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ویرایش:
نویسندگان: Oecd
سری:
ISBN (شابک) : 9264934863, 9789264934863
ناشر: Tax Administration
سال نشر: 2019
تعداد صفحات: 236
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 3 مگابایت
در صورت تبدیل فایل کتاب Tax Administration 2019 Comparative Information on OECD and Other Advanced and Emerging Economies به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب اطلاعات مقایسه ای اداره مالیات 2019 در مورد OECD و سایر اقتصادهای پیشرفته و نوظهور نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این گزارش که هشتمین ویرایش از سری اداره مالیات OECD است، داده های مقایسه ای بین المللی در مورد جنبه های سیستم های مالیاتی و اداره آنها در 58 اقتصاد پیشرفته و نوظهور ارائه می دهد. این نشریه نتایج نظرسنجی بینالمللی 2018 در مورد مدیریت درآمد (ISORA) را ارائه میکند، یک نظرسنجی بینالمللی چند سازمانی برای جمعآوری اطلاعات در سطح ملی و دادههای مربوط به اداره مالیات که توسط چهار سازمان شریک اداره میشود: CIAT، IMF، IOTA و OECD. برای دور نظرسنجی 2018، بانک توسعه آسیایی (ADB) موافقت کرد که همراه با چهار سازمان شریک شرکت کند. این گزارش دارای سه بخش است. فصل اول شامل چهار فصل است که عملکرد و روندهای اداره مالیات را تا پایان سال مالی 2017 بررسی و اظهار نظر می کند. بخش دوم ده مقاله نوشته شده توسط اداره امور مالیاتی ارائه می کند که یک دیدگاه کشوری در مورد طیف وسیعی از موضوعات موضوعی برای اداره مالیات ارائه می دهد، در حالی که قسمت سوم شامل تمام جداول داده هایی است که اساس تجزیه و تحلیل در این گزارش را تشکیل می دهد و همچنین جزئیات دولت های شرکت کننده را تشکیل می دهد. در این گزارش
The eighth edition of the OECD's Tax Administration Series, this report provides internationally comparative data on aspects of tax systems and their administration in 58 advanced and emerging economies. The publication presents the results of the 2018 International Survey on Revenue Administration (ISORA), a multi-organisation international survey to collect national-level information and data on tax administration governed by four partner organisations: CIAT, the IMF, IOTA and the OECD. For the 2018 survey round, the Asian Development Bank (ADB) agreed to participate along with the four partner organisations. The report has three parts. The first contains four chapters that examine and comment on tax administration performance and trends up to the end of the 2017 fiscal year. The second part presents ten tax administration-authored articles providing a country view on a range of topical issues to tax administration, while part three contains all the data tables that form the basis of the analysis in this report as well as details of the administrations participating in this report.
Table of contents Preface Foreword Acknowledgements Abbreviations and acronyms Executive summary Figure 0.1. Key figures related to the administrations covered in this publication Reader’s guide Notes Part I. Comparative information on tax administration Chapter 1. The changing tax compliance environment 1.1. Introduction Box 1.1. Innovation Figure 1.1. Innovation index, 2017 1.2. Supporting positive compliance attitudes Figure 1.2. Tax gap analysis 2015 vs. 2017 Table 1.1. Taxpayer satisfaction surveys by taxpayer segment, 2017 Table 1.2. Evolution of on-time filing rates (in percent) between 2014 and 2017 1.2.1. Education and the communication of social norms Table 1.3. Selected special educational and business support initiatives, 2017 Box 1.2. Educational and communication initiatives 1.2.2. Taxpayer services Figure 1.3. Relative priorities of key aspects of tax administrations service and assistance strategy Box 1.3. Engagement with taxpayers to improve services Table 1.4. Service demand by channel Box 1.4. Approaches to meeting and managing demand Table 1.5. Provision of e-services and tools to support self-service, 2017 Box 1.5. Supporting self-service Table 1.6. Services provided via mobile applications, 2017 Box 1.6. Mobile app and tax Box 1.7. Joined-up services 1.2.3. Behavioural insights and the use of “nudges” Box 1.8. Behavioural insights in SMS campaigns in Australia Table 1.7. Outcomes of the Short Message Service (SMS) Campaigns 1.3. Compliance risk management 1.3.1. Increasing availability of data Figure 1.4. Use of third party data, 2017 Box 1.9. Use of data in large scale compliance intervention in Italy Box 1.10. Compliance and the platform economy 1.3.2. Sharpened targeting of risks Box 1.11. Use of data analytics in risk assessments Figure 1.5. Percentage of revenue collected through large taxpayer offices/programmes, 2017 Figure 1.6. Large taxpayer offices/programmes, 2017 Figure 1.7. HWNI programmes, 2017 Box 1.12. HNWI compliance strategy in Romania 1.3.3. Co-operative compliance and transparency Figure 1.8. Cooperative compliance approaches: Existence and implementation status, 2017 Figure 1.9. Cooperative compliance approaches: Features and requirements, 2017 Box 1.13. Cooperative compliance approaches Figure 1.10. Tax certainty: Routes to certainty for international tax risks 1.3.4. Automated risk management Box 1.14. Automatic checks and actions 1.4. Compliance-by-design 1.4.1. Personal income tax Box 1.15. Compliance-by-design for employees 1.4.2. Upstreaming of compliance management Figure 1.11. Electronic invoice systems: Existence and selected features, 2017 Figure 1.12. Electronic invoice systems: Usage, 2017 Box 1.16. Uninterrupted chains Figure 1.13. System architecture of the Russian OCR system Notes References Chapter 2. Responsibilities and collection 2.1. Introduction 2.2. Responsibilities of tax administrations Table 2.1. Tax types collected by the tax administration, 2017 Figure 2.1. Tax administrations wider roles, 2017 Figure 2.2. Nature of assistance provided to SSC agencies, 2017 Box 2.1. Assisting citizens in receiving benefits 2.3. Tax collections 2.3.1. Net collections by tax administrations averages 20% of jurisdiction GDP 2.3.2. Net collections by tax administrations averages 55% total jurisdiction revenue Figure 2.3. Net revenue collected as a percent of gross domestic product, 2017 Figure 2.4. Net revenue collected as a percent of total government revenue, 2016 Figure 2.5. Average net revenue collections (in percent) by major revenue type, 2017 2.3.3. Withholding at source Table 2.2. Withholding regimes for income of residents, 2017 Chapter 3. Performance of tax administration 3.1. Introduction Figure 3.1. Overview of core tax administration functions 3.2. Registration, identification and authentication 3.2.1. Levels of registration Figure 3.2. Registration of active personal income taxpayers as percentage of citizen population, 2017 3.2.2. Joined-up processes across government Box 3.1. Registration and identification 3.2.3. Identity management Box 3.2. Security, authentication and identity protection 3.2.4. Identity across borders Box 3.3. Common Reporting Standard 3.3. Assessment Box 3.4. Automatic tax assessments 3.3.1. Use of e-channels for filing and paying Table 3.1. Average e-filing rates (in percent) Table 3.2. Evolution of e-filing between 2014 and 2017 Table 3.3. Average e-payment rates (in percent) Box 3.5. New approaches for payments 3.3.2. Pre-filled returns Box 3.6. Pre-filling Figure 3.3. Categories of third party information used in pre-filled returns, 2017 3.3.3. On-time return filing Table 3.4. Average on-time filing rates (in percent) by tax type Figure 3.4. Range in on-time filing performance, 2017 Figure 3.5. PIT and CIT on-time filing rates, 2017 3.3.4. On-time payment Table 3.5. Average on-time payment rates (in percent) by tax type Table 3.6. Evolution of on-time payment rates (in percent) between 2014 and 2017 Figure 3.6. Range in on-time payment performance, 2017 Box 3.7. Paying taxes 3.4. Verification 3.4.1. Case selection Figure 3.7. Most common verification case selection criteria, 2017 3.4.2. Information and access powers Figure 3.8. Information and access powers, 2017 3.4.3. Coverage and results Table 3.7. Evolution of the average verification adjustment rate by audit type (in percent) between 2014 and 2017 Figure 3.9. Assessments raised and collections from audits Figure 3.10. PIT audit coverage, 2017 Figure 3.11. CIT audit coverage, 2017 3.4.4. Tax crime investigations Table 3.8. Management arrangements for criminal tax investigations, 2017 Box 3.8. Criminal tax investigations Table 3.9. Summary of criminal tax investigation work Box 3.9. OECD responses to tax crime 3.5. Collection 3.5.1. Collecting outstanding returns Table 3.10. Outstanding return collection, 2017 3.5.2. Collecting outstanding debt 3.5.3. Performance in collecting outstanding debt Figure 3.12. Total year-end tax arrears as a percent of total net revenue, 2017 Figure 3.13. Total year-end collectible arrears as percentage of total year-end arrears, 2017 Figure 3.14. Movement in tax arrears cases between 2016 year-beginning and 2017 year-end Figure 3.15. Range of arrears older than 12 months in relation to total arrears by tax type, 2017 3.5.4. Collection powers and their usage Figure 3.16. Powers to assist managing debt, 2017 Figure 3.17. Powers to assist collection, 2017 Figure 3.18. Powers to assist enforcement of debt, 2017 Box 3.10. Publication of names of large debtors 3.5.5. Preventive approaches Box 3.11. Preventive approaches 3.5.6. Cross-border collection Box 3.12. Locating overseas based student loan borrowers 3.6. Disputes Box 3.13. Improving timeliness in processing taxpayer objections Table 3.11. Dispute resolution review procedures, 2017 Figure 3.19. Changes in the number of cases under internal review procedures between 2016 year-beginning and 2017 year-end Figure 3.20. Changes in the number of cases under independent review by external bodies between 2016 year-beginning and 2017 year-end Figure 3.21. Number of internal review cases initiated per 1 000 active PIT and CIT taxpayers, 2017 Figure 3.22. Percentage of cases resolved in favour of the tax administration Box 3.14. Dispute Feedback Loop initiative References Chapter 4. Administrative, operational and organisational practices 4.1. Introduction 4.2. Governance arrangements for tax administrations 4.2.1. Institutional arrangements Figure 4.1. Institutional frameworks, 2017 4.2.2. Autonomy of operations Table 4.1. Authority delegated to tax administrations, 2017 Box 4.1. An “operational autonomy index” Figure 4.2. Operational autonomy index, 2017 4.2.3. Governance structures Table 4.2. Taxpayer’s rights and obligations Box 4.2. Managing taxpayer complaints Figure 4.3. Integrity strategy, 2017 Box 4.3. United States – Risk Acceptance Form and Tool Box 4.4. The “public accountability index” Figure 4.4. Public Accountability Index, 2017 4.2.4. Policy advice 4.3. Budget and information and communication technology 4.3.1. Operating and capital expenditures Figure 4.5. Salary cost as a percent of total operating budget, 2017 Box 4.5. Finding cost reductions 4.3.2. Cost of collection Box 4.6. Difficulties and challenges in using the “cost of collection” ratio as an indicator of efficiency and/or effectiveness Figure 4.6. Movement in “cost of collection” ratios between 2016 and 2017 4.3.3. Information and communication technology Figure 4.7. Development of primary ICT solutions, 2015 Figure 4.8. ICT from external/both: Product type, 2017 Box 4.7. Improving IT security 4.3.4. Outsourcing Figure 4.9. Most common administrative functions/operations that are predominantly outsourced, 2017 4.4. Workforce Figure 4.10. Double pressure on workforce Box 4.8. Supporting staff 4.4.1. Staff usage by function Figure 4.11. Staff usage by function, 2017 4.4.2. Staff metrics Figure 4.12. Age profiles of tax administration staff, 2017 Figure 4.13. Evolution of percentage of staff older than 54 years between 2014 and 2017 Figure 4.14. Average length of service vs. average age profile, 2017 Box 4.9. Knowledge management Figure 4.15. Percentage of female staff – total female staff vs. female executives, 2017 Table 4.3. Percentage of female staff (in percent) between 2014 and 2017 Box 4.10. The OECD’s Forum on Tax Administration Gender Balance Network Figure 4.16. Attrition and hire rates, 2017 4.4.3. Human resource management Table 4.4. Human resource management approaches, 2017 Box 4.11. Human resource management Figure 4.17. The E-Personnel Framework 4.4.4. Human resource autonomy Table 4.5. Human resource autonomy, 2017 4.4.5. Staff satisfaction and performance management Table 4.6. Staff satisfaction and performance management, 2017 Box 4.12. Performance management Box 4.13. Improving staff satisfaction 4.4.6. Remuneration Table 4.7. Remuneration, 2015 4.4.7. Capability Box 4.14. Improving staff capability Figure 4.18. Number of administrations with specialised positions between 2014 and 2017 Box 4.15. Specialised skills Notes References Part II. Topical issues in tax administration Chapter 5. Measuring impacts on the taxpayer’s perception of administrative burdens 1.1. Introduction Figure 5.1. Administrative activities journey Table 5.1. Responses to questions on administrative burdens by UK business customers 1.2. Customer Perceptions of Administrative Burdens 1.3. Survey to identify international best practice in reducing administrative burdens Figure 5.2. International trends in understanding and measuring customer perceptions of burdens from tax policy Figure 5.3. Common definitions of tax admin burdens by proportion of survey respondents Figure 5.4. Distribution of strategic commitments to reducing admin burdens across survey respondents 1.4. Qualitative Impacting Methodology Figure 5.5. Comparison of quantitative and qualitative admin burden methodology 1.5. Compliance Burdens Maturity Model Figure 5.6. Comparison of current and future support from tax authority across admin burden activity journey Note Annex 5.A1. The compliance burdens maturity model Maturity levels How to use the maturity model Minimising compliance burdens References Chapter 6. Educating future taxpayers: Teaching taxes to youth in Canada 6.1. Educator-led products Table 6.1. Learning about taxes 6.1.1. Teaching Taxes 6.1.2. Responsible Citizenship and Canada’s Tax System Table 6.2. Introducing Canada’s tax system 6.2. Self-learning product Table 6.3. How to do your taxes 6.3. Online tools and services 6.4. Social media channels 6.5. Back-to-school campaign 6.6. Financial Literacy Month 6.7. Conclusion References Chapter 7. Educational initiatives of the National Tax Agency 7.1. Background 7.2. Fundamental policy 7.3. Project structure for promoting tax education 7.4. Overview of tax education promotional measures 7.4.1. Dispatching of NTA staff as lecturers to tax education classes 7.4.2. Development of supplemental text material for tax education Table 7.1. Number of tax education classes held 7.4.3. Essay contests on the subject of tax Table 7.2. Number of applicants in the tax essay contest 7.4.4. The knowledge-enhancing activities for educators 7.5. Conclusion Notes Reference Chapter 8. Strategies for understanding, engaging and partnering taxpayers to create a socially responsible taxpaying community 8.1. Developing an accurate and holistic understanding of taxpayers 8.1.1. Design Box 8.1. IRAS revamped its myTax Portal to improve taxpayers’ online experience 8.1.2. Analytics Box 8.2. Text mining to analyse taxpayers’ email enquiries 8.2. Engaging taxpayers in the right way and at the right time Box 8.3. The service mantra of IRAS 8.2.1. Digitalisation Box 8.4. Virtual Assistant “Ask Jamie” Box 8.5. Introducing an instantaneous tax assessment process 8.2.2. One Public Service Box 8.6. One Public Service 8.3. Engaging taxpayers as partners 8.3.1. Co-creation opportunities Box 8.7. Application Programming Interface Marketplace 8.3.2. Taxpayer representative bodies Box 8.8. The Taxpayer Feedback Panel 8.4. Monitoring and making continuous improvements Box 8.9. Focus group discussions and surveys Note Reference Chapter 9. “Virtual Assistant” for VAT 9.1. Background 9.2. Cooperative relationship between the Spanish Tax Agency and a multinational supplier 9.3. How does the Virtual Assistant work? Figure 9.1. Stages of the creation process of the virtual assistant for VAT 9.4. Problems faced and solutions. Figure 9.2. Extract of a decision tree 9.4.1. Duration of the design and training stage: launching in blocks 9.4.2. Expectations of the taxpayer: welcome message 9.4.3. Negative rating: audit of the conversations 9.4.4. Complex questions: supplementary tools and response from a technician 9.4.5. Maintenance and updating of the Assistant: Documentation 9.5. Results obtained and future prospects Figure 9.3. Comparative Virtual Assistant and mailbox SII 9.6. Conclusion Chapter 10. Behavioural insights for tax administration 10.1. What is behavioural insights? 10.2. Behavioural insights applied to tax administration Box 10.1. Increasing foreign income reporting Box 10.2. Moving taxpayers online and testing uplift modelling Figure 10.1. Uplift model framework Box 10.3. Encouraging tax payments through outbound calls Figure 10.2. Combining the use of predictive analytics, uplift modelling and BI interventions Box 10.4. Enhancing empathy and communication toward cooperative audits 10.3. Building capabilities for behavioural insights Box 10.5. ATO Behavioural Insights Unit 10.4. Future directions and opportunities Notes References Chapter 11. A blockchain scenario study 11.1. Introduction 11.2. Blockchains and distributed ledger technology 11.3. The scenario narratives 11.3.1. Scenario A. Dual Reality 11.3.2. Scenario B: Blocktopia 11.3.3. Scenario C: Govchain 11.3.4. Scenario D: Beyond the hype 11.4. Discussion and application Notes References Chapter 12. Compliance by design: Automatic profit tax return for freelancers – A pilot of the Netherlands Tax and Customs Ad 12.1. Introduction 12.2. A growing and diverse group of freelancers 12.3. Compliance by design: A smart accounting programme Figure 12.1. Compliance by design: a smart accounting programme 12.4. Compliance by design: Interaction with the NTCA 12.5. Compliance by design: The automatic profit tax return 12.6. Promising results 12.7. Method 12.8. Collaboration with freelancers 12.9. Collaboration with prominent software suppliers 12.10. Collaboration with other parties 12.11. What are the follow-up steps? Chapter 13. Innovations in dispute resolution 13.1. Introduction Table 13.1. ATO dispute resolution trend figures and statistics 13.2. Independent Review Table 13.2. Independent Review for Large Market taxpayers 13.3. Dispute Assist Box 13.1. Example of the use of Dispute Assist 13.4. In-house facilitation Table 13.3. In-house facilitation referrers Box 13.2. Example of in-house facilitation 13.5. Settlements 13.6. Measuring fairness 13.7. Conclusion Notes References Chapter 14. Improving the ATO staff experience: Increasing productivity and engagement 14.1. Becoming an employer of choice 14.2. Working towards 2024 14.3. Improving the staff experience Table 14.1. Framework of nine staff experience “pillars”/“lenses” 14.4. Recruitment Box 14.1. The Opening Door programme 14.5. Learning and development Box 14.2. The virtual career expo Box 14.3. Technical conference to support the development of tax law capability in the ATO 14.6. Right tools and physical workspace Box 14.4. Mobile phone application 14.7. Leadership and culture Table 14.2. Five cultural traits Box 14.5. The staff exploration day and fix-it squad initiative 14.8. Productivity and engagement benefits Figure 14.1. Average unplanned leave days – Rolling 12 months Figure 14.2. Longitudinal comparison of APS Employee Engagement Model Note References Annexes Annex A. Data tables Annex B. Participating tax administrations Table B.1. Overview of tax administrations included in this report