Prepayment and future cross-buying: an exploratory analysis

Recent research has provided important insights on consumers’ preferences for prepayment mechanisms and on its impact on consumption of a given product or service. However, little is known about how prepayment influences future purchases of goods and services. We consider this question in a contractual setting within the services industry, involving different purchasing decisions over time. Based on a large-scale empirical test, we find that prepay customers make fewer changes to their cross-buying levels (i.e., the number of different services they buy from the company) from one contractual period to another, and that this effect is more salient for the firm's new customers. We propose possible explanatory mechanisms for this effect. For instance, based on mental budgeting theory, we suggest that prepayment customers may set mental budgets and track expenditures against this budget leading them to resist further investments. Alternatively, prepayment customers may be more certain about their consumption behavior leading to fewer changes over time.

     

Spot water markets and risk in water supply

Water availability patterns in semiarid regions are typically extremely variable. Even in basins with a highly developed infrastructure, users are subject to unreliable water supplies, incurring substantial economic losses during periods of scarcity. More flexible instruments, such as voluntary exchanges of water among users, can help users to reduce risk exposure. This article looks at the effects of spot water markets on the economic risk caused by water availability variations. Our theoretical and empirical risk analyses are based on the random profits of water users. Profit probability density functions are formally and graphically characterized for both water sellers and buyers under several possible market outcomes. We conclude from this analysis that, where water supply is stochastic, water markets unambiguously reduce both parties' risk exposure. The empirical study is conducted on an irrigation district in the Guadalquivir Valley (Southern Spain), where there is a high probability of periods of extreme water scarcity. Water demand functions for the district representative irrigators and a spatial equilibrium model are used to simulate market exchanges and equilibrium. This programming model is combined with statistical simulation techniques. We show that the profit probability distribution of a representative irrigator is modified if water exchanges are authorized, leading to risk reductions. Results also indicate that if the market were extended to several districts and users that are subject to varying hydrological risk exposure, extremely low‐profit events would be less likely to occur. In sum, we show that exchanging water in annual spot markets can reduce farmers' economic vulnerability caused by water supply variability across irrigation seasons. These results support the water policy reform carried out in Spain in 1999 to allow for voluntary water exchanges among right holders.     

Feeding management of dairy cattle affect grassland dynamics in an alpine pasture

The effect of different supplementary feeding rates for grazing cattle on high-altitude pastures dynamics was evaluated. A field experiment was carried out during three years in a subalpine pasture area of the Eastern Alps. The investigated pasture area was 40?ha, located between 1820 and 2230?m?a.s.l. Two paddocks were chosen in the experiment and two herds of 12 cattle each were kept in the two enclosures for 5 weeks. For the first herd (HS), the supplementary feeding rate was 4.8?kg?OM?head^?1 per day, while for the second herd (LS), the rate was 1.6?kg?OM?head^?1 per day. The amount of herbage consumed by each cattle was determined using the n-alkane technique. To monitor the pasture vegetation dynamics, eight metal exclusion cages were placed in each paddock to determine herbage growth, utilization rates, vegetation composition and animal grazing selectivity. Grazing behaviour of dairy cattle, in terms of herbage intake and species selection was affected by the different feeding rates. Cattle grazing Paddock HS consumed 1.9?kg?OM?day^?1 of herbage less than Paddock LS. In the LS paddock, cattle grazed higher phytomass rates. When the animals were fed by higher concentrate rates, a more selective grazing seemed to significantly increase the pasture necromass component. The lower grazing selectivity favoured the development of species as Nardus stricta and Deschampsia caespitosa, which are well known for their low palatability. Distinct vegetation dynamic patterns were observed, with a reduction of hair grass and an increase of legumes in the Paddock LS.     

Exports,imports and growth: New evidence on Italy: 1863–2004

The nexus between trade and economic growth in Italy has been widely debated by historiography. However, there are no long run analyses on this topic that cover the whole span from Unification to present days. This paper contributes to fill this gap by investigating the relationship between real exports, imports and GDP in Italy from 1863 to 2004 by using cointegration analysis and causality tests. The outcome suggests that these variables comove in the long run but the direction of causality varies across time. In the period prior to the First World War import growth led GDP growth that in turn led export growth. Conversely, in the post-Second World War period we have a strong bidirectionality between imports and exports consequent on the increase in intra-industry trade. We also find a weak support for export-led growth and growth-led imports. This suggests that exports were not the only or the main driver of economic growth. There was probably a multiplicity of factors at work, among which high rates of capital formation and the expansion of internal demand probably stood out.     

Assessment of meaningful change in routine outcome measurement (ROM) with a combination of a longitudinal and a ‘classify and count’ approach

To assess significant changes of health status in people receiving health care, distribution-based and anchor-based methods have been proposed. However, there is no real consensus on what method is the best for evaluating clinically meaningful change. To maximize the internal and external validity of outcome assessment, we propose combining two approaches as recommended by recent practical guidelines on this field. Specifically, we suggest applying longitudinal hierarchical linear models on subgroups of patients showing reliable change and reliable and clinically significant change. This combined approach improved the model’s ability (1) to quantify the magnitude of changes to be reliable and clinically meaningful and (2) to select significant predictors of changes. An empirical application on a prevalence sample of Italian outpatients attending four community mental health services was done. A cross-sectional model and three longitudinal models were applied on the entire study sample and reliable and clinically meaningful change subsamples to investigate the magnitude of change and the predictive effect on outcomes of clinical, socio-demographic and process variables on different patients’ subgroups. Differences were found suggesting that both the statistical method and the sample used to calculate individual changes affect the estimates. The main conclusion is that ignoring the longitudinal data structure or including patients with unreliable change at the follow-up might result in misleading inferences that can alter the real magnitude of changes and the contributions of predictors. The approach proposed provides robust feedback to clinicians on clinically significant change and can be recommended in outcome studies and research.     

ECONOMIC DEVELOPMENT,STRUCTURAL CHANGE AND NATURAL RESOURCE BOOMS: A STRUCTURALIST PERSPECTIVE

In this paper we present a structuralist two‐sector model on economic development, structural change and natural resource booms. We describe a multiple equilibria scenario, in which manufacturing development is the main source of economic progress. Natural resource booms, by modifying the productive structure of the economy, may set destabilizing forces. De‐industrialization processes may take place, confining developing countries in poverty traps. Public intervention in the economic sphere, both through short‐run macro policies and through long‐run development strategies, may help to free the economy from poverty traps and to foster the development process.     

Environmental strategy and exports in medium,small and micro-enterprises

Growing corporate internationalization and the emergence of environmental concerns are two of the main trends in the business world. This paper analyzes whether strategies for environmental protection can help small and medium enterprises (SMEs) as they internationalize their activities through exports. Personal interviews were conducted with 123 general managers of exporting SMEs from the Spanish food industry. The results show a relationship between advanced environmental strategies and export intensity for the sampled firms. However, the size of firm plays a role in this relationship, as the relationship between advanced environmental strategies and exports is stronger with an increase in the size of the SMEs. Authors discuss implications of these results for practitioners and future research.     

Deregulation and environmental differentiation in the electric utility industry

This paper analyzes how economic deregulation impacts firm strategies and environmental quality in the electric utility industry. We find evidence that the deregulation introduced to this historically staid industry has stimulated environmental differentiation. Differentiation is most likely to appear where its point of uniqueness is valued by customers, and we confirm this relationship in our sample. Specifically, utilities that served customers who exhibited higher levels of environmental sensitivity generated more ‘green’ power. The tendency for firms to differentiate in this way is lessened if they are relatively more dependent on coal‐fired generation or relatively more efficient. Thus, there is evidence that firms sort themselves into either differentiation or low‐cost strategies as the competitive realities of a deregulated world unfold. Deregulation and the ensuing environmental differentiation illustrate how utilities exploited formerly unmet customer demand for green power. The result has been greater levels of renewable generation and, hence, a cleaner environment. Copyright © 2007 John Wiley & Sons, Ltd.     

The ECB's New Multi-Country Model for the euro area: NMCM — Simulated with rational expectations

The model presented here is an estimated medium-scale New Multi-Country Model (NMCM) which covers the five largest euro area countries and is used for forecasting and scenario analysis at the European Central Bank. The model has a tight theoretical structure which allows for non-unitary elasticity of substitution, non-constant augmenting technical progress and heterogeneous sectors with differentiated price and income elasticities of demand across sectors. Furthermore, it has the explicit inclusion of expectations on the basis of three optimising private sector decision making units: i.e. firms, trade unions and households, where output is in the short run demand-determined and monopolistically competing firms set prices and factor demands. Labour is indivisible and monopoly-unions set wages and households make consumption/saving decisions.We assume that agents optimise under limited information where each agent knows only the parameters related to his/her optimisation problem. Therefore we estimate with GMM, which implicitly assumes limited information boundedly rational expectations. In this paper we provide some simulation results under the assumption of model-consistent rational expectations, we show that there is some heterogeneity across countries and that the reactions of the economies to shocks depend strongly on whether the shocks are pre-announced, announced and credible or unannounced and uncredible.