Florfenicol (FF) is a novel animal-specific amidohydrin broad-spectrum antibiotic. However, its aqueous solubility is extremely poor, far below the effective dose required for veterinary clinic. Thus, FF is often used in large doses, which significantly limits its preparation and application. To overcome these shortcomings, the FF-hydroxypropyl-β-cyclodextrin (FF-HP-β-CD) inclusion complexes were developed using the solution-stirring method. The physical properties of FF-HP-β-CD were characterized. A comparison was conducted between FF and FF-HP-β-CD freeze-dried powder injection of their muscle irritation and the pharmacokinetics. The drug loading and saturated solubility of FF-HP-β-CD at 37 °C were 11.78% ± 0.04% and 78.93 ± 0.42 mg/mL, respectively (35.4-fold compared with FF). Results of scanning electron microscopy, differential scanning calorimetry, X-ray diffraction, and Fourier transform infrared showed that FF was entrapped in the inner cavity of HP-β-CD, and the inclusion complex formed in an amorphous state. In comparison with FF commercial injection, FF-HP-β-CD increased the elimination half-life (t_1/2β), transport rate constant (K₁₀, K₁₂, K₂₁), and maximum concentration (C_max) after intramuscular injection in beagle dogs. Conversely, it decreased the distribution half-life (t_1/2α), absorption rate constant (Ka), apparent volume of distribution (V1/F), and peak time (T_max). These results suggest that FF-HP-β-CD freeze-dried powder injection is a promising formulation for clinical application.

China’s urban–rural dichotomy has resulted in a widening gap between urban and rural areas, posing significant challenges to rural development. This study aims to investigate the spatio-temporal differentiation and driving mechanisms of rural industry integration within the Chengdu–Chongqing Economic Circle in China. Using panel data from 2011 to 2020, we employed the entropy weight TOPSIS method to construct a comprehensive index that charts the evolution of rural industry integration across various districts and counties. Additionally, we utilized fixed-effect and spatio-temporally weighted regression models to analyze the underlying driving forces behind this integration. Our findings reveal a dynamic and varied landscape of rural industry integration, with different levels of depth and breadth across various subsystems. Spatially, we observed a transition from a dispersed to a more concentrated agglomeration pattern within the Chengdu–Chongqing Economic Circle. This shift suggests a diffusion effect emanating from core metropolitan areas, as well as an attracting force exerted by adjacent metropolitan circles. In terms of drivers, market demand, openness level, financial development, policy support, and agricultural insurance breadth significantly contribute to rural industry integration. However, technological progress and rural human capital exhibit a weaker correlation. Notably, our models identified pronounced spatial–temporal heterogeneity among these influencing factors, highlighting a nuanced and dynamic relationship between them. Overall, our study emphasizes the crucial role of rural industry integration in bridging the urban–rural divide and fostering sustainable agricultural development and rural revitalization. The insights gained from this research provide valuable guidance for policymakers and stakeholders seeking to optimize rural development strategies and unlock the potential of integrated rural industries.

Farmers’ cooperatives play an important role in enabling small farmers to integrate into modern agriculture. Based on the survey data of 7200 farmers in four provinces of China, this paper uses the multi-dimensional poverty measurement method and the instrumental variable method to reveal the transmission mechanism and multi-dimensional poverty reduction effect of farmers’ cooperatives in deep poverty-stricken areas in China to realize joint agricultural empowerment through the supply chain. The results show that farmers’ cooperatives play an important role in enhancing small farmers’ financing, technology application, market sales, and rights decision-making. Every increase in the degree of interest connection between the two will help farmers reduce the multi-dimensional poverty level by 12.3%, and the mitigation effects on material poverty, ability poverty, and rights poverty are between 10% and 13%. Compared with agricultural cooperatives with weak organizational service capacity, cooperatives with high organizational service capacity have a more significant multi-dimensional poverty reduction effect on farmers, which leads to farmers obtaining financing and improving their ability and income. In addition, the difference in benefit coupling between agricultural cooperatives and farmers of different leading bodies also results in the heterogeneity of multi-dimensional poverty alleviation effects of farmers. To a certain extent, the supply chain is affected by the risk endowment of members, the supply chain’s poverty alleviation performance is affected by members’ supply chain’s poverty alleviation performance, and there is a certain risk transfer and “distribution failure”. Therefore, optimizing the benefit coupling structure and risk sharing mechanism between farmers’ cooperatives and farmers has become an important way to break the pattern of “the strong are always strong” and “distribution failure” for supply chain members and farmers.

The application of digital technology in China’s rural areas has triggered a brand-new allocation of agricultural factors, posing challenges to the sustainable growth of entrepreneurial income. Using empowerment theory and entrepreneurial process theory, this paper explores the mediating role of entrepreneurial alertness and resource bricolage in the relationship between digital capabilities and the sustainable growth of entrepreneurial income. Using questionnaire survey data from 490 farmer entrepreneurs in China, this paper empirically tests the effect of digital capabilities on the sustainable growth of entrepreneurial income through a multiple regression model. The findings show that: (1) digital capabilities have a significant positive effect on the sustainable increase in entrepreneurial income; (2) digital applicational capabilities and digital innovation capabilities can affect the sustainable increase in entrepreneurial income through the intermediary paths of entrepreneurial alertness and resource bricolage; and (3) digital capabilities have a more significant positive impact on the sustained growth of entrepreneurial income for young farmers and those with professional work experience in large cities who embark on farming entrepreneurship. This paper reveals the effect of digital technology when embedded in the entrepreneurial process. It also provides a theoretical reference and empirical support for the government to formulate reasonable entrepreneurial policies and offers new paths and solutions to promote sustainable entrepreneurial development through digital capabilities.

This study examines the coupling coordination between digital inclusive finance (DIF) and rural industrial integration development (RIID) in China from 2011 to 2021, using panel data from 282 prefecture-level cities. By employing the coupling coordination model and entropy method, the research analyzes the spatiotemporal evolution and regional disparities of DIF and RIID. Key findings include the following: (1) The coupling coordination degree between DIF and RIID shows a consistent upward trend, transitioning from mild imbalance to primary coordination, though RIID lags behind DIF. (2) Significant regional disparities exist, with an “N-shaped” spatial distribution pattern from south to north, where eastern and northeastern regions exhibit higher coordination levels compared to central and western regions. (3) Regional differences are narrowing, driven primarily by inter-regional disparities, with strong spatial spillover effects observed in “high–high” and “low–low” agglomerations. (4) The overall spatial network tightness and stability have improved, with eastern regions playing a central role in the network, while northeastern and western regions remain relatively marginal. Policy recommendations include expanding DIF applications in rural industries, reducing regional disparities through resource allocation, promoting rural industrial integration in underdeveloped areas, and strengthening regional coordination to facilitate resource flow.