Understanding the Dynamics of Nascent Entrepreneurship—Prestart‐Up Experience,Intentions, and Entrepreneurial Success

Understanding the factors driving the successful founding of new firms is a subject of ongoing interest. We link prestart‐up experience and intentions of nascent entrepreneurs to the shape of the entrepreneurial gestation process and eventually to successful founding. By experience, we mean previous entrepreneurial activities, labor market experience, and formal education, and by intentions, we mean commitment and ability expectations. We test our predictions on a longitudinal data set that tracks nascent entrepreneurs' venture creation efforts over a five‐year time span and find evidence supporting them. Against this background, our findings also show that when controlling for the possible endogeneity of the activities carried out, a later temporal concentration of organizing activities enhances the probability of successfully founding. Our research contributes to a better understanding of contextual antecedents of the shape of gestation process and the way experience and intentions affect the successful creation of new ventures. Implications for theory and practice are discussed.     

Motives of multis in Germany

This article which — like the subsequent one — is essentially based on a recently concluded expertise¹, is concerned with the different motivational structures of German and foreign multinational corporations (MNCs). Whereas German direct investments abroad reveal an offensive character, the policy of foreign MNCs in the Federal Republic of Germany is much more defensive. There are also significant differences between German and foreign MNCs as regards the internal division of labour.     

Entrepreneurship: The Role of Clusters Theoretical Perspectives and Empirical Evidence from Germany

This paper is about the impact of clusters on entrepreneurship at the regional level. Defining entrepreneurship as the creation of new organisations and clusters as a geographically proximate group of interconnected firms and associated institutions in related industries, this paper aims to answer three research questions : first, do clusters matter to entrepreneurship at the regional level? Second, if clusters are associated with different levels of entrepreneurship, what explains those differences? Third, what do the answers to the previous questions imply for academics and policy makers? To answer these questions, this paper distinguishes between clusters and industrial agglomerations and advances a theoretical model and empirical research to explain the impact of clusters on entrepreneurship at the regional level. This paper uses the 97 German planning regions as units of analysis to test the hypotheses. Using hypotheses testing and OLS fixed-effects model, this paper finds that clusters do have an impact on entrepreneurship at the regional level, but industrial agglomerations do not. Implications for academics and policy makers and suggestions for future research are given in the concluding section.     

A productivity study of the Norwegian building industry

Slow productivity growth in the building and construction industry is often put forward as the cause of rising building costs. In view of the importance of the building sector in the national economy, factual empirical knowledge is hard to come by. The few studies found are usually carried out on a sectoral level and based on time-series data. However, to come to grips with the real causes for slow productivity growth, one has to analyze at the microlevel of actual decision making. Our study is based on establishment data for 1986. The method of analysis is the deterministic frontier approach. The efficiency distributions show large variations with average structural efficiency about 20 percent. Thus, there is significant scope for productivity improvement if average performance can catch up with best practice.The refereeing process of this article was handled through T.G. Cowing.     

Technological and financial approaches to risk management in agriculture: an integrated approach*

In the present paper, risk‐management problems where farmers manage risk both through production decisions and through the use of market‐based and informal risk‐management mechanisms are considered. It is shown that many of these problems share a common structure, and that a unified and informative treatment of a broad spectrum of risk‐management tools is possible within a cost‐minimisation framework, under minimal conditions on their objective functions. Fundamental results are derived that apply regardless of the producer's preference towards risks, using only the no‐arbitrage condition that agricultural producers never forego any opportunity to lower costs without lowering returns.     

Optimal Area-Yield Crop Insurance Reconsidered

The implementability of area-yield insurance contracts in the presence of symmetric and asymmetric information about the farmer's "beta" linking his yield to the risk-pool's yield is examined. In the presence of fixed costs and symmetric information Mahul's result that optimality requires setting the slope of the indemnity schedule equal to each farmer's beta is confirmed. When there is asymmetric information between the insurer and the farmer, however, this full-insurance contract is vulnerable to adverse selection, and therefore may not be implementable for general cost structures. The optimal area-yield insurance contract under asymmetric information is characterized.     

Historical resources, uncertainty and preservation values: An application of option and optimal stopping models

State agencies and private historical organizations frequently acquire historical sites with unknown characteristics. In this paper, we provide two approaches to evaluating the preservation decision. In the first approach, we show that a historical site which is not permanently preserved provides citizens with a certain flexibility whose value can be measured as an option on the maximum between the current real estate value and the preservation value. In the second approach, we assume that the organization has an infinite planning horizon and chooses the optimal sale date. Using a contingent valuation estimate of the public's willingness to pay for preservation of a specific historical site and the real estate price, we provide simulation values of the preservation option value and the optimal stopping rule.