How Should We Measure Poverty in a Changing World? Methodological Issues and Chinese Case Study

This study asks whether, in a rapidly changing world, the estimated proportion of the world's population with income below US$1 (adjusted according to purchasing power parity) per day is still a good measure of trends in poverty. It argues that strong economic growth in nations such as China implies that the commonly accepted international poverty line definition of one half median national equivalent income is increasingly relevant and that poverty intensity (the normalized deficit or Foster–Greer–Thorbecke (FGT) index of order one) is a better summary index. This index has a convenient graphical representation—the “poverty box”. Using the proposed poverty line and the example of ranking the level of rural poverty in Chinese provinces, the study demonstrates how poverty intensity replicates the poverty rankings of the Sen family of poverty indices and captures most of the information content of higher‐order FGT indices.     

Model-Based Decision Support in Manufacturing and Service Networks

In this paper, we sketch some of the challenges that should be addressed in future research efforts for model-based decision support in manufacturing and service networks. This includes integration issues, taking into account the autonomy of the decision-making entities in face of information asymmetry, the modeling of preferences of the decision makers, efficiently determining robust solutions, i.e. solutions that are insensitive with respect to changes in the problem data, and a reduction of the time needed for model building and usage. The problem solution cycle includes problem analysis, the design of appropriate algorithms and their performance assessment. We are interested in a prototypical integration of the proposed methods within application systems, which can be followed up with field tests of the extended application systems. We argue that the described research agenda requires the interdisciplinary collaboration of business and information systems engineering researchers with colleagues from management science, computer science, and operations research. In addition, we present some exemplifying, illustrative examples of relevant research results.     

Can Non-point Phosphorus Emissions from Agriculture be Regulated Efficiently Using Input-Output Taxes?

In many parts of Europe and North America, phosphorus loss from cultivated fields is threatening natural ecosystems. Though there are similarities to other non-point agricultural emissions like nitrogen that have been studied extensively, phosphorus is often characterized by the presence of large stocking capacities for phosphorus in farm soils and long time-lags between applications and emission. This makes it important to understand the dynamics of the phosphorus emission problem when designing regulatory systems. Using a model that reflects these dynamics, we evaluate alternative regulatory systems. Depending on the proportions of different types of farms in the agricultural sector, we find that an input-output tax system can be the core element of a close to efficient regulatory policy.     

Dealing with the devil of deviation: managing uncertainty during product development execution

This paper examines deviations in complex product development. Based on an extensive case study, using participant observations, interviews, and data from deviation reports, it illustrates the causes, procedures, management challenges of deviations, and organizational roles devoted to deviation management. Based on the rich data material, it furthermore proposes a typology of deviations developed for a better understanding of this significant empirical phenomenon.     

Three public goods and lexicographic preferences: replacement principle

Review of Economic Design - We study the problem of locating multiple public goods for a group of agents with single-peaked preferences over an interval. An alternative specifies for each public...     

Factors determining the degree of gender equality within the European Union

Quality & Quantity - This paper aims to identify the major determinants of the structural differences in gender equality for EU countries, using tools from partial order theory on a system of 6...     

Regulation of Location-Specific Externalities from Small-Scale Polluters

Environmental and Resource Economics - Emission damages caused by small-scale polluters such as farms, vehicles, homes and small businesses are often location-specific and such polluters are often...     

Entitlements to continued life and the evaluation of population health

Review of Economic Design - We analyze the implications of axioms formalizing entitlements to continued life for the evaluation of population health, when combined with basic structural axioms. A...     

Moments of cross-sectional stock market returns and the German business cycle

Based on monthly data covering the period from 1987 to 2021, we analyse whether cross-sectional moments of stock market returns may provide information about the future position of the German business cycle. We apply in-sample forecasting regressions with and without leading indicators as control variables, pseudo-out-of-sample exercises, autoregressive distributed lag models, and impulse-response functions estimated by local projections. We find in-sample predictive power of the first and third cross-section moments for the future growth of industrial production, even if one controls for well-established leading indicators for the German business cycle. Out-of-sample tests show that these variables reduce the relative mean squared error compared with benchmark models. We do not find a long-run relation between the moment series and industrial production. The dynamic response of industrial production to a shock on the cross-section moments is in line with the other results.