Knowledge Spillovers,Competition and Innovation Success

We study the relationship between a patent-based measure of knowledge spillovers that calculates technological proximity based on technologically relevant firms and innovation success. We find – for a representative sample of Swiss firms – that knowledge spillovers have a positive and significant association with the commercial success of innovative products. The paper shows the importance of market conditions for the relationship of spillovers with innovation performance: It is only positive and significant in markets with a medium number of competitors in the main product market, but not in monopolistic or polypolistic market structures.     

Organisational consequences of asymmetries in task dependence: the moderating role of HR practices

This study integrates recent advances in interdependence theory with the literature on commitment‐based HR practices. New research on interdependence theory suggests that differences, or asymmetries, in task dependence among organisational members can cause interests to diverge. Prior research has shown that this can negatively affect interpersonal relations, individual outcomes and team processes. However, these insights gained on the dyadic, individual and team levels of analysis have not yet been explored at the organisational level and, until now, no research had yet connected these advances in interdependence theory to the field of HRM research. Hence, the current study investigates (a) whether asymmetries in task dependence do (or do not) matter at the organisational level and affect organisational effectiveness, (b) why this relationship may work by assessing a key mediator, namely, trust climate and (c) if and how these relationships can be altered by commitment‐based HR practices. Our moderated‐mediation model was tested and fully supported by a multi‐source data set of 8,390 employees from 67 organisations.     

From fork to farm: Impacts of more sustainable diets in the EU-27 on the agricultural sector

The implications of dietary changes for the environment and for human health are well documented, but the impacts on the agricultural sector are less well researched. We fill this gap by specifying scenarios in which European consumers' diets approximate the EAT-Lancet dietary recommendations to varying degrees and estimate the effects on agricultural production, incomes and emissions using an agro-economic modelling framework. The combination of different models allows for a detailed assessment of consequences for the agricultural sector from the global through European NUTS2 level to the farm level at different time scales. Shifting European consumption towards the EAT-Lancet recommendations leads to decreasing production of animal-based products, while production of fruits and vegetables increases sharply. The results indicate that the agricultural sector could benefit from a dietary shift, though the results are mixed at country, regional and farm levels. In particular, countries and regions that are highly specialised in animal farming are likely to lose income—at least in the short run—while regions with higher shares of vegetable and fruit farms can expect income gains. In Germany, pig and poultry farms may experience losses of up to 34% of their income, whereas farms with a high share of vegetables could gain more than 30% in income. Our results have implications for the policies to assist these extensive structural adjustments in response to widespread dietary changes.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

The triggers and clustering properties of merger waves

This article studies the triggers and the agglomeration of mergers and acquisitions (M&A) activity within clusters constituted by time, market and industry. Based on almost 500,000 individual transactions, we find that industry factors play a significant role in triggering activity and that M&A agglomerates strongly across related industries. While clustering in time turns out to be insignificant, stock market effects can be either an attracting or a repelling force, depending on the type of deal examined. This supports the view that merger waves are largely driven by industry shocks.     

Entrepreneurship in Europe

This article focuses on the changes in attitude and venture capital provision that the author believes are necessary to rekindle the spirit of entrepreneurship in Europe. The article goes on to discuss technology clusters and the role of stock markets. It then describes the way the Cambridge-based Amadeus venture capital company sets about the venture capital process. It concludes with a plea for entrepreneurship centres to be set up in each university and for some changes in government policy.     

Spatial concentration and plant-level productivity in France

This paper analyzes empirically the effect of spatial agglomeration of activities on plant-level productivity, using French firm and plant-level data from 1996 to 2004. We exploit short-run variations of variables by making use of GMM estimation. This allows us to control for endogeneity biases that the estimation of agglomeration economies typically encounters. This means that our paper focuses on a subset of agglomeration economies, the short-run ones. Our results show that French plants benefit from localization economies, but we find very little - if any - evidence of urbanization economies. We also show that those localization benefits are relatively well internalized by firms in their location choice: we find very little difference between the geography that would maximize productivity gains in the short-run and the geography actually observed.     

Hedging Strategies of Financial Intermediaries: Pricing Options with a Bid-Ask Spread

This paper uses a model similar to the Boyle-Vorst and Ritchken-Kuo arbitrage-free models for the valuation of options with transactions costs to determine the maximum price to be charged by the financial intermediary writing an option in a non-auction market. Earlier models are extended by recognizing that, in the presence of transactions costs, the price-taking intermediary devising a hedging portfolio faces a tradeoff: to choose a short trading interval with small hedging errors and high transactions costs, or a long trading interval with large hedging errors and low transactions costs. The model presented here also recognizes that when transactions costs induce less frequent portfolio adjustments, investors are faced with a multinomial distribution of asset returns rather than a binomial one. The price upper bound is determined by selecting the trading frequency that will equalize the marginal gain from decreasing hedging errors and the marginal cost of transactions.