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Factors Determining Consumer Purchasing Behavior towards Organic Food

Yuhan Zhou, Junyu Chang, Luoou Tang, Xuedan Bai, Hanxuan Wang

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To identify and examine the importance of various factors influencing consumer purchasing decisions of organic food and their willingness to pay

Purpose

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Research Methods

  1. Initial interest: Rise of organic food (Amazon’s acquisition of Whole Foods)
  2. Literature review
  3. Develop hypotheses (various possible factors)
  4. Data collection -  used MTurk to collect primary survey data
  5. Regression Analysis to identify significant variables
  6. Qualitative analysis of market
  7. Conclusions

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Binary Logit Regression

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Our Sample

  • The gender of our survey sample is pretty even: 263 females vs. 237 males.  
  • Consumers in our sample are evenly spread out in all age groups
  • A little more than half of our research sample are not buying for children
  • Most of our survey sample are satisfied with their organic food purchase (91.6%)
  • Most of survey sample really care about quality, and ranked it as very important (84.5%)
  • A high percentage of our survey respondents ranked taste as very important (79%)
  • For income distribution, half of our survey respondents have below $2000 monthly disposable income, only 8.4% have $6000+ monthly disposable income.  

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7 Statistically Significant Regression Results

Variable Type

Log Odds

Interpretation

Continuous variable

a one-unit increase in price importance rating results in decrease of log odds by 1.45

a one-unit increase in price importance rating decreases the probability of buying organic food by 19%

Continuous variable

a one unit increase in quality rating results in increase of log odds by 0.66

a one unit increase in quality rating increases the probability of buying organic food by 66%

Continuous variable

a one unit increase in sustainability importance rating results in increase of log odds by 0.43

a one unit increase in sustainability importance rating increases the probability of buying organic food by 61%

Continuous variable

a one unit increase in health importance rating results in increase in log odds by 0.58,

a one unit increase in health importance rating increases the probability of buying organic food by 64%

Continuous variable

A one unit increase in taste rating results in decrease in log odds by 0.65

A one unit increase in taste rating decreases the probability of buying organic food by 34%

Dummy variable

Consumers aged between 31-35 years old increase log odds by 0.95

Probability of buying organic food for consumers aged between 31-35 are 72% higher than consumers aged from 18 to 25

Dummy variable

Not be able to recognize USDA label decrease log odds by 1.03

Probability of buying organic food are 26% lower for consumers who are NOT able to recognize USDA labels than consumers who are able to recognize USDA labels

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FACTOR FREQUENCY

Price 51

Availability 40

Local 36

Freshness (Expiration Date) 31

Quality 22

Health Concern 21

No Chemicals or Pesticide-free 14

Non-GMO 12

Origin (Country) 11

Notes: Highlighted are the factors included in our regression model already

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The Organic Food Team

Cornell University

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The Organic Food Team

Cornell University

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The Organic Food Team

Cornell University

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The Organic Food Team

Cornell University

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Conclusion

  • Most significant quantitative factors:  Price, quality, sustainability, health, taste, age 31-35 and recognize as USDA Organic

  • Most important qualitative factors to increase willingness to pay: availability, produced locally, freshness (expiration date), price, quality, health concerns, taste

  • The most purchased organic food sector: egg/poultry

  • The most unsatisfied sector with the past purchase: fresh produce and meat