An assessment of willingness to pay to avoid climate change induced flood

2014 ◽  
Vol 5 (4) ◽  
pp. 569-577 ◽  
Author(s):  
Rohini Prasad Devkota ◽  
Tek Narayan Maraseni ◽  
Geoff Cockfield

Flood risk analysis provides a rational for the appraisal of policy options for the decision makers. In this paper, by employing referendum method and face to face questionnaire surveys for 210 households in West Rapti River in Nepal, the willingness to pays (WTPs) to avoid four climate change-induced flood scenarios were assessed. Differences on WTPs among age, sex and education groups were analysed, and correlation between WTPs and different types of incomes and flood related damage costs were tested. The WTP was lowest for age group below 35 and it was highest for the age group 35–44. Females suffered more from flood than males and hence their average annual WTP was higher than male's average. Similarly, the average WTP was higher for literate then illiterate people in all flood scenarios. The average annual WTPs were statistically significantly (p < 0.05) positively correlated with annual total income, farm income, livestock income and flood-related damage costs. The level of WTPs estimated in this study would be helpful for formulating flood-related policy and plan, prioritising investment and implementation of the programmes.

Author(s):  
Charlotte Till ◽  
Jamie Haverkamp ◽  
Devin White ◽  
Budhendra Bhaduri

Climate change has the potential to displace large populations in many parts of the developed and developing world. Understanding why, how, and when environmental migrants decide to move is critical to successful strategic planning within organizations tasked with helping the affected groups, and mitigating their systemic impacts. One way to support planning is through the employment of computational modeling techniques. Models can provide a window into possible futures, allowing planners and decision makers to test different scenarios in order to understand what might happen. While modeling is a powerful tool, it presents both opportunities and challenges. This paper builds a foundation for the broader community of model consumers and developers by: providing an overview of pertinent climate-induced migration research, describing some different types of models and how to select the most relevant one(s), highlighting three perspectives on obtaining data to use in said model(s), and the consequences associated with each. It concludes with two case studies based on recent research that illustrate what can happen when ambitious modeling efforts are undertaken without sufficient planning, oversight, and interdisciplinary collaboration. We hope that the broader community can learn from our experiences and apply this knowledge to their own modeling research efforts.


Author(s):  
Ritu Gupta ◽  
Ravinder K Gupta ◽  
Vallabh Dogra ◽  
Himani Badyal

Objective: To study the various beliefs and problems regarding menstruation among adolescent girls living in rural border areas. Design- Prospective study. Setting- Pediatric outpatient clinic. Materials and methods- About 200 adolescent girls (11-19 years) living in rural border areas were enrolled for the study. These girls were asked about menarche, duration of the cycle, amount of blood loss and the various menstrual problems. They were also asked about the various beliefs and myths regarding menstruation. The girls having any illness affecting the menstrual cycle or those suffering from neuropsychiatric disorders were excluded from this study. Results- About 51% of the study population was in the age group 17-18 years. About 43.5% of girls attained menarche at the age of 10-12 years. About 51% of girls did not know about menstruation before menarche. Abdominal pain was the most common side effect seen in 41% of girls during menstruation. About 61% of girls considered themselves unclean during menstruation.  Twenty percent avoided schools, 20% avoided kitchen, 12% avoided temples while 10% stayed away from friends/ relatives. Only 33% of girls knew that menstruation stops temporarily after becoming pregnant. Twenty-two percent girls were using sanitary napkins while the rest used different types of clothes during the menstrual cycle. Conclusion- There is a dire need to educate girls regarding menstruation before menarche in the rural border areas. Every mother should discuss in a friendly way regarding various aspects of menstruation.


2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Anthony KOLA-OLUSANYA

As soon as decision makers are expected to make differences towards sustainable future, young adults’ ability to make informed and sound decisions is considered essential towards securing our planet. This study provides an insight into young adults’ knowledge of key environment and sustainability issues. To answer the key research questions, data were obtained using a qualitative phenomenographic research approach and collected through 18 face-to-face in-depth interviews with research participants. The findings of this study suggest that young adults lived experiences that play a huge role in their level of awareness of topical environmental and sustainability issues critical to humanity’s future on earth. 


Author(s):  
Eugen Pissarskoi

How can we reasonably justify a climate policy goal if we accept that only possible consequences from climate change are known? Precautionary principles seem to offer promising guidelines for reasoning in such epistemic situations. This chapter presents two versions of the precautionary principle (PP) and defends one of them as morally justifiable. However, it argues that current versions of the PP do not allow discrimination between relevant climate change policies. Therefore, the chapter develops a further version of the PP, the Controllability Precautionary Principle (CPP), and defends its moral plausibility. The CPP incorporates the following idea: in a situation when the possible outcomes of the available actions cannot be ranked with regard to their value, the choice between available options for action should rest on the comparison of how well decision makers can control the processes of the implementation of the available strategies.


Author(s):  
Sabrina R Raizada ◽  
Natasha Cleaton ◽  
James Bateman ◽  
Diarmuid M Mulherin ◽  
Nick Barkham

Abstract Objectives During the COVID-19 pandemic, face-to-face rheumatology follow-up appointments were mostly replaced with telephone or virtual consultations in order to protect vulnerable patients. We aimed to investigate the perspectives of rheumatology patients on the use of telephone consultations compared with the traditional face-to-face consultation. Methods We carried out a retrospective survey of all rheumatology follow-up patients at the Royal Wolverhampton Trust who had received a telephone consultation from a rheumatology consultant during a 4-week period via an online survey tool. Results Surveys were distributed to 1213 patients, of whom 336 (27.7%) responded, and 306 (91.1%) patients completed all components of the survey. Overall, an equal number of patients would prefer telephone clinics or face-to-face consultations for their next routine appointment. When divided by age group, the majority who preferred the telephone clinics were <50 years old [χ2 (d.f. = 3) = 10.075, P = 0.018]. Prevalence of a smartphone was higher among younger patients (<50 years old: 46 of 47, 97.9%) than among older patients (≥50 years old: 209 of 259, 80.7%) [χ2 (d.f. = 3) = 20.919, P < 0.001]. More patients reported that they would prefer a telephone call for urgent advice (168, 54.9%). Conclusion Most patients interviewed were happy with their routine face-to-face appointment being switched to a telephone consultation. Of those interviewed, patients >50 years old were less likely than their younger counterparts to want telephone consultations in place of face-to-face appointments. Most patients in our study would prefer a telephone consultation for urgent advice. We must ensure that older patients and those in vulnerable groups who value in-person contact are not excluded. Telephone clinics in some form are here to stay in rheumatology for the foreseeable future.


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 371
Author(s):  
Kevin Pello ◽  
Cedric Okinda ◽  
Aijun Liu ◽  
Tim Njagi

The environmental effects of climate change have significantly decreased agricultural productivity. Agroforestry technologies have been applied as a solution to promote sustainable agricultural systems. This study evaluates the factors influencing the adoption of agroforestry technology in Kenya. A multistage sampling technique was employed to collect data from 239 households in West Pokot County, Kenya. A Probit model and K-means algorithm were used to analyze the factors affecting farmers’ agroforestry technology adoption decisions based on the sampled households’ socio-economic, demographic, and farm characteristics. The study found that the total yield for maize crop, farm size, extension frequency, off-farm income, access to training, access to credit, access to transport facilities, group membership, access to market, gender, distance to nearest trading center, and household education level had significant effects on the adoption of agroforestry technologies. The findings of this study are important in informing policy formulation and implementation that promotes agroforestry technologies adoption.


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1385
Author(s):  
Irais Mora-Ochomogo ◽  
Marco Serrato ◽  
Jaime Mora-Vargas ◽  
Raha Akhavan-Tabatabaei

Natural disasters represent a latent threat for every country in the world. Due to climate change and other factors, statistics show that they continue to be on the rise. This situation presents a challenge for the communities and the humanitarian organizations to be better prepared and react faster to natural disasters. In some countries, in-kind donations represent a high percentage of the supply for the operations, which presents additional challenges. This research proposes a Markov Decision Process (MDP) model to resemble operations in collection centers, where in-kind donations are received, sorted, packed, and sent to the affected areas. The decision addressed is when to send a shipment considering the uncertainty of the donations’ supply and the demand, as well as the logistics costs and the penalty of unsatisfied demand. As a result of the MDP a Monotone Optimal Non-Decreasing Policy (MONDP) is proposed, which provides valuable insights for decision-makers within this field. Moreover, the necessary conditions to prove the existence of such MONDP are presented.


Author(s):  
Robert C. Schmidt

AbstractIn this short paper, I look back at the early stages of the Corona crisis, around early February 2020, and compare the situation with the climate crisis. Although these two problems unfold on a completely different timescale (weeks in the case of Corona, decades in the case of climate change), I find some rather striking similarities between these two problems, related with issues such as uncertainty, free-rider incentives, and disincentives of politicians to adequately address the respective issue with early, farsighted and possibly harsh policy measures. I then argue that for complex problems with certain characteristics, it may be necessary to establish novel political decision procedures that sidestep the normal, day-to-day political proceedings. These would be procedures that actively involve experts, and lower the involvement of political parties as far as possible to minimize the decision-makers’ disincentives.


1979 ◽  
Vol 11 (1) ◽  
pp. 101-105
Author(s):  
B. R. Eddleman ◽  
J. E. Moya-Rodriguez

Many decisions made by farm producers are based on expectations. The process of formulating and incorporating these expectations into decision making is difficult when high variability occurs in product prices, crop yields, production costs, or other factors affecting net income. Farm producers may be influenced by a number of goals in selecting combinations of crops to produce and marketing outlets for the crops. Two goals generally held to be important to farm decision makers are maximization of net income and net income stability. Given the price, yield, and cost of production variability characteristics of a farm enterprise and these two goals of farm decision makers, a fundamental problem is to determine what combination of alternative marketing actions can best satisfy the two objectives. A systematic examination of the relationship between the level of net income and net income variability for combinations of marketing alternatives would aid farmers in deciding on marketing actions to attain these goals.


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