Search Results (33)

Facing the widespread cooperation among different agribusiness entities in China, this study explores the impact mechanism of land scale on farmers’ cooperation with new agricultural business entities (abbreviated as NABEs), including family farms, cooperatives, and agribusinesses. The effects of income within the cooperation mechanism are further analyzed. Based on survey data from 1558 farmers in 10 provinces, applying binary Logit regression and mediation effect models, the study finds the following: (1) The current land area, past growth of land, and future willingness to expand land all positively affect farmers’ cooperation with new agricultural business entities; (2) An inverted U-shaped relationship exists between land size and the proportion of farmers joining new agricultural business entities. The probabilities of joining family farms, cooperatives, and agribusinesses peak at land sizes of 2.65, 6.82, and 7.04 acres, respectively; (3) The current income situation has an intermediary effect on the cooperation between farmers and family farms, while the future income expectation has an intermediary effect on the cooperation between farmers and cooperatives and agribusinesses; (4) The effect of land scale on cooperation is more significant for farmers of village officials or agricultural organization members, full-time farmers, and those with green production and modern sales. This study proposes a development growth curve of farmers, which can be divided into “self-development–cooperation–transformation” stages, and gives solutions for each stage, to facilitate moderate-scale operations and long-term cooperation among various entities in the context of market reforms and social division of labor. Full article

Amid the urgent need to align agricultural practices with the United Nations Sustainable Development Goals (SDGs), this study examines the role of agricultural digitalization in promoting sustainable and green development in China. Specifically, it explores demand-side factors that drive improvements in agricultural green development and categorizes development models into three types: market-oriented, policy-driven, and innovation-driven. Utilizing provincial-level data from 2011 to 2021, this study employs semiparametric and spatial Durbin models to empirically assess the effects, underlying mechanisms, and regional disparities of agricultural digitalization in advancing green development. The main findings are as follows: (1) Overall, both agricultural digitalization and the level of green agricultural development have gradually increased during the study period, with agricultural digitalization significantly contributing to sustainable agricultural development. (2) The impact of agricultural digitalization on green agricultural development shows an upward trend in eastern, coastal, and non-grain-producing regions, as well as in the southeastern areas of the “Hu Huanyong Line”. In contrast, inland regions and the northwestern areas of the “Hu Huanyong Line” exhibit a U-shaped relationship, and grain-producing regions experience a clear inhibitory effect. Additionally, the promoting effect of agricultural digitalization is more pronounced in regions with higher levels of green agricultural development. (3) Agricultural digitalization generates positive spillover effects, benefiting not only the local region but also surrounding areas, with a stronger radiative effect on neighboring regions. (4) Mechanism analysis suggests that under all three development models, agricultural digitalization can effectively enhance green agricultural development by improving the alignment of supply and demand for green agricultural products, accelerating the establishment and promotion of green agricultural brands, strengthening environmental regulation, fostering new agricultural business entities, advancing agricultural mechanization, and improving the efficiency of facility agriculture. Full article

Crop rotation emerges as a pivotal strategy addressing the decline in cultivated land quality and degradation and alleviating food production issues. However, the effective implementation of crop rotation policies remains challenging and requires further research. With the decline of the Chinese agricultural labor force, new agricultural business entities (NABEs), which encompass agricultural cooperatives, family farms, and agribusinesses, can play a significant role in agricultural modernization. Therefore, this research assesses how well NABEs encourage smallholders to adopt crop rotation practices, unraveling the mechanisms behind them and practical implementation pathways. Using survey data (n = 798) and the Tobit model, the findings of this research indicate the positive influence of NABEs in stimulating crop rotation among smallholders. This facilitation occurs via diverse mechanisms, including suitable access to land leasing, agricultural inputs, technical assistance, and market access. Additionally, the results indicate nuanced aspects, highlighting the heterogeneous impacts of NABEs across different contexts. Full article

With the development of new agricultural business entities in China, a complex competitive evolutionary dynamic has emerged among diversified agricultural business entities (abbreviated as ABEs), including farmers (traditional ABEs), cooperatives, agricultural enterprises, and family farms (new ABEs). Based on the Lotka–Volterra model, the dominance index, the Shannon–Wiener index of ecological theories, and the geo-detector, this study examines the spatiotemporal evolution and driving factors of ABEs’ structural changes across 286 Chinese cities from 2012 to 2021. Key findings include: (1) Farmers maintain absolute numerical dominance, but their relative advantage has declined. (2) The Shannon–Wiener index of diversified ABEs has increased significantly, indicating that differences between ABEs decreased, which means a trend toward structural homogenization. High Shannon–Wiener index values were observed in the Northeast Plain, Xinjiang, Hebei, Gansu, and Shanxi, while low values were concentrated in Yunnan, Guizhou, and the Guangdong-Guangxi region. Both areas experienced a shrinking trend. (3) Agricultural production factors such as multiple cropping indexes and theindustrial structure strongly explained the structural changes to ABEs, while the explanatory power of socio-economic factors can be enhanced after the interaction with agricultural production factors. (4) The relationship between farmers and new ABEs has shifted from a symbiotic relationship favoring farmers to a symbiotic relationship favoring new ABEs, with a significant spatial heterogenous layout among 286 cities. This study proposes a three-stage differentiation framework for ABEs: a simple structure dominated by traditional farmers, a competitive evolutionary dynamic among diversified ABEs, and a modernized structure led by new agricultural business entities. Based on these stages, this paper provides targeted recommendations for building a high-quality ABE system and advancing agricultural modernization. Full article

Rural e-commerce, as a new industry and business model, shows high revenue potential, and new agricultural management entities are the main force of agricultural production in rural areas, but the overall participation of new agricultural management entities in rural e-commerce is still low. Therefore, this paper explores the factors affecting the participation of new agricultural management entities in rural e-commerce to increase their participation rate and thus enhance their sustainable business capacity. Based on the Theory of Planned Behavior, this paper empirically analyzes the factors influencing the rural e-commerce participation behavior of new agricultural management entities using structural equation modeling. It adopts multivariate ordered logistic regression modeling and multi-group structural equation modeling to explore the influence factors on the participation behaviors of different types of new agricultural management entities’ e-commerce participation behavior influence factor differences. The empirical results show that subjective norms, behavioral attitudes, perceived behavioral control, and social environment of new agricultural management entities have a significant positive effect on behavioral intention and an indirect impact on participation behavior; the perceived behavioral control and behavioral intention of new agricultural management entities have a direct and significant positive effect on participation in rural e-commerce behaviors; behavioral intention plays a mediating role in the relationship between perceived behavioral control and participation behavior, and the control variables have a significant positive effect on the participation behavior of different types of new agricultural management entities. The control variables for different types of new agricultural management entities participate in the rural e-commerce behavior of the influencing factors. There are significant differences; subjective norms, behavioral attitudes, perceived behavioral control, and other variables on different types of new agricultural management entities participate in the intention to join in the participation of different types of behavior and participation in the behavior of the existence of a different degree of significant positive impact. Therefore, to stimulate new agricultural management entities to participate in rural e-commerce enthusiasm, the actual needs of new agricultural management entities to carry out targeted e-commerce training, as well as different types of new agricultural management entities to develop differentiated e-commerce support strategies, to enhance their ability to operate sustainably. Full article

Sustainable agriculture has been proposed by the United Nations as a key indicator of the Sustainable Development Goals (SDGs). It presents diverse features and rich connotations in the transformation towards modernization. However, for a long time in China, transformations of agricultural modernization have not been the concern of spatial planning, nor the emerging land use requirements of agricultural modernization under the trends of urban–rural integration, such as the application of modern technologies for the mechanization of agricultural production, the coexistence of multiple forms of business entities with agricultural enterprises as the main body, the extension of the industrial chain from the primary to the secondary and the tertiary, and the concentration of industrial spaces, as well as specific land use due to those transformations. This paper constructs an analytical framework of “business entity, business model, production technology, and production space” based on the literature studies and selects eight representative agricultural cases from Beijing, Zhejiang, and Yunnan to conduct field investigations and case studies to reveal the transformative aspects of agricultural modernization in China and its land use requirements, enriching the understanding of modern agriculture from the perspective of spatial planning. This study finds that the transformation of agricultural modernization has generated new requirements for the construction of necessary production facilities, but these requirements cannot be met in terms of land use due to the constraints imposed by China’s current land use regulations. The paper advocates for the development of agricultural parks, the optimization of land use regulations, and the allocation of agricultural land use in spatial planning in line with the trends of agricultural modernization, thus supporting the sustainable development of agriculture. Full article

Urban–rural fragmentation represents a significant challenge encountered by nations globally, particularly in both developing and developed contexts, during the modernisation process. This study examines the effects of rural land system reform on facilitating integrated development between urban and rural areas. The analysis of the impact of the 2010 liberalisation of the land transfer policy employs a dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, to address the limitations of traditional causal inference models while ensuring estimation accuracy. The findings indicate that the reform of the rural land system significantly enhances integrated urban–rural development, particularly in demographic, economic, and ecological dimensions. The mechanisms encompass the facilitation of extensive land and agricultural service operations, the development of new business entities, the migration of rural labour, and the enhancement of agricultural capital. Furthermore, notable disparities exist in the effects of reforms across various regions, particularly concerning urban–rural integration development and land transfer levels. The policy effects of land transfer exhibit a marginally diminishing trend. The influence of land transfer on urban–rural integration varies with economic development levels, demonstrating a nonlinear relationship, with the most pronounced effects observed in regions with moderate economic development. Additionally, the policy effects of land transfer differ based on geographic location. The impact of land transfer policies varies across geographic regions, with the central region exhibiting the most significant effect, followed by the north-eastern region, the western region, and the eastern region, which shows the least effect. This study provides a reference for advancing the reform of the marketisation of land factors, improving the efficiency of land resource allocation, and regionally and in multiple layers advancing the reform of the rural land system. Full article

Exploring the adoption of green production technologies by farmers (GTA) is of great significance, given the context of global climate change and sustainable agricultural development. This article starts from the perspective of the transformation of the farmland transfer market, based on research data from 2076 farmers, and uses the endogenous disposal effect model to examine its impact on GTA. The results indicate that the transformation of China’s farmland transfer market has a significant “greening” effect on agriculture. Specifically, the paid transfer of farmland, written leases, and clear lease forms promote GTA, while acquaintance transactions are not conducive to it. Participation in the farmland transfer market has increased the likelihood of GTA by 18.7% and is statistically significant at the 1% level. However, the adoption level of green production technology by ordinary farmers remains low, and achieving green development in agriculture is a long and arduous task. Mechanism analysis shows that the transformation of the farmland transfer market can effectively enhance GTA by increasing the scale of operations, farmers’ income, and mechanization levels. When the transfer targets new business entities, such as family farms, professional cooperatives, and enterprises, it significantly promotes GTA. The findings suggest that deepening the reform of the farmland transfer market, promoting large-scale agricultural operations, strengthening the application of green production technologies, improving the level of agricultural mechanization, and accelerating the process of sustainable agricultural development are all essential steps toward enhancing GTA and, ultimately, achieving sustainable agricultural development. Full article

This paper explores the significance of digital governance for sustainable rural development in China, emphasizing the collaborative efforts of village administrative organizations, new agricultural business entities, and peasant households. Utilizing an evolutionary game approach, we examine the decision-making behaviors and stability points of these three entities within the context of rural digital governance. Our analysis is grounded in a mechanism of interest linkage among the stakeholders, with numerical simulations used to assess the impact of key variables and parameters on their evolutionary outcomes. The paper reveals that village administrative organizations are highly sensitive to changes in performance gains, special subsidies, penalty losses, and benefit distribution coefficients. Enhancing these variables can significantly motivate these organizations to engage in digital governance. In contrast, new agricultural business entities and peasant households demonstrate a stronger and more consistent willingness to collaborate, minimally affected by variable changes, which suggests a solid economic and social foundation for rural digital governance in China. Our paper underscores the need for positive incentives and a robust fault-tolerance mechanism to foster collaboration among village administrative organizations. It also highlights the importance of integrating new agricultural business entities into the digital governance framework to promote sustainable rural development. These insights provide valuable theoretical and practical implications for policymakers aiming to enhance the efficacy and inclusivity of digital governance in rural China. Full article

China’s agricultural sector is transitioning from extensive management to intensive management, and land transfer brings about changes in land use and management methods, which may encourage the agricultural sector to enter a sustainable development track, but this mechanism has not been effectively proven. Using the SBM-GML index to construct a green total factor productivity index to measure the level of sustainable agricultural development in each province (or autonomous region or municipality directly under the central government) and provincial panel data from 2010 to 2022, we applied a panel interactive fixed-effects model to empirically test the impact of land transfer on sustainable agricultural development, with a focus on analyzing the heterogeneity and related mechanisms of this impact. The results indicate that (1) land transfer significantly promotes sustainable agricultural development, and this conclusion still held true after robustness tests such as controlling for regional omitted variables, replacing dependent variables, changing the sample size, IV estimation, and GMM estimation. (2) The mechanism testing found that land transfer mainly promotes sustainable agricultural development by increasing the desirable output, and has no significant effect on reducing non-point source pollution. At the same time, land transfer mainly improves the desirable output through factor allocation effects rather than scale operation effects, thereby promoting sustainable agricultural development. (3) The heterogeneity analysis found that the higher the quantile of agricultural development level is, the weaker the role of land transfer in promoting sustainable agricultural development, indicating that land transfer has a greater impact on areas with poor agricultural development foundations, and areas with poor agricultural development foundations are more likely to obtain sustainable development space through land transfer. The impact of different land transfer methods and land transfer objects on sustainable agricultural development was heterogeneous. Compared with non-market transfer methods such as exchange and transfer, market-oriented transfer methods such as leasing and equity had a more significant impact on sustainable agricultural development. Compared to transferring land to ordinary farmers, transferring land to new business entities such as family farms, professional cooperatives, and enterprises can significantly promote sustainable agricultural development. Full article

At present, agricultural non-point source pollution has become the main source of water pollution, which mainly comes from the excessive use of agricultural chemicals such as pesticides and fertilizers. The TRS is another land system reform in China after the household contract responsibility system, which relaxes the management rights of rural land and clarifies the ownership of land. Using this land reform in China as a case study, this paper constructs panel data for 30 provinces in China to explore the impact of land tenure intensification on agricultural non-point source pollution, using the difference-in-difference (DID) model to identify the causal relationship between the two. The results show that the coefficient of the TRS policy variable is −4.056 at the 1% significance level, indicating that this round of land reform has suppressed agricultural non-point source pollution. The provinces that have implemented TRS have seen an average annual reduction of 405,600 tons in Agnps emissions compared to those that have not implemented TRS, and the scale operation of agriculture and the size of the agricultural economy act as two paths. Moreover, heterogeneity analysis shows that the policy effect of the provinces in non-major food-producing areas is smaller than that of the provinces in major food-producing areas, and the path to realization is also different. Therefore, we should continue to encourage large-scale agricultural operations, cultivate new agricultural business entities, and strengthen the inhibitory effect of TRS on agricultural non-point source pollution. Full article

The integration of the primary, secondary, and tertiary industries in rural areas, known as three-industry integration, is a crucial strategy for developing rural industries and implementing the rural revitalization initiative in China. The government’s fiscal support for agriculture serves as a cornerstone for the sustainable development of agriculture and rural regions. This study investigates the mechanisms through which fiscal support for agriculture facilitates the integration of the rural three-industry sectors by driving industrial innovation, enhancing the circulation of production factors, and optimizing resource utilization in rural areas. Using panel data from 30 provinces in China spanning from 2008 to 2020, we evaluate the level of three-industry integration in rural areas using an entropy method and analyze the effects of fiscal support for agriculture on this integration. Our findings reveal that: (1) fiscal support for agriculture significantly promotes the incorporated development of rural three-industry integration in China by acting as a catalyst for horizontal and vertical integration; (2) fiscal support enhances rural infrastructure quality, fosters market connectivity, and attracts business clusters, while also optimizing factor markets and facilitating the efficient allocation of land, finance, and resources, thereby enabling new business entities, such as leading enterprises, to benefit from economies of scale and to expand the rural industrial value chain; (3) the effects of fiscal support for agriculture exhibit significant regional and agricultural development heterogeneity, with Central China and major agricultural provinces demonstrating the most pronounced role in promoting rural three-industry integration. Full article

With the growing trend of arable land abandonment, the potential threat to the security of the food supply has sparked public concern. In order to examine the impact of non-agricultural employment on food security, this study builds linear regression models for research based on panel data from counties in China’s old revolutionary base areas. The empirical results show that, although the impact of non-agricultural employment on total grain production is not significant, it has a significant negative impact on both area and productivity, which indicates that non-agricultural employment poses a challenge to food security. In addition, the study examines the potential benefits of non-farm employment on two aspects of food security, including intensive management and the increase of new business entities. Non-farm employment can also significantly promote intensive management, thereby reducing the food-security challenges brought by non-farm employment, while the benefits of new management entities are insignificant. These findings contribute to the optimization of economic policies related to agricultural development, including exploring land property rights reform systems to promote land transfer, strengthening labor quality improvement in the agricultural sector, and formulating supporting policies to stabilize non-agricultural employment in accordance with local conditions. Full article

As one of the major new agricultural business entities, agricultural leading enterprises (ALEs) are responsible for ensuring national food security, leading agricultural and rural modernization, and increasing farmers’ employment prospects and incomes. From the perspective of headquarters and branches, this study used a point pattern analysis, the local Moran’s index, the rank-size rule, and the geographical detector to depict the spatial pattern of ALEs in Heilongjiang Province, detect influencing factors, and reveal the spatial layout mechanism. The main conclusions are as follows. (1) ALE headquarters and branches in Heilongjiang Province had different location requirements, and their layout orientation, clustering areas, and influencing factors were different. (2) The headquarters displayed a pronounced urban and agglomeration orientation, while branches exhibited a significant farm dependence and raw material orientation. (3) Both the headquarters and the branches showed a significant trend towards spatial clustering. The headquarters were mainly in the Harbin municipal district and surrounding counties, including Wuchang, Zhaodong, and Beilin, which showed a high–high cluster pattern. The branches were mainly in the Sanjiang Plain. Tongjiang, Fujin, Hulin, Mishan, Raohe, Baoqing, and Suibin showed a high–high cluster pattern, while the Harbin municipal district and Bei’an showed a high–low outlier pattern. (4) The ALEs’ regional connection network in Heilongjiang Province was radially distributed with the Harbin municipal district as the centre. The agricultural reclamation system deeply influenced it. (5) The number of supporting enterprises, number of permanent residents, gross domestic product, railway mileage, number of people with Bachelor’s degrees or above, and distance from the provincial capital were the main influencing factors of the headquarters spatial pattern in Heilongjiang Province. The number of state farms in Heilongjiang Province, the per capita grain yield, highway mileage, and distance from the provincial capital were the main influencing factors of the branch spatial patterns in Heilongjiang Province. The interaction results indicated that the explanatory power of two-factor interaction was stronger than that of a single factor regardless of headquarters or branches, and most interaction types were bilinear enhancements. This study aims to provide a decision-making reference for the long-term development of ALEs in Heilongjiang Province at the present stage and accelerate the development of agricultural industrialization in major grain-producing areas. Full article

Traditional agricultural business entities present environmental problems such as high energy consumption and high pollution. To achieve goals such as carbon capping and carbon neutrality, governments should encourage urban agricultural operators to sell low-carbon agricultural products online. This could play an important role in smoothing the connection between production and marketing, achieving industrial prosperity and promoting low-carbon agricultural development. This paper explores the formation and behavioral transformation of online sales intention by combining the theory of planned behavior, the Motivation–Opportunity–Ability (MOA) model, and the binary Probit regression model using data from 106 questionnaires. The study found that economic expectations and social norms can significantly improve online sales intention during the formation stage of online sales intention. Behavior control is not conducive to improving online sales intention. In addition, we found a gap between the willingness of urban agricultural operators to sell online and their behavior. This gap requires activation and adjustment of the opportunity and capability factors in the behavior transformation phase. Finally, we found that the strengthening of policy conditions and management capacity facilitated the transformation of urban agricultural operators’ willingness to sell online into behavior. This paper provides recommendations for the online sales of low-carbon agricultural products. While we continue to deepen urban agricultural operators’ knowledge of online sales, we should also pay attention to the creation of external opportunities that are suitable for the development of online sales, and identify differences in capacity among operators. This will provide precise services. Full article