136 research outputs found

    Benefit Transfer over Time of Ecosystem Values: the Case of Forest Recreation

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    We conduct a functional benefit transfer over 20 years of total willingness to pay based on car-borne forest recreation in 52 forests, using a mixed specification of a random utility model and geographic information systems to allow heterogeneous preferences across the population and for heterogeneity over space. Results show that some preferences of forest attributes, such as species diversity and age, as well as transport mode have changed significantly over the period. Updating the transfer model with present demand for recreation improves the error margins by an average of 182%. However, average errors of the best transfer model remain 145%.random utility model, value transfer over time, recreation, GIS

    Du sætter pris på natur, når du går en tur

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    A bio-economic analysis of a sustainable agricultural transition using green biorefinery

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    Traditional pig production often relies on cereal-based feed, which has adverse environmental effects, e.g. nitrogen leaching and greenhouse gas (GHG) emissions. Alternative production systems are therefore sought to improve the sustainability of pig production. A promising alternative is to use proteinaceous feed from grass, produced in a green bio-refinery (GBR), to substitute part of the cereals in the feed. Cultivation of grass on arable land can reduce nitrogen leaching and pesticide application, and increase carbon storage. The GBR using grass as feedstock also produces valuable byproducts, e.g. fibre and biogas. In this study we combine a life-cycle analysis (LCA) and a cost-benefit analysis to compare the economic and environmental effects of producing the pig feed to produce 1 ton of pork using two feeding systems. We apply this approach to the intensive Danish pork production as a case study. The results show that compared with traditional cereal-based feeding system for producing a ton of pork, using proteinaceous concentrate from small-scale GBR will (1) decrease the average feed cost by 5.01%; (2) produce a profit of 96 € before tax in the GBR; and (3) decrease the nitrogen leaching (NO3-N) by 28.2%. However, in most of the scenarios (except for G2), the nitrogen emissions into the air (N2O-N) will also increase because of the increased N fertilizer application compared to a cereal-based system. In most of the scenarios (except for S1 and G1), the energy and land use will also be saved. However, some important factors, e.g. the soil characteristics, pressed juice fraction in fresh biomass and scale of GBR, could subvert the conclusion about energy and land use saving in the alternative feeding system

    Valuing Water Service Improvements through Revealed Preference: Averting Behaviour Method

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    Access to quality and adequate water supply is a basic need to sustain human life. Health risk of unsafe drinking water is a serious issue in many poor and underserved communities in developing countries. Therefore, the improvements of the health status of the people are considered as one of the main justifications of promoting investment in water infrastructure. People take a number of coping strategies for water service improvement and the expenditures on such measures implicitly reflect their preferences for water service improvements. This paper leads to estimation of the benefits of water service improvements using the Averting Expenditure Method. This study examines the determinants of averting actions and the prevailing health impacts using the Probit models aiming to examine why some households practice averting measures and have experienced with health impacts while others not. Study found that the respondent’s socio-economic attributes significantly determine the choice of averting behaviours. Then this study calculates the monitory values of number of averting measures and it was found that the mean averting expenditures of the household are Rs. 577 and Rs,. 740 per month respectively the households connected to the system and un-connected to the system. piped households spending an average about Rs. 500 per month as a damage cost of water related health impacts which is unseen but part of the real cost of lack of access to good quality water supply. Study conclude that the WTP estimates are much higher than the payments for existing piped schemes hence cost of clean and consistent water supply could be finance through a user payment scheme

    Auction mechanisms for setting aside forest for biodiversity

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    Assessing Vulnerability to Climate Change in Dryland Livelihood Systems:Conceptual Challenges and Interdisciplinary Solutions

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    Over 40% of the earth's land surface are drylands that are home to approximately 2.5 billion people. Livelihood sustainability in drylands is threatened by a complex and interrelated range of social, economic, political, and environmental changes that present significant challenges to researchers, policy makers, and, above all, rural land users. Dynamic ecological and environmental change models suggest that climate change induced drought events may push dryland systems to cross biophysical thresholds, causing a long-term drop in agricultural productivity. Therefore, research is needed to explore how development strategies and other socioeconomic changes help livelihoods become more resilient and robust at a time of growing climatic risk and uncertainty. As a result, the overarching goal of this special feature is to conduct a structured comparison of how livelihood systems in different dryland regions are affected by drought, thereby making methodological, empirical, and theoretical contributions to our understanding of how these types of social-ecological systems may be vulnerable to climate change. In introducing these issues, the purpose of this editorial is to provide an overview of the two main intellectual challenges of this work, namely: (1) how to conceptualize vulnerability to climate change in coupled social-ecological systems; and (2) the methodological challenges of anticipating trends in vulnerability in dynamic environments.</p
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