The law and economics of sycophancy

Tullock (in: Rowley (ed) The selected works of Gordon Tullock, Liberty Fund, Indianapolis, pp 399–455, 2005) was skeptical of the presumed economic efficiency of the common law, as adversarialism, apparently inherent to common law procedures, allowed for and was prone to litigiousness. Common law litigations accord to patterns of rent-seeking, as litigants invest ever more resources to assure victory. This paper asks if viable institutional solutions can emerge to resolve the problem Tullock identified. I survey the historical development of the term sycophancy within ancient Greek law as a revealing case study. Though a relatively innocuous pejorative in contemporary parlance, the term’s etymological roots stem from a formative process of ancient legal and institutional change within Athenian Greece. In the wake of specific legal reforms that expanded the scope of governmental authority under Solon (born 638–558 BCE), citizens were given explicit financial incentive to report violators of newly implemented public laws. Thereafter, social stigma surrounding third party legal representation leveraged the term sycophancy in reference to prosecutors motivated by private interests over the public welfare. Forgone social status and eventually formal criminal sanction emerged as offsetting differentials against the incentives of sycophancy.     

Understanding Error Structures and Exploiting Panel Data in Meta-analytic Benefit Transfers

A regression meta-analysis is a statistical summary of results from a set of empirical studies. While, a meta-analysis is typically used to drawn inferences regarding the collective insights from an empirical literature, a regression meta-analysis can also be used to predict outcomes as a substitute for the conduct of a new study. Within the nonmarket-valuation literature benefit transfers are a special case of prediction where value estimates collected for one purpose are used as a basis for predicting value for unstudied applications. Balancing against the prediction opportunities provided by a regression meta-analysis is the potential prediction error. This paper considers some of these issues in the estimation of a regression meta-analysis to support prediction of nonmarket values for applications where an original study does not exist. We do not purport to address all elements of the error structure and prediction issues, but to present a more coherent focus to enhance future research on the validity and reliability of benefit-function transfers, and ultimately assist in enhancing the credibility of benefit transfers to support policy analyses.     

Price competition in the market for business telecommunications services

We estimate a two-step control-function model that relates incumbent prices for small-business telecommunications services to the number of facilities-based entrants, cost, demand, regulatory conditions, and a correction for endogenous market structure. Results show that the price effects from entry are understated in ordinary least squares regressions. When controlling for endogeneity, prices are negatively related to the number of entrants, indicating that markets without a competitive presence could exhibit market power. These findings should prove helpful to the Federal Communications Commission and other State regulators determining the conditions under which price and other forms of regulation may be relaxed.     

Rekommunalisierung versus Neukonzessionierung der Energieversorgung

The current trend back to municipal utilities (??remunicipalisation??) in the German energy system shows very different approaches and variants in the real cases. Converting the distribution network from privately-owned distribution companies to municipally-owned entities often forms the starting point of such restructuring processes. Ecological or regional development motivations are at the forefront of public debates. The authors emphasize the importance of energy economic aspects of this problem. Advantages and disadvantages of remunicipalisation projects depend strongly on the specific regional circumstances. Important factors are the potentials for cooperation and expansion of the business activities. Moreover, the price which has to be paid for taking over the network infrastructure has to be taken into account as the decisive parameter: The price for buying or renting the network and the possible revenues on the backdrop of incentive-based regulation define the economic viability for the municipality. Many of the often heard arguments pro remunicipalisation, such as the objective of decentralized energy supply, labour effects and municipal contributions to climate protection, do not fully convince in the end; as well the fiscal status of many municipalities in Germany is severe. Nonetheless remunicipalisation must not be rejected in general because there is no general proof for welfare losses resulting from these projects. In fact, it depends mainly on local influencing factors to what extent municipalities should be or become active in the field of energy supply. Among the most important aspects the preferences of the citizens, the environmental and political aims of the municipality (so far they are defined) and the available resources of the municipal decision making persons and bodies must be mentioned. However, in economic terms the leeway for the municipality remains restricted by the costs of operating the network and tariff regulation.     

An Empirical Analysis of the Average Plant Start-Up Size in Turkish Manufacturing Industries

Many studies have found start-up size of a firm to be an important determinant of its subsequent performance and probability of survival. The aim of this study is to investigate the determinants of average plant start-up size in 51 four-digit Turkish manufacturing industries for the period 1993?C1999. The results of the study suggest that while industry characteristics such as industry growth rate and capital intensity have a positive impact on the average plant start-up size, industrial concentration, import penetration, and the change in research and development expenditures are negatively associated with the same variable. In addition, the macroeconomic environment is also an important determinant of the choice of plant start-up size. Finally, we find evidence that may indicate ??following?? (herd) behavior in Turkish manufacturing industries.     

Balancing Power Markets in Germany: Timing Matters

This paper analyzes timing issues on the German balancing power market. We focus the analysis on the length of the bidding period, i.e. the length of the time period a supplier has to provide balancing power capacities, and the question of how far before the beginning of a bidding period the auction should be carried out. We show that different load levels require different plants for the optimal provision of balancing power. In a longer bidding period, the power plants that have the lowest average cost in the bidding period are unlikely to be efficient in all hours of the bidding period. Hence, shortening bidding periods can increase efficiency. Furthermore, we show that an early commitment on a power plant’s mode of operation (when uncertainty about resulting spot prices is still relatively high) also reduces efficiency. This suggests that the auction should be held relatively close to the beginning of the bidding period. Furthermore, we discuss some advantages of a liquid real time market.     

Modeling defaults of companies in multi-stage supply chain networks

The interest in supply chain networks and their analysis as complex systems is rapidly growing. The physical approach to the topic draws on the concept of heterogenous interacting agents. The interaction among agents is considered as a repeated process of orders and production. The dynamics of production in the supply chain network which we observe is nonlinear due to the random failures in processes of orders and production. We introduce an agent-based model of a supply chain network which represents in more detail the real economic environment in which firms operate. We focus on the influence of local processes on the global economic behavior of the system and study how the proposed modifications change the general properties of the model. We observe collective bankruptcies of firms, which lead to self-emerging network structures. Our results give insight into the dynamics of default processes in supply chain networks, which have important implications both for risk managers and policy makers. Based on the simulations we show that agent-based modeling is a powerful tool for optimization of supply chain networks.     

Assessment of stock size to minimize cutting stock production costs

A method for assessing the optimal stock size for the expected order size for a single-period one-dimensional cutting stock problem is proposed. The stock size is optimal when the expected total costs of trim loss, warehousing, and non-fulfilment are minimum. The stock size is the sum of all bar lengths in the stock, and the order size is the sum of shorter bar lengths in various numbers of pieces. Using simulated test cases, a statistical estimation of optimal stock size is conducted, which in our case is approximately 50% above the expected order. The proposed method can help company choose the appropriate level of stock to minimize their total costs.     

Why are African commodity exchanges languishing? A case study of the Zambian Agricultural Commodity Exchange

Food price volatility and high transactions costs remain major problems in African food markets. These persistent problems provide a strong theoretical justification for the development of commodity exchanges. However, the majority of African commodity exchanges remain underdeveloped. Through a case study of the Zambian Agricultural Commodity Exchange (ZAMACE), this article explores why agricultural commodity exchanges in the region have thus far failed to develop into sustainable trading platforms and identifies the most important changes needed to enhance their performance.     

How to build a strategic network: A practitioner-oriented process model for the ICT sector

One critical success factor for the future will be the ability to build and develop strategic networks. This ability is especially vital in the dynamic information and communication technology (ICT) sector, where the development of competitive offerings often requires a coalition of platform and service providers. However, the academic literature has yet to propose a systematic managerial tool for the strategic network building process. Our distinctive contribution is the development of a practitioner-oriented process model for building a strategic network, which is linked to the resource-based view and the value creation system approach. Moreover, we suggest that instead of being a sequential stage-wise process, the construction of a strategic network can be divided into parallel, although not necessarily simultaneous, sub-processes based on the required value activities in the entire business concept. The resulting network-building model is used to provide managerial suggestions for the efficient construction of strategic business networks.