Golf courses and home values in California’s Central valley

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nyakundi Momanyi Michieka ◽  
Donald John Lacombe ◽  
Yiannis Ampatzidis
Keyword(s):  
Model Comparison ◽  
Central Valley ◽  
Three Dimensions ◽  
Golf Courses ◽  
Kern County ◽  
Spatial Econometric ◽  
Content Type ◽  
Bayesian Techniques ◽  
Bayesian Model Comparison ◽  
Home Values

Purpose The purpose of this study is to examine the net effect of golf courses’ proximity on home sale prices in Kern County, California. Design/methodology/approach A spatial Durbin error model is used with sales price data for 1,693 homes sold in Kern County in the third quarter of 2018. This paper compares 90 different spatial econometric models using Bayesian techniques to produce posterior model probabilities which guided model selection and the number of neighbors to use. Findings The results show that significant spatial dependence exists in home values in Kern County. Point estimates indicate that homes abutting golf courses are valued at less than those which are not. This study also finds that the farther away from golf courses the average home is, the higher its value. Originality/value This study contributes to the existing literature in three dimensions. First, this paper analyzes whether proximity to golf courses impacts home values in Kern County where a study of this nature has not been conducted. Second, the analysis uses transaction data for 2018 which was a period when the sport’s popularity was fading and golf courses closing. Third, Bayesian model comparison techniques are used to select the appropriate model.

An empirical examination of firm financial performance along dimensions of supply chain resilience

2017 ◽  
Vol 40 (3) ◽  
pp. 254-269 ◽  
Author(s):  
Xun Li ◽  
Qun Wu ◽  
Clyde W. Holsapple ◽  
Thomas Goldsby
Keyword(s):  
Supply Chain ◽  
Financial Performance ◽  
Three Dimensions ◽  
Empirical Examination ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Critical Dimensions ◽  
Firm Financial Performance ◽  
Supply Chain Agility ◽  
The Impact

Purpose This paper aims to investigate the impact of three critical dimensions of supply chain resilience, supply chain preparedness, supply chain alertness and supply chain agility, all aimed at increasing a firm’s financial outcomes. In a turbulent environment, firms require resilience in their supply chains to prepare for potential changes, detect changes and respond to actual changes, thus providing superior value. Design/methodology/approach Using survey data from 77 firms, this study develops scales for preparedness, alertness and agility. It then tests their hypothesized relationships with a firm’s financial performance. Findings The results reveal that the three dimensions of supply chain resilience (i.e. preparedness, alertness and agility) significantly impact a firm’s financial performance. It is also found that supply chain preparedness, as a proactive resilience capability, has a greater influence on a firm’s financial performance than the reactive capabilities including alertness and agility, suggesting that firms should pay more attention to proactive approaches for building supply chain resilience. Originality/value First, this study develops a comparatively comprehensive definition for supply chain resilience and explores its dimensionality. Second, this study provides empirically validated instruments for the dimensions of supply chain resilience. Third, this study is one of the first to provide empirical evidence for direct impact of supply chain resilience dimensions on a firm’s financial performance.

Bayesian model comparison

2014 ◽  
pp. 101-117
Author(s):  
Michael D. Lee ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Bayesian Model ◽  
Model Comparison ◽  
Bayesian Model Comparison

scholarly journals A complete search for redshift z ≳ 6.5 quasars in the VIKING survey

2020 ◽  
Vol 501 (2) ◽  
pp. 1663-1676
Author(s):  
R Barnett ◽  
S J Warren ◽  
N J G Cross ◽  
D J Mortlock ◽  
X Fan ◽  
...  
Keyword(s):  
Model Comparison ◽  
High Redshift ◽  
Detailed Comparison ◽  
Selection Function ◽  
Data Set ◽  
Bayesian Model Comparison ◽  
Fitting Method ◽  
Complete Search ◽  
Potential Contaminant ◽  
Ranked List

ABSTRACT We present the results of a new, deeper, and complete search for high-redshift 6.5 < z < 9.3 quasars over 977 deg2 of the VISTA Kilo-Degree Infrared Galaxy (VIKING) survey. This exploits a new list-driven data set providing photometry in all bands Z, Y, J, H, Ks, for all sources detected by VIKING in J. We use the Bayesian model comparison (BMC) selection method of Mortlock et al., producing a ranked list of just 21 candidates. The sources ranked 1, 2, 3, and 5 are the four known z > 6.5 quasars in this field. Additional observations of the other 17 candidates, primarily DESI Legacy Survey photometry and ESO FORS2 spectroscopy, confirm that none is a quasar. This is the first complete sample from the VIKING survey, and we provide the computed selection function. We include a detailed comparison of the BMC method against two other selection methods: colour cuts and minimum-χ2 SED fitting. We find that: (i) BMC produces eight times fewer false positives than colour cuts, while also reaching 0.3 mag deeper, (ii) the minimum-χ2 SED-fitting method is extremely efficient but reaches 0.7 mag less deep than the BMC method, and selects only one of the four known quasars. We show that BMC candidates, rejected because their photometric SEDs have high χ2 values, include bright examples of galaxies with very strong [O iii] λλ4959,5007 emission in the Y band, identified in fainter surveys by Matsuoka et al. This is a potential contaminant population in Euclid searches for faint z > 7 quasars, not previously accounted for, and that requires better characterization.

A biomimetic 3D airflow sensor made of an array of two piezoelectric metal-core fibers

Sensor Review ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Yixiang Bian ◽  
Can He ◽  
Kaixuan Sun ◽  
Longchao Dai ◽  
Hui Shen ◽  
...  
Keyword(s):  
Design Methodology ◽  
Spherical Surface ◽  
Three Dimensional ◽  
Three Dimensions ◽  
Piezoceramic Cylinder ◽  
Metal Core ◽  
Content Type ◽  
3D Space ◽  
Highly Sensitive ◽  
Airflow Sensor

Purpose The purpose of this paper is to design and fabricate a three-dimensional (3D) bionic airflow sensing array made of two multi-electrode piezoelectric metal-core fibers (MPMFs), inspired by the structure of a cricket’s highly sensitive airflow receptor (consisting of two cerci). Design/methodology/approach A metal core was positioned at the center of an MPMF and surrounded by a hollow piezoceramic cylinder. Four thin metal films were spray-coated symmetrically on the surface of the fiber that could be used as two pairs of sensor electrodes. Findings In 3D space, four output signals of the two MPMFs arrays can form three “8”-shaped spheres. Similarly, the sensing signals for the same airflow are located on a spherical surface. Originality/value Two MPMF arrays are sufficient to detect the speed and direction of airflow in all three dimensions.

scholarly journals A Bayesian model comparison approach to test the specificity of visual integration impairment in schizophrenia or psychosis

2018 ◽  
Vol 265 ◽  
pp. 271-278 ◽  
Author(s):  
Tyler B. Grove ◽  
Beier Yao ◽  
Savanna A. Mueller ◽  
Merranda McLaughlin ◽  
Vicki L. Ellingrod ◽  
...  
Keyword(s):  
Bayesian Model ◽  
Model Comparison ◽  
Visual Integration ◽  
Bayesian Model Comparison ◽  
Comparison Approach

Uncertainty of prior and posterior model probability: Implications for interpreting Bayes factors

2021 ◽  
Author(s):  
John K. Kruschke
Keyword(s):  
Posterior Distribution ◽  
Bayesian Model ◽  
Model Comparison ◽  
Bayes Factor ◽  
Bayes Factors ◽  
Prior Model ◽  
Bayesian Hypothesis Testing ◽  
Bayesian Model Comparison ◽  
Posterior Model Probability ◽  
Model Probability

In most applications of Bayesian model comparison or Bayesian hypothesis testing, the results are reported in terms of the Bayes factor only, not in terms of the posterior probabilities of the models. Posterior model probabilities are not reported because researchers are reluctant to declare prior model probabilities, which in turn stems from uncertainty in the prior. Fortunately, Bayesian formalisms are designed to embrace prior uncertainty, not ignore it. This article provides a novel derivation of the posterior distribution of model probability, and shows many examples. The posterior distribution is useful for making decisions taking into account the uncertainty of the posterior model probability. Benchmark Bayes factors are provided for a spectrum of priors on model probability. R code is posted at https://osf.io/36527/. This framework and tools will improve interpretation and usefulness of Bayes factors in all their applications.

The role of farm-to-table activities in agritourism towards sustainable development

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siti Fatimahwati Pehin Dato Musa ◽  
Wei Lee Chin
Keyword(s):  
Sustainable Development ◽  
Local Community ◽  
Three Dimensions ◽  
Structured Interviews ◽  
Content Type ◽  
Local Agriculture ◽  
Balanced Approach ◽  
Agriculture Industry ◽  
Food Activism

Purpose The purpose of this paper is to evaluate the role of farm-to-table (FTT) activities in agritourism towards sustainable development based on three agritourism farms in Brunei. Design/methodology/approach The study is based on qualitative data using semi-structured interviews with 23 participants involved in the management of the farms. In-depth interviews are considered the most appropriate approach to gain the unexplored perspectives of the agriculture community at the three agritourism farms. Findings The study found that FTT activities imparted in agritourism contribute towards sustainable development economically, socially and environmentally. FTT leads to the establishment of small medium and micro enterprises, which, in turn, creates employment for the local people. It also plays a part in preserving the ethno-culinary heritage of indigenous food, promoting food localism and sustainable agriculture. These findings suggest that FTT activities play an important role in revitalizing the local community. The outcome of this empirical research may enable planners to better formulate regional policy based on a balanced approach taking into account the three dimensions of sustainability towards agritourism development. From a theoretical standpoint, this study adds value to the literature by identifying the contributions of FTT activities towards sustainable development emphasising on the consumption of local ethnic food and food localism. Originality/value The contributions of agritourism for local farms has not been extensively discussed especially in Brunei’s local agriculture industry. This study will provide evidence that FTT activities contribute towards a moderate form of food activism; one that re-forges the disrupted linkages between people, nature and cultural heritage.

Service journey quality: conceptualization, measurement and customer outcomes

2021 ◽  
Vol 32 (6) ◽  
pp. 1-27
Author(s):  
Elina Jaakkola ◽  
Harri Terho
Keyword(s):  
Service Quality ◽  
Service Delivery ◽  
Customer Loyalty ◽  
Financial Services ◽  
Three Dimensions ◽  
Service Research ◽  
Research Approach ◽  
Critical Determinant ◽  
Content Type

PurposeThe quality of the customer journey has become a critical determinant of successful service delivery in contemporary business. Extant journey research focuses on the customer path to purchase, but pays less attention to the touchpoints related to service delivery and consumption that are key for understanding customer experiences in service-intensive contexts. The purpose of this study is to conceptualize service journey quality (SJQ), develop measures for the construct and study its key outcomes.Design/methodology/approachThe study uses a discovery-oriented research approach to conceptualize SJQ by synthesizing theory and field-based insights from customer focus group discussions. Next, using consumer survey data (N = 278) from the financial services context, the authors develop measures for the SJQ. Finally, based on an additional survey dataset (N = 239), the authors test the nomological validity and predictive relevance of the SJQ.FindingsSJQ comprises of three dimensions: (1) journey seamlessness, (2) journey personalization and (3) journey coherence. This study demonstrates that SJQ is a critical driver of service quality and customer loyalty in contemporary business. This study finds that the loyalty link is partially mediated through service quality, indicating that SJQ explains loyalty above and beyond service quality.Research limitations/implicationsSince service quality only partially mediates the link between service journey quality and customer loyalty, future studies should examine alternative mediators, such as customer experience, for a more comprehensive understanding of the performance effects.Practical implicationsThe study offers concrete tools for service managers who wish to understand and develop the quality of service journeys.Originality/valueThis study advances the service journey concept, demonstrates that the quality of the service journey is a critical driver of customer performance and provides rigorous journey constructs for future service research.

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