IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i5p2911-d762465.html
   My bibliography  Save this article

Impact of Dairy Imports on Raw Milk Production Technology Progress in China

Author

Listed:
  • Yuhang Bai

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Li Li

    (College of Economics and Management, Zhejiang Agriculture & Forestry University, Hangzhou 311300, China)

  • Fengting Wang

    (College of Economics and Management, Zhejiang Agriculture & Forestry University, Hangzhou 311300, China
    Zhejiang Province Key Cultivating Think Tank Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

  • Lizhong Zhang

    (School of Economics and Management, Beijing Forestry University, Beijing 100083, China)

  • Lichun Xiong

    (College of Economics and Management, Zhejiang Agriculture & Forestry University, Hangzhou 311300, China
    Zhejiang Province Key Cultivating Think Tank Research Academy for Rural Revitalization of Zhejiang Province, Zhejiang A&F University, Hangzhou 311300, China
    Institute of Ecological Civilization, Zhejiang A&F University, Hangzhou 311300, China)

Abstract

China’s dairy product import volume and output continue to grow rapidly, and to a certain extent, it will form a substitute for the Chinese dairy market. Therefore, it is necessary to study the impact of the import of dairy products on the technological progress of raw milk production in China. Using the data from 2005 to 2017, this paper uses the DEA model and the input-output model to analyze the impact of China’s dairy product imports on the technological progress of raw milk production. The model results show that: (1) there are differences in the technological content of dairy products from different importing countries; (2) The total technological content of imported dairy products hinders the improvement of the technological progress index of small, medium and large-scale production of raw milk in China, and has the most prominent negative impact on the technological progress of large-scale raw milk production in China; (3) The technological content of dairy products imports from New Zealand, Australia, Germany, the Netherlands and other countries can help improve the technological progress index of China’s moderate-scale production of raw milk, while importing countries from the United States, Canada and other countries hinder it.

Suggested Citation

  • Yuhang Bai & Li Li & Fengting Wang & Lizhong Zhang & Lichun Xiong, 2022. "Impact of Dairy Imports on Raw Milk Production Technology Progress in China," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2911-:d:762465
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/5/2911/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/5/2911/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaolan Fu, 2005. "Exports, technical progress and productivity growth in a transition economy: a non-parametric approach for China," Applied Economics, Taylor & Francis Journals, vol. 37(7), pages 725-739.
    2. Coe, David T. & Helpman, Elhanan & Hoffmaister, Alexander W., 2009. "International R&D spillovers and institutions," European Economic Review, Elsevier, vol. 53(7), pages 723-741, October.
    3. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    4. Do, Quy-Toan & Levchenko, Andrei A., 2007. "Comparative advantage, demand for external finance, and financial development," Journal of Financial Economics, Elsevier, vol. 86(3), pages 796-834, December.
    5. Ricardo Hausmann & Jason Hwang & Dani Rodrik, 2007. "What you export matters," Journal of Economic Growth, Springer, vol. 12(1), pages 1-25, March.
    6. Escribano, M. & Elghannam, A. & Mesias, F.J., 2020. "Dairy sheep farms in semi-arid rangelands: A carbon footprint dilemma between intensification and land-based grazing," Land Use Policy, Elsevier, vol. 95(C).
    7. Lall, Sanjaya & Weiss, John & Zhang, Jinkang, 2006. "The "sophistication" of exports: A new trade measure," World Development, Elsevier, vol. 34(2), pages 222-237, February.
    8. Junqian Xu & Yuanyuan Wu, 2018. "A Comparative Study of the Role of Australia and New Zealand in Sustainable Dairy Competition in the Chinese Market after the Dairy Safety Scandals," IJERPH, MDPI, vol. 15(12), pages 1-24, December.
    9. Kim, Dong-Hyeon & Lin, Shu-Chin & Suen, Yu-Bo, 2016. "Trade, growth and growth volatility: New panel evidence," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 384-399.
    10. Reinhard Schumacher, 2013. "Deconstructing the Theory of Comparative Advantage," World Economic Review, World Economics Association, vol. 2013(2), pages 1-83, February.
    11. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    12. Yan Chen & Hua Ji & Li-Jun Chen & Rong Jiang & Yong-Ning Wu, 2018. "Food Safety Knowledge, Attitudes and Behavior among Dairy Plant Workers in Beijing, Northern China," IJERPH, MDPI, vol. 15(1), pages 1-9, January.
    13. Jaforullah, Mohammad & Whiteman, John, 1999. "Scale efficiency in the New Zealand dairy industry: a non-parametric approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(4), pages 1-19, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuhang Bai & Kuixing Han & Lichun Xiong & Yifei Li & Rundong Liao & Fengting Wang, 2022. "Differences and Factors of Raw Milk Productivity between China and the United States," Agriculture, MDPI, vol. 12(11), pages 1-13, November.

    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. Costantini, Valeria & Liberati, Paolo, 2014. "Technology transfer, institutions and development," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 26-48.
    2. Glawe, Linda & Wagner, Helmut, 2020. "China in the middle-income trap?," China Economic Review, Elsevier, vol. 60(C).
    3. Krammer, Sorin M.S., 2014. "Assessing the relative importance of multiple channels for embodied and disembodied technological spillovers," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 272-286.
    4. N. R. Ramírez-Rondán & Marco E. Terrones & Andrea Vilchez, 2020. "Does financial sector development affect the growth gains from trade openness?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 475-515, August.
    5. Nicola Cortinovis & Frank van Oort, 2017. "Between spilling over and boiling down: network-mediated spillovers, absorptive capacity and productivity in European regions," Tinbergen Institute Discussion Papers 17-118/VI, Tinbergen Institute.
    6. Nishioka, Shuichiro & Ripoll, Marla, 2012. "Productivity, trade and the R&D content of intermediate inputs," European Economic Review, Elsevier, vol. 56(8), pages 1573-1592.
    7. Fan, Zhaobin & Anwar, Sajid & Huang, Shujuan, 2018. "Cultural diversity and export sophistication," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 508-522.
    8. Franz Haider & Robert Kunst & Franz Wirl, 2021. "Total factor productivity, its components and drivers," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 283-327, May.
    9. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    10. Matthias Firgo & Fabian Gabelberger & Andreas Reinstaller & Yvonne Wolfmayr, 2024. "Assessing Regional Production Potential to Strengthen the Security of Supply in Strategic Products," WIFO Working Papers 670, WIFO.
    11. Jarreau, Joachim & Poncet, Sandra, 2012. "Export sophistication and economic growth: Evidence from China," Journal of Development Economics, Elsevier, vol. 97(2), pages 281-292.
    12. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    13. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2020. "Model uncertainty, nonlinearities and out-of-sample comparison: evidence from international technology diffusion," Working Papers hal-02790523, HAL.
    14. Chen, Shiu-Sheng, 2017. "Exchange rate undervaluation and R&D activity," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 148-160.
    15. Florent Silve & Alexander Plekhanov, 2018. "Institutions, innovation and growth : Evidence from industry data," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 26(3), pages 335-362, July.
    16. Maria Cipollina & Giorgia Giovannetti & Filomena Pietrovito & Alberto F. Pozzolo, 2012. "FDI and Growth: What Cross-country Industry Data Say," The World Economy, Wiley Blackwell, vol. 35(11), pages 1599-1629, November.
    17. Luintel, Kul B. & Khan, Mosahid, 2017. "Ideas production and international knowledge spillovers: Digging deeper into emerging countries," Research Policy, Elsevier, vol. 46(10), pages 1738-1754.
    18. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    19. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    20. Alje van Dam & Koen Frenken, 2019. "Variety, Complexity and Economic Development," Papers 1903.07997, arXiv.org.

    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:gam:jijerp:v:19:y:2022:i:5:p:2911-:d:762465. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.