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International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries

Author

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  • Xiangyu Guo

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Canhui Deng

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Dan Wang

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Xu Du

    (School of Economics, Harbin Normal University, Harbin 150025, China)

  • Jiali Li

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Bowen Wan

    (College of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

Abstract

An efficiency-oriented innovation analysis will enhance the understanding of the operational quality related to the transformation process of limited innovation investments for improving innovation outputs. The purpose of this study was to measure the static-dynamic efficiency of agricultural science, technology, and innovation (ASTI) and identify the efficiency determinants across the Group of Twenty (G20) countries. First, the static comprehensive efficiency of ASTI was measured employing the Data Envelopment Analysis (DEA)-BCC model, and some of the binding constraints to higher efficiency were investigated. Then, we applied the DEA-Malmquist index model to calculate the efficiency change of ASTI in certain periods and decomposed the sources of efficiency change. Finally, the G20 countries were classified into four-level clusters based on the rankings of efficiency measurement and capability evaluation of ASTI to locate the type of ASTI level and identify the type change in both the efficiency and capability. The empirical results indicate the following. (1) The efficiency range of the G20 developing countries was relatively larger than the G20 developed countries. The G20 developed countries showed a fluctuating downward trend, while the G20 developing countries showed an upward trend from the perspective of efficient proportion. The R&D expenditure redundancy and the agricultural journal papers deficiency were the main binding constraints to the higher efficiency of ASTI. (2) The total factor productivity change (TFPC) of ASTI showed an alternating trend of “decline–growth–continuous decline–growth recovery”, where the G20 developed countries experienced “growth–decline–growth” and the G20 developing countries underwent a fluctuating upward trend. The TFPC of ASTI in most G20 countries was primarily due to technological change. (3) The G20 developed countries usually had advantages in capacity, while the G20 developing countries performed better in efficiency.

Suggested Citation

  • Xiangyu Guo & Canhui Deng & Dan Wang & Xu Du & Jiali Li & Bowen Wan, 2021. "International Comparison of the Efficiency of Agricultural Science, Technology, and Innovation: A Case Study of G20 Countries," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:5:p:2769-:d:510431
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    Cited by:

    1. Xueling Guan & Lijiang Chen & Qing Xia & Zhaohui Qin, 2022. "Innovation Efficiency of Chinese Pharmaceutical Manufacturing Industry from the Perspective of Innovation Ecosystem," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    2. Sheng Yao & Guosong Wu, 2022. "Research on the Efficiency of Green Agricultural Science and Technology Innovation Resource Allocation Based on a Three-Stage DEA Model—A Case Study of Anhui Province, China," IJERPH, MDPI, vol. 19(20), pages 1-12, October.
    3. Xinyu Lei & Jinna Li & Hao Li & Jvping Yan & Panfeng Li & Yifan Guo & Xinhui Huang & Yuting Zheng & Shaopeng Yang & Yimin Hu & Wangsheng Gao & Yuanquan Chen, 2023. "Regional Assessment at the Province Level of Agricultural Science and Technology Development in China," Agriculture, MDPI, vol. 13(2), pages 1-17, February.
    4. Jinfa Li & Ruijie Qin & Hongbing Jiang, 2022. "Measurement of Innovation Efficiency in China’s Electronics and Communication Equipment Manufacturing Industry-Based on Dynamic Network SBM Model," Sustainability, MDPI, vol. 14(3), pages 1-18, January.
    5. Xinping Li & Qiongxia Qin & Yongliang Yang, 2023. "The Impact of Green Innovation on Carbon Emissions: Evidence from the Construction Sector in China," Energies, MDPI, vol. 16(11), pages 1-23, June.

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    More about this item

    Keywords

    agricultural science; technology and innovation; Innovation efficiency; DEA; G20;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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