Researchers and practitioners who use Data Envelopment Analysis often want to incorporate several inputs and outputs in their model to consider as much relevant information as possible. However, too many inputs and outputs can result in the well-known dimensionality problem referred to as the...

Discrete-time stochastic models of groundwater management have been extensively used for understanding a variety of issues in groundwater management for agriculture. Most models used suffer from two drawbacks: relatively simplistic treatment of extraction cost (remarked in many papers in the...

Discrete-time stochastic models of management of groundwater resources have been extensively used for understanding a variety of issues in groundwater management for agriculture. Most models used suffer from two drawbacks: relatively simplistic treatment of the cost of water extraction (remarked...

This article analyses management of hydropower dams within monopolistic and oligopolistic competition and when hydroelectricity producers are risk averse and face demand uncertainty. In each type of market structure we analytically determine the water release path in closed-loop equilibrium. We...

For years, research has been conducted to correctly model and predict the risk and return structures of Private Equity (PE) funds. Although past research has revealed valuable insight into the features of those funds, most risk and return model struggle with the dispersion of PE funds' returns,...

This work provides an extensive overview of the input-output (IO) literature, both theoretical and empirical, dealing with the inherent IO data uncertainty issues. The survey is carried out on the basis of a specific uncertainty technique used, rather than taking a chronological overview...

With the Paris Agreement of 2016, 189 nations signed a legally binding document to keep global warming below 2 C, and to pursue efforts to limit the temperature increase to 1.5 C. It was recognized that this would reduce climate change impacts substantially. All signatories submitted "Intended...

This paper examines to what extent information opacity exacerbates climate risks in supply chains. Understanding the information frictions in supply chain settings is important because disruptions originating from an opaque supplier can impose greater risk to the supply chain as a whole than...

Supply chain disturbances can lead to substantial increases in production costs. To mitigate these risks, firms may take steps to reduce their reliance on volatile suppliers. We construct a model of endogenous network formation to investigate how these decisions affect the structure of the...

In the search for effective pesticide risk management tools, the design of pesticide risk indicators is nowadays receiving increasing attention as a complement to more established regulatory strategies. In the present paper, we apply some recently developed pesticide risk indices and test their...