scholarly journals What's Steering Consumer Preferences For Autonomous Vehicles In The Greater Toronto And Hamilton Area?

2021 ◽  
Author(s):  
Kailey Laidlaw
Keyword(s):  
Willingness To Pay ◽  
Household Income ◽  
Autonomous Vehicles ◽  
Consumer Preferences ◽  
Demographic Characteristics ◽  
Social Goals ◽  
Automated Vehicles ◽  
Car Accidents ◽  
Frequency Of Use ◽  
Environment Variables

Automated vehicles (AVs) have the potential to change the way we travel within our cities. However, the conditions under which consumers will adopt AVs are poorly understood. An internet-based survey was conducted in the Greater Toronto and Hamilton Area to understand how consumers will respond to automated vehicles. This study estimates the effect of demographic characteristics, travel characteristics, and built-environment variables on respondent’s willingness to pay for private autonomous vehicles and frequency of use for shared autonomous vehicles under different pricing levels. The results indicate that having a higher household income and owning a more expensive vehicle are good predictors of interest in PAVs, whereas individuals who experienced more car accidents as a passenger and individuals who commute using public transit or walk/cycle are more interested in SAVs. Regional rail users, Uber users, and younger respondents were interested in both ownership models. This provides insight to help policymakers advance transportation policies and collective social goals.

scholarly journals What's Steering Consumer Preferences For Autonomous Vehicles In The Greater Toronto And Hamilton Area?

2021 ◽  
Author(s):  
Kailey Laidlaw
Keyword(s):  
Willingness To Pay ◽  
Household Income ◽  
Autonomous Vehicles ◽  
Consumer Preferences ◽  
Demographic Characteristics ◽  
Social Goals ◽  
Automated Vehicles ◽  
Car Accidents ◽  
Frequency Of Use ◽  
Environment Variables

Automated vehicles (AVs) have the potential to change the way we travel within our cities. However, the conditions under which consumers will adopt AVs are poorly understood. An internet-based survey was conducted in the Greater Toronto and Hamilton Area to understand how consumers will respond to automated vehicles. This study estimates the effect of demographic characteristics, travel characteristics, and built-environment variables on respondent’s willingness to pay for private autonomous vehicles and frequency of use for shared autonomous vehicles under different pricing levels. The results indicate that having a higher household income and owning a more expensive vehicle are good predictors of interest in PAVs, whereas individuals who experienced more car accidents as a passenger and individuals who commute using public transit or walk/cycle are more interested in SAVs. Regional rail users, Uber users, and younger respondents were interested in both ownership models. This provides insight to help policymakers advance transportation policies and collective social goals.

Zastosowanie modelu logitowego do analizy czynników wpływających na bezrobocie wśród ludności wiejskiej

2015 ◽  
pp. 33-42 ◽  
Author(s):  
Dorota Kmieć
Keyword(s):  
Labor Market ◽  
Rural Population ◽  
Household Income ◽  
Logit Model ◽  
Demographic Characteristics ◽  
Explanatory Factors ◽  
Personal Competencies ◽  
The Impact

The paper attempts to identify the causes of unemployment among the rural population. Logit model was used to determine the size of the impact of explanatory factors examined the situation in the labor market. The following potential predictors were considered: socio-demographic characteristics and household income, improving one’s skills through training and personal competencies.

scholarly journals Consumer Preferences and Willingness to Pay for Potting Mix with Biochar

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3432
Author(s):  
McKenzie Thomas ◽  
Kimberly L. Jensen ◽  
Dayton M. Lambert ◽  
Burton C. English ◽  
Christopher D. Clark ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Online Survey ◽  
Product Information ◽  
Consumer Preferences ◽  
Market Potential ◽  
Marginal Costs ◽  
Consumer Demographics ◽  
Market Shares ◽  
Potential Market ◽  
Dedicated Energy Crops

Biochar is a co-product of advanced biofuels production from feedstocks including food, agricultural, wood wastes, or dedicated energy crops. Markets for soil amendments using biochar are emerging, but little is known about consumer preferences and willingness to pay (WTP) for these products or the depth of the products’ market potential for this product. This research provides WTP estimates for potting mix amended with 25% biochar, conditioned on consumer demographics and attitudes about product information labeling. Data were collected with an online survey of 577 Tennessee home gardeners. WTP was elicited through a referendum contingent valuation. Consumer WTP for an 8.81 L bag of 25% biochar potting mix is $8.52; a premium of $3.53 over conventional potting mix. Demographics and attitudes toward biofuels and the environment influence WTP. Biochar amounts demanded are projected for the study area’s potential market. Optimal prices, profits, and market shares are estimated across different marginal costs of producing biochar potting mix.

scholarly journals Adolescent impulsiveness and use of alcohol and tobacco

2015 ◽  
Vol 5 (3) ◽  
pp. 371-382
Author(s):  
Mª del Carmen Pérez-Fuentes ◽  
José J. Gázquez ◽  
Mª del Mar Molero ◽  
Fernando Cardila ◽  
África Martos ◽  
...  
Keyword(s):  
Risk Factor ◽  
Drug Use ◽  
Detailed Analysis ◽  
Intervention Program ◽  
Ad Hoc ◽  
Demographic Characteristics ◽  
The State ◽  
Negative Consequences ◽  
Frequency Of Use ◽  
The Relationship

Adolescence is characterized by premature experimentation with new experiences and sensations. These experiences sometimes include drugs, which even though legal and socially accepted, begin to have noticeable negative consequences to the adolescent’s development. In recent years, a decrease in use of tobacco by Spanish adolescents has been observed, but not in alcohol. One of the causes of initiation in drug use is impulsive personality or behavior. Thus the purpose of this study was to analyze the relationship between impulsiveness and frequency of use of alcohol and tobacco in 822 students aged 13 to 18 years of age. The State Impulsivity Scale (SIS) and an ad hoc questionnaire on demographic characteristics and use of alcohol and tobacco were used for this. The results showed that students who stated they were users scored significantly higher on impulsivity. Thus detailed analysis of the profile of individuals with this risk factor could favor more adequate intervention program design.

Incorporating Attitudinal Factors to Examine Adoption of and Willingness to Pay for Autonomous Vehicles

2019 ◽  
Vol 2673 (8) ◽  
pp. 418-429 ◽  
Author(s):  
Hamidreza Asgari ◽  
Xia Jin
Keyword(s):  
Willingness To Pay ◽  
Stress Reduction ◽  
Latent Variables ◽  
Autonomous Vehicles ◽  
Mode Choice ◽  
Autonomous Vehicle ◽  
Cost Savings ◽  
Structural Equations ◽  
Driving Mode ◽  
Attitudinal Factors

Results from a recent consumer survey were thoroughly analyzed in relation to willingness to adopt and willingness to pay (WTP) for different autonomous vehicle (AV) features. Four different levels of automation were considered including basic vehicles, adding advanced features, partial automation, and full automation. A structural equations model with latent variables was employed, which simultaneously regressed adoption and WTP levels against a variety of available variables including socioeconomic and demographic attributes, private car usage habits, and attitudinal preferences/personal opinions. To address the endogeneity in personal attitudes, these variables were added to the model as latent factors. Accordingly, the analysis revealed four major latent attitudinal factors, respectively labeled as “joy of driving,”“mode choice reasoning,”“trust,” and “technology savviness.” Model results indicated that those who enjoy driving were the hardest to persuade towards AV adoption or to pay for automated features. On the other hand, technology savvy people showed higher tendency towards AV adoption. When it comes to factors affecting mode choice including travel time, travel cost, and functionality, people are willing to pay more for automated features when they believe that these features and services will provide them better utility, in relation to time and cost savings, convenience, stress reduction, and quality of life, and so forth. Interestingly, individuals with trust concerns showed higher WTP values, which may indicate that the market believes autonomous vehicles will bring more privacy and protection, at least compared with existing shared mobility or public transit options.

scholarly journals Health Is Wealth: Study on Consumer Preferences and the Willingness to Pay for Ecological Agricultural Product Traceability Technology: Evidence from Jiangxi Province China

2021 ◽  
Vol 18 (22) ◽  
pp. 11761
Author(s):  
Ximing Chen ◽  
Jie Shang ◽  
Muhammad Zada ◽  
Shagufta Zada ◽  
Xueqiang Ji ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Consumer Preferences ◽  
Jiangxi Province ◽  
Agricultural Product ◽  
Technology Application ◽  
Additional Payments ◽  
Organic Rice ◽  
Blockchain Technology ◽  
Experiment Method ◽  
Technology Applications

The application of traceability technology is an important way to solve food safety problems. Different traceability technologies bring different effects to consumers. Existing studies have not explored consumers’ preferences in regards to product traceability technology applications, and they have not analyzed their willingness to pay. Therefore, this study focused on organic rice, an ecological agricultural product. The study was based on a survey from Jiangxi Province, China. It used a selective experiment method in order to analyze consumer preferences and the willingness to pay for ecological agricultural product traceability technology. The results show that consumer preferences are as follows: blockchain technology application attributes, traditional traceability-technology-application attributes, high credit-supervision attributes, and international-certification attributes. In terms of willingness to pay, consumers have the highest willingness to pay for the application of blockchain technology, which they are willing to pay CNY 21.902 more per kg for this attribute. At the same time, consumers are also willing to make additional payments for traditional traceability-technology-application attributes, high credit-supervision attributes, and international-certification attributes. Their willingness to pay is CNY 20.426, CNY 17.115 yuan, and CNY 11.049, respectively.

scholarly journals Consumer willingness to pay for fair-trade attributes of goat meat in Kenya: A choice experiment analysis

2020 ◽  
Vol 15 (4) ◽  
pp. 372-386
Author(s):  
David Jakinda Otieno ◽  
Keyword(s):  
Willingness To Pay ◽  
Fair Trade ◽  
Value Chain ◽  
Choice Experiment ◽  
Consumer Preferences ◽  
Random Parameter ◽  
Developed Countries ◽  
Support Provision ◽  
Goat Meat ◽  
Domestic Markets

Fair trade is an important ethical concern in the food value chains of developed countries. However, there is a dearth of empirical insights into consumer preferences for this critical aspect in the domestic markets of developing countries. The current study analysed consumer willingness to pay (WTP) for fair-trade attributes in the goat meat value chain in Nairobi, Kenya. Choice experiment data from 270 randomly sampled consumers was analysed using the random parameter logit (RPL) model. The results show that 56% of the consumers were aware of the fair-trade concept and 64% of them were willing to pay for fair-trade-compliant practices. Specifically, consumers were willing to pay a premium of 62% to prevent child labour, 45% to support provision of medical insurance for workers in the meat value chain, 40% for direct purchase from producers, 39% for fair-trade labelling and 30% to support disabled people as part of corporate social responsibility

scholarly journals Analysis of Consumer’s WTP for Cowpea Varieties in Osun State, Nigeria: the Hedonic Pricing Approach

2018 ◽  
Vol 6 (9) ◽  
pp. 1120 ◽  
Author(s):  
Rabirou Kassali ◽  
Abayomi Yusuf Oyewale ◽  
Olufemi Adedotun Yesufu
Keyword(s):  
Willingness To Pay ◽  
Consumer Preferences ◽  
Sampling Technique ◽  
Hedonic Pricing ◽  
Primary Data ◽  
Price Premium ◽  
Price Variation ◽  
Cowpea Varieties ◽  
Breeding Programmes ◽  
Almost All

Analysis of consumer preferences for cowpea varieties in Osun State was carried out with a view to identifying attributes that determine price variation among cowpea varieties and the effect on consumer’s willingness to pay for those varieties. A multistage sampling technique was used to randomly select 240 respondents for the study, comprising 180 cowpea consumers and 60 retailers. Primary data were collected on cowpea varieties, their attributes and the consumer’s willingness to pay for cowpea varieties using well structured questionnaire. Data collected were analysed using both descriptive and inferential statistics. The results showed that out of thirteen varieties found in the area, only nine varieties of cowpea were common in the market. The quality of each variety differs which explained variation in their price. In terms of preference the Oloyin variety is preferred most by 78% of consumers. Weevil resistance had the highest rank among the cowpea attributes. Oloyin had the highest WTP followed by Milk and Drum with ₦303, ₦237 and ₦213 per kg, respectively. Hedonic pricing methods provide a statistical estimate of premiums and discounts for cowpea attributes. Results indicated that weevil resistance was the most important attribute to consumer. Cowpeas with weevil damage tolerance, brown colour, large grain size and short cooking time commanded price premium for almost all the varieties. The consumer discounted prices for insect damage, small size, white colour, smooth skin and grain colour mixed together. The study concludes on the need for breeders and research institutes to incorporate these cowpea attributes that attracted price premium into their cowpea breeding programmes.

scholarly journals Mineralogical Code in Russian Color Names

2021 ◽  
pp. 42-65
Author(s):  
Yu. A. Griber
Keyword(s):  
Demographic Characteristics ◽  
The State ◽  
Russian Language ◽  
Professional Experience ◽  
Second Stage ◽  
Russian Speakers ◽  
Frequency Of Use ◽  
Two Stages ◽  
Comprehensive Study ◽  
Modern Russian

The results of a comprehensive study of color names derived from the names of colored stones in the system of color names of the modern Russian language are presented in the article. The research was conducted in 2018-2020 in two stages using the methods of content analysis and an online psycholinguistic experiment. At the first stage, the state of the semantic group of names of colored stones, potential objects-referents of color names, was assessed by analyzing four different groups of sources: specialized dictionaries of colored stones, dictionaries of color, individual author's dictionaries of color names and explanatory dictionaries of the modern Russian language. At the second stage, the state of the color terms formed from the names of colored stones in the active vocabulary of modern Russian speakers was investigated on the basis of data from an online psycholinguistic experiment, in which 2,457 people aged 16 to 95 took part. The results of a comparative analysis of the lists of colored stones-prototypes of color names in the passive and active dictionaries of the speakers of the modern Russian language are presented. The scope of denotation and the function of color names derived from the names of colored stones are considered. Particular attention is paid to the analysis of the derivative productivity of the names of referent objects of the studied class and the frequency of use of individual color names in the responses of Russian speakers with different socio-demographic characteristics (gender, age, professional experience).

scholarly journals Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5778
Author(s):  
Agnieszka Dudziak ◽  
Monika Stoma ◽  
Andrzej Kuranc ◽  
Jacek Caban
Keyword(s):  
Autonomous Vehicles ◽  
Social Acceptance ◽  
New Technologies ◽  
Consumer Preferences ◽  
Autonomous Vehicle ◽  
Developed Countries ◽  
Automotive Market ◽  
Advantages And Disadvantages ◽  
Autonomous Cars ◽  
The Impact

New technologies reaching out for meeting the needs of an aging population in developed countries have given rise to the development and gradual implementation of the concept of an autonomous vehicle (AV) and have even made it a necessity and an important business paradigm. However, in parallel, there is a discussion about consumer preferences and the willingness to pay for new car technologies and intelligent vehicle options. The main aim of the study was to analyze the impact of selected factors on the perception of the future of autonomous cars by respondents from the area of Southeastern Poland in terms of a comparison with traditional cars, with particular emphasis on the advantages and disadvantages of this concept. The research presented in this study was conducted in 2019 among a group of 579 respondents. Data analysis made it possible to identify potential advantages and disadvantages of the concept of introducing autonomous cars. A positive result of the survey is that 68% of respondents stated that AV will be gradually introduced to our market, which confirms the high acceptance of this technology by Poles. The obtained research results may be valuable information for governmental and local authorities, but also for car manufacturers and their future users. It is an important issue in the area of shaping the strategy of actions concerning further directions of development on the automotive market.

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