scholarly journals Revisiting the Boston data set - Changing the units of observation affects estimated willingness to pay for clean air

REGION ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 109
Author(s):  
Roger Bivand
Keyword(s):  
Willingness To Pay ◽  
Regional Science ◽  
Data Set ◽  
Value Analysis ◽  
Clean Air ◽  
House Value

In the extended topical sphere of Regional Science, more scholars are addressing empirical questions using spatial and spatio-temoral data. An emerging challenge is to alert “new arrivals” to existing bodies of knowledge that can inform the ways in which they structure their work. It is a particular matter of opportunity and concern that most of the data used is secondary. This contribution is a brief review of questions of system articulation and support, illuminated retrospectively by a deconstruction of the Harrison and Rubinfeld (1978) Boston data set and hedonic house value analysis used to elicit willingness to pay for clean air.

scholarly journals Redistributed manufacturing system under uncertain evaluation using multi criteria decision making

2021 ◽  
Vol 12 (3) ◽  
pp. 3895-3908
Author(s):  
Ponugupati Narendra Mohan Et.al
Keyword(s):  
Decision Making ◽  
Research Work ◽  
Dynamic Programming Algorithm ◽  
Big Data Analytics ◽  
Global Market ◽  
Programming Algorithm ◽  
Multi Criteria Decision Making ◽  
Firm Level ◽  
Data Set ◽  
Value Analysis

Man In recent day’s occurrence of a global crisis in Environmental (Emission of pollutants) and in Health (Pandemic COVID-19) created a recession in all sectors. The innovations in technology lead to heavy competition in global market forcing to develop new variants especially in the automobile sector. This creates more turbulence in demand at the production of new models, maintenance of existing models that are obsolete while implementation of Bharat Standard automobile regulatory authority BS-VI of India. In this research work developed a novel model of value analysis is integrated by multi-objective function with multi-criteria decision-making analysis by incorporating the big data analytics with green supply chain management to bridge the gap in demand to an Indian manufacturing sector using a firm-level data set using matrix chain multiplication dynamic programming algorithm and the computational results illustrates that the algorithm proposed is effective.

scholarly journals VALUASI EKONOMI EKOSISTEM MANGROVE DI WILAYAH PESISIR KABUPATEN MERAUKE

2016 ◽  
Vol 11 (2) ◽  
pp. 147 ◽  
Author(s):  
Maria MD Widiastuti ◽  
Novel Novri Ruata ◽  
Taslim Arifin
Keyword(s):  
Willingness To Pay ◽  
Economic Valuation ◽  
Economic Value ◽  
Mangrove Ecosystem ◽  
Use Value ◽  
Mangrove Forests ◽  
Value Analysis ◽  
Arafura Sea ◽  
Total Economic Value ◽  
The Government

Ekosistem mangrove mengalami tekanan dan penurunan jasa lingkungan diduga karena abrasi dan fenomena alam serta aktivitas masyarakat seperti penggalian pasir di pesisir pantai. Pemerintah telah melakukan upaya konservasi hutan mangrove dengan cara penanaman kembali, namun belum berhasil. Salah satu permasalahan adalah belum atau tidak adanya informasi nilai ekonomi mangrove sebagai dasar penentuan program konservasi. Penelitian ini bertujuan mengetahui nilai ekonomi ekosistem mangrove di pesisir Laut Arafura meliputi 3 distrik yaitu Malind, Merauke dan Naukenjerai. Metode yang digunakan yaitu TEV (Total Economic Value) yang terdiri dari analisis nilai guna langsung menggunakan harga pasar. Nilai guna tidak langsung dan nilai pilihan menggunakan benefit transfer. Nilai non guna yang terdiri dari nilai keberadaan dan nilai pewarisan menggunakan WTP (willingness to pay). Hasil penelitian menunjukkan bahwa nilai ekonomi hutan mangrove di kawasan pesisir pantai Laut Arafura per tahun sebesar Rp. 213.344.656.759,00 (213 Milyar Rupiah) atau setara dengan Rp. 21.075.240,00/ha/tahun atau setara dengan Rp. 8,6 juta rupiah per kepala keluarga. Title: Economic Valuation In The Coastal Mangrove Ecosystem District MeraukeEcosystem mangrove in Araufra Coastal had underpressure and decreasing environmental services because of abration as natural phenomena, and unsuistainable community activities such as digging sand on the coast. The Government has made the conservation of mangrove forests by replanting, but has not succeeded. One of the problems is not yet or absence of information about the economic value of mangroves as the basis for determining the conservation program. This study aims to determine the economic value of the mangrove ecosystem in the Arafura Sea coast in three districts: Malind, Merauke and Naukenjerai. The methodology using TEV (Total Economic Value) consisting of direct use value analysis using market prices. Indirect use values and the options value using the benefits transfer. Non-use value consist the existence and bequest value using WTP (willingness to pay). The result showed that the economic value of mangrove forests in the coastal regions of the Arafura Sea is Rp. 213.344.656.759,00 (213 billion rupiah per year) or equivalent with Rp. 21.075.240,00/ha/year, or equivalent with Rp. 8,6 million per household.

scholarly journals The Global Wind Resource Observed by Scatterometer

2020 ◽  
Vol 12 (18) ◽  
pp. 2920 ◽  
Author(s):  
Ian R. Young ◽  
Ebru Kirezci ◽  
Agustinus Ribal
Keyword(s):  
North Atlantic ◽  
Extreme Value Analysis ◽  
Data Set ◽  
Value Analysis ◽  
Wind Speeds ◽  
The North ◽  
Extreme Wind ◽  
Basin Scale ◽  
The North Atlantic ◽  
Wind Resource

A 27-year-long calibrated multi-mission scatterometer data set is used to determine the global basin-scale and near-coastal wind resource. In addition to mean and percentile values, the analysis also determines the global values of both 50- and 100-year return period wind speeds. The analysis clearly shows the seasonal variability of wind speeds and the differing response of the two hemispheres. The maximum wind speeds in each hemisphere are comparable but there is a much larger seasonal cycle in the northern hemisphere. As a result, the southern hemisphere has a more consistent year-round wind climate. Hence, coastal regions of southern Africa, southern Australia, New Zealand and southern South America appear particularly suited to coastal and offshore wind energy projects. The extreme value analysis shows that the highest extreme wind speeds occur in the North Atlantic Ocean with extreme wind regions concentrated along the western boundaries of the North Atlantic and North Pacific Oceans and the Indian Ocean sector of the Southern Ocean. The signature of tropical cyclones is clearly observed in each of the well-known tropical cyclone basins.

Pollution exposure and willingness to pay for clean air in urban China

2020 ◽  
Vol 261 ◽  
pp. 110174 ◽  
Author(s):  
Dong Guo ◽  
Anyi Wang ◽  
Alice Tianbo Zhang
Keyword(s):  
Willingness To Pay ◽  
Urban China ◽  
Clean Air ◽  
Pollution Exposure

The problem of heterogeneity between protected geographical indications: a meta-analysis

2018 ◽  
Vol 120 (12) ◽  
pp. 2843-2856 ◽  
Author(s):  
Daniel Leufkens
Keyword(s):  
Willingness To Pay ◽  
Meta Analysis ◽  
Data Set ◽  
Content Type ◽  
Marginal Willingness To Pay ◽  
Great Heterogeneity ◽  
Long Time ◽  
Heterogeneity Analysis ◽  
The Individual ◽  
First Time

Purpose For a long time the European geographical indication (GI) regulation has been of great interest to economists and policymakers. To justify exclusive European regulation it is necessary to prove the positive value of a GI quality signal (i.e. label), which is often achieved by quantifying its monetary value for the consumers. But even though a large number of literary contributions already deal with this question, they lack the evaluation of overall effect sizes for the GI label. The purpose of this paper is, therefore, to quantify and evaluate the overall marginal consumer willingness to pay for the European GI label. Design/methodology/approach To reach this aim, a meta-analysis is used for which a literature survey had been carried out in order to determine the GI label effects (LEs). In addition to previous works, this paper not only includes a meta-analysis, but also implements a heterogeneity analysis to distinguish between the LEs of individual GI standards. To eliminate study- and product-specific determinants of heterogeneity, moderator variables are used. Findings The empirical results indicate that consumers have a highly significant and positive marginal willingness to pay for GIs. However, the marginal willingness to pay differs significantly between the individual GI standards and indicates great heterogeneity between the protected products. Originality/value As an extension to previous studies and meta-analysis; this paper includes the most extensive GIs meta-data set so far, and conducts for the first time an independent heterogeneity analysis to distinguish between the LEs of individual GI standards and implements a moderator analysis to eliminate study- and product-specific determinants of heterogeneity from the GI effects.

Bias and Uncertainty in the Estimation of Extreme Wave Heights and Crests

2009 ◽  
Author(s):  
Richard Gibson ◽  
Colin Grant ◽  
George Z. Forristall ◽  
Rory Smyth ◽  
Peter Owrid ◽  
...  
Keyword(s):  
North Sea ◽  
Extreme Value ◽  
Accurate Prediction ◽  
Design Parameters ◽  
Extreme Value Analysis ◽  
Extreme Wave ◽  
Data Set ◽  
Value Analysis ◽  
Design Values ◽  
Wave Heights

The accurate prediction of extreme wave heights and crests is important to the design of offshore structures. For example, knowledge of the extreme crest elevation is required to set the deck elevation of the topside of a jacket structure. However, methods of extreme value analysis have an inherent bias, and the manner in which they are applied affects this bias. Furthermore, there is uncertainty in the design parameters at the time of design and the possibility that the predictions will change during the life of the structure. This paper is concerned with the accurate prediction of design values that incorporate uncertainty. In the first part of this paper the details of commonly applied extreme value analysis techniques are examined. This is achieved through analysis of simulated data of known distribution. In particular it is the application of least squares minimisation routines that is investigated; however, comparisons are made with maximum likelihood estimation. From this, preferred approaches to the analysis are recommended and their advantages and disadvantages discussed. The methods are applied to the analysis of a North Sea data set and the implications for the design values ascertained. In the second part of the paper Bayesian inference is used to consider the effect of uncertainty in the predicted wave heights and crest elevations. The practical implications are determined by the analysis of a measured North Sea data set.

scholarly journals WILLINGNESS TO PAY MAHASISWA FE UNY 2014-2017 TERHADAP MIE SAMYANG BERLABEL HALAL

2018 ◽  
Vol 15 (1) ◽  
pp. 35-42
Author(s):  
Lely Diana Sari Saputri
Keyword(s):  
Willingness To Pay ◽  
Contingent Valuation ◽  
Contingent Valuation Method ◽  
State University ◽  
Value Analysis ◽  
Positive Effects ◽  
Simultaneous Test ◽  
Valuation Method ◽  
Analysis Technique ◽  
Negative Effect

Penelitian ini bertujuan untuk mengetahui pengaruh pendapatan, pengalaman mengkonsumsi, dan kesadaran kehalalan mahasiswa secara parsial dan simultan terhadap Willingness To Pay/WTP mie samyang berlabel halal LPPOM MUI. Sampel dalam penelitian ini sejumlah 96 Mahasiswa FE UNY. Metode pengumpulan data yang digunakan adalah kuesioner. Teknik analisis menggunakan regresi ganda dan contingent valuation method. Hasil penelitian menunjukkan secara parsial variabel pendapatan dan pengalaman mengkonsumsi berpengaruh positif terhadap WTP mie samyang berlabel halal LPPOM MUI, namun kesadaran kehalalan berpengaruh negatif terhadap WTP mie samyang berlabel halal LPPOM MUI. Hasil pengujian secara simultan menunjukkan bahwa ketiga variabel berpengaruh signifikan terhadap WTP mie samyang berlabel halal LPPOM MUI. Perubahan yang terjadi pada variabel WTP dapat dijelaskan oleh variabel bebas dalam penelitian ini sebesar 58,9%. Hasil analisis nilai WTP menunjukkan mayoritas responden bersedia membayar sebesar Rp 15.000,00. This study aims to find out the effects of the income, consuming experience, and awareness of being halal among the 2014-2017 admission year students of the Faculty of Economics (FE), Yogyakarta State University (YSU), partially and simultaneously, on the Willingness to Pay (WTP) for samyang noodle halal certified by LPPOM MUI. The research sample consisted of 96 students, selected using the Slovin formula. The data were collected by a questionnaire. The data analysis technique was the OLS multiple regression. In addition, the WTP value was analyzed by the contingent valuation method. The results of the study showed that partially the variables of the income and consuming experience have significant positive effects on the WTP for samyang noodle halal certified by LPPOM MUI. However, the awareness of being halal has a significant negative effect on the WTP for samyang noodle halal certified by LPPOM MUI. The result of the simultaneous test indicates that the three variables significantly affect the WTP for samyang noodle halal certified by LPPOM MUI. The change that occurs in the variable of the WTP that can be explained by the independent variables in this study is 58.9%. The result of the WTP value analysis shows that the majority of respondents are willing to pay by Rp 15,000.00.

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