Development Of Modern Service Industry Research Articles

Spatial and Temporal Distribution and Flow Characteristics of High-Quality Development of Modern Service Industry in Chinese Sub-provincial Cities

Based on the new development concept of the service industry, this paper constructs a comprehensive evaluation index system for the high-quality development of modern service industry from a total of 22 indicators in four dimensions, namely, development efficiency, structural optimization, innovation agglomeration and industrial scale. The composite index of 15 sub-provincial cities in China from 2013 to 2022 was measured by entropy weight method, describing the current development status and development differences of each city, and with the help of Kernel density estimation method and Dagum Gini coefficient method, the law of inter-city evolution was inscribed, which revealed the spatial differences of the four major geographic regions and their sources and contributions. The study shows that the overall high-quality development of the service industry in the 15 cities is at a relatively low level, with obvious differences, but all of them are on a slowly rising trend. According to the division of the four major geographic regions, the northeast region has the largest intra-regional differences, and the eastern region has the smallest intra-regional differences. Meanwhile, the spatial imbalance between regions is still aggravating, and there is a clear differentiation between the development level of the eastern and western regions.

Research on the High-quality Development Path of community governance Driven by Big Data in Shandong Province

As an important part of Shandong's social development strategy, community governance was an important symbol to measure the level of economic development of a province. Promoting the development and expansion of community governance had become an important goal and key driving force for the transformation of the driving force of Shandong's economic development. With the transformation of data into a valuable resource, the concept of digitalization came into being and had been applied to many fields. The value of big data would had a revolutionary impact on the development of modern service industry, which also put forward higher requirements for community governance. With the development of digital city and smart city in our province, community governance in our province had also initially embarked on the fast lane of intelligent development, and the application of data in community governance had been widely played.

Comprehensive Evaluation of Modern Service Industry in Anhui Province based on Entropy Weight TOPSIS Method

Modern service industry, as a significant symbol of modernization level, is an important engine to promote the upgrading of industrial structure and economic and social development, and has important practical significance for Anhui to achieve all-round high-quality development. This paper takes the modern service industry of Anhui province as the research object, constructs a comprehensive evaluation index system of modern service industry from four dimensions of development environment, development scale, development benefit and development potential, uses the entropy weight TOPSIS method to measure the development level of modern service industry of Anhui province, compares it with other provinces in central China, and identifies the problems and deficiencies in the development of modern service industry of Anhui province. And carry on the obstacle degree analysis, clear each index to Anhui modern service industry development level of the obstacle degree, and put forward the corresponding countermeasures and suggestions.

Factor Analysis and Mental Health Prevention of Employee Turnover under the Profit-Centered Development of Modern Service Industry.

Recently, the employee turnover rate of the modern service industry has continued to increase, leading to a decline in the service quality, customer turnover, and an increase in human costs. Meanwhile, fierce competition and enterprises' internal pressure have brought great psychological trauma to employees and affected their mental health. Understanding and finding out the factors that affect employees' resignations are the solutions to employees' mental health problems. The research innovation lies in building a relationship model between turnover intention, psychological contract, and job satisfaction; analyzing the influence mechanism and interaction of various variables in the model; and providing reference and thinking for the service industry to solve the problem of excessive turnover of employees. Besides, the questionnaire design and investigation are carried out, and 60 front-line employees of a service company are selected as the research objects. The results show that the overall internal consistency coefficient of SCL-90 is 0.96, and the overall consistency coefficient is directly proportional to the scale's reliability. The validity coefficient of SCL-90 is 0.79, which has good compatibility validity. Moreover, the correlation coefficient between the psychological contract and turnover intention is 0.621, and the Sig value is 0.00. The correlation coefficient between job satisfaction and turnover intention is −0.663, and the Sig value is 0.00. The psychological contract is positively correlated with turnover intention, and job satisfaction is negatively correlated with turnover intention. After the standard dance experiment, the P values of psychological indicators such as somatization, interpersonal relationship, depression, anxiety, and psychosis factors of employees in the control and experimental groups are all less than 0.05, indicating a significant correlation. Therefore, through 12 weeks of standard dance practice, all psychological indicators of the experimental group are significantly improved. However, the change results of the terror factor and paranoia factor are P > 0.05, showing no significant difference. After the standard dance experiment, there is a significant difference between the control and experimental groups in mental health factors, but no significant difference in terror and paranoia factors. This study has significant reference value for the prevention of employee turnover and mental health.

Path of Regional Economic Transformation and Upgrading Based on Recurrent Neural Network.

At present, the development of the regional economy is very rapid and widespread. However, due to increasingly prominent problems such as the low level of technological innovation and the unreasonable industrial structure, the economic growth rate has declined. Therefore, it is particularly important to use the circular economy network to study the transformation and upgrading of the regional economy. It clarifies the stakeholders in the process of transformation and upgrading of manufacturing enterprises. Its benefits in the network are given, and symptoms and mobilization methods and the obstacles and solutions to the development of mobilization among various subjects are drawn. In addition, it also emphasizes the equivalence between intelligent products and human subjects in this network. Because of the intelligence carried by products under the current background, diversified connotations and functions are becoming more and more abundant. The empirical results show that the pulling coefficients of residents' consumption level, the development of modern service industry, and urbanization rate to economic growth are 0.1812, 0.7165, and 0.1635, respectively, while the pulling coefficient of Gini coefficient to economic growth is −0.1785.

RETRACTED ARTICLE: Simulation of enterprise accounting information system based on improved neural network and cloud computing platform

With the development of science and technology and the application of big data technology, a new computing model based on the Internet has gradually been applied to all levels of society. This kind of computing technology relying on big data is also known as cloud computing, which can continuously integrate the collected big data and process the data by categories, so that the data can be used most efficiently. This will improve the user experience and enable users to enjoy the service of big data whenever and wherever. At the same time, advanced technology can also be combined with new service mode, which has become an important turning point in the development of modern service industry. For most enterprises, informatization is an inevitable development path. In order to improve the efficiency of enterprise accounting, we hope that the research of cloud computing can improve the efficiency of enterprise accounting and improve the development of enterprise information system.

Prediction of Ten-Year Cardiovascular Disease Risk in People with Type 2 Diabetes Mellitus: Derivation in Nanjing, China and External Validation in Scotland, UK

Objective: To use routinely collected data to develop a 10-year cardiovascular disease(CVD) risk prediction model for Chinese adults with type 2 diabetes with validation of its performance in a population of European ancestry. Research Design and Methods: People with incident type 2 diabetes and no history of CVD at diagnosis of diabetes between 2008 and 2017 were included in derivation and validation cohorts. The derivation cohort was identified from a pseudonymised research extract of data from the First Affiliated Hospital of Nanjing Medical University(NMU). Ten-year risk of CVD was estimated using basic and extended Cox proportional hazards regression models including six and 11 predictors respectively. The risk prediction models were internally validated by a bootstrap approach and externally validated in a Scottish population-based cohort with CVD events identified from linked hospital records. Discrimination and calibration were assessed using Harrell’s C statistic and calibration plots, respectively. Results: Mean age of the derivation and validation cohorts were 58.4 and 59.2 years, with 53.5% and 56.9% men respectively. During a median follow-up time of 4.75 [2.67, 7.42] years, 18,827 (22.25%) of the 84,630 people in the NMU cohort and 8,763(7.31%) of the Scottish cohort of 119,891 people developed CVD. The extended model had a C statistic of 0.723[0.721-0.724] in internal validation and 0.716 [0.713-0.719] in external validation. Conclusions: It is possible to generate a risk prediction model with moderate discriminative power in internal and external validation derived from routinely collected Chinese hospital data. The proposed risk score in this paper could be used to improve CVD prevention in people with diabetes. Funding Statement: This work was supported by grants from the National key Research & Development Plan of the Ministry of Science and Technology of the People’s Republic of China (Grant no. 2018YFC1314900, 2018YFC1314901), 2019 Provincial Special Guide Fund Project for the Development of Modern Service Industry (2019 (783) ), the 2018 Projects of Jiangsu Province Department of Industry and Information Technology(Grant no. 2018419) and the 2016 Projects of Nanjing Science Bureau (Grant no. 201608003). Declaration of Interests: The authors declare no competing interests. Ethics Approval Statement: Approval for generation and analysis of the linked data set was provided by the Jiangsu Province Hospitals and the Nanjing Medical University ethics committees.

Research on Trans-Boundary Convergence of Different Service Chains in Health Service Ecosystem

With the aging of the population and the development of modern service industries, the health service ecosystem (HSE) is beginning to emerge. As a new form of healthcare industry in the Internet era, HSE has its inherent “social cyber” complexity: the source of healthcare service is social, and such sociality aggravates the diversity, uncertainty, and dynamics of service supply. This poses new challenges to the service matching between diverse supply and personalized requirements for aged persons. In order to meet this challenge, it is necessary to conduct the trans-boundary cooperation and integration between service chains in different domains, including business convergence, interface convergence and value convergence. This task is very difficult and there is currently no common method. In order to change such a situation, this paper proposes an interactive trans-boundary convergence method for health service ecosystem based on micro-service architecture. Firstly, the method confirms the value of service convergence, and then uses this as a driving force to achieve business process integration of different service chains. Then, the business coupling between different service chains is converted into asynchronous data communication to achieve interface convergence. Finally, the value assessment of service convergence is given to realize the value convergence. This method has been verified in the construction of National healthcare service platform for the elderly in China. The results demonstrate that our method has a substantial promise.

Application on Development of Modern Service Industry in China Based on Artificial Intelligent Model Optimized by TANSAFOA

Modern service industry is one of the industries that widely applies artificial intelligent (AI) in the era of big data. The development of modern service industry plays a very important role in industrial transformation. The emergence of AI technology improves the effectiveness of data mining, and more and more scholars suggest a series of optimization methods to lift the prediction ability. In this study, tangent fruit fly optimization algorithm with step adjust (TANSAFOA) is proposed and it is used to optimize multivariate adaptive regression splines (MARS) and back propagation neural network (BPNN) to construct a prediction model of business performance. The result shows TANSAFOA can effectively optimize the prediction model and the BPNN model optimized by TANSAFOA has higher prediction performance than MARS. TANSAFOA BPNN-model is the most appropriate prediction model for modern service industry in China.

Analysis of and Theoretical Reflections on China’s “Excessive De-Industrialization” Phenomenon

Industrialization is a long-term process of spiral transformation and upgrading. In a broad sense, industrialization can be divided into two stages, i.e. shallow industrialization and deep industrialization. The first stage refers to a process of expansive industrialization aiming to increase the proportion of industry, while the second stage refers to a process of contractive industrialization centered on improvements in industrial quality and competitiveness, to which the shallow industrialization is transformed and upgraded. In fact, the industrialization stages divided according to traditional theories, i.e. early stage, middle stage and late stage, are only for achieving the goals of shallow industrialization, instead of ultimately completing the developmental tasks of industrial economy. The transforming and upgrading from shallow industrialization to deep industrialization is an essential stage for a major country to enhance its development quality and competitiveness of industrial economy. So far, China has not fully industrialized. In the context of unbalanced and inadequate industrial development, China has seen a rapid decline in the industrial value-added and employment proportions in recent years, prematurely showing the features of rapid excessive de-industrialization in all respects. China’s current excessive de-industrialization is not only attributed to the impulse of rushing into mass actions in industrial upgrading, but also resulting from the combined effects of multiple factors such as surging factor prices and overcapacity at the current stage, exerting serious negative impacts on China’s economic growth, productivity improvement, development of modern service industry and transfer of agricultural labor force. In a long period of time ahead, considering the need to improve the quality of industrialization and the relationship between industry and services, real economy and virtual economy, the industry dominated by advanced manufacturing industry is still China’s major impetus for driving the medium–high rate of sustained and stable economic growth. Advancing deep industrialization remains a long and arduous task. Therefore, it is required to get rid of the misunderstanding caused by traditional theories and thinking, reconsider the importance of industrialization, implement the strategy of deep industrialization and prevent excessive de-industrialization. The specific measures include: expedite the promotion of deep industrialization in the developed regions of Eastern China, build a group of advanced manufacturing bases in Central and Western China and facilitate an in-depth integrated development of advanced manufacturing industry and modern service industry.

Service Bridge: Transboundary Impact Evaluation Method of Internet

Transboundary has become not only a trend but also an important requirement and feature of modern service industry development. In the Internet era, transboundary service not only changed people’s daily life, but also had a profound impact on the business model of traditional industry. China has proposed the “Internet+” development plan, hoping to use the Internet for the transformation of traditional industries, including retail, manufacturing, catering, agriculture, finance, and health care. However, the transboundary impact of Internet on the operating model of traditional industry is decided by a combination of a variety of factors. Currently, the appropriate assessment model and analysis methods are absent in this field. Based on this, the impact evaluation method of Internet (service bridge) is proposed from the prospect of supply and demand matching, which includes three main parts: the capability model of supply side, the characteristic model of demand side, and the service bridge model. Based on the proposed method, the corresponding computational experiment system is built to evaluate the impact of Internet mode in different industries. Finally, this paper verifies the method with actual cases, and compares the transboundary impact of Internet in different daily consumption industries (online to offline in beauty service and take-out food service industry). The results showed that the “service bridge” method can introduce a new idea for the transboundary impact evaluation of Internet, which can provide some decision support to the reconstruction of demand value chain in some traditional industries.

A Study on the Current Status of China’s Courier Industry and the Strategy of Its Future Development

The courier industry in China has developed rapidly and became a “dark horse” of China’s economy. It plays an irreplaceable role in promoting China’s economic transformation, industrial restructuring and modern service industry development. The courier companies in China, mainly privately-owned, have experienced the constraints and bottlenecks in their development. These problems, together with the instinct problems of the private-owned courier companies, made it difficult for them to compete the multinational courier counterparts. In October 2015, the State Council announced Several Measures to Promote the Development of China’s Courier Industry, which brought the unprecedented opportunities to the development of China’s courier firms. To take the opportunity of the “One Belt, One Road” and the “outgoing” national strategy, China’s courier enterprises must accelerate the setup of modern courier enterprise system, painstakingly implement the brand strategy, strengthen the worker training, standardize the employing regulations, explore the overseas markets.

Study on the Evaluation of Economic Support Index for Pig Breeding in Water Network Area of Middle Reaches of Yangtze River

The central region of China boasts a long history, abundant resources, convenient transportation, advanced economy, a strong industrial and agricultural foundation and a rapid development of modern service industry, with about 10.7% of the country's total land area, 26.5% of the country's population and a GDP of about 21.4% of the country's total . As the population center, transportation hub, economic hinterland and important market, it is the second echelon of China's economic development; the central region of China plays an important role in the division of labor in China. The middle reaches of the Yangtze River water network includes four neighboring provinces- Hubei, Hunan, Anhui and Jiangxi. Although all four provinces are located in the middle of the Yangtze River Basin, there are still quite some differences. Based on the 2017 Statistical Yearbook data, this paper studies the economic supportive index of pig breeding in four provinces located in the water network area of the middle reaches of the Yangtze River in Jiangxi, Hubei, Hunan and Anhui. The evaluation results show that among the four provinces, the socio-economic conditions of Hubei Province can most support the large-scale cultivation of live pigs, and the support of Jiangxi Province is the weakest.

Model Construction of Supply Chain of Innovative Producer Service—Perspective of Service Outsourcing Based on SOA Theory

With the deepening of economic globalization and the advancement of science and technology, modern service industry has developed rapidly. However, the traditional product supply chain cannot meet the need of its development. A new market environment needs a new theory of service supply chain which accords with the social development, to guide a healthy and orderly development of modern service industry. Considering the correlation between service supply chain and service-oriented architecture theory (SOA), this paper constructs the general model of Producer Service supply chain based on SOA theory by using relevant scientific theories and methods of service. Furthermore, a case analysis is made on the model of Foxconn's human resources’ outsourcing chain. This paper broadens the theoretical perspective of supply chain to a certain extent, and provides practical guidance for Producer Service supply chain management based on concrete case analysis.

An Analysis of the Development of Modern Service Industry in China's National Strategy

Through the comparison of the data and development experience of China with other major developed countries, this paper finds that China's modern service industry is still in the stage which industrial contribution rate is lower, the development speed is slower and lacks international competitiveness. The main factors that restrict the development of modern service industry in China include the urbanization development lags behind, the industrial process is still in the middle and late stage, and the system and industrial structure are unreasonable. This paper argues that the promotion of the development of modern service industry must give priority to the development of manufacturing industry with high added value so that it can increase per-capita GDP, and lay a solid foundation for urbanization and industrialization.

The development of modern service industry in China and its influence factors

With the rapid development of network and information technology, how to grasp the main influence factors and promote the healthy development of modern service industry? Based on the time series data from year 2000 to 2013, this paper analyzes the status quo of modern service industry in China and discusses its influence factors. This paper proposes the influence factor model of the development of modern service industry by grey relational analysis, and analyzes the influence factors and their contributions using weighted relational degree. The results indicate: (1) despite the fast development speed of modern service industry, its value-added proportion is relatively low; (2) the most critical factors affecting the development of modern service industry are informatization, marketization, urbanization and industrialization; education development and economic development have a little impact. In order to promote its development, this paper puts forward some rational suggestions in the aspects of strengthening information construction, deepening market reform, promoting industrial upgrading and optimizing internal structure, and providing sufficient material conditions and specialized personnel.

Land Use/Cover Change from 2001 to 2010 and its Socioeconomic Determinants in Guangdong Province, A Rapid Urbanization Area of China

Rapid economic and population growth exert profound effects on land use/cover change, especially in rapid economically developing areas, such as Guangdong Province-a pioneer of economic growth and urbanization in China. To elucidate the changes and mutual conversions of land-use types and their determinants in Guangdong Province, land-use maps of Guangdong Province from 2001 to 2010 were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) L1B images with 500 m resolution by using the supervised classification combined support vector machine (SVM) algorithm with a decision tree. The results indicate that during the studied time period, the area of urban land and orchards increased by 4186 km2 and 3615.5 km2, respectively, while the percentage of cropland decreased from 11.46% to 10.14%. Massive urbanization and cropland loss have occurred in the region. The conversion from wasteland to urban land, and the mutual transformation between wasteland and cropland were the most prevalent in Guangdong Province. This was especially obvious from 2007 to 2010, with an annual changing rate of 5.13% and -19.33%, respectively. Several socio-economic factors were also obtained to investigate their impacts on land-use changes in Guangdong Province. It is shown that marked increases in gross domestic product (GDP), total investment in fixed assets, total retail sales of consumer goods, and the increasing development of modern service industries have led to large-scale migration, and industrial structure adjustment and improvement; consequently dramatically rapid expansion of cities and cropland loss have occurred.

Land use/cover change from 2001 to 2010 and its socioeconomic determinants in Guangdong Province, a rapid urbanization area of China

Rapid economic and population growth exert profound effects on land use/cover change, especially in rapid economically developing areas, such as Guangdong Province-a pioneer of economic growth and urbanization in China. To elucidate the changes and mutual conversions of land-use types and their determinants in Guangdong Province, land-use maps of Guangdong Province from 2001 to 2010 were obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) L1B images with 500 m resolution by using the supervised classification combined support vector machine (SVM) algorithm with a decision tree. The results indicate that during the studied time period, the area of urban land and orchards increased by 4186 km2 and 3615.5 km2, respectively, while the percentage of cropland decreased from 11.46% to 10.14%. Massive urbanization and cropland loss have occurred in the region. The conversion from wasteland to urban land, and the mutual transformation between wasteland and cropland were the most prevalent in Guangdong Province. This was especially obvious from 2007 to 2010, with an annual changing rate of 5.13% and -19.33%, respectively. Several socio-economic factors were also obtained to investigate their impacts on land-use changes in Guangdong Province. It is shown that marked increases in gross domestic product (GDP), total investment in fixed assets, total retail sales of consumer goods, and the increasing development of modern service industries have led to large-scale migration, and industrial structure adjustment and improvement; consequently dramatically rapid expansion of cities and cropland loss have occurred.

The Evaluation of the Old Industrial Base Transformation—With the Development of Modern Service Industrial Cluster in Liaoning Province as an Example

With the development of economy and the cluster development of modern service industry, the revitalization plan of northeast area and the upgrading of industrial structure in Liaoning depend on the improvement of its modern service industry. But the cluster development is the mainstream not only in developed countries but also domestic developed areas. Therefore, to speed up the process of modern service industry cluster in Liaoning has certain significances in promoting the development of clustering situation which should be guided reasonably.

The Current Situation and Prospect of Sports Service Industry in China under New Situations

Sports service industry is an important part of sports industry and the development level of sports service industry and its degree is an important maturity sign of sports industry. Since the 1990s,half of the developed countries, such as Europe and America, sports service industry output value has exceeded the total output value of the sports industry, and Chinese sports service industry added value will not increase the value of the sports industry to 20%, accounting third of industrial added value about 0.3%, compared with the developed countries, there is a big gap, but in turn, it also indicates that Chinese sports service industry has a larger space for development and potential. Third Plenary Session of eighteen and eighteenth explicitly proposed to "promote the service industry especially the modern service industry development and growth" sports services as a fundamental part of modern service industry, is bound to usher in an unprecedented development. Based on this, the objective and comprehensive description of the current status of sport-based development of Chinese service industry, the development situation of Chinese future prospects sports service industry, and strive to provide an objective and detailed basic data for the relevant decision-making authorities, the development of rational and effective policies and measures to promote scientific development of Sports Service better and faster.