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Agricultural Science and Technology Input-output Imbalance Constrains Development Problems and Results Transformation Countermeasures
Research Article | Published: 24 May 2025
IECE Transactions on Social Statistics and Computing Volume 2, Issue 2, 2025: 55-64
Volume 2, Issue 2, IECE Transactions on Social Statistics and Computing
Volume 2, Issue 2, 2025
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Jebbouri Abdelhamid
Jebbouri Abdelhamid
Hohhot University of Economics and Finance, China
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IECE Transactions on Social Statistics and Computing, Volume 2, Issue 2, 2025: 55-64

Free to Read | Research Article | 24 May 2025
Agricultural Science and Technology Input-output Imbalance Constrains Development Problems and Results Transformation Countermeasures
by
Runqi Chen Runqi Chen 1
Xinyong Lu Xinyong Lu 1 *
1 College of Economy and Trade, Zhongkai University of Agriculture and Engineering, Guangzhou 510550, China
* Corresponding Author: Xinyong Lu, [email protected]
DOI: 10.62762/TSSC.2025.252426
Received: 18 April 2025, Accepted: 27 April 2025, Published: 24 May 2025  
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Abstract
This article focuses on the problem of imbalanced input-output in agricultural science and technology and analyzes its current situation, covering input, output, and imbalance manifestations. Elaborate on the constraining effects of this imbalance on rural economic development in three aspects: agricultural production, farmers' income, and rural social stability; Exploring the causes from multiple dimensions of input, output, and other factors. And targeted measures such as optimizing investment mechanisms, enhancing conversion capabilities, and reducing risks are proposed, aiming to provide reference for improving the input-output situation of agricultural science and technology and promoting rural economic development.
Keywords
agricultural technology
input output imbalance
rural economic development
transformation of scientific and technological achievements
Data Availability Statement
Data will be made available on request.
Funding
This work was supported by the Zhong Kai College of Agricultural Engineering Graduate Student Science and Technology Innovation Fund under Grant KJCX2024031 and General Program of the National Social Science Foundation under Grant 21BSH104. The funding institutions had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Conflicts of Interest
The authors declare no conflicts of interest.
Ethical Approval and Consent to Participate
Not applicable.
References
  1. Bowen, R., & Morris, W. (2019). The digital divide: Implications for agribusiness and entrepreneurship. Lessons from Wales. Journal of Rural Studies, 72, 75–84.
    [CrossRef]   [Google Scholar]
  2. Bruckner, M., Wood, R., Moran, D., Kuschnig, N., Wieland, H., Maus, V., & Börner, J. (2019). FABIO—The construction of the food and agriculture biomass input-output model. Environmental Science & Technology, 53(19), 11302–11312.
    [CrossRef]   [Google Scholar]
  3. Chen, Z., Zheng, R., Li, P., & Huang, S. (2018). Evaluation and analysis of agricultural science and technology innovation efficiency in Henan Province. J. Henan Agric. Univ, 52, 468-469.
    [Google Scholar]
  4. Chi, M. (2016). Empirical analysis of the correlation between science and technology input and output of provincial agricultural research institutions. In The 16th Fujian Association for Science and Technology Annual Conference Agricultural Branch (pp. 6). Fujian Association for Science and Technology.
    [Google Scholar]
  5. del Pozo, A., Engler, A., & Meza, F. (2021). Agricultural sciences in Chile: Institutions, human resources, investment and scientific productivity. Chilean Journal of Agricultural Research, 81(4), 664–673.
    [CrossRef]   [Google Scholar]
  6. Du, J. (2013). Analysis of input-output of agricultural science and technology innovation in China based on DEA model. Technological Progress and Countermeasures, 30(8), 4.
    [Google Scholar]
  7. Duarte, R., Pinilla, V., & Serrano, A. (2018). Income, economic structure and trade: Impacts on recent water use trends in the European Union. Sustainability, 10(1), 205.
    [CrossRef]   [Google Scholar]
  8. He, W. (2007). Comprehensive evaluation of input-output benefits of agricultural science and technology parks based on DEA method. Statistics and Decision-Making, (24), 3.
    [Google Scholar]
  9. Kuang, Z., Zhang, J., & Stop, L. (2012). Analysis of input-output of agricultural science and technology innovation in China. China Science and Technology Forum, (7), 5.
    [Google Scholar]
  10. Liu, D., Zhu, X., & Wang, Y. (2021). China’s agricultural green total factor productivity based on carbon emission: An analysis of evolution trend and influencing factors. Journal of Cleaner Production, 278, 123692.
    [CrossRef]   [Google Scholar]
  11. Liu, F., Wang, C., Luo, M., Zhou, S., & Liu, C. (2022). An investigation of the coupling coordination of a regional agricultural economics-ecology-society composite based on a data-driven approach. Ecological Indicators, 143.
    [CrossRef]   [Google Scholar]
  12. Kumar, P., Singh, N. P., & Mathur, V. C. (2006). Sustainable agriculture and rural livelihoods: A synthesis. Agricultural Economics Research Review, 19, 1-22.
    [Google Scholar]
  13. Mogues, T., Fan, S., & Benin, S. (2015). Public investments in and for agriculture. The European Journal of Development Research, 27(3), 337-352.
    [CrossRef]   [Google Scholar]
  14. Mellor, J. (2014). High rural population density Africa—What are the growth requirements and who participates? Food Policy, 48, 66–75.
    [CrossRef]   [Google Scholar]
  15. Qi, Z., & You, Y. (2024). The impact of the rural digital economy on agricultural green development and its mechanism: Empirical evidence from China. Sustainability, 16(9), 3594.
    [CrossRef]   [Google Scholar]
  16. Radwan, A., Hongyun, H., Achraf, A., & Mustafa, A. (2022). Energy use and energy-related carbon dioxide emissions drivers in Egypt’s economy: Focus on the agricultural sector with a structural decomposition analysis. Energy, 258, 124821.
    [CrossRef]   [Google Scholar]
  17. Rotz, S., Duncan, E., Small, M., Botschner, J., Dara, R., Mosby, I., Reed, M., & Fraser, E. (2019). The politics of digital agricultural technologies: A preliminary review. Sociologia Ruralis, 59(2), 203–229.
    [CrossRef]   [Google Scholar]
  18. Varzaru, A. (2025). Digital revolution in agriculture: Using predictive models to enhance agricultural performance through digital technology. Agriculture-Basel, 15(3).
    [CrossRef]   [Google Scholar]
  19. Wang, W., & Mei, T. (2024). Research on the effect of digital economy development on the carbon emission intensity of agriculture. Sustainability, 16(4), 1457.
    [CrossRef]   [Google Scholar]
Cite This Article
APA Style
Chen, R., & Lu, X. (2025). Agricultural Science and Technology Input-output Imbalance Constrains Development Problems and Results Transformation Countermeasures. IECE Transactions on Social Statistics and Computing, 2(2), 55–64. https://doi.org/10.62762/TSSC.2025.252426
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