IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2018i1p51-d192403.html
   My bibliography  Save this article

Study on Factors Affecting the Agricultural Mechanization Level in China Based on Structural Equation Modeling

Author

Listed:
  • Wei Li

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Xipan Wei

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Ruixiang Zhu

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

  • Kangquan Guo

    (College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China)

Abstract

The subsidy policy for the purchase of agricultural machinery and China’s Agricultural Mechanization Promotion Law have been implemented since 1998 and 2004, respectively. The goal of the policy and the law is to improve the agricultural mechanization level (AML) in China. Policymakers expect that the AML could be increased by improving the agricultural equipment level (AEL). The AML in China is affected by many factors. However, only a few studies have investigated the effects of the AEL on the AML. To fill this gap, we built an integrative conceptual framework and estimated a corresponding structural equation model (SEM) using the relevant data collected from 30 provinces (cities and districts) in mainland China. The relevant data cover the years from 2001 to 2014. There are six factors in our framework, including AEL, level of economic development, land resource endowment, benefit factors, policy and environmental factors, and demographic factors. The results showed that the AEL had the greatest impact on the AML. The level of economic development, the demographic factors, and the benefit factors not only directly affected China’s AML but also indirectly affected the AML through the AEL. Meanwhile, land resource endowment and policy and environmental factors had only an indirect effect on the AEL. This report can be used to inform the government that the improvement of the AEL is one of the important ways to achieve the comprehensive mechanization of China’s agriculture, that the agricultural machinery purchase subsidies must still be enhanced and that the enforcement of China’s Agricultural Mechanization Promotion Law must still be strengthened.

Suggested Citation

  • Wei Li & Xipan Wei & Ruixiang Zhu & Kangquan Guo, 2018. "Study on Factors Affecting the Agricultural Mechanization Level in China Based on Structural Equation Modeling," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:11:y:2018:i:1:p:51-:d:192403
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/1/51/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/1/51/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qiao, Fangbin, 2017. "Increasing wage, mechanization, and agriculture production in China," China Economic Review, Elsevier, vol. 46(C), pages 249-260.
    2. Jin Yang & Zuhui Huang & Xiaobo Zhang & Thomas Reardon, 2013. "The Rapid Rise of Cross-Regional Agricultural Mechanization Services in China," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1245-1251.
    3. Zhang, Xiaobo & Yang, Jin & Reardon, Thomas, 2020. "Mechanization outsourcing clusters and division of labor in Chinese agriculture," IFPRI book chapters, in: An evolving paradigm of agricultural mechanization development: How much can Africa learn from Asia?, chapter 2, pages 71-96, International Food Policy Research Institute (IFPRI).
    4. Wang, Xiaobing & Yamauchi, Futoshi & Otsuka, Keijiro & Huang, Jikun, 2016. "Wage Growth, Landholding, and Mechanization in Chinese Agriculture," World Development, Elsevier, vol. 86(C), pages 30-45.
    5. Yamauchi, Futoshi, 2016. "Rising real wages, mechanization and growing advantage of large farms: Evidence from Indonesia," Food Policy, Elsevier, vol. 58(C), pages 62-69.
    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. Xiuhao Quan & Reiner Doluschitz, 2021. "Factors Influencing the Adoption of Agricultural Machinery by Chinese Maize Farmers," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
    2. Xi Yu & Xiyang Yin & Yuying Liu & Dongmei Li, 2021. "Do Agricultural Machinery Services Facilitate Land Transfer? Evidence from Rice Farmers in Sichuan Province, China," Land, MDPI, vol. 10(5), pages 1-14, April.
    3. Huaquan Zhang & Zhenyao Yang & Yidan Wang & Martinson Ankrah Twumasi & Abbas Ali Chandio, 2023. "Impact of Agricultural Mechanization Level on Farmers’ Health Status in Western China: Analysis Based on CHARLS Data," IJERPH, MDPI, vol. 20(5), pages 1-20, March.

    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. Qian, Long & Lu, Hua & Gao, Qiang & Lu, Hualiang, 2022. "Household-owned farm machinery vs. outsourced machinery services: The impact of agricultural mechanization on the land leasing behavior of relatively large-scale farmers in China," Land Use Policy, Elsevier, vol. 115(C).
    2. Xi Yu & Xiyang Yin & Yuying Liu & Dongmei Li, 2021. "Do Agricultural Machinery Services Facilitate Land Transfer? Evidence from Rice Farmers in Sichuan Province, China," Land, MDPI, vol. 10(5), pages 1-14, April.
    3. Yu Xu & Liangjie Xin & Xiubin Li & Minghong Tan & Yahui Wang, 2019. "Exploring a Moderate Operation Scale in China’s Grain Production: A Perspective on the Costs of Machinery Services," Sustainability, MDPI, vol. 11(8), pages 1-17, April.
    4. Siyu Yang & Wei Li, 2022. "The Impact of Socialized Agricultural Machinery Services on Land Productivity: Evidence from China," Agriculture, MDPI, vol. 12(12), pages 1-18, December.
    5. Wangda Liao & Fusheng Zeng & Meseret Chanieabate, 2022. "Mechanization of Small-Scale Agriculture in China: Lessons for Enhancing Smallholder Access to Agricultural Machinery," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
    6. Yuan Hu & Ziyang Zhou & Li Zhou & Caiming Liu, 2024. "Self-Owned or Outsourced? The Impact of Farm Machinery Adoption Decisions on Chinese Farm Households’ Operating Income," Agriculture, MDPI, vol. 14(11), pages 1-26, October.
    7. Liu, Yan & Heerink, Nico & Li, Fan & Shi, Xiaoping, 2022. "Do agricultural machinery services promote village farmland rental markets? Theory and evidence from a case study in the North China plain," Land Use Policy, Elsevier, vol. 122(C).
    8. Belton, Ben & Win, Myat Thida & Zhang, Xiaobo & Filipski, Mateusz, 2021. "The rapid rise of agricultural mechanization in Myanmar," Food Policy, Elsevier, vol. 101(C).
    9. Aryal, Jeetendra Prakash & Rahut, Dil Bahadur & Thapa, Ganesh & Simtowe, Franklin, 2021. "Mechanisation of small-scale farms in South Asia: Empirical evidence derived from farm households survey," Technology in Society, Elsevier, vol. 65(C).
    10. Ping Xue & Xinru Han & Yongchun Wang & Xiudong Wang, 2022. "Can Agricultural Machinery Harvesting Services Reduce Cropland Abandonment? Evidence from Rural China," Agriculture, MDPI, vol. 12(7), pages 1-15, June.
    11. Idelphonse O. Saliou & Afio Zannou & Augustin K. N. Aoudji & Albert N. Honlonkou, 2020. "Drivers of Mechanization in Cotton Production in Benin, West Africa," Agriculture, MDPI, vol. 10(11), pages 1-13, November.
    12. Xiaoshi Zhou & Wanglin Ma & Gucheng Li, 2018. "Draft Animals, Farm Machines and Sustainable Agricultural Production: Insight from China," Sustainability, MDPI, vol. 10(9), pages 1-16, August.
    13. Chen, Minjie & Heerink, Nico & Zhu, Xueqin & Feng, Shuyi, 2022. "Do small and equally distributed farm sizes imply large resource misallocation? Evidence from wheat-maize double-cropping in the North China Plain," Food Policy, Elsevier, vol. 112(C).
    14. Zakia Batool & Qurat ul Ain & Abdul Rehman, 2024. "Exploring the effects of farm mechanization, financial development, and renewable energy on China’s food production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18883-18902, July.
    15. Zhoufu Yan & Shurui Zhang & Fangwei Wu & Binlei Gong, 2023. "Increasing Wages, Factor Substitution, and Cropping Pattern Changes in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 190-214, September.
    16. Paudel, Gokul P. & KC, Dilli Bahadur & Rahut, Dil Bahadur & Justice, Scott E. & McDonald, Andrew J., 2019. "Scale-appropriate mechanization impacts on productivity among smallholders: Evidence from rice systems in the mid-hills of Nepal," Land Use Policy, Elsevier, vol. 85(C), pages 104-113.
    17. Liu, Yanyan & Barrett, Christopher B. & Pham, Trinh & Violette, William, 2020. "The intertemporal evolution of agriculture and labor over a rapid structural transformation: Lessons from Vietnam," Food Policy, Elsevier, vol. 94(C).
    18. Zou, Baoling & Chen, Yudan & Mishra, Ashok K. & Hirsch, Stefan, 2024. "Agricultural mechanization and the performance of the local Chinese economy," Food Policy, Elsevier, vol. 125(C).
    19. Wang, Xiaobing & Yamauchi, Futoshi & Huang, Jikun & Rozelle, Scott, 2020. "What constrains mechanization in Chinese agriculture? Role of farm size and fragmentation," China Economic Review, Elsevier, vol. 62(C).
    20. Liu, Yan & Chen, Minjie & Yu, Jianyu & Wang, Xiaobing, 2024. "Being a happy farmer: Technology adoption and subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 221(C), pages 385-405.

    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:jsusta:v:11:y:2018:i:1:p:51-:d:192403. 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.