STATISTICAL ANALYSIS OF THE RECEIVABLES OF ENTERPRISES OF HOUSING AND COMMUNAL SERVICES: ACCOUNTING SUPPORT

Author:

Kutsyk PetroORCID

Abstract

The branch characteristics of activity of the enterprises of housing and communal services are defined with features of management of receivables: its absence of alternative concerning partially rendered services to consumers that would directly influence reduction of incomes of the enterprise of housing and communal services; its impossibility of resale of services, lack of clear control over the quality of services provided and its price, which leads to dissatisfaction with the social needs of the population; its lack of flexible discounts for honest payers of housing and communal services. The analysis of the structure of receivables of the population for the consumed housing and communal services of the enterprises of the Lviv region during April-August 2020 is carried out. It is established that the use of inefficient methods of housing management leads to low payment discipline of buyers, which contributes to the deterioration of the financial condition of the industry as a whole. Therefore, methods of accelerating the payment of receivables with appropriate reporting on the quality of services provided should be actively used. The dynamics of the amount of funds for which agreements on debt restructuring for housing and communal services have been concluded, and the amount repaid by consumers-debtors indicates increased activities on concluding contracts and gradual repayment of debts by consumers. In case of overdue receivables for housing and communal services, the consumer should be reminded of the need to pay the debt in different ways. These are in the form of a re-receipt, correspondent (send by registered mail on demand), SMS, or call, or direct visit of the housing and communal services department representative to the service object, and finding out the cause of existing receivables, the order of criteria for their classification into doubtful and bad types of receivables. The purpose of the research is to identify sectorial characteristics of housing and communal services, which determine the features of receivables management and improve the methodology of statistical analysis of receivables to identify causes of late payment of housing and communal services and ways to motivate consumers to repay debts. Methodology. The method of statistical analysis of receivables is developed to be carried out in three stages: analysis of the structure of receivables; analysis of the dynamics of receivables for communal services; analysis of the effectiveness of receivables restructuring. Results. The following stages of statistical analysis of receivables for housing and communal services are offered. Analysis of the structure of receivables to determine the types of housing and communal services for which we observe the largest and smallest share in total is proposed. Analysis of the dynamics of receivables for communal services to determine trends in indicators in the regional aspect is suggested. Analysis of the effectiveness of the restructuring receivables (provides for the calculation of the increase in the number of agreements on debt restructuring and assessment in the dynamics of repayment of these receivables) is proffered. Practical implications. We identified effective management methods of receivables of housing and communal services that improves the financial condition of the industry as a whole. Value/originality. The statistical analysis of the receivables of enterprise of housing and communal services has been further developed.

Publisher

Publishing House Baltija Publishing

Reference10 articles.

1. Kubaščíková, Z., Tumpach, M., Juhaszova, Z., Turebekova, B., & Saparbayeva, S. (2019). Contextual Non-financial Information Analysis of Annual Reports. – Registrovaný vo: Web of Science. In European Financial Systems 2019. International Scientific Conference. European Financial Systems 2019 : Proceedings of the 16th International Conference, June 24-25, 2019, Brno, Czech Republic. Brno : Masaryk University, pp. 334–344.

2. Brazhnikova, L. M. (2012). Upravlinnia vytratamy yak factor pidvyshchennia efektyvnosti diialnosti pidpryiemstva ZhKH [Cost management as a factor in improving the efficiency of diagnostics of housing and communal services]. Naukovyi visnyk Chernihivskoho derzhavnoho instytutu ekonomiky i upravlinnia. Seriia 1: Ekonomika, vol. 1, pp. 164–171.

3. Havrylenko, V. (2014). Upravlinnia debitorskoiu ta kredytorskoiu zaborhovanistiu zhytlovo-komunalhono hospodarstva rehionu [Management of receivables and payables of housing and communal services of the region]. Zbirnyk naukovykh prac Cherkaskoho derzhavnoho tekhnolohichnoho universytetu. Serija: Ekonomichni nauky, vol. 36(3), pp. 18–22.

4. Holovchenko, O. O., & Holovchenko, N. Yu. (2017). Haluzevi kharakterystyky ZhKH, shcho pryntsypovo vplyvaiut na pobudovu informatsiinykh system obliku ta kontroliu [Sectoral characteristics of housing and communal services, which fundamentally influence the construction of information systems in the form and control]. Naukovi praci Kirovoghradsjkogho NTU. Ekonomichni nauky, vol. 31, pp. 189–196.

5. Hrabodoieva, Ye. (2015). Zhytlovo-komunalne hospodarstvo miskykh ahlomeratsii: osoblyvosti funktsionuvannia ta vektory rozvytku [Housing and communal services of urban agglomerations: features of functioning and vector of development]. Skhid, vol. 5, pp. 18–22.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Concession use to improve the housing and communal services efficiency;E3S Web of Conferences;2021

2. Remote work of employees of housing and communal services enterprises in the context of the Covid-19 pandemic;I INTERNATIONAL CONFERENCE ASE-I - 2021: APPLIED SCIENCE AND ENGINEERING: ASE-I - 2021;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3