A Meta‐Analysis on the Elasticity of Demand for Pesticides

There is an increasing policy interest in pesticide taxation schemes as a measure to reduce harmful effects of pesticide use. The effectiveness of such tax depends, however, on the price elasticity of demand for pesticides. Moreover, information on these demand elasticities and their determinants is of crucial relevance for policy‐making and normative modeling approaches. In this article, we present a meta‐analysis based on studies that have estimated pesticide demand elasticities in Europe and North America. Our meta‐analysis reveals that the own‐price elasticities of demand for pesticides are, with a median of ?0.28, significantly smaller than zero, but also significantly larger than ?1, i.e. to be inelastic. We find that the demand for pesticides for special crops is less elastic than that for arable and grassland. In addition, the demand for herbicides is more elastic than for other pesticides. Studies that consider only short‐term horizons and little flexibility for farmers to adjust to price changes generate significantly less elastic pesticide demands. The results also indicate that more recent studies identify lower pesticide price elasticities of demand. Furthermore, we find that peer‐reviewed studies tend to find more inelastic results compared to grey literature.     

Innovation speed under uncertainty and competition

Innovation speed is widely considered to be a key factor for a firm's ability to maintain competitive advantage. Primarily, empirical evidence has found contradictory interdependencies regarding the role of innovation speed. The prevailing proposition of “the faster the better” has been challenged by results of empirical studies heavily depending on the methodological setup used. In contrast, we propose a model of the complete innovation process to study innovation speed under uncertainty and competition. We find that higher market uncertainty speeds up innovation and encourages firms to innovate incrementally. Strong competition tends to reduce innovation speed and encourages rather radical innovation.     

Paradigm Shifts in Social Housing after Welfare-State Transformation: Learning from the German Experience

Welfare-state transformation and entrepreneurial urban politics in Western welfare states since the late 1970s have yielded converging trends in the transformation of the dominant Fordist paradigm of social housing in terms of its societal function and institutional and spatial form. In this article I draw from a comparative case study on two cities in Germany to show that the resulting new paradigm is simultaneously shaped by the idiosyncrasies of the country's national housing regime and local housing policies. While German governments have successively limited the societal function of social housing as a legitimate instrument only for addressing exceptional housing crises, local policies on providing and organizing social housing within this framework display significant variation. However, planning and design principles dominating the spatial forms of social housing have been congruent. They may be interpreted as both an expression of the marginalization of social housing within the restructured welfare housing regime and a tool of its implementation according to the logics of entrepreneurial urban politics.     

Will FinTech make regional banks superfluous for small firm finance? Observations from soft information-based lending in Germany

Regional banks have a competitive advantage in that short distances to clients enable the use of soft information for superior lending decisions. If the ambition of FinTech start-ups to create superior screening and monitoring technologies materialises, this advantage would be diminished and regional banks would become superfluous for small firm finance. To explore this claim, the paper in hand analyses qualitative empirical data about the lending processes and rating system use of regional German savings banks. In essence, the results from participant observation and interviews clarify the importance of “real” soft information for critical lending decisions. The context specificity and limited verifiability of “real” soft information hamper it from being hardened through the use of rating systems and other bank-ICT. Though FinTech's scoring technologies may overcome the first limitation, it appears likely that in the course of scoring development “real” soft information will be systematically crowded out due to the manipulation problem. The paper expects improved access to finance for SMEs if FinTech solutions overcome both limitations of “real” soft information use, or if peer-to-peer lending and regional banks coexist. Deteriorated access to finance is expected if FinTech companies displace the relationship banking of regional banks due to enhanced competition, without preserving the advantages of “real” soft information with superior screening and monitoring technologies. The paper concludes with recommendations on how to prevent deteriorated access to finance for small firms by promoting fair competition and FinTech innovations.     

Instrumental measurement of the cognitive and emotional background of deception

Quality & Quantity - The aim of this study is to instrumentally explore the cognitive and emotional load behind deception. According to literature, the cognitive and emotional load comprises of...     

Wird die Konjunkturkomponente der Schuldenbremse ihrer Aufgabe noch gerecht?

Wirtschaftsdienst - In der Debatte um die Schuldenbremse geht es zumeist um eine Grundgesetzänderung. Dabei ist ein wesentlicher Teil der Schuldenbremse — die Konjunkturkomponente,...     

Consequences of Linguistic Distance for Economic Growth

This paper advances a new country‐level measure of ethno‐linguistic diversity, making use of Greenberg's definition of diversity by synthesizing information on the share of different ethno‐linguistic groups in a country's population and, more importantly, information on intergroup linguistic distances derived from a recently developed lexicostatistical approach. I show that this measure captures ethno‐linguistic diversity at lower levels of linguistic aggregation. However, unlike the commonly used phylogenetic language tree approach, I found that these distance‐weighted diversity measures continue to have a strong negative statistical association with economic growth that is not sensitive to the underlying resemblance function between ethno‐linguistic groups.     

Environmentally Sustainable Development through Stakeholder Engagement in Developed and Emerging Countries

This cross‐country study investigates the antecedents and outcomes of corporate environmental responsibility (CER) practices in developed and emerging countries. Based on stakeholder and institutional theory, we conducted an empirical study among firms in Germany, USA, India and China. We found support for a significant positive relationship between regulatory, market and social stakeholder influences, CER practices and business outcomes in the total and individual country samples. Regarding country differences, our data reveal significant similarities and differences between developed and emerging countries. Market stakeholder influences are stronger in developed countries, whereas regulatory and social stakeholder influences do not differ significantly between the two country groups. The relationship between CER practices and positive business outcomes is stronger in emerging than in developed countries. Implications for institutional theory and organizations are outlined. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment