区块链与财务管理的发展走向是什么,区块链与财务管理的发展走向关系

近年来，随着区块链技术的发展，区块链与财务管理的发展趋势也在不断拓展。本文将介绍三个相关关键词，分别是：区块链财务报表，区块链财务自动化，以及区块链财务管理系统。

区块链财务报表是指通过使用区块链技术来构建财务报表的方法。这种技术可以帮助企业更快地收集和分析财务数据，从而更有效地管理自己的财务状况。区块链财务报表可以使企业更容易地收集、分析和报告财务数据，从而更好地了解自己的财务状况。此外，这种技术还可以帮助企业更好地管理财务风险，更有效地实现财务目标。

区块链财务自动化是指使用区块链技术来实现财务自动化的方法。这种技术可以帮助企业更快地收集和分析财务数据，从而更有效地管理自己的财务状况。区块链财务自动化可以使企业更容易地收集、分析和报告财务数据，从而更好地了解自己的财务状况。此外，这种技术还可以帮助企业更好地管理财务风险，更有效地实现财务目标。

区块链财务管理系统是指使用区块链技术来构建财务管理系统的方法。这种技术可以帮助企业更快地收集和分析财务数据，从而更有效地管理自己的财务状况。区块链财务管理系统可以使企业更容易地收集、分析和报告财务数据，从而更好地了解自己的财务状况。此外，这种技术还可以帮助企业更好地管理财务风险，更有效地实现财务目标。

总之，区块链与财务管理的发展趋势正在不断拓展，区块链财务报表、区块链财务自动化以及区块链财务管理系统都是其中的关键词，它们可以帮助企业更快地收集和分析财务数据，从而更有效地管理自己的财务状况。

1. What are the main development trends of supply chain blockchain?

The main development trends include digitalization, intelligence, sustainability, collaboration, globalization, etc.

2. Big data and blockchain technology are changing the accounting industry

As the most popular technologies at the moment, big data and blockchain are very important to the reform of the accounting industry. Influence. Big data technology has increased the amount of digitizable accounting information, enabled the digitization of original financial information and non-financial information, and expanded the management scope of financial personnel, especially senior financial personnel. In the process of informatization, accounting is faced with the fact that the reliability of accounting information cannot be guaranteed. The digitization of false accounting information will affect marketing management decisions. The birth of blockchain technology has solved the problem of the reliability of accounting data. question. The accounting industry must seize opportunities and actively use big data and blockchain technology to promote industry changes. At the same time, accounting practitioners must also adapt to industry changes by improving their professional qualities.

In terms of big data's accounting data information, due to the characteristics of big data itself, when companies involve big data analysis, they need more overall data rather than sampled data samples. They need data. The overall relationship rather than individual data to enhance the relevance of accounting data information. Accounting data information can be learned through big data platforms about the accounting treatment methods and accounting methods adopted by different companies for the same type of projects, making it easier to compare between companies. At the same time, under the background of big data, enterprises can process and transmit accounting data information in a timely manner through the Internet to ensure the timeliness of accounting data information.

Due to its "decentralization" idea, blockchain can be used to process accounting data and information, which can effectively ensure the correlation between data. At the same time, due to the trust-free nature of blockchain, Decentralization also enhances the security of information transmission and can prevent theft and tampering of information to the greatest extent, thereby solving information security problems and ensuring the reliability and authenticity of accounting data information. At the same time, under blockchain technology, when there is a new update to the information, the information on all nodes will be updated and cannot be modified, making the information more timely. When the blockchain records information, users in the chain network need to confirm the authenticity of the accounting behavior. After recording, it cannot be modified. Each party maximizes the interests of the data, thus making some bad phenomena completely disappear.

Accounting has gone from traditional simple bookkeeping to today's reasonable tax payment. In the future, more aspects of management will be carried out through the management of financial data. Facilitated by big data and blockchain, the previous branches of accounting, financial accounting and management accounting, will merge. The new platform brought about by the introduction of big data technology and blockchain technology will allow accountants to not only become accounting experts, but also programmers who perform professional management of big data, that is, there are many types of auxiliary skillsAccounting talents have become new accounting talents with outstanding value in the new era, which will promote the accelerated integration of management accounting and financial accounting.

Big data and blockchain technology integrate accounting data information, increase the quantity of accounting information and ensure the quality of accounting information, making financial management capabilities a necessary ability for accountants, senior accountants Your management capabilities will be strongly highlighted. Accountants engaged in basic accounting work are also facing the test of changes in the accounting industry and need to master more management accounting and information decision-making.

Faced with massive amounts of accounting data, accounting practitioners need to master a variety of efficient data analysis methods through big data technology, comprehensively analyze and judge data information, so as to help enterprises make correct plans. Also propose problem-solving strategies. Accountants organically combine computer technology with accounting knowledge, and use big data and blockchain technology to gradually modify traditional account books into a new platform based on big data and blockchain technology.

3. Application of blockchain in the financial field

1. Application and development of blockchain

Some Internet, Internet start-ups and traditional finance The industry has begun to try and apply blockchain in some projects

2. Domestic financial institutions are testing the waters of blockchain

Various financial institutions are testing the waters one after another, and they are basically in the conceptual experimental stage and have not yet Large-scale commercial use.

3. Panoramic view of blockchain application in the financial field

4. Ghostwriting

5. Digital bills

Bills are an important financial product in the financial market. They have dual functions of payment and financing. They are of high value and bear bank credit or commercial credit. Once a bill is issued, its face amount, date and other important information cannot be changed. Bills also have circulation attributes and can be accepted, endorsed, discounted, rediscounted, collected and other transactions within a specific life cycle. Once the transaction is completed, the transaction cannot be revoked. The circulation of bills has two characteristics: first, the circulation of bills mainly occurs through bank acceptance bills, and the number and circulation of commercial acceptance bills are small; second, each bank independently carries out credit granting and risk control for the bill business, and a single bank Risk control results may affect other participants in the bill market transaction chain.

The experimental production system of the digital bill trading platform uses SDC (Smart Draft Chain) blockchain technology, using cryptographic algorithms such as homomorphic encryption and zero-knowledge proof for privacy protection, and through the practical Byzantine fault-tolerant protocol ( PBFT) conducts consensus and uses a see-through mechanism to provide data monitoring.

The experimental production system includes four subsystems: stock exchange, bank, enterprise and monitoring: the stock exchange subsystem is responsible for managing the blockchain and monitoring the digital bill business; the bank subsystem has Digital bills have business functions such as acceptance and receipt, discount signing, rediscounting, and collection and repayment; the enterprise subsystem has business functions such as issuance, acceptance, endorsement, discounting, and prompt payment of digital bills; the monitoring subsystem monitors the status of the blockchain in real time and business happenings

6.

4. In the era of digital economy, new changes in financial management

Article Sourced from the public account: Insight Academy

Author: Wang Yong and Xie Chenying

[Introduction]

In the era of digital economy, digital technologies such as "Great Wisdom Moves the Cloud and Things" It has become an important force in reshaping all walks of life. As an important part of enterprise management, financial management has also been greatly affected and impacted. Traditional financial work processes, management models, management concepts, organizational structures and other aspects have changed to varying degrees. The financial management of enterprises is gradually moving from computerization and informatization to digitalization and intelligence.

What changes will the advancement of digital technology bring to financial management? This article will elaborate on the changes in financial management in the digital economy era from six aspects: financial decision-making, fund management, cost management, financial functions, financial reporting and financial risks.

1. Financial decision-making: from intuitive decision-making that relies on experience to scientific decision-making driven by data algorithms

For a long time, managers have usually made decisions based on experience, intuition, and judgment. Although Results will also be obtained by obtaining data to calculate the model. However, in the past, limited by technical capabilities and incomplete data acquisition, many decision-making models could not be used. Financial decisions were only based on the "small financial data" within the enterprise. , including revenue, costs, profits, assets, liabilities, etc., making it difficult to make reasonable decisions.

In the era of digital economy, the volume and variety of big data provide convenience for managers to use decision-making models, which can lead to more scientific and reasonable results. Big data can not only collect financial information, but also non-financial information; it can collect not only structured data, but also unstructured and semi-structured data; in addition to internal business data of the enterprise, it also extends to the outside of the enterprise, including All interests of the industry, supply chain, competitors, regulatory agencies, government departments, etc.Stakeholder data. Data and algorithms continue to optimize themselves through machine learning, thereby replacing "intuitive experience and brain-based decision-making" with "data-based decision-making".

Take investment decision-making as an example. When making investment decisions, decision-makers in the past were unable to grasp all the information when making decisions, and were easily affected by personal risk preferences and cognitive biases, resulting in subjective decision-making. The investment decision-making model based on big data corrects irrational problems in decision-making, draws more scientific conclusions, and improves the rationality and accuracy of investment decisions. At the same time, by establishing quantitative investment models to help decision-makers process massive data, decision-makers can conduct multi-angle analysis of factors affecting investment results in a short period of time, such as economic cycles, future expectations, profitability, psychological factors, markets, etc., according to the model Analyze the results to make investment decisions, which greatly improves investment efficiency. Empirical studies have shown that there is a positive correlation between an enterprise's investment scale, return on investment and the big data development index, that is, the development of big data is conducive to enterprises making better investment decisions; at the same time, the big data development index and enterprise financing efficiency , endogenous financing rate and debt service rate are all positively correlated. Big data can improve the quality of corporate financing decisions. [1]

Google uses "The Machine" algorithm to approve or reject new investments and follow-on investments. Use the traffic light system to evaluate certain investment indicators by collecting and analyzing data on a specific company's market data, financing amount, co-investment partners, previous investors, industry sectors, and the difference between previous valuations and current valuations. System, a green light indicates a good investment opportunity, a red light indicates no investment, and a yellow light indicates the need to proceed with caution. In the early days of use, it was only used as an auxiliary supporting role in investment due diligence. Now its AI algorithm has entered the investment committee and can evaluate investments, and the accuracy of the evaluation results is very high.

2. Fund management: from internal fund management to full industry chain fund management

In traditional financial management systems, more flat financial management is used to focus on financial management. Focused on transaction processing processes such as account management, fund settlement, fund transfer, and fund reconciliation, it is mainly the management of internal funds of the enterprise.

In the era of digital economy, with the continuous development of digital technology, it can support more complex and diverse fund management models, and financial management will move from two-dimensional to three-dimensional. The capital management of enterprises is no longer limited to the centralized control and allocation of internal funds, but has transformed into a supply chain finance model. Using big data, AI, cloud computing and other technologies, static and dynamic monitoring and management of capital flows in the industrial chain can be carried out. From suppliers, we can carry out supply chain finance and factoring of accounts receivable; to consumers, we can provide consumer credit and activate funds throughout the industry chain. [2]

Mengniu Group has built a fund sharing platform within the company to achieve centralized management and control of funds. All funds are uniformly dispatched, managed and used by the group headquarters. A large number of real-time summariesFund big data makes the cash flow forecast model more accurate, allowing the group to manage internal funds more precisely, more efficiently, and more proactively. In addition to internal fund management, Mengniu has also established a supply chain financing platform to serve upstream and downstream companies outside the company. Through "Internet + Big Data", from the first-level directly connected partner groups of about tens of thousands of Mengniu's upstream and downstream, milk sources, etc., to the second-level of millions of Mengniu ecosystem partners, we can achieve efficient, Low cost financing. Currently, Mengniu has cooperated with a number of financial institutions to carry out supply chain finance business. Through the data channels between the EAS system and banks, upstream and downstream companies can directly log in to the Mengniu supply chain financing platform and raise funds efficiently, making the ecosystem with Mengniu as the core company healthier.

3. Cost management: achieve refined accounting, front-end management and control, and optimize cost control

In terms of cost accounting, activity-based costing is currently a more refined management method, but Due to technical limitations, many operational-level data are difficult to collect, making implementation more complex and difficult.

In the era of digital economy, with the rise of big data, Internet of Things and other technologies, every step and even every detail in production or service can be collected by various intelligent instruments and passed to data processing center for processing. Enterprises can conveniently and quickly obtain and filter various cost-related data, avoiding the tedious manual data screening process, making the activity-based costing method easy to implement. At the same time, the collection of cost data is more accurate and comprehensive, making it easier to determine cost drivers, identify value-added operations, refine cost management, and optimize the cost control process. In fact, due to the application of smart devices and the Internet of Things, some traditional indirect costs have become direct costs. Even if indirect costs need to be allocated, a more accurate allocation factor can be found.

Amani et al. (2017) reviewed the application of data mining technology in cost management at several levels, namely equipment level, process level, construction level, product level and project level. Among them, data mining can be used at the equipment level to evaluate equipment manufacturing costs, thereby improving the accuracy of equipment inspection and repair, and tracking equipment renewal costs; at the process level data mining technology is used to determine cost drivers in cost accounting and help formulate Transfer pricing decisions; at the construction level, fast and accurate cost assessment can be achieved by creating a neural network system; at the product level, data mining can be used to predict the cost of product units and evaluate product life cycle costs; at the project level, data mining can assist in establishing Cost evaluation system includes tangible products and intangible products, such as software and applications. Based on the principle of whole process and multi-level, finance can realize lean management of costs under data mining technology. This is an important application scenario of big data technology in the field of cost management.

In addition, traditional cost control is to track costs after they are incurred. With digital technologyApplications, costs, and expenses are subdivided into different subcategories. Different subcategories can be further extended to establish professional front-end business management systems, such as business travel management systems, brand promotion management systems, communication expense management systems, etc. [3] These front-end business systems and financial systems are seamlessly connected, and the management of cost expenses is front-loaded into the business process to achieve front-end and process-based cost control and supervision.

4. Financial functions: from transaction records and accounting supervision to decision-making support and value creation, to achieve deep integration of industry and finance

The main job of traditional finance is to undertake the financial accounting and supervision of enterprises Functions: Carry out basic work such as report preparation, fund settlement, and submission of financial information. The positioning of the financial role is limited to accounting processing and bookkeeping operations. The financial department is only a functional department and cannot generate added value. It is a "back-office" role.

In the era of digital economy, the functions of finance will undergo major changes. Traditional financial accounting that starts with "vouchers" will gradually be automated and intelligent. Many repetitive and regular financial tasks will be replaced by financial robots. More accounting personnel will be released, and the new financial management model will realize " No accounting”.

McKinsey's "How Automation and Artificial Intelligence Are Reshaping Financial Functions" shows that most financial activities have automation plans, among which transactional activities are the easiest to automate. For general accounting activities, 77% of activities can be fully automated, and 12% of activities can be highly automated. Researchers at Oxford University have also predicted that in the next 20 years, in the British accounting industry, the probability that financial administrators and certified public accountants may be completely replaced by machines is 96.8% and 95.3% respectively.

Financial personnel are transforming from financial accounting focusing on transaction processing to management accounting focusing on decision support, transforming into enablers and innovation leaders. With the help of big data mining technology, we can discover existing problems in business operations and potential development opportunities of the enterprise, participate in business decision-making, and undertake more high-value tasks such as fund management, budget management, and risk control, and fully participate in the operation management and value of the enterprise. Get involved in creative activities.

At the same time, traditional financial work is relatively independent and closed, and it is difficult to effectively integrate with various business work. The phenomenon of "accounting and business two skins" is relatively common. In the digital era, all businesses are digitalized and all data are commercialized. Financial work will be highly integrated with business work. Business information systems and financial information systems are shared in various aspects such as input, processing, storage and output, and the organizational and functional divisions between business and financial personnel will gradually disappear. With the support of digital and intelligent technologies, some of the responsibilities of accountants will be transferred to business personnel, and the trend of "finance for everyone" will gradually become prominent. ("Finance for Everyone" means that finance is business and business is finance; everyone is finance and finance is everyone.people. )

ENN Group is a large group company with a wide range of business sectors and numerous subsidiaries. Its financial sharing center has a wide range of daily operations, and a considerable part of the business processes need to be completed manually. The work intensity of employees is high and It takes a long time. In the digital transformation of finance, ENN Group uses IBM RPA (Robotic Process Automation), rules engine and other technologies to build automated financial robots, introduce virtual employees, and work in the financial sharing center. Automated robots replace humans in completing tasks with high repetition, precise rules and high throughput in business processes, as well as multi-person operations across positions, data verification across data sources, etc.; only exception handling, tasks that require creativity and decision-making are handed over to Manual operation. With the help of RPA technology, ENN Group's Financial Sharing Center not only completes work faster and more efficiently, but also maximizes the value of employees, allowing employees to do work with higher added value to the enterprise.

In the process of financial digital transformation, Midea Group has built a financial sharing platform, restructured its management system, and truly realized "industry and financial integration." After the transformation, financial personnel are freed from duplication of investment and low efficiency, and can devote more resources and energy to auxiliary operations. The financial function has transformed from "office" finance to "business and operation management finance". Through in-depth understanding of the business and in-depth analysis of operating data in each business field, it provides strong data support for business departments, supports corporate operation and management decisions, and improves operating value. In addition, the group has reset the functional positions in each financial module, such as the design of "budget management specialist, cost management specialist, accounting management specialist, R&D cost management specialist, fund management specialist" in the financial management department. All financial work focuses on participating enterprises Business management, not accounting. Financial personnel are freed from traditional daily bookkeeping and go to the front line to participate in the business and provide decision-making support for the business.

5. Financial reporting: from regular, standardized statements to real-time, diversified, and comprehensive statements

Traditional financial reports regularly provide standardized information through the recognition, measurement, and reporting of economic businesses. Financial reports have three characteristics: First, they mainly provide financial data and rarely present non-financial data. It is difficult for financial reports to comprehensively display the financial status, operating performance and development prospects of a company. The second is standardization, which means providing the same format and information to all users, regardless of the individual needs of information users. The third is lag. The traditional "three tables and one note" are oriented to the past and are compiled regularly on a quarterly or annual basis. The feedback on the operating status of the company is lagging behind.

With the emergence of various technologies such as big data, cloud computing, artificial intelligence, image recognition, and machine learning, the rules and methods of accounting information processing are constantly changing, and some institutions have begun to rely on artificial intelligence algorithms. , to achieve intelligent preparation of vouchers and intelligent generation of reports. Can provide diversified financial reports according to the needs of different users to meet different needsDiverse needs of users at the same level. These reports are no longer limited to financial information, but also include a large amount of non-financial information, and financial reports are becoming more sophisticated and comprehensive. It is no longer limited to regular reports, but can be real-time and visualized. Real-time collection, real-time accounting and analysis, real-time transmission and reporting of financial data provide support for corporate business decisions.

Among them, the impact of blockchain technology on financial reporting is revolutionary. Both external information users of the enterprise and their internal information needs can be quickly determined through the consensus mechanism. Every corporate participant can put forward diverse information needs. Through blockchain technology, financial reports of various styles, contents, structures, and purposes can be generated and released, such as reports based on economic matters, comprehensive income reports, mutual On-demand reports, real-time intelligent financial reports, and intelligent analysis reports have greatly overcome many limitations of current financial reports.

Deppon Express has a large number of customers, large orders, and large circulation data, so it has very high timeliness requirements for reports. By building a business-financial integration system platform and sorting out the data correlation between business documents and financial vouchers, Deppon Express has achieved automatic generation and review of 90% of vouchers, and automatically processed 2 million business documents every month; various reports have been set up Architecture and business rules automatically collect, calculate, and output reports. Each report preparation time is shortened from 4 hours to 60 seconds, enabling intelligent report preparation and real-time query to meet managers' high requirements for report timeliness.

6. Financial risks: From relying on people for risk management to machines automatically identifying risks and providing early warnings

Financial risks include financing risks, investment risks, cash flow risks, etc. Traditional financial risk management and control mainly relies on financial personnel to collect information. The amount of data that needs to be collected for risk identification is huge. It is difficult for financial personnel to integrate data from multiple channels and query and expand related information. This is inefficient and the cost of risk control is high.

With the widespread application of big data, artificial intelligence and other technologies, financial risk management and control has more advanced algorithms, models and tools. With the help of supervised learning algorithms, knowledge graphs and other technologies, the intuitive reasoning possessed by humans can be formalized or machine simulated, and a large amount of accounting information, supplier management review information, accounts receivable aging information, etc. can be processed to predict financial risks. judgment ability. By establishing mathematical models to conduct combined analysis of different risk factors, enterprises can quickly identify potential risks and conduct precise quantitative analysis in a short period of time, thereby achieving timely control of financial risks. In addition, setting up early warning indicators and critical indicators based on the analysis results of big data can also remind managers to take countermeasures before financial risks occur.

Deloitte believes that machine learning can interpret the way financial personnel respond to risks, thereby taking actions autonomously without feedback or intervention, reacting quickly based on a continuous flow of information, thereby reducing financial risks.This enables finance to drive intelligent tools independently without human intervention, achieving unmanned risk management and control.

In order to maintain the stability and adequacy of cash flow and prevent cash flow risks, Alibaba has established a big data financial risk early warning system to digitize abstract factors such as the internal and external operating environment that generate financial risks, and use Big data processing technology identifies abnormal changes in various risk factors. If any risk factors related to cash flow are abnormal, the early warning system can proactively identify based on big data analysis and processing, and provide early warning of potential cash flow risks, and notify managers. Carry out timely risk management and control. Different from the traditional financial risk early warning system, the big data financial risk early warning system can achieve real-time dynamic monitoring of pre-event prediction, in-event processing, and post-event management and control with the support of cloud technology.

[Summary]

In the era of digital economy, under the impact of digital technologies such as big data, cloud computing, and blockchain, the traditional financial management model has undergone profound changes. Financial decision-making changes from experience-driven to data-driven. Fund management extends from internal management to management of the entire industry chain and ecosystem. Cost accounting is refined and cost control is front-loaded. Financial functions shift from accounting supervision to decision support and value creation. Finance Reports have evolved from regular and standard to real-time and diverse, and financial risk management and control has evolved from relying on people to automatically identifying and warning in advance by machines. Enterprises must seize the opportunities of the digital economy, accelerate the digital transformation of financial management, and give full play to the prerequisite advantages of finance in data.

References:

5. What are the development trends of China’s blockchain in 2021?

Looking forward to 2021, the top-level design of my country’s blockchain will be further improved. Application standards for various industries are gradually being established, and the development direction has shifted from technology leadership to market penetration; blockchain integration applications have begun to be implemented in many fields such as finance, supply chain, and government affairs, and the industrial scale will show rapid growth. However, many problems currently faced by the development of blockchain in our country still need to be focused on and started to be solved or alleviated in 2021. For example, the independent innovation capabilities of core technologies still need to be further strengthened, security issues and talent gaps need to be improved urgently, and integrated applications The scene still needs to be explored in depth. Therefore, CCID Research Institute proposed to accelerate the construction of the blockchain ecosystem, improve standards and regulations, improve the supervision system, strengthen the independent innovation capabilities of core technologies, promote the coordinated development of blockchain and other new technologies, and vigorously cultivate professional talents to achieve The blockchain industry is developing healthily.
Yibaoquan has been committed to the research and development and application independent innovation of blockchain since 2014. It is a blockchain electronics company that has maturely used blockchain technology to solidify and store electronic data and has been recognized by judicial authorities. Data storage and security agency. Through the pioneering "blockchain + judicial + application" model, with blockchain technology as the underlying technology and electronic data storage and preservation as the basis, we have launched intellectual property protection (micro-copyright), electronic contract signing (gentleman signature), Internet Notary system (Zhongzhengbao)Three application layer brands.
E-Baoquan jointly launched the "Preservation Chain" open platform in conjunction with the Notary Office, Arbitration Commission, Copyright Protection Center, CA Agency, etc. At the same time, it has connected with the Guangzhou Internet Court and the judicial chain involving more than 30 courts led by the Supreme People’s Court. Continuously improving the "blockchain + judicial" ecosystem, Yibaoquan can provide one-stop blockchain security services such as evidence collection, evidence storage, and certificate issuance for different groups.
Currently, it has obtained 15 independent invention patents, 27 copyrights, ISO 27001 information security system certification, Ministry of Public Security Level 3 certification, national double-high enterprise, and the 2018 National Ministry of Industry and Information Technology Industrial Internet Pilot Demonstration Project (the only Blockchain selected projects), and the first batch of domestic blockchain information service registration companies by the State Cyberspace Administration of China in 2019.

6. What are the prospects of blockchain finance?

1. In fact, the combination of blockchain technology and finance is not accidental. Simply put, blockchain is a distributed shared ledger and database, which has the characteristics of decentralization, non-tampering, full traceability, and traceability. Finance is cooperation based on trust, and these characteristics of blockchain lay the foundation for creating trust. Blockchain technology is of great significance in solving problems in the financial field such as high credit risk, low capital utilization efficiency, and high payment processing costs.
2. In reality, Bitcoin is not equal to blockchain. Digital currency is just one of the applications of blockchain technology in the financial field. In the fields of supply chain finance, payment and clearing, trade finance, financial transactions and other fields, "blockchain +" has rich application scenarios and imagination space.
3. Industry insiders pointed out that although the application prospects of blockchain technology are broad, At present, there are only a small number of projects that have actually been implemented and produced social benefits. Blockchain technology is in the early stage of development and still needs to be viewed rationally. In the next step, blockchain technology should be used to explore digital economic model innovation and add impetus to the optimization of the business environment. , to provide support for promoting high-quality economic development.

7. Industry prospects: How will data blockchain technology affect accounting and auditing

1. Blockchain in payment Field: The cost of reconciliation, clearing and settlement between financial institutions, especially cross-border financial institutions, is high and involves many manual processes; the application of blockchain technology can reduce the cost of reconciliation and dispute resolution between financial institutions, significantly Improve efficiency in the payment field, and make it easier for financial institutions to process small-amount cross-border payment services, which will help realize inclusive financial services.
2. In the field of clearing and settlement: infrastructure structure and business processes between different financial institutions Each is different and involves a lot of manual processing, which greatly increases business costs and is prone to errors. Applying blockchain technology, combined with the on-chain assets mentioned in the second point, can complete point-to-point real-time clearing and settlement, thereby reducing the cost of value transfer , shortening time, improving efficiency, and both parties to the transaction can obtain good privacy protection.
3. Asset management field: Equity, bonds, notes and other assets are managed by different intermediaries to provideIt increases the transaction cost of assets and brings about the problem of certificate forgery. Apply blockchain technology to digitize such assets and turn them into digital assets on the chain. With the irreversible, non-tamperable, and public characteristics of the blockchain, it can improve the efficiency of asset transactions and reduce asset management costs.
Because the characteristics of the blockchain are irreversible and non-tamperable, it makes information confidential and secure, point-to-point transaction transmission, decentralization, and reliable traceability of information; thereby reducing intermediate costs and improving efficiency, it is not only used for accounting and auditing , and can also be applied to all walks of life. Now we can also see the collaborative operation model of blockchain from behind the operation of all walks of life. Therefore, blockchain will definitely change human life extensively and profoundly. Therefore, The entire life service will enter the blockchain era. In this Internet development process, blockchain + physical industries, blockchain e-commerce, and blockchain community operations can all apply blockchain technology.

8. The future development prospects of blockchain

1. Blockchain has become the forefront of global technological development and opened up a new track for international competition. Blockchain will become a new key infrastructure to further accelerate the development of the digital economy, lead a new round of global technological change and industrial change, and become the "source" of technological innovation and model innovation. The world's major developed countries will further pay attention to blockchain technology, intensively introduce relevant policy plans, increase industrial support and guidance, and enhance the competitiveness of their country's blockchain technology and industry.
2. The digital currency bubble gradually cools down. With the spread and popularization of the concept of blockchain technology, more and more people will realize that Bitcoin is not the same as blockchain, and various air coins will be gradually eliminated. Blockchain technology innovation will return to a more rational track. Technical features such as decentralization, multi-party collaboration, and anti-calculation tampering will be highly valued by relevant industries. Some industries with strong innovation capabilities will continue to emerge with blockchain applications that have been transformed based on industry characteristics.

9. What is the development trend of blockchain and the future development trend of blockchain

The development prospects of the blockchain industry are broad driven by both policy and market
Both policy and market Driven by various layers, China's blockchain-related industries are expected to move from reality to reality
In the context of the rapid development of blockchain, China has complied with the needs of globalization, kept pace with international pace, and actively promoted research in domestic blockchain-related fields. Standardization formulation and industrialization development. Compared with the background of increasingly strict supervision of digital currencies such as Bitcoin, support and encouragement for blockchain technology has reached a global consensus, and domestic blockchain technology will also receive national and local policies in the next few years. support. Driven by the dual layers of policy and market, blockchain-related industries are expected to move from reality to reality, and blockchain technology will accelerate the exploration of possible application scenarios.
Forecast of global blockchain market size
According to the "In-depth Analysis Report on Business Model Innovation and Investment Opportunities in the Blockchain Industry" released by the Qianzhan Industry Research Institute, the global blockchain market size is expected to increase from 2017 to 2017. US$411.5 million in 2022 to US$7.6837 billion in 2022US dollar, equivalent to a compound annual growth rate of 79.6%. Given the wide range of applications for distributed ledgers and the rising market value of cryptocurrencies, there is a strong need to improve transparency, security, efficiency and streamline processes, as well as blockchain as a service (
BaaS). As a hot topic of development, the blockchain market will expand rapidly. In addition, communication services, international trade, supply chain management, program platforms, payments, smart contracts, digital identity verification, etc. also urgently need blockchain technology and will create a large number of growth opportunities.
Blockchain, as an integrated application of distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and other technologies, has become a hot topic of research and discussion by international organizations such as the United Nations and the International Monetary Fund as well as governments of many countries in recent years. The industry has also increased investment. At present, the application of blockchain has extended to many fields such as the Internet of Things, intelligent manufacturing, supply chain management, and digital asset transactions, and will bring new opportunities to the development of new generation information technologies such as cloud computing, big data, and mobile Internet. , has the ability to trigger a new round of technological innovation and industrial change.
By 2022, the payment sector may occupy the largest share of the blockchain market
Relying on blockchain technology, instant payment of assets can be realized, which not only has the characteristics of non-tampering and digital identity verification, but also can provide Financial institutions and banks significantly save settlement costs. In addition, blockchain makes it possible to automate payments, eliminating the need for middlemen, saving labor costs and time for buyers and sellers. Thanks to the many advantages mentioned above, it is expected that the payment sector will be the most important segment in the entire blockchain market.
The fastest growing region will be the Asia-Pacific
Blockchain service providers in the Asia-Pacific region are good at designing and developing user-friendly, cost-saving and fast cryptocurrency platforms, extending the blockchain to multiple Industry application tentacles. Both large enterprises and small and medium-sized enterprises are actively seeking venture financing and investing in the research and development of cutting-edge blockchain technology. In addition, the real estate industry in some countries in the Asia-Pacific region is expected to rapidly transform from semi-transparent to fully transparent, which will also help enhance the development prospects of blockchain in the Asia-Pacific region.