IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v13y2023i3p544-d1078718.html
   My bibliography  Save this article

Evidence of the Contribution of the Technological Progress on Aquaculture Production for Economic Development in China—Research Based on the Transcendental Logarithmic Production Function Method

Author

Listed:
  • Qijun Jiang

    (School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Mengmeng Wu

    (School of Economics and Management, Shanghai Ocean University, Shanghai 201306, China)

  • Dongyong Zhang

    (College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China)

Abstract

Technology includes hard technology and soft technology. Material technology embodied in production conditions and working conditions such as machinery, equipment and infrastructure is called hard technology, referring to the technology directly used in the development and production of means of production and means of subsistence, such as product design technology, equipment manufacturing technology, etc. Non-material technology, which embodies the experience, skills and management ability of process management, decision support and information technology, is called soft technology. Hard technologies make things easier and faster, while soft technologies promote flexibility and creativity. However, hard technologies take time to produce and have negative environmental impacts, while soft technologies are simple to produce but hard to use. Hence, finding the right balance between hard and soft technology investment is important for the sustainable increase of productivity. In recent years, China has continuously increased its investment in science and technology in aquaculture industry. However, the majority of the investment has gone to hard technology, which has hampered the long-term development of the industry. This paper aims to look at the status quo of the scientific and technological progress of the aquaculture industry in China and explore how the advancement of hard and soft technologies play a role in the economic growth of the aquaculture industry. Transcendental logarithmic production function is employed to calculate the contribution rate of technological progress on China’s aquaculture industry, and the contribution rates of hard technologies and soft technologies are examined separately. The results indicate that, from 2012 to 2020, the contribution rate of overall technical progress on aquaculture in China was 80.159%, of which 71.720% came from the progress of hard technologies, while only 8.439% came from the progress of soft technologies. Based on this conclusion, the paper calls for a balance of hard and soft technologies in the aquaculture industry in China to ensure a healthy and sustainable aquaculture industry. Policy suggestions are also put forward.

Suggested Citation

  • Qijun Jiang & Mengmeng Wu & Dongyong Zhang, 2023. "Evidence of the Contribution of the Technological Progress on Aquaculture Production for Economic Development in China—Research Based on the Transcendental Logarithmic Production Function Method," Agriculture, MDPI, vol. 13(3), pages 1-14, February.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:3:p:544-:d:1078718
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/13/3/544/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/13/3/544/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Subal Kumbhakar & M. Denny & M. Fuss, 2000. "Estimation and decomposition of productivity change when production is not efficient: a paneldata approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 312-320.
    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. Jan Kluge & Sarah Lappöhn & Kerstin Plank, 2023. "Predictors of TFP growth in European countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(1), pages 109-140, February.
    2. Isaac Abekah-Koomson & Pang Wei Loon & Gamini Premaratne & Teo Siew Yean, 2021. "Total Factor Productivity Growth: Evidence from West African Economies," Global Business Review, International Management Institute, vol. 22(6), pages 1405-1420, December.
    3. Oh, Dong-hyun, 2015. "Productivity growth, technical change and economies of scale of Korean fossil-fuel generation companies, 2001–2012: A dual approach," Energy Economics, Elsevier, vol. 49(C), pages 113-121.
    4. Michel Mivumbi & Xiaoling Yuan, 2023. "Sustainable Environmental Economics in Farmers’ Production Factors via Irrigation Resources Utilization Using Technical Efficiency and Allocative Efficiency," Sustainability, MDPI, vol. 15(5), pages 1-12, February.
    5. Fidel Martínez Roget & Xosé A. Rodríguez González, 2006. "Occupancy Level and Productivity in Rural Tourism Establishments: The Case of Galicia, Spain," Tourism Economics, , vol. 12(2), pages 279-289, June.
    6. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CIRED Working Papers halshs-02080285, HAL.
    7. Hailemariam Teklewold, 2021. "How effective is Ethiopia’s agricultural growth program at improving the total factor productivity of smallholder farmers?," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 895-912, August.
    8. Xiaobing Wang & Futoshi Yamauchi & Jikun Huang, 2016. "Rising wages, mechanization, and the substitution between capital and labor: evidence from small scale farm system in China," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 309-317, May.
    9. Sun, Kai & Kumbhakar, Subal C. & Tveterås, Ragnar, 2015. "Productivity and efficiency estimation: A semiparametric stochastic cost frontier approach," European Journal of Operational Research, Elsevier, vol. 245(1), pages 194-202.
    10. Nyirenda, Zephania Bondera, 2015. "Impact Of Small-Scale Irrigation On Poverty In Rural Malawi," Research Theses 276462, Collaborative Masters Program in Agricultural and Applied Economics.
    11. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    12. Junjun Tang & Xing Zhao, 2023. "Does the new digital infrastructure improve total factor productivity?," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 895-916, October.
    13. Lin, Boqiang & Wang, Xiaolei, 2015. "Carbon emissions from energy intensive industry in China: Evidence from the iron & steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 746-754.
    14. Henry, Michael & Kneller, Richard & Milner, Chris, 2009. "Trade, technology transfer and national efficiency in developing countries," European Economic Review, Elsevier, vol. 53(2), pages 237-254, February.
    15. Chen, Shiyi & Jefferson, Gary H. & Zhang, Jun, 2011. "Structural change, productivity growth and industrial transformation in China," China Economic Review, Elsevier, vol. 22(1), pages 133-150, March.
    16. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    17. Feng Ye & Zhongna Yang & Mark Yu & Susan Watson & Ashley Lovell, 2023. "Can Market-Oriented Reform of Agricultural Subsidies Promote the Growth of Agricultural Green Total Factor Productivity? Empirical Evidence from Maize in China," Agriculture, MDPI, vol. 13(2), pages 1-20, January.
    18. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CERDI Working papers halshs-02080285, HAL.
    19. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    20. Pan Rao & Xiaojin Liu & Shubin Zhu & Xiaolan Kang & Xinglei Zhao & Fangting Xie, 2022. "Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China," IJERPH, MDPI, vol. 19(13), pages 1-19, June.

    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:jagris:v:13:y:2023:i:3:p:544-:d:1078718. 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.