赞比亚地方政府自有收入(OSR)低的促成因素分析:穆钦加省案例研究

Naaman Mwale, C. Hapompwe
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引用次数: 0

摘要

本研究旨在分析造成赞比亚穆钦加省地方政府(LAs)自筹收入(OSR)偏低的因素。这项研究有三个目标:审查支持地方当局收取自有来源收入的现行法律;评估地方当局的收入收取方法及其效率;设计一个用于改善穆钦加省和其他地区地方当局自有来源收入的模式。本研究使用了通过个性化问卷和深入访谈获得的原始数据。利用 "调查僧侣"(Survey Monk)公式,目标人群为 1,000 名地方当局雇员、公民领袖以及向各自地区地方当局纳税的中小型企业(SMEs)的当地企业主,从中获得了 300 个样本量。答复率为 66%。研究采用了随机抽样和目的性抽样技术。研究结果表明,立法框架、措施和补救办法不足以提高地方当局的税收,这些地方当局在创收方面主要依赖于立法框架、措施和补救办法。调查结果表明,受访者和受访者认为,地方政府的税收策略并不合适。受访者还表示,评估税收的方式或方法根本无效,因为地方当局主要通过公开会议评估现有税收的有效性,而创收战略和动员模式的程度被认为很差。研究结果清楚地表明,地方政府的税收工作并不有效,因此,地方政府有必要审查现有立法、税收动员方法,并设计一种能够加强其管辖范围内税收工作的模式。因此,研究强烈建议,需要协调或审查支持税收的法律框架,使地方当局能够充分发挥其在 OSR 方面的潜力。研究还建议,地方当局应将其所有收入来源计算机化,以最大限度地减少繁文缛节、收入偷窃/流失以及收入征收和会计方面的腐败。研究还建议采用国际公认的税收和非税收入管理诊断评估工具(TADAT)框架作为起点,该框架侧重于九个关键绩效成果领域,涵盖了大部分创收、管理职能和流程。这些领域包括登记收入数据库的完整性、有效的风险管理、支持自愿合规、及时申报、及时支付、准确报告、有效解决争议、高效的收入管理以及问责制和透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis of Contributory Factors to Low Own Sources Revenue (OSR) in Local Authorities in Zambia: A Case Study of Muchinga Province
The study aimed at analysing contributory factors to Low Own Sources Revenue (OSR) in Local Authorities (LAs) in Zambia case studying Muchinga Province. The study was guided by three objectives which were: to review the existing legislation that supports the Local Authorities to collect their own source revenue; to assess the Local Authorities' revenue collection methods and their efficacy, and to design a model to be used to improve the Local Authorities’ own source revenue in Muchinga Province and other regions. The study used primary data which was obtained by means of individualized questionnaires and in-depth interviews. Using the Survey Monk formula, the targeted population was 1,000 of the local authority employees, civic leaders, and local business owners of small and medium-sized enterprises (SMEs) that pay taxes to the local authorities in their respective districts from which the sample size of 300 was obtained. The response rate was 66%. Random and purposive sampling techniques were used. The findings of the study revealed that the legislative frameworks, measures, and remedies were not sufficient in enhancing revenue collection by local authorities and that these local authorities largely dependent on the legislative framework, measures and remedies in revenue generation. The findings further showed that there was a belief among the respondents and interviewees that the revenue collection strategies were inappropriate for the local authorities. The interviewees also stated that the manner or method of assessing revenue collection was not effective at all as the local authorities mainly assessed the existing revenue collection’s efficacy through open meeting with the extent of revenue generation strategies and mobilization model being perceived to be poor. The results of the study clearly showed that local authorities are not effective in their collection of revenue and as such there is need for the local authorities to review existing legislation, methods of revenue mobilization and design a model that can enhance revenue collection in their Jurisdiction. Therefore, the study strongly recommended that the legal framework supporting revenue collection needed to be harmonized or reviewed to allow the Local Authority to exercise its full potential in OSR. The study further recommended that local authorities be computerized in all its revenue sources to minimize red tapeism, revenue pilferages / leakages, and corruption in revenue collections and accounting. The study further recommended the adoption of the internationally accepted Tax Administration Diagnostic Assessment Tool (TADAT) framework for Tax and Non-Tax Revenue Administration which should be the starting point, which focuses on nine key performance outcome areas that cover most revenue generation, administration functions, and processes. These areas include integrity of the registered revenue data base, effective risk management, supporting voluntary compliance, timely filing, timely payment, accurate reporting, effective dispute resolution, efficient revenue management, and accountability and transparency.
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