Measuring Individual Preferences for Rural Multifunctionality: The Importance of Demographic and Residential Heterogeneity

We propose an approach to conceptualise ‘rural multifunctionality’ and further investigate peoples’ preferences for it. We use an opinion survey concerning individual preferences for several functions that rural spaces should provide. We use the analytical hierarchy process approach to assess the relative importance of each function. The results show how the social weightings of these functions are balanced, confirming that society demands truly multifunctional rural territories. Nonetheless, differences are found in individual preferences. We explore the demographic and socioeconomic determinants of these individual preferences, paying particular attention to the importance of heterogeneity using seemingly unrelated regressions. In short, results from this research could be employed as a useful informative element for the future development of public policies related to rural spaces.     

Some results on “an income fluctuation problem”

A consumer at each period, given the income available, y, has to decide how much to consume and save. If he consumes c ? 0 units he gets u(c) units of satisfaction or utility, and if x = y ? c ? 0 is the amount saved then the available income in the next period is rx + ω^k, where ω^k is a random variable, and r is an interest factor that is assumed to be known with certainty. Infinite time horizon problems are considered, and it is shown that if 0 < δr < 1, where 0 < δ < 1 is a discount factor, then the limiting policy is optimal. Questions about the behavior of the stock level, such as boundness, are considered, and an example is given that shows that the stock level might converge almost surely to infinity. Finally an economic explanation is given.     

Nature-based tourism,resource dependence,and resilience of Arctic communities: framing complex issues in a changing environment

Current research on tourism in the Arctic has focused largely on the extent, location, and type of tourism activities that occur in the region. Recently, challenges have been identified that the tourism industry is likely to face in the wake of global changes, including climate change. Related research, conducted within and outside of the Arctic, suggests that rural communities can become economically dependent on natural resource extraction (e.g. oil, gas, timber harvesting, and mining of minerals) and non-extractive resources (e.g. nature-based recreation and tourism), limiting diversification and potentially threatening resilience of rural communities. In the western USA, communities have become dependent on both extractive and non-extractive natural resource activities including nature-based tourism; however, it is less clear whether a similar situation is occurring in Arctic communities. In this article, we propose a framework and indicators to analyze the potential dependence of Arctic communities on nature-based tourism and the resilience of Arctic communities to potential boom–bust cycles of nature-based tourism. To do so, we examine the current state-of-knowledge about tourism and nature-based tourism in the Arctic through the lens of boom–bust dynamics and social-ecological systems.     

Addressing Uncertainty in Efficient Mitigation of Agricultural Greenhouse Gas Emissions

The agricultural sector, as an important source of greenhouse gas (GHG) emissions, is under pressure to reduce its contribution to climate change. Decisions on financing and regulating agricultural GHG mitigation are often informed by cost‐effectiveness analysis of the potential GHG reduction in the sector. A commonly used tool for such analysis is the bottom‐up marginal abatement cost curve (MACC) which assesses mitigation options and calculates their cumulative cost‐effective mitigation potential. MACCs are largely deterministic, typically not reflecting uncertainties in underlying input variables. We analyse the uncertainty of GHG mitigation estimates in a bottom‐up MACC for agriculture, for those uncertainties capable of quantitative assessment. Our analysis identifies the sources and types of uncertainties in the cost‐effectiveness analysis and estimates the statistical uncertainty of the results by propagating uncertainty through the MACC via Monte Carlo analysis. For the case of Scottish agriculture, the uncertainty of the cost‐effective abatement potential from agricultural land, as expressed by the coefficient of variation, was between 9.6% and 107.3% across scenarios. This means that the probability of the actual abatement being less than half of the estimated abatement ranged from <1% (in the scenario with lowest uncertainty) to 32% (in the scenario with highest uncertainty). The main contributors to uncertainty are the adoption rate and abatement rate. While most mitigation options appear to be ‘win–win’ under some scenarios, many have a high probability of switching between being cost‐ineffective and cost‐effective.     

Product Differentiation,Competitive Toughness,and Intertemporal Substitution

Standard measures of competitive toughness fail to capture the fact that, as consumers optimize intertemporally, firms operating today compete with (as yet non‐existent) businesses, which will be started tomorrow. We develop a two‐tier constant elasticity of substitution (CES) model of dynamic monopolistic competition in which the impact of product differentiation on the market outcome depends crucially on the elasticity of intertemporal substitution (EIS). The degree of product differentiation per se fails to serve as a meaningful indicator of competitive toughness: what matters is its cross‐effect with EIS. We also extend the model to the case of non‐CES preferences in order to capture variable mark‐ups.     

Are all financial crises created equal? Wholesale funding and two financial crises

We use financial information on banks from Asia, Europe, North America and Oceania to examine the role of wholesale funding on the transmission of financial crises to bank lending, as well as to study the response of financial institutions in different regions during the crises. We consider the role of wholesale funding during the Global Financial Crisis (GFC) and Asian Financial Crisis (AFC). Our results suggest that during the GFC, wholesale funding dependence had a negative effect on loans growth across regions, but with substantial regional heterogeneity. The growth of loans from financial institutions in Asia and Europe was consistently sensitive to wholesale funding dependence. Although wholesale funding did not play a significant role in the transmission mechanism of the AFC, a subsample of financial institutions in Asia, who depended more heavily on wholesale funding, experienced a faster loan growth and may have been able to better withstand the crisis.