Coupling coordination between high-quality development of new agricultural business entities and agricultural green transformation: evidence from China
Chongxuan Ma, Qi LiAbstract
Promoting the coordinated advancement of the high-quality development (HQD) of new agricultural business entities (NABEs) and agricultural green transformation is a key pathway to building a modern agricultural management system and achieving sustainable agricultural development. Using panel data from 30 Chinese provinces spanning 2013–23, this study employed a coupling coordination model to examine the coordinated development between the HQD of NABEs and agricultural green transformation. The results indicated that: (i) the coupling coordination degree between NABEs’ HQD and agricultural green transformation increased from near disorder to primary coordination. Among different dimensions, governance standardization dimension exhibited the highest coordination level, while the demonstration role dimension, despite its low initial level, showed the greatest improvement. (ii) Among the three types of NABEs, leading agricultural enterprises exhibited the highest coupling coordination level, followed by farmer cooperatives, whereas family farms showed the lowest level but the fastest rate of improvement. (iii) Compared with major grain-consuming regions and grain production–consumption balanced regions, major grain-producing regions exhibited both the highest coupling coordination level and the fastest rate of improvement. (iv) The coupling coordination degree between the two systems showed a gradual upward trend. Regions with low coordination benefited from positive spillover effects from neighboring high-coordination regions. (v) The processing and marketing stages of the agricultural value chain significantly promoted coupling coordination, whereas the production stage showed no significant effect. Furthermore, full-chain integration and benefit-sharing mechanisms can overcome the limitations of the production stage and strengthen the positive effects of all value chain stages.