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An Empirical Study on the Relationship between Agricultural Science and Technology Input and Agricultural Economic Growth Based on E-Commerce Model

Author

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  • Tianqi Wang

    (School of Economics and Management, Ningxia University, Yinchuan 750021, Ningxia, China)

  • Lijun Huang

    (School of Economics and Management, Ningxia University, Yinchuan 750021, Ningxia, China)

Abstract

At present, e-commerce mode has been gradually applied to agricultural science and technology production, which has played an important role in agricultural economic growth and production efficiency. At the same time, the fundamental way out for sustainable and stable development of agriculture is science and technology. Generally speaking, part of the growth of the agricultural economy comes from agricultural production factors. The increase in input is partly due to the improvement of productivity of agricultural elements. Therefore, based on the background of the e-commerce environment, this paper chooses the entropy method to study the relationship between agricultural science and technology input and agricultural economic growth. Compared with the exponential method and the Bolat method, the entropy method can scientifically determine the specific weight of the indicators based on the variation of each quantitative index, so as to improve the accuracy and objectivity of the quantitative index analysis and avoid the adverse effects of human factors. The entropy method is used to evaluate and analyze the development level of agricultural e-commerce, which improves the accuracy and reliability of the evaluation results. Based on this, this paper makes an empirical study on the relationship between agricultural science and technology input and agricultural economic growth by using the method of entropy under the mode of e-commerce, constructs the index system of agricultural productivity, evaluates the situation of agricultural science and technology input and agricultural economic growth, and studies the relationship between them by using the method of regression analysis. Research shows that the application of agricultural science and technology investment and e-commerce mode can promote agricultural economic growth.

Suggested Citation

  • Tianqi Wang & Lijun Huang, 2018. "An Empirical Study on the Relationship between Agricultural Science and Technology Input and Agricultural Economic Growth Based on E-Commerce Model," Sustainability, MDPI, vol. 10(12), pages 1-12, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4465-:d:186090
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    References listed on IDEAS

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    1. Alisa Ableeva & Guzel Salimova & Rasul Gusmanov & Tatyana Lubova & Oleg Efimov & Almira Farrahetdinova, 2019. "The Role of Agriculture in the Formation of Macroeconomic Indicators of National Economy," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 15(4), pages 183-193.
    2. Ying Cao & Zhixiong Fan & Weiqiang Chen & Zhijian Cao & Anyin Jiang, 2024. "Climate Change, Biased Technological Advances and Agricultural TFP: Empirical Evidence from China," Agriculture, MDPI, vol. 14(8), pages 1-19, July.
    3. Shouhong Xie & Jizhou Zhang & Xiaojing Li & Zhe Chen & Xiaoning Zhang & Xianli Xia, 2023. "Impact of Farmer Participation in Production Chain Outsourcing Services on Agricultural Output Level and Output Risk: Evidence from the Guanzhong Plain, China," Agriculture, MDPI, vol. 13(12), pages 1-18, December.
    4. Zhiheng Chen & Wen Shu & Hongpeng Guo & Chulin Pan, 2021. "The Spatial Characteristics of Sustainable Development for Agricultural Products E-Commerce at County-Level: Based on the Empirical Analysis of China," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
    5. 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.

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