Rural ecological revitalization plays an important role in the rural revitalization strategy. The government empowered rural enterprises from three dimensions such as the institution, the technology and the culture in order to promote their green transformation and achieve rural ecological revitalization. The paths for the government to empower rural enterprises to participate in rural ecological revitalization included: promoting the government′s institutional empowerment of rural enterprises——issuing and implementing rural ecological environment standards, relevant punishment policies for rural enterprises′ pollution behaviors, a green financial support policy system for rural enterprises, market principles for the promotion and application of rural environmental protection technology, building a socialized service platform for rural enterprises to implement green production and operation activities, and promoting the legalization of green regulatory policies and measures for rural enterprises; promoting the government′s technological empowerment of rural enterprises——encouraging and guiding rural enterprises to adopt green technologies and pursue park-based development; promoting cultural empowerment of rural enterprises by the government——cultivating the awareness of green production and operation of rural enterprises, creating a green corporate culture.

Rural characteristic industries are an important way to promote rural revitalization and sustained income growth of farmers. In recent years, Laixi City of Qingdao has vigorously developed the fruit characteristic industry, becoming a well-known northern fruit base in China, which has played an important role in increasing farmers′ income and making them rich. Based on the perspective of internal and external embedding, this paper conducted in-depth research on relevant government departments, villages and main bodies engaged in the fruit industry in Laixi City, systematically sorted out the development conditions of the fruit characteristic industry, constructed a theoretical framework of "external embedding - internal response - wealth-creating transformation", and analyzed its wealth-creating mechanism and development path. The study found that: the successful cultivation of rural characteristic industries requires the combination of effective actions by grassroots governments and the stimulation of rural endogenous driving forces. Specifically, it is reflected in the collaborative interaction between external government embedding (policy guidance, public welfare service support, facility guarantee) and internal rural embedding (cognition and relationships within the industry, rural grassroots organizations). The transformation path of its wealth-creating mechanism is manifested in activating various rural resources by improving resource utilization efficiency, realizing value enhancement through the premium effect of brands and quality, and achieving benefit sharing through multiple links and business formats derived from the industrial chain.

Enhancing farmers′ willingness to continue grain production is fundamental to ensuring national food security and maintaining social stability. This study focused on the relationship between land transfer contracts and farmers′ willingness to sustain grain production. Based on survey data from 477 grain-producing households across six provinces collected by the "National Rural Management Patterns" project team, a binary Logit regression model was employed to analyze the impact of land transfer contracts on farmers′ willingness to continue grain cultivation. The results indicated that: the standardization of land transfer contracts was significantly positively correlated with farmers′ willingness to continue grain production, and the signing of standardized and favorable contracts could effectively enhance this willingness. Conversely, the compensatory nature of land transfer contracts was negatively correlated with farmers′ willingness to continue grain production. The existence of land transfer rents will lead to an increase in the overall cost of grain cultivation, which will weaken farmers′ willingness to continue grain production. Additionally, farmers′ occupational differentiation moderated their sensitivity to contract characteristics, full-time farmers who were highly dependent on land income were more sensitive to the characteristics of land transfer contracts, while part-time farmers with diversified income sources showed relatively weaker sensitivity. Therefore, it is recommended to improve the relevant laws and regulations on land transfer contracts to strengthen the guarantee of contract stability, enhance guidance on land transfer rents to reasonably regulate rental levels, raise farmers′ awareness of land transfer contracts, and establish a linkage mechanism between land transfer contracts and government subsidies.

This paper took the development level of smart agriculture and tourism in Hunan Province as the research object, selected 18 indicators to construct a coupling coordination level evaluation system, and used the entropy weight method, coupling coordination degree model, gray correlation method, etc. to analyze the coupling coordination development level and temporal evolution of smart agriculture and tourism in Hunan Province from 2014 to 2023. The results showed that: the weights of the gross output value of agriculture, forestry, animal husbandry and fishery, the number of undergraduate agronomy graduates in colleges and universities, and the agricultural insurance premium income ranked among the top three in the smart agriculture index, while the weights of international tourism income, the proportion of added value of tourism and related industries to regional GDP, and the number of travel agencies ranked high in the tourism index. From 2014 to 2023, the coupling coordination degree of smart agriculture and tourism in Hunan Province increased from "the serious imbalance" in 2014 to "the primary coordination" in 2023, and the results of industrial integration were remarkable. The comprehensive score of smart agriculture continued to grow from 0.101 to 0.910, and the comprehensive score of tourism peaked at 0.737 in 2019, dropped to 0.240 from 2020 to 2022 due to the pandemic and rebounded to 0.468 in 2023(among them, the per capita consumption expenditure on education, culture and entertainment and agricultural insurance premium income of rural residents played the strongest driving role in tourism). The coupling coordination level of smart agriculture and tourism showed a trajectory of "fluctuating rise-decline due to the pandemic impact-recovery and improvement", at this stage, it has entered "the primary coordination" stage, indicating that there was always a win-win relationship between smart agriculture and tourism in the development process. In the tourism industry, the number of A-level tourist attractions, the number of travel agencies, and the proportion of added value of tourism and related industries to regional GDP had a significant role in supporting smart agriculture. Therefore, it is recommended to strengthen the deep integration of "smart agriculture + tourism" by leveraging the leading role of smart agriculture, establishing an "international agricultural tourism brand" cultivation mechanism, and activating the potential of gray correlation analysis. These measures will further optimize the industrial coordination mechanism, and help rural revitalization and high-quality development of the regional economy.

Agricultural technological innovation is the key engine for the development of new quality rural productive forces. Based on the TOE framework, this study took 38 agricultural listed companies in Shanghai and Shenzhen A-share markets from 2021 to 2023 as the research object, and systematically explored the synergistic mechanism of 7 conditional variables including technological R&D capability, technological R&D investment, and the comprehensive performance of enterprises in environmental, social, and corporate governance (corporate ESG performance) on the technological innovation of agricultural enterprises by fuzzy set qualitative comparative analysis (fsQCA). The study showed that: agricultural enterprise technology innovation was the result of multi-factor synergistic effect, and there was no necessary condition; there were two typical models to achieve a high level of technological innovation,namely, "ESG-subsidy-led" and "technology investment-regulation-driven", the former took ESG performance and government subsidies as core conditions,while the latter highlighted the synergistic effect of technological R&D investment, environmental regulation and big data industry development; corporate ESG performance and government subsidies showed the characteristics of high intensity and high consistency, and there was substitutability under specific conditions. Based on this, it is suggested that the agricultural enterprises integrate technological R&D capabilities, ESG system construction and digital transformation to build an innovation management system, and choose a technology innovation-driven path that is suitable for their own development by using the "ESG-subsidy-led" and "technology investment-regulation-driven" modes; the government establish a "subsidy + tax reduction and exemption + R&D interest discount" policy to promote the development of the big data industry and improve intellectual property protection, so as to provide theoretical basis and practical reference for the independent technological innovation and the development of new quality rural productive forces in China.

New-type agricultural laborers′ green entrepreneurship provides significant practical exploration for advancing the green transformation of agriculture, and analyzing the process and internal logic of their green entrepreneurship is of practical significance. Based on the successful case of new-type agricultural laborers′ returning to hometowns for entrepreneurship to promote agricultural green development in G County, Yibin City, the practical mechanisms of new-type agricultural laborers′ green agricultural entrepreneurship were explored, and effective paths for advancement were proposed through investigation and research. The study was found that: local sentiment and resource accumulation, local support and agricultural technology empowerment, as well as entrepreneurial resilience and innovative management were indispensable supportive guarantees and core drivers for new-type agricultural laborers to promote green agricultural development. Measures should be taken to encourage new-type agricultural laborers to enhance their comprehensive abilities, improve the construction of supporting service systems, and refine policies for securing essential elements, etc.,facilitating their engagement in the green transformation and development of agriculture.

As a major spring rapeseed producing area and an important base for agricultural and livestock products in China, Inner Mongolia plays a crucial role in the national strategy of "increasing domestic oil supply in the oil bottle ". Based on the macro statistical data of Inner Mongolia and its 12 leagues/cities from 2012 to 2023, this study systematically explored the overall production characteristics of oil crops in Inner Mongolia, with a specific focus on analyzing the regional differences, development potential and practical dilemmas of the rapeseed industry by adopting data analysis methods. It also revealed issues related to rapeseed processing and market promotion, and proposed corresponding recommendations to enhance the overall efficiency of the rapeseed industry. The study showed that: from 2012 to 2023, the sown area and total output of oil crops in Inner Mongolia showed an overall trend of "steady growth with fluctuations", although rape was not a dominant crop, its sustained and stable production was of great value. It could not only optimize the planting structure of oil crops in Inner Mongolia and mitigate the risk of over-reliance on a single crop, but also support the supply of regional characteristic oilseeds. From the perspective of regional differences, rapeseed producing areas in Inner Mongolia were divided into four categories, Hulun Buir City as the core area, Xing′an League and Ulanqab City as the potential areas, Chifeng City and Tongliao City as the auxiliary producing areas, and Wuhai City and Alagxa League as the areas with minimal rapeseed cultivation. The rapeseed industry in Inner Mongolia had three major development potentials: superior natural conditions, improved planting technologies, and strong policy support. However, there were problems such as weak seed source foundation and outdated cultivation techniques in the planting process. In terms of industrial chain extension, it faced problems including lagging intensive processing, weak industrial chain coordination, and obstacles in technology promotion. Accordingly, specific measures were proposed, including strengthening technological research on breeding and other fields, building an intelligent agricultural production system, improving the intensive and deep processing technology system and enhancing relevant facilities and equipment, intensifying the interest linkage mechanism and strengthening brand building and international cooperation, increasing government support to promote the technology popularization across the entire industrial chain, and establishing a mechanism for provincial-level overall planning and coordination among leagues and cities to improve overall efficiency. These measures were aimed at providing references for the high-quality development of the rapeseed industry in Inner Mongolia.

With the continuous implementation of inclusive finance and grassland subsidy rewards policies, herders′ incomes have risen, drivinen increased demand for household financial asset allocation. However, herder households still face prominent problems in financial asset selection, including limited financial product diversity in pastoral areas and homogenized asset selection behavior. Therefore, based on field research data on the financial assets of herder households, this article employed structural equation modeling to analyze the factors influencing their asset selection behavior. The research indicated that: household structure and economic characteristics had a significant positive effect on risky and stable investment behaviors, with economic characteristics had a greater effect on stable investments than on risky investment behavior; behavioral characteristics had a significant positive effect on risky investment behavior, but had no significant effect on stable investment behavior. Accordingly, recommendations are proposed to enhance differentiated financial education, enrich the supply of financial products, strengthen household economic capacity, and improve the financial service system in pastoral areas. These measures aimed to optimize herder households financial asset selection behavior, and support sustainable income growth for herders.

As an important agricultural production area in China, the dynamic correlation between runoff and crop yield in Ganjiang River Basin is of crucial importance for the sustainable development of regional agriculture. Based on the runoff and related data of rice and citrus yields in Ganzhou, Ji′an, and Nanchang from 2000 to 2023, this article used descriptive statistical analysis and correlation matrix analysis to empirically study the multivariate causal relationship; and took the time delay terms of river runoff and rice citrus yield as independent variables, with using multivariate time series regression, deeply discussed the dynamic response relationship between river runoff in Ganjiang River Basin and rice and citrus yields in Ganzhou, Ji′an, and Nanchang. The results showed that: there was a significant correlation between the runoff of rivers in Ganjiang River Basin and rice and citrus yields, represented by the runoff of Nanchang; the runoff of rivers in Ganjiang River Basin exhibited significant periodic changes, which significantly affected rice and citrus yields in this region. According to the empirical analysis results,it is predicted that citrus yield in Ji′an will tend to stabilize in the future, while rice and citrus yields in Ganzhou and Nanchang will show a relatively slight downward trend.

With the deepening of the Western Development Strategy and comprehensive rural revitalization by China, it is urgent to scientifically quantify the level of agricultural net carbon sink, providing support for the development of green and low-carbon agriculture and the construction of ecological compensation mechanisms. The study took 12 provinces, autonomous regions, and municipalities in Western China from 2014 to 2023 as the research area, to calculate agricultural net carbon sink. On this basis, methods such as kernel density estimation, gravity model, Moran's index, Dagum Gini coefficient, and multiple linear regression model were used to systematically explore the spatiotemporal evolution characteristics and influencing factors of agricultural net carbon sink. The research showed that: the overall level of agricultural net carbon sink in Western China had shown a fluctuating upward trend, and the regional carbon sequestration effect continued to be prominent; the spatial connectivity of total agricultural net carbon sink had significantly increased, and the gravity network showed a significant spatial differentiation feature of "sparse in the west and dense in the east"; agricultural net carbon sink showed a significant positive spatial correlation, but there was a spatial differentiation feature of core diffusion and edge lock-in coexisting; the overall Gini coefficient showed a fluctuating downward trend, and intra-regional disparities were the main contributor to regional differences; the structure of farmland utilization, the intensity of agricultural fiscal expenditure, and the internal industrial structure of agriculture had a significant positive driving effect on the formation of agricultural net carbon sink. Based on this, the following measures were proposed, optimize the agricultural production structure and reduce the intensity of carbon source emissions, strengthen regional collaboration mechanisms and solve the problem of spatial imbalance; increase policy support and enhance the capability to drive carbon sequestration, promote technological innovation and application, and enhance carbon sink monitoring capabilities.