Recessive morphology transition (RMT) involves the smooth transition of farmland property rights, input structure, quality, and function. China’s agriculture has changed from a period of high-speed growth to a period of high-quality development. Compared with dominant morphology transition (DMT) characterized by quantitative focus, it is of more practical significance to explore the impact of RMT on high-quality agricultural development (HAD). This paper firstly constructed a multidimensional index system to quantify HAD. Based on analysis of the impact mechanism of RMT on HAD, a spatial econometric model was established to explore the impact by making use of the panel data of 27 provinces in China from 2003–2017. The results indicated that RMT and HAD both have positive geospatial correlation. Furthermore, the spatial econometric model provides more accurate results of the impact of RMT on HAD than panel models. If the RMT in a local province increases by 1%, HAD could be augmented by 0.13%. Likewise, RMT has a strong positive spatial spillover effect on HAD. If the RMT in a certain province increases by 1%, HAD could add 1.22% in neighboring provinces. The analysis suggests that spatial coordination of farmland use is an important foundation for constructing high-quality development association of regional agriculture. It is necessary to strengthen intergovernmental cooperation in the process of farmland recessive morphology transition and high-quality agricultural development.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.