Consumers’ Willingness to Pay for Imported Milk: Based on Shanghai, China
Abstract
:1. Introduction
2. Methods
2.1. Theoretical Framework and Empirical Model
2.2. Experiment Design
2.2.1. Attribute and Level Settings
2.2.2. Questionnaire Design
2.3. Experimental Organization and Implementation
3. Results
3.1. Description of Sample
3.2. Model Estimation and Results
3.2.1. Estimation Results of the RPL Model
3.2.2. Estimation Results of the LCL Model
3.2.3. Economic Valuation Results
3.2.4. Explaining Differences in Consumers’ Valuation
4. Conclusions
- (a)
- The RPL results found that flavor is considered the most preferred attribute, followed by the nutrition claim, fat content, and country of origin attributes. For the flavor attribute, consumers prefer plain imported milk most, and are willing to pay additional prices to avoid strawberry- and banana-flavored imported milk. With regard to the fat content attribute, consumers like skim imported milk more. Furthermore, consumers are willing to pay an additional price for imported milk with the nutrition claim “contains vitamin A, vitamin D” and the nutrition claim “contains calcium, iron, zinc, vitamin D”. For the attribute of country of origin, consumers like Germany most, followed by New Zealand.
- (b)
- The results of the LCL model indicated that consumers in Shanghai have heterogeneous preferences for the consumption of imported milk. Based on consumers’ varying preferences for imported milk properties, they can be delineated into four segments: “nutrition claim seekers,” “indifferent,” “flavor-oriented,” and “price-sensitive” consumers. Among the four segments of consumers, “nutrition claim seekers” are more concerned about and have the highest WTPs for nutrition claims. The impact of imported milk attributes on “indifferent” consumers is minimal. “Flavor-oriented” consumers strongly prefer strawberry-flavored imported milk. “Price-sensitive” consumers concentrate on price so that they pay a relatively low price for each imported milk attribute.
- (c)
- Slightly more women than men are “nutrition claim seekers,” and most are aged 25–34 years. They have a moderate income level and a high frequency of milk consumption. For most “nutrition claim seekers,” imported dairy products plays an important role in their daily life. In addition, they are most knowledgeable about nutrients, and use nutrition and health claims most frequently. “Indifferent” consumers are mainly younger males who consume milk least frequently. They also have a lower cognition rate of nutrients and pay the least attention to nutrition and health claims when shopping. Most “flavor-oriented” consumers are women, and their cognition rate of nutrients and frequency of use of nutrition and health claims are lower than those of “nutrition claim seekers” and “price-sensitive” consumers. “Price-sensitive” consumers concentrate on price, and the prices paid for each attribute are low. Their use frequency of nutrition and health claims is only lower than “nutrition claim seekers.”
- (a)
- On the one hand, the Chinese government should strengthen public education and promote scientific publicity of nutritionally enhanced food and their functions, especially among young male consumer groups. This would reinforce and extend consumers’ understanding of nutrients and other attributes, guiding them to scientifically use nutrition and health claims and improve their ability of judgment regarding purchasing nutritionally enhanced milk. On the other hand, the Chinese government should strengthen supervision of the quality and safety of imported milk, ensure its good quality and favorable price, and accurately and timeously announce the quality and safety test results of imported milk to guide consumers’ rational demand for these products.
- (b)
- According to different consumer groups, milk production enterprises which focus on the Chinese market can formulate differentiated products to meet consumers’ needs and to sharpen the competitive edge of their own products. For example, for “nutrition claim seekers,” who are aged 25–34 years, have a moderate income level, a relatively high frequency of milk consumption, and prefer milk with nutrition claims, producers can produce milk that is skim, plain, contains vitamin A and vitamin D, or contains Ca, Fe, Zn, and vitamin D. For households with children or the elderly, producers can produce low-fat milk with a high calcium content. Finally, for consumers having a country of origin preference, Chinese overseas milk investment enterprises can select Germany and New Zealand as their milk production bases.
5. Limitations
- The results are biased, because we considered a sample in Shanghai that is already familiar with the imported milk and has a relatively high recognition of nutrition claims. We didn’t consider other consumers who are not familiar with nutrition claims and imported milk. In the future, we should compare our results with the behavior of consumers who are not familiar with nutrition claims to see whether there is a difference.
- Due to the high cost, our research was biased on the choice experiment rather than the real choice experiment, which may overestimate consumers’ willingness to pay for imported milk.
- We designed the level of the price attribute in the choice experiment according to the real price of the normal imported milk on the Chinese market and from previous studies. We acknowledge that the range of price levels (4.5, 5.8, 7.1 and 8.4) may be too small to reflect the cost incurred in nutrition claims, fat content, country of origin. This may cause the WTP for attributes to be particularly high, not only for the nutrition claim attributes, but also for other attributes studied in this paper.
- The fourth limitation of our paper is that we allowed the respondents to evaluate their knowledge about nutrients on their own, which may not reflect their level of knowledge clearly.
Author Contributions
Funding
Conflicts of Interest
References
- Wang, D.M. E-Commerce-the new darling of future dairy marketing channels. China Dairy Cattle 2014, 13, 51–52. [Google Scholar]
- Ma, S.Z.; Guo, J.W.; Zhang, H.S. Trade Cost Reduction Effect of Cross-border E-commerce:Mechanism and Evidence. Int. Econ. Trade Res. 2019, 35, 70–86. [Google Scholar]
- Wang, J.H.; Gao, Z.Q.; Shen, M.M. Recognition of Consumers’ Characteristics of Purchasing Farm Produce with Safety Certificates and Their Influencing Factors. Int. J. Environ. Res. Public Health 2018, 15, 2879. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Yin, S.J.; Li, Y.; Xu, Y.J.; Chen, M.; Wang, Y.Q. Consumer preference and willingness to pay for the traceability information attribute of infant milk formula: Evidence from a choice experiment in China. Brit. Food J. 2017, 119, 1276–1288. [Google Scholar] [CrossRef]
- Mintel. Mintel China Beverage Report-Dairy Product Consumption Trends. Available online: https://china.mintel.com/baogao-yinliao-ruzhipin-xiaofei-qushi (accessed on 21 March 2018).
- Huicong. In 2018, Imported Milk Once Again Captured the Liquid Milk Market. Available online: http://info.service.hc360.com/2017/12/271115518063.shtm (accessed on 27 December 2017).
- Zhang, H.; Wang, W.Y.; Duan, Y.Q.; Ren, X.F.; Ma, H.L.; Jia, J.D. Trends, Key Points and Policy Suggestions for Functional Food Innovation in China. Food Ind. Technol. 2015, 8, 361–364. [Google Scholar]
- Yan, X.S.; Zhou, X.Y.; Xu, H.Q.; Guo, Y.Z. The Experience of American Food Nutrition Strengthening Development and Its Enlightenment to China. China Agric. Sci. Technol. Her. 2017, 19, 8–13. [Google Scholar]
- Shao, D.Q.; Wang, S.; Yu, Y.B. Micronutrient fortified crop food and consumer demand research. J. Chin. Cereals 2017, 11, 194–198. [Google Scholar]
- Efthimia, T.; Konstadinos, M.; Helen, T.; Elisavet, T. Purchasing fresh produce on the basis of food safety, origin and traceability labels. J. Food Prod. Mark. 2011, 17, 211–226. [Google Scholar]
- Erdem, S.; Rigby, D.; Wossink, A. Who is most responsible for ensuring the meat we eat is safe? Food Safety and Nutrition Track Session Summary. In Proceedings of the AAEA, CAES, &WAEA Joint Annual, Denver, CO, USA, 25–27 July 2010. [Google Scholar]
- Loureiro, M.L.; Umberger, W.J. A choice experiment model for beef: What US consumer responses tell us about relative preferences for food safety, country-of-origin labeling and traceability. Food Policy 2007, 32, 496–514. [Google Scholar] [CrossRef]
- Hoffmann, R. Country of origin—A consumer perspective of fresh meat. Br. Food J. 2000, 102, 211–221. [Google Scholar] [CrossRef] [Green Version]
- Elliott, G.R.; Cameron, R.C. Consumer Perception of Product Quality and the Country-of-Origin Effect. J. Int. Mark. 1994, 2, 49–62. [Google Scholar] [CrossRef] [Green Version]
- Schupp, A.; Gillespie, J. Consumer attitudes toward potential country-of-origin labeling of fresh and frozen beef. J. Food Distrib. Res. 2001, 32, 34–44. [Google Scholar]
- Loureiro, M.; Umberger, W.J. Estimating Consumer Willingness to Pay for Country-of-Origin Labeling. J. Agric. Res. Econ. 2003, 28, 287–301. [Google Scholar]
- Alfnes, F. Stated preferences for imported and hormone-treated beef: Application of a mixed logit model. Eur. Rev. Agric. Econ. 2004, 31, 19–37. [Google Scholar] [CrossRef]
- Mennecke, B.E.; Townsend, A.M.; Hayes, D.J.; Lonergan, S.M. A study of the factors that influence consumer attitudes toward beef products using the conjoint market analysis tool. J. Anim. Sci. 2007, 85, 2639–2659. [Google Scholar] [CrossRef] [Green Version]
- Kim, R.; Suwunnamek, O.; Toyoda, T. Consumer Attitude towards Organic Labeling Schemes in Japan. J. Int. Food Agribus. Mark. 2008, 20, 55–71. [Google Scholar] [CrossRef]
- Pouta, E.; Heikkilä, J.; Forsman-Hugg, S.; Isoniemi, M.; Mäkelä, J. Consumer choice of broiler meat: The effects of country of origin and production methods. Food Qual. Prefer. 2010, 21, 539–546. [Google Scholar] [CrossRef]
- Tempesta, T.; Vecchiato, D. An analysis of the territorial factors affecting milk purchase in Italy. Food Qual. Prefer. 2013, 27, 35–43. [Google Scholar] [CrossRef]
- Lee, J.Y.; Bong Han, D.; Rodolfo, M.; Nayga, J.; Yoon, J.M. Assessing Korean consumers’ valuation for domestic, Chinese, and US rice. China Agric. Econ. Rev. 2014, 6, 125–138. [Google Scholar]
- Xie, J.; Gao, Z.; Swisher, M.; Zhao, X. Consumers’ preferences for fresh broccolis: Interactive effects between country of origin and organic labels. Agric. Econ. 2016, 47, 181–191. [Google Scholar] [CrossRef]
- Ortega, D.L.; Hong, S.J.; Wang, H.H.; Wu, L.P. Emerging markets for imported beef in China: Results from a consumer choice experiment in Beijing. J. Meat Sci. 2016, 121, 317–323. [Google Scholar] [CrossRef] [PubMed]
- Schjøll, A. Country-of-origin preferences for organic food. Org. Agric. 2017, 7, 315–327. [Google Scholar] [CrossRef]
- Hinkes, C.; Schulze-Ehlers, B. Consumer attitudes and preferences towards pangasius and tilapia: The role of sustainability certification and the country of origin. Appetite 2018, 127, 171–181. [Google Scholar] [CrossRef] [PubMed]
- Brayden, W.C.; Noblet, C.L.; Evans, K.S.; Rickard, L. Consumer preferences for seafood attributes of wild-harvested and farm-raised products. Aquac. Econ. Manag. 2018, 22, 362–382. [Google Scholar] [CrossRef]
- Uzmay, A.; Cinar, G. Factors Affecting the Domestic and Imported Cattle Meat Consumption Probability of Consumers in Turkey. J. Agric. Sci. Technol. 2017, 19, 501–510. [Google Scholar]
- Nuttavuthisit, K.; Thøgersen, J. The importance of consumer trust for the emergence of a market for green products: The case of organic food. J. Bus. Ethics 2017, 140, 323–337. [Google Scholar] [CrossRef]
- Thøgersen, J.; Pedersen, S.; Aschemann-Witzel, J. The impact of organic certification and country of origin on consumer food choice in developed and emerging economies. Food Qual. Prefer. 2019, 72, 10–30. [Google Scholar] [CrossRef]
- Yin, S.J.; Gao, Y.; Wu, L.H. Constructing the Food Safety Co-Governance System with Chinese Characteristics; The People Press: Beijing, China, 2017. [Google Scholar]
- Yin, S.J.; Lv, S.S.; Chen, Y.S.; Wu, L.H.; Chen, M.; Yan, J. Consumer preference for infant milk-based formula with select food safety information attributes: Evidence from a choice experiment in China. Can. J. Agric. Econ. 2018, 66, 557–569. [Google Scholar] [CrossRef]
- Lancaster, K.J. A New Approach to Consumer Theory. J. Political Econ. 1996, 74, 132–157. [Google Scholar] [CrossRef]
- Train, K.E. Discrete Choice Methods with Simulation, 2nd ed.; Cambridge University Press: Cambridge, UK, 2009. [Google Scholar]
- Ortega, D.L.; Wang, H.H.; Wu, L.; Olynk, N. Modeling heterogeneity in consumer preferences for select food safety attributes in China. Food Policy 2011, 36, 318–324. [Google Scholar] [CrossRef] [Green Version]
- Greene, W.H.; Hensher, D.A. A Latent Class Model for Discrete Choice Analysis: Contrasts with Mixed Logit. Transp. Res. Part B Methodol. 2003, 37, 681–698. [Google Scholar] [CrossRef]
- Lusk, J.L.; Roosen, J.; Fox, J.A. Demand for beef from cattle administered growth hormones or fed genetically modified corn: A comparison of consumers in France, Germany, the United Kingdom, and the United States. Am. J. Agric. Econ. 2003, 85, 16–29. [Google Scholar] [CrossRef] [Green Version]
- Hanley, N.; Wright, R.E.; Adamowicz, V. Using Choice Experiments to Value the Environment. Environ. Resour. Econ. 1998, 11, 413–428. [Google Scholar] [CrossRef]
- Aschemann-Witzel, J.; Zielke, S. Can’t buy me green? A review of consumer perceptions of and behavior toward the price of organic food. J. Consum. Aff. 2015, 51, 1–41. [Google Scholar] [CrossRef]
- Baghurst, K. Nutritional recommendations for the general population. In Essentials of Human Nutrition; Mann, J., Truswell, A.S., Eds.; Oxford University Press: Oxford, UK, 2007. [Google Scholar]
- Miklavec, K.; Pravst, I.; Grunert, K.G.; Klopcic, M.; Pohar, J. The influence of health claims and nutritional composition on consumers’ yoghurt preferences. Food Qual. Prefer. 2015, 43, 26–33. [Google Scholar] [CrossRef]
- Johansen, S.B. Motivation for choice and healthiness perception of calorie-reduced dairy products. A cross-cultural study. Appetite 2011, 56, 15–24. [Google Scholar] [CrossRef]
- Tuorila, H. Selection of milks with varying fat contents and related overall liking, attitudes, norms and intentions. Appetite 1987, 8, 1–14. [Google Scholar] [CrossRef]
- Chapman, K.W.; Lawless, H.T. Sources of error and the no-preference option in dairy product testing. J. Sens. Stud. 2005, 20, 454–468. [Google Scholar] [CrossRef]
- Harwood, W.S.; Drake, M.A. Identification and characterization of fluid milk consumer groups. J. Dairy Sci. 2018, 101, 8860–8874. [Google Scholar] [CrossRef] [Green Version]
- Yasmine, H.; John, H.; Ammar, O.; Nadia, S.; Tharwat, H.; Imad, T. Mapping determinants of purchase intent of concentrated yogurt (Labneh) by conjoint analysis. Food Qual. Prefer. 2007, 18, 795–802. [Google Scholar]
- Getter, K.L.; Behe, B.K.; Conner, D.S.; Howard, P.H. Pasture-Raised Milk: The Market for a Differentiated Product. J. Food Prod. Mark. 2014, 20, 146–161. [Google Scholar] [CrossRef]
- Cerjak, M.; Tomić, M. Buying Motives and Trust of Young Consumers for Functional Fermented Dairy Products: Evidence from Croatian Students. J. Int. Food Agribuss. Mark. 2015, 27, 177–187. [Google Scholar] [CrossRef]
- Ares, G.; Giménez, A.; Deliza, R. Influence of three non-sensory factors on consumer choice of functional yogurts over regular ones. Food Qual. Prefer. 2010, 21, 361–367. [Google Scholar] [CrossRef]
- Ares, G.; Gámbaro, A. Influence of gender, age and motives underlying food choice on perceived healthiness and willingness to try functional foods. Appetite 2007, 49, 148–158. [Google Scholar] [CrossRef]
- National Institutes of Health. Calcium Fact Sheet for Health Professionals. Available online: https://ods.od.nih.gov/factsheets/Calcium?HealthProfessional/ (accessed on 13 October 2017).
- Abbaspour, N.; Hurrell, R.; Kelishadi, R. Review on iron and its importance for human health. Res. J. Med. Sci. 2014, 19, 164–174. [Google Scholar]
- Diet Healthy. BENEFITS of Zinc-an Essential Mineral for Brain and Body-Get Enough through Diet or Supplements. Available online: http://www..healthy-diet-healthy-you.com/benefits-of-zinc.html (accessed on 29 August 2014).
- Wimalawansa, S.J. Non-musculoskeletal Benefits of Vitamin D. J. Steroid Biochem. Mol. Boil. 2016, 175, 60–81. [Google Scholar] [CrossRef]
- Holick, M.F. Sunlight, UV-radiation, vitamin D and skin cancer: How much sunlight do we need. Adv. Exp. Med. Biol. 2008, 624, 1–15. [Google Scholar]
- Rossi, P.E.; Culloch, R.E.; Allenby, G.M. The value of purchase history data in target marketing. Mark. Sci. 1996, 15, 321. [Google Scholar] [CrossRef]
- Adamowicz, W.; Boxal, P.; Williams, M.; Louviere, J. Stated preference approaches for measuring passive use values: Choice experiments and contingent valuation. Am. J. Agric. Econ. 1998, 80, 64–75. [Google Scholar] [CrossRef]
- Hassan, S.H.; Mustapha, Y.A. Malaysian Consumer Knowledge and Preferred Information Sources in Selecting Functional Foods. J. Agribus. Mark. 2010, 3, 20–39. [Google Scholar]
- Gulseven, O.; Wohlgenant, M. Demand for functional and nutritional enhancements in specialty milk products. Appetite 2014, 81, 284–294. [Google Scholar] [CrossRef] [PubMed]
- Zhang, D.F.; Deng, M.C. Current status and development trend of nutritional fortified food in China. Mod. Food 2016, 3, 1–2. [Google Scholar]
- Ubilava, D.; Foster, K. Quality certification vs. product traceability: Consumer preferences for informational attributes of pork in Georgia. Food Policy 2009, 34, 305–310. [Google Scholar] [CrossRef]
- Empen, J.; Hamilton, S.F. How Do Supermarkets Respond to Brand-Level Demand Shocks? Evidence from the German Beer Market. Am. J. Agric. Econ. 2013, 95, 1223–1229. [Google Scholar] [CrossRef]
- Yue, F.; Arbiol, J.; Nomura, H.; Yabe, M. Preferences and Willingness to Pay for Organic Milk among Urban Consumers in Dalian, China. J. Fac. Agric. KYUSHU Univ. 2015, 60, 501–509. [Google Scholar]
- Yang, P.; Liu, S.L.; Xiu, C.B. Joint analysis of Qingdao consumers’ preference for liquid milk properties. Chin. Food Nutr. 2014, 20, 51–55. [Google Scholar]
- Swait, J. A Structural Equation Model of Latent Segmentation and Product Choice for Cross-Sectional Revealed Preference Choice Data. J. Retail. Consum. Serv. 1994, 1, 77–89. [Google Scholar] [CrossRef]
- Gulseven, O.; Wohlgenant, M. What are the factors affecting the consumers’ milk choices? Agric Econ. (Zemědělská Ekonomika) 2017, 63, 271–282. [Google Scholar]
- Francesco, B.; Alessandro, B.; Giuseppe, N.; Rosaria, V.; Gianluca, N.; Biagia, D.D.; Domenico, C. Consumers’ acceptance and preferences for nutrition-modified and functional dairy products: A systematic review. Appetite 2017, 113, 141–154. [Google Scholar]
- Wardle, J.; Haase, A.M.; Steptoe, A.; Nillapun, M.; Jonwutiwes, K.; Bellisie, F. Gender differences in food choice: The contribution of health beliefs and dieting. Ann. Behav. Med. 2004, 27, 107–116. [Google Scholar] [CrossRef]
- Huffman, S.K.; Jensen, H.H. Demand for Enhanced Foods and the Value of Nutritional Enhancements of Food: The Case of Margarines. In Proceedings of the 2004 Annual meeting, Denver, CO, USA, 1–4 August 2004. [Google Scholar]
- van Kleef, E.; van Trijp, H.C.M.; Luning, P. Functional foods: Health claim-food product compatibility and the impact of health claim framing on consumer evaluation. Appetite 2005, 44, 299–308. [Google Scholar] [CrossRef] [PubMed]
- Williams, P.; Ridges, L.; Batterham, M.; Ripper, B.; Hung, M.C. Australian consumer attitudes to health claim—food product compatibility for functional foods. Food Policy 2008, 33, 640–643. [Google Scholar] [CrossRef] [Green Version]
Attributes | Levels |
---|---|
Fat content | Whole milk |
Skim milk | |
Flavor | Plain |
Strawberry flavor | |
Banana flavor | |
Nutrition claim | Contains vitamin A, vitamin D |
Contains Ca, Fe, Zn, vitamin D | |
No claim | |
Country of origin | New Zealand |
Germany | |
France | |
Price | 4.5 yuan/box |
5.8 yuan/box | |
7.1 yuan/box | |
8.4 yuan/box |
Characteristics | Sample (n = 310) | Nutrition Claim Seekers (n = 178) | Indifferent (n = 20) | Flavor-Oriented (n = 45) | Price-Sensitive (n = 67) |
---|---|---|---|---|---|
Gender *** | |||||
Male | 43.9% | 41.6% | 80.0% | 28.9% | 49.3% |
Female | 56.1% | 58.4% | 20.0% | 71.1% | 50.7% |
Age *** | |||||
18–24 | 21.0% | 18.5% | 45.0% | 26.7% | 16.4% |
25–34 | 54.8% | 57.9% | 30.0% | 55.5% | 53.7% |
35–44 | 16.8% | 18.0% | 10.0% | 11.1% | 19.5% |
≥45 | 7.4% | 5.6% | 15.0% | 6.7% | 10.4% |
Education Level | |||||
Primary school or lower | 3.2% | 2.2% | 10.0% | 4.4% | 3.0% |
Middle school | 11.3% | 12.4% | 10.0% | 17.8% | 4.5% |
High school | 21.9% | 18.5% | 15.0% | 31.1% | 26.9% |
Junior college | 27.1% | 27.0% | 20.0% | 24.5% | 31.3% |
Undergraduate | 31% | 34.3% | 30.0% | 22.2% | 28.3% |
Master or above | 5.5% | 5.6% | 15.0% | 0% | 6.0% |
Annual household income (yuan) | |||||
50,000 yuan or less | 14.2% | 12.9% | 5.0% | 20.0% | 16.4% |
51,000–100,000 yuan | 31.6% | 34.8% | 25.0% | 22.2% | 31.3% |
101,000–150,000 yuan | 24.5% | 24.7% | 35.0% | 33.3% | 14.9% |
151,000–200,000 yuan | 14.8% | 14.0% | 10.0% | 13.4% | 19.4% |
201,000–300,000 yuan | 7.4% | 6.8% | 15.0% | 4.4% | 9.0% |
300,000 yuan or above | 7.4% | 6.8% | 10.0% | 6.7% | 9.0% |
Weekly milk consumption *** | |||||
Never drink | 4.2% | 2.8% | 15.0% | 4.5% | 4.5% |
1–2 times | 30% | 28.1% | 35.0% | 33.3% | 31.3% |
3–4 times | 33.5% | 34.3% | 30.0% | 40.0% | 28.4% |
5–6 times | 19.4% | 18.0% | 15.0% | 20.0% | 23.9% |
Drink every day | 12.9% | 16.8% | 5.0% | 2.2% | 11.9% |
Have you ever heard of or bought nutritionally enhanced food *** | |||||
I have heard of and purchased | 27.1% | 28.1% | 20.0% | 26.7% | 26.9% |
I have heard of but not purchased | 31.9% | 32.0% | 35.0% | 33.3% | 29.8% |
Never heard of | 41.0% | 39.9% | 45.0% | 40.0% | 43.3% |
Percentage of imported dairy products in the purchase of dairy products *** | |||||
0–10% | 56.1% | 50.0% | 65.0% | 75.6% | 56.7% |
10–30% | 21.3% | 27.0% | 20.0% | 11.1% | 13.4% |
30–50% | 12.9% | 10.6% | 5.0% | 11.1% | 22.4% |
>50% | 9.7% | 12.4% | 10.0% | 2.2% | 7.5% |
Variables | RPL Model | LCL Model | |||
---|---|---|---|---|---|
Nutrition Claim Seekers | Indifferent | Flavor-Oriented | Price-Sensitive | ||
Price | −0.1173 *** | −0.0123 | −12.2229 | −0.0659 | −0.3067 *** |
Skim | 0.1768 *** | 0.11268 *** | 2.9184 | −0.0248 | 0.2316 * |
Strawberry flavor | −0.3494 *** | −0.16941 *** | −4.5124 | 0.4306 *** | −1.2052 *** |
Banana flavor | −0.5220 *** | −0.1829 *** | −9.2510 | −0.5080 *** | −1.5179 *** |
Claim “contains vitamin A, vitamin D” | 0.1099 ** | 0.0889 * | −2.7476 | 0.3911 *** | −0.0257 |
Claim “contains Ca, Fe, Zn, vitamin D” | 0.2235 *** | 0.1579 *** | 13.3683 | −0.1502 | 0.3771 ** |
New Zealand | 0.0165 | −0.0307 | −4.1950 | 0.3130 ** | 0.1014 |
Germany | 0.1660 *** | 0.1040 ** | 7.0849 | 0.0067 | 0.2900 |
Chooseno | −1.3381 *** | −2.0426 *** | −93.7504 | 0.3928 | −1.2880 ** |
Standard deviation estimation | |||||
Skim | 0.2953 *** | − | − | − | − |
Strawberry flavor | 0.7066 *** | − | − | − | − |
Banana flavor | 0.6153 *** | − | − | − | − |
Claim “contains vitamin A, vitamin D” | 0.3656 *** | − | − | − | − |
Claim “contains Ca, Fe, Zn, vitamin D” | 0.3912 *** | − | − | − | − |
New Zealand | 0.2194 * | − | − | − | − |
Germany | 0.2569 ** | − | − | − | − |
Class Prob. | NA | 0.5734 | 0.0655 | 0.1462 | 0.2149 |
Number of observations | 3410 | 1958 | 220 | 495 | 737 |
Pseudo R-squared | 0.1268 | 0.1727 | |||
Log-likelihood | −3271.0879 | −3099.3374 | |||
3410 |
Segments | Parameters (P) | Log Likelihood (LL) | AIC | AIC3 | BIC | ρ2 |
---|---|---|---|---|---|---|
2 | 19 | −3184.81366 | 6407.62732 | 6426.62732 | 3262.0911 | 0.14480 |
3 | 29 | −3136.65355 | 6331.30710 | 6360.30710 | 3254.6033 | 0.15498 |
4 | 39 | −3099.33742 | 6276.67484 | 6315.67484 | 3257.9595 | 0.15707 |
5 | 49 | −3100.68036 | 6299.36072 | 6348.36072 | 3299.9748 | 0.15925 |
Variables | The Sample | Nutrition Claim Seekers | Indifferent | Flavor-Oriented | Price-Sensitive |
---|---|---|---|---|---|
Skim | 3.016 [1.936,4.096] | 18.292 [9.063,27.521] | 0.478 [−0.364,1.319] | −0.753 [−7.741,6.262] | 1.510 [−0.140,3.161] |
Strawberry flavor | −5.959 [−7.727,−4.190] | −27.501 [−41.364,−13.641] | −0.738 [−2.078,0.602] | 13.067 [4.245,21.889] | −7.859 [−10.635,−5.084] |
Banana flavor | −8.902 [−10.691,−7.114] | −29.685 [−45.924,−13.446] | −1.514 [−4.095,1.067] | −15.414 [−26.349,−4.480] | −9.898 [−12.869,−6.928] |
Claim “contains vitamin A, vitamin D” | 1.874 [0.306,3.441] | 14.427 [−0.875,29.729] | −0.450 [−1.318,0.419] | 11.868 [3.600,20.137] | −0.168 [−2.543,2.207] |
Claim “contains Ca, Fe, Zn, vitamin D” | 3.812 [2.299,5.325] | 25.638 [11.253,40.021] | 2.187 [−1.580,5.955] | −4.557 [−13.565,4.451] | 2.459 [0.098,4.821] |
New Zealand | 0.281 [−1.134,1.695] | −4.989 [−19.041,9.063] | −0.686 [−1.734,0.361] | 9.498 [0.370,18.626] | 0.661 [−1.707,3.029] |
Germany | 2.831 [1.378,4.284] | 16.888 [3.044,30.732] | 1.159 [−1.058,3.376] | 0.203 [−8.843,9.249] | 1.891 [−0.629,4.412] |
Sample | Nutrition Claim Seekers | Indifferent | Flavor-Oriented | Price-Sensitive | Sig. | |
---|---|---|---|---|---|---|
Knowledge on carbohydratesa | 77.7% | 80.2% | 76.2% | 65.2% | 80.3% | 0.000 |
Knowledge on fibrea | 78.4% | 81.4% | 61.9% | 74.0% | 78.8% | 0.000 |
Knowledge on cholesterola | 78.7% | 83.1% | 81.0% | 60.9% | 78.8% | 0.000 |
Importance of claims on fatb | 3.175 | 3.237 | 2.857 | 3.064 | 3.182 | 0.000 |
Importance of claims on sugarsb | 3.196 | 3.209 | 2.667 | 3.175 | 3.333 | 0.000 |
Importance of claims on vitaminsb | 3.404 | 3.457 | 2.952 | 3.306 | 3.470 | 0.000 |
Importance of health claims in generalb | 4.010 | 4.079 | 4.095 | 3.827 | 3.924 | 0.000 |
Importance of claims on “Omega-3 fatty acids help to maintain heart health”b | 3.495 | 3.536 | 2.905 | 3.456 | 3.606 | 0.000 |
Importance of claims on “Zinc and iron contributes to normal cognitive brain function”b | 3.778 | 3.831 | 3.238 | 3.782 | 3.803 | 0.000 |
I often use health claims on food while food shoppingb | 3.050 | 3.203 | 2.381 | 2.868 | 2.970 | 0.000 |
I often use nutrition claims on food while food shoppingb | 3.071 | 3.179 | 2.619 | 2.825 | 3.106 | 0.000 |
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Xu, L.; Yang, X.; Wu, L. Consumers’ Willingness to Pay for Imported Milk: Based on Shanghai, China. Int. J. Environ. Res. Public Health 2020, 17, 244. https://doi.org/10.3390/ijerph17010244
Xu L, Yang X, Wu L. Consumers’ Willingness to Pay for Imported Milk: Based on Shanghai, China. International Journal of Environmental Research and Public Health. 2020; 17(1):244. https://doi.org/10.3390/ijerph17010244
Chicago/Turabian StyleXu, Lingling, Xixi Yang, and Linhai Wu. 2020. "Consumers’ Willingness to Pay for Imported Milk: Based on Shanghai, China" International Journal of Environmental Research and Public Health 17, no. 1: 244. https://doi.org/10.3390/ijerph17010244
APA StyleXu, L., Yang, X., & Wu, L. (2020). Consumers’ Willingness to Pay for Imported Milk: Based on Shanghai, China. International Journal of Environmental Research and Public Health, 17(1), 244. https://doi.org/10.3390/ijerph17010244