Abstract At the recent second high-level seminar on industrial and commercial administration innovation and development, the "Enterprise Development Industry and Commerce Index" research group, composed of the State Administration for Industry and Commerce and Longxin Data Company, utilized big data mining technology to develop the "Enterprise Development Industry and Commerce Index." After analyzing data from the third quarter, it is predicted that China's macroeconomy will continue to improve in the fourth quarter.
According to Professor Hao Ruyu, vice president of Capital University of Economics and Business, the key feature of the "Enterprise Development Industry and Commerce Index" lies in its predictive power. "Big data allows us to make predictions based on correlation analysis," she explained. "By examining big data, we found a strong relationship between the index and GDP as well as public revenue. The growth of the index consistently precedes GDP and public revenue by two quarters."
For instance, Hao Ruyu pointed out that the index rose from 32.1 in March to 40.1 in June this year. Since then, various economic indicators have shown that China’s economy has remained stable. In the third quarter, the index continued to rise, reaching 44.3 in September, suggesting that the macroeconomic outlook for the fourth quarter remains positive.
Wang Bing, chief technology officer at Longxin Data, emphasized that in the era of big data, the ability to analyze correlations between different phenomena has become more efficient and insightful. "The core of correlation is to quantify the mathematical relationship between two variables, allowing us to predict how one variable might change based on another," he said. "Through big data mining, identifying relationships across different fields has become a new way for people to observe and understand the world."
Market entities are the building blocks of the market economy and the creators of social wealth. They are closely linked to economic development and play a crucial role in determining the level of macroeconomic performance and government revenue. The "Enterprise Development Industry and Commerce Index" is built upon big data analysis of major players nationwide, integrating and comparing data from various sectors such as industry, commerce, and finance. This process helps uncover value and accurately forecast China's macroeconomic trends.
Research also revealed a strong linear relationship between the number of enterprises, registered capital, and public revenues with GDP growth. The correlation coefficients between public revenue and the number of enterprises and registered capital were 0.832 and 0.994 respectively. For every 100 million yuan in enterprise registered capital, fiscal revenue increased by approximately 14 million yuan. The correlation coefficients between GDP and the number of enterprises and registered capital were 0.853 and 0.998. Since 1990, an average increase of 100 million yuan in enterprise registered capital has driven GDP growth by about 65 million yuan.
It is reported that the "Enterprise Development Industry and Commerce Index" research group has shifted from traditional sampling methods to full-scale big data mining, analyzing comprehensive and dynamic national enterprise registration data from the industry and commerce sector. This is a classic example of big data value discovery and marks the first major achievement of the Chinese government in the field of big data mining.
Wang Tong explained that the sample for the "Enterprise Development Industry and Commerce Index" comes from the national economic household registration database established under the "Golden Trust Project" by the State Administration for Industry and Commerce. This database includes all market entities across the country, covering over 55 million enterprises and individual business households. The data spans the entire life cycle of enterprises, from establishment to growth, development, and dissolution. During the index construction process, 32 initial indicators were designed, considering dimensions such as scale, industry, and entity type. After extensive data analysis and verification, 10 indicators with significant predictive power for macroeconomic trends were selected.
Looking ahead, big data is set to transform human thinking, daily habits, and business practices, leading to profound changes in societal development. It is considered one of the most important national strategies in the future. Over nearly 20 years of informatization efforts, the Chinese government has accumulated a vast amount of valuable data—referred to as the living fossil of social and economic activities. These data represent non-material wealth that can be recycled indefinitely and serve as a critical basis for scientific decision-making. Through big data mining, departments can unlock value from data. The successful application of the "Enterprise Development Industry and Commerce Index" and its research findings not only marks a promising start for the Chinese government in big data mining but also offers a reference model for future initiatives in this area.
According to Professor Hao Ruyu, vice president of Capital University of Economics and Business, the key feature of the "Enterprise Development Industry and Commerce Index" lies in its predictive power. "Big data allows us to make predictions based on correlation analysis," she explained. "By examining big data, we found a strong relationship between the index and GDP as well as public revenue. The growth of the index consistently precedes GDP and public revenue by two quarters."
For instance, Hao Ruyu pointed out that the index rose from 32.1 in March to 40.1 in June this year. Since then, various economic indicators have shown that China’s economy has remained stable. In the third quarter, the index continued to rise, reaching 44.3 in September, suggesting that the macroeconomic outlook for the fourth quarter remains positive.
Wang Bing, chief technology officer at Longxin Data, emphasized that in the era of big data, the ability to analyze correlations between different phenomena has become more efficient and insightful. "The core of correlation is to quantify the mathematical relationship between two variables, allowing us to predict how one variable might change based on another," he said. "Through big data mining, identifying relationships across different fields has become a new way for people to observe and understand the world."
Market entities are the building blocks of the market economy and the creators of social wealth. They are closely linked to economic development and play a crucial role in determining the level of macroeconomic performance and government revenue. The "Enterprise Development Industry and Commerce Index" is built upon big data analysis of major players nationwide, integrating and comparing data from various sectors such as industry, commerce, and finance. This process helps uncover value and accurately forecast China's macroeconomic trends.
Research also revealed a strong linear relationship between the number of enterprises, registered capital, and public revenues with GDP growth. The correlation coefficients between public revenue and the number of enterprises and registered capital were 0.832 and 0.994 respectively. For every 100 million yuan in enterprise registered capital, fiscal revenue increased by approximately 14 million yuan. The correlation coefficients between GDP and the number of enterprises and registered capital were 0.853 and 0.998. Since 1990, an average increase of 100 million yuan in enterprise registered capital has driven GDP growth by about 65 million yuan.
It is reported that the "Enterprise Development Industry and Commerce Index" research group has shifted from traditional sampling methods to full-scale big data mining, analyzing comprehensive and dynamic national enterprise registration data from the industry and commerce sector. This is a classic example of big data value discovery and marks the first major achievement of the Chinese government in the field of big data mining.
Wang Tong explained that the sample for the "Enterprise Development Industry and Commerce Index" comes from the national economic household registration database established under the "Golden Trust Project" by the State Administration for Industry and Commerce. This database includes all market entities across the country, covering over 55 million enterprises and individual business households. The data spans the entire life cycle of enterprises, from establishment to growth, development, and dissolution. During the index construction process, 32 initial indicators were designed, considering dimensions such as scale, industry, and entity type. After extensive data analysis and verification, 10 indicators with significant predictive power for macroeconomic trends were selected.
Looking ahead, big data is set to transform human thinking, daily habits, and business practices, leading to profound changes in societal development. It is considered one of the most important national strategies in the future. Over nearly 20 years of informatization efforts, the Chinese government has accumulated a vast amount of valuable data—referred to as the living fossil of social and economic activities. These data represent non-material wealth that can be recycled indefinitely and serve as a critical basis for scientific decision-making. Through big data mining, departments can unlock value from data. The successful application of the "Enterprise Development Industry and Commerce Index" and its research findings not only marks a promising start for the Chinese government in big data mining but also offers a reference model for future initiatives in this area.
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Hitachi has been developing and manufacturing elevators and escalators for about 90 years. Social demands on elevators and escalators changed dramatically over time: faster, larger, and barrier-free and required.
History of Hitachi's Elevator and Escalator Business
- 1924Lift manufacturing at the Kameido plant
- 1932First elevator delivered (to Tokyo Electric Power)
- 1937First escalator delivered (to Osaka Railway Department Store)
- 1956Hitachi Building Services Co., Ltd. founded (currently known as Hitachi Building Systems Co., Ltd.)
- 1966Hitachi Elevator Engineering Co ., (Hong Kong) Ltd. founded in Hong Kong
- 1967Construction of an elevator research tower in the Mito plant completed (90m in height)
- 1968300m ⁄ minute ultra high speed elevator delivered to the Kasumigaseki Building, Japan's first skyscraper
- 1972Hitachi Elevator Engineering (Singapore) Pte. Ltd. founded in Singapore
- 1974Delivery of 540m ⁄ minute elevators to skyscrapers in Shinjuku
- 1987Hitachi Mito Engineering Co., Ltd. founded
- 1991Siam-Hitachi Elevator Co., Ltd. Founded in Thailand
- 1998Three affiliated companies in China merged to found Guangzhou Hitachi Elevator Co., Ltd.
- 2003Opened Hitachi Building Solution Lab
- 2007Guangzhou Hitachi Elevator Co., Ltd. renamed to Hitachi Elevator (China) Co., Ltd.
- 2008Hitachi Lift India Pvt. Ltd. foundedDelivered the world's highest class ultra fast double deck elevators to the Shanghai World Financial Center
- 2009Introduction of the Company systems leads to the establishment of the Urban Planning and Development Systems Company
- 2010Completed elevator research tower [G1TOWER" (213m in height) for Mito WorksFounded Hitachi Elevator Asia Pte. Ltd. as a general elevators and escalators business company for the Southeast Asia, India, and Middle East regionsCompleted elevator research tower (172m in height) for Hitachi Elevator (Shanghai) Co. Ltd.
- 2011Founded Hitachi Elevator Philippines CorporationDelivered 600m ⁄ minute elevators to the Al Hamra Mixed-Use Complex in Kuwait.
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