Estimating Economic Value and Compensation Surplus of Animal Species in Arasbaran Forests Using Choice Experiment Method

2020 ◽  
pp. 109-123
Author(s):  
Maryam Haghjou ◽  
Babollah Hayati ◽  
Esmaeil Pishbahar ◽  
Morteza Molaei
Keyword(s):  
Choice Experiment ◽  
Animal Species ◽  
Economic Value ◽  
Experiment Method

Economic valuation of recreational attributes using a choice experiment approach: An application to the Galapagos Islands

2019 ◽  
pp. 135481661988523 ◽  
Author(s):  
Renato Perez Loyola ◽  
Erda Wang ◽  
Nannan Kang
Keyword(s):  
Optimum Condition ◽  
Choice Experiment ◽  
National Park ◽  
Animal Species ◽  
Stated Preference ◽  
Economic Valuation ◽  
Economic Value ◽  
Nonmarket Valuation ◽  
Tourism Industry ◽  
Present Condition

Despite the increasing number of visitors to Galapagos National Park, the tourism industry pays little attention to the distinct preferences of tourists toward park attributes, including both its natural resources and managerial emphasis. To “monetize” the benefits of these attributes requires utilizing nonmarket valuation techniques. Using a stated preference questionnaire, we estimated the economic value of the park’s recreational attributes. The following five attributes were selected: endangered species, prevalence of garbage, site infrastructure, air quality, and entrance fees. The results of this study demonstrate that tourists place the highest willingness to pay values on increased protection of animal species (US$26.9) and garbage reduction (US$111.2). These results highlight the economic contributions for park management, with a potential for value improvement of US$38.1 per tourist if the park’s combined attributes are upgraded from the present condition to the optimum condition.

The Value of Private Non-Industrial Forestland for Wildlife Species Conservation

EDIS ◽  
2017 ◽  
Vol 2017 (3) ◽  
Author(s):  
Shelly A. Johnson ◽  
Timm Kroeger ◽  
Josh Horn ◽  
Alison E. Adams ◽  
Damian C. Adams
Keyword(s):  
Animal Species ◽  
Human Life ◽  
Economic Value ◽  
Species Conservation ◽  
Fact Sheet ◽  
Monetary Value ◽  
Wildlife Species ◽  
Wildlife Viewing ◽  
Animal Habitat

Animals in Florida provide a variety of benefits to people, from recreation (fishing, hunting, or wildlife viewing) to protection of human life and property (oysters and corals provide reef structures that help protect coasts from erosion and flooding). By measuring the economic value of these benefits, we can assign a monetary value to the habitats that sustain these species and assess the value that is lost when development or other human-based activities degrade animal habitat. This 5-page fact sheet presents the results of a study that assessed the value of protecting five animal species in Florida and showed the economic value of protecting animal habitat.

Demand and supply of agricultural ES: towards benefit-based policy

2020 ◽  
Vol 47 (3) ◽  
pp. 1223-1249 ◽  
Author(s):  
Annika Tienhaara ◽  
Emmi Haltia ◽  
Eija Pouta ◽  
Kyösti Arovuori ◽  
Ioanna Grammatikopoulou ◽  
...  
Keyword(s):  
Water Quality ◽  
Ecosystem Services ◽  
Environmental Policy ◽  
Willingness To Pay ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Willingness To Accept ◽  
Demand And Supply ◽  
Experiment Method ◽  
Almost All

Abstract In order to integrate ecosystem services (ES) in designing agri-environmental policy, we investigated both the demand for, and supply of, ES from agricultural environments in Finland. Using the discrete choice experiment method, we measured citizens’ willingness to pay (WTP) for four different ES and analysed farmers’ compensation request (willingness to accept [WTA]) for producing these services. Biodiversity and water quality gathered the highest WTA of farmers, but also the highest WTP of citizens. Overall, the average WTA exceeded the WTP for almost all attributes and levels, but 20–27 per cent of farmers were willing to produce the ES with the compensation lower than citizens’ WTP.

scholarly journals Choice-experiment-method-based research into the future improvement of Beijing’s urban forest

2019 ◽  
Vol 1 (1) ◽  
pp. 71-81
Author(s):  
Zheng Zhao ◽  
Yali Wen
Keyword(s):  
Choice Experiment ◽  
Urban Forest ◽  
Influence Factors ◽  
Beijing City ◽  
Content Type ◽  
Marginal Value ◽  
Developing Cities ◽  
Experiment Method ◽  
Marginal Values ◽  
The City

Purpose The purpose of this paper is to measure the influence factors of their preferences for urban forest, marginal values of various properties and relative values of different scheme portfolios, thus arriving indirectly at the city residents’ demand for urban forest improvement. Design/methodology/approach This paper, based on the data from the 2015–2017 field survey questionnaire of city residents over the radius of Beijing’s 5th Ring Road, uses the choice experiment method (CEM) to conduct a study of its residents’ demand for urban forest. Findings Beijing’s city residents are generally inclined to accept a relatively low payment of urban forest while hoping to access a relatively high urban afforestation coverage with the construction of relatively many city parks, especially focusing on the specialized park management; the marginal values of biodiversity and greenery coverage are far higher than those of greenbelts in quantity and the maximum marginal value of biodiversity remains as high as RMB29.42, indicating that the city residents do not favor much the number of greenbelts over other aspects but they generally hope to achieve a higher greenery coverage and a richer biodiversity. Research limitations/implications Generally speaking, what Beijing City needs most is not continuing the increase in the number of greenbelts, but engaging in the rational retrofit of its existing greenbelts and optimizing its urban forest structure. Originality/value This paper may provide reference for determining the city residents’ payment criteria for urban forest and will be of equally great significance to developing cities and their urban forest.

scholarly journals The Biggest Bang for the Buck: Valuation of Various Components of a Regional Promotion Campaign by Participating Restaurants

2014 ◽  
Vol 46 (2) ◽  
pp. 193-208 ◽  
Author(s):  
Ran Xie ◽  
Olga Isengildina-Massa ◽  
Carlos E. Carpio
Keyword(s):  
South Carolina ◽  
Willingness To Pay ◽  
Logit Model ◽  
Choice Experiment ◽  
Economic Value ◽  
Mixed Logit ◽  
Mixed Logit Model ◽  
Positive Economic ◽  
Level Of Satisfaction

This study examined how various components of the Certified South Carolina campaign are valued by participating restaurants. A choice experiment was conducted to estimate the average willingness to pay (WTP) for each campaign component using a mixed logit model. Three existing campaign components—Labeling, Multimedia Advertising, and the “Fresh on the Menu” program—were found to have a significant positive economic value. Results also revealed that the type of restaurant, the level of satisfaction with the campaign, and the factors motivating participation significantly affected restaurants' WTP for the campaign components.

Investigating demand for biofortified seeds in developing countries

2015 ◽  
Vol 5 (1) ◽  
pp. 24-43 ◽  
Author(s):  
Ekin Birol ◽  
Dorene Asare-Marfo ◽  
Bhushana Karandikar ◽  
Devesh Roy ◽  
Michael Tedla Diressie
Keyword(s):  
Developing Countries ◽  
Pearl Millet ◽  
Choice Experiment ◽  
Latent Class ◽  
Stated Preference ◽  
Significant Heterogeneity ◽  
Content Type ◽  
High Iron ◽  
First Choice ◽  
Experiment Method

Purpose – The purpose of this paper is to explore farmer acceptance of a biofortified staple food crop in a developing country prior to its commercialization. The paper focuses on the hypothetical introduction of a high-iron pearl millet variety in Maharashtra, India, where pearl millet is among the most important staple crops. Design/methodology/approach – A choice experiment is used to investigate farmer preferences for and trade-offs among various production and consumption attributes of pearl millet. The key pearl millet attributes studied include days it takes pearl millet to mature, color of the roti (flat bread) the grain produces, the presence of high-iron content (nutritional attribute), and the price of the pearl millet seed. Choice data come from 630 pearl millet-producing households from three purposefully selected districts of Maharashtra. A latent class model is used to investigate the heterogeneity in farmers’ preferences for pearl millet attributes and to profile farmers who are more or less likely to choose high-iron varieties of pearl millet. Findings – The results reveal that there are three distinct segments in the sample, and there is significant heterogeneity in farmer preferences across these segments. High-iron pearl millet is valued the most by larger households that produce mainly for household consumption and currently have lower quality diets. Households that mainly produce for market sales, on the other hand, derive lower benefits from consumption characteristics such as color and nutrition. Research limitations/implications – The main limitation of the study is that it uses a stated preference choice experiment method, which suffers from hypothetical bias. At the time of implementing this study biofortified high-iron pearl millet varieties were not yet developed, therefore the authors could not have implemented revealed preference elicitation methods with real products and payment. Originality/value – The method used (stated preference choice experiment method) is commonly used to value non-market goods such as environmental goods and products that are not yet in the market. It’s application to agriculture and in developing countries is increasing. As far as the authors know this is the first choice experiment implemented to investigate farmer/consumer preferences for biofortified crops. The study presents valuable information for development and delivery of biofortified crops for reducing micronutrient deficiencies.

Study on Preference for Watermelon using Discrete Choice Experiment Method

2019 ◽  
Vol 36 (3) ◽  
pp. 29-47
Author(s):  
Jong-San Choi ◽  
Dong-hean Jang ◽  
jung-gi kim ◽  
Ga Ok Cho ◽  
Chun Ho Song
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Experiment Method
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