Under the rural revitalization strategy, financial literacy education for farmers in the eastern, western and northern regions of Guangdong Province is of vital importance for promoting the sustainable development of the rural economy. At present, financial literacy education in this region has achieved certain results, but there are still many problems, such as deviations in educational cognition and insufficient attention in thought; educational resources are relatively limited and the channels for acquiring knowledge are narrow; educational content is divorced from reality and lacks pertinence and innovation; educational model is monotonous and lacks diversity, interactivity and fun; frequent telecom and online fraud have exacerbated the spread of trust crises, etc. In response to these issues, based on a systematic review of successful experiences such as promoting financial literacy education through agricultural training classes during the "village-building movement" in Oita Prefecture, Japan; integrating financial literacy education for villagers into the "rural renewal" in Germany; and the "three-dimensional integration" financial literacy education practice in Quanzhou County, Guangxi; a further in-depth analysis was conducted on the new opportunities faced by financial literacy education for farmers in the eastern, western and northern regions of Guangdong Province. Finally, it is proposed to cultivate new types of subjects and leverage their leading and exemplary role, promote digital empowerment and expand educational service channels, focus on industrial demands and customize characteristic financial and economic courses, strengthen financial support and build a bridge for the connection between industry and finance, strengthen information empowerment and build a pattern of mass prevention and control. So as to provide references for improving the level of financial literacy education in the eastern, western and northern regions of Guangdong Province.

Cultivating the new quality rural productive forces is a core driver for facilitating the transformation and upgrading of major grain-producing regions and strengthening international agricultural competitiveness. Using the core area of "Tianfu Granary" as a case study, this paper built a "dual-support, four-level nested" analytical framework to systematically assess the practical foundations and major obstacles to cultivating the new quality rural productive forces in major grain-producing regions, and proposed actionable and scalable strategies for advancement. The study revealed that: the core area of "Tianfu Granary" had achieved notable progress in agricultural mechanization, digitalization, and green transition, evidenced by a stable production foundation, steadily increasing labor productivity, and continuous improvement in human capital. Nevertheless, it continued to face multiple challenges, including inadequate technological adaptation, lagging institutional support, uneven service systems, tightening resource and environmental constraints, insufficient market and financial support, and limited resilience in risk prevention and control mechanisms. In response, this paper proposed a series of systematic strategies, such as technology integration and extension, institutional innovation and factor reform, building socialized service systems, promoting green and low-carbon transformation, improving market and financial mechanisms, and strengthening risk management systems, all aimed at comprehensively enhancing the new quality rural productive forces.

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.

Under the context of promoting comprehensive rural revitalization, digital inclusive finance, with its low threshold, wide coverage, and high efficiency, has become a core driving force to break through the spatiotemporal limitations of traditional finance, solve the financial exclusion of farmers, stimulate farmers′ enthusiasm for entrepreneurship and employment, and increase farmers′ income. Based on the provincial panel data of 31 provinces, autonomous regions, and municipalities （directly under the central government）in China（excluding Hong Kong, Macao and Taiwan）from 2014 to 2023, this paper constructed a spatial econometric model and a threshold effect model to empirically test the spatial spillover effect and threshold effect of digital inclusive finance on farmers′ income growth. The results showed that: digital inclusive finance significantly promoted local farmers′ income growth, and this effect was mainly reflected through the dimension of the coverage breadth of digital inclusive finance. However, due to the siphoning effect, it had a negative spatial spillover effect on the income of farmers in neighboring areas. The robustness test, conducted by winsorizing the variables at the 5% level on both sides, also strengthened the above conclusion. Further research revealed a significant nonlinear relationship between digital inclusive finance and farmers′ income growth. By treating digital inclusive finance as the threshold variable and constructing a double-threshold model, it was found that the impact of digital inclusive finance on farmers′ income growth showed a nonlinear trend of increasing marginal effect. Based on the research results, the article proposed suggestions and countermeasures to promote farmers′ income growth from the perspectives of improving digital infrastructure construction, innovating financial products and services suitable for agricultural production scenarios and farmers′ needs, enhancing farmers′ digital financial literacy, and strengthening government supervision and coordination.

After the victory of the poverty alleviation campaign, China has entered a critical period of consolidating poverty alleviation achievements and comprehensively advancing rural revitalization, where consumption-driven poverty alleviation has become an important path to prevent rural poverty recurrence. This study supplemented the micro-behavioral perspective in consumption-driven poverty alleviation research, taking college students as the research object, integrated consumer behavior theory, social responsibility theory, and information-intervention theory to build a multi-dimensional analytical framework. By using a mixed Logit model and latent class analysis, the study systematically measured college students′ attribute preferences, marginal willingness to pay for poverty-alleviation agricultural products（blueberries from Majiang County, Guizhou Province）, and the moderating effects of information intervention. The results showed that: the poverty-alleviation attribute had the highest marginal utility for purchase decisions, and its impact was significantly higher than that of brand attribute and quality attribute, confirming that college students′ decision-making had the dual logic of rational economic demands and social responsibility motivation. Consumers′ preferences showed significant heterogeneity, which could be divided into self-interest-oriented groups and altruism-brand-oriented groups. Information intervention had a significant positive direct impact on college students′ purchase, and enhanced college students′ value recognition of the poverty-alleviation attribute and perceived trust in the quality attribute through the moderating effect, with this effect showing differentiated characteristics among groups of different genders and consumption levels. Accordingly, it is suggested to focus on college students, release their consumption potential through the construction of a university-based consumption-driven poverty alleviation promotion system, differentiated agricultural product designs, and precise information dissemination. Promoting the transformation of consumption-driven poverty alleviation towards an endogenous and voluntary model, so as to provide sustainable impetus for consolidating poverty alleviation achievements and advancing rural revitalization.

Traditional farming culture has the essential connotation of protecting nature. Whether the strengthening of cultural identity can affect the production behavior of farmers has important policy implications for the continuous promotion of straw resource utilization. Based on the survey samples of 307 households in the cultural heritage site of the Aohan dry farming system in Inner Mongolia, this paper adopted the Logit model to study the influence of traditional farming cultural identity on farmers′ adoption behavior of straw returning technology, and took environmental regulations as the moderating variables to explore the regulatory effects of different types of environmental regulations on farmers′ traditional cultural identity and straw returning behavior. The results indicated that: farmers′ identification with traditional farming culture significantly affected their adoption behavior of straw returning technology. The restrictive regulation had a negative moderating effect between traditional farming cultural identity and straw returning technology adoption behavior, while agricultural technology training in the guided regulation had a significant positive moderating effect between traditional farming cultural identity and straw returning technology adoption behavior, but publicity and education did not show a significant moderating effect. The traditional farming cultural identity had a significant positive effect on the older-generation farmers′ adoption of straw returning technology, but had a limited effect on the newer-generation farmers. At the same time, the traditional farming cultural identity had a significant positive impact on the adoption of straw returning technology by large-scale farmers, but the impact on the behavior of small-scale farmers was not obvious. Based on this, the paper put forward countermeasures and suggestions such as strengthening the protection and inheritance of traditional farming culture, promoting the utilization of straw returning by traditional farming culture protection, and strengthening the differentiated construction of environmental regulatory system.

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.

Enhancing the development level of the new quality rural productive forces in counties is a key path to promote the modernization of agriculture and rural revitalization in Chengdu, a mega-city in China. Based on the county statistical data from 2011 to 2022, the article conducted an in-depth study on the development level of the new quality rural productive forces, regional differences, and spatial and temporal evolution characteristics in counties of Chengdu, by using the entropy value method, the Dagum Gini coefficient method, the Kernel density estimation, and the spatial Markov chain. The results showed that, from 2011 to 2022, the development level of the new quality rural productive forces in counties of Chengdu exhibited an upward trend, however, the development of different functional subdivisions was unbalanced, presenting the trend of "East>South>West>North". The overall difference was fluctuating downward, inter-regional differences were the main source, with the average value of the Gini coefficient for some inter-regional comparisons exceeding 0.150, restricting the synergistic development. From the point of view of spatial and temporal evolution, the development level was increasing, and the dynamic differentiation was obvious, the absolute gap between counties was widening, spatial development inertia was strong, and cross-type transfer was difficult. Accordingly, it is recommended to cultivate new agricultural management subjects, strengthen the agricultural technology extension system, optimize agricultural policy support, strengthen the foundation of factor support, and deeply empower digital agricultural development to promote the high quality development of new quality rural productive forces in counties of Chengdu.

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.

Safeguarding food security is a critical priority in advancing the Chinese path to modernization. This study employed provincial panel data covering 30 Chinese provinces (excluding the Tibet Autonomous Region, Hong Kong, Macao and Taiwan) from 2013 to 2023 and adopted multi-period difference-in-differences (DID) and mediation effect models to explore the impact of policy-based agricultural insurance on food security. The findings were as follows: policy-based agricultural insurance significantly enhanced food security. The results remained valid after parallel trend tests, placebo tests, heterogeneous treatment effect estimation and exclusivity tests. The new quality rural productive forces served as a key mechanism through which such insurance promoted food security. The heterogeneity analysis results indicated that in the eastern region, policy-based agricultural insurance significantly enhanced food security. In contrast, in the central, western, and northeastern regions, policy-based agricultural insurance had no significant impact on food security. Moreover, in areas with high natural disaster risks, the food security assurance effect of policy-based agricultural insurance was stronger than in areas with low natural disaster risks. Therefore, the scope of implementation and insurance objects under the policy-based agricultural insurance program should be further expanded. By vigorously developing the new quality rural productive forces and tailoring policy-based agricultural insurance to local conditions. Based on variations in natural geographical locations and natural disaster risks to enhance its role in safeguarding food security.

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.

Under the background of the rapid development of the dairy cattle farming industry in Inner Mongolia, scientifically evaluating production efficiency and cost-benefit performance has great significance.It helps clarify the distribution of benefits across different farming scales, and enhances resource allocation efficiency. This study used cost-benefit data from dairy cattle farming in Inner Mongolia, applying data envelopment analysis（DEA） to measure production efficiency and ANOVA to analyze differences in the cost-profit ratios. The results showed that, from 2012 to 2023, the production efficiency of dairy cattle farming in Inner Mongolia exhibited a fluctuating trend, with an average comprehensive efficiency of 0.858, pure technical efficiency of 0.895, and scale efficiency of 0.956. Thus it could be seen the comprehensive efficiency and pure technical efficiency of large-scale farms were significantly higher than medium-scale farms, and scale efficiency was significantly higher than small-scale farms. The average cost-profit ratio was 5.538% for small-scale farms, 10.781% for medium-scale farms, and 23.946% for large-scale farms, with large-scale farms significantly outperforming than the other two. There was a significant positive correlation between production efficiency and the cost-profit ratio.On the basis of achieving a high level of scale efficiency, improving pure technical efficiency is the key to enhancing overall efficiency in dairy cattle farming in Inner Mongolia. It is recommended that policies be implemented to guide small-scale farmers to moderately expand their farming scale, support medium-scale farms in adopting advanced technologies to improve pure technical efficiency, and help large-scale farms optimize operations at scale management and resource allocation, thereby achieving coordinated improvement in production efficiency and cost-profit ratios and promoting high-quality development of the dairy industry in Inner Mongolia.

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.

The promotion of digital rural governance is of great significance for achieving "strong agricultural sector, a beautiful countryside, and well-off farmers". Based on survey data from 1 020 rural households in Shandong Province,this paper applied the Probit model to conduct an empirical analysis of the factors that influence farmers′ willingness to participate and their behavioral responses in digital rural governance. The research findings indicated that: the older the farmers were and the higher their perceived risks, the lower their willingness to participate in digital rural governance and their corresponding behavioral responses; due to the relatively high level of education among farmers, internal factors such as perceived usefulness, ease of understanding, and value of digital governance, as well as external environmental characteristics, would all significantly enhance farmers′ willingness to participate in digital rural governance and their behavioral responses; farmers′ willingness to participate in digital rural governance could drive their engagement in digital Party-mass education, digital village affairs management, and digital democratic supervision.Therefore, to facilitate the transformation of farmers′ willingness to participate in digital rural governance into actual behavioral responses, the following measures should be implemented: strengthen training on the construction and application of digital infrastructure, and establish age-appropriate and localized service mechanisms; expand participation channels for digital rural governance by leveraging village-level community organizations, and cultivate an atmosphere for digital governance; build a multi-stakeholder collaboration mechanism, and a data feedback incentive system; promote the efficient conversion of farmers′ willingness into actions,thereby improving the effectiveness of digital rural governance.

As a pivotal support for agricultural and rural modernization with Chinese characteristics, the digital village strategy necessitates significant research on its developmental trajectory and spatial patterns. This study constructed an indicator system to assess digital village construction levels and employed a comprehensive methodology,including the CRITIC-entropy weight combined TOPSIS model, Dagum Gini coefficient decomposition, Kernel density estimation, spatial Markov chains, σ-convergence tests, and spatial β-convergence analysis,to investigate the sources of regional disparities, dynamic evolution patterns, and convergence characteristics of digital village development across 30 Chinese provinces (excluding the Tibet Autonomous Region, Hong Kong, Macao and Taiwan) from 2018 to 2022. And revealed the spatial differentiation pattern and dynamic evolution mechanism of digital village development. The results showed that: China′s digital village construction levels demonstrated a year-on-year increasing trend, exhibiting an overall spatial pattern of "high in the east and central regions, low in the west and northeast regions". There were significant regional disparities in China′s digital village construction levels, showing an overall upward trend, with inter-regional differences being the primary source. Both at the national level and in the four major regions, digital village construction levels displayed the characteristics of "level improvement and expansion of absolute disparities". Accordingly, it is essential to adhere to digital-driven development and regional coordination as two core pillars, accelerate the advancement of digital village construction and cross-regional resource integration, and strive to enhance rural modernization levels and regional coordinated development capabilities.

Cultivating new quality productive forces of grain is an important measure to build a modern agricultural country and lay the foundation for food security. Based on the panel data of 31 provinces in China (excluding Hong Kong, Macao, and Taiwan) from 2013 to 2024, empirical methods such as entropy method, Dagum Gini coefficient, Kernel density estimation, ArcGIS, and obstacle model were used to systematically study the development level, regional differences, spatial and temporal evolution and obstacle factors of China′s new quality productive forces of grain. The results showed that: China′s new quality productive forces of grain had steadily improved, but the overall level of development was weak and the growth rate was slow; the development level of new quality productive forces of grain in the three major grain-producting functional areas was the main production area > the main sales area>the production and sales balance area, the development level of new quality productive forces of grain in the three major geographical locations was eastern > central > western; the new quality productive forces of grain in China showed a slow and progressive evolution trend in time sequence, and the spatial distribution showed a better evolution trend in the eastern region, while the evolution process in the central and western regions was relatively slow; the intensity of agricultural research funding, the proportion of rural residents receiving higher education, the per capita electricity consumption in rural areas, and the per capita grain output were the main obstacle factors that restrict the improvement of new quality productive forces of grain. Based on this, measures such as strengthening agricultural technology support, cultivating high-quality "new farmers", promoting good farmland and laws, and implementing differentiated development were proposed to provide theoretical guidance for promoting the coordinated development of new quality productive forces of grain in various regions.

Eggs play an important role in enriching the "vegetable basket" of people′s lives and meeting daily nutritional elements. It not only diversify dining table choices but also play a crucial role in supplying key nutrients. Based on 253 samples from Hebei Province, andused structural equation model (SEM) to test the rationality of the theoretical model of brand egg premium payment willingness and premium payment behavior, tested the stability of the model by gender grouping,inorder to verified the stability of the theoretical model in different gender groups. The results showed that: in the overall sample, the path coefficients of brand trust on premium payment willingness and premium payment willingness on premium payment behavior were significantly positive, indicating that brand trust could strengthen consumers′ premium payment willingness, and premium payment willingness had a positive effect on premium payment behavior. When the household income variable was introduced, the path coefficients of household income on brand trust and premium payment behavior were significantly positive, indicating that the willingness to pay a premium was the dominant factor affecting premium payment behavior. In the subgroup sample, the path coefficients of household income on brand trust and brand trust on the premium payment willingness were significantly positive for both male and female. The promoting effect of premium payment willingness on premium payment behavior was stronger in males than in females, and it was more difficult for females to convert their willingness into payment behavior. However, for the path of household income on premium payment behavior, the path coefficient for males was not significant, which was related to the roles played in the family by different genders and the sensitivity of different genders to market price change trends. Based on the above analysis, policy recommendations are proposed to establish emotional brand connections, strengthen consumers′ purchasing awareness; emphasize scenario-based consumption to convert willingness to pay into actual payment behavior; and adopt multiple measures to build brand loyalty, continuously reinforcing consumers′ premium payment behavior. These efforts aim to further promote the market-oriented development of branded eggs and contribute regional strength to the growth of China′s branded egg industry.

The value accounting of ecological products has great guiding significance for the establishment of ecological compensation mechanism, the realization of ecological product value, and regional sustainable development. Taking the specific geographical unit of the Pingle section of the Li River Basin as the research area, the opportunity cost method, land use transfer matrix, and value equivalent model were used to explore the cost of ecological product protection and development, as well as the ecosystem service value（ESV）, so as to reflect the value of its ecological products. The results showed that, from 2017 to 2022, the total value of the cost of ecological product protection and development for the Pingle section of the Li River Basin was approximately 1.048 billion yuan, with an average annual value of 175 million yuan for protection and development. Among them, the direct cost over the six years was 1.017 billion yuan, and the opportunity cost was 31 million yuan. During the study period of the Pingle section of the Li River Basin, the areas of forest land, orchard land, construction land, and water area increased, while the areas of other land types decreased. The main transfer type was the conversion of cultivated land into orchard land. The ESV of the Pingle section of the Li River Basin showed a trend of "decrease-increase-decrease". The total ESV increased from 8.021 billion yuan in 2017 to 8.500 billion yuan in 2022, and the average annual ESV was 8.356 billion yuan, presenting a spatial pattern of “high in the periphery and low in the middle”. The accounting results can reflect the value of ecological products in the Pingle section of the Li River Basin, providing a basis for balancing regional ecological protection and economic development, and realizing the value of ecological products.

Based on the panel data of 280 cities in China from 2000 to 2022, this article took the demonstration cities of "Broadband China" as quasi-natural experiments and used a multi-period difference-in-differences（DID） model to evaluate the impact and mechanisms of digital infrastructure construction on farmers′ income growth. The research found that, the construction of digital infrastructure significantly promoted farmers′ income growth, and this conclusion still held true after a series of robustness tests. Further analysis revealed that, the construction of digital infrastructure promoted farmers′ income growth by enhancing agricultural production efficiency, increasing non-agricultural employment for farmers, and optimizing the rural industrial structure. The income-increasing effect of digital infrastructure construction on farmers was more obvious in the eastern region and areas where farmers had a higher level of education. Based on these conclusions, suggestions were proposed to strengthen rural digital infrastructure, encourage farmers to seek employment and start businesses through multiple channels, and give full play to the role and effect of digital infrastructure in increasing farmers′ income.

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.

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.

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.

The enhancement of herders′ willingness to reduce livestock plays a crucial role in the effective implementation of grassland ecological protection policies. Based on planned behavior theory, this article used the micro-data of 412 herders in 5 pastoral banners and counties of Chifeng City, Inner Mongolia Autonomous Region, and employed a structural equation model to deeply analyze the influence of herders′ behavioral attitudes, subjective norms, and perceived behavioral control on their willingness to reduce livestock. The results showed that, herders′ behavioral attitudes, subjective norms, and perceived behavioral control all had a significant positive impact on herders′ willingness to reduce livestock. The impact of behavioral attitudes on herders′ willingness to reduce livestock was greater than perceived behavioral control and subjective norms. The impact of perceived behavioral control on herders′ willingness to reduce livestock was greater than subjective norms. There was an interactive relationship among behavioral attitudes, subjective norms, and perceived behavioral control. The results of multi-group analysis showed that, the grassland area did not have a moderating effect on the influence of different paths on herders′ willingness to reduce livestock, but its role varied among different groups. Accordingly, suggestions are put forward, including strengthening policy promotion to improve grassland protection awareness, optimizing subsidy policies to incentivize herders′ livestock reduction behavior, strengthening technical training to broaden their income channels, and improving the supervision system to build a solid ecological security barrier.

Industrial innovation is an important direction and inevitable choice for promoting the high-quality development of rural industries in the era of digital economy. Drawing on industrial economic theories, this paper constructed a mechanism model for the role of industrial innovation in the high-quality development of the tea industry, and defined this development from the perspective of the digital economy. Employing a multinomial logistic model and 336 samples of data from tea enterprises and tea farmers through stratified random sampling, a systematic theoretical and empirical analysis was systematically conducted from five innovation dimensions of market, technology, product, organization, and resource allocation. The results showed that, the brand innovation, variety innovation, processing innovation, institutional innovation, and production factor integration innovation all had positive impacts on the high-quality development of the tea industry, and were significant factors affecting the high-quality development of the tea industry. According to the influence coefficient values of the model, institutional innovation（3.662） exerted the greatest influence on the high-quality development of the tea industry by optimizing the industry-university-research collaboration mechanism. Production factor integration innovation（3.557）, which promoted the efficient allocation of land and capital, had the next most significant impact. Variety innovation（2.197） and brand innovation（1.549） emerged as major influencing factors by enhancing unit yield levels and product premium, respectively. The impact of processing innovation（1.068） was relatively weak. Based on this, it is recommended to strengthen institutional innovation, focus on brand building, and optimize factor allocation to accelerate the realization of the high-quality development of the tea industry.

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.

Rooted in the context of rural revitalization and common prosperity, agriculture essentially aims to "boost incomes" and "increase grain production", the former needs to solve the problem of income inequality, the latter relies on the fundamental strategy of "storing grain in the land" which implemented through the construction of high-standard farmland. Based on micro-survey data collected from 1 032 farm households across 10 provinces, autonomous regions, and municipalities（directly under the central government）in China, the study empirically analyzed the impact pathways and mechanisms of high-standard farmland construction on income inequality among farm households. The results indicated that: both the implementation of high-standard farmland construction and the expansion of its scale could effectively alleviate income inequality among farmers, and these findings remained significant in robustness tests with alternative dependent variables and these findings remain significant in robustness tests with alternative dependent variables,removal of extreme values ,and employment of alternative estimation models. The mechanism analysis revealed that the high-standard farmland construction significantly narrowed the income gap among farm households by improving the level of agricultural socialized services, while the expansion of high-standard farmland construction alleviated income inequality by accelerating land transfer. The heterogeneity analysis showed that, compared with the clan-elite co-governance type households, the high-standard farmland construction more effectively reduced income inequality among village-governance-dependent and administrative-governance-dependent households. Additionally, compared to part-time farmers, high-standard farmland construction had a more significant mitigating effect on income inequality among full-time farmers. Therefore, it is essential to promote the coordinated development of high-standard farmland construction and the rural common prosperity strategy, improve agricultural socialized services, and guide orderly land transfer to develop appropriately scaled-up agricultural operations. Simultaneously, attention should be paid to the heterogeneity across the dual dimensions of village governance types and household operation types in high-standard farmland construction, thereby ensuring its sustained and steady development and effectively alleviating income inequality among farm households.

Continuously promoting the development of the new quality rural productive forces is an important pathway to enhance grain supply chain resilience. Based on panel data from 31 provinces, autonomous regions, and municipalities （directly under the central government） in China （excluding Hong Kong, Macao, and Taiwan） from 2014 to 2023, this study quantified grain supply chain resilience using the longitudinal and horizontal scatter degree method, analyzed its spatiotemporal differentiation and regional disparities through Kernel density estimation, traditional and spatial Markov chains, and the Dagum Gini coefficient. Compared seven types of machine learning models, the optimal SVR model was selected and integrated with the SHAP interpreter to reveal the driving effects of the new quality rural productive forces on grain supply chain resilience. The results indicated that: China′s grain supply chain resilience increased year by year, consistently maintaining the pattern of main grain production areas > production-marketing balance areas > main grain consumption areas. The spatial distribution showed a trend of "expansion in the middle levels and reduction at both ends". Regional disparities narrowed annually, but multipolarization persisted. The contribution rate of inter-group differences fluctuated upward and became the main source of disparities in grain supply chain resilience. The output value of agriculture, forestry, animal husbandry, and fishery services, urbanization rate, and agricultural carbon emissions exhibited positive driving effects, while the situation of agricultural labor mobility showed a negative inhibitory effect, and the contribution rates of other driving factors were relatively low.Interactions among driving factors also significantly impacted grain supply chain resilience. Accordingly, regional differentiated precision enhancement strategies should be implemented, and a support system for grain supply chain resilience should be constructed to promote overall resilience through the advancement of the new quality rural productive forces.

Withdraw from homesteads, as a strategic decision related to social stability and rural revitalization, is of great significance for solving the waste of rural land resources, revitalizing and reusing idle homestead resources. Based on the survey data of 545 farmers in Yujiang District, Yingtan City, Jiangxi Province, according to the social ecosystem theory, this paper adopted regression analysis and fuzzy-set qualitative comparative analysis（fsQCA）, and constructed analysis framework from three dimensions of value perception, social capital, and government regulation, to explore the influencing factors of farmers′ willingness to withdraw from homesteads. The combination perspective was used to empirically explore the effect of interaction between value perception, social capital, and government regulation on farmers′ willingness to withdraw from homesteads. The research found that, value perception, social capital, and government regulation could all significantly increase farmers′ willingness to withdraw from homesteads, perceived economic value was a necessary condition for farmers to have a high willingness to withdraw from homesteads. There were four combination paths that led to farmers′ high willingness to withdraw from homesteads, which could be classified into three types, the joint driving type of social trust and constrained government regulation, the joint driving type of social participation and perception of social value, and the driving type of incentive government regulation. The results indicated that, there were multiple ways to enhance farmers′willingness to withdraw from homesteads under different combinations of antecedent conditions. Local governments had two characteristics of value rationality and instrumental rationality when carrying out the work of withdrawing homesteads. Accordingly, the following suggestions are proposed including enhancing farmers′ perception of economic value of withdrawing homesteads, and stimulating their intrinsic motivation to withdraw from homesteads, building a favorable policy environment for farmers to withdraw from homesteads by taking social trust and constrained government regulation as the starting point, paying attention to social participation and the enhancement of perceived social value to strengthen the social responsibility of farmers to withdraw from homesteads, establishing a diversified incentive mechanism for withdrawing homesteads to meet the diverse needs of farmers, building a multi-party collaborative governance system to strengthen the institutional framework for withdrawing homesteads.

To gain an in-depth understanding and enhance the adaptability and sustainable development of agriculture in China, this article employed the agricultural resilience index, Theil index, and the factor detection function of a geographical detector to analyze the evolutionary characteristics and driving factors of agricultural resilience in China. The study found that, the evolution of agricultural resilience in China generally showed a fluctuating upward trend, with significant regional differences and stage-specific characteristics. The proposal of supply-side structural reforms and the new economic normal provided institutional guarantees for the sustainable development of agriculture. The improvement of agricultural resilience in the central and western regions reflected the effectiveness of policy support and infrastructure enhancements, while the decline in agricultural resilience in the northeastern region highlighted the constraints posed by a singular industrial structure and ecological environmental issues on agricultural development. The decomposed interval contribution rate showed a declining trend, with the intra-regional contribution rate being the main reason for differences in agricultural resilience. The spatial distribution pattern of agricultural resilience was gradually shifting from positive clustering to negative clustering, unaffected by the direct influence and homogenization trend of neighboring areas. The agricultural resilience in China has basically formed a multi-layered, multi-dimensional pattern based on locational factors and ecological environment, with policy systems as the pathway, and production efficiency and technological innovation as key factors.

Rural households hold significant potential for tourism consumption. Promoting tourism consumption of rural households is an important driving force for expanding domestic demand and maintaining stable growth. This paper constructed a pooled cross-sectional dataset by using data from China family panel studies（CFPS） in 2014, 2016, 2018, 2020, and 2022, employed a two-way fixed effects model and mediating effect model to explore the direct impact of internet use on tourism consumption of rural households and the mediating effects of human capital and social capital. The result showed that, internet use had a significant positive impact on the increase of tourism consumption of rural households, human capital and social capital had mediating effects on the relationship between internet use and tourism consumption of rural households, with social capital having a greater mediating effect. The heterogeneity analysis indicated that, internet use had a stronger promoting effect on tourism consumption of rural households in eastern regions, those with non-agricultural employment and higher income levels. Therefore, efforts should be made to actively promote the construction of digital villages to increase the internet penetration rate in rural areas, establishing a digital literacy cultivation system and improve the mechanism for accumulating social capital, accurately identifing different levels of consumer groups to implement differentiated tourism product supply.

Digital rural construction is an important strategic direction for rural revitalization. While digital technology empowers rural development, it also significantly promotes the upgrading of industrial structures at the county-level. Based on panel data of county-level administrative regions in Jiangxi Province from 2011 to 2022, this article constructed an evaluation index system for digital rural construction and county-level industrial structures. It conducted an empirical analysis of the impact of digital rural construction development levels on county-level industrial structures and established panel fixed-effects models and mediation effect models to examine the impact effects and action mechanisms of digital rural technologies on county-level industrial structures. The results indicated that, digital rural construction had a significant optimizing effect on county-level industrial structures, and this effect was more pronounced in economically underdeveloped counties. In the process of digital rural construction driving the optimization of county-level industrial structures, the improvement of rural consumption levels and life satisfaction played a positive mediating role. Based on these findings, it is recommended to accelerate the deep integration of digital rural areas with county-level industries, optimize the allocation structure of digital economy resource elements, implement diversified strategies to leverage new advantages of digital technology, drive the transformation of traditional rural industries, and carry out digital rural development work in a manner tailored to local conditions, with the aim of enhancing the quality of digital rural construction.

Digital transformation is an important path for agricultural enterprises to improve the quality of development, and its also an inevitable choice for advancing agricultural modernization. Based on the data of A-share listed companies from 2007 to 2024, this paper employed the ordinary least squares method and panel fixed-effect model to analyze the impact of digital transformation on the high-quality development of agricultural enterprises, and tested the mechanism of action through the mediating effect model. The results showed that: digital transformation had a significant positive impact on the high-quality development of agricultural enterprises, and R&D investment played a mediating role, that meant digital transformation could drive the high-quality development of agricultural enterprises by increasing R&D investment. Heterogeneity analysis showed that the digital transformation exhibited more significant positive enabling effect for agricultural enterprises with diversified operations, high financing constraints and those located in the eastern region. Accordingly, agricultural enterprises need to increase resource investment to unlock the value of digital technology, financial institutions need to provide diversified financial services to alleviate the financing difficulties of enterprises, government needs to develop digital technology according depend on local conditions to maximize its benefits, in order to provide a reference for agricultural enterprises to enhance their core competitiveness and build a modern agricultural operation system.

Agricultural supply-side structural reform is a key measure and inevitable path for promoting the sustainable and healthy development of agriculture in the new era. Based on the panel data of 30 provinces, autonomous regions, and municipalities（directly under the central government）in China（excluding Tibet Autonomous Region, Hong Kong, Macao, and Taiwan regions）from 2010 to 2023, this study adopted the improved CRITIC-entropy weight method, Dagum Gini coefficient decomposition method, and obstacle degree model to quantitatively evaluate the effect of agricultural supply-side structural reform, analyzed the spatial differences and their sources, and identified the main obstacle factors. The results showed that: from 2010 to 2023, the overall effect of China′s agricultural supply-side structural reform presented a fluctuating upward trend, showing a regional growth pattern of "the central and western regions leading the growth while the eastern region lagging behind". The spatial distribution of the reform level was continuously optimized, with the number of provinces at a low level substantially reduced, provinces at a medium level slightly increased, and provinces at a high level remarkably increased; . The overall spatial difference in the reform effect showed a continuous narrowing trend, with the difference mainly derived from super variable density, followed by intra-regional differences, and finally inter-regional differences. The intra-regional differences in the eastern and western regions decreased, while the intra-regional differences in the central region showed an expanding trend, the inter-regional differences between the eastern and western regions decreased significantly, while the inter-regional differences between the eastern and central regions increased. The reform effect faced common constraints across regions, and the coverage depth of agricultural insurance, per capita output of commercial crops, and agricultural credit level were the three core obstacle factors affecting the improvement of the reform effect. Accordingly, it is suggested to continue deepening the agricultural supply side structural reform, strengthen agricultural insurance and credit services, optimize the agricultural production layout, and coordinate the safeguarding of food security and enhance the value of characteristic industries.

Faced with the new round of technological revolution and industrial transformation, developing the new quality rural productive forces is of great significance for realizing comprehensive rural revitalization and building a strong agricultural country. This paper used the entropy weight method, Dagum Gini coefficient and Kernel density estimation method to measure and examine the development level, regional disparity and evolution trend of the new quality rural productive forces in 31 provinces, autonomous regions, and municipalities（directly under the central government）in China（excluding Hong Kong, Macao and Taiwan regions）from 2012 to 2023. The results showed that: during the research period, the overall development level of the new quality rural productive forces in China presented a trend of rising first and then declining, but the overall level remained relatively low, and showed a pattern of Eastern China>Western China>Central China>Northeast China. There were obvious regional disparities in the development level of the new quality rural productive forces, which mainly came from inter-regional disparity, and the inter-regional disparity between Eastern China and Northeast China was the most significant. The results of Kernel density estimation indicated that the kernel density curve of China′s new quality rural productive forces development level showed a uni-modal shape, the peak value presented a trend of first decreasing and then increasing, and the polarization phenomenon had intensified. The kernel density curves of Eastern, Central and Western China showed a trend of weakening divergence, while the kernel density curve of Northeast China showed the characteristics of unstable polarization. Based on this, the paper put forward suggestions such as implementing regional coordinated development strategies and formulating differentiated regional agricultural development plans. Cultivating high-quality agricultural labor force and building a high-quality team of agricultural workers. Promoting agricultural scientific and technological innovation and accelerating the deployment of digital agricultural infrastructure.

With the rapid development of the digital economy, its application in the agricultural field is becoming increasingly widespread, becoming an important driving force for promoting agricultural modernization and industrial restructuring. Based on panel data from 31 provinces, municipalities, and autonomous regions in China（excluding Hong Kong, Macao, and Taiwan） from 2013 to 2022, the article studied the impact and mechanism of the digital economy on the adjustment of agricultural industry structure. Using fixed effects model, threshold effect model, and spatial spillover effect model to examine the impact of digital economy on the optimization of agricultural industrial structure. The results indicated that, the digital economy could significantly promote the adjustment of agricultural industry structure. The impact of the digital economy on the optimization of agricultural industrial structure had a dual-threshold effect, when the development level of the digital economy crossed the first-threshold value, its empowering effect significantly increased. However, as the digital economy further developed, the marginal effect gradually weakened when it reached the second-threshold. The digital economy had significant positive spatial spillover effects on optimizing the agricultural industry structure. To verify the robustness of the research results, measurements and tests were conducted by excluding samples from municipalities directly under the central government, replacing core explanatory variables, and replacing the dependent variable. The results remained significant. Furthermore, the conclusions still ture after addressing endogeneity issues using the instrumental variables method. Therefore, it is recommended to accelerate the popularization of the digital economy, focus on synergistic effects, optimize regional layout, and strengthen policy support to fully leverage the positive role of the digital economy in the adjustment and optimization of agricultural industrial structure, and promote the coordinated development of agricultural modernization and regional economy.

Against the background of advancing rural comprehensive revitalization and the popularization of short video media, short videos centered on the production of rural public cultural space not only affect the inheritance and development of rural culture, but also provide a new window for the outside world to understand rural development. Based on 475 short videos of rural public cultural space released from 2021 to 2025, this paper systematically discussed the production and reproduction characteristics, content dimensions and value connotations of short videos of rural public cultural space by using content analysis and coding statistics, combined with the theory of spatial production. The study found that: the production of short videos of rural public cultural space was characterized by professional creators, shortened duration, diversified pictures and accurate topic tags. Its reproduction constituted a complete communication chain of "creation and release by producers-platform recommendation-users view and feedback-content optimization and iteration", which was also an extension, upgrading and value reconstruction of earlier content production. Covered three content dimensions of material, spiritual and social, it had the core values of bridging the urban-rural spatial gap, expanding rural economic value, revitalizing traditional rural culture, and empowering sustainable development of rural ecology. This research makes up for the shortcomings of existing studies that emphasize production but neglect value transformation, enriches the application of spatial theory and media communication theory in rural scenarios, and provides theoretical references and practical paths for promoting the quality improvement and upgrading of rural public cultural space and boosting rural cultural revitalization.

Digital economy is one of the core engines driving the high-quality development of China's economy, and its impact on women's flexible employment in the labor market has become increasingly prominent. Based on six waves of data from China Family Panel Studies (CFPS) spanning 2012 to 2022 and macroeconomic data of 12 provinces, autonomous regions and municipalities(directly under the central government) in Western China, this paper adopted the Logit model and fixed effect model to explore the impact of digital economy on women's flexible employment in Western China and its mechanism of action. The results showed that: digital economy had a significant dual promotion effect on women's flexible employment in Western China, as it could boost their choice of flexible employment and improve the quality of their flexible employment, and this conclusion held true after multiple robustness tests; labor skill level and individual reputation had a positive moderating effect on the employment quality improvement, with the promotion effect being more prominent for highly skilled and high-reputation women; there were significant group heterogeneities in the impact of digital economy on the quality of women's flexible employment, digital economy had a more obvious effect on improving the quality of flexible employment for low-income women, rural women and women aged 45 and above, and also exerted a significant promotion effect on high-income women although with a relatively weaker magnitude, while its promotion effect on urban women had not yet formed a stable mechanism, and its marginal effect on young women was weak. Accordingly, this paper proposes to fully unleash the promotion potential of digital economy for women's flexible employment by improving the construction of digital infrastructure, strengthening digital skill training, building a social reputation incentive mechanism, and implementing targeted support policies for vulnerable women groups such as low-income , rural residents and middle-aged and elderly women.

Promoting the green development of family farms is a core driver for agricultural modernization, ecological-economic coordination, comprehensive rural revitalization and building a strong agricultural country. Based on micro-survey data of 539 grain-growing family farms in Sichuan Province, this study systematically explored the impact of digital literacy on the adoption of green production technologies and the underlying mechanisms by using Oprobit model, mediating effect model, and moderating effect model. The results showed that: digital literacy had a significant positive impact on the adoption of green production technologies by grain-growing family farms, and this effect exhibited technological heterogeneity with a more prominent promoting role in pesticide and chemical fertilizer reduction, and organic fertilizer and farm manure application. The impact was mediated through three mediating channels: enhancing green value perception, improving agricultural product premium returns, and promoting the use of digital technologies, and social networks played a positive moderating role in the above relationship, and there existed a mediated moderation effect. Heterogeneity analysis indicated that the promoting effect of digital literacy was more significant among family farms with higher-educated and large planting scales. Accordingly, it wis suggested to establish a hierarchical and classified digital literacy training system to implement differentiated training for farm operators of different scales and educational backgrounds, complement it with financial support and green premium acquisition mechanisms to precisely empower the green transformation of grain-growing family farms.

Against the background of cultural and tourism integration development, optimizing the spatial layout of leisure agriculture is of great significance for promoting industrial synergy and stimulating rural vitality. This study selected Nanjing City as a typical case, taking 1 019 demonstration sites across the city as research objects. Based on the geographic information software analysis platform, the spatial distribution characteristics and core influencing factors of leisure agriculture in Nanjing City were analyzed by comprehensively applying the nearest neighbor index, point density analysis, and the geographical detector method. The results indicated that: the demonstration sites of leisure agriculture activities in Nanjing City exhibited an agglomerated distribution pattern with multi-center point density clusters. Jiangning District functioned as the primary core area, where notable agglomeration could be observed in its subdistricts Hengxi, Tangshan, and Hushu which forme key clustering nodes. Meanwhile, secondary clusters formed in Yaxi Subdistrict of Gaochun District, Honglan Subdistrict of Lishui District, and Pancheng Subdistrict and Yongning Subdistrict of Pukou District. The main urban area showed fewer leisure agriculture activity points and did not exhibit a spatially agglomerated pattern. The analysis of influencing factors indicated that, the spatial pattern of leisure agriculture in Nanjing City was primarily shaped by the level of tourism development as the core influencing factor, supplemented by socioeconomic development level and transportation conditions as significant factors, and agricultural modernization level as a foundational factor, all of which exerted synergistic effects on the overall spatial configuration. Therefore, efforts should be made to strengthen regional advantages, give play to the leading role of core areas such as Jiangning District and promote cross-regional cooperation; deeply explore local tourism resources, to innovate experiential models of leisure agriculture through the integration of culture and agriculture; optimize infrastructure construction including transportation networks to improve the accessibility of leisure agriculture; consolidate the foundation of modern agriculture, extend the value chain, enhance the benefits of integrating culture, tourism, and agriculture, and foster regional collaborative development.