COFFEE MARKET IN CHINA
2018
- 8,806Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage8,806
- Downloads5,748
- 5,748
- Abstract Views3,058
- 3,058
Thesis / Dissertation Description
Although China is generally known as a tea-consuming country, both the production and consumption of coffee in China has seen double-digit growth in the last decade. This upward trend is projected to continue as long as investment is sustained and levels of disposable income continue to increase. In this rapidly expanding market, it is important for coffee producers and retailers in China to understand the preferences of emerging Chinese coffee consumers. Using survey data from Hubei and Zhejiang, China, we apply a Tobit regression model to analyze Chinese coffee consumers. Results show that the length of time consumers have been regularly drinking coffee, their self-assessed knowledge of coffee, and their taste preferences with regard to a variety of coffee products are all important factors in explaining Chinese coffee consumer trends. We suggest that coffee producers and retailers in China focus on improving the quality of their products to achieve long-term success.
Bibliographic Details
University of Kentucky Libraries
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