Retail network spatial expansion: An application of the percolation theory to hard discounters

This article concerns the spatial organization of a retail network. During the expansion of a retail network, the location decision process does not necessarily lead to a regular distribution of outlets throughout the territory. The case of 5 hard discount store networks in France in their development stage illustrates this situation. A hard discount network strategy to fight against incumbent stores relies on the postulate that its competitiveness stems from its perfect cost control, and consequently, its ability to impose its brands to the consumers. To explain hard discounter spatial strategies, the diffusion theory was primarily developed by retaining only the temporal dimension of the process. But this model is not well established for the disordered environment in which the networks are managed. The percolation theory facilitates a new approach of the diffusion in this disordered medium that represents the retail network.     

Do the COVID-19 Crisis,Ageing and Climate Change Put Swiss Fiscal Sustainability at Risk?

The ongoing coronavirus pandemic crisis as well as demographic and climate change pose major challenges for public finances. This article deals with the implications of demographic trends in Switzerland, i.e. the progressive ageing of the population and its impact on the country’s public finances in the long run. As the analysis shows, the brunt of the demographic burden is borne by the old-age pension scheme, health and long-term care. This article also addresses the financial ramifications of the COVID-19 crisis and shows the need for economic policy action over the longer term to ensure the sustainability of public finances in Switzerland. Furthermore, a qualitative assessment of climate change is included, as it constitutes an additional major long-term challenge for public finances.

     

Improvement of a Bio-Economic Mathematical Programming Model in the Case of On-Farm Source Inputs and Outputs

We present a two-step process for solving nonlinear farm activity models inside a linear framework under the assumption that market prices approximate the shadow prices of the model’s constraints. In the event of market imperfections or missing prices (for example non-marketed outputs), the previous assumption is not justified and the derived solution is not optimal. To circumvent this problem and to avoid nonlinear algorithms that may prove unwieldy for large models, we propose an iterative computation method, based on the re-estimation of shadow prices in each step until a converging solution is found. The method is applied to the bio-economic model AROPAj, which consists of a number of linear programming (LP) farm sub-models representing different farming systems across the European Union. For most of LPs producing non-marketed outputs a converging solution is obtained in two iterations, while the remaining LPs lead to periodic solutions of very low amplitude.

     

Marginal abatement costs of greenhouse gas emissions from European agriculture, cost effectiveness, and the EU non-ETS burden sharing agreement

We propose a quantitative assessment of the marginal abatement costs (MAC) of greenhouse gas emissions from European agriculture and analyze the implications of the non-ETS burden-sharing agreement (BSA) for this sector. This assessment is based on MAC reduced forms, the generic specification of which enables simple parameterization and numerical computations. Such MAC curves are parameterized for each Member State using the outputs of a detailed model of the European agricultural supply. They are then used to compute total and marginal abatement costs involved by the BSA targets, as well as the cost-effective effort sharing, the corresponding emission price and abatement costs. The main findings are: (i) flexibility mechanisms such as a cap-and-trade system for agricultural emissions could reduce the total costs of meeting the 10% EU abatement target by a factor two to three relative to the strict implementation of each country's target, (ii) the corresponding equilibrium emission price is found to be 32-42 €/tCO₂eq depending on the assumption regarding business-as-usual emissions, and (iii) a cap-and-trade system with allowances based on the BSA targets would involve substantial transfers from EU-15 countries to New Member States, an important share of which being made of ‘hot air’.     

Methane and Nitrous Oxide Emissions from Agriculture in the EU: A Spatial Assessment of Sources and Abatement Costs

Agriculture significantly contributes to emissions of greenhouse gases in the EU. By using a farm-type, supply-side oriented, linear-programming model of the European agriculture, the baseline levels of methane and nitrous oxide emissions are assessed at the regional level in the EU-15. For a range of CO₂-equivalent prices, we assess the potential abatement, as well as the resulting optimal mix of emission sources in the total abatement. Furthermore, we show that the spatial variability of the abatement achieved at a given carbon price is large, indicating that abatement cost heterogeneity is a fundamental feature in the design of a mitigation policy. The cost savings permitted by market-based instruments relative to uniform standard are shown to be large.     

Convergence in a Dynamic Heckscher–Ohlin Model with Land

Convergence among nations that share the same preferences and technologies is a key result of the closed‐economy neoclassical growth framework that has received substantial support in the data. However, Heckscher–Ohlin versions of the two‐sector neoclassical growth model predict that nations that differ in their capital–labor ratios may not converge to the same steady state, even if they are identical in all other aspects. This is a puzzling result that warns us about potential dangers of international trade. In this paper we show that when land, an input in fixed supply, is introduced into the model, international trade in goods no longer limits the capacity of poor nations to catch up with the advanced world.