CC BY
35I Journal of Siberian Federal University. Humanities & Social Sciences 2020 13(11): 1710-1722
DOI: 10.17516/1997-1370-0677 УДК 336.02; 331.5
Adjusting Tax Policy to the Challenges
of Digitalization, Inequality
and Technological Unemployment
Azamat B. BerberoV15 and Nikolai S. Milogolov*cd
"Gaidar Institute for Economic Policy Moscow, Russian Federation
bFinancial University under the Government of the Russian Federation
Moscow, Russian Federation
cRussian Presidential Academy
of National Economy and Public Administration
Moscow, Russian Federation
dFinancial Research Institute under the Ministry of Finance Moscow, Russian Federation
Received 27.04.2020, received in revised form 02.09.2020, accepted 13.11.2020
Abstract. The article is devoted to the problem of tax systems' transformation in the era of digital economic development. The authors highlight the problem of technological unemployment and growing income inequality as the article's primary concern, which they explain using a gap in workers' professionalism and qualifications. The authors highlight various possible consequences for the tax systems of developed and developing countries. Based on this analysis, the authors also consider the prospects for multilateral cooperation as an instrument of economic policy that aims to slow the rate of technological unemployment and the growth of inequality (both between and within countries). Having studied developed and developing countries' economic interests, in their concluding arguments, the authors suggest that a cooperation scenario is currently unlikely, which places the poorest countries' tax systems in an extremely vulnerable position. The final part of this article explores the Russian tax system's adaptation to digital economic challenges. This article was prepared as part of research by state assignment at the Russian Academy of National Economy and Public Administration.
Keywords: technological unemployment, tax policy, digital economy, inequality, tax competition, tax cooperation, developing countries, corporate income tax, personal income tax, robot-tax.
Research area: financial policy, tax policy, labor market, employment.
© Siberian Federal University. All rights reserved
* Corresponding author E-mail address: nmilogolov@nifi.ru, berberov@iep.ru ORCID: 0000-0003-2739-8912 (Berberov); 0000-0001-8858-0182 (Milogolov)
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Citation: Berberov, A.B., Milogolov, N.S. (2020). Adjusting tax policy to the challenges of digitalization, inequality and technological unemployment. J. Sib. Fed. Univ. Humanit. Soc. Sci., 13(11), 1710-1722. DOI: 10.17516/1997-1370-0677.
Introduction
The increasing and continually advancing use of technology in the value creation process has raised broad economic and social challenges. These challenges inevitably pressure tax systems and require comprehensive research in order to be addressed. The most commonly discussed global issues include:
- digitalization's impact on inequality - the digital divide, which is defined as a gap between individuals, households, businesses and geographic areas at different socio-economic levels regarding both their opportunities to access information and communication technologies (ICTs) and their use of the Internet for a wide variety of activities (OECD, 2002);
- digitalization's impact on employment - technological unemployment, which can be defined as unemployment due to the discovery of means of economizing the use of labor surpassing the pace at which we can find new uses for labor (Keyns, 2009); and
- digitalization's impact on tax revenues from corporate income taxation - the inconsistency between the current international tax rules, based on the physical presence of a tax nexus and global virtual businesses (such as e-commerce) that can achieve a significant economic presence in key markets without any physical presence (scale without mass) (Action 1, 2015);
The academic literature has thoroughly analyzed the issues mentioned above in the context of tax policy transformation, but each issue has usually been examined separately from the other issues. The main idea of the current research is that the problems mentioned above cannot be separated from each other because they are closely related, so spillovers occur between them. Therefore, in developing both domestic tax policies and a new international tax architecture for the digitalized world, these issues should be considered comprehensively.
Theoretical Framework
Accumulated definitions of the digital economy proposed by Organisation for Economic Co-operation and Development (OECD) (2017), United Nations (UN) (Rujoiu, 2019), International Monetary Fund (IMF) (2018), the Australian Government (2013) and Deloitte (2019) show that the digital economy's main productive force is the collection and analysis of large amounts of information through information and communication technologies. Given that about 60% of the world's population has access to the Internet (Clement, 2019), the digital transformation has primarily affected business models based on processing user data, such as Internet search engines, social networks and electronic platforms for the online commerce of goods and services. In the context of this model, data is exploited primarily for marketing purposes - for example, for targeted advertising. However, technological progress also includes the development of technologies with a very heavy impact on human labor's contribution to a final product. These technologies include advanced robotics, artificial intelligence (AI), the Internet of Things (IoT), cloud computing, big data analysis and 3D printing. In the context of these technologies, industrialized data is used primarily for production purposes - for example, at highly digitalized factories.
Based on the compensatory macroeco-nomic effects described in the academic literature (Vivarelli, 2007), it can be argued that, in the long term, technological progress has only positive economic consequences. For example, the increasing use of digital technologies creates a large number of opportunities for new human labor applications (World Economic Forum, 2016), which theoretically mitigates the problem of technology displacing labor as a factor of production. However, this theory can be challenged since it is long term-oriented and does not consider the transition period of society's adaptation to new
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technologies. During this period of transition, a significant negative impact on well-being and quality of life for both individuals and society can take place. The difficulties of adaptation relate to the fact that, in the context of digital transformation, more and more skilled human labor is needed. This requirement forms the preconditions for increasing inequality, based on different levels of professional knowledge and skills - the so-called "skill-based divide" (Manyika, 2017). Other destructive factors are also worth mentioning - namely, a significant digital divide, especially in Africa and Latin America (United Nations Conference on Trade and Development, 2019), a general insecurity in workers' rights (International Trade Union Confederation, 2019), growing financial and property inequalities (Oxfam International, 2020), and a general slowdown in the global economy (United Nations Conference on Trade and Development, 2017).
Statement of the Problem
In this regard, the transformation of the tax system is becoming more relevant as the potential increase in technological unemployment, due to the increasing use of digital technologies, may significantly affect tax revenues -which any state is interested in maximizing for many reasons, such as combatting technological unemployment. A key fiscal risk is a decrease in tax revenues from the taxation of labor due to a decrease in labor's contribution to output as a result of technological unemployment, which the results of individual studies have also confirmed, indicating technological unemployment's significant potential (Win-ick, 2018) - especially for workers engaged in routine activities (Chui et al., 2015; Kape-lyushnikov, 2017). Another problem relates to international tax architecture's current basis on the distribution of rights for the taxation of passive income from the cross-border transfer of capital and technology between a "residence" country and a "source" country. "Residence" countries are usually more developed countries with advanced technologies, and they usually have primary and often exclusive rights to tax such profits, while the "source" countries' rights to tax profits are often either limited
under international agreements or not fully realized due to a lack of necessary technical competences among their local tax authorities (Tanzi, Zee, 2001). Therefore, the transformation of tax systems could trigger another round of international tax competition for the allocation of digitalized capital since countries' adaptation to the new digital environment will vary, depending on their fiscal characteristics - for example, their level of economic development and government spending, as well as their share of the highly educated and digitally savvy population.
In this regard, the risks associated with tax systems' failure to meet the challenges of digitalization are dramatically increasing. Due to the polarization of income resulting from the digital divide, a new understanding of how tax policies contribute to reducing economic inequality may be needed. In turn, outdated international taxation systems could exacerbate global inequalities between developed and developing countries through the mechanism of international tax competition for mobile capital.
Methodology
Our research is based on general scientific methods of analysis and synthesis, a systematic analysis of social phenomena and processes and a method of comparison, as well as the study of individual countries' cases. The authors use the concepts of technological unemployment and the digital divide to analyze this phenomenon in the context of tax policy measures and digital transformation cases in developed and developing states. Ultimately, practical proposals for tax reforms in Russia are suggested within this context.
Discussion
As a result of our analysis of digital-transformation cases in the context of challenges to tax policy and international economic competition, we have identified features that differ between major developed and emerging economies, such as OECD countries and BRICS (Brazil, Russia, India, China, and South Africa), and the poorest developing countries, especially those in Africa. In this regard, tax systems' reform in the digitalization context
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should consider two factors. First, the implementation of tax policy measures in the digitalization context should assume that issues of personal and corporate taxation cannot be considered or reformed separately. This judgment is based on the fact that digitalization significantly changes the existing balance between labor and capital taxation since it significantly affects labor's share in production and employees' level of real wages. Therefore, significant spillovers can arise from any tax reform that adjusts the tax burden onto either capital or labor. These spillovers can arise at either the national or international level, and they include - for example - the domestic substitution of routine labor with technologies and the cross-border transfer of digitalized capital and highly skilled labor. Secondly, special attention should be paid to the international tax system, and political efforts should be directed toward strengthening tax cooperation. International taxation's importance is increasing due to globalization of the world economy and its connectivity through both information and telecommunication systems, increasing data flows and transnational enterprises' value chains, which leads to a "migration" of digitalization's economic effects between the more-and less-developed worlds.
Results: Economies' Digital Transformations in Different Countries
In our opinion, in developed economies with less government spending and a well-educated, digitally savvy populations, digitaliza-tion's negative fiscal effects described above
will be less significant. Thus, such states may even reduce taxes on labor and capital in order to attract key drivers of digital value creation (highly qualified workers and intellectual property) to their jurisdictions from higher-tax jurisdictions. Such a tax policy would exacerbate global tax competition.
However, larger economies with large populations, high government spending and high costs of digital transformation may face significant fiscal difficulties due to digital transformation for the reasons mentioned above. This strain can lead to the implementation of "protectionist" fiscal policies in order to address the effects of global digital transformation imported from nearby economic competitors. This kind of scenario can already be seen through the prism of larger EU countries' reaction to the expansion of digital businesses from the United States into their own markets (Asen, 2020), as well as through the revival of the "robot-tax" idea in some countries that either are highly digitalized or have large populations (Table 1).
The characteristics of the transformations of less-developed countries' tax systems, and especially the poorest countries', should be highlighted separately. First, technological unemployment may affect the poorest countries from outside as a result of investments by highly digitalized multinational enterprises (MNEs), which crowd out local economic activities - for example, in agriculture - but do not lead to significant employment increases. Second, the poorest countries' economic role in global value chains often relates to less-valu-
Table 1. Robot-tax: Modern interpretation
Country Introduced Form Focus
South Korea (Vigliarolo, 2017) Yes Restricted incentives for investments in technology Equalization of the tax burden on human and capital-intensive labor
Canada (Chan, 2019) Idea Payment of a terminated staff member's income tax Recruitment of a staff member
India (Shankaran, 2019) Idea Limited incentives for investments in technology Equalization of the tax burden on human and capital-intensive labor
China (Cai, 2018) Idea Not specified Formation of a universal basic income
Source: Compiled by the present authors.
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able functions that digital technologies could already replace. Third, the poorest countries have often been characterized by low institutional development and a weak education sector - including the digital literacy context -which has caused difficulty for such jurisdictions in attempting to emerge from their challenging socioeconomic situations.
In this regard, the Oxford Martin School notes the growing relevance of the poorest developing countries' search for new economic models - even though technological unemployment is likely to affect developing countries later than developed countries (Frey et al., 2016). In the school's view, the two pillars of the foundation on which new policies should be built are investments in boosting domestic demand and the education sector (Frey et al., 2016). This view has a certain logic, given that the digital economy is characterized by a rapid expansion of new self-employment opportunities via reduced barriers to entry - including for women, people with disabilities, and people living in remote regions (World Bank, 2016). Below are just a few cases that illustrate digi-talization's positive effects in the poorest countries (Table 2).
These examples can be viewed as a modern interpretation of one effect of technological transformation, the inflow of investment in
new economic sectors leading to the partial absorption of the substituted workers from these sectors that are gradually getting rid of excess labor (Vivarelli, 2007). However, we suggest that merely connecting people from the poorest countries to digital platforms may not be sufficient to combat technological unemployment, especially when the digital revolution would lead to a wider displacement of workers from traditional industries.
The scale of this potential substitution of low-cost labor by technology has been illustrated in the research conducted by the Oxford Martin School (Frey, 2016): developing countries may be at a much higher risk of a technological displacement of labor. The school suggested that the potential for job automation varies from 55 percent in Uzbekistan, 69 percent in India, 77 percent in China and 85 percent in Ethiopia to an OECD average of 57 percent (Frey, 2016). The International Labour Organization (ILO) has a similar view, arguing that 64 percent ofjobs in Indonesia, 86 percent in Vietnam, and 88 percent in Cambodia are at risk of displacement - particularly in the textile industry (International Labour Organization, 2019). Therefore, for such jurisdictions, a transformation of the tax system may present a significant challenge. Initially, it should include the development of tax incentives to attract
Table 2. Cases of successful socioeconomic transformation through digital economic models
Example Region Comments
e-Commerce market (World Bank, 2016) China More than 10 million jobs created in online shops and related industries
Digital payment system M-Pesa (World Bank, 2016) Africa Source of income for over 80,000 of its agents
IT-company Andela (Youth Employment Decade, 2017) Africa Provision of free online training; the company plans to train 100,000 African developers by 2024
Online platform Farmerline (Food and Agriculture Organization of the United Nations, 2017) Ghana Combination of 200,000 farmers to increase proximity to markets
Women on the Internet (World Bank Group, 2018) Kosovo Region Creation of new jobs for women via training in IT skills
Digital service Samasource (World Bank, 2016) Poorest countries Connection of US and UK clients with workers from the poorest countries, most of whom are women
Digital service Rural Shores (World Bank, 2016)
Source: Compiled by the present authors.
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more foreign investment and technology, which may, however, exacerbate technological unemployment. The solution to this "vicious circle" could be economic policy measures aimed to prevent foreign investors from shifting the tax base without adequate taxation at the source and to create fiscal government funds in order to finance low-skilled workers' adaptation to the new digitalized reality and development of new valuable skills; however, this task would be difficult under the current constraints of tax systems and limited fiscal resources.
Results: International Tax Cooperation's Potential to Resolve the Problem of Adapting Tax Systems to Digitalization Challenges
Cooperation in taxation is a controversial aspect of international tax rules. On the one hand, the huge number of bilateral tax agreements to eliminate double taxation and prevent fiscal evasion indicates the international tax architecture's maturity. On the other hand, its scope, content and essence can be reasonably criticized today, especially given digital technologies' increasing role in society's economic life. Here are just a couple of key arguments supporting such criticism:
- Bilateral tax treaties, as they are designed today, focus on the international tax problems of the "industrial economy" and are not adapted to the digital reality. The principles laid down in tax treaties do not properly reflect the changing reality of the digitalized world (for example, the role of cross-border flows of data and the lesser importance of a physical presence at market states) (Action 1, 2015);
- The international tax system is incapable of rapid transformation aimed to solve specific problems surrounding the distribution of the tax base, especially between developing and developed countries (one example is the tax revenue losses related to the "brain drain" problem) (Milogolov, Berberov, 2019).
The combination of these factors challenges humanity to rethink the international tax architecture more deeply, considering digital technologies' broad impact on the economy and society. The urgency to search for a new direction in this transformation is also evident in the increasing activity level for tax policy
that aims to introduce uncoordinated taxes to digital businesses (Asen, 2020). This policy is reasonable because insufficient budget revenues can lead to social and economic shocks to society, including in the context of retraining technologically ousted citizens. Notably, however, some states also oppose this policy, alleging that it is unfair and that it breaches the principles of global tax and trade rules (Hovet, 2020).
In this regard, international tax cooperation to address technological unemployment is suggested by the authors. An inspiration for this idea can be found in the works of the Dutch trade union leader Edo Fimmen, who suggested concluding international agreements aimed at "slowing down the use of new production methods" (Fimmen, 1924). History repeats itself, given that some experts have argued for the need to redistribute developed states' income to developing states by paying citizens a global universal basic income (Con-dliffe, 2018). The authors of that proposal do not indicate how such funds would be raised. In this regard, let us improve upon the idea and assume that the mechanism for such collection would be an ephemeral global tax tool (e.g., a global robot tax).
To consider the prospects of such a tax tool, jurisdictions' handling of multilateral agreements should be analyzed. Broekhuijsen (2016) discussed this issue, stating that countries' economic interests were a necessary condition for their entering into cooperative arrangements and that an appropriate consensus among the most influential countries constituted a sufficient condition. From this perspective, developing countries' participation in such cooperative tax agreements - especially among the poorest states - is reasonably economically rational for them. However, in our view, the prospects of such cooperation are not very optimistic, especially given that modern international relations under the conditions of the digital economic transformation are not characterized by equality among countries' bargaining positions. The international tax architecture is controlled by developed OECD countries and major emerging economic powers (e.g., China and India) (Broekhui-
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jsen, 2016), while the poorest countries' economic role is not extensive. At the same time, the generation of digital solutions is currently in the hands of companies from the two largest economies, the United States and China (United Nations Conference on Trade and Development, 2019), for whom the problem of technological labor displacement within their domestic economies is not theoretical, and who are unlikely to be interested in sponsoring the poorest countries' welfare unless such sponsorship leads to additional economic benefits for the sponsors themselves.
Based on this analysis, we believe international tax cooperation that aims at a greater redistribution of tax revenues in favor of the poorest developing countries seems utopian today. In this regard, cooperative mechanisms that aim to encourage research and an exchange of experience to combat technological unemployment, similar to the UN's recommendations (UN Department of Economic & Social Affairs, 2017) - which, however, do not fundamentally solve this problem for the poorest developing countries - may be the current upper limit of tax cooperation. Developing countries are left to face the indicated problem, which - in our opinion - contradicts Goal No. 9 in the 2030 Agenda of the UN General Assembly (United Nations Sustainable Development Goals, 2015) and relates to the promotion of "sustainable development."
Results: What Should the Russian Federation Do? Directions for the Development of the Tax System
It should be noted that the Russian Federation's position is unique in many respects. On the one hand, the country is characterized by a large population that is more educated than developing countries' populations. On the other hand, the Russian economy has strong competitive disadvantages, including its main focus on exporting low-value-added goods (such as extracted natural resources), its high level of financial and property inequality, and its large number of industrial monocities. Thus, the state could face problems concerning the tech-
nological displacement of its workforce. This potential, in particular, has also been indicated by the results of studies conducted by Zemtsov (2017), McKinsey (Manyika, 2017), The Economist (2018) et cetera.
We tend to proceed from the point of view expressed by the Oxford Martin School (Frey et al., 2016): in the short term, the technological displacement of labor is typical for developed countries, but over the longer term, this process will inevitably affect developing countries, including the Russian Federation. In this regard, Russia has time to develop its own technological adaptation scenario.
In our opinion, when developing Russia's strategy to combat technological unemployment, we should turn to two updated ideas originating from classical political economists. The first of these ideas was originally expressed by the German economist and philosopher Karl Marx, who argued that "the machines are not to blame for freeing people from their livelihoods" (Marx, 1983). The second of these ideas was originally expressed by the British economist Sidney James Webb: "The conversation should not be about whether or not to introduce machines, but about the conditions under which they should be introduced" (Kolokolnikov, 1909). With these ideas in mind, we advocate for a policy that aims to proactively dampen the digital transformation's negative social and economic consequences.
Reforms should not be limited to internal tax policy alone. Transformation processes that align with this new historical challenge should also touch upon international tax policy, especially accounting for tax policies' active transformation in foreign countries. The primary challenge is to support Russian IT companies' activities. This support is necessary to level the tax burden and the playing field for foreign companies with a significant presence in Russia and for local companies, preferably by coordinating the measures introduced with the other Eurasian Economic Union (EAEU) member states. Table 3 shows the revenue potential of taxing foreign digital companies' profits.
As calculations above show, the introduction of such a tax reform would enable a partial
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compensation for the losses resulting from the digital redesign of traditional market segments, such as taxis, as well as the redistribution of revenues in favor of Russian capital and the country's budget - including the context of technologically retraining Russians. This approach requires the development of a corporate taxation methodology; meanwhile, the tax service already has the necessary resources for administration in the digital environment. These resources are indicated, in particular, by the amount of VAT collected from the provision of foreign companies' digitalized services (Table 4).
The second aspect of improving tax policy, in our opinion, should concern the mechanism of personal income taxation. This aspect is necessary because most of this mechanism's revenues, to date, have been collected from people with relatively small incomes. Despite some experts' suggestion that reforming the personal income tax collection mechanism will not yield much revenue or improve social justice (Agee-va, 2017), we consider this approach paradoxical and advocate for increasing the personal income taxation mechanism's progressivity. Such a strategy would enable an offsetting of
the wage polarization that has resulted from the transition to new working conditions - the skill-based divide problem.
The third aspect of the reform relates to tax incentives for staff education and retraining. To date, according to Rosstat data (2019), companies' expenses to innovatively retrain employees do not exceed 2% of the total innovative expenses. Certainly, on the one hand, this fact can be interpreted to suggest that the retraining process is not yet relevant for companies. On the other hand, in the absence of an unambiguous answer to this question, we believe introducing a tax incentive for additional deductions from companies' taxable profits is important in order to encourage companies to invest in retraining employees.
Finally, the high level of international mobility among digital specialists of Russian origin puts reconsidering their tax nexus and reforming tax residence criteria; to date, these aspects are elementarily simple and do not reflect the tax nexus of the "drained brain" with the country of origin of these mobile specialists (Milogolov, Berberov, 2019).
The subject for a wider discussion is the introduction of some form of tax on ro-
Table 3. Estimation of additional tax income from the taxation
of IT companies' 50 largest representative offices (2018)
Indicator Value
Revenue 967.1 billion rubles
Average profitability (2017) ~17.6%
Profit 170.2 billion rubles
Corporate income tax ~34 billion rubles
Source: Compiled by the present authors based on TAdviser (2019) data.
Table 4. Volume of VAT collected and number of companies
Year Volume of VAT (billion rubles) Number of companies
2017 ~9.4 131
2018 ~12 203
2019 ~47.5 2,168
2020 - 2,209
Source: Compiled by the present authors on the basis of research by Bryzgalova (2019).
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bots, which may have various forms. Alex-ei Kudrin, former head of the board at the Center for Strategic Research, stated that "an income tax on robots would mean a tax on technological progress," while the Russian Federation faces the opposite challenge (Feynberg, 2017). However, Kudrin also pointed to the following trend: as a result of robotization, fast-growing companies' profits are also growing rapidly, and consequently, budget funds for citizens' technological retraining should be taken from these companies' funds (Feynberg, 2017). In this regard, in our opinion, the Russian tax system can show the world its positive version of the tax on robots that aims to create incentives to reinvest the profits of businesses with a high level of digitalization. One element of such a measure could be limiting the deduction of expenses for the use of foreign technologies from taxable profits at a reasonable level in order to stop profits from shifting through royalty payments to low-tax jurisdictions.
Conclusion
The following three points are important to note:
1) With digital technologies' increasing penetration into society and the economy, increasing technological unemployment and growing inequality may become a problem for many countries around the world. In this context, the search for areas of transformation for tax systems at the national and international levels is becoming more relevant. The design of tax reforms depends on states' unique socioeconomic characteristics. However, in our opinion, the question of how the
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2) The development of a new instrument for international tax cooperation could contribute to a coordinated transformation of tax systems. However, an analysis of the prerequisites for jurisdictions' introduction of such mechanisms shows that, to date, such an initiative is unlikely to be feasible due to states' different economic interests. In this regard, given the potential for increased technological unemployment, the recommended tax reform trajectory for the poorest states' tax systems remains uncertain.
3) The Russian Federation's situation is unique in many ways. On the one hand, the Russian population is highly educated. On the other hand, unfortunately, Russia cannot yet be classified as a highly developed country. We propose the following tax policy measures for Russia:
- leveling the playing field in corporate income tax burdens for domestic and foreign digital businesses;
- introducing a reform that aims to increase personal income taxation's progressivity and distributional potential, as well as changes to individuals' tax residence criteria;
- developing a system of tax incentives that aims to encourage employee retraining; and
- determining how to introduce a non-classical version of the tax on robots in order to encourage the reinvestment of profits in the Russian economy and prevent profit-shifting.
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Адаптация налоговой политики к вызовам цифровизации, неравенства и технологической безработицы
А.Б. Берберов3, б, Н.С. Милоголовв, г
аИнститут экономической политики им. Е.Т. Гайдара Российская Федерация, Москва бФинансовый университет при Правительстве РФ Российская Федерация, Москва вРоссийская академия народного хозяйства
и государственной службы при Президенте Российской Федерации Российская Федерация, Москва гНаучно-исследовательский финансовый институт Министерства финансов Российской Федерации Российская Федерация, Москва
Аннотация. Статья посвящена проблеме трансформации налоговых систем в эпоху цифрового развития экономики. В качестве основной проблемы авторы выделяют проблему технологической безработицы и растущего неравенства доходов, объясняемого разрывом в профессионально-квалификационном уровне работников. Авторы выделяют различные возможные последствия для налоговых систем развитых и развивающихся государств. Исходя из этого авторы также рассматривают перспективы многостороннего сотрудничества как инструмента экономической политики, направленного на замедление темпов технологической безработицы и роста неравенства (как между странами, так и внутри них). Изучив экономические интересы развитых и развивающихся государств при заключении соглашений, авторы предполагают, что такой сценарий сотрудничества в настоящее время вряд ли является реальным, он поставит налоговые системы беднейших государств в крайне уязвимое положение. Заключительная часть статьи посвящена вопросам адаптации российской налоговой системы к вызовам цифровой экономики.
Ключевые слова: технологическая безработица, налоговая политика, цифровая экономика, неравенство, налоговая конкуренция, налоговая кооперация, развивающиеся страны, налог на прибыль, налог на доходы физических лиц, налог на роботов.
Научная специальность: 08.00.00 — финансовая политика, налоговая политика, рынок труда, трудоустройство.
