Erosion mitigation in the Waikato District,New Zealand: economic implications for agriculture

Soil erosion, in its various forms, is caused or aggravated by agricultural activities. Mitigation of surface erosion comprises the construction of shelterbelts, fencing, riparian buffering, and stock reduction. Mitigation of mass‐movement erosion, in turn, takes the form of spaced planting of trees to maintain a persistent, healthy, and complete ground cover. In this article, we assess the economic implications to agriculture of the adoption of mitigation alternatives for erosion control in the Waikato District, New Zealand. The Waikato District presents a spatial pattern of erosion that affects profitability of dairy, and sheep and beef enterprises. We use the Universal Soil Loss Equation and the New Zealand Empirical Erosion Model to estimate erosion figures that are then fed into an economic‐focused, nonlinear, partial equilibrium mathematical programming model of New Zealand land use. Different scenarios are constructed for surface and mass‐movement soil erosion targets ranging from 0% to 50% below baseline levels. We find that achieving surface erosion targets is more expensive than mass‐movement targets, and results in different responses in regional‐level costs, land use, enterprise net revenue, and adoption of mitigation alternatives.     

Awareness as a foundation for developing effective spatial data infrastructures

The development of an effective spatial data infrastructure (SDI) often occurs in a fragmented organizational environment requiring a high level of inter-organizational collaboration. Different organizations from various jurisdictions need to work together closely when agreeing on how they will jointly register, store, use and share data and how they will make their data available to the wider society. However, this collaboration is generally regarded as very difficult. For example people often resist data sharing across organizational boundaries due to loss of control, power and independency. Organizational issues are thus considered one of the fundamental constraints to inter-organizational sharing of spatial data.     

Triangulation: Validity and empirically-based hypothesis construction

The essay focuses on the opportunities and strengths of a multi-method approach, widely called methodological triangulation, in which different investigative methods are applied to one research object. In practice, this can be realized with the coupling of quantitative structural data concerning the life course and the interpretation and evaluation of life course data collected with qualitative methods. This approach is examined in order to shed light on the problem that research findings often show different phenomena and not the different aspects of one phenomenon. The discussion of the relationships of the findings to one another (congruent, complementary or divergent) shows that in this context a multi-method approach can nevertheless be used to increase validity and to test hypotheses. Further, its particular strengths are the empirically induced modification of existing models and theories, as well as the development of new explanations.     

Natural resource rents and internal conflicts: Can decentralization lift the curse?

We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization.     

Fare Thee Well? An Analysis of Buyout Funds’ Exit Strategies

This paper analyzes exit strategies of buyout funds in portfolio companies following initial public offerings (IPOs). We use a data set of 222 buyout‐backed IPOs in the United States from 1999 to 2008, including hand‐collected data about each exit process, to draw a detailed roadmap of buyout investors’ divestment processes. Using this data, we document the timing and aggressiveness of the exit strategies, and analyze to which degree a multitude of possible determinants influence the choice of a given exit strategy. Our results indicate that buyout funds remain invested in their portfolio companies for a substantial period of time after the IPO, and that the choice of a given exit strategy depends not only upon the characteristics of each respective portfolio company, but also on the financial success of the deal from the perspective of the buyout investor.     

‘HAVE YOU FELT ANGRY LATELY?’: A NOTE ON UNFAIR WAGE PERCEPTIONS AND THE NEGATIVE EMOTION OF ANGER

The author analyses the nexus between unfair wage perceptions of workers and the frequency of the negative emotion of anger. For this purpose, German household panel data for the years 2007, 2009, 2011 and 2013 are used. Angry feelings in the last four weeks have occurred significantly more frequently for workers who perceive their wage as unfair, whereas the own absolute hourly wage is not significantly correlated with the frequency of having felt angry. The results further indicate that workers have felt more often angry if working hours are larger; but the economic significance seems rather small compared to unfair wage perceptions.