Farming system modelling for agri-environmental policy design: The case of a spatially non-aggregated allocation of conservation measures

This paper addresses the issue of designing policies for habitat conservation on agricultural land. The case under study requires a non-aggregated spatial distribution of the fields to be enrolled in an agri-environmental programme. A spatially explicit mathematical programming farm-based model, which accounts for three spatial levels (field, farm and landscape), is coupled with a relevant spatial pattern index (the Ripley L-function) to analyse the design and implementation of an agri-environmental programme aimed to preserve the Tetrax tetrax in the Plaine de Niort, France. The model is run using a stylised map with heterogeneous soil types and both crop growing and mixed dairy farms. Results show that valuable insights into agri-environmental programme design are gained through a detailed representation of farming system management. The suitable, non-aggregated spatial pattern for T. tetrax conservation is more costly than less-suitable, more aggregated patterns, because it tends to require equal participation of all farms. The policy simulations reveal that the various spatial patterns can be obtained through relatively simple uniform contract structures. An effective contract structure entails a set of two degressive payments which encourages all farms to enrol at least a small share of their land in the program.     

Cost of doing business index in Latin America

Quality & Quantity - The World Bank's Ease of Doing Business Index (EDBI) has been widely used in analyzes of attracting investments and formulating public policies. Despite its importance...     

Agent-based modeling of systemic risk in the European banking sector

Journal of Economic Interaction and Coordination - In this paper, we use an agent-based simulation combined with innovative calibration techniques to model the European banking system as accurately...     

Endogenous monetary commitment

We develop an asynchronous framework in which each player can optimally select the frequency of his moves based on cost-benefit considerations. To demonstrate how such ability to commit can alleviate coordination problems, we apply the framework to monetary policy.     

A Procedure for Negotiating Pollution Reduction under Information Asymmetry. Surface Water Quality Case

This paper considers an alternative approachto surface water quality management whensociety is faced with the need to reduce waterpollution in a region with a complicatedregulatory environment. The paper is focusedon a specific kind of negotiation betweenpolluters and an authority, leading toresolution of the problem when there is theinformation asymmetry between the authorityand the polluters, i.e., the true pollutionabatement costs are known to the pollutersonly. This paper reports a laboratory experimentalcase prepared at the Department ofEnvironmental Economics, the University ofEconomics in Prague. The comparison withtheoretical computed first-best results underconditions of full information is included.Political and economic aspects of thesuggested approach are also discussed.     

THE EURO'S TRADE EFFECT: A META‐ANALYSIS

Many studies have estimated the trade effect of the euro, but their results vary greatly. This meta‐analysis collects 3323 estimates of the euro effect along with 28 characteristics of estimation design from almost 60 studies and quantitatively examines the literature. The results show evidence of publication bias, but they also suggest that the bias decreases over time. After correcting for the bias, the meta‐analysis shows that the literature is consistent with an effect ranging between 2% and 6%. The results from Bayesian model averaging, which takes into account model uncertainty, show that the differences among estimates are systematically driven by data sources, data structure, control variables, and estimation techniques. The mean reported estimate of the euro's trade effect conditional on best‐practice approach is 3%, but is not statistically different from zero.     

The Urbanization of Nature in a (Post)Socialist Metropolis: An Urban Political Ecology of Allotment Gardening

In this article we explore how nature becomes part of the city through the example of allotment gardening in the city of Prague, in the Czech Republic. Prague allotments were established based on an ongoing political-ecological process of urbanization of nature that was locally driven by socialist (from 1948 to 1989) and later neoliberal governance. We employ a situated urban political ecology (UPE) approach to analyse changes in the planning of allotments and the impact thereof on the experience of gardeners. This double focus allows us to uncover the effects of neoliberalization on the processes of production of urban nature in respect of both policy and everyday practice. We contrast contemporary capitalist urbanization with its socialist predecessor by showing the immediate effects of the acceptance of neoliberal modes of governance on allotments, urban nature and the understanding of the city. We open allotments as a terrain for UPE to turn attention to the (uneven) production of urban nature in a post-socialist context that has thus far been largely absent from the UPE literature. We demonstrate that post-socialist urbanization is a fruitful terrain that offers new opportunities to unmask the effects of neoliberalization on the production of uneven urban space and thus improves our understanding of contemporary uneven urbanisms.