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In an increasingly competitive environment, firms have to optimally adjust both their allocation of input factors and their technology portfolio. The latter determines economies of scope and scale in future research and production. The aim of this dissertation is to achieve better insight into the strategies that firms employ and the impact of these strategies on performance. Hence, this thesis can be seen as having two parts. Chapters 2 and 3 center on the question of outsourcing, market structure and productivity, while Chapters 4 and 5 focus on the strategic alignment of firms and the efficient use of inputs in the knowledge production process, given product market entry restrictions. In Chapter 2 I evaluate whether firms experience significant productivity gains which decide to rearrange their production process by subcontracting in-house activities to outside suppliers. Here, I focus on the influence of service outsourcing, measured by the costs of external contract work. The chapter is based on a unique micro dataset for the German manufacturing sector. My findings suggest that service outsourcing can contribute significantly to a better performance of firms. Firms starting to outsource exhibit a seven percentage points higher growth rate than firms that decide to continue all production activities in-house. Chapter 3 looks at specific market characteristics that favor the outsourcing decision of firms. I test two main hypotheses which I derive from both transaction costs and production costs considerations. My empirical analysis focuses on the German automobile industry, which offers a particularly interesting example in this context since German-car makers have played an active role in restructuring the industry by means of outsourcing. Chapter 4 aims to examine the supply side in greater detail. More specifically, I discuss the impact of a firm’s technology portfolio on its performance, measured in terms of its market value. Based on an expanded Tobin’s q approach, I present evidence for a negative relationship between the number of fields and the market value, combined with a counterbalancing effect of relatedness. Enlarging the technology portfolio in unrelated fields negatively influences the market value of a firm due to the fact that it reduces the ability to exploit future economies of scale and scope. In contrast, diversifying into related areas increases the possibility to benefit from economies of scope, which reduces future costs and thereby increase future profits. The last chapter – at least to some extent – turns back to the question of optimal input allocation and puts the knowledge production process at the center of the analysis. In contrast to Chapter 4, where the focus lies on the alignment of the technology portfolio and the market value of firms, Chapter 5 takes a macroeconomic perspective and assesses the relative efficiency of knowledge production on the country level. Countries are exposed to an increasingly competitive environment, both in domestic and foreign markets for innovative products and future technologies. This process forces nations to continuously update their technological capabilities. Thus, in a globalized world, the efficient usage of the scarce resources devoted to R&D becomes more and more important. While most of the empirical literature affirms a positive link between R&D expenditure, the number of researchers and innovative output, far less attention has been paid to the question of whether the input factors in the knowledge creation process are allocated to their most efficient use. In Chapter 5 I fill the gap in two ways: First, I calculate the relative efficiency of public and private R&D expenditures in the OECD using a nonparametric efficiency analysis approach, the data envelopment analysis (DEA) technique. Using country level R&D and patent information, I present efficiency scores based on intertemporal frontier estimation for the period 1995 to 2004. Secondly, I take a closer look at the different market structures of these countries. In particular, I test the hypothesis that regulation reduces competition by raising barriers to entry, thereby lowering competitive pressure and the incentives to innovate efficiently. I examine the impact of countries’ product market regulation on their relative R&D efficiency by applying a consistent two stage truncated regression approach proposed by Simar and Wilson (2007).