Allocation Of Human Resources Research Articles

Analysis of Transformation and Upgrading Path of a Steel Structure Company in Zibo City, Shandong Province under the Concept of Sustainable Development

In the context of global climate change, green and low-carbon development has emerged as an international consensus. China has established a dual-carbon target, aiming for carbon peaking by 2030 and carbon neutrality by 2060, thereby necessitating the green transformation of high-energy-consuming and high-emission industries. As a major carbon emitter, the construction industry needs novel development models to achieve sustainable development. The circular economy concept aligns well with steel structures, noted for their energy efficiency, environmental sustainability, recyclability, and high assembly efficiency. And this is a crucial pathway for the sustainable transformation of the building sector. This paper selects a typical steel structure enterprise in Zibo, Shandong Province as the research target. The corporate sustainability report and financial data from 2019 to 2023 employ the mutation level method to evaluate the impact on the enterprises economic performance, green performance, and operational performance across dimensions such as technological innovation, R&D investment, environmental protection expenditures, policy environment, and human resource allocation. The results show that the enterprise, under the guidance of the policy and its own strategic adjustment, has achieved remarkable results in its green transformation and continued to improve its performance indicators, while revealing the key paths of resource allocation optimization and green innovation.

Causal effects of promotion to managerial positions on mental health and satisfaction in Japanese male workers.

We estimated the static and dynamic effects of promotion to managerial positions on mental health and satisfaction using the recent estimation method; we addressed the gap in extant research by considering the heterogeneity in treatment timing to reconfirm evidence regarding the causal effects of promotion. We used a modified estimation method of two-way fixed effects recommended by (Callaway and Sant'Anna, J Econom 225:200-230, 2021). To check for robustness, we compared the analyses using propensity sample matching, an alternative treatment timing heterogeneity-robust analysis, and a normal two-way fixed effects event study. We used four years of complete panel data on a sample of 1454 Japanese males (5816 overall). The results indicated that becoming a manager worsened mental health with a two-year lag. We tested the effects of promotion to managerial positions on variables shown in previous studies to have negative effects on mental health (e.g., increased working hours) and positive effects (e.g., increased job role clarity) as outcomes to explore the mechanisms. Some of both variables indicate statistical significance. These results were robust. The promotion to managerial positions deteriorated mental health with a two-year lag. Promotion to managerial positions exhibited both positive and negative effects. The findings have potential implications for firms' human resources allocation.

Dentists’ views on the role orientation of dental hygienists in China: A qualitative content analysis

BackgroundA dental hygienist is an indispensable auxiliary staff in stomatology who assists people in achieving an optimum level of oral health. Despite advancements in dental medical services, our country has not yet established the position of dental hygienists. The current imbalance in the allocation of dental human resources has created a significant disparity between the demand for and supply of dental auxiliaries. By defining the responsibilities and functions of dental hygienists and establishing this position, this gap could be mitigated. The present study was conducted to explore dentists’ views on the role orientation, duty division and development situation of dental hygienists, in order to provide a reference for the establishment and training of the dental hygienist occupation in China in the future.Methods We use a descriptive qualitative design. A total of 13 dentists were selected through purposive sampling with maximum variation. Data were collected three months through semi-structured in-depth interviews and audio recorded, then carefully transcribed and analyzed using inductive content analysis approach.ResultsThis study included 13 dentists (9 males and 4 females; age 33–59 years), which was sufficient to reach data saturation. We generated three themes emerged: (a) national condition determined comprehensive paraprofessionals; (b) auxiliary personnel of multi-professional integration; (c) opportunities and challenges coexist.ConclusionExisting knowledge of the role orientation, duty division and development situation of dental hygienists in China is limited. A detailed exploration of this topic can provide guidance for the future duty division of dental auxiliary personnel and dental health care teams building.

Assessment of the importance of teleradiology services in the opinion of electroradiologists in Poland

Teleradiology is a modern service that allows for the transmission of imaging studies between facilities, clinicians, and qualified medical staff. It requires employers to meet many important legal formal criteria to properly deliver services. Teleradiology has significantly improved access to radiological services, including radiological examinations, and to specialists in narrow fields of radiology. The development of teleradiology and telemedicine, despite many benefits, also brings many risks, such as technical errors and improper service delivery. The study aims to assess the importance of teleradiology in the perception of electroradiologists who mediate in the delivery of this service, often overlooked by employers in its organization. The survey was conducted among actively practicing electroradiologists, particularly those working with teleradiology services. Electroradiologists in the study identified the advantages and disadvantages of the service, as well as various aspects related to the organization of teleradiology services. The study also aimed to raise awareness among personnel providing telemedical services. To asses the normality of distribution of the result obtained the following were used Kolmogorov-Smirnov test of normality of distribution, and non-parametric tests were used in their analysis and correlations between the some of the values. The research group (N = 344) consisted of licensed electroradiologists (N = 99, 28.8%), master's degree holders in electroradiology (31.4%, N = 108), and electroradiology technicians (N = 137, 39.8%). Of these, 276 were female (80.2%) and 68 were male (19.8%) aged 23-67 years. Surveyed electroradiologists rated teleradiology services positively. The respondents most frequently pointed out 3 advantages of teleradiology: increased service accessibility, streamlining of radiology department work, and better allocation of human resources. The most commonly mentioned disadvantages of teleradiology among respondents include the possibility of errors in radiological procedures due to the lack of direct involvement of a radiologist in supervising the examination, the absence of a real-time monitoring system for the service, and the lack of standardization of hospital information systems. Med Pr Work Health Saf. 2024;75(6):511-519.

Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem

AbstractIn the last decade, explainability has been attracting much attention in the machine learning community. However, this research topic extends beyond this field to encompass others such as operations research and combinatorial optimization (CO). This paper addresses this issue in the case of the workforce scheduling and routing problem (WSRP), a CO problem involving human resource allocation and routing decisions. We first introduce a novel mathematical framework that models the process of explaining solutions to the end‐users of a WSRP‐solving system. Then, we present original algorithmic methods to generate explanation texts employing a high‐level vocabulary adapted to such end‐users. Explanations are user‐centered, local, and contrastive. They are triggered by end‐user questions about various topics regarding a solution of a WSRP instance. Both questions and explanations are expressed as texts thanks to templates. Numerical experiments show that the algorithms generating explanation texts have execution times that are mostly compatible with the online use of explanations in an interactive system.

Innovative Discussion on Enterprise Business Administration and Human Resources Management Model in The Era of Big Data

This article discusses the innovative path of enterprise business administration and human resources management model in the era of big data. By analyzing the limitations of the traditional management model and combining the application of big data technology, the impact of management model innovation on the core competitiveness of enterprises is put forward. This article focuses on the synergy of business administration and human resources management. The extensive application of data sharing and analysis improves the operational efficiency and adaptability of enterprises, and optimizes the allocation and performance management of human resources. The big data-driven management model can effectively enhance the competitive advantage of enterprises in the rapidly changing market and provide important support for the strategic development of enterprises.

Оптимизация управления человеческими ресурсами на китайских строительных предприятиях в условиях цифровой трансформации

This article examines how Chinese construction companies can optimize human resource management to increase productivity in a digital mindset. First of all, the article highlights the main problems of modern human resource management, including outdated management concepts, irrational allocation of human resources and the lack of a scientifically based incentive system for employees. To eliminate the existing problems, the article proposes specific measures to optimize human resource management, including the development of a peopleoriented management concept, integration and optimization of human resource allocation, paying attention to work efficiency to increase employee enthusiasm, creating a system to improve the quality of employee work and a harmonious corporate culture. These measures are aimed at optimizing human resource management through digital thinking and technical means in order to effectively increase the productivity of employees of Chinese construction companies.

Study on the impact of the DRG model on human resource allocation at public hospitals

Diagnosis-related groups (DRGs) are gaining prominence in healthcare systems worldwide to standardize potential payments to hospitals. This study, conducted across public hospitals, investigates the impact of DRG implementation on human resource allocation and management practices. The research findings reveal significant changes in job roles and skill requirements based on a mixed-methods approach involving 70 healthcare professionals across various roles. 50% of respondents reported changes in daily responsibilities, and 42% noted the creation of new roles in their organizations. Significant challenges include inadequate training (46%), and coding complexity (38%). Factor analysis revealed a complex relationship between DRG familiarity, job satisfaction, and staff morale. The study also found a moderate negative correlation between the impact on morale and years of service in the current hospital, suggesting that longer-tenured staff may require additional support in adapting to DRG systems. This study addresses a knowledge gap in the human resource aspects of DRG implementation. It provides healthcare administrators and policymakers with evidence to inform strategies for effective DRG adoption and workforce management in public hospitals.

The impact of labor participation on older adults' well-being in active aging: A cross-sectional study in Hebei Province, China

The active aging model has sparked discussions about improving the participation of older adults in the workforce and their overall well-being. This has led to a greater emphasis on providing continuous learning opportunities, offering flexible work arrangements, and creating health programs specifically tailored for this demographic. Therefore, the main purpose of this study is to investigate the association between labor participation and subjective well-being and to identify important factors that influence subjective well-being in older adults. The measurement of subjective well-being encompassed two key dimensions (i.e., life satisfaction and depression). The study recruited 202 elderly individuals in Hebei Province, China, through a cross-sectional method. Our findings revealed that the percentage of elderly individuals participating in the workforce was relatively low. There was a notable positive association between labor participation and life satisfaction. Additionally, labor participation and educational attainment are found to be significantly associated with life satisfaction among older adults. In summary, the findings of this study are essential for providing ideas to promote healthy aging and optimize the allocation of human resources.

Duration of In-patient Physical Therapy at a Tertiary Hospital: Implications of a Time and Motion Study.

Inpatient physical therapy (PT) care entails careful provision of service for individuals across a spectrum of disorders needing evidence-based physical rehabilitation during their hospital admission. The main difficulty is identifying adequate time allocation for safe patient service within an eight-hour working time frame. At a selected tertiary teaching government-run hospital, an arbitrary personnel-population ratio method is used for human resource allocation which may lead to issues in service delivery and healthcare workforce wellness. Apart from patient care, physical therapists also assume non-clinical roles revolving on administration, clinical education, and research. This highlights the importance of identifying the duration of tasks to assess work efficiency and manage time constraints posed by the limitations of the work shift. Practice guidelines may help improve staff workload scheduling, however, there is a lack of available guidelines regarding physical therapy practice in the hospital or acute care setting for developing countries. The purpose of this study was to determine the duration of care for inpatients with musculoskeletal and neurological conditions and administrative tasks, and to determine the relationship of duration of care with months of experience. A continuous observation time motion study of a typical workday of all physical therapists in an in-patient setting of a tertiary teaching hospital was conducted. An external observer will time the tasks done by the PT. The external observer kept distance from the direct patient encounter to minimize interference that may affect timing. Patients with conditions of different etiologies and functional levels were included. Nineteen physical therapists with a mean experience of 54.63 months were observed. There were no adverse events during the implementation of this study. The total mean time in minutes of management of neurological patients is 37:32, and musculoskeletal patients is 28:30. Time for administrative tasks took an average of 20:33 minutes. There was also a low positive correlation on months of experience and treatment duration for patients with neurologic conditions (p=0.0471). Results showed that the allocated treatment duration is determined to be sufficient for performing PT activities. The optimal number of patients to be decked can also be appropriately determined to optimize resource allocation. Our pilot study attempted to quantify the duration of PT care in an inpatient setting that caters to patients with different diagnosis and varying needs for PT management. Although descriptive statistics and a weak to insignificant correlation was seen in most of the variables, there may be some benefit in gathering more duration data across different acute care settings within the country. Our pilot time and motion study can contribute to the limited evidence of duration of inpatient care that may inform human resource allocation, deliverables prioritization, and employee wellness and development. Figures have been presented which could be the basis for future policy research for management science and resource allocation studies.

What urban public services do immigrant entrepreneurs with different educational backgrounds most value?

In national economic development, the unique geographical conditions of different regions lead to differences in the level of public services, with diverse impacts on attracting immigrant entrepreneurs with different educational backgrounds. This paper empirically analyses the impact of urban public services on attracting immigrant entrepreneurs with diverse educational backgrounds, using matching data from the 2017 China Migrants Dynamic Survey (CMDS) and the characteristics of 276 prefecture-level cities. We found that urban higher education has a significantly positive effect on attracting urban low-educated immigrant entrepreneurs. Higher education in urban areas, primary education in urban areas, and medical services have positive and significant effects on attracting immigrant entrepreneurs educated in urban areas. Higher education in urban areas, primary education in urban areas, and urban cultural services have positive and significant effects on attracting highly educated immigrant entrepreneurs from urban areas. Mechanism testing indicates that urban innovation capability and the intensity of government regulation plays a significantly moderating role in the impact of urban public services on the attractiveness of cities to urban immigrant entrepreneurs with different educational backgrounds. The research conclusions of this paper provide guidance for cities to manage the flow of immigrant entrepreneurial talent between regions through the provision of public services, optimized spatial allocation of human resources, balanced regional development, and higher levels of urbanization.

Capacity Planning in Paediatric Palliative and Hospice Care: An Italian Case

Although the growing demand for healthcare services has enhanced the occurrence of inefficiencies in care provision, healthcare systems should ensure safe, timely and equitable access to care. In particular, the long waiting lists, the lack of beds, and the shortage of healthcare workforce have highlighted the necessity to effectively manage and strategically plan the available resources. Capacity Planning (CP) contributes to determine what, when, where and how much product or service to deliver, with the goal of analysing and optimizing the use and allocation of human and material resources (e.g., physical spaces, equipment, beds, workforce) based on the demand. CP demonstrates to be extremely relevant for hospital units to schedule appointments, diagnostics, surgeries and admissions. Complex contexts and broader healthcare networks could benefit even more from this approach, helping to coordinate multiple care providers and aligning the available resources with the demand pace. The current research presents the implementation of CP in the context of Paediatric Palliative and Hospice Care (PPHC), delivered in an Italian facility. PPHC provides long-term, interdisciplinary and coordinated care between territorial, ambulatory and hospice services. It encompasses follow-up activities, parental training, end-of-life and respite care. In the Italian case analysed, the shortage of beds affects the quality of care delivered to these patients, in terms of accessibility to the service, effectiveness and timeliness of care. Hence, a CP analysis has been performed to pursue a twofold objective: a) to understand if the current capacity of the facility meets the demand for care; b) to improve productivity through an optimized allocation of resources, particularly the available beds and the healthcare workforce. The expected results involve a more effective use of resources, an increased bed occupancy rate and a reduction in rescheduled admissions due to inadequate planning. Optimizing capacity in this specific setting can serve as a pilot project for other similar contexts, aiming to improve patients’ access to healthcare services, their quality of life and supporting the workforce involved in PPHC. This research offers new insights from both the academic and managerial point of view, providing evidence about the implementation of CP in complex healthcare settings.

Multi-agent model-based intensification-driven tabu search for solving the dual-resource constrained flexible job shop scheduling

ABSTRACT In today's rapidly evolving manufacturing landscape, the efficient allocation of human resources is crucial for optimizing production systems. This paper addresses the dual resource-constrained flexible job shop scheduling problem (DRCFJSP) by implementing a Multi-Start Tabu Search-based Multi-Agent Model (MuSTAM). MuSTAM considers a set of initial solutions that are run in parallel using an intensification technique. The main objective of MuSTAM is to reduce the completion time (makespan), which is an important metric in workshops. The proposed model is composed of two classes of agents: a supervisor agent named MainAgent and a set of tabu search agents called TabuAgents. The MainAgent launches the system, collects inputs, generates the initial population, creates TabuAgents based on the number of solutions in the initial population (PopSize), and displays the best solution. Each TabuAgent receives a solution from the initial population and then conducts a concentrated search around its neighbourhood space by applying the intensification technique of tabu search. TabuAgents cooperate and communicate with each other to enhance search quality. Numerical tests are performed during the experimental phase to compare MuSTAM with ITS based on well-known benchmark instances of the DRCFJSP. The results demonstrate that MuSTAM is effective in terms of makespan and CPU time.

The allocation and fairness of hospital pharmacist human resources in China: a time-series study

BackgroundTo address the rational use of medicines in healthcare institutions, the Chinese government enacted legislation for pharmacists in 2021, emphasizing the importance of pharmacists in medical services. The allocation and equity of pharmacist human resources in healthcare institutions directly affect people’s accessibility to pharmaceutical services. The study aims to analyze the supply and demand of pharmacist human resources in Chinese healthcare institutions and evaluate the equity of their distribution to provide a reference for the rational management of pharmacist resources.MethodsThis was a time-series study that was conducted using data obtained from Health and Health Statistical Yearbook that is performed every year by the National Health Commission of the People’s Republic of China. The study included 31 provinces, municipalities, and autonomous regions and 34,354 medical institutions in mainland China, which were classified into different economic regions based on their level of economic development. The study collected healthcare technicians and pharmacist data from national healthcare institutions between 2016 and 2020. The study evaluated the level of pharmacist human resource allocation using the health resource density index. The study explored the equity of pharmacist human resource allocation from two aspects: population and geographic area, using the Gini coefficient and Theil index.ResultsThe average annual growth rates of healthcare technical staff and pharmacists in Chinese medical institutions from 2016 to 2020 were 5.67% and 3.03%, respectively. The Gini coefficients of healthcare personnel resources based on population distribution were all below 0.119, while those based on geographical area were all above 0.655. The total Theil indexes of pharmacist human resources based on population distribution were all below 0.010, while those based on geographical area were all above 0.511. In addition, the contribution rates of the within-group Theil indexes of pharmacist human resources based on population and geographical area distributions to the total Theil index were all greater than or equal to 50%.ConclusionsThe allocation level of pharmacist human resources in China continues to improve, but there are differences in different economic development areas. Currently, allocation based on population shows equity, but allocation based on geographic area shows inequity. In the future, more attention should be paid to the geographic accessibility of pharmacist human resources, and resource allocation should consider both the population served and geographic area.

Performance Shortfall, Top Management Team Faultlines, and R&D Investment: Evidence from China

With the increasing uncertainty of the world economic situation, enterprises are facing the pressure of downward performance, and R&D has been an important strategic choice to solve the performance fall problem of high-tech enterprises. The article tries to explore the changes in the R&D investment intensity of enterprises under different performance lag levels and investigate the influence of the combination of characteristics of top management team(TMT) members on the strategic decision-making process. It is found that the relationship between the degree of performance disparity and R&D investment intensity is inverted U-shaped; the strength of the fracture faultline of the top management team negatively regulates the relationship between the degree of performance disparity and R&D investment and makes the inverted U-shaped curve flat. A further study of specific characteristic fracture bands revealed that team fracture bands based on tenure characteristics had a significant negative moderating effect, while professional and functional background fracture bands had a significant positive moderating effect. This study not only theoretically expands the understanding of the performance shortall and TMT disconnection on the deep-seated motivation of enterprise R&D investment, but also provides practical references for solving the problem of performance gap, optimizing the allocation of TMT human resources, and rationally promoting enterprise R&D investment to achieve transformation.

Improvement of Optimal Human Resource Allocation Algorithm Based on Deep Latent Semantic Model

With the advances of technology, the banking industry faces the challenge of processing large-scale, heterogeneous human resource data. Traditional methods have difficulties in providing efficient and accurate analysis and prediction. This paper proposes an optimized human resource allocation algorithm based on deep latent Semantic Model (DLSM), which improves the accuracy and efficiency of data analysis by integrating deep neural network (DNN) and transfer learning technology. The experimental results show that the DLSM model performs well in text classification and information retrieval tasks, with the accuracy, accuracy, recall and F1 scores improving by 7.5%, 5.5%, 6.0% and 5.8%, respectively. This study confirms the excellent performance of DLSM model in HR data processing, provides an efficient and scientifically based solution for recruitment optimization in the banking industry, and enhances the competitiveness of enterprises.

Research Dynamics of Human Resources for Community Health in China

This paper takes community health human resources as the research theme, based on the three core journals covered by China Knowledge Network as the research material, and adopts Citespace and VOSviewer analysis software to analyse the literature, aiming to reveal the laws and trends of community health human resources research and formulate sustainable development strategies. In order to make more effective use of the potential of community health human resources, it is necessary to improve the job analysis of community health human resources, achieve the coordinated allocation of community health human resources, and improve the scientific evaluation of community health human resources.

Exploring Implementation of Reasonable Adjustments in Hospitals for People With Intellectual Disability: Using a Realist Lens.

To explore the factors influencing the implementation of reasonable adjustments in hospitals for people with intellectual disability: using a realist lens. A qualitative study using a realist lens. Data collection involved one focus group interview and three semi-structured interviews with healthcare professionals working in hospital or community settings in September 2023. Data were analysed using qualitative content analysis and findings were mapped to the Context and Implementation of Complex Interventions (CICI) framework across the dimension's context, implementation and setting. Healthcare professionals support the provision of reasonable adjustments in acute hospitals as a person-centred approach to caring for people with intellectual disability. While reasonable adjustments are evident in practice, they are mostly individual-level cases with little evidence of strategic system-level implementation. The factors influencing the implementation of reasonable adjustments in practice were conceptualised using the CICI framework. Context factors spanned the domains of epidemiological (e.g., ageing population), socio-cultural (e.g., historical healthcare), political (e.g., lack of integrated care pathways) and ethical (e.g., provision of person-centred care). Implementation factors spanned the domains of strategies (e.g., leadership strategies), agents (e.g., liaison and advocacy roles) and outcomes (e.g., individual-level reasonable adjustments). The setting for the complex intervention was the acute hospital. System-level indicators for successful implementation include intellectual disability specific policies/procedures for integrated care pathways, education and awareness training for hospital staff, and leadership strategies such as the development of liaison nursing roles and the appropriate allocation of physical and human resources. A radical change is needed where implementation of reasonable adjustments in acute hospitals are broadened beyond isolated individual-level cases to system-level healthcare. This research highlights the importance of exploring the integrated dimensions of context, implementation and setting in complex interventions such as reasonable adjustments and sets foundation for further implementation research in this area. Reasonable adjustments at the system-level within acute hospitals would promote person-centred care and help address the inequities and health disparities experienced by people with intellectual disability. This research uses a realist lens to explore the factors influencing the implementation of reasonable adjustments in acute hospitals for people with intellectual disability. The factors influencing the implementation of reasonable adjustments in practice were conceptualised using the CICI framework across the dimensions of context (domains epidemiological, socio-cultural, political and ethical), implementation (domains strategies, agents and outcomes) and setting. System-level indicators for successful implementation include intellectual disability specific policies/procedures for integrated care pathways, education and awareness training for hospital staff, and leadership strategies such as the development of liaison nursing roles and the appropriate allocation of physical and human resources. This research highlights the importance of exploring the integrated dimensions of context, implementation and setting of complex interventions such as reasonable adjustments and sets a foundation for further implementation research in this area. This research adhered to the Equator research reporting guideline: standards for reporting qualitative research. A parent of a child with intellectual disability was involved in the conduct of this research, specifically in the design, data collection and preparation of the manuscript.

Cargo Volume Forecasting for Logistics Sorting Centers Based on Random Forest Model

With the rapid development of logistics industry, logistics sorting center, as a key node in e-commerce logistics network, its cargo volume prediction and personnel scheduling strategy are of great significance to improve operational efficiency and reduce costs. The purpose of this study is to deeply analyze the cargo volume data of 57 sorting centers through machine learning method, establish an accurate cargo volume prediction model, and optimize the personnel scheduling strategy based on the prediction results. In this study, we preprocess the historical cargo data, including missing value filling, time series conversion and feature construction. Then, the random forest model was used to carry out fitting analysis on the cargo volume data of different sorting centers. By comparing the evaluation indexes such as mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE), the superiority of random forest model compared with neural network, support vector regression and linear regression models was verified. This study not only improves the accuracy of cargo volume forecast, but also realizes the reasonable allocation of human resources, and provides scientific decision support for the operation and management of logistics sorting center.

How Does High-Standard Farmland Construction Affect Agroecological Efficiency—From the Perspective of Factor Endowment

Based on the factor endowment theory and the agriculture-induced technological innovation theory, this study examines the impact of high-standard farmland construction (HFC) on agricultural ecological efficiency (AEE) and sustainable agricultural development. Using empirical data from 30 provinces in China between 2005 and 2022, it explores how high-standard farmland construction techniques can enhance AEE, considering factor endowment preferences and geographical characteristics. Empirical research indicates that high-standard farmland significantly enhances AEE, particularly in the eastern region, the main grain-producing areas, and the regions with less geographical fluctuation. Additionally, agricultural innovations, capital accumulation, and land circulation reinforce the benefits of such construction, whereas labor mobility has a moderating effect. Quantile regression analyses show that the impact of HFC on AEE initially increases and then diminishes, potentially due to inadequate post-management and maintenance. Consequently, the study recommends that the government enhance policy support and supervision for high-standard farmland projects, integrate agricultural technology with capital accumulation, optimize human resource allocation, guide labor mobility, and reform land transfer systems to boost AEE and sustainability.