Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     A Study on Consumer Intentional Behavior of the Promotion of Green Food Mark and Green Food Hotel in


A Study on Consumer Intentional Behavior of the Promotion of Green Food Mark and Green Food Hotel in Taiwan Using Quantiles Regression Analysis

Ying-Chang Chen
Department of Hotel and Restaurant Management, Ching Kuo Institute of Management and Health, Fuxing Rd, Zhongshan District, Keelung City, Taiwan
A Study on Consumer Intentional Behavior of the Promotion of Green Food Mark and Green Food Hotel in  2016  3:222-227
http://dx.doi.org/10.19026/ajfst.10.2058  |  © The Author(s) 2016
Received: May ‎20, ‎2015  |  Accepted: June ‎19, ‎2015  |  Published: January 25, 2016

Abstract

This study applied Principle Component Analysis to explore the principal components of the questionnaire items and designates the principle components according to the meanings of the question items. Next, this study combined the principle components and basic data to conduct Quantiles Regression Analysis, in order to understand how the basic question items affect the principle components in the case of different quantiles. Finally, this study applied Grey Relational Analysis in discussing the most satisfactory principle components of consumer intentions of green food consumption, such as green food mark and green food hotels. The results showed that, people with environmental protection knowledge are more acceptable to green food mark; while the green food hotel is less profitable; therefore, relevant governmental agencies may improve the intentions of relevant industries through subsidies or incentives.

Keywords:

Green food hotel, green food mark, grey relational, principle component, quantiles regression,


References

  1. Deng, J.L., 1989. Multi-dimensional Grey Planning. Huazhong University of Science and Technology Press, China.
  2. Hsia, K.H. and H.H. Wu, 1998. A discussion on linear data preprocessing of grey relational analysis. J. Grey Syst., 1(1): 47-53.
  3. Koenker, R. and G. Bassett, 1978. Regression quantiles. Econometrica, 46: 33-50.
    CrossRef    
  4. Kung, F.C. and Y.F. Tseng, 2004. The study on green food consume cognitions for consumers of international tourist hotels in Taiwan. J. Chinese Manage. Rev., 5(2): 37-51.
  5. Li, G.Q., S.W. Xu, Z.M. Li, Y.G. Sun and X.X. Dong, 2012. Using quantile regression approach to analyze price movements of agricultural products in China. J. Integr. Agric., 11(4): 674-683.
    CrossRef    
  6. Li, W.K. and B.F. Wang, 2006. Study of relative factors of behavior on green food hotel accommodation. Proceeding of the Academic Seminar on Tourism Recreation and Catering Industry Sustainable Business Operation.
  7. Lin, S.Y., T.C. Chiou and M.J. Lee, 2005. A study on the application of grey correlation analysis in assessment of securities reputation. J. Risk Manage., 7(1): 79-98.
  8. Ma, K.I., H.S. Chang and R. Lin, 2008. An exploratory study on the concept development and cases of green food hotel. J. De Lin Inst. Technol., 22: 341-348.
  9. Okada, K. and S. Samreth, 2012. The effect of foreign aid on corruption: A quantile regression approach. Econ. Lett., 115(2): 240-243.
    CrossRef    
  10. Pan, W.T., 2014. Using data mining for service satisfaction performance analysis for mainland tourists in Taiwan. Int. J. Technol. Manage., 64(1): 31-44.
    CrossRef    
  11. Saha, S. and J.J. Su, 2012. Investigating the interaction effect of democracy and economic freedom on corruption: A cross-country quantile regression analysis. Econ. Anal. Policy, 42(3): 389-396.
    CrossRef    
  12. Wei, C.C., 2012. A study on consumer recognition. Intentional behavior of promotion of green food mark and green food hotel in Penghu. M.A. Thesis, Graduate Institute of Tourism and Leisure Management, National Penghu University of Science and Technology.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved