Agricultural industries are the foundation of the modernization of agricultural and rural areas in China. National Modern Agricultural Industrial Parks (NMAIPs) provides a considerable nationwide platform for agricultural industries. We take 200 NMAIPs in China as objects. Through spatial analysis, the Herfindahl–Hirschman index, and the SBM-DEA model, we analyzed the development characteristics and regional differences of NMAIPs from the muti-level perspective of national planning, provincial coordination, and county implementation to propose policy recommendations aimed at sustainable and high-quality development. The results are as follows: (1) Regarding geospatial characteristics, NMAIPs are unevenly distributed, with a decreasing gradient from east to west. The direction is east (northward) to west (southward), consistent with the direction of the Hu line. The distribution density shows that the east is dense and the west is sparse. (2) For industrial concentration, the leading industries in NMAIPs tend to be homogenous. The HHI indicates that the homogenization of leading industries is widely represented in each province. The low oligopolistic areas are in the central and eastern regions of China, while the highly oligopolistic locations are in the western and northeastern provinces. (3) In inputs–outputs efficiency, the comprehensive technical efficiency is high but not optimal, while the distribution of values is high in the south and low in the north. Ten provinces are non-effective. According to inputs and outputs, the ineffective contribution of population of townships covered, occupied area and the capital from the collective economy are development barriers, and the high output value of NMAIPs cannot fully drive the employment and income of farmers. Further improvements are needed in terms of both pure technical efficiency and scale efficiency, and adjustments to scale operations should be in response to different returns to scale. Our research results provide policy recommendations for NMAIPs, including the establishment of a multi-level management mechanism, balancing regional development, diversifying and coordinating regional leading industries, and improving the efficiency of utilization factors.

This study aims to analyze the spatial distribution characteristics and innovation efficiency of national agricultural science and technology parks (NASTPs) and identify the main influencing factors on the parks’ innovation and development. The goal is to optimize the allocation of science and technology innovation resources in these parks, promote national agricultural science and technology innovation, and enhance the quality of agricultural development. To achieve this, the paper employs spatial analysis methods and a three-stage DEA-Tobit model to conduct both macro and micro-level analyses. The research findings are as follows: (1) Distribution characteristics: NASTPs tend to exhibit a uniform distribution at the national scale, but at the provincial level, their distribution appears clustered and uneven. Specifically, three high-density areas and two sub-high-density areas have emerged on the eastern side of the Hu line, displaying a decreasing trend from east to west. (2) Innovation efficiency: By excluding the influence of environmental factors and random interference, the lack of scale efficiency (SE) emerges as the primary reason for the generally low innovation efficiency of NASTPs. (3) Environmental factors: Science and technology training exhibits a negative correlation with innovation efficiency in NASTPs. Leading enterprises, income level, innovation support, and demonstration and promotion show positive correlations with IE in NASTPs. To promote national agricultural science and technology innovation and enhance the quality of agricultural development, it is recommended, based on a central-level development perspective, to focus on the layout of the northeast and northwest regions. At the local level, expanding the scale of key enterprise inputs and increasing the demonstration and promotion of scientific and technological achievements are recommended. Additionally, at the NASTPs level, guiding the construction of a national agricultural high-tech industry demonstration zone is advised.

In many developing countries, organic agriculture is increasingly recognized as a key strategy for promoting rural economic development and improving farmer welfare. It is primarily smallholders who form the foundation of organic production in these areas. However, these farmers face significant challenges in adopting organic farming methods. The aim of this paper is to investigate solutions to the challenges encountered by smallholders. This research utilizes an integrated approach and includes a case study of the organic sorghum sector in Zunyi, China. The findings indicate that (1) a robust partnership has been established between enterprises, government, and farmers in the organic sorghum industry in Zunyi. Enterprises purchase the sorghum, cover organic certification costs, and partially fund material inputs, while local government facilitates organization, coordination, and technical support, with farmers responsible for production. (2) This collaboration has catalyzed high-quality development in the industry, benefiting all stakeholders. (3) Through this collaborative model, common challenges faced by smallholders, such as obstacles in obtaining certification, income fluctuations, and unfair market conditions, have been mitigated. Consequently, smallholders secure stable and reliable income as they benefit from favorable contract prices for organic sorghum and the assumption by enterprises of most material input costs. This study offers valuable empirical evidence that can guide the expansion of organic agriculture in similar regions and countries.

The scientific evaluation of ecological total factor productivity of cultivated land use (ETFPCLU) is fundamental for advancing sustainable utilization of cultivated land resources and safeguarding national food security and ecological stability. Using the epsilon-based measure and the global Malmquist–Luenberger (EBM–GML) index, this study quantifies and decomposes ETFPCLU across China. Spatial–temporal variations and convergence patterns are systematically investigated via an analytical toolkit comprising the spatial mismatch index, Dagum’s Gini coefficient decomposition, and convergence models. The results indicate that Chinese ETFPCLU increased by an average of 2.1% per year from 2001 to 2022, primarily attributed to technical change (TC), with limited contributions from efficiency change (EC). The spatial mismatch between ETFPCLU and TC, as well as EC, is predominantly characterized by low to medium mismatch types, exhibiting a high degree of spatial distribution similarity; inter-regional differences are the main contributors to regional disparities. Furthermore, except for the central region, significant σ-convergence exists in ETFPCLU across the country and in other regions, alongside absolute β-convergence and conditional β-convergence in the four major regions. The analysis concludes that to enhance ETFPCLU, it is essential to strengthen technological innovation, synergistically improve technological efficiency, formulate ecological protection policies tailored to local conditions, and foster collaboration among regions for cultivated land protection.