Wolves' contribution to structural change in grazing systems among swiss alpine summer farms: The evidence from causal random forest

The return of wolves to Swiss mountains and the damage they cause to sheep and goat herds in the region have raised concerns about a consequent wave of farm closures. In this paper, we examine the relationship between wolf attacks and the decline of Alpine summer farms, a specific high-altitude farm type. We collected farm structure data and monitoring data on wolf attacks between 2004 and 2021 and analysed them using a causal random forest method, enabling a detailed analysis of the relation between wolf attacks and the number of different types of Alpine summer farms at a regional level. The results show that the farming systems are unaffected by incidental and infrequent wolf attacks, but that a high number of wolf attacks in a region is related to faster decrease in number of grazing systems where sheep are most vulnerable to such attacks. In contrast, systems that allow for better herd protection tend to show an increase in areas with frequent wolf attacks.     

Optimal internal control regulation: Standards,penalties, and leniency in enforcement

To protect investors, regulators increasingly rely on regulating firms’ internal controls over financial reporting, but they punish noncompliance only if an internal control weakness enabled accounting manipulation. In other words, enforcement is manipulation-contingent. We develop an economic model with a manager who sequentially chooses internal control quality and manipulative effort, and a welfare-maximizing regulator who determines an internal control standard, the penalty size for internal control weaknesses, and when to invoke such a penalty. Internal control regulation under manipulation-contingent enforcement not only provides incentives to invest in internal controls, but also improves manipulation deterrence when there are internal control weaknesses. The optimal regulation takes advantage of this additional deterrence effect by using a very strict internal control standard and an intermediate penalty that is only levied in the event of accounting manipulation. Overall, we rationalize why the commitment to lenient enforcement of internal control regulation is optimal.     

Novel advancements in the Markov chain stock model: analysis and inference

In this paper we propose further advancements in the Markov chain stock model. First, we provide a formula for the second order moment of the fundamental price process with transversality conditions that avoid the presence of speculative bubbles. Second, we assume that the process of the dividend growth is governed by a finite state discrete time Markov chain and, under this hypothesis, we are able to compute the moments of the price process. We impose assumptions on the dividend growth process that guarantee finiteness of price and risk and the fulfilment of the transversality conditions. Subsequently, we develop non parametric statistical techniques for the inferential analysis of the model. We propose estimators of price, risk and forecasted prices and for each estimator we demonstrate that they are strongly consistent and that properly centralized and normalized they converge in distribution to normal random variables, then we give also the interval estimators. An application that demonstrate the practical implementation of methods and results to real dividend data concludes the paper.     

Corporate taxes,capital structure,and valuation: Combining Modigliani/Miller and Miles/Ezzell

The valuation of a firm with discounted cash flow (DCF) approaches requires assumptions about the firm’s financing strategy. The approaches of Modigliani and Miller and Miles and Ezzell assume that either a passive debt management with predetermined debt levels or active debt management with capital structure targets is applied. Over the last decades, various extensions of these approaches have been developed to allow for a more realistic depiction of financial decision making. However, recent empirical analyses indicate that current theories still have limited power to explain large variances in capital structure across time. We provide an alternative explanation for the empirical observation by assuming that firms combine both capital structure targets and predetermined debt within future periods, and we show how to value a firm given such a partially active debt management. The approaches of Modigliani and Miller and Miles and Ezzell are embedded into a common valuation framework, with the familiar valuation formulas shown as special cases. In a simulation analysis, we illustrate that the textbook valuation formulas may produce considerable valuation errors if a firm applies a partially active debt management.     

Keeping it real or keeping it simple? Ownership concentration measures compared

We analyze the distributional properties of ownership concentration measures and find that measures come from different underlying statistical distributions. Consistent with theory, some measures that are classified to represent a monitoring dimension have a positive influence on firm performance; other measures that are interpreted to represent a shareholder conflict dimension are negatively related to firm performance. However, other measures deviate from this pattern, and therefore, we cannot conclude that simple measures can replace complicated measures. Some measures are more suitable for analyzing the relationship between management and owners, whereas other measures are more suitable for analyzing the relationships among owners.     

Employee stock options with performance conditions: do commonly used valuation heuristics work?

Valuation heuristics are widely used to value traditional time vesting option plans. This study analyses if these heuristics also qualify for valuing performance vesting plans. We examine performance conditions tied to the underlying stock, the stock's performance relative to a stock index, and an earnings measure. The differences between the approximated option values and the values assuming optimal exercise are overall smaller with the performance conditions than without them. In particular, this result holds when the heuristic exercise assumptions are based on the case without performance conditions, which is a considerable simplification in practice.     

Effiziente Risikosteuerung durch die Kfz-Versicherung – Eine verhaltensökonomische Untersuchung

From an economic perspective, the automobile insurance plays an important role in regulating the activity level of driving by closing a prevention gap of the strict liability for automobile accidents. The gap is caused by bounded rationality of car owners and drivers. Unrealistic optimism and self-serving bias lead to an underestimation of expected damages. As a result, the activity level of driving would rise above the optimum, social costs would exceed the utility from driving and too many accidents would occur. The article illustrates how the automobile insurance counteracts these inefficiencies and thereby leads to a more efficient activity level.     

Structural ambidexterity,transition processes,and integration trade‐offs: a longitudinal study of failed exploration

In order to overcome the exploration–exploitation paradox, structural ambidexterity literature suggests establishing differentiated units for exploitation and exploration with a carefully managed exploration–exploitation interface supporting cross‐fertilization without cross‐contamination. Recent research demonstrates the crucial role of integration mechanisms (i.e. how knowledge exchange between exploratory and exploitative units can be organized) and related transition modes (i.e. how exploratory innovations can ultimately be transferred back into the exploitative structures of core business) to deal with this challenge. However, a systematic account of the diverse tensions, risks, and trade‐offs associated with integration which may ultimately cause exploration failure is missing, so far. This paper presents a longitudinal process study uncovering the anatomy of an unsuccessful exploration of (green) technologies by a medium‐sized entrepreneurial firm. We investigated their transition processes to understand how the managers dynamically configured and reconfigured the exploration–exploitation interface over time. Our theoretical contribution lies in providing a framework of six integration trade‐offs (Exploratory‐complementary linking vs. contamination; Seeking legitimacy early on vs. frustration at discontinuation of innovation; Boundary spanning through job rotation vs. carrying over of old culture; Early vs. premature transfer; Reorganization vs. capability mutation; and Improved access to core business resources vs. resource starvation) linked to three phases in the transition process (before, at, and after transfer). We also highlight mechanism, pulling‐forward, and streamlining‐related failures linked to integration trade‐offs in resource‐constrained contexts. Our implication for R&D and top management is that the use of integration mechanisms for structural ambidexterity bears the risk of cross‐contamination between the exploitative and exploratory structures and are therefore inevitably linked to trade‐offs. To minimize negative side effects and prevent exploration failure, organizations have to consciously select, schedule, operationalize, and manage (re)integration mechanisms along the transition process. Our framework of integration trade‐offs systematically supports managers in their organizational design choices for integration mechanisms in the transition processes.     

The Influence of Regulation and Disruptive Potential on Incumbents' Submarket Entry Decision and Success in the Context of a Network Industry

This paper uses the theoretical perspectives of disruptive innovation, network externalities, and regulation to study the submarket strategies of incumbent firms that operate in a regulated network industry. In this setting, the impact of potentially disruptive innovations might be different because of the tighter regulation of incumbent firms. By analyzing the entry and success patterns of incumbent mobile network operators (MNOs) in the public hotspot markets in 17 Western European countries, we focus on how regulation and network effects as well as disruption factors influence the incumbent firms' strategies. In doing so, this paper departs from prior research that has primarily focused on unregulated industries and combines contradicting explanations from disruptive innovation theory, the motivation/ability framework, regulation theory, as well as network effects to provide a comprehensive analysis on how incumbents behave in a regulated network industry that is being confronted with a potentially disruptive innovation. In particular, while disruptive innovation theory predicts that the incumbents' vast experience in an industry could cause them to avoid entering new submarkets created by potentially disruptive innovations, the desire to avoid regulation could encourage such submarket entry. Furthermore, in regulated network industries, incumbent firms might have a stronger motivation to enter new submarkets as the importance of single customers and high market shares could be substantially different. These contrasting insights are used to develop an integrative research model and to derive hypotheses on incumbents' submarket entry decision and success. Drawing on cross‐sectional, multicountry data of 62 MNOs that operate in 17 Western European countries, this study uses logit and tobit regressions to test the impact of disruption factors, regulation, and network externalities on the entry decision and success of incumbent firms. The results reveal that the incumbent MNOs are caught in an area of conflict between the regulated industry context and their international technology strategy. The findings suggest that the incumbent MNOs' motivation and ability to escape regulation positively influenced their submarket entry and success in the public hotspot market. Thus, the potentially disruptive scenario was successfully turned into a potentially sustaining one as the incumbent MNOs could enhance their presence in the mobile broadband market. The testing on a multicountry basis as well as the positive influence of ethnocentric technology strategies for public hotspots, which are devised in the headquarters' location and are then brought out internationally, shed new light on an industry that has typically been characterized by country‐by‐country decisions. These findings may also reveal challenges for future research on disruptive innovations in multinational industries and expose future challenges for regulative authorities and managers. This paper thereby adds to the theory of disruptive innovation as it includes the influence of regulation on incumbents in network industries. Additionally, this study expands on previous findings on the disruptive potential of wireless local area network technology by employing a multi‐country analysis in 17 Western European countries.