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Changes in Fruit and Vegetable Consumption over Time and across Regions in China: A Difference-in-Differences Analysis with Quantile Regression

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  • Liu, Kang Ernest
  • Chang, Hung-Hao
  • Chern, Wen S.

Abstract

Recently, there has been considerable interest in estimating food demand structure in China due to its huge market for food products. Previous literature has focused on the primary food products such as grains and meats, but studies on fruits and vegetables are limited. To fulfill this gap, this paper investigates the changes of fruit and vegetable consumption in Chinese urban households between 1993 and 2001. In this study, we use the difference-in-differences method with quantile regression to demonstrate how these changes of fruit and vegetable consumption over time may differ across regions. Additionally, how these changes may differ over the entire distribution. Using household survey data from 1993 and 2001 of three selected provinces, our results show that fruit consumption of Chinese urban households increased from 1993 to 2001 for households in the central and southern parts of China. Additionally, the magnitudes of the increasing trends differ across the entire distribution. In contrast, significant decreases of vegetable consumption are found, and results are robust across regions. However, the disparities of vegetable consumption across regions are not significant.

Suggested Citation

  • Liu, Kang Ernest & Chang, Hung-Hao & Chern, Wen S., 2008. "Changes in Fruit and Vegetable Consumption over Time and across Regions in China: A Difference-in-Differences Analysis with Quantile Regression," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6531, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea08:6531
    DOI: 10.22004/ag.econ.6531
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    References listed on IDEAS

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    1. Han, Tong & Wahl, Thomas I., 1998. "China'S Rural Household Demand For Fruit And Vegetables," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(1), pages 1-10, July.
    2. Wan, Guanghua & Zhang, Xiaobo, 2006. "Rising inequality in China," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 651-653, December.
    3. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-16, December.
    4. Jonathan Gruber & Brigitte C. Madrian, 1993. "Limited Insurance Portability and Job Mobility: The Effects of Public Policy on Job-Lock," NBER Working Papers 4479, National Bureau of Economic Research, Inc.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Fang, Cheng & Beghin, John C., 2002. "Urban Demand for Edible Oils and Fats in China: Evidence from Household Survey Data," Journal of Comparative Economics, Elsevier, vol. 30(4), pages 732-753, December.
    7. Fan, Shenggen & Cramer, Gail & Wailes, Eric, 1994. "Food demand in rural China: evidence from rural household survey," Agricultural Economics, Blackwell, vol. 11(1), pages 61-69, September.
    8. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2004. "Evaluating the Employment Impact of a Mandatory Job Search Program," Journal of the European Economic Association, MIT Press, vol. 2(4), pages 569-606, June.
    9. Min, Insik & Fang, Cheng & Li, Qi, 2004. "Investigation of patterns in food-away-from-home expenditure for China," China Economic Review, Elsevier, vol. 15(4), pages 457-476.
    10. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    11. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    12. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    13. Brian W. Gould & Hector J. Villarreal, 2006. "An assessment of the current structure of food demand in urban China," Agricultural Economics, International Association of Agricultural Economists, vol. 34(1), pages 1-16, January.
    14. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    15. Baichen Jiang & John Davis, 2007. "Household food demand in rural China," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 373-380.
    16. Richard Blundell & Monica Costa Dias & Costas Meghir & John Van Reenen, 2001. "Evaluating the employment impact of a mandatory job search assistance program," IFS Working Papers W01/20, Institute for Fiscal Studies.
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    Keywords

    Food Consumption/Nutrition/Food Safety;

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