Author
Listed:
- Wei Luo
(Business School, Guilin University of Technology, Guilin 541004, China)
- Shanxiang Zuo
(Business School, Guilin University of Technology, Guilin 541004, China)
- Shengfa Tang
(School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China)
- Changgui Li
(Business School, Guilin University of Technology, Guilin 541004, China)
Abstract
The formation and development of new quality productivity of agriculture can effectively promote agricultural sustainability and modernization. In order to explore the multiple paths of the formation of new quality productivity of agriculture, using the panel data of 30 provincial levels in China from 2012 to 2021, based on the “technology-organization-environment” framework and dynamic QCA method, this paper explores how seven factors such as agricultural technology innovation, digital infrastructure, innovation policy support, the formation of e-commerce industry, marketization level, green finance, and rural culture modernization interact to promote the formation of new quality productivity of agriculture. The findings reveal that none of the above seven factors can promote the formation of new quality productivity of agriculture, and agricultural technological innovation and digital infrastructure are becoming more and more important to the formation of new quality productivity of agriculture over time. The high new quality productivity of agriculture formation models can be categorized into four types: TOE empowers new business model development-driven, government–market–culture triple-driven, market-oriented efficient transformation of technological achievements-driven, and deep integration of agricultural technological innovation and emerging agricultural business models-driven. The configurational results exhibit significant regional effects, with diverse pathways for the formation of new quality productivity of agriculture across different provinces.
Suggested Citation
Download full text from publisher
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:17:y:2025:i:2:p:597-:d:1566685. 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.
We have no bibliographic references for this item. You can help adding them by using 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.