IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v11y2024i17p75.html
   My bibliography  Save this article

Technology Implication of Agricultural Sectors in China: A CGE Analysis Based on CHINAGEM Model

Author

Listed:
  • Syed Shoyeb Hossain
  • Huang Delin

Abstract

The primary goal of Chinese agricultural development is to guarantee national food security and the supply of major agricultural products. Hence, the improvement of agricultural technology plays a vital role in China for economic development. Technological change in agricultural sector results in higher future economic growth as well as food security, both in food consumption and availability. By constructing China’s agriculture general equilibrium model (CGE), this paper explains the impact of agricultural technology change. This paper constructs a dynamic CGE model based on CHINAGEM model for analyzing the technology increase in China Agricultural sector and then describes the construction of database and policy scenario. Model such as Computable General Equilibrium (CGE) model is used to conduct analysis of the economy-wide impacts of new agricultural technologies in China. In the general equilibrium model, some external variables are established; any part of structural changes caused by its exogenous variables can affect the entire system, resulting in general changes of goods, prices and quantity of factor. Simulation result of this paper indicates the agriculture sector output increases respectively; employment decreases; production cost decreases; and investment increases. Finally this paper describes the effects of the policy of technology changes by comparing policy scenario to baseline scenario and explains the impact of technology changes in China economy using CHINAGEM model.

Suggested Citation

  • Syed Shoyeb Hossain & Huang Delin, 2024. "Technology Implication of Agricultural Sectors in China: A CGE Analysis Based on CHINAGEM Model," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 11(17), pages 1-75, April.
  • Handle: RePEc:ibn:jasjnl:v:11:y:2024:i:17:p:75
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/0/0/40801/42110
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/0/40801
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jintao Zhan & Xu Tian & Yanyuan Zhang & Xinglong Yang & Zhongqiong Qu & Tao Tan, 2017. "The Effects of Agricultural R&D on Chinese Agricultural Productivity Growth: New Evidence of Convergence and Implications for Agricultural R&D Policy," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 65(3), pages 453-475, September.
    2. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Hsu, Shih-Hsun, 2008. "Total factor productivity growth in China's agricultural sector," China Economic Review, Elsevier, vol. 19(4), pages 580-593, December.
    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. Deng, Haiyan & Jin, Yanhong & Pray, Carl & Hu, Ruifa & Xia, Enjun & Meng, Hong, 2021. "Impact of public research and development and extension on agricultural productivity in China from 1990 to 2013," China Economic Review, Elsevier, vol. 70(C).
    2. Yakun Wang & Jingli Jiang & Dongqing Wang & Xinshang You, 2022. "Can Mechanization Promote Green Agricultural Production? An Empirical Analysis of Maize Production in China," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    3. Majiwa, Eucabeth Bosibori Opande & Lee, Boon & Wilson, Clevo, 2015. "Multi-lateral multi-output measurement of productivity: the case of African agriculture," 2015 Conference, August 9-14, 2015, Milan, Italy 212769, International Association of Agricultural Economists.
    4. Viet Ha Trinh Thi & Wenqi Zhou, 2024. "A Systematic Analysis of the Development of Agricultural Modernization and Its Effect on Crop Production in Northeastern China," Sustainability, MDPI, vol. 16(12), pages 1-12, June.
    5. Yuanying Chi & Wenbing Zhou & Zhenyu Wang & Yu Hu & Xiao Han, 2021. "The Influence Paths of Agricultural Mechanization on Green Agricultural Development," Sustainability, MDPI, vol. 13(23), pages 1-16, November.
    6. Song, Chunxiao & Liu, Ruifeng & Oxley, Oxley & Ma, Hengyun, 2018. "The adoption and impact of engineering-type measures to address climate change: evidence from the major grain-producing areas in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(4), October.
    7. Jianping Zha & Zhiyong Li, 2017. "Drivers of tourism growth," Tourism Economics, , vol. 23(5), pages 941-962, August.
    8. Fadavi, Raheleh & Keyhani, Alireza & Saied Mohtasebi, Seyyed, 2012. "Estimation of a Mechanization Index and Its Impact on Energy and Economic Factors in Apple Orchard in Iran," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 2(02), pages 1-13, June.
    9. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    10. Wang, Sun Ling & Huang, Jikun & Wang, Xiaobing & Tuan, Francis, 2019. "Are China’s regional agricultural productivities converging: How and why?," Food Policy, Elsevier, vol. 86(C), pages 1-1.
    11. Wang, Teng & Yi, Fujin & Liu, Huilin & Wu, Ximing & Zhong, Funing, 2021. "Can Agricultural Mechanization Have a Mitigation Effect on China's Yield Variability?," 2021 Conference, August 17-31, 2021, Virtual 315098, International Association of Agricultural Economists.
    12. Jenni Pääkkönen, 2012. "Are there industrial and agricultural convergence clubs in China?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 10(1), pages 1-13, June.
    13. Vu, Khuong & Hartley, Kris, 2022. "Sources of transport sector labor productivity performance in industrialized countries: Insights from a decomposition analysis," Transport Policy, Elsevier, vol. 129(C), pages 204-218.
    14. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    15. Yi-Xuan Lu & Si-Ting Wang & Guan-Xin Yao & Jing Xu, 2023. "Green Total Factor Efficiency in Vegetable Production: A Comprehensive Ecological Analysis of China’s Practices," Agriculture, MDPI, vol. 13(10), pages 1-25, October.
    16. Shen, Zhiyang & Wang, Songkai & Boussemart, Jean-Philippe & Hao, Yu, 2022. "Digital transition and green growth in Chinese agriculture," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    17. 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.
    18. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    19. He, Chaofei & Ho, Chun-Yu & Yu, Leng & Zhu, Xi, 2019. "Public investment and food security: Evidence from the Hundred Billion Plan in China," China Economic Review, Elsevier, vol. 54(C), pages 176-190.
    20. repec:zbw:bofitp:2009_015 is not listed on IDEAS
    21. Ito, Junichi, 2010. "Inter-regional difference of agricultural productivity in China: Distinction between biochemical and machinery technology," China Economic Review, Elsevier, vol. 21(3), pages 394-410, September.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:jasjnl:v:11:y:2024:i:17:p:75. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.