scholarly journals Do Online Shoppers Attend Farmers’ Markets?

2019 ◽  
Vol 11 (10) ◽  
pp. 39
Author(s):  
Jean D. Gumirakiza ◽  
Mara E. Schroering
Keyword(s):  
United States ◽  
Logit Model ◽  
Online Shopping ◽  
Multinomial Logit Model ◽  
The United States ◽  
Multinomial Logit ◽  
Marketing Strategies ◽  
Farmers Markets ◽  
Online Purchases ◽  
Online Shoppers

Online shopping is changing ways in which offline markets operate. As the online shopping for fresh produce takes off, it is important to investigate its effects on existing physical market outlets. The main objective for this study is to explain how often online shoppers attend farmers’ markets. The study uses data that was collected in 2016 from a sample of 1,205 consumers residing in the south region of the United States who made at least two online purchases within six months prior to participating in this study. This study employed a multinomial Logit model and Stata was used to run the regression. Results show that the majority of these online shoppers never attended a farmers’ market. The relative probabilities for the online shoppers to “never” attend farmers’ markets, attend “occasionally”, and “frequently” are 0.54, 0.28, and 0.18 respectively. We found that the lack of awareness, inconvenient place and/or time, and low interests are major reasons for nonattendance. This study suggests that farmers’ markets could greatly benefit by developing marketing strategies targeting online shoppers.

scholarly journals The Willingness to Pay for Local, Domestic, and Imported Bundled Fresh Produce by Online Shoppers

2018 ◽  
Vol 10 (12) ◽  
pp. 15
Author(s):  
Jean D. Gumirakiza ◽  
Taylor Choate
Keyword(s):  
United States ◽  
Willingness To Pay ◽  
Online Shopping ◽  
Positive Impact ◽  
Fresh Produce ◽  
The United States ◽  
Online Shoppers ◽  
Interest Level ◽  
Different Origins ◽  
Locally Grown

This study applies a Censored Normal Tobit Model on the 2016 survey data from 1,205 online shoppers in the South region of the United States to explain their Willingness To Pay (WTP) for a bundle of fresh produce from different origins. This study indicates that online shoppers are willing to pay $6.91, $6.38, and $5.22 for four pounds of bundled fresh produce that are locally, domestically grown, and imported respectively. We found that income category, interests in online shopping, interest level for local, interest level for organic, and monthly spending on fresh produce have a significant positive impact on the WTP for locally grown fresh produce. Results indicate that being married, high income, interests in online shopping, interests in local produce, interests in organic, and the monthly spending on fresh produce increase the WTP for domestically grown fresh produce, while age and being a female diminishes it. We further found that age, being a female, and interest in the freshness of the produce decrease the WTP for imported produce. Based on the findings from this study, we have suggested a couple of marketing implications and suggestions.

scholarly journals Modeling Forest Fire Probabilities in the South Central United States Using FIA Data

2003 ◽  
Vol 27 (1) ◽  
pp. 11-17 ◽  
Author(s):  
Ian A. Munn ◽  
Yushun Zhai ◽  
David L. Evans
Keyword(s):  
United States ◽  
Census Tract ◽  
Logit Model ◽  
Urban Areas ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Prescribed Fires ◽  
The South ◽  
South Central ◽  
Central United States

Abstract Factors influencing the probability of fire occurrence in the south central United States were investigated using a geographic information system (GIS) and a multinomial logit model. Forest Inventory and Analysis (FIA) data at the plot level were merged with census data at the census-tract level to create a data set containing demographic, geographic, and timber-related characteristics. A multinomial logit model was employed to estimate the relationships between plot characteristics and the probability of wildfires, prescribed fires, and fires of unknown origins. Wildfires occurred more frequently on public forests than industrial and nonindustrial private forests (NIPFs). The probability of wildfire increased with proximity to urban areas and “built-up” areas of 4 ha or more in size. Wildfires occurred more frequently in younger stands and in pine and mixed pine-hardwood types than in hardwood types. Prescribed fires occurred more frequently on public and industrial forests than on NIPFs. The probability of prescribed fires increased with proximity to roads, urban areas, built-up areas of 4 ha or more, and on flatter terrain, but was inversely related to population density. Fire was prescribed less frequently for pole-sized stands than sawtimber size stands and more frequently for pine and mixed pine-hardwood types than for hardwood types. Education levels and median household incomes of the surrounding census tract had no significant effects on the probability of any type of fire. South. J. Appl. For. 27(1):11–17.

scholarly journals Most Preferred Market Venues for Locally Grown Fresh Produce among Online Shoppers

2017 ◽  
Vol 9 (10) ◽  
pp. 26 ◽  
Author(s):  
Jean D. Gumirakiza ◽  
Sarah M. VanZee
Keyword(s):  
Fresh Produce ◽  
Marketing Strategies ◽  
Farmers Markets ◽  
Grocery Stores ◽  
Relative Probability ◽  
Future Studies ◽  
Online Purchases ◽  
Online Shoppers ◽  
Locally Grown ◽  
On Farm

This paper examines the most preferred market venues online shoppers use when purchasing locally/regionally grown fresh produce. We surveyed 1,205 consumers who made online purchases at least twice within six months prior to participating in this study. We call these consumers “online shoppers”. The study was conducted in the Southern region of the U.S. We collected data using Qualtrics actively managed market research panels and social media such as Facebook, and Twitter. Results indicate that grocery stores are the most preferred market venue online shoppers use to purchase locally/regionally grown fresh produce with a relative probability of 44 percent. Farmers’ markets are the second most preferred market venues with a likelihood of 33 percent. The third market venue is on-farm/CSA programs with relative probability of seven percent. Online markets are currently the fourth most frequented with a likelihood of five percent. 11 percent have no particular most preferred market venue. This analysis is significant to fresh produce growers and marketers. Results suggest new marketing strategies to conveniently make fresh produce accessible among online shoppers. Furthermore, this study is useful for future studies with interests in explaining the preferred market venues for local/regional fresh produce among online shoppers.

scholarly journals Examining Consumers’ Attitudes toward Gmarket Online Shopping

J ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 364-383
Author(s):  
Ronald Baganzi ◽  
Geon-Cheol Shin ◽  
Shali Wu
Keyword(s):  
Structural Equation ◽  
Online Shopping ◽  
The United States ◽  
Marketing Strategies ◽  
Perceived Benefits ◽  
Behavioral Beliefs ◽  
Website Quality ◽  
Perceived Trust ◽  
Online Shoppers ◽  
Practical Implications

In this study, we examine the consumers’ attitudes toward Gmarket online shopping in Korea. We use a model to explain that consumers’ attitudes toward online shopping are influenced by psychological, personal, and technological characteristics. We hypothesize that three major behavioral beliefs; perceived trust (psychological), perceived benefits (personal), and perceived website quality (technological) influence consumers’ attitudes toward online shopping. A questionnaire was designed and administered by surveying the Gmarket online shoppers in Korea. A total of 338 valid responses were collected and Partial Least Squares (PLS) Structural Equation Modelling (SEM) was used for data analysis. The findings indicate that consumers’ online shopping attitudes are a function of perceived benefits, trust, and perceived website quality. We found that 57.9 percent of the variation in online shopping attitudes results from perceived benefits, trust, and perceived website quality. Trust was found to be the most important predictor of consumers’ online shopping attitudes. We offer academic and practical implications that are useful in designing e-marketing strategies for competing in the online shopping cyberspace market in Korea. We recommend for the replication of a similar model in other parts of the world like Uganda (Jumia), China (Taobao), Japan (Rakuten), and the United States of America (eBay).

scholarly journals Analyzing Severity of Vehicle Crashes at Highway-Rail Grade Crossings: Multinomial Logit Modeling

2015 ◽  
Author(s):  
Wei (David) Fan ◽  
Martin R. Kane ◽  
Elias Haile
Keyword(s):  
Logit Model ◽  
High Speed ◽  
Injury Severity ◽  
Weather Conditions ◽  
Multinomial Logit Model ◽  
The United States ◽  
Multinomial Logit ◽  
Vehicle Crashes ◽  
Grade Crossings ◽  
The Impact

The purpose of this paper is to develop a nominal response multinomial logit model (MNLM) to identify factors that are important in making an injury severity difference and to explore the impact of such explanatory variables on three different severity levels of vehicle-related crashes at highway-rail grade crossings (HRGCs) in the United States. Vehicle-rail and pedestrian-rail crash data on USDOT highway-rail crossing inventory and public crossing sites from 2005 to 2012 are used in this study. A multinomial logit model is developed using SAS PROC LOGISTICS procedure and marginal effects are also calculated. The MNLM results indicate that when rail equipment with high speed struck a vehicle, the chance of a fatality resulting increased. The study also reveals that vehicle pick-up trucks, concrete, and rubber surfaces were more likely to be involved in more severe crashes. On the other hand, truck-trailer vehicles in snow and foggy weather conditions, development area types (residential, commercial, industrial, and institutional), and higher daily traffic volumes were more likely to be involved in less severe crashes. Educating and equipping drivers with good driving habits and short-term law enforcement actions, can potentially minimize the chance of severe vehicle crashes at HRGCs.

Spatial Social Choice

2019 ◽  
pp. 207-244
Author(s):  
Norman Schofield
Keyword(s):  
United States ◽  
Stochastic Model ◽  
Social Choice ◽  
Spatial Models ◽  
The United States ◽  
Multinomial Logit ◽  
Experimental Results ◽  
The Core ◽  
Voting Game ◽  
Voter Choice

A key concept of social choice is the idea of the Condorcet point or core. For example, consider a voting game with four participants so any three will win. If voters have Euclidean preferences, then the point at the center will be unbeaten. Earlier spatial models of social choice focused on deterministic voter choice. However, it is clear that voter choice is intrinsically stochastic. This chapter employs a stochastic model based on multinomial logit to examine whether parties in electoral competition tend to converge toward the electoral center or respond to activist pressure to adopt more polarized policies. The chapter discusses experimental results of the idea of the core explores empirical analyses of elections in Israel and the United States.

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization
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