IDEAS home Printed from https://ideas.repec.org/p/ags/aaea08/6531.html

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6531/files/469855.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.6531?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Wan, Guanghua & Zhang, Xiaobo, 2006. "Rising inequality in China," Journal of Comparative Economics, Elsevier, vol. 34(4), pages 651-653, December.
    2. 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(01), pages 1-10, July.
    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. Jonathan Gruber & Brigitte C. Madrian, 1994. "Health Insurance and Job Mobility: The Effects of Public Policy on Job-Lock," ILR Review, Cornell University, ILR School, vol. 48(1), pages 86-102, October.
    6. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    7. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    8. 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.
    9. 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.
    10. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    11. 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.
    12. 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.
    13. Baichen Jiang & John Davis, 2007. "Household food demand in rural China," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 373-380.
    14. 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.
    15. 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.
    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.
    17. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kang Ernest Liu & Hung‐Hao Chang & Wen S. Chern, 2011. "Examining changes in fresh fruit and vegetable consumption over time and across regions in urban China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 3(3), pages 276-296, September.
    2. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    3. Dionysia Lambiri & Alessandra Faggian & Neil Wrigley, 2017. "Linked-trip effects of ‘town-centre-first' era foodstore development: An assessment using difference-in-differences," Environment and Planning B, , vol. 44(1), pages 160-179, January.
    4. Olper, Alessandro & Falkowski, Jan & Swinnen, Johan F.M., "undated". "Democracy and Agricultural Protection: Parametric and Semi-parametric Matching Estimates," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49313, Agricultural and Applied Economics Association.
    5. Machado, José A.F. & Santos Silva, J.M.C. & Wei, Kehai, 2016. "Quantiles, corners, and the extensive margin of trade," European Economic Review, Elsevier, vol. 89(C), pages 73-84.
    6. Ichimura, Hidehiko & Todd, Petra E., 2007. "Implementing Nonparametric and Semiparametric Estimators," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 74, Elsevier.
    7. Fu, Liya & Wang, You-Gan, 2012. "Quantile regression for longitudinal data with a working correlation model," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2526-2538.
    8. Hsin-Hong Kang & Shu-Bing Liu, 2014. "Corporate social responsibility and corporate performance: a quantile regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(6), pages 3311-3325, November.
    9. Halkos, George E., 2011. "Nonparametric modelling of biodiversity: Determinants of threatened species," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 618-635, July.
    10. Zhou, De & Yu, Xiaohua & Abler, David & Chen, Danhong, 2020. "Projecting meat and cereals demand for China based on a meta-analysis of income elasticities," China Economic Review, Elsevier, vol. 59(C).
    11. Nicola Orsini & Matteo Bottai, 2011. "Logistic quantile regression in Stata," Stata Journal, StataCorp LLC, vol. 11(3), pages 327-344, September.
    12. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    13. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    14. Yang, Lu & Tian, Shuairu & Yang, Wei & Xu, Mingli & Hamori, Shigeyuki, 2018. "Dependence structures between Chinese stock markets and the international financial market: Evidence from a wavelet-based quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 45(C), pages 116-137.
    15. Kang, Hsin-Hong & Liu, Shu-Bing, 2014. "The impact of the 2008 financial crisis on housing prices in China and Taiwan: A quantile regression analysis," Economic Modelling, Elsevier, vol. 42(C), pages 356-362.
    16. Otsu, Taisuke, 2008. "Conditional empirical likelihood estimation and inference for quantile regression models," Journal of Econometrics, Elsevier, vol. 142(1), pages 508-538, January.
    17. Zaghum Umar & Syed Jawad Hussain Shahzad & Román Ferrer & Francisco Jareño, 2018. "Does Shariah compliance make interest rate sensitivity of Islamic equities lower? An industry level analysis under different market states," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4500-4521, September.
    18. Gustavsen, Geir Waehler & Jolliffe, Dean & Rickertsen, Kyrre, 2008. "Censored Quantile Regression and Purchases of Ice Cream," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6534, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Thomas Q. Pedersen, 2015. "Predictable Return Distributions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 114-132, March.
    20. Halkos, George, 2010. "Modelling biodiversity," MPRA Paper 39075, University Library of Munich, Germany.

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea08:6531. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.