How do investment patterns of independent and captive private equity funds differ? Evidence from Germany

Empirical literature emphasizes a positive contribution of private equity investors, which results from their combined provision of capital, monitoring, and management support. The aim of this study is to show that these previous results, which are based mostly on the analysis of US independent closed-end private equity funds, cannot be generalized since the private equity industry should not be treated as homogenous. We argue that it is necessary to distinguish between different types of private equity providers because their differing governance structures, strategic goals and experiences have a decisive influence on their value adding activities. The results of this study—which uses a data set of 179 German private equity-backed companies—are consistent with the conjecture that independent and corporate private equity providers tend to have a more pronounced role in corporate governance and monitoring of the companies they finance, than bank-dependent and governmental funds which often serve only as bridge investors.      

Business cycles in emerging economies: the role of interest rates

We find that in a sample of emerging economies business cycles are more volatile than in developed ones, real interest rates are countercyclical and lead the cycle, consumption is more volatile than output and net exports are strongly countercyclical. We present a model of a small open economy, where the real interest rate is decomposed in an international rate and a country risk component. Country risk is affected by fundamental shocks but, through the presence of working capital, also amplifies the effects of those shocks. The model generates business cycles consistent with Argentine data. Eliminating country risk lowers Argentine output volatility by 27% while stabilizing international rates lowers it by less than 3%.     

Board of Directors and CSR in Banking: The Moderating Role of Bank Regulation and Investor Protection Strength

This paper brings together research on boards of directors as the backbone of corporate governance and corporate social responsibility (CSR) practices in the banking industry. The underlying idea is that some characteristics of bank boards, in particular independence and gender diversity, may impact the CSR commitments of banks. By making use of a sample of 159 banks in nine countries during the period 2004–2010, our empirical evidence suggests that banks with more independent directors and more female members on their boards incline toward socially responsible behaviour. Our results also suggest that institutional factors play a significant role in these effects. They show that in greater regulatory and stronger investor protection environments, board independence and gender diversity have more influence on the social behaviour of banks.     

Debt contracts in the presence of performance manipulation

Empirical evidence suggests that firms often manipulate reported numbers to avoid debt covenant violations. We study how a firm’s ability to manipulate reports affects the terms of its debt contracts and the resulting investment and manipulation decisions that the firm implements. Our model generates novel empirical predictions regarding the use and the level of debt covenant, the interest rate, the efficiency of investment decisions, and the likelihood of covenant violations. For example, the model predicts that the optimal debt contract for firms with relatively strong (weak) corporate governance (i.e., cost of manipulation) induces overinvestment (underinvestment). Moreover, for firms with strong (weak) corporate governance, an increase in corporate governance quality leads to tighter (looser) covenant, more (less) frequent covenant violations and lower (higher) interest rate. Our model highlights that the interest rate, which is a common proxy for the cost of debt, neither accounts for the distortion of investment efficiency nor the expected manipulation costs arising under debt financing. We propose a measure of cost of debt capital that accounts for these effects.     

The raw material basis of global value chains: allocating environmental responsibility based on value generation

A new approach to allocate environmental responsibility, the ‘value added-based responsibility’ allocation, is presented in this article. This metric allocates total environmental pressures occurring along an international supply chain to the participating sectors and countries according to the share of value added they generate within that specific supply chain. We show that – due to their position in global value chains – certain sectors (e.g. services) and countries (e.g. Germany) receive significantly greater responsibility compared to other allocation approaches. This adds a new perspective to the discussions concerning a fair distribution of mitigation costs among nations, companies and consumers.     

Carbon taxes and the double dividend hypothesis in a recursive-dynamic CGE model for Spain

A carbon tax is potentially a policy that can reduce CO₂ emissions and mitigate climate risks, at lowest economy-wide costs. We develop a dynamic CGE model for Spain to assess the economic and environmental effects of a carbon tax, and test the double dividend (DD) hypothesis. We simulate the impact of three carbon taxes: €10, €20 and €30 per ton of CO₂. For each tax, four ‘revenue recycling’ scenarios are examined: a reduction of taxes on capital, on labor, on value-added tax, and a scenario in which revenues are not recycled. We find a DD for taxes of €10/ton and lower, within five to seven years of implementation. We estimate an annual CO₂ emissions reduction of around 10% with this tax. Under some circumstances, the DD can be achieved for a tax of €20/ton. In any case, recycling revenues to cut pre-existing taxes reduces costs of imposing carbon taxes.     

Creation of models for calculation of coefficients of terrain passability

Quality & Quantity - The content of this article is a paper about a complex mathematical model of terrain passability which respects geographical and meteorological conditions in terrain and...     

Pesticide‐handling practices: the case of coffee growers in Papua New Guinea

Pesticide mismanagement potentially has high risks for farmers, households living in the community and the environment. In Papua New Guinea where farming is the primary occupation, there is evidence of dangerous herbicide application methods being used by coffee growers. Using original survey data for coffee smallholders from four provinces, we assess the factors driving farmers' use of personal protective equipment when preparing and applying herbicides, and farmers' disposal of agro‐chemical containers. We control for households' demographic variables and measure the impact of farmers' training in pest and disease management. We use the special regressor method to estimate binary choice models featuring an endogenous binary regressor (training). Our results show that human capital (education) and training are important drivers of farmers' pesticide‐handling practices, with marginal effects estimated at 10 and 22 per cent, respectively.     

Visual displays: analytical study and applications to graphs and real data

Principal axis methods such as principal component analysis (PCA) and correspondence analysis (CA) are useful for identifying structures in data through interesting planar graphic displays. However, some kinds of data sets can be dealt alternatively with PCA or CA. This paper focuses on methods, such as PCA and CA, and on visual displays. Our aim is to illustrate the implications for a potential user of selecting either method, and its advantages and disadvantages, from an applied point of view. This is a matter covered broadly in textbooks and elsewhere considering theoretical arguments. Our purpose is to contribute to the comparison between these methods, over the same data set, in order to illustrate them for the practitioner. In the first part of this paper we present a novel analytical study of a binary matrix associated with a non-oriented axis-symmetric graph and show that CA outperforms standardized PCA for the reconstitution and visualization of such kind of graphs. In the second part we present a case using real data dealing with the distribution of employees in different economic sectors for the countries of the European Union, analyzed by means of standardized PCA and two-way CA, in order to see the differences between the two methods in practice.