Residual demand analysis of the carbonated soft drink industry

Empirica ◽  
1995 ◽  
Vol 22 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Richard S. Higgins ◽  
David P. Kaplan ◽  
Michael J. Mcdonald ◽  
Robert D. Tollison
Keyword(s):  
Soft Drink ◽  
Demand Analysis ◽  
Residual Demand

scholarly journals The Competition of Beverage Products in Current Market: A Composite Demand Analysis

2017 ◽  
Vol 47 (1) ◽  
pp. 118-131 ◽  
Author(s):  
Yan Heng ◽  
Lisa A. House ◽  
Hyeyoung Kim
Keyword(s):  
Soft Drink ◽  
Soft Drinks ◽  
Demand Analysis ◽  
Scanner Data ◽  
Low Calorie ◽  
Soft Drink Consumption ◽  
Daily Diet

The beverage sector plays an important role in consumers' daily diet. Recent declines in fruit beverage and soft drink consumption may be a reflection of changing consumers' lifestyles and perceptions. This study uses recent scanner data to develop a demand analysis to examine the competition of various beverages. To obtain reliable demand and elasticity estimates, we test for valid aggregations using the generalized composite commodity theorem. Results suggest that while consumers substitute refrigerated juice with low calorie drinks, a larger proportion of consumers substitute regular soft drinks with fruit drinks.

Residual Demand Analysis of the Ready-to-Eat Breakfast Cereal Market

1993 ◽  
Vol 38 (4) ◽  
pp. 903-942
Author(s):  
David R. Kamerschen ◽  
Johannes Kohler
Keyword(s):  
Demand Analysis ◽  
Breakfast Cereal ◽  
Residual Demand

Food-Evoked Changes in Humans

2010 ◽  
Vol 24 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Peter Walla ◽  
Maria Richter ◽  
Stella Färber ◽  
Ulrich Leodolter ◽  
Herbert Bauer
Keyword(s):  
Food Intake ◽  
Startle Response ◽  
Brain Activity ◽  
Soft Drink ◽  
Ice Cream ◽  
Response Amplitude ◽  
Response Modulation ◽  
Motivational States ◽  
Localization Analysis ◽  
Study Participants

Two experiments investigate effects related to food intake in humans. In Experiment 1, we measured startle response modulation while study participants ate ice cream, yoghurt, and chocolate. Statistical analysis revealed that ice cream intake resulted in the most robust startle inhibition compared to no food. Contrasting females and males, we found significant differences related to the conditions yoghurt and chocolate. In females, chocolate elicited the lowest response amplitude followed by yoghurt and ice cream. In males, chocolate produced the highest startle response amplitude even higher than eating nothing, whereas ice cream produced the lowest. Assuming that high response amplitudes reflect aversive motivation while low response amplitudes reflect appetitive motivational states, it is interpreted that eating ice cream is associated with the most appetitive state given the alternatives of chocolate and yoghurt across gender. However, in females alone eating chocolate, and in males alone eating ice cream, led to the most appetitive state. Experiment 2 was conducted to describe food intake-related brain activity by means of source localization analysis applied to electroencephalography data (EEG). Ice cream, yoghurt, a soft drink, and water were compared. Brain activity in rostral portions of the superior frontal gyrus was found in all conditions. No localization differences between conditions occurred. While EEG was found to be insensitive, startle response modulation seems to be a reliable method to objectively quantify motivational states related to the intake of different foods.

Soft-drink cans beat the diffraction limit

Nature ◽  
2011 ◽  
Author(s):  
Jon Cartwright
Keyword(s):  
Soft Drink ◽  
Diffraction Limit

The correlation between the sociodemographic characteristics and some hormones with the infertility of women and men

10.32947/357 ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 1-10
Keyword(s):  
Soft Drink ◽  
Serum Prolactin ◽  
Age Group ◽  
Tea Consumption ◽  
Obese Women ◽  
Overweight Women ◽  
Infertile Women ◽  
Infertile Men ◽  
Overweight Group ◽  
Prolactin Hormone

Thirty three infertile women were divided into two groups according to their BMI (21 obese and 12 overweight) there age ranges between (16-41) years, with their husbands twenty one infertile men and twelve fertile men and their ages range between (23-46) years. In the present study we observed that several indicators affect the fertility such as BMI in infertile obese women which was 34.65 kg/m2. That is higher than that of overweight infertile women that recorded 24.87 kg/m2. obese housewives scored the highest percentage (85.71%) compared with the overweight group (25%), In addition the obese age group between 30-41 years scored (66.67%) compared with the overweight group whose members’ age 16-29.9 years scored 75%. However, drinking cola (soft drink) percentage in obese infertile women was (85.71%) and the tea consumption was higher in overweight group (66.67%). The hormones FSH and LH decrease in obese women but serum prolactin hormone increased twice about 29.27 ng/ml in comparison with overweight group. Testosterone hormone decreased in obese women but Leptin in obese women (19.52 μg/L) was higher than that of overweight women (11.03 μg/L). Infertile unemployed men got the highest percentage of 66.67%. Besides, the smoker infertile men were higher in percentage (80.95%) compared with fertile men 41.67%. The elevated LH, FSH and prolactin values are significantly high (p<0.01) (7.895 mlU/ml, 9.89 mlU/ml and 13.33 ng/ml) respectively, but the testosterone was significantly low (3.91 ng/dl) in comparison with fertile men(21.76ng/dl). Whileleptin significantly increased in infertile men more than the fertile ones. These changes in hormones have a great correlation with semen characteristics as the abnormalities in sperms increased to (64.52) and the percentage of rapid, progressive and non -progressive motility decreased, but the immotile motility was highly significant (65.71) in infertile men. As a result this indicates that the reason of infertility is shared between the wife and husband.

Supply and Demand Analysis, Future Demand Forecast, and Countermeasure Studies for Forage Materials in China

2018 ◽  
Vol 20 (5) ◽  
pp. 39 ◽  
Author(s):  
Aimin Liu ◽  
Panna Jia ◽  
Lixin Wang ◽  
Liangjie Wu
Keyword(s):  
Supply And Demand ◽  
Demand Analysis ◽  
Demand Forecast ◽  
Future Demand

Anaerobic Digestion Treatment of Soft Drink Wastewater

2015 ◽  
Vol 2 (1) ◽  
pp. 25-35 ◽  
Author(s):  
Chinenyenwa Nweke ◽  
◽  
Joseph Nwabanne ◽  
Philomena Igbokwe ◽  
◽  
...  
Keyword(s):  
Anaerobic Digestion ◽  
Soft Drink ◽  
Soft Drink Wastewater
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