Understanding the determinants of consumers f willingness to pay for eco-labeled products: An empirical analysis of the China Environmental Label
This study applies data from a web-based survey conducted in mainland China to examine the determinants of consumers f willingness to pay (WTP) for seven different product categories awarded with China Environmental Label and compare the mean WTP estimates among these categories. The Interval Regression method is used for estimation. The results indicate that Chinese consumers who regard environmental conservation as being more important than life convenience, who believe purchasing the eco-labeled products is good for the environment, and who have the experience in purchasing eco-labeled products are willing to pay more for those products with environmental label or eco-label. In addition, socio-demographic characteristics such as gender, age, education and household income are found to be important factors to affect Chinese consumers f WTP amounts. Finally, the results of pair-wise comparison among the mean WTP estimates of various eco-labeled products indicate that most of them are different, which implies that the degrees of Chinese consumers f willingness to pay extra money for China Environmental Label are different based on the types of products.
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- Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
- Cameron, Trudy Ann, 1992.
"The impact of grouping coarseness in alternative grouped-data regression models,"
Journal of Econometrics,
Elsevier, vol. 52(3), pages 419-421, June.
- Cameron, Trudy Ann, 1987. "The impact of grouping coarseness in alternative grouped-data regression models," Journal of Econometrics, Elsevier, vol. 35(1), pages 37-57, May.
- T. A. Cameron, 1985. "The Impact of Grouping Coarseness in Alternative Grouped-Data Regression Models," UCLA Economics Working Papers 381, UCLA Department of Economics.
- Arnab K. Basu & Nancy H. Chau & Ulrike Grote, 2003. "Eco-Labeling and Stages of Development," Review of Development Economics, Wiley Blackwell, vol. 7(2), pages 228-247, 05.
- Johnston, Robert J. & Roheim, Cathy A. & Donath, Holger & Asche, Frank, 2001. "Measuring Consumer Preferences For Ecolabeled Seafood: An International Comparison," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
- Loureiro, Maria L. & Hine, Susan, 2002.
"Discovering Niche Markets: A Comparison of Consumer Willingness to Pay for Local (Colorado Grown), Organic, and GMO-Free Products,"
Journal of Agricultural and Applied Economics,
Cambridge University Press, vol. 34(03), pages 477-487, December.
- Loureiro, Maria L. & Hine, Susan E., 2002. "Discovering Niche Markets: A Comparison Of Consumer Willingness To Pay For Local (Colorado Grown), Organic, And Gmo-Free Products," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(03), December.
- Junyi Shen & Tatsuyoshi Saijo, 2007. "Does energy efficiency label alter consumers f purchase decision? A latent class approach on Shanghai data," OSIPP Discussion Paper 07E005, Osaka School of International Public Policy, Osaka University.
- Cason, T.N. & Gangadharan, L., 1999.
"Environmental Labeling and Incomplete Consumer Information in Laboratory Markets,"
Department of Economics - Working Papers Series
708, The University of Melbourne.
- Cason, Timothy N. & Gangadharan, Lata, 2002. "Environmental Labeling and Incomplete Consumer Information in Laboratory Markets," Journal of Environmental Economics and Management, Elsevier, vol. 43(1), pages 113-134, January.
- Lori M. Hunter & Alison Hatch & Aaron Johnson, 2004. "Cross-National Gender Variation in Environmental Behaviors," Social Science Quarterly, Southwestern Social Science Association, vol. 85(3), pages 677-694.
- Carson, Richard T. & Hanemann, W. Michael, 2006.
Handbook of Environmental Economics,
in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936
- Thomas Bue Bjorner & Lars Garn Hansen & Clifford S. Russell, 2002.
"Environmental Labelling and Consumer's Choice - An Empirical Analysis of the Effect of the Nordic Swan,"
Vanderbilt University Department of Economics Working Papers
0203, Vanderbilt University Department of Economics.
- Bjorner, Thomas Bue & Hansen, L.G.Lars Garn & Russell, Clifford S., 2004. "Environmental labeling and consumers' choice--an empirical analysis of the effect of the Nordic Swan," Journal of Environmental Economics and Management, Elsevier, vol. 47(3), pages 411-434, May.
- Wanki Moon & Wojciech J. Florkowski & Bernhard Brückner & Ilona Schonhof, 2002. "Willingness to Pay for Environmental Practices: Implications for Eco-Labeling," Land Economics, University of Wisconsin Press, vol. 78(1), pages 88-102.
- Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
- Cameron, Trudy Ann & Huppert, Daniel D., 1989. "OLS versus ML estimation of non-market resource values with payment card interval data," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 230-246, November.
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