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Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin

Author

Listed:
  • Cheng, Leilei
  • Yin, Changbin
  • Chien, Hsiaoping
Abstract
Urban households account for most of the milk consumption in China, but their consumption is hampered by safety concerns. Using survey data collected in Beijing and Harbin in 2010, this paper simultaneously analyses urban households’ milk consumption using a multiple linear model and their willingness-to-pay for milk safety using an ordered choice model. The results of this study show that as income increases, urban households consume more milk and are willing to pay a higher premium for milk safety. Modern food marketing channels play a positive role in stimulating milk consumption and building consumers’ confidence in milk safety. The growth in the elderly population influences milk consumption positively, but their demand for milk safety is negatively affected by higher price. The combined analysis of households’ demand for milk quantity and safety may be useful to the Chinese government in promoting the development of the domestic milk industry and to dairy firms in exploring the milk market in China.

Suggested Citation

  • Cheng, Leilei & Yin, Changbin & Chien, Hsiaoping, 2015. "Demand for milk quantity and safety in urban China: evidence from Beijing and Harbin," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), April.
  • Handle: RePEc:ags:aareaj:280248
    DOI: 10.22004/ag.econ.280248
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    References listed on IDEAS

    as
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    Cited by:

    1. Risti Permani, 2021. "FTA, Exchange rate pass‐through and export price behavior – Lessons from the Australian dairy sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 192-221, January.
    2. Tao, Hongjun & Luckstead, Jeff & Zhao, Liang & Xie, Chaoping, 2016. "Estimating Restrictiveness of SPS Measures for China's Dairy Imports," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(B), pages 1-24, August.
    3. Yuwen, Feng & Hsiaoping, Chien, 2020. "Consumers’ Preferences towards Nutrition-modified Milk in Urban Areas of China with Rating-based Conjoint Analysis," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 22.
    4. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    5. Zhong, Shen & Li, Junwei & Qu, Yi, 2022. "Green total factor productivity of dairy cow in China: Key facts from scale and regional sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    6. Permani, Risti, 2020. "FTA, Exchange rate pass-through and export price behavior – Lessons from the Australian dairy sector," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(01), January.
    7. Bo Chen & Wuyang Hu & Qingjie Zhou, 2020. "Effects of local and national advertising across brands: the case of yogurt in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1260-1281, October.
    8. Shengying Zhai & Qihui Chen & Wenxin Wang, 2019. "What Drives Green Fodder Supply in China?—A Nerlovian Analysis with LASSO Variable Selection," Sustainability, MDPI, vol. 11(23), pages 1-17, November.
    9. Chen, Bo & Hu, Wuyang & Zhou, Qingjie, 2020. "Effects of local and national advertising across brands: the case of yogurt in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(04), January.

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