The e-commerce of agricultural machinery components can help the rapid development of the agricultural machinery industry and accelerate the implementation of rural revitalization strategies. The study selected the small and micro enterprises in Pangkou Auto Agricultural Machinery Parts City, Gaotang County, as the research subjects, and conducted an empirical analysis on the adoption willingness of e-commerce operators of agricultural machinery parts in Pangkou Auto Agricultural Machinery Parts City by building an economic model. The results showed that the accuracy of the economic model's prediction reached 76%, and the value of Nagelerke R2 reached 0.580, indicating that the model has a good fitting effect as a whole, it has a good explanatory effect and statistical significance for the dependent variable. The results show that age has become a protective factor for the e-commerce willingness of agricultural machinery component operators, while other factors have a relatively weak effect on the e-commerce operation of hospitals. The research provided a specific explanation of the results and summarized the construction of a complete network system to improve the level of after-sales service; strengthen digital empowering retail and implement an e-commerce+live streaming marketing model; improve e-commerce capabilities and break down barriers to information exchange; strengthen financial policy support and a series of countermeasures to expand the e-commerce operation of agricultural machinery parts.
Published in | International Journal of Agricultural Economics (Volume 8, Issue 2) |
DOI | 10.11648/j.ijae.20230802.12 |
Page(s) | 68-76 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Internet+, Business Entities of Agricultural Machinery Parts, E-commerce Model, Willingness to Adopt, Empirical Model
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APA Style
Du Pu, Li Fengyi, Liu Ying, Li Xinyang. (2023). An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +". International Journal of Agricultural Economics, 8(2), 68-76. https://doi.org/10.11648/j.ijae.20230802.12
ACS Style
Du Pu; Li Fengyi; Liu Ying; Li Xinyang. An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +". Int. J. Agric. Econ. 2023, 8(2), 68-76. doi: 10.11648/j.ijae.20230802.12
AMA Style
Du Pu, Li Fengyi, Liu Ying, Li Xinyang. An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +". Int J Agric Econ. 2023;8(2):68-76. doi: 10.11648/j.ijae.20230802.12
@article{10.11648/j.ijae.20230802.12, author = {Du Pu and Li Fengyi and Liu Ying and Li Xinyang}, title = {An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +"}, journal = {International Journal of Agricultural Economics}, volume = {8}, number = {2}, pages = {68-76}, doi = {10.11648/j.ijae.20230802.12}, url = {https://doi.org/10.11648/j.ijae.20230802.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20230802.12}, abstract = {The e-commerce of agricultural machinery components can help the rapid development of the agricultural machinery industry and accelerate the implementation of rural revitalization strategies. The study selected the small and micro enterprises in Pangkou Auto Agricultural Machinery Parts City, Gaotang County, as the research subjects, and conducted an empirical analysis on the adoption willingness of e-commerce operators of agricultural machinery parts in Pangkou Auto Agricultural Machinery Parts City by building an economic model. The results showed that the accuracy of the economic model's prediction reached 76%, and the value of Nagelerke R2 reached 0.580, indicating that the model has a good fitting effect as a whole, it has a good explanatory effect and statistical significance for the dependent variable. The results show that age has become a protective factor for the e-commerce willingness of agricultural machinery component operators, while other factors have a relatively weak effect on the e-commerce operation of hospitals. The research provided a specific explanation of the results and summarized the construction of a complete network system to improve the level of after-sales service; strengthen digital empowering retail and implement an e-commerce+live streaming marketing model; improve e-commerce capabilities and break down barriers to information exchange; strengthen financial policy support and a series of countermeasures to expand the e-commerce operation of agricultural machinery parts.}, year = {2023} }
TY - JOUR T1 - An Empirical Study on the Willingness to Adopt E-commerce of Agricultural Machinery Parts Operators Under the Background of "Internet +" AU - Du Pu AU - Li Fengyi AU - Liu Ying AU - Li Xinyang Y1 - 2023/04/18 PY - 2023 N1 - https://doi.org/10.11648/j.ijae.20230802.12 DO - 10.11648/j.ijae.20230802.12 T2 - International Journal of Agricultural Economics JF - International Journal of Agricultural Economics JO - International Journal of Agricultural Economics SP - 68 EP - 76 PB - Science Publishing Group SN - 2575-3843 UR - https://doi.org/10.11648/j.ijae.20230802.12 AB - The e-commerce of agricultural machinery components can help the rapid development of the agricultural machinery industry and accelerate the implementation of rural revitalization strategies. The study selected the small and micro enterprises in Pangkou Auto Agricultural Machinery Parts City, Gaotang County, as the research subjects, and conducted an empirical analysis on the adoption willingness of e-commerce operators of agricultural machinery parts in Pangkou Auto Agricultural Machinery Parts City by building an economic model. The results showed that the accuracy of the economic model's prediction reached 76%, and the value of Nagelerke R2 reached 0.580, indicating that the model has a good fitting effect as a whole, it has a good explanatory effect and statistical significance for the dependent variable. The results show that age has become a protective factor for the e-commerce willingness of agricultural machinery component operators, while other factors have a relatively weak effect on the e-commerce operation of hospitals. The research provided a specific explanation of the results and summarized the construction of a complete network system to improve the level of after-sales service; strengthen digital empowering retail and implement an e-commerce+live streaming marketing model; improve e-commerce capabilities and break down barriers to information exchange; strengthen financial policy support and a series of countermeasures to expand the e-commerce operation of agricultural machinery parts. VL - 8 IS - 2 ER -