A Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited Partnerships

A 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.

Links
※A Before and After Impact Comparison of Applying Statute for Industrial Innovation Article 23-1 Draft on Venture Capital Limited Partnerships,STLI, https://stli.iii.org.tw/en/article-detail.aspx?no=105&tp=2&i=168&d=8026 (Date:2025/01/15)
Quote this paper
You may be interested
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

Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance

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.

Suggestions for MOEA Trial Program of Voluntary Base Green Electricity Framework

On March 6, 2014, The Energy Bureau of Ministry of Economic Affairs has published a pre-announcement on a Trial Program of Voluntary Base Green Electricity Framework (hereafter the Trial Program) and consulted on public opinion. In light of the content of the Trial Program, STLI provide the following suggestions for future planning of related policy structure. The institution of green electricity as established by the Trial Program is one of the policies for promoting renewable energy. Despite its nature of a trial, it is suggested that a policy design with a more options will be beneficial to the promotion of renewable energy, in light of various measures that have been undertaken by different countries. According to the Trial Program, the planned price rate of the green electricity is set on the basis of the total sum that the electricity subsidy to be paid by the Renewable Energy Development Fund divided by the total sum of electricity generated reported by Tai Power Company. The Ministry of Economic Affairs will adjust the price rate of the green electricity on the base of both how many users subscribe to the green electricity and the price rate of international green electricity market rate and, then announce the price rate in October of each year if not otherwise designated. In addition, according to the planned Trial Program, the unit for the subscription of green electricity is 100 kW·h. It is further reported that the current planned price rate for green electricity is 1.06 NTD/ kW·h. And it shall be 3.95 NTD/ kW·h if adding up with the original price rate, with an 37% increase in price per kW·h. In terms of the existing content of the Trial Program, only single price rate will be offered during the trial period. In this regard, we take the view that it would be beneficial to take into account similar approaches that have been taken by other countries. In Germany, for instance, the furtherance of renewable energy is achieved by the obligatory charge(EEG Umlage)together with the voluntary green electricity program provided by the private electricity retail sectors. According to German Ministry of Economics and Energy (BMWi), the electricity price that the German public pays includes three parts: (1)the cost of the purchase and distribution of the electricity, including the margin of the electricity provider(2)regulated network fees, including those for the operation as well as for the measurement works of the meters(3)charges imposed by the government, including tax and the abovementioned obligatory charge for renewable energy(EEG Umlage), as prescribed by the Act on Renewable Energy (Gesetz für den Vorrang Erneuerbarer Energien, also known as Erneuerbare-Energien-Gesetz - EEG). In terms of how it is implemented on the ground, an example of the green electricity price menu program from the German electricity retail company, Vattenfall, is given in the following. In all price menu programs provided by Vattenfall in Berlin, for instance, 29.4% of the electricity comes from renewable energy as a result of the implementation of the Act on Renewable Energy. Asides from the abovementioned percentage as facilitated by the existing obligatory measures, the electricity retail companies in Germany further provide the price menus that are “greener”. For example, among the options provided by Vattenfall(Chart I), in terms of the 12-month program, one can choose the menu which consist of 39.4% of renewable energy, with the price of 0.2642 Euro/ kW·h(about 10.96 NTD/ kW·h). One can also opt for a menu of which the energy supply comes from 100% of renewable energy, with the price of 0.281 Euro/ kW·h(about 11.66 NTD/ kW·h) Chart I : Green Electricity Price Menus provided by Vattenfall in Berlin, Germany Percentage of Renewable Energy Supply Percentage of Renewable Energy Supply Electricity Price 12-month program 39.4% 0.2642 Euro/ kW·h(about 10.96 NTD/ kW·h) All renewable energy program 100% 0.281 Euro/ kW·h(about 11.66 NTD/ kW·h) Source:Vattenfall website, translated and reorganized by STLI, April 214. In addition, Australia also has similar programs on green electricity that is voluntary-base and with the goal of promoting renewable energy, reducing carbon emission, and transforming energy economy. Since 1997, the GreenPower in Australia is in charge of audition and certification of the retail companies and power plants on green electricity. The Australian model uses the certification mechanism conducted by independent third party, to ensure the green electricity purchased by end users in compliance with specific standards. As for the options for the price menu, take the programs of green electricity offered by the Australian retail company Origin Energy for example, user can choose 6 kinds of different programs, which are composed by renewable energy supply of respectively 10%, 20%, 25%, 50%, 75%, and 100%, at various price rates (shown in Chart II). Chart II Australian Green Electricity Programs provided by Origin Energy Percentage of renewable Energy Electricity Price per kW·h 0 0.268 AUD(About 7.52 NTD) 10% 0.274868 AUD(About 7.69 NTD) 20% 0.28006 AUD(About 7.84 NTD) 25% 0.28292 AUD(About 7.92 NTD) 50% 0.2838 AUD(About 7.95 NTD) 100% 0.2992 AUD(About 8.37 NTD) Source:Origin Energy website, translated and reorganized by STLI, April 214. Given the information above, it can thus be inferred that the international mechanism for the promotion of green electricity often include a variety of price menus, providing the user more options. Such as two difference programs offered by Vattenfall in Germany and six various rates for green electricity offered by Origin Energy in Australia. It is the suggestion of present brief that the Trial Program can reference these international examples and try to offer the users a greater flexibility in choosing the most suitable programs for themselves.

Research on Policies for building a digital nation in Recent Years (2016-2017)

Research on Policies for building a digital nation in Recent Years (2016-2017)   Recent years, the government has already made some proactive actions, including some policies and initiatives, to enable development in the digital economy and fulfill the vision of Digital Nation. Those actions are as follows: 1. CREATING THE “FOOD CLOUD” FOR FOOD SAFETY CONTROLS   Government agencies have joined forces to create an integrated “food cloud” application that quickly alerts authorities to food safety risks and allows for faster tracing of products and ingredients. The effort to create the cloud was spearheaded by the Executive Yuan’s Office of Food Safety under the leadership of Vice Premier Chang San-cheng on January 12, 2016.   The “food cloud” application links five core systems (registration, tracing, reporting, testing, and inspection) from the Ministry of Health and Welfare (MOHW) with eight systems from the Ministry of Finance, Ministry of Economic Affairs, Ministry of Education (MOE), Council of Agriculture and Environmental Protection Administration.   The application gathers shares and analyzes information in a methodical and systematic manner by employing big data technology. To ensure the data can flow properly across different agencies, the Office of Food Safety came up with several products not intended for human consumption and had the MOHW simulate the flow of those products under import, sale and supply chain distribution scenarios. The interministerial interface successfully analyzed the data and generated lists of food risks to help investigators focus on suspicious companies.   Based on these simulation results, the MOHW on September 2, 2015, established a food and drug intelligence center as a mechanism for managing food safety risks and crises on the national level. The technologies for big data management and mega data analysis will enable authorities to better manage food sources and protect consumer health.   In addition, food cloud systems established by individual government agencies are producing early results. The MOE, for instance, rolled out a school food ingredient registration platform in 2014, and by 2015 had implemented the system across 22 countries and cities at 6,000 schools supplying lunches for 4.5 million students. This platform, which made school lunch ingredients completely transparent, received the 2015 eAsia Award as international recognition for the use of information technology in ensuring food safety. 2. REVISING DIGITAL CONVERGENCE ACTS   On 2016 May 5th, the Executive Yuan Council approved the National Communications Commission's (NCC) proposals, drafts of “Broadcasting Terrestrial and Channel Service Suppliers Administration Act”, “Multichannel Cable Platform Service Administration Act”, “Telecommunications Service Suppliers Act”, “Telecommunications Infrastructure and Resources Administration Act”, “Electronic Communications Act”, also the five digital convergence laws. They will be sent to the Legislature for deliberation. But in the end, this version of five digital convergence bills did not pass by the Legislature.   However, later on, November 16, 2017, The Executive Yuan approved the new drafts of “Digital Communication Act” and the “Telecommunication Service Management Act”.   The “Digital Communication Act” and the “Telecommunication Service Management Act” focused summaries as follows:   1. The digital communication bill   A. Public consultation and participation.   B. The digital communication service provider ought to use internet resource reasonability and reveal network traffic control measures.   C. The digital communication service provider ought to reveal business information and Terms of Service.   D. The responsibility of the digital communication service provider.   2. The telecommunication service management bill   A. The telecommunication service management bill change to use registration system.   B. The general obligation of telecommunications to provide telecommunication service and the special obligation of Specific telecommunications.   C. Investment, giving, receiving and merging rules of the telecommunication service.   Telecommunications are optimism of relaxing rules and regulations, and wish it would infuse new life and energy into the market. Premier Lai instructed the National Communications Commission and other agencies to elucidate the contents of the two communication bills to all sectors of society, and communicate closely with lawmakers of all parties to build support for a quick passage of the bills. 3. FOCUSING ON ICT SECURITY TO BUILD DIGITAL COUNTRIES   The development of ICT has brought convenience to life but often accompanied by the threat of illegal use, especially the crimes with the use of new technologies such as Internet techniques and has gradually become social security worries. Minor impacts may cause inconvenience to life while major impacts may lead to a breakdown of government functions and effects on national security. To enhance the capability of national security protection and to avoid the gap of national security, the Executive Yuan on August 1st 2016 has upgraded the Office of Information and Communication Security into the Agency of Information and Communication Security, a strategic center of R.O.C security work, integrating the mechanism of the whole government governance of information security, through specific responsibility, professionalism, designated persons and permanent organization to establish the security system, together with the relevant provisions of the law so that the country's information and communication security protection mechanism will become more complete. The efforts to the direction could be divided into three parts:   First, strengthening the cooperation of government and private sectors of information security: In a sound basis of legal system, the government plans to strengthen the government and some private sectors’ information security protection abilities ,continue to study and modify the relevant amendments to the relevant provisions, strengthen public-private collaborative mechanism, deepen the training of human resources and enhance the protection of key information infrastructure of our country.   Second, improving the information and communication security professional capability: information and communication security business is divided into policy and technical aspects. While the government takes the responsibility for policy planning and coordination, the technical service lies in an outsourcing way. Based on a sound legal system, the government will establish institutionalized and long-term operation modes and plan appropriate organizational structures through the discussion of experts and scholars from all walks of life.   Third, formulating Information and Communication Safety Management Act and planning of the Fifth National Development Program for Information and Communication Security: The government is now actively promoting the Information and Communication Safety Management Act as the cornerstone for the development of the national digital security and information security industry. The main content of the Act provides that the applicable authorities should set up security protection plan at the core of risk management and the procedures of notification and contingency measures, and accept the relevant administrative check. Besides the vision of the Fifth National Development Program for Information and Communication Security which the government is planning now is to build a safe and reliable digital economy and establish a safe information and communication environment by completing the legal system of information and communication security environment, constructing joint defense system of the national Information and Communication security, pushing up the self-energy of the industries of information security and nurture high-quality human resources for elite talents for information security. 4. THE DIGITAL NATION AND INNOVATIVE ECONOMIC DEVELOPMENT PLAN   The Digital Nation and Innovative Economic Development Plan (2017-2025) known as “DIGI+” plan, approved by the Executive Yuan on November 24, 2016. The plan wants to grow nation’s digital economy to NT $ 6.5 trillion (US$205.9 billion), improve the digital lifestyle services penetration rate to 80 %, increase broadband connections to 2 Gbps, ensure citizens’ basic rights to have 25 Mbps broadband access, and put our nation among the top 10 information technology nations worldwide by 2025.   The plan contains several important development strategies: DIGI+ Infrastructure: Build infrastructure conducive to digital innovation. DIGI+ Talent: Cultivate digital innovation talent. DIGI+ Industry: Support cross-industry transformation through digital innovation. DIGI+ Rights: Make R.O.C. an advanced society that respects digital rights and supports open online communities. DIGI+ Cities: Build smart cities through cooperation among central and local governments and the industrial, academic and research sectors. DIGI+ Globalization: Boost nation’s standing in the global digital service economy.   The plan also highlights few efforts:   First is to enrich “soft” factors and workforce to create an innovative environment for digital development. To construct this environment, the government will construct an innovation-friendly legal framework, cultivate interdisciplinary digital talent, strengthen research and develop advanced digital technologies.   Second is to enhance digital economy development. The government will incentivize innovative applications and optimize the environment for digital commerce.   Third, the government will develop an open application programming interface for government data and create demand-oriented, one-stop smart government cloud services.   Fourth, the government will ensure broadband access for the disadvantaged and citizens of the rural area, implement the participatory process, enhance different kinds of international cooperation, and construct a comprehensive humanitarian legal framework with digital development.   Five is to build a sustainable smart country. The government will use smart network technology to build a better living environment, promote smart urban and rural area connective governance and construction and use on-site research and industries innovation ecosystem to assist local government plan and promote construction of the smart country.   In order to achieve the overall effectiveness of the DIGI + program, interdisciplinary, inter-ministerial, inter-departmental and inter-departmental efforts will be required to collaborate with the newly launched Digital National Innovation Economy (DIGI +) Promotion Team. 5. ARTIFICIAL INTELLIGENCE SCIENTIFIC RESEARCH STRATEGY   The Ministry of Science and Technology (MOST) reported strategy plan for artificial intelligence (AI) scientific research at Cabinet meeting on August 24, 2017. Artificial intelligence is a powerful and inevitable trend, and it will be critical to R.O.C.’s competitiveness for the next 30 years.   The ministry will devote NT$16 billion over the next five years to building an AI innovation ecosystem in R.O.C. According to MOST, the plan will promote five strategies:   1. Creating an AI platform to provide R&D services   MOST will devote NT$5 billion over the next four years to build a platform, integrating the resources, providing a shared high-speed computing environment and nurturing emerging AI industries and applications.   2. Establishing an AI innovative research center   MOST will four artificial intelligence innovation research centers across R.O.C. as part of government efforts to enhance the nation’s competitiveness in AI technology. The centers will support the development of new AI in the realms of financial technology, smart manufacturing, smart healthcare and intelligent transportation systems.   3. Setting up AI robot maker spaces   An NT$2 billion, four-year project assisting industry to develop the hardware-software integration of robots and innovative applications was announced by the Ministry of Science and Technology.   4. Subsidizing a semiconductor “moonshot” program to explore ambitious and groundbreaking smart technologies   This program will invest NT$4 billion from 2018 through 2021 into developing semiconductors and chip systems for edge devices as well as integrating the academic sector’s R&D capabilities and resources. the project encompasses cognitive computing and AI processor chips; next-generation memory designs; process technologies and materials for key components of sensing devices; unmanned vehicles, AR and VR; IoT systems and security.   5. Organizing Formosa Grand Challenge competitions   The program is held in competitions to engage young people in the development of AI applications.   The government hopes to extend R.O.C.’s industrial advantages and bolster the country’s international competitiveness, giving R.O.C. the confidence to usher in the era of AI applications. All of these efforts will weave people, technologies, facilities, and businesses into a broader AI innovation ecosystem. 6. INTELLIGENT TRANSPORTATION SYSTEM PLANS   Ministry of Transportation and Communications (MOTC) launched plans to develop intelligent transportation systems at March 7th in 2017. MOTC integrates transportation and information and communications technology through these plans to improve the convenience and reduce the congestion of the transportation. These plans combine traffic management systems for highways, freeways and urban roads, a multi-lane free-flow electronic toll collection system, bus information system that provides timely integrated traffic information services, and public transportation fare card readers to reduce transport accidence losses, inconvenience of rural area, congestion of main traffic arteries and improve accessibility of public transportation.   There are six plans are included: 1. Intelligent transportation safety plan; 2. Relieve congestion on major traffic arteries; 3. Make transportation more convenient in Eastern Taiwan and remote areas; 4. Integrate and share transportation resources; 5. Develop “internet-of-vehicles” technology applications; and 6. Fundamental R&D for smart transportation technology.   These plans promote research and development of smart vehicles and safety intersections, develop timely bus and traffic information tracking system, build a safe system of shared, safe and green-energy smart system, and subsidize the large vehicles to install the vision enhancement cameras to improve the safety of transportation. These plans also use eTag readers, vehicle sensors and info communication technologies to gather the traffic information and provide timely traffic guidance, reduce the congestion of the traffic flow. These plans try to use demand-responsive transit system with some measures such as combine public transportation and taxi, to improve the flexibility of the public traffic service and help the basic transportation needs of residents in eastern Taiwan and rural areas to be fulfilled. A mobile transport service interface and a platform that integrating booking and payment processes are also expected to be established to provide door-to-door transportation services and to integrate transportation resources. And develop demonstration projects of speed coordination of passenger coach fleets, vehicle-road interaction technology, and self-driving car to investigate and verify the issues in technological, operational, industrial, legal environments of internet-of-vehicles applications in our country. Last but not least, research and development on signal control systems that can be used in both two and four-wheeled vehicles, and deploy an internet-of-vehicles prototype platform and develop drones traffic applications.   These plans are expected to reduce 25% traffic congestion, 20% of motor vehicle incidence, leverage 10% using rate of public transportation, raise 20% public transportation service accessibility of rural area and create NT$30 billion production value. After accomplishing these targets, the government can establish a comprehensive transportation system and guide industry development of relating technology areas.   Through the aforementioned initiatives, programs, and plans, the government wants to construct the robust legal framework and policy environment for digital innovation development, and facilitate the quality of citizens in our society.

TOP