Switzerland is a landlocked country situated in Central Europe, spanning an area of 41,000 km2, where the Alps occupy 60% of the territory, while it owns little cultivated land and poor natural resources. In 2011, its population was about 7,950,000 persons[1]. Since the Swiss Federal was founded, it has been adhering to a diplomatic policy claiming neutrality and peace, and therefore, it is one of the safest and most stable countries in the world. Switzerland is famous for its high-quality education and high-level technological development and is very competitive in biomedicine, chemical engineering, electronics and metal industries in the international market. As a small country with poor resources, the Swiss have learnt to drive their economic and social development through education, R&D and innovation a very long time ago. Some renowned enterprises, including Nestle, Novartis and Roche, are all based in Switzerland. Meanwhile, a lot of creative small-sized and medium-sized enterprises based in Switzerland are dedicated to supporting the export-orientation economy in Switzerland.
Switzerland has the strongest economic strength and plentiful innovation energy. Its patent applications, publication of essay, frequencies of quotation and private enterprises’ innovation performance are remarkable all over the world. According to the Global Competitiveness Report released by the World Economic Forum (WEF), Switzerland has ranked first among the most competitive countries in the world for four years consecutively since 2009[2]. Meanwhile, according to the Global Innovation Index (GII) released by INSEAD and the World Intellectual Property Organization (WIPO) jointly, Switzerland has also ranked first in 2011 and 2012 consecutively[3]. Obviously, Switzerland has led the other countries in the world in innovation development and economic strength. Therefore, when studying the R&D incentives and boosting the industrial innovation, we might benefit from the experience of Switzerland to help boost the relevant mechanism in Taiwan.
Taiwan’s government organization reform has been launched officially and boosted step by step since 2012. In the future, the National Science Council will be reformed into the “Ministry of Science and Technology”, and the Ministry of Economic Affairs into the “Ministry of Economy and Energy”, and the Department of Industrial Development into the “Department of Industry and Technology”. Therefore, Taiwan’s technology administrative system will be changed materially. Under the new government organizational framework, how Taiwan’s technology R&D and industrial innovation system divide work and coordinate operations to boost the continuous economic growth in Taiwan will be the first priority without doubt. Support of innovation policies is critical to promotion of continuous economic growth. The Swiss Government supports technological research and innovation via various organizations and institutions effectively. In recent years, it has achieved outstanding performance in economy, education and innovation. Therefore, we herein study the functions and orientation of the competent authorities dedicated to boosting research and innovation in Switzerland, and observe its policies and legal system applied to boost the national R&D in order to provide the reference for the functions and orientation of the competent authorities dedicated to boosting R&D and industrial innovation in Taiwan.
Swiss national administrative organization is subject to the council system. The Swiss Federal Council is the national supreme administrative authority, consisting of 7 members elected from the Federal Assembly and dedicated to governing a Federal Government department respectively. Switzerland is a federal country consisting of various cantons that have their own constitutions, councils and governments, respectively, entitled to a high degree of independence.
Article 64 of the Swiss Federal Constitution[4] requires that the federal government support research and innovation. The “Research and Innovation Promotion Act” (RIPA)[5] is dedicated to fulfilling the requirements provided in Article 64 of the Constitution. Article 1 of the RIPA[6] expressly states that the Act is enacted for the following three purposes: 1. Promoting the scientific research and science-based innovation and supporting evaluation, promotion and utilization of research results; 2. Overseeing the cooperation between research institutions, and intervening when necessary; 3. Ensuring that the government funding in research and innovation is utilized effectively. Article 4 of the RIPA provides that the Act shall apply to the research institutions dedicated to innovation R&D and higher education institutions which accept the government funding, and may serve to be the merit for establishment of various institutions dedicated to boosting scientific research, e.g., the National Science Foundation and Commission of Technology & Innovation (CTI). Meanwhile, the Act also provides detailed requirements about the method, mode and restriction of the government funding.
According to the RIPA amended in 2011, the Swiss Federal Government’s responsibility for promoting innovation policies has been extended from “promotion of technology R&D” to “unification of education, research and innovation management”, making the Swiss national industrial innovation framework more well-founded and consistent[8] . Therefore, upon the government organization reform of Switzerland in 2013, most of the competent authorities dedicated to technology in Swiss have been consolidated into the Federal Department of Economic Affairs, Education and Research.
Under the framework, the Swiss Federal Government assigned higher education, job training, basic scientific research and innovation to the State Secretariat for Education, Research and Innovation (SERI), while the Commission of Technology & Innovation (CTI) was responsible for boosting the R&D of application scientific technology and industrial technology and cooperation between the industries and academy. The two authorities are directly subordinate to the Federal Department of Economic Affairs, Education and Research (EAER). The Swiss Science and Technology Council (SSTC), subordinate to the SERI is an advisory entity dedicated to Swiss technology policies and responsible for providing the Swiss Federal Government and canton governments with the advice and suggestion on scientific, education and technology innovation policies. The Swiss National Science Foundation (SNSF) is an entity dedicated to boosting the basic scientific R&D, known as the two major funding entities together with CTI for Swiss technology R&D. The organizations, duties, functions and operations of certain important entities in the Swiss innovation system are introduced as following.

Date source: Swiss Federal Department of Economic Affairs, Education and Research official website
Fig. 1 Swiss Innovation Framework Dedicated to Boosting Industries-Swiss Federal Economic, Education and Research Organizational Chart
1. State Secretariat of Education, Research and Innovation (SERI)
SERI is subordinate to the Department of Economic Affairs, Education and Research, and is a department of the Swiss Federal Government dedicated to managing research and innovation. Upon enforcement of the new governmental organization act as of January 1, 2013, SERI was established after the merger of the State Secretariat for Education and Research, initially subordinate to Ministry of Interior, and the Federal Office for Professional Education and Technology (OEPT), initially subordinated to Ministry of Economic Affairs. For the time being, it governs the education, research and innovation (ERI). The transformation not only integrated the management of Swiss innovation system but also unified the orientations toward which the research and innovation policy should be boosted.
SERI’s core missions include “enactment of national technology policies”, “coordination of research activities conducted by higher education institutions, ETH, and other entities of the Federal Government in charge of various areas as energy, environment, traffic and health, and integration of research activities conducted by various government entities and allocation of education, research and innovation resources. Its functions also extend to funding the Swiss National Science Foundation (SNSF) to enable SNSF to subsidize the basic scientific research. Meanwhile, the international cooperation projects for promotion of or participation in research & innovation activities are also handled by SERI to ensure that Switzerland maintains its innovation strength in Europe and the world.
The Swiss Science and Technology Council (SSTC) is subordinate to SERI, and also the advisory unit dedicated to Swiss technology policies, according to Article 5a of RIPA[9]. The SSTC is responsible for providing the Swiss Federal Government and canton governments with advice and suggestion about science, education and innovation policies. It consists of the members elected from the Swiss Federal Council, and a chairman is elected among the members.
2. Swiss National Science Foundation (SNSF)
The Swiss National Science Foundation (SNSF) is one of the most important institutions dedicated to funding research, responsible for promoting the academic research related to basic science. It supports about 8,500 scientists each year. Its core missions cover funding as incentives for basic scientific research. It grants more than CHF70 million each year. Nevertheless, the application science R&D, in principle, does not fall in the scope of funding by the SNSF. The Foundation allocates the public research fund under the competitive funding system and thereby maintains its irreplaceable identity, contributing to continuous output of high quality in Switzerland.
With the support from the Swiss Federal Government, the SNSF was established in 1952. In order to ensure independence of research, it was planned as a private institution when it was established[10]. Though the funding is provided by SERI, the SNSF still has a high degree of independence when performing its functions. The R&D funding granted by the SNSF may be categorized into the funding to free basic research, specific theme-oriented research, and international cooperative technology R&D, and the free basic research is granted the largest funding. The SNSF consists of Foundation Council, National Research Council and Research Commission[11].
Data source: prepared by the Study
Fig. 2 Swiss National Science Foundation Organizational Chart(1) Foundation Council
The Foundation Council is the supreme body of the SNSF[12], which is primarily responsible for making important decisions, deciding the role to be played by the SNSF in the Swiss research system, and ensuring SNSF’s compliance with the purpose for which it was founded. The Foundation Council consists of the members elected from the representatives from important research institutions, universities and industries in Swiss, as well as the government representatives nominated by the Swiss Federal Council. According to the articles of association of the SNSF[13], each member’s term of office should be 4 years, and the members shall be no more than 50 persons. The Foundation Council also governs the Executive Committee of the Foundation Council consisting of 15 Foundation members. The Committee carries out the mission including selection of National Research Council members and review of the Foundation budget.
(2) National Research Council
The National Research Council is responsible for reviewing the applications for funding and deciding whether the funding should be granted. It consists of no more than 100 members, mostly researchers in universities and categorized, in four groups by major[14], namely, 1. Humanities and Social Sciences; 2. Math, Natural Science and Engineering; 3. Biology and Medical Science; and 4. National Research Programs (NRPs)and National Centers of Competence in Research (NCCRs). The NRPs and NCCRs are both limited to specific theme-oriented research plans. The funding will continue for 4~5years, amounting to CHF5 million~CHF20 million[15]. The specific theme-oriented research is applicable to non-academic entities, aiming at knowledge and technology transfer, and promotion and application of research results. The four groups evaluate and review the applications and authorize the funding amount.
Meanwhile, the representative members from each group form the Presiding Board dedicated to supervising and coordinating the operations of the National Research Council, and advising the Foundation Council about scientific policies, reviewing defined funding policies, funding model and funding plan, and allocating funding by major.
(3) Research Commissions
Research Commissions are established in various higher education research institutions. They serve as the contact bridge between higher education academic institutions and the SNSF. The research commission of a university is responsible for evaluating the application submitted by any researcher in the university in terms of the school conditions, e.g., the school’s basic research facilities and human resource policies, and providing advice in the process of application. Meanwhile, in order to encourage young scholars to attend research activities, the research committee may grant scholarships to PhD students and post-doctor research[16].
~to be continued~
[2] WORLD ECONOMIC FORUM [WEF], The Global Competiveness Report 2012-2013 (2012), http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2012-13.pdf (last visited Jun. 1, 2013); WEF, The Global Competiveness Report 2011-2012 (2011), http://www3.weforum.org/docs/WEF_GCR_Report_2011-12.pdf (last visited Jun. 1, 2013); WEF, The Global Competiveness Report 2010-2011 (2010), http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2010-11.pdf (last visited Jun. 1, 2013); WEF, The Global Competiveness Report 2009-2010 (2009),. http://www3.weforum.org/docs/WEF_GlobalCompetitivenessReport_2009-10.pdf (last visited Jun. 1, 2013).
[3] INSEAD, The Global Innovation Index 2012 Report (2012), http://www.globalinnovationindex.org/gii/GII%202012%20Report.pdf (last visited Jun. 1, 2013); INSEAD, The Global Innovation Index 2011 Report (2011), http://www.wipo.int/freepublications/en/economics/gii/gii_2011.pdf (last visited Jun. 1, 2013).
[4] SR 101 Art. 64: “Der Bund fördert die wissenschaftliche Forschung und die Innovation.”
[5] Forschungs- und Innovationsförderungsgesetz, vom 7. Oktober 1983 (Stand am 1. Januar 2013). For the full text, please see www.admin.ch/ch/d/sr/4/420.1.de.pdf (last visited Jun. 3, 2013).
[6] Id.
[7] Id.
[8] CTI, CTI Multi-year Program 2013-2016 7(2012), available at http://www.kti.admin.ch/?lang=en&download=NHzLpZeg7t,lnp6I0NTU042l2Z6ln1ad1IZn4Z2qZpnO2Yuq2Z6gpJCDeYR,hGym162epYbg2c_JjKbNoKSn6A-- (last visited Jun. 3, 2013).
[9] Supra note 5.
[10] Swiss National Science Foundation, http://www.snf.ch/E/about-us/organisation/Pages/default.aspx (last visited Jun. 3, 2013).
[11] Id.
[12] Foundation Council, Swiss National Science Foundation, http://www.snf.ch/E/about-us/organisation/Pages/foundationcouncil.aspx (last visited Jun. 3, 2013).
[13] See Statutes of Swiss National Science Foundation Art.8 & Art. 9, available at http://www.snf.ch/SiteCollectionDocuments/statuten_08_e.pdf (last visited Jun. 3, 2013).
[14] National Research Council, Swiss National Science Foundation, http://www.snf.ch/E/about-us/organisation/researchcouncil/Pages/default.aspx (last visted Jun.3, 2013).
[15] Theres Paulsen, VISION RD4SD Country Case Study Switzerland (2011), http://www.visionrd4sd.eu/documents/doc_download/109-case-study-switzerland (last visited Jun.6, 2013).
[16] Research Commissions, Swiss National Science Foundation, http://www.snf.ch/E/about-us/organisation/Pages/researchcommissions.aspx (last visted Jun. 6, 2013).
Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance 2024/08/15 I. AI Taiwan Action Plan 2.0 In 2018, the Executive Yuan launched the “AI Taiwan Action Plan” to ensure that the country keeps pace with AI developments. This strategic initiative focuses on attracting top talent, advancing research and development, and integrating AI into critical sectors such as smart manufacturing and healthcare. The action plan has sparked growing discussion on AI regulation. Through these efforts, Taiwan aims to position itself as a frontrunner in the global smart technology landscape. Later in 2023, the Executive Yuan updated the action plan, releasing “AI Taiwan Action Plan 2.0” to further strengthen AI development. “AI Taiwan Action Plan 2.0” outlines five main pillars: 1. Talent Development: Enhancing the quality and quantity of AI expertise, while improving public AI literacy through targeted education and training initiatives. 2. Technological and Industrial Advancement: Focusing on critical AI technologies and applications to foster industrial growth; and creating the Trustworthy AI Dialogue Engine (TAIDE) that communicates in Traditional Chinese. 3. Enhancing work environments: Establishing robust AI governance infrastructure to facilitate industry and governmental regulation, and to foster compliance with international standards. 4. International Collaboration: Expanding Taiwan's role in international AI forums, such as the Global Partnership on AI, to collaborate on developing trustworthy AI practices. 5. Societal and Humanitarian Engagement: Utilizing AI to tackle pressing societal challenges such as labor shortages, an aging population, and environmental sustainability. II. AI Product and System Evaluation Guidelines: A Risk-based Approach to AI Governance To support infrastructure, in March 2024, the Administration for Digital Industries issued the draft AI Product and System Evaluation Guidelines. The Guidelines are intended to serve as a reference for industry when developing and using AI products and systems, thus laying a crucial foundation for advancing AI-related policies in Taiwan. The Guidelines outline several potential risks associated with AI: 1. Third-Party Software and Hardware: While third-party software, hardware, and datasets can accelerate development, they may also introduce risks into AI products and systems. Therefore, effective risk management policies are crucial. 2. System Transparency: The lack of transparency in AI products and systems makes risk assessment relatively challenging. Inadequate transparency in AI models and datasets also pose risks for development and deployment. 3. Differences in Risk Perception: Developers of AI products and systems may overlook risks specific to different application scenarios. Moreover, risks may gradually emerge as the product or system is used and trained over time. 4. Application Domain Risks: Variations between testing results and actual operational performance can lead to differing risk assessments for evaluated products and systems. 5. Deviation from Human Behavioral Norms: If AI products and systems behave unexpectedly compared to human operations, this can indicate a drift in the product, system, or model, thereby introducing risks. The Guidelines also specify that businesses have to categorize risks when developing or using AI products and systems, and manage them in accordance with these classifications. In alignment with the EU AI Act, risks are classified into four levels: unacceptable, high, limited, and minimal. 1. Unacceptable Risk: If AI systems used by public or private entities provide social scoring of individuals, this could lead to discriminatory outcomes and the exclusion of certain groups. Furthermore, if AI systems are employed to manipulate the cognitive behavior of individuals or vulnerable populations, causing physical or psychological harm, such systems are deemed unacceptable and prohibited. 2. High risk: AI systems are classified as high-risk in several situations. These include applications used in critical infrastructure, such as transportation, where there is potential risk to citizens' safety and health. These situations also encompass AI systems involved in educational or vocational training (such as exam scoring), which can determine access to education or professional paths. AI used as safety-critical product components, such as robot-assisted surgery, also falls into this category. In the employment sector, AI systems used for managing recruitment processes, including CV-sorting software, are considered high-risk. Essential private and public services, such as credit scoring systems that impact loan eligibility, also fall under high-risk. AI used in law enforcement in ways that it may affect fundamental rights, such as evaluating the reliability of evidence, is also included. AI systems involved in migration, asylum, and border control, such as automated visa application examinations, are categorized as high-risk. Finally, AI solutions used in the administration of justice and democratic processes, such as court ruling searches, are also classified as high-risk. If an AI system is classified as high risk, it must be evaluated across ten criteria—Safety, Explainability, Resilience, Fairness, Accuracy, Transparency, Accountability, Reliability, Privacy, and Security—to ensure the AI system’s quality. 3. Limited risk: When an AI product or system is classified as having limited risk, it is up to the enterprise to determine whether an evaluation is required. The Guidelines also introduce specific transparency obligations to ensure that humans are informed when necessary, thus fostering trust. For instance, when using AI systems such as chatbots or systems for generating deepfake content, humans must be made aware that they are interacting with a machine so they can take an informed decision to continue or step back. 4. Minimal or no risk: The Guidelines allow the free use of minimal-risk AI. This includes applications such as AI-enabled video games and spam filters. Ⅲ. Conclusion The AI Product and System Evaluation Guidelines represent a significant step forward in establishing a robust, risk-based framework for AI governance in Taiwan. By aligning with international standards like the EU AI Act, these Guidelines ensure that AI products and systems are rigorously assessed and categorized into four distinct risk levels: unacceptable, high, limited, and minimal. This structured approach allows businesses to manage AI-related risks more effectively, ensuring that systems are safe, transparent, and accountable. The emphasis on evaluating AI systems across ten critical criteria—including safety, explainability, and fairness—reflects a comprehensive strategy to mitigate potential risks. This proactive approach not only safeguards the public but also fosters trust in AI technologies. By setting clear expectations and responsibilities for businesses, the Guidelines promote responsible development and deployment of AI, ultimately contributing to Taiwan's goal of becoming a leader in the global AI landscape.
A Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited PartnershipsA Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited Partnerships I. Background Because the business models adopted by Industries, such as venture capital, film, stage performance and others, are intended to be temporary entities, and the existing business laws are not applicable for such industries,[1] the Legislature Yuan passed the “Limited Partnership Act” in June 2015,[2] for the purpose of encouraging capital injection into these industries. However, since the Act was passed, there are currently only nine limited partnerships listed on the Ministry of Economic Affairs' limited partnership information website. Among them, “Da-Zuo Limited Partnership (Germany) Taiwan Branch” and “Stober Antriebstechnik Limited Partnership (Germany) Taiwan Branch”, are branch companies established by foreign businesses, the remaining seven companies are audio video production and information service businesses. It is a pity that no venture capital company is adopting this format.[3] In fact, several foreign countries have set up supporting measures for their taxation systems targeting those business structures, such as limited partnerships. For example, the pass-through taxation method (or referred to as single entity taxation) is adopted by the United States, while Transparenzprinzip is used by Germany. These two taxation methods may have different names, but their core ideas are to pass the profits of a limited partnership to the earnings of partners.[4] However, following the adoption of the Limited Partnership Act in Taiwan, the Ministry of Finance issued an interpretation letter stating that because the current legal system confers an independent legal entity status to the business structure of a limited partnership, it should be treated as a profit-seeking business and taxed with Profit-Seeking Enterprise Income Tax.[5] Therefore, to actualize the legislative objective of encouraging innovative businesses organized under tenets of the Limited Partnership Act, the Executive Yuan presented a draft amendment for Article 23-1 of the Statute for Industrial Innovation (hereinafter referred to as the Draft), introducing the "Pass Through Taxation Principle" as adopted by several foreign countries. That is, a Limited Partnership will not be levied with the Profit-Seeking Enterprise Income Tax, but each partner will file income tax reports based on after-profit-gains from the partnership that are passed through to each partner. It is expected that the venture capital industry will now be encouraged to adopt the limited partnership structure, and thus increase investment capital in new ventures. II. The Pass Through Taxation Method is Applicable to Newly Established Venture Capital Limited Partnerships 1. The Requirements and Effects (1) The Requirements According to the provisions of Article 23-1 Paragraph 3 of the Draft, to be eligible for Pass Through Taxation, newly established venture capital limited partnerships must meet the following requirements: 1. The venture capital limited partnerships are established between January 1, 2017 and December 31, 2019. 2. Investment threshold of the total agreed capital contribution, total received capital contribution, and accumulated total capital contribution, within five years of the establishment of venture capital limited partnerships: Total Agreed Capital Contribution in the Limited Partnership Agreement Total Received Capital Contribution Accumulated Investment Amount for Start-up Companies The Year of Establishment 3 hundred million ✕ ✕ The Second Year ✕ ✕ The Third Year 1 hundred million ✕ The Fourth Year 2 hundred million Reaching 30 percent of the total received capital contribution of the year or 3 hundred million NT dollars. The Fifth Year 3 hundred million 3. The total amount, that an overseas company applies in capital and investments in actual business operations in Taiwan, reaches 50% of its total received capital contribution of that year. 4. In compliance with government policies. 5. Reviewed and approved by the central competent authority each year. (2) The Effects The effects of applying the provisions of Article 23-1 Paragraph 3 of the Draft are as follows: 1. Venture capital limited partnerships are exempt from the Profit-Seeking Enterprise Income Tax. 2. Taxation method for partners in a limited partnership after obtaining profit gains: (1) Pursuant to the Income Tax Act, Individual partners and for-profit business partners are taxed on their proportionally-calculated, distributed earnings. (2) Individual partners and foreign for-profit business partners are exempt from income tax on the stock earnings distributed by a limited partnership. 2. Benefit Analysis Before and After Applying Pass Through Taxation Method A domestic individual A, a domestic profit-making business B, and a foreign profit-making business C jointly form a venture capital limited partnership, One. The earnings distribution of the company One is 10%, 80% and 10% for A, B, and C partners, respectively. The calculated earnings of company One are one million (where eight hundred thousand are stock earnings, and two hundred thousand are non-stock earnings). How much income tax should be paid by the company One, and partners A, B, and C? (1) Pursuant to the Income Tax Act, before the amended draft: 1. One Venture Capital Limited Partnership Should pay Profit-Seeking Enterprise Income Tax = (NT$1,000,000 (earning) - NT$500,000[6])x12% (tax rate[7])=NT$60,000 2. Domestic Individual A Should file a comprehensive income report with business profit income =(NT$1,000,000-NT$60,000) x 10% (company One draft a voucher for net amount for A) + NT$60,000÷2×10% (deductible tax rate)= NT$97,000 Tax payable on profit earnings=NT$91,500×5%(tax rate)=NT$4,850 Actual income tax paid=NT$4,850 - NT$60,000÷2×10% (deductible tax rate) =NT$1,485 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source=(NT$1,000,000 - NT$60,000) ×10% (earning distribution rate) ×20% (tax rate at earning source)=NT$18,800 (2) Applying Pass Through Taxation Method After Enacting the Amendment 1. One Venture Capital Limited Partnership No income tax. 2. Domestic Individual A Should pay tax=NT$800,000 (non-stock distributed earnings)×10% (earning distribution rate)×5% (comprehensive income tax rate)=NT$1,000 3. Domestic For-Profit Business B Pursuant to the provisions of Article 42 of the Income Tax Act, the net dividend or net income received by a profit-seeking company is not included in the income tax calculation. 4. Foreign For-Profit Business C Tax paid at its earning source=NT$800,000 (non-stock distributed earnings)×10%(earning distribution rate)×20% (tax rate at earning source)=NT$4,000 The aforementioned example shows that under the situation, where the earning distribution is the same and tax rate for the same taxation subject is the same, the newly-established venture capital limited partnerships and their shareholders enjoy a more favorable tax benefit with the adoption of pass through taxation method: Before the Amendment After the Amendment Venture Capital Limited Partnership NT$60,000 Excluded in calculation Shareholders Domestic Individual NT$1,850 NT$1,000 Domestic For-Profit Business Excluded in calculation Excluded in calculation Foreign For-Profit Business NT$18,800 NT$4,000 Sub-total NT$80,650 NT$5,000 III. Conclusion Compared to the corporate taxation, the application of the pass through taxation method allows for a significant reduction in tax burden. While developing Taiwan’s pass through tax scheme, the government referenced corporate taxation under the U.S. Internal Revenue Code (IRC), where companies that meet the conditions of Chapter S can adopt the “pass through” method, that is, pass the earnings to the owner, with the income of shareholders being the objects of taxation;[8] and studied the "Transparenzprinzip" adopted by the German taxation board for partnership style for-profit businesses. Following these legislative examples, where profits are identified as belonging to organization members,[9] the government legislation includes the adoption of the pass through taxation scheme for venture capital limited partnerships in the amended draft of Article 23-1 of the Statute for Industrial Innovation, so that the legislation is up to international standards and norms, while making an important breakthrough in the current income tax system. This is truly worthy of praise. [1] The Legislative Yuan Gazette, Vol. 104, No. 51, page 325. URL:http://misq.ly.gov.tw/MISQ//IQuery/misq5000Action.action [2] A View on the Limited Partnership in Taiwan, Cross-Strait Law Review, No. 54, Liao, Da-Ying, Page 42. [3] Ministry of Economic Affairs - Limited Partnership Registration Information URL: http://gcis.nat.gov.tw/lmpub/lms/dir.jsp?showgcislocation=true&agencycode=allbf [4] Same as annotate 2, pages 51-52. [5] Reference Letter of Interpretation dated December 18, 2015, Tai-Cai-Shui Zi No. 10400636640, the Ministry of Finance [6] First half of Paragraph 1 of Article 8 of the Income Basic Tax Act [7] Second half of Paragraph 1 of Article 8 of the Income Basic Tax Act [8] A Study on the Limited Partnership Act, Master’s degree thesis, College of Law, Soochow University, Wu, Tsung-Yeh, pages 95-96. [9] Reference annotate 2, pages 52.
Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019)Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019) I. Brief Blockchain technology can solve the problem of trust between data demanders and data providers. In other words, in a centralized mode, data demanders can only choose to believe that the centralized platform will not contain the false information. However, in the decentralized mode, data isn’t controlled by one individual group or organization[1], data demanders can directly verify information such as data source, time, and authorization on the blockchain without worrying about the correctness and authenticity of the data. Take the “immutable” for example, it is conflict with the right to erase (also known as the right to be forgotten) in the GDPR.With encryption and one-time pad (OTP) technology, data subjects can make data off-chain storaged or modified at any time in a decentralized platform, so the problem that data on blockchain not meet the GDPR regulation has gradually faded away. II. What is GDPR? The purpose of the EU GDPR is to protect user’s data and to prevent large-scale online platforms or large enterprises from collecting or using user’s data without their permission. Violators will be punished by the EU with up to 20 million Euros (equal to 700 million NT dollars) or 4% of the worldwide annual revenue of the prior financial year. The aim is to promote free movement of personal data within the European Union, while maintaining adequate level of data protection. It is a technology-neutral law, any type of technology which is for processing personal data is applicable. So problem about whether the data on blockchain fits GDPR regulation has raise. Since the blockchain is decentralized, one of the original design goals is to avoid a large amount of centralized data being abused. Blockchain can be divided into permissioned blockchains and permissionless blockchains. The former can also be called “private chains” or “alliance chains” or “enterprise chains”, that means no one can join the blockchain without consent. The latter can also be called “public chains”, which means that anyone can participate on chain without obtaining consent. Sometimes, private chain is not completely decentralized. The demand for the use of blockchain has developed a hybrid of two types of blockchain, called “alliance chain”, which not only maintains the privacy of the private chain, but also maintains the characteristics of public chains. The information on the alliance chain will be open and transparent, and it is in conflict with the application of GDPR. III. How to GDPR apply to blockchain ? First, it should be determined whether the data on the blockchain is personal data protected by GDPR. Second, what is the relationship and respective responsibilities of the data subject, data controller, and data processor? Finally, we discuss the common technical characteristics of blockchain and how it is applicable to GDPR. 1. Data on the blockchain is personal data protected by GDPR? First of all, starting from the technical characteristics of the blockchain, blockchain technology is commonly decentralized, anonymous, immutable, trackable and encrypted. The other five major characteristics are immutability, authenticity, transparency, uniqueness, and collective consensus. Further, the blockchain is an open, decentralized ledger technology that can effectively verify and permanently store transactions between two parties, and can be proved. It is a distributed database, all users on the chain can access to the database and the history record, also can directly verify transaction records. Each nodes use peer-to-peer transmission for upload or transfer information without third-party intermediation, which is the unique “decentralization” feature of the blockchain. In addition, the node or any user on the chain has a unique and identifiable set of more than 30 alphanumeric addresses, but the user may choose to be anonymous or provide identification, which is also a feature of transparency with pseudonymity[2]; Data on blockchain is irreversibility of records. Once the transaction is recorded and updated on the chain, it is difficult to change and is permanently stored in the database, that is to say, it has the characteristics of “tamper-resistance”[3]. According to Article 4 (1) of the GDPR, “personal data” means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person. Therefore, if data subject cannot be identified by the personal data on the blockchain, that is an anonymous data, excluding the application of GDPR. (1) What is Anonymization? According to Opinion 05/2014 on Anonymization Techniques by Article 29 Data Protection Working Party of the European Union, “anonymization” is a technique applied to personal data in order to achieve irreversible de-identification[4]. And it also said the “Hash function” of blockchain is a pseudonymization technology, the personal data is possible to be re-identified. Therefore it’s not an “anonymization”, the data on the blockchain may still be the personal data stipulated by the GDPR. As the blockchain evolves, it will be possible to develop technologies that are not regulated by GDPR, such as part of the encryption process, which will be able to pass the court or European data protection authorities requirement of anonymization. There are also many compliance solutions which use technical in the industry, such as avoiding transaction data stored directly on the chain. 2. International data transmission Furthermore, in accordance with Article 3 of the GDPR, “This Regulation applies to the processing of personal data in the context of the activities of an establishment of a controller or a processor in the Union, regardless of whether the processing takes place in the Union or not. This Regulation applies to the processing of personal data of data subjects who are in the Union by a controller or processor not established in the Union, where the processing activities are related to: (a) the offering of goods or services, irrespective of whether a payment of the data subject is required, to such data subjects in the Union; or (b) the monitoring of their behaviour as far as their behaviour takes place within the Union”.[5] In other words, GDPR applies only when the data on the blockchain is not anonymized, and involves the processing of personal data of EU citizens. 3. Identification of data controllers and data processors Therefore, if the encryption technology involves the public storage of EU citizens' personal data and passes it to a third-party controller, it may be identified as the “data controller” under Article 4 of GDPR, and all nodes and miners of the platform may be deemed as the “co-controller” of the data, and be assumed joint responsibility with the data controller by GDPR. For example, the parties can claim the right to delete data from the data controller. In addition, a blockchain operator may be identified as a “processor”, for example, Backend as a Service (BaaS) products, the third parties provide network infrastructure for users, and let users manage and store personal data. Such Cloud Services Companies provide online services on behalf of customers, do not act as “data controllers”. Some commentators believe that in the case of private chains or alliance chains, such as land records transmission, inter-bank customer information sharing, etc., compared to public chain applications: such as cryptocurrencies (Bitcoin for example), is not completely decentralized, and more likely to meet GDPR requirements[6]. For example, in the case of a private chain or alliance chain, it is a closed platform, which contains only a small number of trusted nodes, is more effective in complying with the GDPR rules. 4. Data subject claims In accordance with Article 17 of the GDPR, The data subject shall have the right to obtain from the controller the erasure of personal data concerning him or her without undue delay and the controller shall have the obligation to erase personal data without undue delay under some grounds. Off-chain storage technology can help the blockchain industry comply with GDPR rules, allowing offline storage of personal data, or allow trusted nodes to delete the private key of encrypted information, which leaving data that cannot be read and identified on the chain. If the data is in accordance with the definition of anonymization by GDPR, there is no room for GDPR to be applied. IV. Conclusion In summary, it’s seem that the application of blockchain to GDPR may include: (a) being difficulty to identified the data controllers and data processors after the data subject upload their data. (b) the nature of decentralized storage is transnational storage, and Whether the country where the node is located, is meets the “adequacy decision” of Article 45 of the GDPR. If it cannot be met, then it needs to consider whether it conforms to the transfers subject to appropriate safeguards of Article 46, or the derogations for specific situations of Article 49 of the GDPR. Reference: [1] How to Trade Cryptocurrency: A Guide for (Future) Millionaires, https://wikijob.com/trading/cryptocurrency/how-to-trade-cryptocurrency [2] DONNA K. HAMMAKER, HEALTH RECORDS AND THE LAW 392 (5TH ED. 2018). [3] Iansiti, Marco, and Karim R. Lakhani, The Truth about Blockchain, Harvard Business Review 95, no. 1 (January-February 2017): 118-125, available at https://hbr.org/2017/01/the-truth-about-blockchain [4] Article 29 Data Protection Working Party, Opinion 05/2014 on Anonymisation Techniques (2014), https://www.pdpjournals.com/docs/88197.pdf [5] Directive 95/46/EC (General Data Protection Regulation), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32016R0679&from=EN [6] Queen Mary University of London, Are blockchains compatible with data privacy law? https://www.qmul.ac.uk/media/news/2018/hss/are-blockchains-compatible-with-data-privacy-law.html
An Analysis of the Recusal Mechanism in the Latest Revision of the Government Procurement Act and Regulations Governing Procurements for Scientific and Technological Research and DevelopmentAn Analysis of the Recusal Mechanism in the Latest Revision of the Government Procurement Act and Regulations Governing Procurements for Scientific and Technological Research and Development 1. Introduction Article 1 of the Government Procurement Act (hereinafter referred to as the Act) reveals that “This Act is enacted to establish a government procurement system that has fair and open procurement procedures, promotes the efficiency and effectiveness of government procurement operation, and ensures the quality of procurement.” Therefore, a recusal mechanism for reviewing qualification/disqualification of tenders and bidders is highly essential, for example, the head of the agency or its related persons should disclose the conflict of interests. After amended and promulgated on May 22, 2019 (Presidential Decree Hua-tzung-1 Yi No. 10800049691), the Act was revised with the identical legislative principle of the Act on Recusal of Public Servants Due to Conflicts of Interest. In other words, a more flexible and transparent mechanism has been adopted, which is more advanced and ideal for both procurement authority and external supervisors. 2. The New Recusal Mechanism of the Act Enhances the Flexibility and Transparency The revision struck out the Paragraph 4, Article 15 of the Act, and the regulation related to the recusal mechanism shall be comply with the Act on Recusal of Public Servants Due to Conflicts of Interest, especially the qualification/disqualification provision of the “related persons.” The new government procurement procedure adopted a more flexible and transparent practice, “disclosure in advance and publication afterwards.” The detailed analysis is as follows. (1) Before the Act amended, the personnel of a procuring entity and its related persons shall withdraw themselves from the procurement. Before the Act amended, the personnel of a procuring entity and its related persons shall withdraw themselves from the procurement. According to the previous Paragraph 4 of Article 15 (4), “Suppliers or persons in charge shall not participate in the procurement if they have connections with the agency’s head described in Paragraph 2. However, if the implementation of this paragraph is against fair competition or public interest, the exclusion can be exempted with the authority’s approval.” The Paragraph 2 mentioned specified, “The personnel of a procuring entity shall withdraw themselves from procurement and all related matters thereof if they or their spouses, relatives by blood or by marriage within three degrees, or family members living together with them have interests involved therein.” Simply put, legislators considered that suppliers or persons in charge shall not participate in an agency's procurement if they have conflict of interests with its head. For instance, the spouses, all the relatives within the third degree by consanguinity (blood) or by affinity (marriage), or family members living together with the head of the agency, cannot involve in the procurement of the agency. Furthermore, if a legal entity or an organization is directed by the relatives of the head of a government agency mentioned, it is disqualified from the procurement. (2) After the Act amended, the recusal of related persons substituted by self-disclosure and information publication norms According to the Amendment, the Act was amended because the content of the article is existed in Article 9 of Act on Recusal of Public Servants Due to Conflicts of Interest; thus, Article 15 of the Act is hereby deleted. Recalling Article 9 of the previous Act on Recusal of Public Servants Due to Conflicts of Interest, “A public servant and his related persons shall not conduct transactions such as subsidizing, sales, lease, contracting, or other transactions conducted with consideration with the organ with which the public servant serves or the organs under his supervision.” For this reason, the amendment to Article 15 of Government Procurement Act is to regulate the mechanism of withdrawal of relevant parties by Article 14 of the existing Act on Recusal of Public Servants Due to Conflicts of Interest. However, the amendment of this article is greatly affected by the interpretation of judicial court no. 716, so it is necessary to briefly describe its key points as follows. On the basis of the Judicial Yuan Justice Interpretation No. 716 [Transactions between public officials and their associates and service agencies shall be prohibited), adopting a constitutional interpretation of Article 9 of Act on Recusal of Public Servants Due to Conflicts of Interest, grand justice agreed this article does not contradict the proportion principle of article 23 of Constitution of the Republic of China (Taiwan), and it does not violate Article 15 “The right of existence, the right of work, and the right of property shall be guaranteed to the people” and Article 22 “All other freedoms and rights of the people that are not detrimental to social order or public welfare shall be guaranteed under the Constitution”, either. However, for public officials, if they are not allowed to participate in trading competition, it will result in the monopoly of other minority traders, which is not conducive to the public interest. Therefore, this interpretation holds that if the agency has conducted open and fair procedures in the transaction process, and there is sufficient anti-fraud regulation, whether there is still a risk of improper benefit transmission or conflict of interest, and it is necessary to prohibit the transaction of public officials' associates, the relevant authorities should make comprehensive review and improvement as soon as possible. Accordingly, following interpretation no. 716, Act on Recusal of Public Servants Due to Conflicts of Interest was amended and published with 23 articles on 13 June, 2018. The withdrawal of interested parties is provided for in Article 14 and an additional six exceptions are provided, including: (1) The procurement carried out by public notice under the Government Procurement Act or pursuant to Article 105 of the same Act. (2) The property right in interest created for the procurement, sale by tender, lease by tender or tender solicitation carried out by public notice in a fair competitive manner pursuant to laws. (3) Subsidy requested in the legal capacity under laws; the subsidy to the public servant’s related person in an open and fair manner pursuant to laws, or the subsidy which might be against the public interest if it is prohibited and is granted subject to the competent authority’s approval. (4) The subject matter of the transaction is provided by the organ with which the public servant serves or the organs under his supervision, and traded at the official price. (5) The lease, acquisition, discretionary management, improvement and utilization of national non-public real estate requested by the state-owned enterprise in order to execute the national construction projects or public policies, or for the purpose of public welfare. (6) The subsidy and transaction under the specific amount. The above amendments make the transactions between public officials and related parties that should be avoided in the past partially flexible now. In accordance with Paragraph 2 of the same article, in the case of the first three paragraphs of the proviso of Paragraph 1, the applicant or bidder shall voluntarily state his/her identity in the application or tender documents. After the subsidy or transaction is established, the agency shall disclose it together with its identity. That is to say, the self-disclosure is required beforehand and the information will go public afterwards to meet public expectations of transparency. This is also conducive to the supervision of all sectors, and conforms to the intention of the grand justice’s interpretation. The reason why there is no need for government procurement to withdrawal is that the announcement process of the procurement is made in accordance with Government Procurement Act (including open tendering, selective tendering and restricted tendering through the announcement). There are strict procedures to follow and there is no conflict between the conflict of interest of public officials and the spirit of legislation. As to Paragraph 2 of other legal orders, the property right in interest created for the procurement, sale by tender, lease by tender or tender solicitation carried out by public notice in a fair competitive manner pursuant to laws. The legislative explanations are exemplified by the procurement (e.g. procurements for scientific and technological research and development) handled by the announcement in accordance with Fundamental Science and Technology Act. 3. Conclusion: It is suggested that relevant withdrawal regulations should be amended as soon as possible in procurements for scientific and technological research and development The strike-out of the recusal provision of the Act does not mean that government procurement stoke out the recusal mechanism. The recusal mechanism is still stated in Article 14 of Act on Recusal of Public Servants Due to Conflicts of Interest. In addition to the advantages of the same regulations on the prohibition of transactions between related parties, it also enables the regulators with open and fair procedures and sufficient prevention of fraud, such as government procurement, to avoid evading so as not to harm the public interest. At the same time, supplemented by open and transparent disclosure, the amendment is a positive change of legislation. Meanwhile, this paper believes that Government Procurement Act has adopted the mechanism of flexibility and transparency requirements for the procurement object avoidance regulations, and procurements for scientific and technological research and development should revise relevant withdrawal regulations as soon as possible. In accordance with Paragraph 4 of Article 6 of Fundamental Science and Technology Act and the authorization, Regulations Governing Procurements for Scientific and Technological Research and Development (hereinafter referred to as the regulatory regulations) is established. According to Article 8 (2) and (3) of the regulation, a responsible person, partner, or representative of the public school, public research institute (organization), or juristic person or entity performing the scientific research procurement may not serve as a responsible person, partner, or representative of the supplier. The supplier and the juristic person or entity performing the scientific research procurement may not at the same time be affiliated with each other, or affiliated to the same other enterprise. From the perspective of the article structure, the withdrawal regulation for scientific research procurement is within the norm of Article 15 of Government Procurement Act before the amendment, but it includes regulations for affiliated enterprises, which is not included in Article 15. The amendment to Article 14 of Act on Recusal of Public Servants Due to Conflicts of Interest also states that the proviso of Paragraph 1 of scientific research procurement “other procurements that are regulated by fair competition and by means of an announcement procedure” can also prove that the mechanism for scientific research procurement should adopt this provision. Therefore, it is recommended that the original procurements for scientific and technological research that is independent from Government Procurement Act should be amended by the competent authority as soon as possible in order to comply with the relevant provisions of Article 8 of Regulations Governing Procurements for Scientific and Technological Research and Development and to comply with the original intention of the Regulations Governing Procurements for Scientific and Technological Research and Development, and to avoid stricter regulations on scientific procurement than government procurement. Meanwhile, it is in accordance with the spirit of the grand justice’s interpretation No. 716.