The agricultural issue is a focal point of concern for each country, and e-commerce assistance to farmers, as an emerging model, is gaining increasing attention. Considering this trend, this paper bases on e-commerce assistance to farmers and considers four types of government subsidies: no subsidy, price subsidy model with the farmer as the subsidy target, price subsidy model with the e-commerce platform as the subsidy target, and area subsidy model. Based on this, a game model of the contract farming supply chain involving a farmer and an e-commerce platform was established to explore the optimal decision-making in the contract farming supply chain considering various government subsidies under the background of e-commerce assistance to farmers. The results indicate that: (1) Consumer preference for supporting farmers and consumer premiums can stimulate the farmer to expand farm size, increase agricultural production, increase the purchase price of agricultural products and promote the growth of profits for the farmer and the e-commerce platform, contributing to the growth of social welfare. Output volatility can lead to a decrease in farm size and a reduction in the purchase price of agricultural products. (2) Government subsidies can support the farmer in expanding farm size and contribute to increased profits for the farmer and the e-commerce platform. However, government subsidies do not universally have a positive impact on every variable. The influence of government subsidies on the purchase price of agricultural products is contingent upon the method of subsidy distribution. Similarly, the effects of government subsidies on social welfare are influenced by factors such as price elasticity and agricultural productions per unit area. (3) From the perspectives of farm size, the purchase price of agricultural products, and profits of the farmer and the e-commerce platform, the government will have different and more targeted subsidy models, and the corresponding subsidy models are influenced by the agricultural productions per unit area. The research conclusion can provide references for optimal decision-making in contract farming under the model of e-commerce assistance to farmers.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0311490 | PLOS |
J Rural Health
January 2025
Department of Health Policy and Management, UNC Gillings School of Global Public Health, The University of North Carolina, Chapel Hill, North Carolina, USA.
Purpose: This study compares 2018-2023 Medicare Advantage (MA) days as a percentage of total Medicare days in rural and urban hospitals, describes 2022-2023 operating profitability of rural and urban hospitals by quartiles of MA days as a percentage of total Medicare days, and explores hospital characteristics that may be important for understanding the relationship between MA and profitability of rural hospitals.
Methods: Financial and hospital data were obtained from the Centers for Medicare & Medicaid Services (CMS) Healthcare Cost Report Information System (HCRIS) for the years 2018 to 2023. Hospitals were assigned to quartiles based on MA days as a percentage of total Medicare days.
PLoS One
December 2024
School of Intellectual Property, Jiangsu University, Zhengjiang, Jiangsu Province, China.
Purpose: This study aims to delineate the operating system of a strategic game model involving three core financial actors-government, banks, and guarantee institutions, with a focus on their collective impact on system evolution towards sustainable SME financing.
Methodology: Utilizing numerical simulations informed by dynamic equation constraints and optimal equilibrium states, this paper abstracts the strategic behaviors of system constituents, constructing a game model to predict and analyze system evolution within various operational contexts.
Results: The simulation experiments reveal the critical role of quality risk information and responsible actor behavior in maintaining low default rates and fostering a sustainable financial system.
J Am Acad Orthop Surg Glob Res Rev
October 2024
From the Campbell Clinic Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center (Dr. Koolmees, Dr. White, Dr. Azar, Dr. Bettin), Memphis, TN, and the Murphy Statistical Services (Mr. Murphy), Warsaw, IN.
Background: The goal of this study was to determine changes in orthopaedic coding practices between December 2020 and January 2021 after training providers on the 2021 Current Procedural Terminology Evaluation and Management (E&M) Centers for Medicare and Medicaid Services guideline changes.
Methods: Outpatient encounters in December 2020, January 2021, December 2021, and January 2023 were grouped by provider and E&M code level. The codes used for established patients were 99211, 99212, 99213, 99214, and 99215, ordered from low to high-complexity visits.
Inquiry
December 2024
Department of Economics, University of Kashmir, Srinagar, India.
This study investigates the relationship between out-of-pocket (OOP) healthcare spending, economic growth, population growth, and government health expenditure as a proportion of general government expenditure using National Health Accounts (NHA) estimates. Out-of-Pocket (OOP) healthcare spending imposes a substantial financial burden on households, especially in developing economies such as India. Understanding the factors that influence OOP payments is crucial for policymakers seeking to enhance healthcare systems and achieve Universal Health Coverage (UHC).
View Article and Find Full Text PDFBMC Public Health
December 2024
Medical Clinic Department, Federal University of Paraná (UFPR), Curitiba, Brazil.
Background: Disability insurance represents a significant economic burden within Brazil's social security system, yet long-term cost trends across disease groups remain understudied, hindering informed prevention and management strategies. Hospital costs, which account for approximately 40% of direct healthcare expenses, were selected as a comparative reference to contextualize the economic burden of disability insurance.
Objective: This study analyzes long-term cost trends of newly granted disability insurance by disease groups in Brazil, comparing them to public health system hospitalization expenses.
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