Do satisfying walking and cycling trips result in more future trips with active travel modes? An exploratory study

Previous studies have indicated that travel satisfaction - the experienced emotions during, and cognitive evaluation of, a trip - can be affected by travel mode choice and other trip characteristics. However, as satisfactory trips might improve a person's attitude towards the used mode, persons may be more likely to use that same mode for future trips of the same kind. Hence, a cyclical process between travel mode choice and travel satisfaction might occur. In this paper we begin to analyse this process—using a structural equation modelling approach on cross-sectional data—for people who engage in walking and cycling for leisure trips in the Belgian city of Ghent. The focus on walking and cycling reflects recent studies indicating that active travel is often associated with the highest levels of travel satisfaction. Results of this exploratory analysis offer tentative support for the idea of a cyclical process: the evaluation of walking and cycling trips positively affects the respondents' attitude towards the respective mode, which in turn has a positive effect on choosing that mode.     

Why are REITS Currently So Expensive?

Over the last several years, the price of listed real estate stocks has been unusually high relative to dividends. I find that neither low interest rates nor low risk premia can account for the high valuation ratios. Lower interest rates have been offset by rising risk premia to keep expected returns close to average. Instead, the market has priced in future income growth on commercial properties far above the growth rates seen in the data. High implied growth rates are less extreme for nontraditional REIT sectors. Income growth expectations are also less extreme for international listed real estate.     

U.S. House Prices over the Last 30 Years: Bubbles,Regime Shifts and Market (In)Efficiency

This paper studies U.S. house prices across 45 metropolitan areas from 1980 to 2012. It applies a version of the Gordon dividend discount model for long‐run “fundamentals” and uses Mean Group and Pooled Mean Group estimation to estimate long‐run and short‐run determinants of house prices. We find great similarity across cities in that the long‐run house prices are largely explained by the same fundamentals; the long‐run rent to price ratio is approximately 5% plus 0.75 times the real interest rate (which is on the order of 2%). However, adjustments to deviations from the fundamentals are slow, in the long‐run, closing the gap at a rate of around 10% per year. We find sharp differences in short‐run adjustments (momentum) away from the fundamentals across cities, and the differences are correlated with local supply elasticities (more momentum with lower elasticity). Analysis of residuals suggests strong cyclical deviations, which are mean‐reverting.     

Farmland for tomorrow in densely populated areas

The paper describes the results of a research that aimed to come up with a well structured method to estimate future farmland requirements in densely populated areas. By using in depth interviews, scenario analysis and strategic orientation rounds, a method is developed to support policy optimization and to explore alternative future developments. The method is applied to the case of agriculture in the Flemish part of Belgium to show the feasibility of the model and to provide input for the discussion among policy makers in Flanders. The research results can be used by policy makers to build a new Spatial Plan Flanders for the period 2007–2013.     

Raising offtake from cattle grazed on natural rangelands in sub-Saharan Africa: a transaction cost economics approach

Farmers in sub‐Saharan Africa are constrained by large transaction costs associated with marketing of their livestock. However, transaction costs are often not taken into account in the analysis of factors hampering the development of livestock marketing in this region. This article empirically measures the influence of transaction costs on the offtake from cattle grazed on natural rangelands in Uganda. The study is based on the monitoring of 696 cattle transactions in three districts of Uganda from August 2004 to August 2005. The estimated models suggest that proportional transaction costs represented by the state of roads, distance to markets, and time taken to reach the market are important variables constraining market participation. In order to raise offtake from the national herd, it is essential to explicitly address these costs. One potential solution is collective action in marketing of livestock in which proportional and fixed transaction costs are reduced and shared among the group members.     

Non‐Parametric Modelling of CO2 Emission Quota

Dutch glasshouse firms are facing the introduction of a system of tradable CO₂ emission quotas. This paper employs a non‐parametric method for modelling tradable CO₂ emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO₂ emissions across the sample of firms. Moreover, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO₂ emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

Influence of livelihoods on climate change adaptation for smallholder farmers in the Mekong Delta Vietnam

Farmers in the Vietnamese Mekong Delta face a wide range of climate-related and hydrological factors which threaten rice production. Smallholder farmers must adapt to climate change to sustain rice production as their central and most important livelihood activity. A sample was stratified across agro-ecological areas in the Delta affected by flooding, alluvial soils, acid sulphate soils, and saline water intrusion and by derived farmer typologies. A rural livelihoods approach was used in focus group discussions and in-depth interviews to identify and enumerate enabling and constraining adaptation factors. Smallholders experienced diverse natural hazards such as floods, abnormal rains, high temperatures, water scarcity, and salinity intrusion specific to the agro-ecological areas. Adaptation was constrained by labour shortages, water quality, topography, access to combine harvesters, transportation infrastructure, dryers and household savings. Adaptation was enabled by farming techniques and experience, cooperative groups, water quantity, access to information, and ability to purchase agro-chemicals through credit. Small farmers (< 1?ha) were more constrained than large farmers (> 1?ha) who had an expanded livelihood asset base. A range of policy implications are discussed, but adaptation is not just about technological fixes but requires overall improvements in a range of human, social and financial components.     

Modeling farmers’ decisions on tea varieties in Vietnam: a multinomial logit analysis

This article analyzes households’ choice on tea varieties in Vietnam by using a multinomial logit model. The modeling takes into account the issue of unobserved individual heterogeneity and the endogeneity of some explanatory variables (use of chemical and organic fertilizers). The results show that important factors influencing the decision to adopt one type of tea varieties include income, age, household size, farming contract, and use of organic fertilizers, but also membership of professional associations such as the Tea Association and the Farmers Union.     

Adoption of Online Grocery Shopping: Personal or Household Characteristics?

This article analyzes how sociodemographic characteristics impact the adoption of online grocery shopping, and relies on the Motivation-Opportunity-Ability (MOA) model to explore what these sociodemographics actually capture and how they are linked with consumer motivations. The researchers exploit a survey among 468 customers of Belgian supermarket chain Colruyt. Their logistic regression shows that while variables at the personal level do affect adoption of the online channel, consumers’ motivations to adopt in fact lie on the household level. In particular, the effect of age disappears or becomes less strong when it is combined with household characteristics. An examination of respondents’ self-reported motivations confirms that age does not only capture a person’s ability to use the technology but also its usefulness for that person’s household, in that age is correlated with the presence of young children and the working situation in the household.