family businesses and in other businesses. Family businesses take out more often bank loans specifically to finance investments and innovations, and they particularly often resort to the short-term and relatively expensive option of an overdraft. How can we explain these differences in financing choices? Do family businesses tend to use shorter-term, more expensive sources of financing because they face more restrictions than other or are there other motives such as financial independence at play? Our econometric approach to these issues is to study the financing behaviour and creditworthiness. For both of these aspects, we compare family businesses with non-family-run businesses that otherwise have the same characteristics. Our results do not confirm that family businesses are faced by stronger financial constraints but they indicate that family firms are prepared to accept higher financing costs in order to preserve their financial independence.