Inter-basin water transfers under uncertainty: Storage capacity and optimal guaranteed deliveries

This paper deals with water transfers between jurisdictions not claiming riparian rights to the same water source, and taking place through straightforward sales. Taking into account the uncertain nature of water surpluses, we investigate, within a partial equilibrium framework, the implications of a third party's provision of storing facilities upon the potential supplier's decision whether, and to what extent, it is worthwhile to guarantee a constant amount of water exports. The analysis suggests that there exists a minimum storage capacity below which the potential supplier will never find it profitable to divert a constant amount of water outside his boundaries; the greater the uncertainty about future surpluses and/or internal costs due to even occasional water shortages resulting from the water export commitment, the higher the required minimum storage capacity will be. Above this minimum, an increase in the capacity would be better for the surplus agent, but in a situation in which water surplus is expected to decrease over time, increases in storage capacity would make him willing to guarantee a smaller amount of water deliveries.This work has been carried out under the auspices of the European Science Foundation's research program Sharing fresh water resources in the Mediterranean region: An economic perspective. Previous versions have been presented at ESF workshops held at the Universities of Haifa, Padova and Crete. Financial support from MURST (funds 40% — 1992) is gratefully acknowledged. We wish to thank Nunzio Cappuccio, Haluk Akdogan, Karl Mäler, Mordechai Shechter, Naomi Zeitouni, and two anonimous referees for helpful comments. The usual disclaimer applies.     

A Disaggregated Econometric Model Based on Flexible Functional Forms

This paper introduces an econometric input—output model for Western Germany in a disaggregation of 12 commodities and sectors. The ‘Jorgenson’-type equilibrium model is based on flexible functional forms on the supply and on the demand side of the commodity markets. For intermediate demand, the relationship between the translog function and its special cases—the Cobb-Douglas function— is exploited. Prices and production are endogenized by market-clearing conditions. The fully integrated model also endogenizes capital accumulation, a rudimental govern-ment budget and income distribution, as well as wages and labour demand on rationed labour markets. The results of a dynamic ex post simulation show that the model is able to depict the sectoral economic development in Germany in the sample period from 1970 to 1986.     

Give peas a chance: Transformations in food consumption and production systems

Food production chains can be organised in a variety of ways. Conventional ‘industrial’ agricultural practices are based on advanced breeding techniques and major inputs of chemical fertilisers and pesticides. Food produced in this way is transport-intensive, requires high-energy processing, relies on modern retailing systems and demands high-tech kitchens. Many argue that the industrialised systems should be dismantled and replaced with alternative methods of agriculture, food processing and distribution that emphasise social and environmental sustainability. This paper looks at the environmental and social sustainability of different strategies for food systems by analysing the whole chain of production, processing, distribution and consumption activities of the production of frozen peas, a vegetable that is ‘symbolic’ of modern food systems and the UK diet.     

旅游景区电子解说系统发展初探

随着旅游的发展,旅游解说系统在景区的作用日益引起人们的注意,而电子旅游解说系统的出现,使看起来简单的解说系统融入了科技的因素。文章分析了电子解说系统的现状及与传统解说系统的区别,在此基础上提出了策划的原则及要素,为景区发展电子解说系统提供了借鉴。     

Affection not affliction: The role of emotions in information systems and organizational change

Most IS research in both the technical/rational and socio-technical traditions ignores or marginalizes the emotionally charged behaviours through which individuals engage in, and cope with the consequences of, IS practice and associated organizational change. Even within the small body of work that engages with emotions through particular conceptual efforts, affections are often conceived as a phenomenon to be eradicated – an affliction requiring a cure. In this paper, I argue that emotions are always implicated in our lived experiences, crucially influencing how we come to our beliefs about what is good or bad, right or wrong. I draw from the theoretical work of Michel Foucault to argue for elaborating current notions of IS innovation as a moral and political struggle in which individuals’ beliefs and feelings are constantly tested. Finally, I demonstrate these ideas by reference to a case study that had considerable emotional impact, and highlight the implications for future work.     

Policy lessons from spatiotemporal enrollment patterns of payment for ecosystem service programs in Argentina

Payment for ecosystem services schemes (PES) are lauded as a market-based solution to curtail deforestation and restore degraded ecosystems. However, PES programs often fail to conserve sites under strong long-term deforestation pressures. Underperformance, in part, is likely due to adverse selection. Spatial adverse selection occurs when landowners are more likely to enroll parcels with low deforestation pressure than parcels with high deforestation pressure. Temporal adverse selection arises when parcels are enrolled for short time periods. In both cases, financial resources are allocated without having a sizeable impact on long-term land use change. Improving program performance to overcome these shortcomings requires understanding attributes of landowners and their parcels across large scales to identify spatial and temporal enrollment patterns that drive adverse selection. In this paper, we examine these patterns in Argentina’s PES program in Chaco forest, a global deforestation hotspot. Our study area covers 252,319 km². Results from multinomial logistic regression models showed that large parcels of enrolled land and parcels owned by absentee landowners exhibit greater evidence of spatiotemporal adverse selection than smaller parcels or parcels owned by local landowners. Furthermore, parcels managed under land use plans for conservation and restoration are more likely to be associated with adverse selection than parcels managed for financial returns such as harvest of non-timber forest products, silviculture, and silvopasture. However, prior to recommending that PES programs focus on land uses with higher potential earnings, a greater understanding is needed of the degree to which these land uses meet ecological and biodiversity goals of PES programs. We suggest that increased spatial targeting of enrollment, along with enrollment of local landowners and further incentives for land uses that support conservation and restoration, could promote long-term conservation of forest lands.     

Does the spatial representation affect criteria weights in environmental decision-making? Insights from a behavioral experiment

The need and interest to consider cognitive and motivational biases has been recognized in different disciplines (e.g. economics, decision theory, risk analysis) and has recently reached environmental decision-making. Within this domain, the intrinsic presence of a spatial dimension of both alternatives and criteria calls for the use of maps throughout the decision-making process to properly represent the spatial distribution of the features under analysis. This makes spatial Multi Criteria Decision Analysis (MCDA) a particularly interesting domain to explore new dimensions of cognitive biases. This study proposes a behavioral experiment aimed at discovering to what extent the spatial visualization (i.e. maps) of criteria versus the non-spatial one (i.e. tables) can bias the weight elicitation phase of a spatial MCDA process. The experiment simulates a very common analysis in environmental and land use planning: land suitability analysis. Our findings show that there are significant consequences on how important we perceive a certain criterion to be, depending on whether it is represented as a map or as a table among a mix of maps and tables. Indeed, the map representation of the same criterion leads to higher weights attributed to that criterion compared to the table representation. Visualizing the same information as a map or as a table, although technically equivalent, is thus not psychologically equivalent for Decision Makers. The results of this experiment are expected to have implications for spatial decision-making processes, by generating better awareness on the impacts of map-mediated land suitability analysis.     

Pathways for a future cadastral system: A socio-technical approach

A vast array of trends and innovations, such as drones and person-to-person trust solutions, have been proposed to revolutionize the task of recording land and property rights. There is, however, a gap in current research regarding how to approach systematically the future(s) of cadastral systems. This paper introduces socio-technical transitions theory and multi-level perspective (MLP) framework in particular as a way to structure potential pathways for cadastral systems. The approach emphasizes the role of institutional rules of the game – the regulative, normative and cognitive institutional elements – in socio-technical transition processes. Using the Finnish cadastral system as a case study, we illustrate the approach by forming three alternative transition pathways: (1) a cadastral system under digital transformation, (2) differentiating urban and rural cadastral systems, and (3) a cadastral system facing new data management challenges. After describing each transition pathway with a narrative storyline, we reflect them in light of previous discourses of the cadastral domain. Thereby, the study provides new insights into discussions about the future of cadastral systems and land administration in general.     

Does data matter? Statewide longitudinal data systems and student performance in the U.S.

Although many industries have benefited from advances in data-driven technology, education is making small steps in capitalizing on the huge potential of data systems. Since 2005, the U.S. Federal Government has been making large grants to help states build statewide longitudinal data systems (SLDS) with the goal of improving programme and teacher evaluation and engage in data-driven decision-making. We analyse whether the introduction of SLDSs improved student performance, measured using test scores for math and reading tests for 4th and 8th graders, as well as high school graduation rates. We find no effects of SLDSs on student performance up to 10 years from implementation. However, we find suggestive evidence that these systems may have long-run effects, emphasizing the long-run nature of educational data collection and policy analysis.