Payment Rates Research Articles

Personalized messaging enhances hospital debt collection while prosocial appeals fail: Evidence from a field experiment.

This study aimed to understand how different communication strategies influence patients' behaviour in paying unpaid hospital bills. The research focused on a healthcare system where patients have to pay a significant portion of their medical costs out-of-pocket. The research was conducted in collaboration with a debt collection agency in Latvia. The field experiment involved 9196 individuals with unpaid hospital bills. These individuals received randomly assigned reminders through mobile text messages and e-mails. The study compared the effectiveness of personalized messages, which included the recipient's name, with generic reminders and messages that appealed to social norms or public good contributions. The findings revealed that personalized messages, specifically those that included the recipient's name, significantly improved payment rates compared with generic reminders. Conversely, messages that used social norms or public good appeals did not have a significant impact on payment rates. The study highlights the importance of personalized communication strategies in improving hospital debt collection. Even simple, cost-effective modifications in communication, like adding the recipient's name, can significantly enhance payment compliance. This approach not only keep the financial books of healthcare providers balanced but also suggests that personalized strategies can be extended to other areas of healthcare management. However, while these findings are promising, they indicate that more personalized and nuanced communication strategies are needed to address the broader issue of unpaid hospital bills effectively.

Public Debt and Infrastructural Development in Nigeria; An Empirical Investigation

This study examines the impact of public debt on infrastructural development in Nigeria from 1990-2022, as debt load has become one of the most critical impediments limiting recovery and growth on the continent, but if these debts both internally and externally sourced are being channelled and utilized effectively to improvement of public infrastructure might influences level of the economy, hence contentious in macroeconomics theories. Relying on data from the World Bank Development Indicators and the outcome of various pre-estimation tests ; the Augmented Dickey Fuller and Phillip Peron method were employed to determine the stationarity trend in the data, the correlation analysis to test the relationship between the variables, the study adopted the Auto Regressive Distributive Lag Model (ARDL) estimation technique to determine the relationship between public debt (proxied by domestic debt and external debt) and capital expenditure a proxy for public infrastructure in Nigeria. The long-run results revealed that external debt and internal debt is insignificant but have positive impact of capital expenditure in Nigeria, which implies the misallocation of funds to the development of infrastructures in the country. The study further revealed that the debt service payment and Inflation rate has negative impact of the capital expenditure at the current Lag but has positive association at Lag 1 and not statistically significant at both Lag. The study conclude that public debt positively impact infrastructural development in Nigeria. The research recommend that government should ensure that debts incurred are channel towards the specific and identified infrastructural productive projects and not just for solving short run problems

Economic Impact of Ambulatory Blood Pressure Monitoring Compared With Clinical Blood Pressure Monitoring: A Simulation Model.

Ambulatory blood pressure monitoring (ABPM) is considered the gold standard for proper diagnosis of hypertension. Yet, access to ABPM in the U.S. is limited, and the extent of coverage by commercial health plans remains uncertain, potentially limiting access to ABPM among commercially insured patients. This study aims to assess the net cost impact of using ABPM in comparison to clinical blood pressure monitoring (CBPM) in the U.S. over a 5-year time period. Using a Markov Model, we estimate the 5-year cumulative cost impact of using ABPM to confirm a prior diagnosis of primary hypertension using CBPM to avoid treatment for white-coat hypertension (WCH) in a hypothetical cohort of 1000 patients from a U.S. healthcare system perspective. The probability and cost inputs for the model were derived from available literature. Base-case model parameters were varied to account for different scenarios. Base-case results indicate using ABPM instead of CBPM over 5 years saves a total of $348,028, reflecting an average per-person-per-year (PPPY) cost saving of $70. In sensitivity analyses, almost all cases reveal ABPM as a cost-saving approach compared to CBPM, with cost savings reaching up to $228 PPPY in the highest hypertension treatment cost model. Regression results reveal that ABPM was cost-saving compared to CBPM if ABPM annual payment rates are $100 or less and annual hypertension treatment costs are ⩾$300. The potential cost-savings of using ABPM instead of CBPM found in our simulation model underscores the need for confirmatory research using real-world data to support increased use of ABPM as the standard diagnostic approach for hypertension.

Impact of Site-Neutral Payments for Commercial and Employer-Sponsored Plans.

Site-neutral payment is a policy created by federal rule making and implemented by the Centers for Medicare and Medicaid Services (CMS) that aims to reduce healthcare costs by aligning payment rates for certain services provided in multiple care settings. Site-neutral payments are intended to eliminate the incentive for providers to acquire facilities, such as physician offices or ambulatory surgical centers (ASCs), that Medicare reimburses at the lower non-facility rate and convert those settings into hospital outpatient departments (HOPDs), where Medicare reimburses at the higher facility rate. Although initiated by Congress to address payment disparities in Medicare, similar payment discrepancies can be seen in the commercial market where individual and employer-sponsored health plans often pay more for certain outpatient services depending on their location. This analysis presents a simulation of the impact of applying site-neutral payments to the commercial market with respect to overall potential savings for consumers, health plans and the federal government. To conduct the analysis, we use an all-payer claims data base generalizable to the United States. The analysis focused on a select group of outpatient services identified by the Medicare Payment Advisory Commission (MedPAC). We mapped the MedPAC identified 68 Ambulatory Payment Classifications (APCs), the codes Medicare uses to reimburse facilities for outpatient services, to the relevant CPT4/HCPCS codes, which the commercial market uses for billing. The potential cost savings of applying the site-neutral payment policy to the commercial insurance market to be $58 billion for year 2022. We estimate the 10-year total (2024-2033) employer market premium reduction ranges from 5.35% to 5.0% and found that those premium reductions would result in employer-sponsored insurance (ESI) tax subsidy savings of $140 billion to the federal government over a 10-year period (2024-2033).

넷이즈 클라우드뮤직과 한국의 뮤지션 지원 서비스 플랫폼 비교 분석

This study aims to compare NetEase Cloud Music with Korean musician support service platforms, to help Korean music platforms provide diverse support services for indie musicians. We analyzed the digital music markets and platform operations in Korea and China, finding that while Chinese platforms developed various revenue models in response to low payment rates and exclusive music sharing policies, Korean platforms have been less proactive, often influenced by telecom discounts/promotions. We also compared the characteristics of NetEase Cloud Music and Korean musician support service platforms, including Korea and China's music distribution methods. NetEase's musician support service offers integrated service features and more convenience and revenue channels compared to Korean platforms. Based on this, we suggest directions for Korean music platforms in terms of musician support.

Implementation of Loan Accounting Treatment for New Members in CU. Canaga Antutn

Research entitled Analysis of Accounting Treatment of Member Loans in CU. Canaga Antutn, aims to build a model of the accounting treatment for recording savings formation with loans and remuneration for services provided. This can formulate systems and procedures for providing productive credit to establish control and increase the productivity of CU members. This research will benefit CU because they have an accounting treatment model and credit granting system to build controls that will become a reference for CU members. The method used in this research is a survey with a qualitative approach, conducted by interviews and observing the process of accounting treatment results that have been carried out. Then it is studied to provide a solution for CU Canaga Antutn by designing a model for CU loan accounting treatment. The results of this research show that CU. Canada Antutn does not carry out journal entries, either when disbursed funds are recorded as member loans or when the loan funds are recorded as savings. Non-performing loans, both Mangala loans and productive loans, based on CU management policy, Canaga Antutn, the level of smooth payments is still considered smooth, with a range between 70% - 80%, with a limit of 60% - 90%. Mangala Loans Smooth payment rates from 2019 to 2022: 66.88%, 65.62%, 72.60% and 70.62%. Productive loans 92.88%, 92.60%, 90.72% and 95.35%. The credit disbursement control system and non-performing loans information system are still weak, and there is no analysis of the age of receivables.

Who is most affected by carbon tax? Evidence from Chinese residents in the context of aging

Previous research on the distributional effects of carbon tax has primarily focused on different income groups, with less examination of different age groups. Nevertheless, significant differences in the effect of carbon tax are expected for different age groups, particularly for the vulnerable elderly. Based on detailed data regarding the consumption patterns, this study first investigates direct and indirect emissions for different age groups of residents. And then we analyze the distributional effects of carbon tax on residents of different ages and income groups using an input–output price model. The results show that the indirect carbon payment burden rate on the elderly (i.e., the proportion of carbon tax expenditure in total expenditure) is 1.2 times that of the general population. The combined impact of income and age on comprehensive indirect carbon payment rates is estimated to be 1.4 times that of the general people, showing that the carbon tax exacerbates the energy poverty of low-income seniors to a greater extent. In addition, supportive measures can effectively reduce the carbon tax cost burden of the elderly and low-income residents. Even if the carbon tax is levied more vigorously, it can still enhance the ability of vulnerable groups to overcome negative energy shocks.

Research on the classification and application of precision marketing based on big data e-commerce platforms

Abstract This paper proposes and improves the traditional K-means algorithm, utilizes the HC-Kmeans algorithm to deeply analyze the marketing status quo of the M e-commerce platform, and constructs the overall framework of precision marketing based on big data technology. The RFM model is used to measure customer value and segment customer behavior. Formulate marketing strategies that correspond to the consumption habits and preferences of different categories of users. The data from 40 consecutive days of observation is used to verify the precision marketing effect of the A/B testing method, and the final results show a good improvement in the click rate, order rate, payment rate, and order amount. During the Double Twelve Shopping Festival, compared with the traditional mode, the payment amount of M Company’s product recommendation increased by 64,604 yuan, and the order increased by 301 units, so the implementation of the precision marketing strategy was effective.

NURSING HOME WORKFORCE CHALLENGES: INCREASED NURSING STAFF LABOR COSTS AND USE OF AGENCY STAFF FROM 2017 TO 2021

Abstract Nursing homes face rapidly increasing wages and change their input mix as they face workforce shortfalls. For 15,959 freestanding NHs from 2017-2021, the proportion of hours worked by agency staff and the median wage cost per hour of agency and directly employed nursing staff were calculated from Medicare cost reports and Payroll-Based Journal data. The median hourly wage cost of directly employed staff (wage and fringe) increased 18.1% for RNs (to $41.99 in 2021), 19.8% for LPNs ($32.29), and 27.5% for CNAs ($19.62). The median hourly wage cost of agency staff (amount paid to staffing agency) increased at a faster rate and was substantially higher: 22.8% for RNs ($64.19); 28.3% for LPNs ($52.42), and 34.9% for CNAs ($33.73). The use of agency staff increased, starting from approximately 2% of all nursing staff hours for each of the nursing staff types in Q1 2017 to 5.6% hours for RNs, 9.4% hours for LPNs, and 8.8% hours for CNAs in Q4 2021. These observations have implications for quality and access to nursing home care. High use of agency staff may affect quality of nursing home care, and substantial wage differences between agency and directly-employed staff may affect worker satisfaction and attachment of directly employed workers. Hourly wage costs for all nursing staff have increased more rapidly than nursing home revenues, which only increased 16.6% over the study period; this suggests that, without payment rate increases, nursing homes may reduce labor inputs to contain costs, or may go out of business.

Impacts of information asymmetry on users' payment rates: evidence from trading data of Chinese knowledge payment platform

PurposeThis paper aims to clarify the impact of information asymmetry on users' payment rates and examine the role of perceived uncertainty (PU) and acceptable price (AP) in the relationship between information asymmetry and users' payment rates.Design/methodology/approachTo test the influences of information asymmetry on users' payment rates, this paper collects 18,489 transaction data from the Chinese knowledge payment platform Zhihu with a Python crawler. This paper constructs a mediation model to define the relationship between information asymmetry and users' payment rates by introducing PU and AP as the mediators.FindingsInformation asymmetry negatively affects users' payment rates. In addition, PU and AP mediate the information asymmetry in users' payment rates bond.Research limitations/implicationsThis study only explores the mediators of the information asymmetry users’ payment rates bond, ignoring the effect of potential moderators, which would be an important direction for future research.Practical implicationsThe findings of this paper suggest that information communication is essential in knowledge market transactions. Knowledge providers, as well as knowledge platforms, should enhance information exchange with consumers in order to increase product sales.Social implicationsThis paper provides a new perspective for understanding how information asymmetry affects users' payment rates and helps to guide suppliers to improve product quality. The research framework of this paper is universal to a certain extent.Originality/valueThis paper is one of the first to propose using PU and AP to construct a mediation model to study the information asymmetry between users' payment rates relationship. It provides a new perspective for understanding the channel of information asymmetry in customer behavior.

PP47 Experience And Its Implication For Reassessment Of The Transcatheter Aortic Valve Implantation Using Real World Data

IntroductionSouth Korea has introduced conditionality to coverage decisions for certain difficult or high-risk procedures. The transcatheter aortic valve implantation (TAVI) was included in the coverage with evidence development (CED) in 2014. This study reviewed the results of reassessment for the TAVI using real world data (RWD) and suggested its implications.MethodsHealthcare providers authorized to use the promising technologies are required to collect the RWD for suitability evaluation, safety monitoring, and cost-effectiveness, differing from the general reassessment process. In 2021, 45 healthcare providers collected clinical information for TAVI patients. Their registries were linked with the national health insurance claims, which provided data on 19 items to assess safety and effectiveness such as overall mortality, reoperation rates, hospital readmission rates, and degree of functional improvement.ResultsAccording to the Society of Thoracic Surgeons’ predicted risk of mortality (STS), 988 TAVI patients were classified into three groups; high (STS >8 percent, n=347), intermediate (STS 4-8 percent, n=272), and low (STS <4 percent, n=369); We compared main outcomes and estimated survival probabilities between subgroups. Within 30 days, the overall mortality rates were 4.9 percent (high), 2.6 percent (intermediate), and 1.4 percent (low); major bleeding rates were 7.6 percent (high), 6.2 percent (intermediate),and 1.4 percent (low); incidence of new atrial fibrillation were 6.8 percent (high), 4.2 percent (intermediate), and 3.2 percent (low). Based on the quantitative results using RWD and systematic review for the safety and effectiveness, TAVI is reported to have essential benefits for high-risk group and elderly patients (>80 years). Whereas, intermediate and low-risk groups have out-of-pocket payment rates of 50 percent and 80 percent, respectively.ConclusionsThe reassessment system through RWD accumulation enabled the evidence-based evaluation for the TAVI. Based on the transition to CED for essential benefits, a systematic framework such as RWD collection from treatment commencement should be introduced to broaden RWD use for benefit management of medical technologies with uncertain levels of evidence. Therefore, this ensures overall quality of care and effective coverage in health.

COVID-19 Modifications in Public Home- and Community-Based Services for Children with Mental Health Needs.

Eleven states offer 1915(c) Home and Community Based Services (HCBS) Medicaid waivers to organize and fund programs that provide in-home and community support services to address the unique needs of children and youth with complex mental health concerns and their families. However, as the COVID-19 pandemic-imposed restrictions on community movement and school engagement were enacted, these children and youth lost in-person access to needed supports through school-based programs and professional community providers. The well documented mental health impacts of the pandemic on children and youth necessitates understanding how behavioral health programs and policies were adapted to the constraints of pandemic life for this uniquely at-risk population. This study examines and characterizes trends in modifications made to these programs. Appendix K applications amending HCBS waiver programs targeting children with serious emotional disturbances (SED) were collected from the Center for Medicaid & Medicare Services (CMS) website. In total, 33 applications from 10 states were included in the study. Utilizing a policy mapping approach, applications were coded by hand comparing text from elements in the applications across all 10 states. A summary of programchanges reported in applications was created and changes were tracked over the course of the federal public health emergency. States modified programs by adding services for waiver participants, changing the service settings allowed, removing service limit restrictions, and offering electronic/remote service delivery. All states also issued measures to either expand or retain their provider workforce, adding family members as providers, modifying experience requirements, and offering financial incentives via increased payment rates or retainer payments. Modifications to mental health assessment processes ranged from changing the evaluation tools or documentation requirements, extending deadlines, and allowing for remote evaluations. Service plan development processes were adapted by allowing virtual service plan development meetings, allowing participants or representatives to electronically sign plans of care, and permitting verbal consent to begin receiving services. Documenting programmatic adjustments provides a context for further research to understand the experiences of youth, families, and providers in navigating these changes and the relative success or failures of these policies.

Examining multiple funding flows to public healthcare providers inlow- andmiddle-income countries - results from case studies inBurkina Faso, Kenya, Morocco, Nigeria, Tunisia andVietnam.

Provider payment methods are traditionally examined by appraising the incentive signals inherent in individual payment mechanisms. However, mixed payment arrangements, which result in multiple funding flows from purchasers to providers, could be better understood by applying a systems approach that assesses the combined effects of multiple payment streams on healthcare providers. Guided by the framework developed by Barasa etal. (2021) (Barasa E, Mathauer I, Kabia E etal. 2021. How do healthcare providers respond to multiple funding flows? A conceptual framework and options to align them. Health Policy and Planning 36: 861-8.), this paper synthesizes the findings from six country case studies that examined multiple funding flows and describes the potential effect of multiple payment streams on healthcare provider behaviour in low- and middle-income countries. The qualitative findings from this study reveal the extent of undesirable provider behaviour occurring due to the receipt of multiple funding flows and explain how certain characteristics of funding flows can drive the occurrence of undesirable behaviours. Service and resource shifting occurred in most of the study countries; however, the occurrence of cost shifting was less evident. The perceived adequacy of payment rates was found to be the strongest driver of provider behaviour in the countries examined. The study results indicate that undesirable provider behaviours can have negative impacts on efficiency, equity and quality in healthcare service provision. Further empirical studies are required to add to the evidence on this link. In addition, future research could explore how governance arrangements can be used to coordinate multiple funding flows, mitigate unfavourable consequences and identify issues associated with the implementation of relevant governance measures.

Lightning Network Economics: Channels

Compared with existing payment systems, Bitcoin’s throughput is low. Designed to address Bitcoin’s scalability challenge, the Lightning Network (LN) is a protocol allowing two parties to secure bitcoin payments and escrow holdings between them. In a lightning channel, each party commits collateral toward future payments to the counterparty and payments are cryptographically secured updates of collaterals. The network of channels increases transaction speed and reduces blockchain congestion. This paper (i) identifies conditions for two parties to optimally establish a channel, (ii) finds explicit formulas for channel costs, (iii) obtains the optimal collaterals and savings entailed, and (iv) derives the implied reduction in congestion of the blockchain. Unidirectional channels costs grow with the square-root of payment rates, while symmetric bidirectional channels with their cubic root. Asymmetric bidirectional channels are akin to unidirectional when payment rates are significantly different, otherwise to symmetric bidirectional. This paper was accepted by Joshua Gans, business strategy. Funding: Partially supported by SFI (16/IA/4443, 16/SPP/3347), Columbia-IBM Center for Blockchain and Data Transparency, Chaire Fintech at University Paris Dauphine—PSL, Algorand Foundation, and Simons Institute.

Financial Impact of Imaging Examination Site of Service in the Medicare Population.

The financial sustainability of the US healthcare system is a growing concern in an environment of declining reimbursement and rising costs. Variable Centers for Medicare and Medicaid (CMS) reimbursement and denial rates for specific imaging examinations exist across sites of service, adding complexity to financial planning for healthcare organizations. Understanding the financial implications of site of service in existing CMS reimbursement for imaging may be of strategic importance for organizations going forward. Current Procedural Terminology (CPT) codes were obtained for common cross-sectional imaging examinations using the 2022 CMS Medicare Physician Fee Schedule. Using reimbursement rates with historical volumes and denial rates, a simulation was created to estimate the overall reimbursement of paired hospital outpatient departments (HOPD) and free-standing office (FSO) sites. A baseline simulation was performed with random allocation of imaging examinations between sites of service, and an optimized simulation was performed to estimate the maximum financial impact of targeted allocation between sites. These simulations were performed for paired CT and MR scanners separately. For CT, the baseline simulation estimated annual average reimbursement for combined HOPD and FSO was $3.25M. Reimbursement increased to $3.51M after optimized reallocation of studies between sites of service, resulting in an expected gain of $260,162 for a set of paired HOPD and FSO scanners. For MR, the same approach resulted in baseline reimbursement of $2.51M, increasing to $2.60M upon reallocation between sites for an expected gain of $87,532. Assuming a stable cost of service delivery, this approach would result in improved margins of 8% for CT and 3.5% for MR. There were 28 CT and 19 MRI daily patient imaging appointments at each respective HOPD and FSO scanners, unchanged between baseline and optimized cases. Differences in reimbursement rates between sites were the dominant driver of increased margins at low denial rates, although denial rates became dominant at values greater than 50%. Given CMS payment and denial rate variability, optimally allocating imaging studies between sites of service may improve reimbursement for the same services delivered. Although financial incentives exist for site allocation, such decisions should require physician input to assess safety and appropriate level of care. This work contributes to an understanding of financial incentives of existing reimbursement policy and may guide future policy design towards high value care.

The economic costs of COVID‐19 in a rural Western US state

AbstractThe impact of the coronavirus disease‐2019 (COVID‐19) pandemic has been felt worldwide. While the United States appears to be on path to recovery, the economic burden and rising medical care expenditures associated with the pandemic remains in the trillions of dollars. Utilizing data from the US Department of Health and Human Services and FAIR Health, this study estimates the economic burden of COVID‐19 for Idaho was estimated through assessment of direct medical costs and indirect costs for years 2020–2021. Total direct medical hospital costs associated with COVID‐19, among adults, were estimated as the sum of hospital costs associated with inpatient visits. The cost of testing was included in the direct cost assessment, with data from the Idaho Division of Public Health and Medicare Administrative Contractor payment rates. To determine indirect absenteeism costs, daily cases were multiplied by 7 to account for days of missed productivity; this number was then multiplied by an employment‐adjusted average daily wage to obtain a lost productivity dollar value. Lastly, premature mortality costs were estimated based on the lost value of future earnings. Results show that in 2020, the associated direct and indirect costs of COVID‐19 amounted to over $608 million and increased to over $1.3 billion in 2021 for the state of Idaho. As the pandemic lingers on with new variants and mutations, rising costs will continue to place a heavy burden on many Idahoans, who are already often face disparate health outcomes and access to health care.

Revenue/cost production sharing contract (psc) fiscal regime on marginal gas fields in Malaysia: Case study

Despite the increasing global demand for natural gas, there are many marginal oil and gas fields that lie idle and are not developed mainly due to the uneconomic feasibility of the project. One of the main factors hindering the monetization of these small fields is the unfavourable fiscal conditions. This is the main reason why many potential marginal fields that do not meet the economic criteria required for commercial development are stranded. Thus, this paper aims at assessing the existing Revenue/Cost (R/C) Production Sharing Contract (PSC) fiscal regime on marginal gas fields in Malaysia via sensitivity and scenario analysis studies. It is found that reduction in cost of capital, tax rate or other PSC payments parameters helps to improve the NPV however the analysis shows the R/C tranches consists of cost recovery limit, excess cost recovery and profit-sharing percentage are the significant factors driving the cash flow.

Transition to telehealth during COVID had minimal impact on payment rates

The availability of telehealth indisputably preserved access to mental health care for many individuals during the COVID‐19 pandemic, but the impact that telehealth has had on cost has remained less clear. A new analysis released by KFF (formerly known as the Kaiser Family Foundation) suggests that private insurance payment rates for telehealth services in mental health continue to be similar to rates for in‐person treatment.

Experiences of a lady worker: class, gender, and labor in Sylvia Townsend Warner’s Lolly Willowes (1926)

ABSTRACT Sylvia Townsend Warner took rather a dim view of her first piece of published writing, an account of working in a munitions factory published in Blackwood's Magazine in February 1916. Looking back in 1939, she expressed not only aesthetic but also political distaste for the article. It was “youthfully precious” and written by a lady worker unwittingly co–opted into a scheme “devised to avoid the payment of overtime rates to the regular workers.” This article scrutinizes Warner's Blackwood's article, situating it in the context of contemporary debates about women's war work and considering how Warner's experiences of factory work informed her early thinking about the intersections of labor, class, and gender. These are themes that co–animate Warner's work of the 1920s and the second half of the article offers a reading of her first novel Lolly Willowes (1926).

Рентный подход как метод повышения эффективности лесной отрасли

The subject of the research in this paper is the pricing system in the forest complex; essences and classifications of approaches to pricing are considered and analyzed. The purpose of the study is to analyze the currently existing pricing system efficiency in the forest industry, improve the system for assessing forest stands using the rental approach when harvesting timber in a leased forested area. These are the main ideas of the research. Pricing is one of the most important components of the forest industry, since the role of resource price formation is not only to provide the enterprise with revenue, but should also contribute to the effective implementation of the state policy for the forest fund reproduction. This proves the need to develop a methodology that solves the issue of natural resources efficient use. A computational experiment on calculating the cost of producing round timber when renting forests for the purpose of harvesting timber makes it possible to identify rent that contributes to a more rational use of the forest fund. In the field of forestry, various approaches to pricing are used such as comparative, costly, profitable, systemic, mathematical and rental ones. Pricing in the forest industry implies the presence of three economic components necessary for the implementation of an effective state policy, namely the social component, reproduction and innovation. A computational experiment on calculating the cost of a standing crop on a forest plot located on the territory of the Yambatorsky district forestry of the Mari-Turek forestry in the Mari El Republic showed that the natural rent makes up 27,6 %, and taking into account the standard profit, the rent totals 39,7 %. The relative value of the minimum payment rates for standing crop for the trial forest area is 1,5 % of the market value of the assortments. The result of the study is to develop measures aimed at improving the efficiency of the pricing system. The proposed approach to calculating the cost of standing crop as a whole will allow taking into account the main rent-forming factors and increasing the efficiency of forest management from the point of view of the state policy, as well as establishing equal economic opportunities for forest users.