Over the past two decades, the study of migrants’ leisure has undergone a notable transition from a focus on “internal structures” to an examination of “external opportunities or constraints.” With migrants’ deepening and diversifying social participation in local cities, their leisure activities and the ensuing social interactions have emerged as significant focal points for geographers investigating migrants’ social integration. To elucidate the trajectory of geographic research on migrants’ leisure, this study employs bibliometric analysis in conjunction with a thorough review of existing literature spanning 1999 to 2023. Through this analysis, it delves into the evolutionary lineage, developmental characteristics, and thematic scope of urban migrants’ leisure both domestically and internationally, thereby constructing a comprehensive understanding of current research trends. Building upon this foundation, the study further organizes and analyzes existing literature on migrant leisure within the context of urban governance, examining four key themes: local public policy and diverse governance discourses, urban public space and infrastructure, social participation and cross-cultural interaction, and social capital and subjectivity negotiation. This endeavor aims not only to augment the existing corpus of research on domestic migration but also to provide practical insights into the contemporary demographic and spatial governance of Chinese cities.

This study conducts a bibliometric analysis of 560 peer-reviewed articles (2003—2023) on China’s New International Land-Sea Trade Corridor from the CNKI database, utilizing CiteSpace visualization to identify key research trajectories, thematic clusters, and geographical implications. The results show that: (1) Since 2016, the research has entered a rapid growth stage, mainly in the fields of geography, transportation and logistics, and regional economy. (2) The Chinese Academy of Sciences, Beibu Gulf University, and Chongqing Jiaotong University are important research institutes. There are relatively few core authors and high-yielding authors in the research field. (3) Research hotspots and themes focus on “connotation cognition and construction path of the New International Land-Sea Trade Corridor” “international trade and trans-regional cooperation for ASEAN”“urban spatial connection network along the corridor”“regional economic connection and industrial development along the corridor” and “multimodal transport and logistics support along the corridor”. (4) In the future, the trade and geographical relations of countries and regions, the distribution of resources and industries, the construction of transportation systems, regional governance and cooperation, spatial system support and the assessment of social and economic effects should be focused on.

Based on panel data from 30 provinces in China from 2010 to 2022, this article explores the relationship between new quality productivity and talent agglomeration using PVAR and BCC-O models. The results show that: (1) The level of new quality productivity and talent agglomeration in China have been increasing year by year, and the spatial distribution shows a stepwise decreasing trend from east to west. Talent aggregation has a positive effect on the improvement of new quality productivity, and the improvement of new quality productivity also drives talent aggregation, and the short-term strengthening effect of talent aggregation is stronger. (2) The new quality productivity is affected by its own impact, and the “Matthew effect” of the development of new quality productivity is obvious, maintaining a long-term non negative response to talent aggregation. (3) The strengthening effect of talent aggregation under the “siphon” effect is enhanced; In the very short term, talent agglomeration has a positive impact on new quality productivity, but later on, the impact of talent agglomeration on new quality productivity is not positive, which may be caused by the imbalance of talent structure and regional development, industrial structure mismatch, talent internal consumption and other problems. Therefore, it is necessary to firmly establish the strategic position of talent aggregation leading new quality productivity, adjust the talent structure based on regional industrial and technological structure, appropriately guide talent aggregation, and develop scientific and technological productivity, green productivity, and digital productivity through targeted efforts to build a modern economic system, innovate production technology and methods, and explore digital development models.

Based on resilience theory, an evaluation index system for innovation resilience is constructed from three dimensions: resistance, recovery, and regeneration and is utilized to measure the innovation resilience levels of 30 provincial administrative regions in China from 2011 to 2022. Furthermore, methods such as entropy method, Kernel density estimation, Dagum Gini coefficient and its decomposition, spatial Markov chain, and spatial Durbin model are employed to investigate the spatial and temporal differentiation characteristics and influencing factors of China’s regional innovation resilience levels. The results indicate the following: (1) China’s regional innovation resilience exhibits a steady upward trend with fluctuations over time, indicating considerable room for improvement in the future. (2) Significant disparities exist in the level of regional innovation resilience in terms of spatial dimensions, presenting a non-equilibrium pattern of “high in the east and low in the west” with pronounced spatial clustering characteristics. (3) The overall differences in innovation resilience levels are continuously expanding, with inter-regional differences being the primary source of overall variation, especially between the eastern and western regions. (4) The transition of innovation resilience levels demonstrates stability, accompanied by the phenomenon of “club convergence”. (5) Economic development level, digital infrastructure, industrial structure upgrading, and innovation and entrepreneurship activity are significant factors influencing the level of regional innovation resilience in China.

Based on social network analysis, this paper constructed formal and informal cooperation networks among listed cultural tourism enterprises, and visually analyzed their structural features from the perspective of overall network and individual network. The results show that there is a positive correlation between informal cooperation and formal cooperation, both of which are sparse network structures with low density and have certain similarity in subgroup division. In the formal cooperation network, most tourism enterprises are at the edge, but the tourism enterprises represented by OCT, Vanke, China Merchants Shekou and Qujiang Cultural Tourism will play a more core role in the future through informal cooperation. Film and television media enterprises are prominent in the two kinds of cooperation relations, “film and television+tourism” is a key means to further promote the integration of culture and tourism; In the future, cooperation between cultural and tourism enterprises will focus on new models of cultural and tourism industry, including optimizing and extending the industrial chain of cultural and tourism, promoting health and cultural tourism, digital cultural and tourism, and finally reaching strategic cooperation or investment cooperation agreements.

This article takes five national key revolutionary old areas as the research area, establishes a high-quality development evaluation index system, and uses methods such as entropy weight method and spatial econometric model to conduct a study on the spatial pattern and influencing factors of high-quality development in key revolutionary old areas in China in 2020. The results show that: (1) The overall level of high-quality development in revolutionary old areas and counties is relatively low. The order of high-quality development in the five revolutionary old areas is as follows: the former Central Soviet Area,Dabie Mountains Old Revolutionary Base Area,the Shaanxi, Gansu and Ningxia Old Revolutionary Base Area, the Sichuan and Shaanxi Old Revolutionary Base Area and the Zuoyoujiang Old Revolutionary Base Area. There are significant differences in the high-quality development space within the revolutionary old areas, forming a new core periphery structure; (2) The dimensions of innovation driven, economic development, and shared development have significant driving effects and are important dimensions that affect the high-quality development of revolutionary old areas. All other dimensions have significant spatial correlations with the high-quality development index, but there are significant regional differences; (3) The high-quality development of revolutionary old areas is the result of the comprehensive effects of economy, society, and natural environment. Human capital is the core factor for the high-quality development of revolutionary old area counties, but the driving effects vary in different regions; In addition, the level of industrialization also has a strong driving force in the former Central Soviet Area, the Sichuan and Shaanxi Old Revolutionary Base Area, the Shaanxi, Gansu and Ningxia Old Revolutionary Base Area, and the Zuoyoujiang Old Revolutionary Base Area.

Shaanxi, Shanxi, Inner Mongolia, Gansu and Ningxia, which are rich in resources, are selected as the research objects, centering on the green and low-carbon core, this paper constructs a comprehensive economic resilience measurement index system of three subsystems, namely, “resistance resilience, adaptation and adjustment, innovation and transformation”, entropy weight-topsis, Theil index, geographic detector and obstacle degree model were comprehensively used to explore the spatio-temporal evolution characteristics and influencing factors of economic resilience in energy-rich areas from 2007 to 2021. The results show that: (1) The economic resilience of energy-rich areas increases with the passage of time, and the spatial polarization characteristics are obvious. (2) The spatial difference of economic resilience is gradually expanding, and intra-regional difference is the main reason for the spatial difference. During the study period, the average contribution rate of Shanxi, Shaanxi, Inner Mongolia, Gansu and Ningxia to the intra-regional difference is 16.37%, 32.13%, 16.54%, 21.7% and 6.49%, respectively. (3) The spatial difference of economic resilience in energy-rich areas is the result of a variety of factors, and innovation transformation is the most critical factor hindering the improvement of economic resilience.

Regional scientific and technological innovation capability is an important guarantee for regional economic transformation and sustainable development. This study took Henan Province as the research area and used research methods including CV-RSR-ARIMA model, standard deviation ellipse model, and obstacle diagnosis model to conduct empirical research on the evaluation and spatiotemporal evolution of regional scientific and technological innovation capability in Henan Province. The results show that: (1) The overall regional scientific and technological innovation capacity of Henan Province shows a fluctuating upward trend, and the evaluation results of various cities indicate a certain regional differentiation pattern, and the ARIMA results indicate that the prediction period has a significant growth; (2) The spatiotemporal differentiation results show that the polarization effect of the dual core model of “one primary and one secondary” has changed to the diffusion and backhaul effect. The standard deviation ellipse on the whole has increased, and the center of gravity has moved from Zhengzhou to Xuchang, while the obstacle degree diagnosis results show that technology market transaction volume, number of patent authorizations, and sales revenue of new products for enterprises are the main obstacle factors; (3) Regional scientific and technological innovation capability is a comprehensive capability of a region with scientific and technological innovation, subsequent research should combine multi-source data to conduct in-depth research on regional scientific and technological innovation efficiency, spillover of scientific and technological output space, and factors affecting innovation capability.

Balancing the relationship between urban development and ecological environmental protection has become a significant issue in advancing the new urbanization process with county towns serving as important carriers. Using data from 2015 to 2021 at the county level in Ningxia as a sample, this study conducts a comprehensive measurement of both new urbanization and ecological environmental development. The Tapio decoupling elasticity model is applied, and factor analysis from the geographical detector model is introduced to explore the decoupling coordination between new urbanization and ecological environmental development in Ningxia as well as the driving factors. The findings are as follows: (1) Both new urbanization and ecological environmental development in Ningxia exhibit an overall growth trend, but there are significant regional disparities and asynchronous development between the two. (2) Overall, the relationship between the two presents fluctuating characteristics of decoupling and negative decoupling. In the process of new urbanization and ecological environmental development in Ningxia, county-level regions place more emphasis on urbanization development while relatively neglecting ecological environmental development. (3) Among the dominant factors determining the decoupling relationship between new urbanization and ecological environmental development, the ecological environmental system accounts for 60%, and its influencing factors rank higher overall, providing a stronger explanatory effect for the decoupling relationship. This indicates that ecological environmental development has a significant impact on the decoupling relationship between county-level new urbanization and ecological environmental protection.

This paper examines 32 nationwide urbanization policy documents released in China after the introduction of the sustainable development goals(SDGs), analyzing the coupled relationship and spatial heterogeneity between SDGs and China’s urbanization policies. The results show that China has actively responded to sustainable development principles within urbanization policies, shifting from quantity-driven to quality-focused approaches. The policies have transitioned from a rural-urban dichotomy to integrated urban-rural development, from incremental construction to improving existing resources, and from single-factor management to modernized system governance. Additionally, there has been a shift from prioritizing fundamental construction to advancing social, cultural, and environmental aspects in coordination. Spatially, urbanization policies are concentrated in a ‘diamond’ region formed by Beijing-Tianjin-Hebei, the Yangtze River Delta, Guangdong-Hongkong-Macao, and Chengdu-Chongqing. However, alignment with SDG targets is uneven, with gaps in areas such as gender equality, clean energy, urban heritage, and disaster resilience. Moving forward, it is crucial to strengthen the alignment between urbanization policies and SDGs, enhance regional coordination and equity, establish an SDG-oriented evaluation system, and promote sustainable, high-quality urbanization.

Under the framework of spatial econometric regression method, 60 cities radiating outward from Beijing and Shanghai are selected as research objects. Based on the perspective of factor flow, this study explores the impact of public service construction in central cities on the level of public services in surrounding areas, aiming to provide a useful perspective for the high\|quality and balanced development of public services. Research has shown that the construction of public services in central cities exerts a radiation effect by guiding the flow of factors, and has significant spatiotemporal heterogeneity. The radiation nature of Beijing’s public services is to some extent manifested as a “backwash”of elements around the Beijing area, leading to the loss of surrounding hinterland elements and curbing the process of high\|quality and balanced development of regional public services; The construction of public services in Shanghai presents a trend of first “backwash” and then“spread” to the surrounding area’s resource elements, effectively driving the coordinated development of regional public services. The above model settings and tests show robustness.

Utilized methods such as standard deviational ellipse and hotspot analysis to investigate the evolutionary patterns of elderly care facilities in the Yangtze River Delta region. Employing a difference-in-differences model, the study examined the impact and driving mechanisms of integration policies on elderly care facilities in various cities. Furthermore, based on the core-periphery theory, the study examined the differences in the effects of the policy on core cities and peripheral cities. Finally, using polarization index analysis, the study analyzed the polarization trend of elderly care facility development in the Yangtze River Delta region. The research findings indicate that: (1) The spatial pattern of elderly care facilities in the Yangtze River Delta region is undergoing a transition from high agglomeration to broad diffusion. (2) The integration policy in the Yangtze River Delta region has stimulated the development of urban elderly care facilities, and the impact of this policy on peripheral cities is more significant compared to core cities. (3) Regional integration policies contribute to reducing disparities in the development of elderly care facilities among cities.

This study introduces the social-ecological system (SES) framework to deeply analyze the multi-stakeholder collaborative governance mechanism in the urban spatial evolution of urban agglomerations. Taking the urban space of the Hubaoe urban agglomeration from 2010 to 2015 and from 2015 to 2020 as an example, this study employs the geographical detector model to quantitatively measure the contribution of multi-stakeholder actions to urban spatial evolution. The results indicate that: (1) The areas with significant urban spatial expansion in the Hubaoe urban agglomeration are mainly concentrated in central regions such as Yuquan District, Saihan District, and Tumd Left Banner, demonstrating an evolutionary pattern of “rapid expansion in the central region and slow expansion in the north and south.” (2) From 2010 to 2015, fixed asset investment is the key factor influencing urban spatial evolution, while from 2015 to 2020, human activity intensity become the dominant factor. The interaction between these two factors exhibit the strongest explanatory power for the dependent variable. (3) The actions of multiple stakeholders, including the government, market, and the public, play a crucial role in driving urban spatial expansion. Moreover, their influence has been increasing over time. This study provides theoretical and empirical references for the urban spatial evolution of urban agglomerations, the Hubaoe urban agglomeration, and other similar regions.

Adhering to the principle that the quality and quantity of the development of the catering industry are equally important, the development level index of the catering industry was constructed according to the number of reviews and comprehensive scores of registered merchants on Meituan.com. The spatial distribution pattern of the catering industry in urban area in Shanghai and its influencing factors were analyzed by using kernel density analysis , OLS and GWR models. The results show that: (1) The spatial distribution of catering industry in urban area in Shanghai is extremely unbalanced, showing the characteristics of “core-periphery” circle distribution and extending along the road; (2) The agglomeration of different types of catering industry is quite different. The local Jiangsu and Zhejiang catering industry and foreign traditional local cuisine belong to “single-core agglomeration”, while the international catering industry is “dual-core linkage”, and the leisure snacks and fast food show the characteristics of “multi-core group”. (3) The influence factors and intensity of different types of catering industry have obvious spatial heterogeneity. Office buildings, commercial centers and population have a positive guiding effect on the development of the catering industry, while the road network and 3A hospitals have a reverse inhibiting effect.

Taking the coastal cities in China as the research object, this paper, based on the real-time traffic big data from the API of navigation electronic maps and GIS technology, constructs a time cost model to systematically analyze the spatio-temporal evolution of accessibility and the competition-cooperation effects for one-day trips and weekend trips in coastal cities in the eras of ordinary highways, expressways, and high-speed railways. The research shows that: (1) In the era of highways, the accessibility of coastal cities is mainly concentrated in the eastern region. After the opening of high-speed railways, it significantly extend inland, and the coverage of weekend trips expanded to most areas in the central region; (2) The evolution of the transportation network promotes the improvement of accessibility levels, forming a spatio-temporal pattern of “corridor diffusion-balanced expansion”. In the era of high-speed railways, one-day trips show the corridor characteristics of high accessibility in the northeast and south China and low accessibility in the central region along the traffic trunk lines, while weekend trips present diversified spatial patterns such as irregular patterns from northeast to southwest, east-west penetration in North China, and circular patterns in Central China; (3) Transportation changes trigger the competition-cooperation effects of “intensified competition-cooperative complementarity”. In the era of ordinary highways, the competition was mainly among neighboring cities. In the era of high-speed railways, the competition spread inland, especially significantly in Central China. At the same time, high-speed railways promote cross-regional cooperation, forming new cooperation models such as “tourism center+transportation hub” and “tourism center+characteristic resources”, and promoting the formation of a coordinated development pattern between coastal areas and their hinterlands.

Taking the 16 national rural revitalization demonstration counties in ethnic areas as research objects, constructed an evaluation index system for the level of rural revitalization in ethnic areas and measured it using data envelopment analysis; on this basis, used fuzzy set qualitative comparative analysis (fsQCA) to conduct an in-depth analysis and exploration of tourism factors and paths for achieving rural revitalization in ethnic areas from a group perspective. The results show that: (1) The overall level of rural revitalization in the demonstration counties in ethnic areas is high, with the highest level of rural revitalization in Yufeng District of Liuzhou City, and the lowest level of rural revitalization in Bole City (1.177) and Qingtongxia City (1.125); (2) Individual tourism factors do not constitute the necessary conditions for the development of high-level rural revitalization, and the combination of multiple tourism factors can efficiently promote rural revitalization, and rural revitalization tourism paths vary, the study obtained a total of three representative rural revitalization tourism paths: vitality burst, resource-driven and location radiation; (3) The main factor that limits the development of rural tourism in ethnic areas lies in the lack of tourism location, under the absence of tourism location, even if there is economic income and financial support, it cannot bring efficient rural revitalization development.

Taking a typical mountain city-Chongqing central urban area and a plain city-Chengdu central urban area as examples, a comparative analysis of the network structure of tourism flows in the two cities was conducted using kernel density analysis and social network analysis.The results showed that: (1) Natural and mountainous city attractions were the high-frequency tourism nodes visited by Chongqing Municipality; humanistic and characteristic city attractions were the high-frequency tourism nodes visited by Chengdu Municipality. (2) Chongqing tourism flow spatially presents the structure of “core large aggregation, edge small aggregation”, and the group phenomenon was obvious; Chengdu tourism flow spatially presents the structure of “core aggregation-edge dispersion”, and the phenomenon of dispersion was obvious. (3) Chongqing tourism flow was distributed in the form of a group, so Chongqing tourism flow compared Chengdu tourism flow, its network density was higher; Chengdu tourism flow was less restricted by the geographic environment, spatial presentation of the “wide and scattered” characteristics, so Chengdu tourism flow network clustering coefficient was higher than that of Chongqing. (4) The network structure of tourism flows in Chongqing presented a single-module central structure, with strong convection mainly concentrated between nodes within the central module; while the tourism flows in Chengdu presented a multi-module central structure, with the core nodes of different modules flowing with each other.

Based on stakeholder interaction evaluation, default problem evaluation, individual participation attribute evaluation three development, constructs a multidimensional evaluation method and processes the questionnaire/interview survey data of 4A and above scenic areas in the Shijiazhuang using multiple algorithms and analysis tools, aiming to elucidate the formation of the foundation of tourism co-governance through the structural characteristics of stakeholder network. The results show that: The role-playing of public institutions and the intervention of individuals with participation capacity are two ways to form the foundation of tourism co-governance and improve the quality of tourism co-governance outputs. Public institutions excel in promoting the dense connections of stakeholder network nodes and in the process of constructing network dense subgroups. The implementation of tourism co-governance will rely on a co-governance network centered around managers that guides the participation of multiple subjects. A representative group network composed of proactive promoters will elevate tourism co-governance to a higher level, which can be used to design and implement a co-governance cluster. These insights reveal the role of stakeholder network structures in the formation of the foundation of tourism co-governance and the improvement of tourism co-governance outputs quality. The article suggests that stakeholder networks can be understood as a foundation for co-governance, which helps identify and address weak links in tourism co-governance relationships, and is expected to provide useful information for the design of co-governance forms and co-governance processes.

Grounded in the connotation of high-quality development and guided by the new development paradigm, a five-dimensional evaluation index system for assessing the high-quality development of regional tourism was constructed. By employing the geographical detector method, the analytic hierarchy process (AHP), and fuzzy mathematics, an evaluation model was established. Taking Fenghuang Ancient Town as a case study, the research evaluated the high-quality development level of its tourism industry and identified the primary driving factors. The findings indicated that: ① The overall tourism high-quality development of the ancient town of Fenghuang is at a high level, and decreases from the two sides of the Tuojiang River in the scenic area and its southern historical and cultural neighborhoods to the surrounding area; ② The spatial distribution of the level of high-quality development of the tourism of the ancient town of Fenghuang is in high consistency with the zoning state of the protection of the ancient city; ③ The main driving factors of the five dimensions of high-quality tourism development in Fenghuang Ancient City are the innovative combination ability of tourism resources, tourist satisfaction, environmental quality, tourism openness and cultural transmission and inheritance. ④ The two dimensions of open development and innovative development have the greatest effect on the high-quality development of Fenghuang Ancient City tourism.

It was of practical significance and policy value for implementing national food security strategy to study grain production spatial and temporal pattern evolution and influence factors from three levels of grain, cereals and rations. Based on the panel data of grain, cereals and rations in 31 provinces of China from 2000 to 2022, this paper analyzed the evolution of the spatial and temporal pattern of grain production by applying the method of production concentration, gravity center statistics and spatial autocorrelation, and established a spatial econometric model to explore the factors affecting the evolution in the pattern. The results showed that: (1) The concentration of grain and cereals changed from high in south and low in north to high in north and low in south, and the concentration of rations production was concentrated in central and southern regions, and continued to increase in northeast China. (2) The center of gravity of grain, cereals and rations production moved to the northeast, with the relative orientation of grain to the west, cereals to the northeast, and rations to the south. (3) There were significant spatial autocorrelation and spatial spillover effects in the production of grains, cereals and rations. (4) The temporal and spatial pattern of grain, cereal and ration production were influenced by a variety of factors including the affected area, per capita GDP, fertilizer use, planting area, and agricultural fiscal spending. This paper proposes to optimize the distribution of grain production in accordance with regional grain production advantages, enhance the ability of agricultural science and technology to prevent and mitigate disasters, implement regional differential policies and develop more precise subsidy policies for grain, cereals and rations.

This study empirically analyses and evaluates the digital economy’s promotion of green development of agriculture and the degree of coupling coordination based on the panel data of five provinces in Northwest China from 2011 to 2021 by using benchmark regression, coupling coordination degree model, density estimation and other methods. The results of the study show that the digital economy in Northwest China has a positive impact on agricultural green development in a longer time series. And there is a lag in the promotion effect of digital finance on agricultural green development, which will be gradually enhanced over time, and digital information infrastructure and digital service infrastructure always have a strong positive impact on agricultural green development. The level of coupling and coordination between the digital economy and agricultural green development in the five provinces of Northwest China has increased year by year, but the spatial difference is obvious. Based on this, this study proposes to increase the investment in research and development of high-tech information technology industry to support the embedding of digital finance in the countryside to solve the problem of financing difficulties for farmers, and to strengthen the supervision of digital information to avoid risks and protect the interests of farmers.

By characterizing the grouping patterns of farmers’ livelihood resilience and welfare levels, as well as the differences in their livelihood strategies, sources of income, and access to information under different grouping patterns, a multivariate logistic regression model was further used to explore the factors influencing the resilience-welfare configuration model of the farmers. The results show that: (1) The rural households in Yuyang District mainly form the “high resilience-high welfare” mode, while the rural households in Fugu County and Shenmu City mainly form the “low resilience-low welfare” mode. (2) “High resilience-high welfare” is the optimal configuration mode. In this kind of household, non-agricultural livelihood strategy accounts for the highest proportion, while part-time livelihood strategies account for a higher proportion than agriculture-based livelihood strategies. (3) Compared with the “low resilience-low welfare” model, it is easier for rural households to realize the optimal configuration model when individuals implement soil and water conservation measures to change terrain and control desertification, and government organizations implement and adopt soil and water conservation technologies such as planting grass and biological crust cultivation.

In order to optimize the industrial layout of the Yellow River Basin, promote the industrial upgrading of the whole basin and achieve high-quality development through the agglomeration of manufacturing industry, the spatial econometric model was used to empirically analyze the spatial effect of manufacturing industry agglomeration on high-quality development, and agglomeration effect of manufacturing industry in the upper, middle and lower reaches is compared and studied. The results show that the agglomeration level of manufacturing industry in the Yellow River Basin needs to be improved, and it has not played a significant role in promoting the green TFP of the whole basin, but has effectively promoted the green technological progress of surrounding cities through spatial spillover; from a regional perspective, the agglomeration of manufacturing industry has an inhibitory effect on the upstream green TFP, but has a promoting effect on the midstream and downstream green TFP. In order to give full play to the positive effect of manufacturing industry agglomeration, the Yellow River Basin should break down the barriers to factor flow and improve the efficiency of resource allocation; build a regional innovation community and enhance technological innovation capabilities; improve the agglomeration level of manufacturing industry and smooth the circulation of the industrial chain; broaden the division of labor in the industrial chain, and drive the green development of urban agglomerations with central cities.

Based on the survey data of 1 314 farmers in six provinces and regions of the Yellow River Basin, the impact of cultivated land transfer-in (CLTI) on agricultural production outsourcing (APO) by propensity score matching method (PSM) was empirically tested, and heterogeneity of the impact and threshold effect were further analyzed. The research findings claim that: (1) The CLTI plays a significant role in promoting the adoption behavior and quantity of the APO. (2) The CLTI only has a significant promoting effect on the APO for rural households with younger household heads, lower education level of household heads, smaller family size and larger cultivated land scale. At the same time, the CLTI has a significant promoting effect on the outsourcing of planting management and harvest, but not the land preparation. (3) There is a threshold effect on the impact of CLTI on the APO. Specifically, when the area of CLTI over 0.6 hm², it begins to significantly promote the farmers’ adoption number of APO. Therefore, it is necessary to further improve the development of cultivated land transfer and APO market to achieve the coordinated development of the both. Differentiated and precise measures should be implemented for different types of farmers. In addition, large-scale cultivated land transfer is also should be encouraged.