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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Against the backdrop of Chinese-style modernization, building a livable, business-friendly and harmonious village in addressing unbalanced regional development in Xinjiang plays a critical role in achieving common prosperity and long-term stability. Based on panel data of 14 prefectures and cities in Xinjiang from 2013 to 2023, this paper divided the research area into Beijiang (Northern Xinjiang) and Nanjiang (Southern Xinjiang). By constructing an evaluation index system for the construction level of a livable, business-friendly and harmonious village, this paper employed the entropy-weight TOPSIS method to measure the rural construction level of each prefecture and city, and used the Dagum Gini coefficient, kernel density estimation, and Markov chain to systematically analyze its regional differences and spatiotemporal evolution characteristics. The results showed that: from the perspective of overall changes, the construction level of a harmonious village in Xinjiang presented a fluctuating upward trend during the study period. The construction level in Beijiang was consistently higher than that in Nanjiang, but Nanjiang enjoyed a faster growth rate, leading to a gradual narrowing of the regional development gap. In terms of sources of differences, the overall Gini coefficient was relatively low and slightly increased, and regional development remained generally balanced. The Gini coefficient of Beijiang was higher than that of Nanjiang, and the development gap between Beijiang and Nanjiang showed a pattern of "first narrowing and then expanding". The significant differences mainly stemmed from intra-regional disparities within Beijiang and Nanjiang, followed by inter-regional differences, while hypervariable density exerted the least influence. From the perspective of evolutionary characteristics, the kernel density distribution was multi-peaked. The construction level of a livable, business-friendly and harmonious village in Xinjiang was highly stable, which had been mainly improved step by step and faced significant difficulty in achieving cross-level leaps. In terms of spatial evolution, the evolution trend in Beijiang was more favorable than that in Nanjiang. Accordingly, implementing targeted regional policies and promoting differentiated coordinated development, fostering characteristic industrial clusters in Beijiang and Nanjiang, promoting the two-way flow of urban-rural factors and balancing the allocation of public resources, and establishing a guarantee system for talent introduction and training can effectively boost high-quality rural development in Xinjiang. It is of great practical significance to solve the problem of unbalanced regional development and consolidate the foundation for long-term stability.

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.

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.

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.

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.

The current status of ecological resilience and high-quality economic development, as well as their coordination adaptation level, are of great significance for advancing high-quality regional development and achieving the coordinated development of ecological and economic systems. Based on the panel data of 30 provinces, autonomous regions and municipalities (directly under the central government) in China (excluding Xizang Autonomous Region, Hong Kong, Macao and Taiwan regions) from 2010 to 2023, this paper constructed the evaluation index systems for ecological resilience and high-quality economic development, adopted the entropy weight method to analyze the temporal evolution characteristics of the two systems, and further explored the spatiotemporal patterns of their adaptation level by using the comprehensive adaptation model, kernel density estimation and Dagum Gini coefficient method. The results showed that: from 2010 to 2023, both the comprehensive score and sub-dimensional scores of China's ecological resilience presented an upward trend, and the same trend was observed for the comprehensive score and sub-dimensional scores of high-quality economic development, with economic development potential becoming the short slab restricting high-quality economic development; the adaptation level of ecological resilience and high-quality economic development rose steadily with significant spatial differentiation characteristics. In terms of dynamic evolution, the overall adaptation level between China's ecological resilience and high-quality economic development was improved; in terms of regional differences, the overall regional gap was narrowed, and the regional balance degree continued to rise. The intra-regional development showed that the eastern region > western region > central region > northeastern region, and inter-regional disparity remained the primary source of the overall regional disparity, with the gap between the eastern region and other regions being the key factor leading to inter-regional disparity, and its contribution rate of transvariation density was the lowest and showed a downward trend on the whole. Accordingly, this paper put forward policy recommendations including strengthening the construction of an ecological civilization, unlocking the potential for economic development and implementing regionally differentiated development strategies, so as to promote the coordinated development of ecology and economy.

With the advancement of urbanization and the transformation of residents' living concepts, the elderly's demand for high-quality, multi-level and healthy elderly care has become increasingly prominent, and the elderly care issue in rural areas has become a key topic of social concern. Based on 405 sets of field survey data collected in rural areas of Southern Xinjiang from January to March in 2024, this study adopted an ordered Probit model to systematically analyze the impact of intergenerational co-residence on the life satisfaction of rural elderly in Southern Xinjiang, and conducted heterogeneity tests by age and gender. Meanwhile, the mediating effect model and moderating effect model were used to examine the mediating role of grandchild care and the moderating role of social activity types, respectively. The results showed that: intergenerational co-residence could significantly improve the life satisfaction of rural elderly in Southern Xinjiang. Heterogeneity analysis indicated that the positive impact was more significant for the advanced-age (aged 70 and above) and the female elderly. The mediating effect test confirmed that grandchild care played a partial mediating role between intergenerational co-residence and the elderly's life satisfaction. The moderating effect test found that social activity types had a moderating effect, with the increase in the types of social activities which the elderly participate in, the positive effect of intergenerational co-residence on elderly's life satisfaction gradually weakened, and the weakened part could be compensated by social activities. Accordingly, targeted suggestions are put forward, including encouraging intergenerational co-residence, improving relevant social security systems, raising the level of social security, reducing the burden of grandchild care, and enriching social activities for the elderly, so as to provide references for improving the quality of life of rural elderly in Southern Xinjiang, and optimizing the rural elderly care service system.

To explore the internal impact mechanism of the digital economy on carbon emissions from the planting industry is conducive to promoting the low-carbon transition of the planting industry. Based on the panel data of 30 provinces, autonomous regions and municipalities(directly under the central government) in China (excluding Xizang Autonomous Region, Hong Kong, Macao and Taiwan regions) from 2011 to 2023, this paper analyzed the role of the digital economy in the whole process of social reproduction from the planting industry, and used the fixed-effect regression model, mediation effect model, and threshold effect model to empirically examine the internal relationship between the digital economy and carbon emissions. The results showed that: the digital economy significantly inhibited carbon emissions from the planting industry, with distinct regional heterogeneity and carbon source heterogeneity, the inhibition effect was favorable in the central region, western region, major grain-producing areas and hilly areas, and the emission reduction effect performed well in terms of chemical fertilizers, pesticides, agricultural plastic films and tillage; the mediation effect results indicated that the digital economy achieved carbon emission reduction mainly by promoting large-scale operation and the development of agriculture-related finance, and this inhibition effect was affected by the local development level of the digital economy; the threshold effect results indicated that the impact of the digital economic development on carbon emissions from the planting industry exhibited nonlinear characteristics. In the early stage of digital economic development, it inhibited carbon emissions from the planting industry. However, as development progressed to the intermediate stage, further advancement of the digital economy led to an increase in carbon emissions from the planting industry. When the digital economy entered a higher advanced stage, the emission reduction effect on the carbon emissions from planting industry re-emerged. Therefore, policies should be formulated in the following four aspects, such as increasing investment in digital infrastructure in rural areas, strictly controlling carbon emissions, promoting large-scale planting, and enhancing regional coordination and cooperation.

Against the background of the national policy of promoting the development of green low-carbon industries, protected agriculture is confronted with an urgent demand for green transformation. Based on the institutional logic theory, this paper sorted out the relevant theoretical connotations and characteristics of "green low-carbon protected agriculture" and "standard system", and constructed an analytical framework of "multiple institutional logics-standard system construction". This framework identified four logics, namely state, market, profession and ecology, as well as their interaction mechanisms in the process of standard system construction. The research found that: the current standards for green low-carbon protected agriculture had such problems as an unbalanced standard system structure, obvious technical orientation, insufficient adaptation of standards for key elements, and low matching degree with international standards. In response to these problems, this paper adopted an improved perspective analysis method, combined the demands of different stakeholders, analyzed the standardization needs of green low-carbon protected agriculture, and constructed a three-level standard system framework. Specifically, the guiding standard level connected policies and laws, the general standard level standardized technical foundations, and the application standard level covered the whole cycle of pre-production, in-production and post-production. This framework effectively coordinated the demands of multiple institutional logics, provided a systematic standardized path for the development of green low-carbon protected agriculture, and facilitated the green restructuring and high-quality development of the agricultural industry system.

Accelerating the construction of a strong agricultural country is a major strategic deployment proposed at the 20th National People's Congress of the Communist Party of China. Drawing on the development experience of world agricultural powers is of great significance for improving China's agricultural policy system and promoting high-quality agricultural development. Agriculture in China and Germany shares commonalities in aspects such as resource endowments, operating entities, and an aging labor force, while there are significant differences in agricultural modernization levels, land systems, and other areas. These constitute the foundation and premise for China to learn from Germany's experience. Through a systematic analysis of the characteristics, policy system, and transmission mechanism of German agricultural development, this paper found that as a typical agricultural power, Germany had formed an agricultural development model featuring the balanced development of crop farming and animal husbandry, family farms as the core operating entities, and the coordinated upgrading of the entire industrial chain, relying on its unique resource endowments and development foundation. Moreover, under the framework of the EU Common Agricultural Policy (CAP), Germany had established a sound policy system of "direct payments and market support + rural development policies + the Agriculture 4.0 Strategy", presenting the core characteristics of precise subsidies, coordinated development,green orientation, and standardized guarantees. Based on this, the paper put forward suggestions, including basing on China's national conditions, constructing a hierarchical policy system, optimizing the precise subsidy mechanism, strengthening agricultural science and technology support, and improving green agricultural policies. It summarized actionable experience and enlightenment for China's construction of a strong agricultural country, providing theoretical reference and practical support for solving the difficulties in China's agricultural development and accelerating the building of a strong agricultural country.

Exploring the impact and mechanisms of the integrated development of the digital economy and the real economy on the high-quality and full employment of rural labor force is of great significance for broadening farmers′ income channels and promoting the integrated development of urban and rural areas. Using five waves of China Family Panel Studies （CFPS） data from 2014 to 2022, the study calculated the digital-real integration development level index and employment quality index through the entropy weight method. By employing the fixed-effects model, Probit model, and mechanism testing model, the research investigated the effects and mechanisms of digital-real integration on the high-quality and full employment of rural labor force. The findings indicated that: digital-real integration not only promoted non-agricultural employment of surplus rural labor but also enhanced the employment quality of agricultural migrants. These conclusions remained valid after a series of endogeneity treatments and robustness tests. In terms of mechanisms, The integration of digital and real economies could facilitate the inter-industry mobility of rural labor, expanded non-agricultural employment channels, and improved employment quality. Sector-specific analysis revealed that digital agriculture releaseed surplus rural labor, digital manufacturing droven labor from the primary industry to the secondary industry, and digital services further absorbed labor into the tertiary industry. Additionally, digital manufacturing and digital services enhanced the employment quality of agricultural migrants in the secondary and tertiary industries. Moreover, digital-real integration improved labor occupational matching, increased the proportion of highly skilled labor, continuously optimized employment skill structures, and achieved high-quality and full employment of rural labor. Regarding heterogeneous effects, the employment enhancement effect of digital-real integration varied significantly by operational task types, skill levels, and age groups. Specifically, digital-real integration exhibited strong employment empowerment effects for rural workers engaged in unconventional operational tasks and highly skilled labor, while demonstrated more pronounced employment substitution effects for rural workers aged 50 and above. Based on these findings, the study proposes recommendations such as promoting deep integration of the digital economy and real economy, optimizing industrial employment structures, facilitating labor mobility channels, refining employment skill structures, and enhancing rural workers′ digital employment capabilities to support balanced urban-rural employment development and empower comprehensive rural revitalization and high-quality economic growth.

Accurately measuring the total factor productivity (TFP) of grain production in the "Tianfu Granary" and revealing its growth sources and influencing factors are of great significance for Sichuan Province to build a high-level "Tianfu Granary", strengthen regional stable grain supply capacity, and consolidate the foundation of national food security. Based on panel data of 21 cities (prefectures) in Sichuan Province from 1998 to 2023, this study adopted the DEA-Malmquist index method to calculate and decompose grain TFP, and constructed an econometric model to identify the possible mechanisms affecting grain TFP. The results showed that: from 1998 to 2023, the grain TFP of the "Tianfu Granary" showed an overall growth trend; technological progress constituted the primary driving factor of grain TFP growth, and the improvement of technical efficiency lagged behind the pace of technological progress; the growth of grain TFP, technological progress and technical efficiency change in the "Tianfu Granary" exhibited significant regional heterogeneity; the implementation of the "Tianfu Granary" strategy had substantially increased grain TFP; grain yield per unit area, grain sown area per labor, grain research investment per unit area and effective grain irrigation rate had positive impacts on grain TFP, while total mechanical power per labor and the degree of grain production structure adjustment had negative impacts, and regional economic development level had no significant impact on grain TFP. Therefore, it′s suggested improving the multi-level collaborative governance mechanism, establishing a "dual-wheel drive" pattern of technological progress and technological efficiency, refining the agricultural science and technology innovation mechanism, and promoting moderately large-scale planting, to promote the optimization and enhancement of grain TFP in the "Tianfu Granary".

Green development is not only the key to the transformation of agricultural modernization, but also an inherent requirement for empowering agricultural modernization. Based on the field survey data of 5 administrative villages (Village X, Village Y, Village Z, Village M, and Village N) in Guizhou Province in 2024, this paper adopted the SBM-BCC model to measure agricultural green total factor productivity. Using the Tobit model and the mediation effect model, this paper empirically analyzed the relationships among rural labor transfer, digitalization and intellectualization of farm machinery, and agricultural green total factor productivity. The results showed that: rural labor transfer had a significant negative impact on agricultural green total factor productivity, while the digitalization and intellectualization of farm machinery significantly promoted the improvement of agricultural green total factor productivity. The mediation effect test indicated that both rural labor transfer and the digitalization and intellectualization of farm machinery could exert indirect effects on agricultural green total factor productivity through mediating transmission paths, showing characteristics of partial mediation effects. The heterogeneity test results revealed that the influence coefficients of the digitalization and intellectualization of farm machinery in Village Y and rural labor transfer in Village N passed the significance test, while the other three villages failed to pass the significance test. Accordingly, this paper proposes countermeasures including cultivating leading industries to stimulate the vitality of returning talents, improving the technology promotion system to foster new professional farmers, and optimizing the agricultural production structure to promote appropriate scale management, so as to boost rural revitalization and the high-quality green development of agriculture.

Productive socialized services for animal husbandry serve as a key driver for advancing the development of modern animal husbandry and facilitating sustained income growth for herders. Their income-boosting effectiveness is directly linked to the achievement of high-quality development and the goal of common prosperity in pastoral grassland regions. Based on 371 sets of field survey data collected from herders in New Barag Left Banner and Old Barag Banner of Hulun Buir City, Inner Mongolia in 2024, this paper empirically analyzed the impact of purchasing behavior of productive socialized services for animal husbandry on herder household income through multiple linear regression and propensity score matching, and further explored the mechanisms through this purchasing behavior affected herder household income, using a mediating effect model. The results showed that: purchasing behavior of productive socialized services for animal husbandry could significantly increase herders′ total household income and income from animal husbandry, which were 40.9% and 58.6% higher than the herders who did not purchase such services, respectively, while the impact on non-animal husbandry income was not significant; household size, grassland operation scale, the number of production machines, and distance to the banner government all exerted significant impacts on herders′ total household income; the propensity score matching results indicated that household size and distance to the banner government positively promoted herders′ decision to purchase productive socialized services for animal husbandry, and these results passed the common support test and balancing test; from the perspective of mediating effects, purchasing behavior of productive socialized services for animal husbandry could increase herder household income by expanding livestock breeding scale. Based on the above findings, this paper puts forward policy recommendations, including cultivating diversified service entities, building a multi-level service system, enriching service content and forms to meet the differentiated needs of herders, and strengthening publicity and education to transform herders′ traditional production concepts.

Agricultural insurance is an important tool to mitigate agricultural production risks and stabilize farmers′ income. Relying on its socialized service functions, farmers′ professional cooperatives provide a new pathway to boost farmers′ willingness to purchase agricultural insurance and raise its coverage rate. Based on the comprehensive survey data of China′s rural revitalization conducted by Rural Development Institute of Chinese Academy of Social Sciences, this paper adopted the propensity score matching method to empirically analyze the impact of farmers′ participation in farmers′ professional cooperatives on agricultural insurance purchase behavior, and constructed a moderating effect model to explore the moderating effect of social capital in this influence mechanism. The results show that: participation in farmers′ professional cooperatives could significantly improve farmers′ agricultural insurance purchase behavior, and the conclusions passed robustness tests. Heterogeneity analysis indicated that farmers′ participation in farmers′ professional cooperatives had a promotional effect that more pronounced among low-income farmers with annual household income below 73 162 yuan and small-scale farmers with cultivated land operation area less than 0.444 hm². Moderating effect verification confirmed that social capital exerted a significant positive moderating effect on the relationship between farmers′ participation in farmers′ professional cooperatives and agricultural insurance purchase behavior. Accordingly, this paper puts forward suggestions including fostering new-type agricultural business entities represented by farmers′ professional cooperatives, building regular interactive communication platforms, improving the comprehensive service system of agricultural insurance, and promoting agricultural insurance popularization empowered by social capital. The research aims to further improve farmers′ initiative in agricultural insurance participation, optimize the agricultural risk prevention and control system, and boost the high-quality development of the agricultural industry.

Narrowing the urban-rural income gap is of great significance for steadily advancing common prosperity in China. Based on provincial panel data of 30 provinces, autonomous regions and municipalities(directly under the central government)in China (excluding Xizang Autonomous Region, Hong Kong, Macao and Taiwan regions) from 2012 to 2023, this paper empirically examined the impact and mechanism of digital economy on the urban-rural income gap by using econometric methods such as the panel model and the mediating effect model. The results showed that: the development of digital economy could significantly narrow the urban-rural income gap, and this conclusion was still valid after robustness tests; digital economy reduced the income gap by enhancing the resilience of the agricultural economy, while rural labor migration weakened this positive effect. Heterogeneity analysis revealed that the convergence effect of digital economy was more significant in non-major grain-producing areas and regions with low urbanization levels. Accordingly, it should accelerate the layout of digital infrastructure, strengthen the agricultural economic resilience, optimize the structure of rural human capital, and implement differentiated regional development strategies, in order to narrow the urban-rural income gap, promote coordinated urban-rural economic development, and help achieve the goal of common prosperity.

As a core driver of agricultural and rural modernization, digital rural construction is profoundly reshaping cultivated land use patterns and their eco-efficiency. Based on panel data of major grain-producing regions in the middle reaches of the Yangtze River (covering 31 prefecture-level cities in Hubei, Hunan and Jiangxi) from 2009 to 2023, this paper empirically examined the impacts and underlying mechanisms of digital rural construction on cultivated land use eco-efficiency via two-way fixed-effects model, threshold model, mediation effect model and spatial Durbin model. Heterogeneity analysis was further conducted to explore differentiated impacts of digital rural construction on cultivated land use eco-efficiency. The empirical results showed that: digital rural construction exerted a significantly positive promoting effect on cultivated land use eco-efficiency with a double-threshold nonlinear characteristic, which survived multiple robustness tests. Mediation and spatial spillover analyses revealed that digital rural construction indirectly improved cultivated land use eco-efficiency by boosting digital finance penetration, advancing farmers′ digital literacy, and accelerating agricultural industrial upgrading. In addition, digital rural construction could collaboratively improve the cultivated land use eco-efficiency of neighboring regions through spatial spillover effects. Heterogeneity analysis results confirmed significantly positive effects in both plain and non-plain regions, with stronger marginal gains observed in plain areas. Specifically, digital rural construction had significant positive effects on factor inputs and desirable agricultural outputs, and significant negative effects on undesirable outputs, and its marginal promoting impact intensified sequentially at higher quantiles of cultivated land use eco-efficiency. Accordingly, this papers puts forward targeted policy recommendations: promoting differentiated digital rural construction across subregions, crossing critical development thresholds, smoothing intermediate transmission channels to strengthen digital empowerment, establishing interregional coordination systems to amplify spatial spillover gains, and optimizing factor allocation for low-carbon and green cultivated land use. These measures aims to advance the coordinated green transformation and modernization of agriculture in major grain-producing regions in the middle reaches of the Yangtze River.

As intelligent technology has emerged as a critical driver transforming agricultural production modes, exploring its impacts on grain production bears practical significance for improving comprehensive grain production capacity. Using the 2022 China Rural Revitalization Survey (CRRS) data across ten provinces, autonomous regions in China, this paper selected grain-growing farm households as research samples to empirically examine the effect of intelligent technology adoption on grain output and further identify the moderating role of agricultural productive loans. The empirical results revealed that: the adoption of intelligent technology significantly improved grain production performance. Both accessibility and scale of agricultural productive loans significantly strengthen the productivity-enhancing effect of intelligent technology on grain production. Heterogeneity analysis demonstrated that the intelligent technology generated a more pronounced yield-promoting effect among large-scale farmers, farmers with high digital literacy and those residing in hilly areas; meanwhile, it also exerted statistically significant yet relatively weaker positive effects on farmers with low digital literacy as well as households in plain and mountainous regions. Accordingly, this study proposes policy implications, improving agricultural infrastructure to underpin the yield gains from intelligent technology, optimizing the agricultural productive finance support system to ease financing constraints hindering technology adoption, implementing differentiated promotion strategies to align intelligent technology deployment with farm scale, human capital endowments and regional agro-geographic conditions, thereby accelerating the conversion of intelligent technological advances into tangible grain productivity gains.